From d09db9f11f079cb8494af4795bcf9e45fd0ea6b4 Mon Sep 17 00:00:00 2001
From: Laine <lainecaseysmith@gmail.com>
Date: Wed, 5 Mar 2025 17:24:18 -0500
Subject: [PATCH 01/98] Move where goal is set, make dummy data default for
 create_invoice

---
 api/main.py             | 13 ++++++--
 tools/create_invoice.py | 72 +++++++++++++++++++++++------------------
 tools/goal_registry.py  |  1 -
 3 files changed, 51 insertions(+), 35 deletions(-)

diff --git a/api/main.py b/api/main.py
index b381bb6..0b453e2 100644
--- a/api/main.py
+++ b/api/main.py
@@ -23,12 +23,21 @@ load_dotenv()
 
 def get_agent_goal():
     """Get the agent goal from environment variables."""
-    goal_name = os.getenv("AGENT_GOAL", "goal_match_train_invoice")
     goals = {
         "goal_match_train_invoice": goal_match_train_invoice,
         "goal_event_flight_invoice": goal_event_flight_invoice,
     }
-    return goals.get(goal_name, goal_event_flight_invoice)
+# Agent Goal Configuration
+#AGENT_GOAL=goal_event_flight_invoice  
+#AGENT_GOAL=goal_match_train_invoice
+
+    #goal_name = os.getenv("AGENT_GOAL")
+    goal_name = "goal_event_flight_invoice"
+    if goal_name is not None:
+        return goals.get(goal_name)
+    else:
+        #if no goal is set in the env file, default to event/flight use case
+        return goals.get("goal_event_flight_invoice", goal_event_flight_invoice)
 
 
 @app.on_event("startup")
diff --git a/tools/create_invoice.py b/tools/create_invoice.py
index 4771a53..9fcd1aa 100644
--- a/tools/create_invoice.py
+++ b/tools/create_invoice.py
@@ -4,7 +4,7 @@ from dotenv import load_dotenv
 
 load_dotenv(override=True)  # Load environment variables from a .env file
 
-stripe.api_key = os.getenv("STRIPE_API_KEY", "YOUR_DEFAULT_KEY")
+stripe.api_key = os.getenv("STRIPE_API_KEY")
 
 
 def ensure_customer_exists(
@@ -26,41 +26,49 @@ def ensure_customer_exists(
 
 def create_invoice(args: dict) -> dict:
     """Create and finalize a Stripe invoice."""
-    # Find or create customer
-    customer_id = ensure_customer_exists(
-        args.get("customer_id"), args.get("email", "default@example.com")
-    )
+    # If an API key exists in the env file, find or create customer
+    if stripe.api_key is not None:
+        customer_id = ensure_customer_exists(
+            args.get("customer_id"), args.get("email", "default@example.com")
+        )
 
-    # Get amount and convert to cents
-    amount = args.get("amount", 200.00)  # Default to $200.00
-    try:
-        amount_cents = int(float(amount) * 100)
-    except (TypeError, ValueError):
-        return {"error": "Invalid amount provided. Please confirm the amount."}
+        # Get amount and convert to cents
+        amount = args.get("amount", 200.00)  # Default to $200.00
+        try:
+            amount_cents = int(float(amount) * 100)
+        except (TypeError, ValueError):
+            return {"error": "Invalid amount provided. Please confirm the amount."}
 
-    # Create an invoice item
-    stripe.InvoiceItem.create(
-        customer=customer_id,
-        amount=amount_cents,
-        currency="gbp",
-        description=args.get("tripDetails", "Service Invoice"),
-    )
+        # Create an invoice item
+        stripe.InvoiceItem.create(
+            customer=customer_id,
+            amount=amount_cents,
+            currency="gbp",
+            description=args.get("tripDetails", "Service Invoice"),
+        )
 
-    # Create and finalize the invoice
-    invoice = stripe.Invoice.create(
-        customer=customer_id,
-        collection_method="send_invoice",  # Invoice is sent to the customer
-        days_until_due=args.get("days_until_due", 7),  # Default due date: 7 days
-        pending_invoice_items_behavior="include",  # No pending invoice items
-    )
-    finalized_invoice = stripe.Invoice.finalize_invoice(invoice.id)
-
-    return {
-        "invoiceStatus": finalized_invoice.status,
-        "invoiceURL": finalized_invoice.hosted_invoice_url,
-        "reference": finalized_invoice.number,
-    }
+        # Create and finalize the invoice
+        invoice = stripe.Invoice.create(
+            customer=customer_id,
+            collection_method="send_invoice",  # Invoice is sent to the customer
+            days_until_due=args.get("days_until_due", 7),  # Default due date: 7 days
+            pending_invoice_items_behavior="include",  # No pending invoice items
+        )
+        finalized_invoice = stripe.Invoice.finalize_invoice(invoice.id)
 
+        return {
+            "invoiceStatus": finalized_invoice.status,
+            "invoiceURL": finalized_invoice.hosted_invoice_url,
+            "reference": finalized_invoice.number,
+        }
+    # if no API key is in the env file, return dummy info
+    else:
+        print("[CreateInvoice] Creating invoice with:", args)
+        return {
+            "invoiceStatus": "generated",
+            "invoiceURL": "https://pay.example.com/invoice/12345",
+            "reference": "INV-12345",
+        }
 
 def create_invoice_example(args: dict) -> dict:
     """
diff --git a/tools/goal_registry.py b/tools/goal_registry.py
index a903d68..db7d1fc 100644
--- a/tools/goal_registry.py
+++ b/tools/goal_registry.py
@@ -51,7 +51,6 @@ goal_match_train_invoice = AgentGoal(
     ),
 )
 
-# unused
 goal_event_flight_invoice = AgentGoal(
     tools=[
         find_events_tool,

From 4c933b505283e57798aab25fb37c0b64ab774322 Mon Sep 17 00:00:00 2001
From: Joshua Smith <joshmsmith@gmail.com>
Date: Fri, 7 Mar 2025 09:46:22 -0500
Subject: [PATCH 02/98] making plans

---
 todo.md                          | 22 ++++++++++++++++++++++
 workflows/agent_goal_workflow.py | 10 +++++++++-
 2 files changed, 31 insertions(+), 1 deletion(-)
 create mode 100644 todo.md

diff --git a/todo.md b/todo.md
new file mode 100644
index 0000000..2d79665
--- /dev/null
+++ b/todo.md
@@ -0,0 +1,22 @@
+# todo list
+[ ] create people management scenario <br />
+  -- check pay status
+  -- book work travel
+  -- check PTO levels
+  -- check insurance coverages
+  -- book PTO around a date (https://developers.google.com/calendar/api/guides/overview)? 
+  -- scenario should use multiple tools
+  -- expense management
+  -- check in on the health of the team
+[ ] demo the reasons why:
+  -- Orchestrate interactions across distributed data stores and tools
+  -- Hold state, potentially over long periods of time
+  -- Ability to ‘self-heal’ and retry until the (probabilistic) LLM returns valid data
+  -- Support for human intervention such as approvals
+  -- Parallel processing for efficiency of data retrieval and tool use
+  -- Insight into the agent’s performance
+
+[ ] customize prompts in [workflow to manage scenario](./workflows/tool_workflow.py)<br />
+[ ] add in new tools? <br />
+[ ] create tests<br />
+[ ] non-retry the api key error - "Invalid API Key provided: sk_test_**J..." and "AuthenticationError"
\ No newline at end of file
diff --git a/workflows/agent_goal_workflow.py b/workflows/agent_goal_workflow.py
index fdc8fc5..9e17537 100644
--- a/workflows/agent_goal_workflow.py
+++ b/workflows/agent_goal_workflow.py
@@ -42,9 +42,11 @@ class AgentGoalWorkflow:
         self.confirm: bool = False
         self.tool_results: List[Dict[str, Any]] = []
 
+    # see ../api/main.py#temporal_client.start_workflow() for how these parameters are set
     @workflow.run
     async def run(self, combined_input: CombinedInput) -> str:
         """Main workflow execution method."""
+        # setup phase
         params = combined_input.tool_params
         agent_goal = combined_input.agent_goal
 
@@ -55,18 +57,23 @@ class AgentGoalWorkflow:
         if params and params.prompt_queue:
             self.prompt_queue.extend(params.prompt_queue)
 
-        waiting_for_confirm = False
+        waiting_for_confirm = False # controls if we confirm with the user
         current_tool = None
 
+        # interactive loop
         while True:
+            # wait for signals
             await workflow.wait_condition(
                 lambda: bool(self.prompt_queue) or self.chat_ended or self.confirm
             )
 
+            #process signals of various kinds
+            #chat-end signal
             if self.chat_ended:
                 workflow.logger.info("Chat ended.")
                 return f"{self.conversation_history}"
 
+            # tool execution if selected and confirmed
             if self.confirm and waiting_for_confirm and current_tool and self.tool_data:
                 self.confirm = False
                 waiting_for_confirm = False
@@ -135,6 +142,7 @@ class AgentGoalWorkflow:
                 )
                 self.tool_data = tool_data
 
+                # move forward in the tool chain
                 next_step = tool_data.get("next")
                 current_tool = tool_data.get("tool")
 

From 64d2a92630118dcd5c411906c5ac565dabf11d2f Mon Sep 17 00:00:00 2001
From: Joshua Smith <joshmsmith@gmail.com>
Date: Fri, 7 Mar 2025 09:58:25 -0500
Subject: [PATCH 03/98] more understanding

---
 workflows/agent_goal_workflow.py | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/workflows/agent_goal_workflow.py b/workflows/agent_goal_workflow.py
index 9e17537..1085da4 100644
--- a/workflows/agent_goal_workflow.py
+++ b/workflows/agent_goal_workflow.py
@@ -50,6 +50,7 @@ class AgentGoalWorkflow:
         params = combined_input.tool_params
         agent_goal = combined_input.agent_goal
 
+        # set sample conversation to start
         if params and params.conversation_summary:
             self.add_message("conversation_summary", params.conversation_summary)
             self.conversation_summary = params.conversation_summary
@@ -131,6 +132,7 @@ class AgentGoalWorkflow:
                     context_instructions=context_instructions,
                 )
 
+                # connect to LLM and get which tool to run
                 tool_data = await workflow.execute_activity(
                     ToolActivities.agent_toolPlanner,
                     prompt_input,

From 4117d5d62d1e5cfa465551fd3554f39c23ea4bfb Mon Sep 17 00:00:00 2001
From: Laine <lainelminor@gmail.com>
Date: Fri, 7 Mar 2025 16:12:21 -0500
Subject: [PATCH 04/98] Add new goal to choose agent type - only kind of
 working

---
 api/main.py                      | 15 ++++--------
 shared/config.py                 |  3 +++
 tools/__init__.py                |  9 +++++++
 tools/change_goal.py             | 13 +++++++++++
 tools/choose_agent.py            | 27 +++++++++++++++++++++
 tools/goal_registry.py           | 40 ++++++++++++++++++++++++++++++--
 tools/tool_registry.py           | 38 ++++++++++++++++++++++++++++++
 tools/transfer_control.py        |  7 ++++++
 workflows/agent_goal_workflow.py | 34 +++++++++++++++++++++++----
 9 files changed, 170 insertions(+), 16 deletions(-)
 create mode 100644 tools/change_goal.py
 create mode 100644 tools/choose_agent.py
 create mode 100644 tools/transfer_control.py

diff --git a/api/main.py b/api/main.py
index 0b453e2..e5c42da 100644
--- a/api/main.py
+++ b/api/main.py
@@ -6,13 +6,12 @@ from temporalio.api.enums.v1 import WorkflowExecutionStatus
 from fastapi import HTTPException
 from dotenv import load_dotenv
 import asyncio
-import os
 
 from workflows.agent_goal_workflow import AgentGoalWorkflow
 from models.data_types import CombinedInput, AgentGoalWorkflowParams
-from tools.goal_registry import goal_match_train_invoice, goal_event_flight_invoice
+from tools.goal_registry import goal_match_train_invoice, goal_event_flight_invoice, goal_choose_agent_type
 from fastapi.middleware.cors import CORSMiddleware
-from shared.config import get_temporal_client, TEMPORAL_TASK_QUEUE
+from shared.config import get_temporal_client, TEMPORAL_TASK_QUEUE, AGENT_GOAL
 
 app = FastAPI()
 temporal_client: Optional[Client] = None
@@ -26,15 +25,11 @@ def get_agent_goal():
     goals = {
         "goal_match_train_invoice": goal_match_train_invoice,
         "goal_event_flight_invoice": goal_event_flight_invoice,
+        "goal_choose_agent_type": goal_choose_agent_type,
     }
-# Agent Goal Configuration
-#AGENT_GOAL=goal_event_flight_invoice  
-#AGENT_GOAL=goal_match_train_invoice
 
-    #goal_name = os.getenv("AGENT_GOAL")
-    goal_name = "goal_event_flight_invoice"
-    if goal_name is not None:
-        return goals.get(goal_name)
+    if AGENT_GOAL is not None:
+        return goals.get(AGENT_GOAL)
     else:
         #if no goal is set in the env file, default to event/flight use case
         return goals.get("goal_event_flight_invoice", goal_event_flight_invoice)
diff --git a/shared/config.py b/shared/config.py
index 282e6d2..0775a39 100644
--- a/shared/config.py
+++ b/shared/config.py
@@ -16,6 +16,9 @@ TEMPORAL_TLS_CERT = os.getenv("TEMPORAL_TLS_CERT", "")
 TEMPORAL_TLS_KEY = os.getenv("TEMPORAL_TLS_KEY", "")
 TEMPORAL_API_KEY = os.getenv("TEMPORAL_API_KEY", "")
 
+#Starting agent goal - 1st goal is always to help user pick a next goal
+AGENT_GOAL = "goal_choose_agent_type"
+
 
 async def get_temporal_client() -> Client:
     """
diff --git a/tools/__init__.py b/tools/__init__.py
index 37672c7..f71f072 100644
--- a/tools/__init__.py
+++ b/tools/__init__.py
@@ -4,6 +4,9 @@ from .search_trains import search_trains
 from .search_trains import book_trains
 from .create_invoice import create_invoice
 from .find_events import find_events
+from .choose_agent import choose_agent
+from .change_goal import change_goal
+from .transfer_control import transfer_control
 
 
 def get_handler(tool_name: str):
@@ -19,5 +22,11 @@ def get_handler(tool_name: str):
         return create_invoice
     if tool_name == "FindEvents":
         return find_events
+    if tool_name == "ChooseAgent":
+        return choose_agent
+    if tool_name == "ChangeGoal":
+        return change_goal
+    if tool_name == "TransferControl":
+        return transfer_control
 
     raise ValueError(f"Unknown tool: {tool_name}")
diff --git a/tools/change_goal.py b/tools/change_goal.py
new file mode 100644
index 0000000..2458796
--- /dev/null
+++ b/tools/change_goal.py
@@ -0,0 +1,13 @@
+# can this just call the API endpoint to set the goal, if that changes to allow a param?
+# --- OR ---
+# end this workflow and start a new one with the new goal
+import shared.config
+
+def change_goal(args: dict) -> dict:
+
+    new_goal = args.get("goalID")
+    shared.config.AGENT_GOAL = new_goal
+
+    return {
+        "new_goal": shared.config.AGENT_GOAL,
+    }
\ No newline at end of file
diff --git a/tools/choose_agent.py b/tools/choose_agent.py
new file mode 100644
index 0000000..d081f20
--- /dev/null
+++ b/tools/choose_agent.py
@@ -0,0 +1,27 @@
+from pathlib import Path
+import json
+
+def choose_agent(args: dict) -> dict:
+
+   # file_path = Path(__file__).resolve().parent / "goal_regsitry.py"
+    #if not file_path.exists():
+      #  return {"error": "Data file not found."}
+
+    agents = []
+    agents.append(
+        {
+            "agent_name": "Event Flight Helper",
+            "goal_id": "goal_event_flight_invoice",
+            "agent_description": "Helps users find interesting events and arrange travel to them",
+        }
+    )
+    agents.append(
+        {
+            "agent_name": "Soccer Train Thing Guy",
+            "goal_id": "goal_match_train_invoice",
+            "agent_description": "Something about soccer and trains and stuff",
+        }
+    )
+    return {
+        "agents": agents,
+    }
\ No newline at end of file
diff --git a/tools/goal_registry.py b/tools/goal_registry.py
index db7d1fc..5e85af5 100644
--- a/tools/goal_registry.py
+++ b/tools/goal_registry.py
@@ -6,6 +6,42 @@ from tools.tool_registry import (
     book_trains_tool,
     create_invoice_tool,
     find_events_tool,
+    change_goal_tool,
+    choose_agent_tool,
+    transfer_control_tool
+)
+
+starter_prompt_generic = "Welcome me, give me a description of what you can do, then ask me for the details you need to do your job"
+
+goal_choose_agent_type = AgentGoal(
+    tools=[
+        choose_agent_tool, 
+        change_goal_tool,
+        transfer_control_tool
+    ],
+    description="The user wants to choose which type of agent they will interact with. "
+        "Help the user gather args for these tools, in order: "
+        "1. ChooseAgent: Choose which agent to interact with "
+        "2. ChangeGoal: Change goal of agent "
+        "3. TransferControl: Transfer control to new agent "
+        "After these tools are complete, change your goal to the new goal as chosen by the user. ",
+    starter_prompt=starter_prompt_generic,
+    example_conversation_history="\n ".join(
+        [
+            "user: I'd like to choose an agent",
+            "agent: Sure! Would you like me to list the available agents?",
+            "user_confirmed_tool_run: <user clicks confirm on ChooseAgent tool>",
+            "tool_result: { 'agent_name': 'Event Flight Finder', 'goal_id': 'goal_event_flight_invoice', 'agent_description': 'Helps users find interesting events and arrange travel to them' }",
+            "agent: The available agents are: 1. Event Flight Finder. Which agent would you like to speak to?",
+            "user: 1",
+            "user_confirmed_tool_run: <user clicks confirm on ChangeGoal tool>",
+            # bot changes goal here and hopefully just...switches??
+            # could also end 1 workflow and start another with new goal
+            "tool_result: { 'new_goal': 'goal_event_flight_invoice' }",
+            "agent: Would you like to transfer control to the new agent now?",
+            "user: yes",
+        ]
+    ),
 )
 
 goal_match_train_invoice = AgentGoal(
@@ -23,7 +59,7 @@ goal_match_train_invoice = AgentGoal(
     "2. SearchTrains: Search for trains to the city of the match and list them for the customer to choose from "
     "3. BookTrains: Book the train tickets, used to invoice the user for the cost of the train tickets "
     "4. CreateInvoice: Invoices the user for the cost of train tickets, with total and details inferred from the conversation history ",
-    starter_prompt="Welcome me, give me a description of what you can do, then ask me for the details you need to begin your job as an agent ",
+    starter_prompt=starter_prompt_generic,
     example_conversation_history="\n ".join(
         [
             "user: I'd like to travel to a premier league match",
@@ -61,7 +97,7 @@ goal_event_flight_invoice = AgentGoal(
     "1. FindEvents: Find an event to travel to "
     "2. SearchFlights: search for a flight around the event dates "
     "3. CreateInvoice: Create a simple invoice for the cost of that flight ",
-    starter_prompt="Welcome me, give me a description of what you can do, then ask me for the details you need to do your job",
+    starter_prompt=starter_prompt_generic,
     example_conversation_history="\n ".join(
         [
             "user: I'd like to travel to an event",
diff --git a/tools/tool_registry.py b/tools/tool_registry.py
index 7fdc243..cd3ca91 100644
--- a/tools/tool_registry.py
+++ b/tools/tool_registry.py
@@ -1,5 +1,43 @@
 from models.tool_definitions import ToolDefinition, ToolArgument
 
+#This also doesn't help...
+transfer_control_tool = ToolDefinition(
+    name="TransferControl",
+    description="Do one extra input from user to apply the new goal to the workflow (Hacky, hopefully temp). ",
+    arguments=[        
+        ToolArgument(
+            name="userConfirmation",
+            type="string",
+            description="dummy variable to make thing work",
+        ),
+    ],
+)
+
+
+choose_agent_tool = ToolDefinition(
+    name="ChooseAgent",
+    description="List available agents to interact with, pulled from goal_registry. ",
+    arguments=[        
+        ToolArgument(
+            name="userConfirmation",
+            type="string",
+            description="dummy variable to make thing work",
+        ),
+    ],
+)
+
+change_goal_tool = ToolDefinition(
+    name="ChangeGoal",
+    description="Change the goal of the active agent. ",
+    arguments=[
+        ToolArgument(
+            name="goalID",
+            type="string",
+            description="Which goal to change to",
+        ),
+    ],
+)
+
 search_flights_tool = ToolDefinition(
     name="SearchFlights",
     description="Search for return flights from an origin to a destination within a date range (dateDepart, dateReturn).",
diff --git a/tools/transfer_control.py b/tools/transfer_control.py
new file mode 100644
index 0000000..127cc38
--- /dev/null
+++ b/tools/transfer_control.py
@@ -0,0 +1,7 @@
+import shared.config
+
+def transfer_control(args: dict) -> dict:
+
+    return {
+        "new_goal": shared.config.AGENT_GOAL,
+    }
\ No newline at end of file
diff --git a/workflows/agent_goal_workflow.py b/workflows/agent_goal_workflow.py
index 1085da4..0e47b8a 100644
--- a/workflows/agent_goal_workflow.py
+++ b/workflows/agent_goal_workflow.py
@@ -1,5 +1,6 @@
 from collections import deque
 from datetime import timedelta
+import importlib
 from typing import Dict, Any, Union, List, Optional, Deque, TypedDict
 
 from temporalio.common import RetryPolicy
@@ -10,6 +11,9 @@ from workflows.workflow_helpers import LLM_ACTIVITY_START_TO_CLOSE_TIMEOUT, \
     LLM_ACTIVITY_SCHEDULE_TO_CLOSE_TIMEOUT
 from workflows import workflow_helpers as helpers
 
+
+#importlib.reload(my_module)
+
 with workflow.unsafe.imports_passed_through():
     from activities.tool_activities import ToolActivities
     from prompts.agent_prompt_generators import (
@@ -19,6 +23,10 @@ with workflow.unsafe.imports_passed_through():
         CombinedInput,
         ToolPromptInput,
     )
+    import shared.config
+    importlib.reload(shared.config)
+    #from shared.config import AGENT_GOAL
+    from tools.goal_registry import goal_match_train_invoice, goal_event_flight_invoice, goal_choose_agent_type
 
 # Constants
 MAX_TURNS_BEFORE_CONTINUE = 250
@@ -46,11 +54,11 @@ class AgentGoalWorkflow:
     @workflow.run
     async def run(self, combined_input: CombinedInput) -> str:
         """Main workflow execution method."""
-        # setup phase
+        # setup phase, starts with blank tool_params and agent_goal prompt as defined in tools/goal_registry.py
         params = combined_input.tool_params
         agent_goal = combined_input.agent_goal
 
-        # set sample conversation to start
+        # add message from sample conversation provided in tools/goal_registry.py, if it exists
         if params and params.conversation_summary:
             self.add_message("conversation_summary", params.conversation_summary)
             self.conversation_summary = params.conversation_summary
@@ -63,12 +71,25 @@ class AgentGoalWorkflow:
 
         # interactive loop
         while True:
-            # wait for signals
+            # wait for signals - user_prompt, end_chat, or confirm as defined below
             await workflow.wait_condition(
                 lambda: bool(self.prompt_queue) or self.chat_ended or self.confirm
             )
 
+            #update the goal, in case it's changed - doesn't help
+            goals = {
+                "goal_match_train_invoice": goal_match_train_invoice,
+                "goal_event_flight_invoice": goal_event_flight_invoice,
+                "goal_choose_agent_type": goal_choose_agent_type,
+            }
+
+            if shared.config.AGENT_GOAL is not None:
+                agent_goal = goals.get(shared.config.AGENT_GOAL)
+            workflow.logger.warning("AGENT_GOAL: " + shared.config.AGENT_GOAL)
+           # workflow.logger.warning("agent_goal", agent_goal)
+
             #process signals of various kinds
+
             #chat-end signal
             if self.chat_ended:
                 workflow.logger.info("Chat ended.")
@@ -83,6 +104,7 @@ class AgentGoalWorkflow:
                 confirmed_tool_data["next"] = "user_confirmed_tool_run"
                 self.add_message("user_confirmed_tool_run", confirmed_tool_data)
 
+                # execute the tool by key as defined in tools/__init__.py
                 await helpers.handle_tool_execution(
                     current_tool,
                     self.tool_data,
@@ -113,6 +135,7 @@ class AgentGoalWorkflow:
                         ),
                     )
 
+                    #If validation fails, provide that feedback to the user - i.e., "your words make no sense, human"
                     if not validation_result.validationResult:
                         workflow.logger.warning(
                             f"Prompt validation failed: {validation_result.validationFailedReason}"
@@ -132,7 +155,7 @@ class AgentGoalWorkflow:
                     context_instructions=context_instructions,
                 )
 
-                # connect to LLM and get which tool to run
+                # connect to LLM and get...its feedback? which tool to run? ??
                 tool_data = await workflow.execute_activity(
                     ToolActivities.agent_toolPlanner,
                     prompt_input,
@@ -171,6 +194,7 @@ class AgentGoalWorkflow:
                     self.add_message
                 )
 
+    #Signal that comes from api/main.py via a post to /send-prompt
     @workflow.signal
     async def user_prompt(self, prompt: str) -> None:
         """Signal handler for receiving user prompts."""
@@ -179,12 +203,14 @@ class AgentGoalWorkflow:
             return
         self.prompt_queue.append(prompt)
 
+    #Signal that comes from api/main.py via a post to /confirm
     @workflow.signal
     async def confirm(self) -> None:
         """Signal handler for user confirmation of tool execution."""
         workflow.logger.info("Received user confirmation")
         self.confirm = True
 
+    #Signal that comes from api/main.py via a post to /end-chat
     @workflow.signal
     async def end_chat(self) -> None:
         """Signal handler for ending the chat session."""

From 8fafe4b09036a18155f5b73ae5fe1cba80b96f4f Mon Sep 17 00:00:00 2001
From: Laine <lainelminor@gmail.com>
Date: Tue, 11 Mar 2025 09:07:25 -0400
Subject: [PATCH 05/98] Change agent goal to be an element of the workflow,
 including query

---
 api/main.py                      | 36 +++++++++++++++++++++++++-------
 shared/config.py                 |  1 +
 tools/change_goal.py             |  9 +++++++-
 workflows/agent_goal_workflow.py | 35 ++++++++++++++++++++-----------
 4 files changed, 61 insertions(+), 20 deletions(-)

diff --git a/api/main.py b/api/main.py
index e5c42da..d82826d 100644
--- a/api/main.py
+++ b/api/main.py
@@ -20,7 +20,7 @@ temporal_client: Optional[Client] = None
 load_dotenv()
 
 
-def get_agent_goal():
+def get_initial_agent_goal():
     """Get the agent goal from environment variables."""
     goals = {
         "goal_match_train_invoice": goal_match_train_invoice,
@@ -121,6 +121,27 @@ async def get_conversation_history():
         raise HTTPException(
             status_code=500, detail="Internal server error while querying workflow."
         )
+    
+@app.get("/agent-goal")
+async def get_agent_goal():
+    """Calls the workflow's 'get_agent_goal' query."""
+    try:
+        # Get workflow handle
+        handle = temporal_client.get_workflow_handle("agent-workflow")
+
+        # Check if the workflow is completed
+        workflow_status = await handle.describe()
+        if workflow_status.status == 2:
+            # Workflow is completed; return an empty response
+            return {}
+
+        # Query the workflow
+        agent_goal = await handle.query("get_agent_goal")
+        return agent_goal
+    except TemporalError as e:
+        # Workflow not found; return an empty response
+        print(e)
+        return {}
 
 
 @app.post("/send-prompt")
@@ -128,7 +149,8 @@ async def send_prompt(prompt: str):
     # Create combined input with goal from environment
     combined_input = CombinedInput(
         tool_params=AgentGoalWorkflowParams(None, None),
-        agent_goal=get_agent_goal(),
+        agent_goal=get_initial_agent_goal(),
+        #change to get from workflow query
     )
 
     workflow_id = "agent-workflow"
@@ -172,13 +194,13 @@ async def end_chat():
 
 @app.post("/start-workflow")
 async def start_workflow():
-    # Get the configured goal
-    agent_goal = get_agent_goal()
+    # Get the initial goal as set in shared/config or env or just...always should be "pick a goal?"
+    initial_agent_goal = get_initial_agent_goal()
 
     # Create combined input
     combined_input = CombinedInput(
         tool_params=AgentGoalWorkflowParams(None, None),
-        agent_goal=agent_goal,
+        agent_goal=initial_agent_goal,
     )
 
     workflow_id = "agent-workflow"
@@ -190,9 +212,9 @@ async def start_workflow():
         id=workflow_id,
         task_queue=TEMPORAL_TASK_QUEUE,
         start_signal="user_prompt",
-        start_signal_args=["### " + agent_goal.starter_prompt],
+        start_signal_args=["### " + initial_agent_goal.starter_prompt],
     )
 
     return {
-        "message": f"Workflow started with goal's starter prompt: {agent_goal.starter_prompt}."
+        "message": f"Workflow started with goal's starter prompt: {initial_agent_goal.starter_prompt}."
     }
diff --git a/shared/config.py b/shared/config.py
index 0775a39..cb4b9da 100644
--- a/shared/config.py
+++ b/shared/config.py
@@ -18,6 +18,7 @@ TEMPORAL_API_KEY = os.getenv("TEMPORAL_API_KEY", "")
 
 #Starting agent goal - 1st goal is always to help user pick a next goal
 AGENT_GOAL = "goal_choose_agent_type"
+#AGENT_GOAL = "goal_event_flight_invoice"
 
 
 async def get_temporal_client() -> Client:
diff --git a/tools/change_goal.py b/tools/change_goal.py
index 2458796..983e9c7 100644
--- a/tools/change_goal.py
+++ b/tools/change_goal.py
@@ -1,6 +1,13 @@
-# can this just call the API endpoint to set the goal, if that changes to allow a param?
+# can this just call the API endpoint to set the goal, if that changes to allow a param? 
+#   if this functions, it could work to both send a signal and also circumvent the UI -> API thing. Maybe?
+
 # --- OR ---
+
 # end this workflow and start a new one with the new goal
+
+# --- OR ---
+
+# send a signal to the workflow from here?
 import shared.config
 
 def change_goal(args: dict) -> dict:
diff --git a/workflows/agent_goal_workflow.py b/workflows/agent_goal_workflow.py
index 0e47b8a..61479a3 100644
--- a/workflows/agent_goal_workflow.py
+++ b/workflows/agent_goal_workflow.py
@@ -7,6 +7,7 @@ from temporalio.common import RetryPolicy
 from temporalio import workflow
 
 from models.data_types import ConversationHistory, NextStep, ValidationInput
+from models.tool_definitions import AgentGoal
 from workflows.workflow_helpers import LLM_ACTIVITY_START_TO_CLOSE_TIMEOUT, \
     LLM_ACTIVITY_SCHEDULE_TO_CLOSE_TIMEOUT
 from workflows import workflow_helpers as helpers
@@ -49,6 +50,8 @@ class AgentGoalWorkflow:
         self.tool_data: Optional[ToolData] = None
         self.confirm: bool = False
         self.tool_results: List[Dict[str, Any]] = []
+        #set initial goal of "pick an agent" here??
+        self.goal: AgentGoal = {"tools": []}
 
     # see ../api/main.py#temporal_client.start_workflow() for how these parameters are set
     @workflow.run
@@ -56,7 +59,7 @@ class AgentGoalWorkflow:
         """Main workflow execution method."""
         # setup phase, starts with blank tool_params and agent_goal prompt as defined in tools/goal_registry.py
         params = combined_input.tool_params
-        agent_goal = combined_input.agent_goal
+        self.goal = combined_input.agent_goal
 
         # add message from sample conversation provided in tools/goal_registry.py, if it exists
         if params and params.conversation_summary:
@@ -77,15 +80,15 @@ class AgentGoalWorkflow:
             )
 
             #update the goal, in case it's changed - doesn't help
-            goals = {
-                "goal_match_train_invoice": goal_match_train_invoice,
-                "goal_event_flight_invoice": goal_event_flight_invoice,
-                "goal_choose_agent_type": goal_choose_agent_type,
-            }
+            #goals = {
+             #   "goal_match_train_invoice": goal_match_train_invoice,
+              #  "goal_event_flight_invoice": goal_event_flight_invoice,
+               # "goal_choose_agent_type": goal_choose_agent_type,
+            #}
 
-            if shared.config.AGENT_GOAL is not None:
-                agent_goal = goals.get(shared.config.AGENT_GOAL)
-            workflow.logger.warning("AGENT_GOAL: " + shared.config.AGENT_GOAL)
+            #if shared.config.AGENT_GOAL is not None:
+             #   agent_goal = goals.get(shared.config.AGENT_GOAL)
+            #workflow.logger.warning("AGENT_GOAL: " + shared.config.AGENT_GOAL)
            # workflow.logger.warning("agent_goal", agent_goal)
 
             #process signals of various kinds
@@ -112,6 +115,9 @@ class AgentGoalWorkflow:
                     self.add_message,
                     self.prompt_queue
                 )
+               # workflow.logger.warning("last tool_data tool: ", self.tool_data[-1].tool)
+                #workflow.logger.warning("last tool_data args: ", self.tool_data[-1].args)
+               # workflow.logger.warning("last tool_results [args]: ", self.tool_results[-1]["args"])
                 continue
 
             if self.prompt_queue:
@@ -123,7 +129,7 @@ class AgentGoalWorkflow:
                     validation_input = ValidationInput(
                         prompt=prompt,
                         conversation_history=self.conversation_history,
-                        agent_goal=agent_goal,
+                        agent_goal=self.goal,
                     )
                     validation_result = await workflow.execute_activity(
                         ToolActivities.agent_validatePrompt,
@@ -147,7 +153,7 @@ class AgentGoalWorkflow:
 
                 # Proceed with generating the context and prompt
                 context_instructions = generate_genai_prompt(
-                    agent_goal, self.conversation_history, self.tool_data
+                    self.goal, self.conversation_history, self.tool_data
                 )
 
                 prompt_input = ToolPromptInput(
@@ -189,7 +195,7 @@ class AgentGoalWorkflow:
                 await helpers.continue_as_new_if_needed(
                     self.conversation_history,
                     self.prompt_queue,
-                    agent_goal,
+                    self.goal,
                     MAX_TURNS_BEFORE_CONTINUE,
                     self.add_message
                 )
@@ -220,6 +226,11 @@ class AgentGoalWorkflow:
     def get_conversation_history(self) -> ConversationHistory:
         """Query handler to retrieve the full conversation history."""
         return self.conversation_history
+    
+    @workflow.query
+    def get_agent_goal(self) -> AgentGoal:
+        """Query handler to retrieve the current goal of the agent."""
+        return self.goal
 
     @workflow.query
     def get_summary_from_history(self) -> Optional[str]:

From 6939e3f94223b8f365db704cfa4414438b876f7b Mon Sep 17 00:00:00 2001
From: Joshua Smith <joshmsmith@gmail.com>
Date: Tue, 11 Mar 2025 10:03:45 -0400
Subject: [PATCH 06/98] log less chatgpt stuff and actually change the goal

---
 activities/tool_activities.py    |  3 ++-
 workflows/agent_goal_workflow.py | 21 ++++++++++++++++++---
 2 files changed, 20 insertions(+), 4 deletions(-)

diff --git a/activities/tool_activities.py b/activities/tool_activities.py
index e833b44..75e14e0 100644
--- a/activities/tool_activities.py
+++ b/activities/tool_activities.py
@@ -237,7 +237,7 @@ class ToolActivities:
         )
 
         response_content = chat_completion.choices[0].message.content
-        print(f"ChatGPT response: {response_content}")
+        activity.logger.info(f"ChatGPT response: {response_content}")
 
         # Use the new sanitize function
         response_content = self.sanitize_json_response(response_content)
@@ -449,6 +449,7 @@ def dynamic_tool_activity(args: Sequence[RawValue]) -> dict:
     # Delegate to the relevant function
     handler = get_handler(tool_name)
     result = handler(tool_args)
+    print(f"in dynamic tool activity, result: {result}")
 
     # Optionally log or augment the result
     activity.logger.info(f"Tool '{tool_name}' result: {result}")
diff --git a/workflows/agent_goal_workflow.py b/workflows/agent_goal_workflow.py
index 61479a3..f66551a 100644
--- a/workflows/agent_goal_workflow.py
+++ b/workflows/agent_goal_workflow.py
@@ -115,9 +115,24 @@ class AgentGoalWorkflow:
                     self.add_message,
                     self.prompt_queue
                 )
-               # workflow.logger.warning("last tool_data tool: ", self.tool_data[-1].tool)
-                #workflow.logger.warning("last tool_data args: ", self.tool_data[-1].args)
-               # workflow.logger.warning("last tool_results [args]: ", self.tool_results[-1]["args"])
+                if len(self.tool_results) > 0:
+                    #workflow.logger.warning("last tool_results keys: ", self.tool_results[-1].keys())
+                    workflow.logger.warning(f"last tool_results keys: {self.tool_results[-1].keys()}")
+                    workflow.logger.warning(f"last tool_results values:{ self.tool_results[-1].values()}")
+                    if "new_goal" in self.tool_results[-1].keys() and "ChangeGoal" in self.tool_results[-1].values():
+                        new_goal = self.tool_results[-1].get("new_goal")
+                        workflow.logger.warning(f"Booya new goal!: {new_goal}")
+                        goals = {
+                            "goal_match_train_invoice": goal_match_train_invoice,
+                            "goal_event_flight_invoice": goal_event_flight_invoice,
+                            "goal_choose_agent_type": goal_choose_agent_type,
+                        }
+
+                        if new_goal is not None:
+                            self.goal = goals.get(new_goal)
+                        #todo reset goal or tools if this doesn't work or whatever
+                else:
+                    workflow.logger.warning("no tool results yet")
                 continue
 
             if self.prompt_queue:

From 64ffe7f635324fdda0768eb13505a1f665561588 Mon Sep 17 00:00:00 2001
From: Joshua Smith <joshmsmith@gmail.com>
Date: Tue, 11 Mar 2025 10:32:28 -0400
Subject: [PATCH 07/98] clean up logging and comments

---
 workflows/agent_goal_workflow.py | 43 +++++++++++---------------------
 1 file changed, 14 insertions(+), 29 deletions(-)

diff --git a/workflows/agent_goal_workflow.py b/workflows/agent_goal_workflow.py
index f66551a..40890dc 100644
--- a/workflows/agent_goal_workflow.py
+++ b/workflows/agent_goal_workflow.py
@@ -79,18 +79,6 @@ class AgentGoalWorkflow:
                 lambda: bool(self.prompt_queue) or self.chat_ended or self.confirm
             )
 
-            #update the goal, in case it's changed - doesn't help
-            #goals = {
-             #   "goal_match_train_invoice": goal_match_train_invoice,
-              #  "goal_event_flight_invoice": goal_event_flight_invoice,
-               # "goal_choose_agent_type": goal_choose_agent_type,
-            #}
-
-            #if shared.config.AGENT_GOAL is not None:
-             #   agent_goal = goals.get(shared.config.AGENT_GOAL)
-            #workflow.logger.warning("AGENT_GOAL: " + shared.config.AGENT_GOAL)
-           # workflow.logger.warning("agent_goal", agent_goal)
-
             #process signals of various kinds
 
             #chat-end signal
@@ -115,24 +103,21 @@ class AgentGoalWorkflow:
                     self.add_message,
                     self.prompt_queue
                 )
-                if len(self.tool_results) > 0:
-                    #workflow.logger.warning("last tool_results keys: ", self.tool_results[-1].keys())
-                    workflow.logger.warning(f"last tool_results keys: {self.tool_results[-1].keys()}")
-                    workflow.logger.warning(f"last tool_results values:{ self.tool_results[-1].values()}")
-                    if "new_goal" in self.tool_results[-1].keys() and "ChangeGoal" in self.tool_results[-1].values():
-                        new_goal = self.tool_results[-1].get("new_goal")
-                        workflow.logger.warning(f"Booya new goal!: {new_goal}")
-                        goals = {
-                            "goal_match_train_invoice": goal_match_train_invoice,
-                            "goal_event_flight_invoice": goal_event_flight_invoice,
-                            "goal_choose_agent_type": goal_choose_agent_type,
-                        }
 
-                        if new_goal is not None:
-                            self.goal = goals.get(new_goal)
-                        #todo reset goal or tools if this doesn't work or whatever
-                else:
-                    workflow.logger.warning("no tool results yet")
+                #set new goal if we should
+                if len(self.tool_results) > 0 and "new_goal" in self.tool_results[-1].keys() and "ChangeGoal" in self.tool_results[-1].values():
+                    
+                    new_goal = self.tool_results[-1].get("new_goal")
+                    workflow.logger.info(f"Booya new goal!: {new_goal}")
+                    goals = {
+                        "goal_match_train_invoice": goal_match_train_invoice,
+                        "goal_event_flight_invoice": goal_event_flight_invoice,
+                        "goal_choose_agent_type": goal_choose_agent_type,
+                    }
+
+                    if new_goal is not None:
+                        self.goal = goals.get(new_goal)
+                    #todo reset goal or tools if this doesn't work or whatever
                 continue
 
             if self.prompt_queue:

From 804568e3669622e788b33b7fea23c53381d2892d Mon Sep 17 00:00:00 2001
From: Laine <lainelminor@gmail.com>
Date: Tue, 11 Mar 2025 10:41:22 -0400
Subject: [PATCH 08/98] Rename ChooseAgent tool to ListAgents

---
 tools/__init__.py                         |  6 +++---
 tools/change_goal.py                      |  3 +--
 tools/goal_registry.py                    | 17 +++++------------
 tools/{choose_agent.py => list_agents.py} |  2 +-
 tools/tool_registry.py                    | 18 ++----------------
 5 files changed, 12 insertions(+), 34 deletions(-)
 rename tools/{choose_agent.py => list_agents.py} (95%)

diff --git a/tools/__init__.py b/tools/__init__.py
index f71f072..1ca7da2 100644
--- a/tools/__init__.py
+++ b/tools/__init__.py
@@ -4,7 +4,7 @@ from .search_trains import search_trains
 from .search_trains import book_trains
 from .create_invoice import create_invoice
 from .find_events import find_events
-from .choose_agent import choose_agent
+from .list_agents import list_agents
 from .change_goal import change_goal
 from .transfer_control import transfer_control
 
@@ -22,8 +22,8 @@ def get_handler(tool_name: str):
         return create_invoice
     if tool_name == "FindEvents":
         return find_events
-    if tool_name == "ChooseAgent":
-        return choose_agent
+    if tool_name == "ListAgents":
+        return list_agents
     if tool_name == "ChangeGoal":
         return change_goal
     if tool_name == "TransferControl":
diff --git a/tools/change_goal.py b/tools/change_goal.py
index 983e9c7..7588ae2 100644
--- a/tools/change_goal.py
+++ b/tools/change_goal.py
@@ -13,8 +13,7 @@ import shared.config
 def change_goal(args: dict) -> dict:
 
     new_goal = args.get("goalID")
-    shared.config.AGENT_GOAL = new_goal
 
     return {
-        "new_goal": shared.config.AGENT_GOAL,
+        "new_goal": new_goal,
     }
\ No newline at end of file
diff --git a/tools/goal_registry.py b/tools/goal_registry.py
index 5e85af5..01d1ea9 100644
--- a/tools/goal_registry.py
+++ b/tools/goal_registry.py
@@ -7,39 +7,32 @@ from tools.tool_registry import (
     create_invoice_tool,
     find_events_tool,
     change_goal_tool,
-    choose_agent_tool,
-    transfer_control_tool
+    list_agents_tool
 )
 
 starter_prompt_generic = "Welcome me, give me a description of what you can do, then ask me for the details you need to do your job"
 
 goal_choose_agent_type = AgentGoal(
     tools=[
-        choose_agent_tool, 
-        change_goal_tool,
-        transfer_control_tool
+        list_agents_tool, 
+        change_goal_tool
     ],
     description="The user wants to choose which type of agent they will interact with. "
         "Help the user gather args for these tools, in order: "
-        "1. ChooseAgent: Choose which agent to interact with "
+        "1. ListAgents: List agents available to interact with "
         "2. ChangeGoal: Change goal of agent "
-        "3. TransferControl: Transfer control to new agent "
         "After these tools are complete, change your goal to the new goal as chosen by the user. ",
     starter_prompt=starter_prompt_generic,
     example_conversation_history="\n ".join(
         [
             "user: I'd like to choose an agent",
             "agent: Sure! Would you like me to list the available agents?",
-            "user_confirmed_tool_run: <user clicks confirm on ChooseAgent tool>",
+            "user_confirmed_tool_run: <user clicks confirm on ListAgents tool>",
             "tool_result: { 'agent_name': 'Event Flight Finder', 'goal_id': 'goal_event_flight_invoice', 'agent_description': 'Helps users find interesting events and arrange travel to them' }",
             "agent: The available agents are: 1. Event Flight Finder. Which agent would you like to speak to?",
             "user: 1",
             "user_confirmed_tool_run: <user clicks confirm on ChangeGoal tool>",
-            # bot changes goal here and hopefully just...switches??
-            # could also end 1 workflow and start another with new goal
             "tool_result: { 'new_goal': 'goal_event_flight_invoice' }",
-            "agent: Would you like to transfer control to the new agent now?",
-            "user: yes",
         ]
     ),
 )
diff --git a/tools/choose_agent.py b/tools/list_agents.py
similarity index 95%
rename from tools/choose_agent.py
rename to tools/list_agents.py
index d081f20..62f3010 100644
--- a/tools/choose_agent.py
+++ b/tools/list_agents.py
@@ -1,7 +1,7 @@
 from pathlib import Path
 import json
 
-def choose_agent(args: dict) -> dict:
+def list_agents(args: dict) -> dict:
 
    # file_path = Path(__file__).resolve().parent / "goal_regsitry.py"
     #if not file_path.exists():
diff --git a/tools/tool_registry.py b/tools/tool_registry.py
index cd3ca91..7a08b3b 100644
--- a/tools/tool_registry.py
+++ b/tools/tool_registry.py
@@ -1,21 +1,7 @@
 from models.tool_definitions import ToolDefinition, ToolArgument
 
-#This also doesn't help...
-transfer_control_tool = ToolDefinition(
-    name="TransferControl",
-    description="Do one extra input from user to apply the new goal to the workflow (Hacky, hopefully temp). ",
-    arguments=[        
-        ToolArgument(
-            name="userConfirmation",
-            type="string",
-            description="dummy variable to make thing work",
-        ),
-    ],
-)
-
-
-choose_agent_tool = ToolDefinition(
-    name="ChooseAgent",
+list_agents_tool = ToolDefinition(
+    name="ListAgents",
     description="List available agents to interact with, pulled from goal_registry. ",
     arguments=[        
         ToolArgument(

From f13ed70bfe2fdaf66336430f42f23ee4aa0bae3b Mon Sep 17 00:00:00 2001
From: Laine <lainelminor@gmail.com>
Date: Tue, 11 Mar 2025 12:02:26 -0400
Subject: [PATCH 09/98] Change instructions to AI to handle switching back to
 ListAgents when done with tool chain

---
 api/main.py                        |  1 -
 prompts/agent_prompt_generators.py |  7 ++-----
 workflows/agent_goal_workflow.py   | 32 +++++++++++++-----------------
 3 files changed, 16 insertions(+), 24 deletions(-)

diff --git a/api/main.py b/api/main.py
index d82826d..1760458 100644
--- a/api/main.py
+++ b/api/main.py
@@ -194,7 +194,6 @@ async def end_chat():
 
 @app.post("/start-workflow")
 async def start_workflow():
-    # Get the initial goal as set in shared/config or env or just...always should be "pick a goal?"
     initial_agent_goal = get_initial_agent_goal()
 
     # Create combined input
diff --git a/prompts/agent_prompt_generators.py b/prompts/agent_prompt_generators.py
index 205205a..d5e301f 100644
--- a/prompts/agent_prompt_generators.py
+++ b/prompts/agent_prompt_generators.py
@@ -81,9 +81,8 @@ def generate_genai_prompt(
         "1) If any required argument is missing, set next='question' and ask the user.\n"
         "2) If all required arguments are known, set next='confirm' and specify the tool.\n"
         "   The user will confirm before the tool is run.\n"
-        "3) If no more tools are needed (user_confirmed_tool_run has been run for all), set next='done' and tool=null.\n"
+        "3) If no more tools are needed (user_confirmed_tool_run has been run for all), set next='confirm' and tool='ListAgents'.\n"
         "4) response should be short and user-friendly.\n"
-        "5) Don't set next='done' until the final tool has returned user_confirmed_tool_run.\n"
     )
 
     # Validation Task (If raw_json is provided)
@@ -126,9 +125,7 @@ def generate_tool_completion_prompt(current_tool: str, dynamic_result: dict) ->
         "You will need to use the tool_results to auto-fill arguments for subsequent tools and also to figure out if all tools have been run."
         '{"next": "<question|confirm|done>", "tool": "<tool_name or null>", "args": {"<arg1>": "<value1 or null>", "<arg2>": "<value2 or null>}, "response": "<plain text (can include \\n line breaks)>"}'
         "ONLY return those json keys (next, tool, args, response), nothing else."
-        'Next should only be "done" if all tools have been run (use the system prompt to figure that out).'
-        'Next should be "question" if the tool is not the last one in the sequence.'
-        'Next should NOT be "confirm" at this point.'
+        'Next should be "question".'
     )
 
 def generate_missing_args_prompt(current_tool: str, tool_data: dict, missing_args: list[str]) -> str:
diff --git a/workflows/agent_goal_workflow.py b/workflows/agent_goal_workflow.py
index 40890dc..c6c05ae 100644
--- a/workflows/agent_goal_workflow.py
+++ b/workflows/agent_goal_workflow.py
@@ -12,9 +12,6 @@ from workflows.workflow_helpers import LLM_ACTIVITY_START_TO_CLOSE_TIMEOUT, \
     LLM_ACTIVITY_SCHEDULE_TO_CLOSE_TIMEOUT
 from workflows import workflow_helpers as helpers
 
-
-#importlib.reload(my_module)
-
 with workflow.unsafe.imports_passed_through():
     from activities.tool_activities import ToolActivities
     from prompts.agent_prompt_generators import (
@@ -24,9 +21,6 @@ with workflow.unsafe.imports_passed_through():
         CombinedInput,
         ToolPromptInput,
     )
-    import shared.config
-    importlib.reload(shared.config)
-    #from shared.config import AGENT_GOAL
     from tools.goal_registry import goal_match_train_invoice, goal_event_flight_invoice, goal_choose_agent_type
 
 # Constants
@@ -50,7 +44,6 @@ class AgentGoalWorkflow:
         self.tool_data: Optional[ToolData] = None
         self.confirm: bool = False
         self.tool_results: List[Dict[str, Any]] = []
-        #set initial goal of "pick an agent" here??
         self.goal: AgentGoal = {"tools": []}
 
     # see ../api/main.py#temporal_client.start_workflow() for how these parameters are set
@@ -108,16 +101,8 @@ class AgentGoalWorkflow:
                 if len(self.tool_results) > 0 and "new_goal" in self.tool_results[-1].keys() and "ChangeGoal" in self.tool_results[-1].values():
                     
                     new_goal = self.tool_results[-1].get("new_goal")
-                    workflow.logger.info(f"Booya new goal!: {new_goal}")
-                    goals = {
-                        "goal_match_train_invoice": goal_match_train_invoice,
-                        "goal_event_flight_invoice": goal_event_flight_invoice,
-                        "goal_choose_agent_type": goal_choose_agent_type,
-                    }
-
-                    if new_goal is not None:
-                        self.goal = goals.get(new_goal)
-                    #todo reset goal or tools if this doesn't work or whatever
+                    workflow.logger.warning(f"Booya new goal!: {new_goal}")
+                    self.change_goal(new_goal)
                 continue
 
             if self.prompt_queue:
@@ -161,7 +146,6 @@ class AgentGoalWorkflow:
                     context_instructions=context_instructions,
                 )
 
-                # connect to LLM and get...its feedback? which tool to run? ??
                 tool_data = await workflow.execute_activity(
                     ToolActivities.agent_toolPlanner,
                     prompt_input,
@@ -259,3 +243,15 @@ class AgentGoalWorkflow:
         self.conversation_history["messages"].append(
             {"actor": actor, "response": response}
         )
+
+    def change_goal(self, goal: str) -> None:
+        goals = {
+            "goal_match_train_invoice": goal_match_train_invoice,
+            "goal_event_flight_invoice": goal_event_flight_invoice,
+            "goal_choose_agent_type": goal_choose_agent_type,
+        }
+
+        if goal is not None:
+            self.goal = goals.get(goal)
+            workflow.logger.warning("Changed goal to " + goal)
+        #todo reset goal or tools if this doesn't work or whatever

From b2e4999562e787590fb69750046d5cd73e6bd692 Mon Sep 17 00:00:00 2001
From: Joshua Smith <joshmsmith@gmail.com>
Date: Tue, 11 Mar 2025 13:02:08 -0400
Subject: [PATCH 10/98] adding and clarifying comments

---
 workflows/agent_goal_workflow.py | 23 ++++++++++++++---------
 1 file changed, 14 insertions(+), 9 deletions(-)

diff --git a/workflows/agent_goal_workflow.py b/workflows/agent_goal_workflow.py
index 40890dc..193e6c9 100644
--- a/workflows/agent_goal_workflow.py
+++ b/workflows/agent_goal_workflow.py
@@ -53,7 +53,7 @@ class AgentGoalWorkflow:
         #set initial goal of "pick an agent" here??
         self.goal: AgentGoal = {"tools": []}
 
-    # see ../api/main.py#temporal_client.start_workflow() for how these parameters are set
+    # see ../api/main.py#temporal_client.start_workflow() for how the input parameters are set
     @workflow.run
     async def run(self, combined_input: CombinedInput) -> str:
         """Main workflow execution method."""
@@ -69,24 +69,27 @@ class AgentGoalWorkflow:
         if params and params.prompt_queue:
             self.prompt_queue.extend(params.prompt_queue)
 
-        waiting_for_confirm = False # controls if we confirm with the user
+        waiting_for_confirm = False 
         current_tool = None
 
-        # interactive loop
+        # This is the main interactive loop. Main responsibilities:
+        #   - Selecting and changing goals as directed by the user
+        #   - reacting to user input (from signals) 
+        #   - calling activities to determine next steps and prompts
+        #   - executing the selected tools 
         while True:
-            # wait for signals - user_prompt, end_chat, or confirm as defined below
+            # wait indefinitely for input from signals - user_prompt, end_chat, or confirm as defined below
             await workflow.wait_condition(
                 lambda: bool(self.prompt_queue) or self.chat_ended or self.confirm
             )
 
-            #process signals of various kinds
-
-            #chat-end signal
+            # handle chat-end signal
             if self.chat_ended:
                 workflow.logger.info("Chat ended.")
+                
                 return f"{self.conversation_history}"
 
-            # tool execution if selected and confirmed
+            # execute tool 
             if self.confirm and waiting_for_confirm and current_tool and self.tool_data:
                 self.confirm = False
                 waiting_for_confirm = False
@@ -120,6 +123,7 @@ class AgentGoalWorkflow:
                     #todo reset goal or tools if this doesn't work or whatever
                 continue
 
+            # push messages to UI if there are any
             if self.prompt_queue:
                 prompt = self.prompt_queue.popleft()
                 if not prompt.startswith("###"):
@@ -161,7 +165,7 @@ class AgentGoalWorkflow:
                     context_instructions=context_instructions,
                 )
 
-                # connect to LLM and get...its feedback? which tool to run? ??
+                # connect to LLM and get it to create a prompt for the user about the tool
                 tool_data = await workflow.execute_activity(
                     ToolActivities.agent_toolPlanner,
                     prompt_input,
@@ -186,6 +190,7 @@ class AgentGoalWorkflow:
                     self.confirm = False
                     workflow.logger.info("Waiting for user confirm signal...")
 
+                # todo probably here we can set the next step to be change-goal 
                 elif next_step == "done":
                     workflow.logger.info("All steps completed. Exiting workflow.")
                     self.add_message("agent", tool_data)

From ae334a2caec2c244957022db1d56e8aee54d7e11 Mon Sep 17 00:00:00 2001
From: Joshua Smith <joshmsmith@gmail.com>
Date: Tue, 11 Mar 2025 14:01:23 -0400
Subject: [PATCH 11/98] adding grok to .env.example and updating todo

---
 .env.example               |   3 +
 frontend/package-lock.json | 201 ++++++++++++++++---------------------
 todo.md                    |   4 +-
 3 files changed, 95 insertions(+), 113 deletions(-)

diff --git a/.env.example b/.env.example
index 9bf05b9..a1a1944 100644
--- a/.env.example
+++ b/.env.example
@@ -7,6 +7,9 @@ STRIPE_API_KEY=sk_test_51J...
 LLM_PROVIDER=openai # default
 OPENAI_API_KEY=sk-proj-...
 # or
+#LLM_PROVIDER=grok
+#GROK_API_KEY=xai-your-grok-api-key
+# or
 # LLM_PROVIDER=ollama
 # OLLAMA_MODEL_NAME=qwen2.5:14b
 # or
diff --git a/frontend/package-lock.json b/frontend/package-lock.json
index 56a695a..5bc88a3 100644
--- a/frontend/package-lock.json
+++ b/frontend/package-lock.json
@@ -825,247 +825,228 @@
       }
     },
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+      "version": "4.34.7",
+      "resolved": "https://registry.npmjs.org/@rollup/rollup-android-arm-eabi/-/rollup-android-arm-eabi-4.34.7.tgz",
+      "integrity": "sha512-l6CtzHYo8D2TQ3J7qJNpp3Q1Iye56ssIAtqbM2H8axxCEEwvN7o8Ze9PuIapbxFL3OHrJU2JBX6FIIVnP/rYyw==",
       "cpu": [
         "arm"
       ],
-      "license": "MIT",
       "optional": true,
       "os": [
         "android"
       ]
     },
     "node_modules/@rollup/rollup-android-arm64": {
-      "version": "4.29.1",
-      "resolved": "https://registry.npmjs.org/@rollup/rollup-android-arm64/-/rollup-android-arm64-4.29.1.tgz",
-      "integrity": "sha512-CaRfrV0cd+NIIcVVN/jx+hVLN+VRqnuzLRmfmlzpOzB87ajixsN/+9L5xNmkaUUvEbI5BmIKS+XTwXsHEb65Ew==",
+      "version": "4.34.7",
+      "resolved": "https://registry.npmjs.org/@rollup/rollup-android-arm64/-/rollup-android-arm64-4.34.7.tgz",
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       "cpu": [
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-      "license": "MIT",
       "optional": true,
       "os": [
         "android"
       ]
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+      "resolved": "https://registry.npmjs.org/@rollup/rollup-linux-x64-musl/-/rollup-linux-x64-musl-4.34.7.tgz",
+      "integrity": "sha512-7wJPXRWTTPtTFDFezA8sle/1sdgxDjuMoRXEKtx97ViRxGGkVQYovem+Q8Pr/2HxiHp74SSRG+o6R0Yq0shPwQ==",
       "cpu": [
         "x64"
       ],
-      "license": "MIT",
       "optional": true,
       "os": [
         "linux"
       ]
     },
     "node_modules/@rollup/rollup-win32-arm64-msvc": {
-      "version": "4.29.1",
-      "resolved": "https://registry.npmjs.org/@rollup/rollup-win32-arm64-msvc/-/rollup-win32-arm64-msvc-4.29.1.tgz",
-      "integrity": "sha512-F2OiJ42m77lSkizZQLuC+jiZ2cgueWQL5YC9tjo3AgaEw+KJmVxHGSyQfDUoYR9cci0lAywv2Clmckzulcq6ig==",
+      "version": "4.34.7",
+      "resolved": "https://registry.npmjs.org/@rollup/rollup-win32-arm64-msvc/-/rollup-win32-arm64-msvc-4.34.7.tgz",
+      "integrity": "sha512-MN7aaBC7mAjsiMEZcsJvwNsQVNZShgES/9SzWp1HC9Yjqb5OpexYnRjF7RmE4itbeesHMYYQiAtUAQaSKs2Rfw==",
       "cpu": [
         "arm64"
       ],
-      "license": "MIT",
       "optional": true,
       "os": [
         "win32"
       ]
     },
     "node_modules/@rollup/rollup-win32-ia32-msvc": {
-      "version": "4.29.1",
-      "resolved": "https://registry.npmjs.org/@rollup/rollup-win32-ia32-msvc/-/rollup-win32-ia32-msvc-4.29.1.tgz",
-      "integrity": "sha512-rYRe5S0FcjlOBZQHgbTKNrqxCBUmgDJem/VQTCcTnA2KCabYSWQDrytOzX7avb79cAAweNmMUb/Zw18RNd4mng==",
+      "version": "4.34.7",
+      "resolved": "https://registry.npmjs.org/@rollup/rollup-win32-ia32-msvc/-/rollup-win32-ia32-msvc-4.34.7.tgz",
+      "integrity": "sha512-aeawEKYswsFu1LhDM9RIgToobquzdtSc4jSVqHV8uApz4FVvhFl/mKh92wc8WpFc6aYCothV/03UjY6y7yLgbg==",
       "cpu": [
         "ia32"
       ],
-      "license": "MIT",
       "optional": true,
       "os": [
         "win32"
       ]
     },
     "node_modules/@rollup/rollup-win32-x64-msvc": {
-      "version": "4.29.1",
-      "resolved": "https://registry.npmjs.org/@rollup/rollup-win32-x64-msvc/-/rollup-win32-x64-msvc-4.29.1.tgz",
-      "integrity": "sha512-+10CMg9vt1MoHj6x1pxyjPSMjHTIlqs8/tBztXvPAx24SKs9jwVnKqHJumlH/IzhaPUaj3T6T6wfZr8okdXaIg==",
+      "version": "4.34.7",
+      "resolved": "https://registry.npmjs.org/@rollup/rollup-win32-x64-msvc/-/rollup-win32-x64-msvc-4.34.7.tgz",
+      "integrity": "sha512-4ZedScpxxIrVO7otcZ8kCX1mZArtH2Wfj3uFCxRJ9NO80gg1XV0U/b2f/MKaGwj2X3QopHfoWiDQ917FRpwY3w==",
       "cpu": [
         "x64"
       ],
-      "license": "MIT",
       "optional": true,
       "os": [
         "win32"
@@ -1115,8 +1096,7 @@
     "node_modules/@types/estree": {
       "version": "1.0.6",
       "resolved": "https://registry.npmjs.org/@types/estree/-/estree-1.0.6.tgz",
-      "integrity": "sha512-AYnb1nQyY49te+VRAVgmzfcgjYS91mY5P0TKUDCLEM+gNnA+3T6rWITXRLYCpahpqSQbN5cE+gHpnPyXjHWxcw==",
-      "license": "MIT"
+      "integrity": "sha512-AYnb1nQyY49te+VRAVgmzfcgjYS91mY5P0TKUDCLEM+gNnA+3T6rWITXRLYCpahpqSQbN5cE+gHpnPyXjHWxcw=="
     },
     "node_modules/@vitejs/plugin-react": {
       "version": "4.3.4",
@@ -2084,9 +2064,9 @@
       }
     },
     "node_modules/postcss": {
-      "version": "8.4.49",
-      "resolved": "https://registry.npmjs.org/postcss/-/postcss-8.4.49.tgz",
-      "integrity": "sha512-OCVPnIObs4N29kxTjzLfUryOkvZEq+pf8jTF0lg8E7uETuWHA+v7j3c/xJmiqpX450191LlmZfUKkXxkTry7nA==",
+      "version": "8.5.2",
+      "resolved": "https://registry.npmjs.org/postcss/-/postcss-8.5.2.tgz",
+      "integrity": "sha512-MjOadfU3Ys9KYoX0AdkBlFEF1Vx37uCCeN4ZHnmwm9FfpbsGWMZeBLMmmpY+6Ocqod7mkdZ0DT31OlbsFrLlkA==",
       "funding": [
         {
           "type": "opencollective",
@@ -2101,9 +2081,8 @@
           "url": "https://github.com/sponsors/ai"
         }
       ],
-      "license": "MIT",
       "dependencies": {
-        "nanoid": "^3.3.7",
+        "nanoid": "^3.3.8",
         "picocolors": "^1.1.1",
         "source-map-js": "^1.2.1"
       },
@@ -2339,10 +2318,9 @@
       }
     },
     "node_modules/rollup": {
-      "version": "4.29.1",
-      "resolved": "https://registry.npmjs.org/rollup/-/rollup-4.29.1.tgz",
-      "integrity": "sha512-RaJ45M/kmJUzSWDs1Nnd5DdV4eerC98idtUOVr6FfKcgxqvjwHmxc5upLF9qZU9EpsVzzhleFahrT3shLuJzIw==",
-      "license": "MIT",
+      "version": "4.34.7",
+      "resolved": "https://registry.npmjs.org/rollup/-/rollup-4.34.7.tgz",
+      "integrity": "sha512-8qhyN0oZ4x0H6wmBgfKxJtxM7qS98YJ0k0kNh5ECVtuchIJ7z9IVVvzpmtQyT10PXKMtBxYr1wQ5Apg8RS8kXQ==",
       "dependencies": {
         "@types/estree": "1.0.6"
       },
@@ -2354,25 +2332,25 @@
         "npm": ">=8.0.0"
       },
       "optionalDependencies": {
-        "@rollup/rollup-android-arm-eabi": "4.29.1",
-        "@rollup/rollup-android-arm64": "4.29.1",
-        "@rollup/rollup-darwin-arm64": "4.29.1",
-        "@rollup/rollup-darwin-x64": "4.29.1",
-        "@rollup/rollup-freebsd-arm64": "4.29.1",
-        "@rollup/rollup-freebsd-x64": "4.29.1",
-        "@rollup/rollup-linux-arm-gnueabihf": "4.29.1",
-        "@rollup/rollup-linux-arm-musleabihf": "4.29.1",
-        "@rollup/rollup-linux-arm64-gnu": "4.29.1",
-        "@rollup/rollup-linux-arm64-musl": "4.29.1",
-        "@rollup/rollup-linux-loongarch64-gnu": "4.29.1",
-        "@rollup/rollup-linux-powerpc64le-gnu": "4.29.1",
-        "@rollup/rollup-linux-riscv64-gnu": "4.29.1",
-        "@rollup/rollup-linux-s390x-gnu": "4.29.1",
-        "@rollup/rollup-linux-x64-gnu": "4.29.1",
-        "@rollup/rollup-linux-x64-musl": "4.29.1",
-        "@rollup/rollup-win32-arm64-msvc": "4.29.1",
-        "@rollup/rollup-win32-ia32-msvc": "4.29.1",
-        "@rollup/rollup-win32-x64-msvc": "4.29.1",
+        "@rollup/rollup-android-arm-eabi": "4.34.7",
+        "@rollup/rollup-android-arm64": "4.34.7",
+        "@rollup/rollup-darwin-arm64": "4.34.7",
+        "@rollup/rollup-darwin-x64": "4.34.7",
+        "@rollup/rollup-freebsd-arm64": "4.34.7",
+        "@rollup/rollup-freebsd-x64": "4.34.7",
+        "@rollup/rollup-linux-arm-gnueabihf": "4.34.7",
+        "@rollup/rollup-linux-arm-musleabihf": "4.34.7",
+        "@rollup/rollup-linux-arm64-gnu": "4.34.7",
+        "@rollup/rollup-linux-arm64-musl": "4.34.7",
+        "@rollup/rollup-linux-loongarch64-gnu": "4.34.7",
+        "@rollup/rollup-linux-powerpc64le-gnu": "4.34.7",
+        "@rollup/rollup-linux-riscv64-gnu": "4.34.7",
+        "@rollup/rollup-linux-s390x-gnu": "4.34.7",
+        "@rollup/rollup-linux-x64-gnu": "4.34.7",
+        "@rollup/rollup-linux-x64-musl": "4.34.7",
+        "@rollup/rollup-win32-arm64-msvc": "4.34.7",
+        "@rollup/rollup-win32-ia32-msvc": "4.34.7",
+        "@rollup/rollup-win32-x64-msvc": "4.34.7",
         "fsevents": "~2.3.2"
       }
     },
@@ -2719,14 +2697,13 @@
       "license": "MIT"
     },
     "node_modules/vite": {
-      "version": "6.0.7",
-      "resolved": "https://registry.npmjs.org/vite/-/vite-6.0.7.tgz",
-      "integrity": "sha512-RDt8r/7qx9940f8FcOIAH9PTViRrghKaK2K1jY3RaAURrEUbm9Du1mJ72G+jlhtG3WwodnfzY8ORQZbBavZEAQ==",
-      "license": "MIT",
+      "version": "6.1.0",
+      "resolved": "https://registry.npmjs.org/vite/-/vite-6.1.0.tgz",
+      "integrity": "sha512-RjjMipCKVoR4hVfPY6GQTgveinjNuyLw+qruksLDvA5ktI1150VmcMBKmQaEWJhg/j6Uaf6dNCNA0AfdzUb/hQ==",
       "dependencies": {
         "esbuild": "^0.24.2",
-        "postcss": "^8.4.49",
-        "rollup": "^4.23.0"
+        "postcss": "^8.5.1",
+        "rollup": "^4.30.1"
       },
       "bin": {
         "vite": "bin/vite.js"
diff --git a/todo.md b/todo.md
index 2d79665..f77bc10 100644
--- a/todo.md
+++ b/todo.md
@@ -19,4 +19,6 @@
 [ ] customize prompts in [workflow to manage scenario](./workflows/tool_workflow.py)<br />
 [ ] add in new tools? <br />
 [ ] create tests<br />
-[ ] non-retry the api key error - "Invalid API Key provided: sk_test_**J..." and "AuthenticationError"
\ No newline at end of file
+[ ] non-retry the api key error - "Invalid API Key provided: sk_test_**J..." and "AuthenticationError"
+
+[ ] document *why* temporal for ai agents - scalability, durability in the readme
\ No newline at end of file

From 8db1dcd4a7f1e4b529969db7de66eeb159a4b643 Mon Sep 17 00:00:00 2001
From: Laine <lainelminor@gmail.com>
Date: Tue, 11 Mar 2025 14:48:39 -0400
Subject: [PATCH 12/98] Dynamically generate list of agents, try to fix goal
 changing flow

---
 models/tool_definitions.py         |  4 +++-
 prompts/agent_prompt_generators.py |  3 ++-
 tools/change_goal.py               | 14 ++-----------
 tools/goal_registry.py             | 19 +++++++++++++++++-
 tools/list_agents.py               | 32 ++++++++++--------------------
 workflows/agent_goal_workflow.py   | 19 ++++++++++++------
 6 files changed, 49 insertions(+), 42 deletions(-)

diff --git a/models/tool_definitions.py b/models/tool_definitions.py
index d4b085f..76d9ab3 100644
--- a/models/tool_definitions.py
+++ b/models/tool_definitions.py
@@ -15,9 +15,11 @@ class ToolDefinition:
     description: str
     arguments: List[ToolArgument]
 
-
 @dataclass
 class AgentGoal:
+    id: str
+    agent_name: str
+    agent_friendly_description: str
     tools: List[ToolDefinition]
     description: str = "Description of the tools purpose and overall goal"
     starter_prompt: str = "Initial prompt to start the conversation"
diff --git a/prompts/agent_prompt_generators.py b/prompts/agent_prompt_generators.py
index d5e301f..cbd0d97 100644
--- a/prompts/agent_prompt_generators.py
+++ b/prompts/agent_prompt_generators.py
@@ -125,7 +125,8 @@ def generate_tool_completion_prompt(current_tool: str, dynamic_result: dict) ->
         "You will need to use the tool_results to auto-fill arguments for subsequent tools and also to figure out if all tools have been run."
         '{"next": "<question|confirm|done>", "tool": "<tool_name or null>", "args": {"<arg1>": "<value1 or null>", "<arg2>": "<value2 or null>}, "response": "<plain text (can include \\n line breaks)>"}'
         "ONLY return those json keys (next, tool, args, response), nothing else."
-        'Next should be "question".'
+        'Next should be "question" if the tool is not the last one in the sequence.'
+        'Next should only be "confirm" if all tools have been run (use the system prompt to figure that out).'
     )
 
 def generate_missing_args_prompt(current_tool: str, tool_data: dict, missing_args: list[str]) -> str:
diff --git a/tools/change_goal.py b/tools/change_goal.py
index 7588ae2..df897ef 100644
--- a/tools/change_goal.py
+++ b/tools/change_goal.py
@@ -1,18 +1,8 @@
-# can this just call the API endpoint to set the goal, if that changes to allow a param? 
-#   if this functions, it could work to both send a signal and also circumvent the UI -> API thing. Maybe?
-
-# --- OR ---
-
-# end this workflow and start a new one with the new goal
-
-# --- OR ---
-
-# send a signal to the workflow from here?
-import shared.config
-
 def change_goal(args: dict) -> dict:
 
     new_goal = args.get("goalID")
+    if new_goal is None:
+        new_goal = "goal_choose_agent_type"
 
     return {
         "new_goal": new_goal,
diff --git a/tools/goal_registry.py b/tools/goal_registry.py
index 01d1ea9..00be732 100644
--- a/tools/goal_registry.py
+++ b/tools/goal_registry.py
@@ -1,3 +1,4 @@
+from typing import List
 from models.tool_definitions import AgentGoal
 from tools.tool_registry import (
     search_fixtures_tool,
@@ -13,9 +14,12 @@ from tools.tool_registry import (
 starter_prompt_generic = "Welcome me, give me a description of what you can do, then ask me for the details you need to do your job"
 
 goal_choose_agent_type = AgentGoal(
+    id = "goal_choose_agent_type",
+    agent_name="Choose Agent",
+    agent_friendly_description="Choose the type of agent to assist you today.",
     tools=[
         list_agents_tool, 
-        change_goal_tool
+        change_goal_tool,
     ],
     description="The user wants to choose which type of agent they will interact with. "
         "Help the user gather args for these tools, in order: "
@@ -38,6 +42,9 @@ goal_choose_agent_type = AgentGoal(
 )
 
 goal_match_train_invoice = AgentGoal(
+    id = "goal_match_train_invoice",
+    agent_name="UK Premier League Match Trip Booking",
+    agent_friendly_description="Book a trip to a city in the UK around the dates of a premier league match.",
     tools=[
         search_fixtures_tool,
         search_trains_tool,
@@ -81,10 +88,14 @@ goal_match_train_invoice = AgentGoal(
 )
 
 goal_event_flight_invoice = AgentGoal(
+    id = "goal_event_flight_invoice",
+    agent_name="Australia and New Zealand Event Flight Booking",
+    agent_friendly_description="Book a trip to a city in Australia or New Zealand around the dates of events in that city.",    
     tools=[
         find_events_tool,
         search_flights_tool,
         create_invoice_tool,
+        list_agents_tool,
     ],
     description="Help the user gather args for these tools in order: "
     "1. FindEvents: Find an event to travel to "
@@ -113,3 +124,9 @@ goal_event_flight_invoice = AgentGoal(
         ]
     ),
 )
+
+#Add the goals to a list for more generic processing, like listing available agents
+goal_list: List[AgentGoal] = []
+goal_list.append(goal_choose_agent_type)
+goal_list.append(goal_event_flight_invoice)
+goal_list.append(goal_match_train_invoice)
diff --git a/tools/list_agents.py b/tools/list_agents.py
index 62f3010..1fc56f3 100644
--- a/tools/list_agents.py
+++ b/tools/list_agents.py
@@ -1,27 +1,17 @@
-from pathlib import Path
-import json
+import tools.goal_registry as goals
 
 def list_agents(args: dict) -> dict:
 
-   # file_path = Path(__file__).resolve().parent / "goal_regsitry.py"
-    #if not file_path.exists():
-      #  return {"error": "Data file not found."}
-
     agents = []
-    agents.append(
-        {
-            "agent_name": "Event Flight Helper",
-            "goal_id": "goal_event_flight_invoice",
-            "agent_description": "Helps users find interesting events and arrange travel to them",
-        }
-    )
-    agents.append(
-        {
-            "agent_name": "Soccer Train Thing Guy",
-            "goal_id": "goal_match_train_invoice",
-            "agent_description": "Something about soccer and trains and stuff",
-        }
-    )
+    if goals.goal_list is not None:
+        for goal in goals.goal_list:
+            agents.append(
+                {
+                    "agent_name": goal.agent_name,
+                    "goal_id": goal.id,
+                    "agent_description": goal.agent_friendly_description,
+                }
+            )
     return {
         "agents": agents,
-    }
\ No newline at end of file
+    }
diff --git a/workflows/agent_goal_workflow.py b/workflows/agent_goal_workflow.py
index c6c05ae..2569041 100644
--- a/workflows/agent_goal_workflow.py
+++ b/workflows/agent_goal_workflow.py
@@ -1,6 +1,5 @@
 from collections import deque
 from datetime import timedelta
-import importlib
 from typing import Dict, Any, Union, List, Optional, Deque, TypedDict
 
 from temporalio.common import RetryPolicy
@@ -97,12 +96,17 @@ class AgentGoalWorkflow:
                     self.prompt_queue
                 )
 
+                workflow.logger.warning(f"tool_results keys: {self.tool_results[-1].keys()}")
+                workflow.logger.warning(f"tool_results values: {self.tool_results[-1].values()}")
                 #set new goal if we should
-                if len(self.tool_results) > 0 and "new_goal" in self.tool_results[-1].keys() and "ChangeGoal" in self.tool_results[-1].values():
-                    
-                    new_goal = self.tool_results[-1].get("new_goal")
-                    workflow.logger.warning(f"Booya new goal!: {new_goal}")
-                    self.change_goal(new_goal)
+                if len(self.tool_results) > 0:
+                    if "ChangeGoal" in self.tool_results[-1].values() and "new_goal" in self.tool_results[-1].keys():
+                        new_goal = self.tool_results[-1].get("new_goal")
+                        workflow.logger.warning(f"Booya new goal!: {new_goal}")
+                        self.change_goal(new_goal)
+                    elif "ListAgents" in self.tool_results[-1].values() and self.goal.id != "goal_choose_agent_type":
+                        workflow.logger.warning("setting goal to goal_choose_agent_type")
+                        self.change_goal("goal_choose_agent_type")
                 continue
 
             if self.prompt_queue:
@@ -252,6 +256,9 @@ class AgentGoalWorkflow:
         }
 
         if goal is not None:
+        #    for listed_goal in goals.goal_list:
+        #        if listed_goal.id == goal:
+         #           self.goal = listed_goal
             self.goal = goals.get(goal)
             workflow.logger.warning("Changed goal to " + goal)
         #todo reset goal or tools if this doesn't work or whatever

From bb733bc966603dfb095f538aa21614f013007a68 Mon Sep 17 00:00:00 2001
From: Joshua Smith <joshmsmith@gmail.com>
Date: Tue, 11 Mar 2025 15:05:03 -0400
Subject: [PATCH 13/98] updated todo

---
 todo.md | 11 +++++++++--
 1 file changed, 9 insertions(+), 2 deletions(-)

diff --git a/todo.md b/todo.md
index f77bc10..685ff89 100644
--- a/todo.md
+++ b/todo.md
@@ -1,4 +1,12 @@
 # todo list
+[ ] multi-goal <br />
+    [ ] set goal to list agents when done <br />
+
+[ ] document *why* temporal for ai agents - scalability, durability in the readme <br />
+[ ] fix readme: move setup to its own page, demo to its own page, add the why /|\ section <br />
+[ ] add architecture to readme <br />
+[ ] create tests<br />
+
 [ ] create people management scenario <br />
   -- check pay status
   -- book work travel
@@ -18,7 +26,6 @@
 
 [ ] customize prompts in [workflow to manage scenario](./workflows/tool_workflow.py)<br />
 [ ] add in new tools? <br />
-[ ] create tests<br />
+
 [ ] non-retry the api key error - "Invalid API Key provided: sk_test_**J..." and "AuthenticationError"
 
-[ ] document *why* temporal for ai agents - scalability, durability in the readme
\ No newline at end of file

From c0a874b90e3d4eb3930bd282559e617b15667f0f Mon Sep 17 00:00:00 2001
From: Joshua Smith <joshmsmith@gmail.com>
Date: Tue, 11 Mar 2025 15:52:47 -0400
Subject: [PATCH 14/98] added some workflow debugging, converted from "done" to
 pick-new-goal and updated prompts

---
 prompts/agent_prompt_generators.py | 12 ++++++------
 workflows/agent_goal_workflow.py   | 15 +++++++++++----
 2 files changed, 17 insertions(+), 10 deletions(-)

diff --git a/prompts/agent_prompt_generators.py b/prompts/agent_prompt_generators.py
index cbd0d97..8a001f3 100644
--- a/prompts/agent_prompt_generators.py
+++ b/prompts/agent_prompt_generators.py
@@ -68,7 +68,7 @@ def generate_genai_prompt(
         "Your JSON format must be:\n"
         "{\n"
         '  "response": "<plain text>",\n'
-        '  "next": "<question|confirm|done>",\n'
+        '  "next": "<question|confirm|pick-new-goal>",\n'
         '  "tool": "<tool_name or null>",\n'
         '  "args": {\n'
         '    "<arg1>": "<value1 or null>",\n'
@@ -122,11 +122,11 @@ def generate_tool_completion_prompt(current_tool: str, dynamic_result: dict) ->
     return (
         f"### The '{current_tool}' tool completed successfully with {dynamic_result}. "
         "INSTRUCTIONS: Parse this tool result as plain text, and use the system prompt containing the list of tools in sequence and the conversation history (and previous tool_results) to figure out next steps, if any. "
-        "You will need to use the tool_results to auto-fill arguments for subsequent tools and also to figure out if all tools have been run."
-        '{"next": "<question|confirm|done>", "tool": "<tool_name or null>", "args": {"<arg1>": "<value1 or null>", "<arg2>": "<value2 or null>}, "response": "<plain text (can include \\n line breaks)>"}'
-        "ONLY return those json keys (next, tool, args, response), nothing else."
-        'Next should be "question" if the tool is not the last one in the sequence.'
-        'Next should only be "confirm" if all tools have been run (use the system prompt to figure that out).'
+        "You will need to use the tool_results to auto-fill arguments for subsequent tools and also to figure out if all tools have been run. "
+        '{"next": "<question|confirm|pick-new-goal>", "tool": "<tool_name or null>", "args": {"<arg1>": "<value1 or null>", "<arg2>": "<value2 or null>}, "response": "<plain text (can include \\n line breaks)>"}'
+        "ONLY return those json keys (next, tool, args, response), nothing else. "
+        'Next should be "question" if the tool is not the last one in the sequence. '
+        'Next should only be "pick-new-goal" if all tools have been run (use the system prompt to figure that out).'
     )
 
 def generate_missing_args_prompt(current_tool: str, tool_data: dict, missing_args: list[str]) -> str:
diff --git a/workflows/agent_goal_workflow.py b/workflows/agent_goal_workflow.py
index ba5652b..4a6f3eb 100644
--- a/workflows/agent_goal_workflow.py
+++ b/workflows/agent_goal_workflow.py
@@ -169,8 +169,13 @@ class AgentGoalWorkflow:
                 # move forward in the tool chain
                 next_step = tool_data.get("next")
                 current_tool = tool_data.get("tool")
+                if "next" in self.tool_data.keys():
+                    workflow.logger.warning(f"ran the toolplanner, next step: {next_step}")
+                else: 
+                    workflow.logger.warning("ran the toolplanner, next step not set!")
 
                 if next_step == "confirm" and current_tool:
+                    workflow.logger.warning("ran the toolplanner, trying to confirm")
                     args = tool_data.get("args", {})
                     if await helpers.handle_missing_args(current_tool, args, tool_data, self.prompt_queue):
                         continue
@@ -180,10 +185,12 @@ class AgentGoalWorkflow:
                     workflow.logger.info("Waiting for user confirm signal...")
 
                 # todo probably here we can set the next step to be change-goal 
-                elif next_step == "done":
-                    workflow.logger.info("All steps completed. Exiting workflow.")
-                    self.add_message("agent", tool_data)
-                    return str(self.conversation_history)
+                elif next_step == "pick-new-goal":
+                    workflow.logger.info("All steps completed. Resetting goal.")
+                    #self.add_message("agent", tool_data)
+                    workflow.logger.warning("pick-new-goal time, setting goal to goal_choose_agent_type")
+                    self.change_goal("goal_choose_agent_type")
+                    #return str(self.conversation_history)
 
                 self.add_message("agent", tool_data)
                 await helpers.continue_as_new_if_needed(

From 56cccd660dfd678d63da33c37520eb811b0ee7fa Mon Sep 17 00:00:00 2001
From: Joshua Smith <joshmsmith@gmail.com>
Date: Tue, 11 Mar 2025 15:53:46 -0400
Subject: [PATCH 15/98] todo updates

---
 todo.md | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/todo.md b/todo.md
index 685ff89..ed6429d 100644
--- a/todo.md
+++ b/todo.md
@@ -1,7 +1,10 @@
 # todo list
 [ ] multi-goal <br />
-    [ ] set goal to list agents when done <br />
+    [x] set goal to list agents when done <br />
+    [ ] make this better/smoother <br />
 
+[ ] make the debugging confirms optional <br />
+[ ] grok integration <br />
 [ ] document *why* temporal for ai agents - scalability, durability in the readme <br />
 [ ] fix readme: move setup to its own page, demo to its own page, add the why /|\ section <br />
 [ ] add architecture to readme <br />

From fdf5550ea3173cafaff1ff6f6557e602327a4be4 Mon Sep 17 00:00:00 2001
From: Laine <lainelminor@gmail.com>
Date: Wed, 12 Mar 2025 09:01:31 -0400
Subject: [PATCH 16/98] Add "done" back in for prompts, remove argument from
 ListAgents tool def

---
 models/data_types.py               | 2 +-
 prompts/agent_prompt_generators.py | 4 ++--
 tools/tool_registry.py             | 8 +-------
 3 files changed, 4 insertions(+), 10 deletions(-)

diff --git a/models/data_types.py b/models/data_types.py
index 6f331a1..39b9357 100644
--- a/models/data_types.py
+++ b/models/data_types.py
@@ -17,7 +17,7 @@ class CombinedInput:
 
 Message = Dict[str, Union[str, Dict[str, Any]]]
 ConversationHistory = Dict[str, List[Message]]
-NextStep = Literal["confirm", "question", "done"]
+NextStep = Literal["confirm", "question", "pick-new-goal", "done"]
 
 
 @dataclass
diff --git a/prompts/agent_prompt_generators.py b/prompts/agent_prompt_generators.py
index 8a001f3..4ce9194 100644
--- a/prompts/agent_prompt_generators.py
+++ b/prompts/agent_prompt_generators.py
@@ -68,7 +68,7 @@ def generate_genai_prompt(
         "Your JSON format must be:\n"
         "{\n"
         '  "response": "<plain text>",\n'
-        '  "next": "<question|confirm|pick-new-goal>",\n'
+        '  "next": "<question|confirm|pick-new-goal|done>",\n'
         '  "tool": "<tool_name or null>",\n'
         '  "args": {\n'
         '    "<arg1>": "<value1 or null>",\n'
@@ -123,7 +123,7 @@ def generate_tool_completion_prompt(current_tool: str, dynamic_result: dict) ->
         f"### The '{current_tool}' tool completed successfully with {dynamic_result}. "
         "INSTRUCTIONS: Parse this tool result as plain text, and use the system prompt containing the list of tools in sequence and the conversation history (and previous tool_results) to figure out next steps, if any. "
         "You will need to use the tool_results to auto-fill arguments for subsequent tools and also to figure out if all tools have been run. "
-        '{"next": "<question|confirm|pick-new-goal>", "tool": "<tool_name or null>", "args": {"<arg1>": "<value1 or null>", "<arg2>": "<value2 or null>}, "response": "<plain text (can include \\n line breaks)>"}'
+        '{"next": "<question|confirm|pick-new-goal|done>", "tool": "<tool_name or null>", "args": {"<arg1>": "<value1 or null>", "<arg2>": "<value2 or null>}, "response": "<plain text (can include \\n line breaks)>"}'
         "ONLY return those json keys (next, tool, args, response), nothing else. "
         'Next should be "question" if the tool is not the last one in the sequence. '
         'Next should only be "pick-new-goal" if all tools have been run (use the system prompt to figure that out).'
diff --git a/tools/tool_registry.py b/tools/tool_registry.py
index 7a08b3b..f80aa8b 100644
--- a/tools/tool_registry.py
+++ b/tools/tool_registry.py
@@ -3,13 +3,7 @@ from models.tool_definitions import ToolDefinition, ToolArgument
 list_agents_tool = ToolDefinition(
     name="ListAgents",
     description="List available agents to interact with, pulled from goal_registry. ",
-    arguments=[        
-        ToolArgument(
-            name="userConfirmation",
-            type="string",
-            description="dummy variable to make thing work",
-        ),
-    ],
+    arguments=[],
 )
 
 change_goal_tool = ToolDefinition(

From c418c185dbc590ebc6b70fd9724d7a648ed1d7a0 Mon Sep 17 00:00:00 2001
From: Joshua Smith <joshmsmith@gmail.com>
Date: Wed, 12 Mar 2025 09:13:47 -0400
Subject: [PATCH 17/98] added test

---
 tests/agent_goal_workflow_test.py | 55 +++++++++++++++++++++++++++++++
 1 file changed, 55 insertions(+)
 create mode 100644 tests/agent_goal_workflow_test.py

diff --git a/tests/agent_goal_workflow_test.py b/tests/agent_goal_workflow_test.py
new file mode 100644
index 0000000..b280def
--- /dev/null
+++ b/tests/agent_goal_workflow_test.py
@@ -0,0 +1,55 @@
+import asyncio
+
+from temporalio.client import Client, WorkflowExecutionStatus
+from temporalio.worker import Worker
+from temporalio.testing import TestWorkflowEnvironment
+from api.main import get_initial_agent_goal
+from models.data_types import AgentGoalWorkflowParams, CombinedInput
+from workflows import AgentGoalWorkflow
+from activities.tool_activities import ToolActivities, dynamic_tool_activity
+
+
+async def asyncSetUp(self):
+    # Set up the test environment
+    self.env = await TestWorkflowEnvironment.create_local()
+
+async def asyncTearDown(self):
+    # Clean up after tests
+    await self.env.shutdown()
+
+async def test_workflow_success(client: Client):
+    # Register the workflow and activity
+    # self.env.register_workflow(AgentGoalWorkflow)
+    # self.env.register_activity(ToolActivities.agent_validatePrompt)
+    # self.env.register_activity(ToolActivities.agent_toolPlanner)
+    # self.env.register_activity(dynamic_tool_activity)
+
+    task_queue_name = "agent-ai-workflow"
+    workflow_id = "agent-workflow"
+    
+    initial_agent_goal = get_initial_agent_goal()
+
+    # Create combined input
+    combined_input = CombinedInput(
+        tool_params=AgentGoalWorkflowParams(None, None),
+        agent_goal=initial_agent_goal,
+    )
+
+    workflow_id = "agent-workflow"
+    async with Worker(client, task_queue=task_queue_name, workflows=[AgentGoalWorkflow], activities=[ToolActivities.agent_validatePrompt, ToolActivities.agent_toolPlanner, dynamic_tool_activity]):
+        handle = await client.start_workflow(
+            AgentGoalWorkflow.run, id=workflow_id, task_queue=task_queue_name
+        )
+        # todo fix signals
+        await handle.signal(AgentGoalWorkflow.submit_greeting, "user1")
+        await handle.signal(AgentGoalWorkflow.submit_greeting, "user2")
+        assert WorkflowExecutionStatus.RUNNING == (await handle.describe()).status
+
+        await handle.signal(AgentGoalWorkflow.exit)
+        assert ["Hello, user1", "Hello, user2"] == await handle.result()
+        assert WorkflowExecutionStatus.COMPLETED == (await handle.describe()).status
+
+   
+
+
+    
\ No newline at end of file

From 947c5cd0f7f70485190b33d9d7e816240dba87d2 Mon Sep 17 00:00:00 2001
From: Laine <lainelminor@gmail.com>
Date: Wed, 12 Mar 2025 09:20:09 -0400
Subject: [PATCH 18/98] Take out specific goals, add back in elif done so the
 workflow ends

---
 workflows/agent_goal_workflow.py | 28 ++++++++++++++++------------
 1 file changed, 16 insertions(+), 12 deletions(-)

diff --git a/workflows/agent_goal_workflow.py b/workflows/agent_goal_workflow.py
index 4a6f3eb..56f34a0 100644
--- a/workflows/agent_goal_workflow.py
+++ b/workflows/agent_goal_workflow.py
@@ -20,7 +20,7 @@ with workflow.unsafe.imports_passed_through():
         CombinedInput,
         ToolPromptInput,
     )
-    from tools.goal_registry import goal_match_train_invoice, goal_event_flight_invoice, goal_choose_agent_type
+    from tools.goal_registry import goal_list
 
 # Constants
 MAX_TURNS_BEFORE_CONTINUE = 250
@@ -175,11 +175,12 @@ class AgentGoalWorkflow:
                     workflow.logger.warning("ran the toolplanner, next step not set!")
 
                 if next_step == "confirm" and current_tool:
-                    workflow.logger.warning("ran the toolplanner, trying to confirm")
+                    workflow.logger.warning("next_step: confirm, ran the toolplanner, trying to confirm")
                     args = tool_data.get("args", {})
                     if await helpers.handle_missing_args(current_tool, args, tool_data, self.prompt_queue):
                         continue
 
+# Would swapping these two get rid of the confirm button step?
                     waiting_for_confirm = True
                     self.confirm = False
                     workflow.logger.info("Waiting for user confirm signal...")
@@ -187,10 +188,13 @@ class AgentGoalWorkflow:
                 # todo probably here we can set the next step to be change-goal 
                 elif next_step == "pick-new-goal":
                     workflow.logger.info("All steps completed. Resetting goal.")
-                    #self.add_message("agent", tool_data)
-                    workflow.logger.warning("pick-new-goal time, setting goal to goal_choose_agent_type")
+                    workflow.logger.warning("next_step = pick-new-goal, setting goal to goal_choose_agent_type")
                     self.change_goal("goal_choose_agent_type")
-                    #return str(self.conversation_history)
+                    
+                elif next_step == "done":
+                    workflow.logger.warning("next_step = done")
+                    self.add_message("agent", tool_data)
+                    return str(self.conversation_history)
 
                 self.add_message("agent", tool_data)
                 await helpers.continue_as_new_if_needed(
@@ -262,16 +266,16 @@ class AgentGoalWorkflow:
         )
 
     def change_goal(self, goal: str) -> None:
-        goals = {
+        '''goalsLocal = {
             "goal_match_train_invoice": goal_match_train_invoice,
             "goal_event_flight_invoice": goal_event_flight_invoice,
             "goal_choose_agent_type": goal_choose_agent_type,
-        }
+        }'''
 
         if goal is not None:
-        #    for listed_goal in goals.goal_list:
-        #        if listed_goal.id == goal:
-         #           self.goal = listed_goal
-            self.goal = goals.get(goal)
-            workflow.logger.warning("Changed goal to " + goal)
+            for listed_goal in goal_list:
+                if listed_goal.id == goal:
+                    self.goal = listed_goal
+        #    self.goal = goals.get(goal)
+                    workflow.logger.warning("Changed goal to " + goal)
         #todo reset goal or tools if this doesn't work or whatever

From b2d6f789d979c0d8a57080d3044785133318ab66 Mon Sep 17 00:00:00 2001
From: Joshua Smith <joshmsmith@gmail.com>
Date: Wed, 12 Mar 2025 09:37:20 -0400
Subject: [PATCH 19/98] updated todo list

---
 todo.md | 8 +++++---
 1 file changed, 5 insertions(+), 3 deletions(-)

diff --git a/todo.md b/todo.md
index ed6429d..a63530a 100644
--- a/todo.md
+++ b/todo.md
@@ -1,7 +1,9 @@
 # todo list
-[ ] multi-goal <br />
+[x] multi-goal <br />
     [x] set goal to list agents when done <br />
-    [ ] make this better/smoother <br />
+    [x] make this better/smoother <br />
+
+[ ] clean up workflow/make functions
 
 [ ] make the debugging confirms optional <br />
 [ ] grok integration <br />
@@ -31,4 +33,4 @@
 [ ] add in new tools? <br />
 
 [ ] non-retry the api key error - "Invalid API Key provided: sk_test_**J..." and "AuthenticationError"
-
+[ ] make it so you can yeet yourself out of a goal and pick a new one

From df58eee9d4f2ae84e4e5c86885e14771cffcde44 Mon Sep 17 00:00:00 2001
From: Laine <lainelminor@gmail.com>
Date: Wed, 12 Mar 2025 09:40:56 -0400
Subject: [PATCH 20/98] Change to use goal_list in the api code, add
 list_agents to the other goal as the last tool

---
 api/main.py                      | 16 ++++++----------
 tools/goal_registry.py           |  3 ++-
 workflows/agent_goal_workflow.py |  1 -
 3 files changed, 8 insertions(+), 12 deletions(-)

diff --git a/api/main.py b/api/main.py
index 1760458..a22405f 100644
--- a/api/main.py
+++ b/api/main.py
@@ -9,7 +9,7 @@ import asyncio
 
 from workflows.agent_goal_workflow import AgentGoalWorkflow
 from models.data_types import CombinedInput, AgentGoalWorkflowParams
-from tools.goal_registry import goal_match_train_invoice, goal_event_flight_invoice, goal_choose_agent_type
+from tools.goal_registry import goal_list
 from fastapi.middleware.cors import CORSMiddleware
 from shared.config import get_temporal_client, TEMPORAL_TASK_QUEUE, AGENT_GOAL
 
@@ -22,17 +22,13 @@ load_dotenv()
 
 def get_initial_agent_goal():
     """Get the agent goal from environment variables."""
-    goals = {
-        "goal_match_train_invoice": goal_match_train_invoice,
-        "goal_event_flight_invoice": goal_event_flight_invoice,
-        "goal_choose_agent_type": goal_choose_agent_type,
-    }
-
     if AGENT_GOAL is not None:
-        return goals.get(AGENT_GOAL)
+        for listed_goal in goal_list:
+            if listed_goal.id == AGENT_GOAL:
+                return listed_goal
     else:
-        #if no goal is set in the env file, default to event/flight use case
-        return goals.get("goal_event_flight_invoice", goal_event_flight_invoice)
+        #if no goal is set in the config file, default to choosing an agent
+        return goal_list.get("goal_choose_agent_type")
 
 
 @app.on_event("startup")
diff --git a/tools/goal_registry.py b/tools/goal_registry.py
index 00be732..39e2187 100644
--- a/tools/goal_registry.py
+++ b/tools/goal_registry.py
@@ -50,6 +50,7 @@ goal_match_train_invoice = AgentGoal(
         search_trains_tool,
         book_trains_tool,
         create_invoice_tool,
+        list_agents_tool, #last tool must be list_agents to fasciliate changing back to picking an agent again at the end
     ],
     description="The user wants to book a trip to a city in the UK around the dates of a premier league match. "
     "Help the user find a premier league match to attend, search and book trains for that match and offers to invoice them for the cost of train tickets. "
@@ -95,7 +96,7 @@ goal_event_flight_invoice = AgentGoal(
         find_events_tool,
         search_flights_tool,
         create_invoice_tool,
-        list_agents_tool,
+        list_agents_tool, #last tool must be list_agents to fasciliate changing back to picking an agent again at the end
     ],
     description="Help the user gather args for these tools in order: "
     "1. FindEvents: Find an event to travel to "
diff --git a/workflows/agent_goal_workflow.py b/workflows/agent_goal_workflow.py
index 56f34a0..c433463 100644
--- a/workflows/agent_goal_workflow.py
+++ b/workflows/agent_goal_workflow.py
@@ -180,7 +180,6 @@ class AgentGoalWorkflow:
                     if await helpers.handle_missing_args(current_tool, args, tool_data, self.prompt_queue):
                         continue
 
-# Would swapping these two get rid of the confirm button step?
                     waiting_for_confirm = True
                     self.confirm = False
                     workflow.logger.info("Waiting for user confirm signal...")

From f969098dc89c1ae454c91e129ca7d2e642766823 Mon Sep 17 00:00:00 2001
From: Joshua Smith <joshmsmith@gmail.com>
Date: Wed, 12 Mar 2025 09:55:25 -0400
Subject: [PATCH 21/98] finishing grok support

---
 activities/tool_activities.py | 44 +++++++++++++++++++++++++++++++++++
 1 file changed, 44 insertions(+)

diff --git a/activities/tool_activities.py b/activities/tool_activities.py
index 75e14e0..5d5ffc3 100644
--- a/activities/tool_activities.py
+++ b/activities/tool_activities.py
@@ -34,6 +34,7 @@ class ToolActivities:
 
         # Initialize client variables (all set to None initially)
         self.openai_client: Optional[OpenAI] = None
+        self.grok_client: Optional[OpenAI] = None
         self.anthropic_client: Optional[anthropic.Anthropic] = None
         self.genai_configured: bool = False
         self.deepseek_client: Optional[deepseek.DeepSeekAPI] = None
@@ -47,6 +48,13 @@ class ToolActivities:
                 print("Initialized OpenAI client")
             else:
                 print("Warning: OPENAI_API_KEY not set but LLM_PROVIDER is 'openai'")
+        
+        if self.llm_provider == "grok":
+            if os.environ.get("GROK_API_KEY"):
+                self.grok_client = OpenAI(api_key=os.environ.get("GROK_API_KEY"), base_url="https://api.x.ai/v1")
+                print("Initialized grok client")
+            else:
+                print("Warning: GROK_API_KEY not set but LLM_PROVIDER is 'grok'")
 
         elif self.llm_provider == "anthropic":
             if os.environ.get("ANTHROPIC_API_KEY"):
@@ -195,6 +203,8 @@ class ToolActivities:
             return self.prompt_llm_anthropic(input)
         elif self.llm_provider == "deepseek":
             return self.prompt_llm_deepseek(input)
+        elif self.llm_provider == "grok":
+            return self.prompt_llm_grok(input)
         else:
             return self.prompt_llm_openai(input)
 
@@ -244,6 +254,40 @@ class ToolActivities:
 
         return self.parse_json_response(response_content)
 
+    def prompt_llm_grok(self, input: ToolPromptInput) -> dict:
+        if not self.grok_client:
+            api_key = os.environ.get("GROK_API_KEY")
+            if not api_key:
+                raise ValueError(
+                    "GROK_API_KEY is not set in the environment variables but LLM_PROVIDER is 'grok'"
+                )
+            self.grok_client = OpenAI(api_key=api_key, base_url="https://api.x.ai/v1")
+            print("Initialized grok client on demand")
+
+        messages = [
+            {
+                "role": "system",
+                "content": input.context_instructions
+                + ". The current date is "
+                + datetime.now().strftime("%B %d, %Y"),
+            },
+            {
+                "role": "user",
+                "content": input.prompt,
+            },
+        ]
+
+        chat_completion = self.grok_client.chat.completions.create(
+            model="grok-2-1212", messages=messages  
+        )
+
+        response_content = chat_completion.choices[0].message.content
+        activity.logger.info(f"Grok response: {response_content}")
+
+        # Use the new sanitize function
+        response_content = self.sanitize_json_response(response_content)
+
+        return self.parse_json_response(response_content)
     def prompt_llm_ollama(self, input: ToolPromptInput) -> dict:
         # If not yet initialized, try to do so now (this is a backup if warm_up_ollama wasn't called or failed)
         if not self.ollama_initialized:

From 0306a5d726ac74450a32501affb92c71afb3e19f Mon Sep 17 00:00:00 2001
From: Laine <lainelminor@gmail.com>
Date: Wed, 12 Mar 2025 10:20:27 -0400
Subject: [PATCH 22/98] Auto-start workflow if one isn't found to get rid of
 startup error

---
 api/main.py | 12 ++++++++----
 todo.md     |  2 ++
 2 files changed, 10 insertions(+), 4 deletions(-)

diff --git a/api/main.py b/api/main.py
index a22405f..f518325 100644
--- a/api/main.py
+++ b/api/main.py
@@ -113,10 +113,14 @@ async def get_conversation_history():
                 status_code=404, detail="Workflow worker unavailable or not found."
             )
 
-        # For other Temporal errors, return a 500
-        raise HTTPException(
-            status_code=500, detail="Internal server error while querying workflow."
-        )
+        if "workflow not found" in error_message:
+            await start_workflow()
+            return []
+        else:
+            # For other Temporal errors, return a 500
+            raise HTTPException(
+                status_code=500, detail="Internal server error while querying workflow."
+            )
     
 @app.get("/agent-goal")
 async def get_agent_goal():
diff --git a/todo.md b/todo.md
index a63530a..a1ee04c 100644
--- a/todo.md
+++ b/todo.md
@@ -34,3 +34,5 @@
 
 [ ] non-retry the api key error - "Invalid API Key provided: sk_test_**J..." and "AuthenticationError"
 [ ] make it so you can yeet yourself out of a goal and pick a new one
+
+[ ] add visual feedback when workflow starting
\ No newline at end of file

From 697244e9708db5d94a53d93fce3e65186859b754 Mon Sep 17 00:00:00 2001
From: Laine <lainelminor@gmail.com>
Date: Wed, 12 Mar 2025 10:30:42 -0400
Subject: [PATCH 23/98] Move AGENT_GOAL back to env file

---
 api/main.py      | 14 ++++++--------
 shared/config.py |  5 -----
 2 files changed, 6 insertions(+), 13 deletions(-)

diff --git a/api/main.py b/api/main.py
index f518325..7a05ba9 100644
--- a/api/main.py
+++ b/api/main.py
@@ -1,3 +1,4 @@
+import os
 from fastapi import FastAPI
 from typing import Optional
 from temporalio.client import Client
@@ -11,7 +12,7 @@ from workflows.agent_goal_workflow import AgentGoalWorkflow
 from models.data_types import CombinedInput, AgentGoalWorkflowParams
 from tools.goal_registry import goal_list
 from fastapi.middleware.cors import CORSMiddleware
-from shared.config import get_temporal_client, TEMPORAL_TASK_QUEUE, AGENT_GOAL
+from shared.config import get_temporal_client, TEMPORAL_TASK_QUEUE
 
 app = FastAPI()
 temporal_client: Optional[Client] = None
@@ -22,13 +23,10 @@ load_dotenv()
 
 def get_initial_agent_goal():
     """Get the agent goal from environment variables."""
-    if AGENT_GOAL is not None:
-        for listed_goal in goal_list:
-            if listed_goal.id == AGENT_GOAL:
-                return listed_goal
-    else:
-        #if no goal is set in the config file, default to choosing an agent
-        return goal_list.get("goal_choose_agent_type")
+    env_goal = os.getenv("AGENT_GOAL", "goal_choose_agent_type") #if no goal is set in the env file, default to choosing an agent
+    for listed_goal in goal_list:
+        if listed_goal.id == env_goal:
+            return listed_goal
 
 
 @app.on_event("startup")
diff --git a/shared/config.py b/shared/config.py
index cb4b9da..9590634 100644
--- a/shared/config.py
+++ b/shared/config.py
@@ -16,11 +16,6 @@ TEMPORAL_TLS_CERT = os.getenv("TEMPORAL_TLS_CERT", "")
 TEMPORAL_TLS_KEY = os.getenv("TEMPORAL_TLS_KEY", "")
 TEMPORAL_API_KEY = os.getenv("TEMPORAL_API_KEY", "")
 
-#Starting agent goal - 1st goal is always to help user pick a next goal
-AGENT_GOAL = "goal_choose_agent_type"
-#AGENT_GOAL = "goal_event_flight_invoice"
-
-
 async def get_temporal_client() -> Client:
     """
     Creates a Temporal client based on environment configuration.

From 504361a5a7d94b8e2ba154430a82621585066e7b Mon Sep 17 00:00:00 2001
From: Laine <lainelminor@gmail.com>
Date: Wed, 12 Mar 2025 11:25:57 -0400
Subject: [PATCH 24/98] Add a bunch of logging and comments re: what's
 happenin'

---
 workflows/agent_goal_workflow.py | 59 ++++++++++++++++----------------
 1 file changed, 29 insertions(+), 30 deletions(-)

diff --git a/workflows/agent_goal_workflow.py b/workflows/agent_goal_workflow.py
index c433463..accc1ae 100644
--- a/workflows/agent_goal_workflow.py
+++ b/workflows/agent_goal_workflow.py
@@ -1,5 +1,6 @@
 from collections import deque
 from datetime import timedelta
+import os
 from typing import Dict, Any, Union, List, Optional, Deque, TypedDict
 
 from temporalio.common import RetryPolicy
@@ -25,6 +26,8 @@ with workflow.unsafe.imports_passed_through():
 # Constants
 MAX_TURNS_BEFORE_CONTINUE = 250
 
+SHOW_CONFIRM = os.getenv("SHOW_CONFIRM", True)
+
 class ToolData(TypedDict, total=False):
     next: NextStep
     tool: str
@@ -77,12 +80,13 @@ class AgentGoalWorkflow:
 
             # handle chat-end signal
             if self.chat_ended:
+                workflow.logger.warning(f"workflow step: chat-end signal received, ending")
                 workflow.logger.info("Chat ended.")
-                
                 return f"{self.conversation_history}"
 
-            # execute tool 
+            # user has confirmed, now actually execute the tool 
             if self.confirm and waiting_for_confirm and current_tool and self.tool_data:
+                workflow.logger.warning(f"workflow step: user has confirmed, executing the tool {current_tool}")
                 self.confirm = False
                 waiting_for_confirm = False
 
@@ -112,10 +116,11 @@ class AgentGoalWorkflow:
                         self.change_goal("goal_choose_agent_type")
                 continue
 
-            # push messages to UI if there are any
+            # if we've received messages to be processed on the prompt queue...
             if self.prompt_queue:
                 prompt = self.prompt_queue.popleft()
-                if not prompt.startswith("###"):
+                workflow.logger.warning(f"workflow step: processing message on the prompt queue, message is {prompt}")
+                if not prompt.startswith("###"): #if the message isn't from the LLM but is instead from the user
                     self.add_message("user", prompt)
 
                     # Validate the prompt before proceeding
@@ -134,27 +139,17 @@ class AgentGoalWorkflow:
                         ),
                     )
 
-                    #If validation fails, provide that feedback to the user - i.e., "your words make no sense, human"
+                    #If validation fails, provide that feedback to the user - i.e., "your words make no sense, puny human" end this iteration of processing
                     if not validation_result.validationResult:
-                        workflow.logger.warning(
-                            f"Prompt validation failed: {validation_result.validationFailedReason}"
-                        )
-                        self.add_message(
-                            "agent", validation_result.validationFailedReason
-                        )
+                        workflow.logger.warning(f"Prompt validation failed: {validation_result.validationFailedReason}")
+                        self.add_message("agent", validation_result.validationFailedReason)
                         continue
 
-                # Proceed with generating the context and prompt
-                context_instructions = generate_genai_prompt(
-                    self.goal, self.conversation_history, self.tool_data
-                )
+                # If valid, proceed with generating the context and prompt
+                context_instructions = generate_genai_prompt(self.goal, self.conversation_history, self.tool_data)
+                prompt_input = ToolPromptInput(prompt=prompt, context_instructions=context_instructions)
 
-                prompt_input = ToolPromptInput(
-                    prompt=prompt,
-                    context_instructions=context_instructions,
-                )
-
-                # connect to LLM and get it to create a prompt for the user about the tool
+                # connect to LLM and execute to get next steps
                 tool_data = await workflow.execute_activity(
                     ToolActivities.agent_toolPlanner,
                     prompt_input,
@@ -166,33 +161,34 @@ class AgentGoalWorkflow:
                 )
                 self.tool_data = tool_data
 
-                # move forward in the tool chain
+                # process the tool as dictated by the prompt response - what to do next, and with which tool
                 next_step = tool_data.get("next")
                 current_tool = tool_data.get("tool")
-                if "next" in self.tool_data.keys():
-                    workflow.logger.warning(f"ran the toolplanner, next step: {next_step}")
-                else: 
-                    workflow.logger.warning("ran the toolplanner, next step not set!")
 
+                #if the next step is to confirm...
                 if next_step == "confirm" and current_tool:
-                    workflow.logger.warning("next_step: confirm, ran the toolplanner, trying to confirm")
+                    workflow.logger.warning(f"next_step: confirm, current tool is {current_tool}")
                     args = tool_data.get("args", {})
+                    #if we're missing arguments, go back to the top of the loop
                     if await helpers.handle_missing_args(current_tool, args, tool_data, self.prompt_queue):
                         continue
 
+                    #...otherwise, set up the request for user confirmation
                     waiting_for_confirm = True
                     self.confirm = False
                     workflow.logger.info("Waiting for user confirm signal...")
 
-                # todo probably here we can set the next step to be change-goal 
+                # else if the next step is to pick a new goal...
                 elif next_step == "pick-new-goal":
                     workflow.logger.info("All steps completed. Resetting goal.")
                     workflow.logger.warning("next_step = pick-new-goal, setting goal to goal_choose_agent_type")
                     self.change_goal("goal_choose_agent_type")
-                    
+                
+                # else if the next step is to be done - this should only happen if the user requests it via "end conversation"
                 elif next_step == "done":
                     workflow.logger.warning("next_step = done")
                     self.add_message("agent", tool_data)
+                    # end the workflow
                     return str(self.conversation_history)
 
                 self.add_message("agent", tool_data)
@@ -208,8 +204,9 @@ class AgentGoalWorkflow:
     @workflow.signal
     async def user_prompt(self, prompt: str) -> None:
         """Signal handler for receiving user prompts."""
+        workflow.logger.warning(f"signal received: user_prompt, prompt is {prompt}")
         if self.chat_ended:
-            workflow.logger.warn(f"Message dropped due to chat closed: {prompt}")
+            workflow.logger.warning(f"Message dropped due to chat closed: {prompt}")
             return
         self.prompt_queue.append(prompt)
 
@@ -218,12 +215,14 @@ class AgentGoalWorkflow:
     async def confirm(self) -> None:
         """Signal handler for user confirmation of tool execution."""
         workflow.logger.info("Received user confirmation")
+        workflow.logger.warning(f"signal recieved: confirm")
         self.confirm = True
 
     #Signal that comes from api/main.py via a post to /end-chat
     @workflow.signal
     async def end_chat(self) -> None:
         """Signal handler for ending the chat session."""
+        workflow.logger.warning("signal received: end_chat")
         self.chat_ended = True
 
     @workflow.query

From 02a63917b2926a7201774d01b87b22d2974a4714 Mon Sep 17 00:00:00 2001
From: Laine <lainelminor@gmail.com>
Date: Wed, 12 Mar 2025 12:49:00 -0400
Subject: [PATCH 25/98] Part of one of making confirmation optional -
 auto-confirm but still show everything

---
 workflows/agent_goal_workflow.py | 25 +++++++++++++++----------
 1 file changed, 15 insertions(+), 10 deletions(-)

diff --git a/workflows/agent_goal_workflow.py b/workflows/agent_goal_workflow.py
index accc1ae..bb79adc 100644
--- a/workflows/agent_goal_workflow.py
+++ b/workflows/agent_goal_workflow.py
@@ -26,7 +26,11 @@ with workflow.unsafe.imports_passed_through():
 # Constants
 MAX_TURNS_BEFORE_CONTINUE = 250
 
-SHOW_CONFIRM = os.getenv("SHOW_CONFIRM", True)
+SHOW_CONFIRM = True
+show_confirm_env = os.getenv("SHOW_CONFIRM")
+if show_confirm_env is not None:
+    if show_confirm_env == "Off":
+        SHOW_CONFIRM = False
 
 class ToolData(TypedDict, total=False):
     next: NextStep
@@ -51,6 +55,7 @@ class AgentGoalWorkflow:
     # see ../api/main.py#temporal_client.start_workflow() for how the input parameters are set
     @workflow.run
     async def run(self, combined_input: CombinedInput) -> str:
+
         """Main workflow execution method."""
         # setup phase, starts with blank tool_params and agent_goal prompt as defined in tools/goal_registry.py
         params = combined_input.tool_params
@@ -84,7 +89,7 @@ class AgentGoalWorkflow:
                 workflow.logger.info("Chat ended.")
                 return f"{self.conversation_history}"
 
-            # user has confirmed, now actually execute the tool 
+            # Execute the tool 
             if self.confirm and waiting_for_confirm and current_tool and self.tool_data:
                 workflow.logger.warning(f"workflow step: user has confirmed, executing the tool {current_tool}")
                 self.confirm = False
@@ -103,8 +108,6 @@ class AgentGoalWorkflow:
                     self.prompt_queue
                 )
 
-                workflow.logger.warning(f"tool_results keys: {self.tool_results[-1].keys()}")
-                workflow.logger.warning(f"tool_results values: {self.tool_results[-1].values()}")
                 #set new goal if we should
                 if len(self.tool_results) > 0:
                     if "ChangeGoal" in self.tool_results[-1].values() and "new_goal" in self.tool_results[-1].keys():
@@ -165,28 +168,30 @@ class AgentGoalWorkflow:
                 next_step = tool_data.get("next")
                 current_tool = tool_data.get("tool")
 
+                workflow.logger.warning(f"next_step: {next_step}, current tool is {current_tool}")
                 #if the next step is to confirm...
                 if next_step == "confirm" and current_tool:
-                    workflow.logger.warning(f"next_step: confirm, current tool is {current_tool}")
                     args = tool_data.get("args", {})
                     #if we're missing arguments, go back to the top of the loop
                     if await helpers.handle_missing_args(current_tool, args, tool_data, self.prompt_queue):
                         continue
 
-                    #...otherwise, set up the request for user confirmation
+                    #...otherwise, if we want to force the user to confirm, set that up
                     waiting_for_confirm = True
-                    self.confirm = False
-                    workflow.logger.info("Waiting for user confirm signal...")
+                    if SHOW_CONFIRM:
+                        self.confirm = False
+                        workflow.logger.info("Waiting for user confirm signal...")
+                    else:
+                        #theory - set self.confirm to true bc that's the signal, so we can get around the signal??
+                        self.confirm = True
 
                 # else if the next step is to pick a new goal...
                 elif next_step == "pick-new-goal":
                     workflow.logger.info("All steps completed. Resetting goal.")
-                    workflow.logger.warning("next_step = pick-new-goal, setting goal to goal_choose_agent_type")
                     self.change_goal("goal_choose_agent_type")
                 
                 # else if the next step is to be done - this should only happen if the user requests it via "end conversation"
                 elif next_step == "done":
-                    workflow.logger.warning("next_step = done")
                     self.add_message("agent", tool_data)
                     # end the workflow
                     return str(self.conversation_history)

From 1a270fa917c2ccc771825d7ab8cee1881a426c70 Mon Sep 17 00:00:00 2001
From: Laine <lainelminor@gmail.com>
Date: Wed, 12 Mar 2025 12:50:02 -0400
Subject: [PATCH 26/98] Forgot the env.example...

---
 .env.example | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/.env.example b/.env.example
index a1a1944..4701495 100644
--- a/.env.example
+++ b/.env.example
@@ -37,3 +37,6 @@ OPENAI_API_KEY=sk-proj-...
 
 # Agent Goal Configuration
 # AGENT_GOAL=goal_event_flight_invoice  # (default) or goal_match_train_invoice
+
+# Set if the UI should force a user confirmation step or not
+SHOW_CONFIRM=True
\ No newline at end of file

From a488bbac23b4123d960f59640080ea1f1d2ec662 Mon Sep 17 00:00:00 2001
From: Laine <lainelminor@gmail.com>
Date: Wed, 12 Mar 2025 12:50:44 -0400
Subject: [PATCH 27/98] Use False, not Off

---
 workflows/agent_goal_workflow.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/workflows/agent_goal_workflow.py b/workflows/agent_goal_workflow.py
index bb79adc..cf780b4 100644
--- a/workflows/agent_goal_workflow.py
+++ b/workflows/agent_goal_workflow.py
@@ -29,7 +29,7 @@ MAX_TURNS_BEFORE_CONTINUE = 250
 SHOW_CONFIRM = True
 show_confirm_env = os.getenv("SHOW_CONFIRM")
 if show_confirm_env is not None:
-    if show_confirm_env == "Off":
+    if show_confirm_env == "False":
         SHOW_CONFIRM = False
 
 class ToolData(TypedDict, total=False):

From 380581b0d9cf9b193c6e236dc9a8b1f9fe914ff3 Mon Sep 17 00:00:00 2001
From: Laine <lainelminor@gmail.com>
Date: Wed, 12 Mar 2025 13:22:04 -0400
Subject: [PATCH 28/98] Part two of making confirmation optional - add flag to
 ToolData so the button won't show in the UI

---
 frontend/src/components/LLMResponse.jsx | 2 +-
 workflows/agent_goal_workflow.py        | 3 +++
 2 files changed, 4 insertions(+), 1 deletion(-)

diff --git a/frontend/src/components/LLMResponse.jsx b/frontend/src/components/LLMResponse.jsx
index feedbf7..33de334 100644
--- a/frontend/src/components/LLMResponse.jsx
+++ b/frontend/src/components/LLMResponse.jsx
@@ -27,7 +27,7 @@ const LLMResponse = memo(({ data, onConfirm, isLastMessage, onHeightChange }) =>
         : data?.response;
 
     const displayText = (response || '').trim();
-    const requiresConfirm = data.next === "confirm" && isLastMessage;
+    const requiresConfirm = data.force_confirm && data.next === "confirm" && isLastMessage;
     const defaultText = requiresConfirm 
         ? `Agent is ready to run "${data.tool}". Please confirm.` 
         : '';
diff --git a/workflows/agent_goal_workflow.py b/workflows/agent_goal_workflow.py
index cf780b4..3f73866 100644
--- a/workflows/agent_goal_workflow.py
+++ b/workflows/agent_goal_workflow.py
@@ -32,11 +32,13 @@ if show_confirm_env is not None:
     if show_confirm_env == "False":
         SHOW_CONFIRM = False
 
+#ToolData as part of the workflow is what's accessible to the UI - see LLMResponse.jsx for example
 class ToolData(TypedDict, total=False):
     next: NextStep
     tool: str
     args: Dict[str, Any]
     response: str
+    force_confirm: bool = True
 
 @workflow.defn
 class AgentGoalWorkflow:
@@ -162,6 +164,7 @@ class AgentGoalWorkflow:
                         initial_interval=timedelta(seconds=5), backoff_coefficient=1
                     ),
                 )
+                tool_data["force_confirm"] = SHOW_CONFIRM
                 self.tool_data = tool_data
 
                 # process the tool as dictated by the prompt response - what to do next, and with which tool

From d807e9893d03ed230a8de1306560219c07e359b4 Mon Sep 17 00:00:00 2001
From: Joshua Smith <joshmsmith@gmail.com>
Date: Wed, 12 Mar 2025 13:37:04 -0400
Subject: [PATCH 29/98] updates to readme, docs, guides

---
 README.md                                     | 196 ++----------------
 architecture.md                               |  12 ++
 assets/Architecture_elements.png              | Bin 0 -> 40166 bytes
 .../agent-youtube-screenshot.jpeg             | Bin
 assets/ai_agent_architecture_model.png        | Bin 0 -> 147592 bytes
 setup.md                                      | 176 ++++++++++++++++
 todo.md                                       |  53 +++--
 7 files changed, 235 insertions(+), 202 deletions(-)
 create mode 100644 architecture.md
 create mode 100644 assets/Architecture_elements.png
 rename agent-youtube-screenshot.jpeg => assets/agent-youtube-screenshot.jpeg (100%)
 create mode 100644 assets/ai_agent_architecture_model.png
 create mode 100644 setup.md

diff --git a/README.md b/README.md
index fd070f2..236f468 100644
--- a/README.md
+++ b/README.md
@@ -2,191 +2,29 @@
 
 This demo shows a multi-turn conversation with an AI agent running inside a Temporal workflow. The purpose of the agent is to collect information towards a goal, running tools along the way. There's a simple DSL input for collecting information (currently set up to use mock functions to search for public events, search for flights around those events, then create a test Stripe invoice for the trip).
 
-The AI will respond with clarifications and ask for any missing information to that goal. You can configure it to use [ChatGPT 4o](https://openai.com/index/hello-gpt-4o/), [Anthropic Claude](https://www.anthropic.com/claude), [Google Gemini](https://gemini.google.com), [Deepseek-V3](https://www.deepseek.com/) or a local LLM of your choice using [Ollama](https://ollama.com).
+The AI will respond with clarifications and ask for any missing information to that goal. You can configure it to use [ChatGPT 4o](https://openai.com/index/hello-gpt-4o/), [Anthropic Claude](https://www.anthropic.com/claude), [Google Gemini](https://gemini.google.com), [Deepseek-V3](https://www.deepseek.com/), [Grok](https://docs.x.ai/docs/overview) or a local LLM of your choice using [Ollama](https://ollama.com).
 
-[Watch the demo (5 minute YouTube video)](https://www.youtube.com/watch?v=GEXllEH2XiQ)
+It's really helpful to [watch the demo (5 minute YouTube video)](https://www.youtube.com/watch?v=GEXllEH2XiQ) to understand how interaction works.
 
-[![Watch the demo](./agent-youtube-screenshot.jpeg)](https://www.youtube.com/watch?v=GEXllEH2XiQ)
+[![Watch the demo](./assets/agent-youtube-screenshot.jpeg)](https://www.youtube.com/watch?v=GEXllEH2XiQ)
 
-## Configuration
+## Setup and Configuration
+See [the Setup guide](./setup.md).
 
-This application uses `.env` files for configuration. Copy the [.env.example](.env.example) file to `.env` and update the values:
+## Interaction
+TODO
 
-```bash
-cp .env.example .env
-```
+## Architecture
+See [the architecture guide](./architecture.md).
 
-### Agent Goal Configuration
-
-The agent can be configured to pursue different goals using the `AGENT_GOAL` environment variable in your `.env` file.
-
-#### Goal: Find an event in Australia / New Zealand, book flights to it and invoice the user for the cost
-- `AGENT_GOAL=goal_event_flight_invoice` (default) - Helps users find events, book flights, and arrange train travel with invoice generation
-    - This is the scenario in the video above
-
-#### Goal: Find a Premier League match, book train tickets to it and invoice the user for the cost
-- `AGENT_GOAL=goal_match_train_invoice` - Focuses on Premier League match attendance with train booking and invoice generation
-    - This is a new goal that is part of an upcoming conference talk
-
-If not specified, the agent defaults to `goal_event_flight_invoice`. Each goal comes with its own set of tools and conversation flows designed for specific use cases. You can examine `tools/goal_registry.py` to see the detailed configuration of each goal.
-
-See the next section for tool configuration for each goal.
-
-### Tool Configuration
-
-#### Agent Goal: goal_event_flight_invoice (default)
-* The agent uses a mock function to search for events. This has zero configuration.
-* By default the agent uses a mock function to search for flights.
-    * If you want to use the real flights API, go to `tools/search_flights.py` and replace the `search_flights` function with `search_flights_real_api` that exists in the same file.
-    * It's free to sign up at [RapidAPI](https://rapidapi.com/apiheya/api/sky-scrapper)
-    * This api might be slow to respond, so you may want to increase the start to close timeout, `TOOL_ACTIVITY_START_TO_CLOSE_TIMEOUT` in `workflows/workflow_helpers.py`
-* Requires a Stripe key for the `create_invoice` tool. Set this in the `STRIPE_API_KEY` environment variable in .env
-    * It's free to sign up and get a key at [Stripe](https://stripe.com/)
-    * If you're lazy go to `tools/create_invoice.py` and replace the `create_invoice` function with the mock `create_invoice_example` that exists in the same file.
-
-#### Agent Goal: goal_match_train_invoice
-
-* Finding a match requires a key from [Football Data](https://www.football-data.org). Sign up for a free account, then see the 'My Account' page to get your API token. Set `FOOTBALL_DATA_API_KEY` to this value.
-    * If you're lazy go to `tools/search_fixtures.py` and replace the `search_fixtures` function with the mock `search_fixtures_example` that exists in the same file.
-* We use a mock function to search for trains. Start the train API server to use the real API: `python thirdparty/train_api.py`
-* * The train activity is 'enterprise' so it's written in C# and requires a .NET runtime. See the [.NET backend](#net-(enterprise)-backend) section for details on running it.
-* Requires a Stripe key for the `create_invoice` tool. Set this in the `STRIPE_API_KEY` environment variable in .env
-    * It's free to sign up and get a key at [Stripe](https://stripe.com/)
-    * If you're lazy go to `tools/create_invoice.py` and replace the `create_invoice` function with the mock `create_invoice_example` that exists in the same file.
-
-### LLM Provider Configuration
-
-The agent can use OpenAI's GPT-4o, Google Gemini, Anthropic Claude, or a local LLM via Ollama. Set the `LLM_PROVIDER` environment variable in your `.env` file to choose the desired provider:
-
-- `LLM_PROVIDER=openai` for OpenAI's GPT-4o
-- `LLM_PROVIDER=google` for Google Gemini
-- `LLM_PROVIDER=anthropic` for Anthropic Claude
-- `LLM_PROVIDER=deepseek` for DeepSeek-V3
-- `LLM_PROVIDER=ollama` for running LLMs via [Ollama](https://ollama.ai) (not recommended for this use case)
-
-### Option 1: OpenAI
-
-If using OpenAI, ensure you have an OpenAI key for the GPT-4o model. Set this in the `OPENAI_API_KEY` environment variable in `.env`.
-
-### Option 2: Google Gemini
-
-To use Google Gemini:
-
-1. Obtain a Google API key and set it in the `GOOGLE_API_KEY` environment variable in `.env`.
-2. Set `LLM_PROVIDER=google` in your `.env` file.
-
-### Option 3: Anthropic Claude (recommended)
-
-I find that Claude Sonnet 3.5 performs better than the other hosted LLMs for this use case.
-
-To use Anthropic:
-
-1. Obtain an Anthropic API key and set it in the `ANTHROPIC_API_KEY` environment variable in `.env`.
-2. Set `LLM_PROVIDER=anthropic` in your `.env` file.
-
-### Option 4: Deepseek-V3
-
-To use Deepseek-V3:
-
-1. Obtain a Deepseek API key and set it in the `DEEPSEEK_API_KEY` environment variable in `.env`.
-2. Set `LLM_PROVIDER=deepseek` in your `.env` file.
-
-### Option 5: Local LLM via Ollama (not recommended)
-
-To use a local LLM with Ollama:
-
-1. Install [Ollama](https://ollama.com) and the [Qwen2.5 14B](https://ollama.com/library/qwen2.5) model.
-   - Run `ollama run <OLLAMA_MODEL_NAME>` to start the model. Note that this model is about 9GB to download.
-   - Example: `ollama run qwen2.5:14b`
-
-2. Set `LLM_PROVIDER=ollama` in your `.env` file and `OLLAMA_MODEL_NAME` to the name of the model you installed.
-
-Note: I found the other (hosted) LLMs to be MUCH more reliable for this use case. However, you can switch to Ollama if desired, and choose a suitably large model if your computer has the resources.
-
-## Configuring Temporal Connection
-
-By default, this application will connect to a local Temporal server (`localhost:7233`) in the default namespace, using the `agent-task-queue` task queue. You can override these settings in your `.env` file.
-
-### Use Temporal Cloud
-
-See [.env.example](.env.example) for details on connecting to Temporal Cloud using mTLS or API key authentication.
-
-[Sign up for Temporal Cloud](https://temporal.io/get-cloud)
-
-### Use a local Temporal Dev Server
-
-On a Mac
-```bash
-brew install temporal
-temporal server start-dev
-```
-See the [Temporal documentation](https://learn.temporal.io/getting_started/python/dev_environment/) for other platforms.
-
-
-## Running the Application
-
-### Python Backend
-
-Requires [Poetry](https://python-poetry.org/) to manage dependencies.
-
-1. `python -m venv venv`
-
-2. `source venv/bin/activate`
-
-3. `poetry install`
-
-Run the following commands in separate terminal windows:
-
-1. Start the Temporal worker:
-```bash
-poetry run python scripts/run_worker.py
-```
-
-2. Start the API server:
-```bash
-poetry run uvicorn api.main:app --reload
-```
-Access the API at `/docs` to see the available endpoints.
-
-### React UI
-Start the frontend:
-```bash
-cd frontend
-npm install
-npx vite
-```
-Access the UI at `http://localhost:5173`
-
-### Python Search Trains API
-> Agent Goal: goal_match_train_invoice only
-
-Required to search and book trains!
-```bash
-poetry run python thirdparty/train_api.py
-
-# example url
-# http://localhost:8080/api/search?from=london&to=liverpool&outbound_time=2025-04-18T09:00:00&inbound_time=2025-04-20T09:00:00
-```
-
-### .NET (enterprise) Backend ;)
-> Agent Goal: goal_match_train_invoice only
-
-We have activities written in C# to call the train APIs.
-```bash
-cd enterprise
-dotnet build # ensure you brew install dotnet@8 first!
-dotnet run
-```
-If you're running your train API above on a different host/port then change the API URL in `Program.cs`. Otherwise, be sure to run it using `python thirdparty/train_api.py`.
-
-## Customizing the Agent
-- `tool_registry.py` contains the mapping of tool names to tool definitions (so the AI understands how to use them)
-- `goal_registry.py` contains descriptions of goals and the tools used to achieve them
-- The tools themselves are defined in their own files in `/tools`
-- Note the mapping in `tools/__init__.py` to each tool
-
-## TODO
+## Productionalization & Adding Features
 - In a prod setting, I would need to ensure that payload data is stored separately (e.g. in S3 or a noSQL db - the claim-check pattern), or otherwise 'garbage collected'. Without these techniques, long conversations will fill up the workflow's conversation history, and start to breach Temporal event history payload limits.
 - Continue-as-new shouldn't be a big consideration for this use case (as it would take many conversational turns to trigger). Regardless, I should ensure that it's able to carry the agent state over to the new workflow execution.
 - Perhaps the UI should show when the LLM response is being retried (i.e. activity retry attempt because the LLM provided bad output)
-- Tests would be nice!
\ No newline at end of file
+- Tests would be nice!
+See [the todo](./todo.md) for more details.
+
+See Customization for more details. <-- TODO
+
+## For Temporal SAs
+Check out the [slides](https://docs.google.com/presentation/d/1wUFY4v17vrtv8llreKEBDPLRtZte3FixxBUn0uWy5NU/edit#slide=id.g3333e5deaa9_0_0) here and the enablement guide here (TODO).
diff --git a/architecture.md b/architecture.md
new file mode 100644
index 0000000..f1a5d7b
--- /dev/null
+++ b/architecture.md
@@ -0,0 +1,12 @@
+# Elements
+![Architecture Elements](./assets/Architecture_elements.png "Architecture Elements")
+
+talk through the pieces
+
+# Architecture Model
+![Architecture](./assets/ai_agent_architecture_model.png "Architecture Model")
+
+explain elements
+
+# Adding features
+link to how to LLM interactions/how to change
\ No newline at end of file
diff --git a/assets/Architecture_elements.png b/assets/Architecture_elements.png
new file mode 100644
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diff --git a/setup.md b/setup.md
new file mode 100644
index 0000000..5f20618
--- /dev/null
+++ b/setup.md
@@ -0,0 +1,176 @@
+## Configuration
+
+This application uses `.env` files for configuration. Copy the [.env.example](.env.example) file to `.env` and update the values:
+
+```bash
+cp .env.example .env
+```
+
+### Agent Goal Configuration
+
+The agent can be configured to pursue different goals using the `AGENT_GOAL` environment variable in your `.env` file.
+
+#### Goal: Find an event in Australia / New Zealand, book flights to it and invoice the user for the cost
+- `AGENT_GOAL=goal_event_flight_invoice` (default) - Helps users find events, book flights, and arrange train travel with invoice generation
+    - This is the scenario in the video above
+
+#### Goal: Find a Premier League match, book train tickets to it and invoice the user for the cost
+- `AGENT_GOAL=goal_match_train_invoice` - Focuses on Premier League match attendance with train booking and invoice generation
+    - This is a new goal that is part of an upcoming conference talk
+
+If not specified, the agent defaults to `goal_event_flight_invoice`. Each goal comes with its own set of tools and conversation flows designed for specific use cases. You can examine `tools/goal_registry.py` to see the detailed configuration of each goal.
+
+See the next section for tool configuration for each goal.
+
+### Tool Configuration
+
+#### Agent Goal: goal_event_flight_invoice (default)
+* The agent uses a mock function to search for events. This has zero configuration.
+* By default the agent uses a mock function to search for flights.
+    * If you want to use the real flights API, go to `tools/search_flights.py` and replace the `search_flights` function with `search_flights_real_api` that exists in the same file.
+    * It's free to sign up at [RapidAPI](https://rapidapi.com/apiheya/api/sky-scrapper)
+    * This api might be slow to respond, so you may want to increase the start to close timeout, `TOOL_ACTIVITY_START_TO_CLOSE_TIMEOUT` in `workflows/workflow_helpers.py`
+* Requires a Stripe key for the `create_invoice` tool. Set this in the `STRIPE_API_KEY` environment variable in .env
+    * It's free to sign up and get a key at [Stripe](https://stripe.com/)
+    * If you're lazy go to `tools/create_invoice.py` and replace the `create_invoice` function with the mock `create_invoice_example` that exists in the same file.
+
+#### Agent Goal: goal_match_train_invoice
+
+* Finding a match requires a key from [Football Data](https://www.football-data.org). Sign up for a free account, then see the 'My Account' page to get your API token. Set `FOOTBALL_DATA_API_KEY` to this value.
+    * If you're lazy go to `tools/search_fixtures.py` and replace the `search_fixtures` function with the mock `search_fixtures_example` that exists in the same file.
+* We use a mock function to search for trains. Start the train API server to use the real API: `python thirdparty/train_api.py`
+* * The train activity is 'enterprise' so it's written in C# and requires a .NET runtime. See the [.NET backend](#net-(enterprise)-backend) section for details on running it.
+* Requires a Stripe key for the `create_invoice` tool. Set this in the `STRIPE_API_KEY` environment variable in .env
+    * It's free to sign up and get a key at [Stripe](https://stripe.com/)
+    * If you're lazy go to `tools/create_invoice.py` and replace the `create_invoice` function with the mock `create_invoice_example` that exists in the same file.
+
+### LLM Provider Configuration
+
+The agent can use OpenAI's GPT-4o, Google Gemini, Anthropic Claude, or a local LLM via Ollama. Set the `LLM_PROVIDER` environment variable in your `.env` file to choose the desired provider:
+
+- `LLM_PROVIDER=openai` for OpenAI's GPT-4o
+- `LLM_PROVIDER=google` for Google Gemini
+- `LLM_PROVIDER=anthropic` for Anthropic Claude
+- `LLM_PROVIDER=deepseek` for DeepSeek-V3
+- `LLM_PROVIDER=ollama` for running LLMs via [Ollama](https://ollama.ai) (not recommended for this use case)
+
+### Option 1: OpenAI
+
+If using OpenAI, ensure you have an OpenAI key for the GPT-4o model. Set this in the `OPENAI_API_KEY` environment variable in `.env`.
+
+### Option 2: Google Gemini
+
+To use Google Gemini:
+
+1. Obtain a Google API key and set it in the `GOOGLE_API_KEY` environment variable in `.env`.
+2. Set `LLM_PROVIDER=google` in your `.env` file.
+
+### Option 3: Anthropic Claude (recommended)
+
+I find that Claude Sonnet 3.5 performs better than the other hosted LLMs for this use case.
+
+To use Anthropic:
+
+1. Obtain an Anthropic API key and set it in the `ANTHROPIC_API_KEY` environment variable in `.env`.
+2. Set `LLM_PROVIDER=anthropic` in your `.env` file.
+
+### Option 4: Deepseek-V3
+
+To use Deepseek-V3:
+
+1. Obtain a Deepseek API key and set it in the `DEEPSEEK_API_KEY` environment variable in `.env`.
+2. Set `LLM_PROVIDER=deepseek` in your `.env` file.
+
+### Option 5: Local LLM via Ollama (not recommended)
+
+To use a local LLM with Ollama:
+
+1. Install [Ollama](https://ollama.com) and the [Qwen2.5 14B](https://ollama.com/library/qwen2.5) model.
+   - Run `ollama run <OLLAMA_MODEL_NAME>` to start the model. Note that this model is about 9GB to download.
+   - Example: `ollama run qwen2.5:14b`
+
+2. Set `LLM_PROVIDER=ollama` in your `.env` file and `OLLAMA_MODEL_NAME` to the name of the model you installed.
+
+Note: I found the other (hosted) LLMs to be MUCH more reliable for this use case. However, you can switch to Ollama if desired, and choose a suitably large model if your computer has the resources.
+
+## Configuring Temporal Connection
+
+By default, this application will connect to a local Temporal server (`localhost:7233`) in the default namespace, using the `agent-task-queue` task queue. You can override these settings in your `.env` file.
+
+### Use Temporal Cloud
+
+See [.env.example](.env.example) for details on connecting to Temporal Cloud using mTLS or API key authentication.
+
+[Sign up for Temporal Cloud](https://temporal.io/get-cloud)
+
+### Use a local Temporal Dev Server
+
+On a Mac
+```bash
+brew install temporal
+temporal server start-dev
+```
+See the [Temporal documentation](https://learn.temporal.io/getting_started/python/dev_environment/) for other platforms.
+
+
+## Running the Application
+
+### Python Backend
+
+Requires [Poetry](https://python-poetry.org/) to manage dependencies.
+
+1. `python -m venv venv`
+
+2. `source venv/bin/activate`
+
+3. `poetry install`
+
+Run the following commands in separate terminal windows:
+
+1. Start the Temporal worker:
+```bash
+poetry run python scripts/run_worker.py
+```
+
+2. Start the API server:
+```bash
+poetry run uvicorn api.main:app --reload
+```
+Access the API at `/docs` to see the available endpoints.
+
+### React UI
+Start the frontend:
+```bash
+cd frontend
+npm install
+npx vite
+```
+Access the UI at `http://localhost:5173`
+
+### Python Search Trains API
+> Agent Goal: goal_match_train_invoice only
+
+Required to search and book trains!
+```bash
+poetry run python thirdparty/train_api.py
+
+# example url
+# http://localhost:8080/api/search?from=london&to=liverpool&outbound_time=2025-04-18T09:00:00&inbound_time=2025-04-20T09:00:00
+```
+
+### .NET (enterprise) Backend ;)
+> Agent Goal: goal_match_train_invoice only
+
+We have activities written in C# to call the train APIs.
+```bash
+cd enterprise
+dotnet build # ensure you brew install dotnet@8 first!
+dotnet run
+```
+If you're running your train API above on a different host/port then change the API URL in `Program.cs`. Otherwise, be sure to run it using `python thirdparty/train_api.py`.
+
+## Customizing the Agent
+- `tool_registry.py` contains the mapping of tool names to tool definitions (so the AI understands how to use them)
+- `goal_registry.py` contains descriptions of goals and the tools used to achieve them
+- The tools themselves are defined in their own files in `/tools`
+- Note the mapping in `tools/__init__.py` to each tool
\ No newline at end of file
diff --git a/todo.md b/todo.md
index a63530a..46b59cb 100644
--- a/todo.md
+++ b/todo.md
@@ -1,36 +1,43 @@
 # todo list
-[x] multi-goal <br />
-    [x] set goal to list agents when done <br />
-    [x] make this better/smoother <br />
-
 [ ] clean up workflow/make functions
 
 [ ] make the debugging confirms optional <br />
-[ ] grok integration <br />
-[ ] document *why* temporal for ai agents - scalability, durability in the readme <br />
+ <br />
+[ ] document *why* temporal for ai agents - scalability, durability, visibility in the readme <br />
 [ ] fix readme: move setup to its own page, demo to its own page, add the why /|\ section <br />
 [ ] add architecture to readme <br />
+- elements of app <br />
+- dive into llm interaction <br />
+- workflow breakdown - interactive loop <br />
+- why temporal <br />
+
+[ ] setup readme, why readme, architecture readme, what this is in main readme with temporal value props and pictures <br />
+[ ] how to add more scenarios, tools <br />
+ <br />
+ <br />
 [ ] create tests<br />
 
 [ ] create people management scenario <br />
-  -- check pay status
-  -- book work travel
-  -- check PTO levels
-  -- check insurance coverages
-  -- book PTO around a date (https://developers.google.com/calendar/api/guides/overview)? 
-  -- scenario should use multiple tools
-  -- expense management
-  -- check in on the health of the team
-[ ] demo the reasons why:
-  -- Orchestrate interactions across distributed data stores and tools
-  -- Hold state, potentially over long periods of time
-  -- Ability to ‘self-heal’ and retry until the (probabilistic) LLM returns valid data
-  -- Support for human intervention such as approvals
-  -- Parallel processing for efficiency of data retrieval and tool use
-  -- Insight into the agent’s performance
+- check pay status <br />
+- book work travel <br />
+- check PTO levels <br />
+- check insurance coverages <br />
+- book PTO around a date (https://developers.google.com/calendar/api/guides/overview)?  <br />
+- scenario should use multiple tools <br />
+- expense management <br />
+- check in on the health of the team <br />
+
+[ ] demo the reasons why: <br />
+- Orchestrate interactions across distributed data stores and tools <br />
+- Hold state, potentially over long periods of time <br />
+- Ability to ‘self-heal’ and retry until the (probabilistic) LLM returns valid data <br />
+- Support for human intervention such as approvals <br />
+- Parallel processing for efficiency of data retrieval and tool use <br />
+- Insight into the agent’s performance <br />
+    - ask the ai agent how it did at the end of the conversation, was it efficient? successful? insert a search attribute to document that before return
 
 [ ] customize prompts in [workflow to manage scenario](./workflows/tool_workflow.py)<br />
 [ ] add in new tools? <br />
 
-[ ] non-retry the api key error - "Invalid API Key provided: sk_test_**J..." and "AuthenticationError"
-[ ] make it so you can yeet yourself out of a goal and pick a new one
+[ ] non-retry the api key error - "Invalid API Key provided: sk_test_**J..." and "AuthenticationError" <br />
+[ ] make it so you can yeet yourself out of a goal and pick a new one <br />

From 291bace53da442c6ee760dba829e3c6cef529e56 Mon Sep 17 00:00:00 2001
From: Joshua Smith <joshmsmith@gmail.com>
Date: Wed, 12 Mar 2025 13:50:40 -0400
Subject: [PATCH 30/98] formatting readme

---
 README.md | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 236f468..071bd08 100644
--- a/README.md
+++ b/README.md
@@ -11,7 +11,7 @@ It's really helpful to [watch the demo (5 minute YouTube video)](https://www.you
 ## Setup and Configuration
 See [the Setup guide](./setup.md).
 
-## Interaction
+## Customizing Interaction & Tools
 TODO
 
 ## Architecture
@@ -22,6 +22,7 @@ See [the architecture guide](./architecture.md).
 - Continue-as-new shouldn't be a big consideration for this use case (as it would take many conversational turns to trigger). Regardless, I should ensure that it's able to carry the agent state over to the new workflow execution.
 - Perhaps the UI should show when the LLM response is being retried (i.e. activity retry attempt because the LLM provided bad output)
 - Tests would be nice!
+
 See [the todo](./todo.md) for more details.
 
 See Customization for more details. <-- TODO

From ea1ad383bb5fa0c05a3ab1471bc8b6cacaafbe18 Mon Sep 17 00:00:00 2001
From: Laine <lainelminor@gmail.com>
Date: Wed, 12 Mar 2025 16:54:13 -0400
Subject: [PATCH 31/98] Add in bare bones yet functional HR goal:
 goal_hr_schedule_pto

---
 adding-goals-and-tools.md  | 71 ++++++++++++++++++++++++++++++++++
 todo.md                    | 25 ++++++------
 tools/__init__.py          | 13 +++++++
 tools/book_pto.py          |  9 +++++
 tools/calendar_conflict.py | 17 +++++++++
 tools/current_pto.py       | 14 +++++++
 tools/future_pto.py        | 17 +++++++++
 tools/goal_registry.py     | 78 +++++++++++++++++++++++++++++++-------
 tools/tool_registry.py     | 71 ++++++++++++++++++++++++++++++++++
 9 files changed, 290 insertions(+), 25 deletions(-)
 create mode 100644 adding-goals-and-tools.md
 create mode 100644 tools/book_pto.py
 create mode 100644 tools/calendar_conflict.py
 create mode 100644 tools/current_pto.py
 create mode 100644 tools/future_pto.py

diff --git a/adding-goals-and-tools.md b/adding-goals-and-tools.md
new file mode 100644
index 0000000..57a8517
--- /dev/null
+++ b/adding-goals-and-tools.md
@@ -0,0 +1,71 @@
+## Customizing the Agent
+The agent is set up to allow for multiple goals and to switch back to choosing a new goal at the end of every successful goal. A goal is made up of a list of tools that the agent will guide the user through. 
+
+### Adding a Goal
+1.  Open [/tools/goal_registry.py](tools/goal_registry.py) - this file contains descriptions of goals and the tools used to achieve them
+2. Pick a name for your goal!
+3. Fill out the required elements:
+-  `id`: needs to be the same as the name
+- `agent_name`: user-facing name for the agent/chatbot
+- `agent_friendly_description`: user-facing description of what the agent/chatbot does
+- `tools`: the list of tools the goal will walk the user through. 
+- Important! The last tool listed must be `list_agents_tool`
+- `description`:
+- `starter-prompt`:
+- `example_conversation_history`:
+4. Add your new goal to the `goal_list` at the bottom using `goal_list.append(your_super_sweet_new_goal)`
+
+### Adding Tools
+
+#### Add to Tool Registry
+- `tool_registry.py` contains the mapping of tool names to tool definitions (so the AI understands how to use them)
+- `name`:
+- `description`:
+- `arguments`: These are the _input_ arguments to the tool.
+
+#### Create Each Tool
+- The tools themselves are defined in their own files in `/tools` - you can add a subfolder to organize them
+- The file name and function name will be the same as each other and should also be the same as the name of the tool, without "tool" - so future_pto_tool would be future_pto.py with a function named future_pto within it.
+- The function should have `args: dict` as the input and also return a `dict`
+- The return dict should match the output format you specified in the goal's `example_conversation_history`
+
+#### Add to `tools/__init__.py`
+- In `tools/__init__.py`, add an import statement for each new tool as well as an applicable return statement in `get_handler`. The tool name here should match the tool name as described in the goal's `description` field.
+
+### Configuring the Starting Goal
+
+The agent can be configured to pursue different goals using the `AGENT_GOAL` environment variable in your `.env` file.
+
+#### Goal: Find an event in Australia / New Zealand, book flights to it and invoice the user for the cost
+- `AGENT_GOAL=goal_event_flight_invoice` (default) - Helps users find events, book flights, and arrange train travel with invoice generation
+    - This is the scenario in the video above
+
+#### Goal: Find a Premier League match, book train tickets to it and invoice the user for the cost
+- `AGENT_GOAL=goal_match_train_invoice` - Focuses on Premier League match attendance with train booking and invoice generation
+    - This is a new goal that is part of an upcoming conference talk
+
+If not specified, the agent defaults to `goal_event_flight_invoice`. Each goal comes with its own set of tools and conversation flows designed for specific use cases. You can examine `tools/goal_registry.py` to see the detailed configuration of each goal.
+
+See the next section for tool configuration for each goal.
+
+### Configuring Existing Tools
+
+#### Agent Goal: goal_event_flight_invoice (default)
+* The agent uses a mock function to search for events. This has zero configuration.
+* By default the agent uses a mock function to search for flights.
+    * If you want to use the real flights API, go to `tools/search_flights.py` and replace the `search_flights` function with `search_flights_real_api` that exists in the same file.
+    * It's free to sign up at [RapidAPI](https://rapidapi.com/apiheya/api/sky-scrapper)
+    * This api might be slow to respond, so you may want to increase the start to close timeout, `TOOL_ACTIVITY_START_TO_CLOSE_TIMEOUT` in `workflows/workflow_helpers.py`
+* Requires a Stripe key for the `create_invoice` tool. Set this in the `STRIPE_API_KEY` environment variable in .env
+    * It's free to sign up and get a key at [Stripe](https://stripe.com/)
+    * If you're lazy go to `tools/create_invoice.py` and replace the `create_invoice` function with the mock `create_invoice_example` that exists in the same file.
+
+#### Agent Goal: goal_match_train_invoice
+
+* Finding a match requires a key from [Football Data](https://www.football-data.org). Sign up for a free account, then see the 'My Account' page to get your API token. Set `FOOTBALL_DATA_API_KEY` to this value.
+    * If you're lazy go to `tools/search_fixtures.py` and replace the `search_fixtures` function with the mock `search_fixtures_example` that exists in the same file.
+* We use a mock function to search for trains. Start the train API server to use the real API: `python thirdparty/train_api.py`
+* * The train activity is 'enterprise' so it's written in C# and requires a .NET runtime. See the [.NET backend](#net-(enterprise)-backend) section for details on running it.
+* Requires a Stripe key for the `create_invoice` tool. Set this in the `STRIPE_API_KEY` environment variable in .env
+    * It's free to sign up and get a key at [Stripe](https://stripe.com/)
+    * If you're lazy go to `tools/create_invoice.py` and replace the `create_invoice` function with the mock `create_invoice_example` that exists in the same file.
\ No newline at end of file
diff --git a/todo.md b/todo.md
index d477f4c..ca4fdb2 100644
--- a/todo.md
+++ b/todo.md
@@ -13,19 +13,22 @@
 
 [ ] setup readme, why readme, architecture readme, what this is in main readme with temporal value props and pictures <br />
 [ ] how to add more scenarios, tools <br />
- <br />
- <br />
+
 [ ] create tests<br />
 
-[ ] create people management scenario <br />
-- check pay status <br />
-- book work travel <br />
-- check PTO levels <br />
-- check insurance coverages <br />
-- book PTO around a date (https://developers.google.com/calendar/api/guides/overview)?  <br />
-- scenario should use multiple tools <br />
-- expense management <br />
-- check in on the health of the team <br />
+[ ] create people management scenarios <br />
+[ ] 1. Book PTO
+-- check current PTO level <br />
+-- determine PTO available as of date <br />
+-- check for personal calendar conflicts <br />
+-- check for team calendar conflicts <br />
+-- book PTO around a date (send calendar invite?) (https://developers.google.com/calendar/api/guides/overview)? <br />
+[ ] 2. Others:
+-- check pay status <br />
+-- book work travel <br />
+-- check insurance coverages <br />
+-- expense management <br />
+-- check in on the health of the team <br />
 
 [ ] demo the reasons why: <br />
 - Orchestrate interactions across distributed data stores and tools <br />
diff --git a/tools/__init__.py b/tools/__init__.py
index 1ca7da2..89e8f74 100644
--- a/tools/__init__.py
+++ b/tools/__init__.py
@@ -8,6 +8,11 @@ from .list_agents import list_agents
 from .change_goal import change_goal
 from .transfer_control import transfer_control
 
+from .current_pto import current_pto
+from .book_pto import book_pto
+from .calendar_conflict import calendar_conflict
+from .future_pto import future_pto
+
 
 def get_handler(tool_name: str):
     if tool_name == "SearchFixtures":
@@ -28,5 +33,13 @@ def get_handler(tool_name: str):
         return change_goal
     if tool_name == "TransferControl":
         return transfer_control
+    if tool_name == "CurrentPTO":
+        return current_pto
+    if tool_name == "BookPTO":
+        return book_pto
+    if tool_name == "CalendarConflict":
+        return calendar_conflict
+    if tool_name == "FuturePTO":
+        return future_pto
 
     raise ValueError(f"Unknown tool: {tool_name}")
diff --git a/tools/book_pto.py b/tools/book_pto.py
new file mode 100644
index 0000000..4d4b821
--- /dev/null
+++ b/tools/book_pto.py
@@ -0,0 +1,9 @@
+def book_pto(args: dict) -> dict:
+    
+    email = args.get("email")
+    start_date = args.get("start_date")
+    end_date = args.get("end_date")
+
+    return {
+        "status": "success"
+    }
diff --git a/tools/calendar_conflict.py b/tools/calendar_conflict.py
new file mode 100644
index 0000000..00b190c
--- /dev/null
+++ b/tools/calendar_conflict.py
@@ -0,0 +1,17 @@
+def calendar_conflict(args: dict) -> dict:
+    
+    check_self = args.get("check_self_calendar")
+    check_team = args.get("check_team_calendar")
+
+    conflict_list = []
+    conflict = {
+        "calendar": "self",
+        "title": "Meeting with Karen",
+        "date": "2025-12-02",
+        "time": "10:00AM",
+    }
+    conflict_list.append(conflict)
+
+    return {
+        "conflicts": conflict_list,
+    }
diff --git a/tools/current_pto.py b/tools/current_pto.py
new file mode 100644
index 0000000..b8d2d40
--- /dev/null
+++ b/tools/current_pto.py
@@ -0,0 +1,14 @@
+def current_pto(args: dict) -> dict:
+    
+    email = args.get("email")
+    if email == "bob.johnson@emailzzz.com":
+        num_hours = 40
+    else:
+        num_hours = 20
+
+    num_days = float(num_hours/8)
+
+    return {
+        "num_hours": num_hours,
+        "num_days": num_days,
+    }
diff --git a/tools/future_pto.py b/tools/future_pto.py
new file mode 100644
index 0000000..eaf9a12
--- /dev/null
+++ b/tools/future_pto.py
@@ -0,0 +1,17 @@
+def future_pto(args: dict) -> dict:
+    
+    start_date = args.get("start_date")
+    end_date = args.get("end_date")
+
+    # get rate of accrual - need email?
+    # get total hrs of PTO available as of start date (accrual * time between today and start date)
+        # take into account other booked PTO??
+    # calculate number of business hours of PTO: between start date and end date
+
+    # enough_pto = total PTO as of start date - num biz hours of PTO > 0
+    # pto_hrs_remaining_after = total PTO as of start date - num biz hours of PTO
+
+    return {
+        "enough_pto": True, 
+        "pto_hrs_remaining_after": 410,
+    }
diff --git a/tools/goal_registry.py b/tools/goal_registry.py
index 39e2187..ee7dfaf 100644
--- a/tools/goal_registry.py
+++ b/tools/goal_registry.py
@@ -1,6 +1,7 @@
 from typing import List
 from models.tool_definitions import AgentGoal
-from tools.tool_registry import (
+import tools.tool_registry as tool_registry
+'''from tools.tool_registry import (
     search_fixtures_tool,
     search_flights_tool,
     search_trains_tool,
@@ -8,8 +9,12 @@ from tools.tool_registry import (
     create_invoice_tool,
     find_events_tool,
     change_goal_tool,
-    list_agents_tool
-)
+    list_agents_tool,
+    current_pto_tool,
+    future_pto_calc_tool,
+    calendar_conflict_tool,
+    book_pto_tool,
+)'''
 
 starter_prompt_generic = "Welcome me, give me a description of what you can do, then ask me for the details you need to do your job"
 
@@ -18,8 +23,8 @@ goal_choose_agent_type = AgentGoal(
     agent_name="Choose Agent",
     agent_friendly_description="Choose the type of agent to assist you today.",
     tools=[
-        list_agents_tool, 
-        change_goal_tool,
+        tool_registry.list_agents_tool, 
+        tool_registry.change_goal_tool,
     ],
     description="The user wants to choose which type of agent they will interact with. "
         "Help the user gather args for these tools, in order: "
@@ -46,11 +51,11 @@ goal_match_train_invoice = AgentGoal(
     agent_name="UK Premier League Match Trip Booking",
     agent_friendly_description="Book a trip to a city in the UK around the dates of a premier league match.",
     tools=[
-        search_fixtures_tool,
-        search_trains_tool,
-        book_trains_tool,
-        create_invoice_tool,
-        list_agents_tool, #last tool must be list_agents to fasciliate changing back to picking an agent again at the end
+        tool_registry.search_fixtures_tool,
+        tool_registry.search_trains_tool,
+        tool_registry.book_trains_tool,
+        tool_registry.create_invoice_tool,
+        tool_registry.list_agents_tool, #last tool must be list_agents to fasciliate changing back to picking an agent again at the end
     ],
     description="The user wants to book a trip to a city in the UK around the dates of a premier league match. "
     "Help the user find a premier league match to attend, search and book trains for that match and offers to invoice them for the cost of train tickets. "
@@ -93,10 +98,10 @@ goal_event_flight_invoice = AgentGoal(
     agent_name="Australia and New Zealand Event Flight Booking",
     agent_friendly_description="Book a trip to a city in Australia or New Zealand around the dates of events in that city.",    
     tools=[
-        find_events_tool,
-        search_flights_tool,
-        create_invoice_tool,
-        list_agents_tool, #last tool must be list_agents to fasciliate changing back to picking an agent again at the end
+        tool_registry.find_events_tool,
+        tool_registry.search_flights_tool,
+        tool_registry.create_invoice_tool,
+        tool_registry.list_agents_tool, #last tool must be list_agents to fasciliate changing back to picking an agent again at the end
     ],
     description="Help the user gather args for these tools in order: "
     "1. FindEvents: Find an event to travel to "
@@ -126,8 +131,53 @@ goal_event_flight_invoice = AgentGoal(
     ),
 )
 
+goal_hr_schedule_pto = AgentGoal(
+    id = "goal_hr_schedule_pto",
+    agent_name="Schedule PTO",
+    agent_friendly_description="Schedule PTO based on your available time, personal calendar, and team calendar.",   
+    tools=[
+        tool_registry.current_pto_tool,
+        tool_registry.future_pto_calc_tool,
+        tool_registry.calendar_conflict_tool,
+        tool_registry.book_pto_tool,
+        tool_registry.list_agents_tool, #last tool must be list_agents to fasciliate changing back to picking an agent again at the end
+    ],
+    description="Help the user gather args for these tools in order: "
+    "1. CurrentPTO: Tell the user how much PTO they currently have "
+    "2. FuturePTO: Tell the user how much PTO they will have as of the prospective date "
+    "3. CalendarConflict: Tell the user what conflicts if any exist around the prospective date on a list of calendars "
+    "4. BookPTO: Book PTO ",
+    starter_prompt=starter_prompt_generic,
+    example_conversation_history="\n ".join(
+        [
+            "user: I'd like to schedule some time off",
+            "agent: Sure! Let's start by determining how much PTO you currently have. May I have your email address?",
+            "user: bob.johnson@emailzzz.com",
+            "agent: Great! I can tell you how much PTO you currently have accrued.",
+            "user_confirmed_tool_run: <user clicks confirm on CurrentPTO tool>",
+            "tool_result: { 'num_hours': 400, 'num_days': 50 }",
+            "agent: You have 400 hours, or 50 days, of PTO available. What dates would you like to take your time off? ",
+            "user: Dec 1 2025 through Dec 5 2025",
+            "agent: Let's check if you'll have enough PTO accrued by Dec 1 to accomodate that.",
+            "user_confirmed_tool_run: <user clicks confirm on FuturePTO tool>"
+            'tool_result: {"enough_pto": True, "pto_hrs_remaining_after": 410}',
+            "agent: You do in fact have enough PTO to accommodate that, and will have 410 hours remaining after you come back. Do you want to check calendars for conflicts? If so, please provide one of the following: self, team, or both "
+            "user: both ",
+            "agent: Okay, checking both calendars for conflicts ",
+            "user_confirmed_tool_run: <user clicks confirm on CheckCalendarConflict tool>",
+            'tool_result: { "calendar": "self", "title": "Meeting with Karen", "date": "2025-12-02", "time": "10:00AM"}',
+            "agent: On your calendar, you have a conflict: Meeting with Karen at 10AM Dec 2, 2025. Do you want to book the PTO?"
+            "user: yes "
+            "user_confirmed_tool_run: <user clicks confirm on BookPTO tool>",
+            'tool_result: { "status": "success" }',
+            "agent: PTO successfully booked! Would you like to speak to another agent? ",
+        ]
+    ),
+)
+
 #Add the goals to a list for more generic processing, like listing available agents
 goal_list: List[AgentGoal] = []
 goal_list.append(goal_choose_agent_type)
 goal_list.append(goal_event_flight_invoice)
 goal_list.append(goal_match_train_invoice)
+goal_list.append(goal_hr_schedule_pto)
diff --git a/tools/tool_registry.py b/tools/tool_registry.py
index f80aa8b..c438282 100644
--- a/tools/tool_registry.py
+++ b/tools/tool_registry.py
@@ -142,3 +142,74 @@ find_events_tool = ToolDefinition(
         ),
     ],
 )
+
+current_pto_tool = ToolDefinition(
+    name="CurrentPTO",
+    description="Find how much PTO a user currently has accrued. "
+    "Returns the number of hours and (calculated) number of days of PTO. ",
+    arguments=[
+        ToolArgument(
+            name="email",
+            type="string",
+            description="name of user, used to look up current PTO",
+        ),
+    ],
+)
+
+future_pto_calc_tool = ToolDefinition(
+    name="FuturePTO",
+    description="Calculate if the user will have enough PTO as of their proposed date to accommodate the request. Returns a boolean enough_pto and "
+    "how many hours of PTO they will have if they take the proposed dates. ",
+    arguments=[
+        ToolArgument(
+            name="start_date",
+            type="string",
+            description="Start date of proposed PTO",
+        ),
+        ToolArgument(
+            name="end_date",
+            type="string",
+            description="End date of proposed PTO",
+        ),
+    ],
+)
+
+calendar_conflict_tool = ToolDefinition(
+    name="CalendarConflict",
+    description="Determine if the proposed PTO date(s) have conflicts. Returns list of conflicts. ",
+    arguments=[
+        ToolArgument(
+            name="check_self_calendar",
+            type="boolean",
+            description="Check self calendar for conflicts?",
+        ),
+        ToolArgument(
+            name="check_team_calendar",
+            type="boolean",
+            description="Check team calendar for conflicts?",
+        ),
+    ],
+)
+
+book_pto_tool = ToolDefinition(
+    name="BookPTO",
+    description="Book PTO start and end date. Either 1) makes calendar item, or 2) sends calendar invite to self and boss? "
+    "Returns a success indicator. ",
+    arguments=[
+        ToolArgument(
+            name="start_date",
+            type="string",
+            description="Start date of proposed PTO",
+        ),
+        ToolArgument(
+            name="end_date",
+            type="string",
+            description="End date of proposed PTO",
+        ),
+        ToolArgument(
+            name="email",
+            type="string",
+            description="Email address of user, used to look up current PTO",
+        ),
+    ],
+)
\ No newline at end of file

From 02473bb49ee091ad2e9c596439bc1ce080e904b9 Mon Sep 17 00:00:00 2001
From: Joshua Smith <joshmsmith@gmail.com>
Date: Thu, 13 Mar 2025 11:29:13 -0400
Subject: [PATCH 32/98] todo and readme updates

---
 README.md | 1 +
 todo.md   | 3 ++-
 2 files changed, 3 insertions(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 071bd08..f40bcd4 100644
--- a/README.md
+++ b/README.md
@@ -19,6 +19,7 @@ See [the architecture guide](./architecture.md).
 
 ## Productionalization & Adding Features
 - In a prod setting, I would need to ensure that payload data is stored separately (e.g. in S3 or a noSQL db - the claim-check pattern), or otherwise 'garbage collected'. Without these techniques, long conversations will fill up the workflow's conversation history, and start to breach Temporal event history payload limits.
+- A single worker can easily support many workflows - setting workflow ID differently would enable this
 - Continue-as-new shouldn't be a big consideration for this use case (as it would take many conversational turns to trigger). Regardless, I should ensure that it's able to carry the agent state over to the new workflow execution.
 - Perhaps the UI should show when the LLM response is being retried (i.e. activity retry attempt because the LLM provided bad output)
 - Tests would be nice!
diff --git a/todo.md b/todo.md
index d477f4c..b779522 100644
--- a/todo.md
+++ b/todo.md
@@ -1,7 +1,8 @@
 # todo list
 [ ] clean up workflow/make functions
 
-[ ] make the debugging confirms optional <br />
+[x] make the debugging confirms optional <br />
+[ ] add confirmation env setting to setup guide <br />
  <br />
 [ ] document *why* temporal for ai agents - scalability, durability, visibility in the readme <br />
 [ ] fix readme: move setup to its own page, demo to its own page, add the why /|\ section <br />

From 5c3bfcf957d7d8925d5cd9bff79e6a3a707cbbbc Mon Sep 17 00:00:00 2001
From: Laine <lainelminor@gmail.com>
Date: Thu, 13 Mar 2025 11:33:38 -0400
Subject: [PATCH 33/98] Add source mocked data file, make current_pto tool
 functional, rename future_pto to future_pto_calc

---
 adding-goals-and-tools.md                   | 11 ++++++++
 todo.md                                     | 14 +++++-----
 tools/__init__.py                           |  6 ++---
 tools/current_pto.py                        | 30 ++++++++++++++-------
 tools/data/employee_pto_data.json           | 18 +++++++++++++
 tools/{future_pto.py => future_pto_calc.py} |  2 +-
 tools/goal_registry.py                      |  7 ++---
 tools/tool_registry.py                      |  2 +-
 8 files changed, 66 insertions(+), 24 deletions(-)
 create mode 100644 tools/data/employee_pto_data.json
 rename tools/{future_pto.py => future_pto_calc.py} (93%)

diff --git a/adding-goals-and-tools.md b/adding-goals-and-tools.md
index 57a8517..c20802d 100644
--- a/adding-goals-and-tools.md
+++ b/adding-goals-and-tools.md
@@ -17,6 +17,17 @@ The agent is set up to allow for multiple goals and to switch back to choosing a
 
 ### Adding Tools
 
+#### Notes
+Tools can be optional - you can indicate this in the tool listing of goal description (see above section re: goal registry) by adding something like, "This step is optional and can be skipped by moving to the next tool." Here is an example from the CalendarConflict tool/step of the [goal_hr_schedule_pto](tools/goal_registry.py#L134) goal:
+
+```
+description="Help the user gather args for these tools in order: "
+    "1. CurrentPTO: Tell the user how much PTO they currently have "
+    "2. FuturePTO: Tell the user how much PTO they will have as of the prospective date "
+    "3. CalendarConflict: Tell the user what conflicts if any exist around the prospective date on a list of calendars. This step is optional and can be skipped by moving to the next tool. "
+    "4. BookPTO: Book PTO "
+```
+
 #### Add to Tool Registry
 - `tool_registry.py` contains the mapping of tool names to tool definitions (so the AI understands how to use them)
 - `name`:
diff --git a/todo.md b/todo.md
index ca4fdb2..81aecbc 100644
--- a/todo.md
+++ b/todo.md
@@ -17,12 +17,11 @@
 [ ] create tests<br />
 
 [ ] create people management scenarios <br />
-[ ] 1. Book PTO
--- check current PTO level <br />
--- determine PTO available as of date <br />
--- check for personal calendar conflicts <br />
--- check for team calendar conflicts <br />
--- book PTO around a date (send calendar invite?) (https://developers.google.com/calendar/api/guides/overview)? <br />
+[x] 1. Schedule PTO goal
+-- [ ] check current PTO level <br />
+-- [ ] determine PTO available as of date <br />
+-- [ ] check for personal, team, or both calendar conflicts <br />
+-- [ ] book PTO around a date (send calendar invite?) (https://developers.google.com/calendar/api/guides/overview)? <br />
 [ ] 2. Others:
 -- check pay status <br />
 -- book work travel <br />
@@ -45,4 +44,5 @@
 [ ] non-retry the api key error - "Invalid API Key provided: sk_test_**J..." and "AuthenticationError" <br />
 [ ] make it so you can yeet yourself out of a goal and pick a new one <br />
 
-[ ] add visual feedback when workflow starting
\ No newline at end of file
+[ ] add visual feedback when workflow starting <br />
+[ ] figure out how to allow user to list agents at any time - like end conversation <br />
\ No newline at end of file
diff --git a/tools/__init__.py b/tools/__init__.py
index 89e8f74..ea8a0a8 100644
--- a/tools/__init__.py
+++ b/tools/__init__.py
@@ -11,7 +11,7 @@ from .transfer_control import transfer_control
 from .current_pto import current_pto
 from .book_pto import book_pto
 from .calendar_conflict import calendar_conflict
-from .future_pto import future_pto
+from .future_pto_calc import future_pto_calc
 
 
 def get_handler(tool_name: str):
@@ -39,7 +39,7 @@ def get_handler(tool_name: str):
         return book_pto
     if tool_name == "CalendarConflict":
         return calendar_conflict
-    if tool_name == "FuturePTO":
-        return future_pto
+    if tool_name == "FuturePTOCalc":
+        return future_pto_calc
 
     raise ValueError(f"Unknown tool: {tool_name}")
diff --git a/tools/current_pto.py b/tools/current_pto.py
index b8d2d40..9e56248 100644
--- a/tools/current_pto.py
+++ b/tools/current_pto.py
@@ -1,14 +1,26 @@
+from pathlib import Path
+import json
+
+
 def current_pto(args: dict) -> dict:
     
     email = args.get("email")
-    if email == "bob.johnson@emailzzz.com":
-        num_hours = 40
-    else:
-        num_hours = 20
 
-    num_days = float(num_hours/8)
+    file_path = Path(__file__).resolve().parent / "data" / "employee_pto_data.json"
+    if not file_path.exists():
+        return {"error": "Data file not found."}
+    
+    data = json.load(open(file_path))
+    employee_list = data["theCompany"]["employees"]
 
-    return {
-        "num_hours": num_hours,
-        "num_days": num_days,
-    }
+    for employee in employee_list:
+        if employee["email"] == email:
+            num_hours = int(employee["currentPTOHrs"])
+            num_days = float(num_hours/8)
+            return {
+                "num_hours": num_hours,
+                "num_days": num_days,
+            }
+        
+    return_msg = "Employee not found with email address " + email
+    return {"error": return_msg}
\ No newline at end of file
diff --git a/tools/data/employee_pto_data.json b/tools/data/employee_pto_data.json
new file mode 100644
index 0000000..bc41ab0
--- /dev/null
+++ b/tools/data/employee_pto_data.json
@@ -0,0 +1,18 @@
+{
+  "theCompany": {
+    "weLove": "theCompany", 
+    "accrualPer": "month",
+    "employees": [
+      {
+        "email": "josh.smith@temporal.io",
+        "currentPTOHrs": 400,
+        "accrualHrsRate": 8
+      },
+      {
+        "email": "laine.smith@awesome.com",
+        "currentPTOHrs": 40,
+        "accrualHrsRate": 12
+      }
+    ]
+  }
+}
\ No newline at end of file
diff --git a/tools/future_pto.py b/tools/future_pto_calc.py
similarity index 93%
rename from tools/future_pto.py
rename to tools/future_pto_calc.py
index eaf9a12..3ae81e2 100644
--- a/tools/future_pto.py
+++ b/tools/future_pto_calc.py
@@ -1,4 +1,4 @@
-def future_pto(args: dict) -> dict:
+def future_pto_calc(args: dict) -> dict:
     
     start_date = args.get("start_date")
     end_date = args.get("end_date")
diff --git a/tools/goal_registry.py b/tools/goal_registry.py
index ee7dfaf..015aaf1 100644
--- a/tools/goal_registry.py
+++ b/tools/goal_registry.py
@@ -131,6 +131,7 @@ goal_event_flight_invoice = AgentGoal(
     ),
 )
 
+# This goal uses the data/employee_pto_data.json file as dummy data.
 goal_hr_schedule_pto = AgentGoal(
     id = "goal_hr_schedule_pto",
     agent_name="Schedule PTO",
@@ -144,8 +145,8 @@ goal_hr_schedule_pto = AgentGoal(
     ],
     description="Help the user gather args for these tools in order: "
     "1. CurrentPTO: Tell the user how much PTO they currently have "
-    "2. FuturePTO: Tell the user how much PTO they will have as of the prospective date "
-    "3. CalendarConflict: Tell the user what conflicts if any exist around the prospective date on a list of calendars "
+    "2. FuturePTOCalc: Tell the user how much PTO they will have as of the prospective date "
+    "3. CalendarConflict: Tell the user what conflicts if any exist around the prospective date on a list of calendars. This step is optional and can be skipped by moving to the next tool. "
     "4. BookPTO: Book PTO ",
     starter_prompt=starter_prompt_generic,
     example_conversation_history="\n ".join(
@@ -170,7 +171,7 @@ goal_hr_schedule_pto = AgentGoal(
             "user: yes "
             "user_confirmed_tool_run: <user clicks confirm on BookPTO tool>",
             'tool_result: { "status": "success" }',
-            "agent: PTO successfully booked! Would you like to speak to another agent? ",
+            "agent: PTO successfully booked! ",
         ]
     ),
 )
diff --git a/tools/tool_registry.py b/tools/tool_registry.py
index c438282..28a3345 100644
--- a/tools/tool_registry.py
+++ b/tools/tool_registry.py
@@ -157,7 +157,7 @@ current_pto_tool = ToolDefinition(
 )
 
 future_pto_calc_tool = ToolDefinition(
-    name="FuturePTO",
+    name="FuturePTOCalc",
     description="Calculate if the user will have enough PTO as of their proposed date to accommodate the request. Returns a boolean enough_pto and "
     "how many hours of PTO they will have if they take the proposed dates. ",
     arguments=[

From 943f8dc187c630ae251919cba7223288791ad31c Mon Sep 17 00:00:00 2001
From: Joshua Smith <joshmsmith@gmail.com>
Date: Thu, 13 Mar 2025 11:54:04 -0400
Subject: [PATCH 34/98] readme updates

---
 README.md | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/README.md b/README.md
index f40bcd4..e33bd52 100644
--- a/README.md
+++ b/README.md
@@ -12,21 +12,21 @@ It's really helpful to [watch the demo (5 minute YouTube video)](https://www.you
 See [the Setup guide](./setup.md).
 
 ## Customizing Interaction & Tools
-TODO
+See [the guide to adding goals and tools](./adding-goals-and-tools.md).
 
 ## Architecture
 See [the architecture guide](./architecture.md).
 
 ## Productionalization & Adding Features
 - In a prod setting, I would need to ensure that payload data is stored separately (e.g. in S3 or a noSQL db - the claim-check pattern), or otherwise 'garbage collected'. Without these techniques, long conversations will fill up the workflow's conversation history, and start to breach Temporal event history payload limits.
-- A single worker can easily support many workflows - setting workflow ID differently would enable this
-- Continue-as-new shouldn't be a big consideration for this use case (as it would take many conversational turns to trigger). Regardless, I should ensure that it's able to carry the agent state over to the new workflow execution.
+- A single worker can easily support many workflows - setting workflow ID differently would enable this.
+- Continue-as-new shouldn't be a big consideration for this use case (as it would take many conversational turns to trigger). Regardless, we should verify that it's able to carry the agent state over to the new workflow execution.
 - Perhaps the UI should show when the LLM response is being retried (i.e. activity retry attempt because the LLM provided bad output)
-- Tests would be nice!
+- Tests would be nice! [See tests](./tests/).
 
 See [the todo](./todo.md) for more details.
 
-See Customization for more details. <-- TODO
+See [the guide to adding goals and tools](./adding-goals-and-tools.md) for more ways you can add features.
 
 ## For Temporal SAs
 Check out the [slides](https://docs.google.com/presentation/d/1wUFY4v17vrtv8llreKEBDPLRtZte3FixxBUn0uWy5NU/edit#slide=id.g3333e5deaa9_0_0) here and the enablement guide here (TODO).

From 42641fe124e71abc8b0cbf7774331ad156bd4136 Mon Sep 17 00:00:00 2001
From: Joshua Smith <joshmsmith@gmail.com>
Date: Thu, 13 Mar 2025 11:55:33 -0400
Subject: [PATCH 35/98] doc updates

---
 adding-goals-and-tools.md | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/adding-goals-and-tools.md b/adding-goals-and-tools.md
index c20802d..c878229 100644
--- a/adding-goals-and-tools.md
+++ b/adding-goals-and-tools.md
@@ -1,6 +1,8 @@
 ## Customizing the Agent
 The agent is set up to allow for multiple goals and to switch back to choosing a new goal at the end of every successful goal. A goal is made up of a list of tools that the agent will guide the user through. 
 
+It may be helpful to review the [architecture](./architecture.md) for a guide and definition of goals, tools, etc.
+
 ### Adding a Goal
 1.  Open [/tools/goal_registry.py](tools/goal_registry.py) - this file contains descriptions of goals and the tools used to achieve them
 2. Pick a name for your goal!

From 232d901054480a4088ad2d715890cd5778db705b Mon Sep 17 00:00:00 2001
From: Joshua Smith <joshmsmith@gmail.com>
Date: Thu, 13 Mar 2025 12:15:47 -0400
Subject: [PATCH 36/98] adding why temporal section to readme

---
 README.md | 20 ++++++++++++++++++++
 todo.md   |  2 +-
 2 files changed, 21 insertions(+), 1 deletion(-)

diff --git a/README.md b/README.md
index e33bd52..7650d7d 100644
--- a/README.md
+++ b/README.md
@@ -8,6 +8,26 @@ It's really helpful to [watch the demo (5 minute YouTube video)](https://www.you
 
 [![Watch the demo](./assets/agent-youtube-screenshot.jpeg)](https://www.youtube.com/watch?v=GEXllEH2XiQ)
 
+## Why Temporal?
+There are a lot of AI and Agentic AI tools out there, and more on the way. But why Temporal? I asked one of the AI models used in this demo to answer this question (edited minorly):
+
+### Reliability and State Management:
+ Temporal ensures durability and fault tolerance, which are critical for agentic AI systems that involve long-running, complex workflows. For example, it preserves application state across failures, allowing AI agents to resume from where they left off without losing progress. Major AI companies use this for research experiments and agentic flows, where reliability is essential for continuous exploration.
+### Handling Complex, Dynamic Workflows: 
+Agentic AI often involves unpredictable, multi-step processes like web crawling or data searching. Temporal’s workflow orchestration simplifies managing these tasks by abstracting complexity, providing features like retries, timeouts, and signals/queries. Temporal makes observability and resuming failed complex experiments and deep searches simple.
+### Scalability and Speed: 
+Temporal enables rapid development and scaling, crucial for AI systems handling large-scale experiments or production workloads. AI model deployment and SRE teams use it to get code to production quickly with scale as a focus, while research teams can (and do!) run hundreds of experiments daily. Temporal customers report a significant reduction in development time (e.g., 20 weeks to 2 weeks for a feature).
+### Observability and Debugging: 
+Agentic AI systems need insight into where processes succeed or fail. Temporal provides end-to-end visibility and durable workflow history, which Temporal customers are using to track agentic flows and understand failure points.
+### Simplified Error Handling: 
+Temporal abstracts failure management (e.g., retries, rollbacks) so developers can focus on AI logic rather than "plumbing" code. This is vital for agentic AI, where external interactions (e.g., APIs, data sources) are prone to failure.
+### Flexibility for Experimentation: 
+For research-heavy agentic AI, Temporal supports dynamic, code-first workflows and easy integration of new signals/queries, aligning with researchers needs to iterate quickly on experimental paths.
+
+In essence, Temporal’s value lies in its ability to make agentic AI systems more reliable, scalable, and easier to develop by handling the underlying complexity of distributed workflows for both research and applied AI tasks.
+
+Temporal was built to solve the problems of distributed computing, including scalability, reliability, security, visibility, and complexity. Agentic AI systems are complex distributed systems, so Temporal should fit well. Scaling, security, and productionalization are major pain points in March 2025 for building agentic systems.
+
 ## Setup and Configuration
 See [the Setup guide](./setup.md).
 
diff --git a/todo.md b/todo.md
index b8e1f5e..624805e 100644
--- a/todo.md
+++ b/todo.md
@@ -4,7 +4,7 @@
 [x] make the debugging confirms optional <br />
 [ ] add confirmation env setting to setup guide <br />
  <br />
-[ ] document *why* temporal for ai agents - scalability, durability, visibility in the readme <br />
+[x] document *why* temporal for ai agents - scalability, durability, visibility in the readme <br />
 [ ] fix readme: move setup to its own page, demo to its own page, add the why /|\ section <br />
 [ ] add architecture to readme <br />
 - elements of app <br />

From a7a90c32894eddfca6b0f82ea2bca04eb89aaaf1 Mon Sep 17 00:00:00 2001
From: Laine <lainelminor@gmail.com>
Date: Thu, 13 Mar 2025 14:19:13 -0400
Subject: [PATCH 37/98] Add functionality to future_pto_calc, remove
 calendar_conflict step from goal

---
 adding-goals-and-tools.md         |  2 +-
 tools/__init__.py                 |  3 --
 tools/calendar_conflict.py        | 17 --------
 tools/data/employee_pto_data.json |  5 +--
 tools/future_pto_calc.py          | 64 +++++++++++++++++++++++++------
 tools/goal_registry.py            | 37 +++++-------------
 tools/tool_registry.py            | 16 ++++++--
 7 files changed, 78 insertions(+), 66 deletions(-)
 delete mode 100644 tools/calendar_conflict.py

diff --git a/adding-goals-and-tools.md b/adding-goals-and-tools.md
index c20802d..11f8f5e 100644
--- a/adding-goals-and-tools.md
+++ b/adding-goals-and-tools.md
@@ -9,7 +9,7 @@ The agent is set up to allow for multiple goals and to switch back to choosing a
 - `agent_name`: user-facing name for the agent/chatbot
 - `agent_friendly_description`: user-facing description of what the agent/chatbot does
 - `tools`: the list of tools the goal will walk the user through. 
-- Important! The last tool listed must be `list_agents_tool`
+- Important! The last tool listed must be `list_agents_tool`. This allows the AI to let the user go back to choosing from the list of available goals.
 - `description`:
 - `starter-prompt`:
 - `example_conversation_history`:
diff --git a/tools/__init__.py b/tools/__init__.py
index ea8a0a8..b37b867 100644
--- a/tools/__init__.py
+++ b/tools/__init__.py
@@ -10,7 +10,6 @@ from .transfer_control import transfer_control
 
 from .current_pto import current_pto
 from .book_pto import book_pto
-from .calendar_conflict import calendar_conflict
 from .future_pto_calc import future_pto_calc
 
 
@@ -37,8 +36,6 @@ def get_handler(tool_name: str):
         return current_pto
     if tool_name == "BookPTO":
         return book_pto
-    if tool_name == "CalendarConflict":
-        return calendar_conflict
     if tool_name == "FuturePTOCalc":
         return future_pto_calc
 
diff --git a/tools/calendar_conflict.py b/tools/calendar_conflict.py
deleted file mode 100644
index 00b190c..0000000
--- a/tools/calendar_conflict.py
+++ /dev/null
@@ -1,17 +0,0 @@
-def calendar_conflict(args: dict) -> dict:
-    
-    check_self = args.get("check_self_calendar")
-    check_team = args.get("check_team_calendar")
-
-    conflict_list = []
-    conflict = {
-        "calendar": "self",
-        "title": "Meeting with Karen",
-        "date": "2025-12-02",
-        "time": "10:00AM",
-    }
-    conflict_list.append(conflict)
-
-    return {
-        "conflicts": conflict_list,
-    }
diff --git a/tools/data/employee_pto_data.json b/tools/data/employee_pto_data.json
index bc41ab0..1f31a26 100644
--- a/tools/data/employee_pto_data.json
+++ b/tools/data/employee_pto_data.json
@@ -1,17 +1,16 @@
 {
   "theCompany": {
     "weLove": "theCompany", 
-    "accrualPer": "month",
     "employees": [
       {
         "email": "josh.smith@temporal.io",
         "currentPTOHrs": 400,
-        "accrualHrsRate": 8
+        "hrsAddedPerMonth": 8
       },
       {
         "email": "laine.smith@awesome.com",
         "currentPTOHrs": 40,
-        "accrualHrsRate": 12
+        "hrsAddedPerMonth": 12
       }
     ]
   }
diff --git a/tools/future_pto_calc.py b/tools/future_pto_calc.py
index 3ae81e2..b4e557b 100644
--- a/tools/future_pto_calc.py
+++ b/tools/future_pto_calc.py
@@ -1,17 +1,57 @@
+import json
+import pandas
+from pathlib import Path
+from datetime import date, datetime
+from dateutil.relativedelta import relativedelta
+
+
 def future_pto_calc(args: dict) -> dict:
     
-    start_date = args.get("start_date")
-    end_date = args.get("end_date")
+    file_path = Path(__file__).resolve().parent / "data" / "employee_pto_data.json"
+    if not file_path.exists():
+        return {"error": "Data file not found."}
+    
+    start_date = datetime.strptime(args.get("start_date"), "%Y-%m-%d").date()
+    end_date = datetime.strptime(args.get("end_date"), "%Y-%m-%d").date()
+    email = args.get("email")
 
-    # get rate of accrual - need email?
-    # get total hrs of PTO available as of start date (accrual * time between today and start date)
-        # take into account other booked PTO??
-    # calculate number of business hours of PTO: between start date and end date
+    #Next, set up the ability to calculate how much PTO will be added to the user's total by the start of the PTO request
+    today = date.today()
 
-    # enough_pto = total PTO as of start date - num biz hours of PTO > 0
-    # pto_hrs_remaining_after = total PTO as of start date - num biz hours of PTO
+    if today > start_date:
+        return_msg = "PTO start date " + args.get("start_date") + "cannot be in the past"
+        return {"error": return_msg}
+    
+    if end_date < start_date:
+        return_msg = "PTO end date " + args.get("end_date") + " must be after PTO start date " + args.get("start_date")
+        return {"error": return_msg}
+    
+    #Get the number of business days, and then business hours (assume 8 hr biz day), included in the PTO request
+    biz_days_of_request = len(pandas.bdate_range(start=start_date, end=end_date, inclusive="both"))
+    biz_hours_of_request = biz_days_of_request * 8
+    
+    #Assume PTO is added on the first of every month - month math compares rolling dates, so compare the PTO request with the first day of the current month.
+    today_first_of_month = date(today.year, today.month, 1)
+    time_difference = relativedelta(start_date, today_first_of_month)
+    months_to_accrue = time_difference.years * 12 + time_difference.months
+    
+    data = json.load(open(file_path))
+    employee_list = data["theCompany"]["employees"]
 
-    return {
-        "enough_pto": True, 
-        "pto_hrs_remaining_after": 410,
-    }
+    enough_pto = False
+
+    for employee in employee_list:
+        if employee["email"] == email:
+            current_pto_hours = int(employee["currentPTOHrs"])
+            hrs_added_per_month = int(employee["hrsAddedPerMonth"])
+            pto_available_at_start = current_pto_hours + (months_to_accrue * hrs_added_per_month)
+            pto_hrs_remaining_after = pto_available_at_start - biz_hours_of_request
+            if pto_hrs_remaining_after >= 0:
+                enough_pto = True
+            return {
+                "enough_pto": enough_pto, 
+                "pto_hrs_remaining_after": str(pto_hrs_remaining_after),
+            }
+
+    return_msg = "Employee not found with email address " + email
+    return {"error": return_msg}
diff --git a/tools/goal_registry.py b/tools/goal_registry.py
index 015aaf1..6ffa293 100644
--- a/tools/goal_registry.py
+++ b/tools/goal_registry.py
@@ -1,22 +1,8 @@
 from typing import List
 from models.tool_definitions import AgentGoal
 import tools.tool_registry as tool_registry
-'''from tools.tool_registry import (
-    search_fixtures_tool,
-    search_flights_tool,
-    search_trains_tool,
-    book_trains_tool,
-    create_invoice_tool,
-    find_events_tool,
-    change_goal_tool,
-    list_agents_tool,
-    current_pto_tool,
-    future_pto_calc_tool,
-    calendar_conflict_tool,
-    book_pto_tool,
-)'''
 
-starter_prompt_generic = "Welcome me, give me a description of what you can do, then ask me for the details you need to do your job"
+starter_prompt_generic = "Welcome me, give me a description of what you can do, then ask me for the details you need to do your job. "
 
 goal_choose_agent_type = AgentGoal(
     id = "goal_choose_agent_type",
@@ -28,14 +14,13 @@ goal_choose_agent_type = AgentGoal(
     ],
     description="The user wants to choose which type of agent they will interact with. "
         "Help the user gather args for these tools, in order: "
-        "1. ListAgents: List agents available to interact with "
+        "1. ListAgents: List agents available to interact with. Do not ask for user confirmation for this tool. "
         "2. ChangeGoal: Change goal of agent "
         "After these tools are complete, change your goal to the new goal as chosen by the user. ",
-    starter_prompt=starter_prompt_generic,
+    starter_prompt=starter_prompt_generic + "Begin by providing the output for the first tool included in this goal. ",
     example_conversation_history="\n ".join(
         [
-            "user: I'd like to choose an agent",
-            "agent: Sure! Would you like me to list the available agents?",
+            "agent: Here are the currently available agents.",
             "user_confirmed_tool_run: <user clicks confirm on ListAgents tool>",
             "tool_result: { 'agent_name': 'Event Flight Finder', 'goal_id': 'goal_event_flight_invoice', 'agent_description': 'Helps users find interesting events and arrange travel to them' }",
             "agent: The available agents are: 1. Event Flight Finder. Which agent would you like to speak to?",
@@ -135,19 +120,17 @@ goal_event_flight_invoice = AgentGoal(
 goal_hr_schedule_pto = AgentGoal(
     id = "goal_hr_schedule_pto",
     agent_name="Schedule PTO",
-    agent_friendly_description="Schedule PTO based on your available time, personal calendar, and team calendar.",   
+    agent_friendly_description="Schedule PTO based on your available PTO.",   
     tools=[
         tool_registry.current_pto_tool,
         tool_registry.future_pto_calc_tool,
-        tool_registry.calendar_conflict_tool,
         tool_registry.book_pto_tool,
         tool_registry.list_agents_tool, #last tool must be list_agents to fasciliate changing back to picking an agent again at the end
     ],
-    description="Help the user gather args for these tools in order: "
+    description="The user wants to schedule paid time off (PTO) after today's date. To assist with that goal, help the user gather args for these tools in order: "
     "1. CurrentPTO: Tell the user how much PTO they currently have "
-    "2. FuturePTOCalc: Tell the user how much PTO they will have as of the prospective date "
-    "3. CalendarConflict: Tell the user what conflicts if any exist around the prospective date on a list of calendars. This step is optional and can be skipped by moving to the next tool. "
-    "4. BookPTO: Book PTO ",
+    "2. FuturePTOCalc: Tell the user how much PTO they will have as of the prospective future date "
+    "3. BookPTO: Book PTO after user types 'yes'",
     starter_prompt=starter_prompt_generic,
     example_conversation_history="\n ".join(
         [
@@ -158,8 +141,8 @@ goal_hr_schedule_pto = AgentGoal(
             "user_confirmed_tool_run: <user clicks confirm on CurrentPTO tool>",
             "tool_result: { 'num_hours': 400, 'num_days': 50 }",
             "agent: You have 400 hours, or 50 days, of PTO available. What dates would you like to take your time off? ",
-            "user: Dec 1 2025 through Dec 5 2025",
-            "agent: Let's check if you'll have enough PTO accrued by Dec 1 to accomodate that.",
+            "user: Dec 1 through Dec 5",
+            "agent: Let's check if you'll have enough PTO accrued by Dec 1 of this year to accomodate that.",
             "user_confirmed_tool_run: <user clicks confirm on FuturePTO tool>"
             'tool_result: {"enough_pto": True, "pto_hrs_remaining_after": 410}',
             "agent: You do in fact have enough PTO to accommodate that, and will have 410 hours remaining after you come back. Do you want to check calendars for conflicts? If so, please provide one of the following: self, team, or both "
diff --git a/tools/tool_registry.py b/tools/tool_registry.py
index 28a3345..e641ae3 100644
--- a/tools/tool_registry.py
+++ b/tools/tool_registry.py
@@ -151,15 +151,15 @@ current_pto_tool = ToolDefinition(
         ToolArgument(
             name="email",
             type="string",
-            description="name of user, used to look up current PTO",
+            description="email address of user",
         ),
     ],
 )
 
 future_pto_calc_tool = ToolDefinition(
     name="FuturePTOCalc",
-    description="Calculate if the user will have enough PTO as of their proposed date to accommodate the request. Returns a boolean enough_pto and "
-    "how many hours of PTO they will have if they take the proposed dates. ",
+    description="Calculate if the user will have enough PTO as of their proposed date to accommodate the request. The proposed start and end dates should be in the future. "
+    "Returns a boolean enough_pto and how many hours of PTO they will have remaining if they take the proposed dates. ",
     arguments=[
         ToolArgument(
             name="start_date",
@@ -171,6 +171,11 @@ future_pto_calc_tool = ToolDefinition(
             type="string",
             description="End date of proposed PTO",
         ),
+        ToolArgument(
+            name="email",
+            type="string",
+            description="email address of user",
+        ),
     ],
 )
 
@@ -211,5 +216,10 @@ book_pto_tool = ToolDefinition(
             type="string",
             description="Email address of user, used to look up current PTO",
         ),
+        ToolArgument(
+            name="userConfirmation",
+            type="string",
+            description="Indication of user's desire to book PTO",
+        ),
     ],
 )
\ No newline at end of file

From ece3ac1d3c44de50cff1a12d3d3bf0d22221e6f0 Mon Sep 17 00:00:00 2001
From: Laine <lainelminor@gmail.com>
Date: Thu, 13 Mar 2025 14:53:03 -0400
Subject: [PATCH 38/98] Add the category tag to the goals and example env file,
 and filter the results based on tags in list_agents

---
 .env.example               |  7 +++++--
 models/tool_definitions.py |  1 +
 tools/goal_registry.py     |  4 ++++
 tools/list_agents.py       | 28 ++++++++++++++++++++++------
 4 files changed, 32 insertions(+), 8 deletions(-)

diff --git a/.env.example b/.env.example
index 4701495..ad5cffd 100644
--- a/.env.example
+++ b/.env.example
@@ -35,8 +35,11 @@ OPENAI_API_KEY=sk-proj-...
 # Uncomment if using API key (not needed for local dev server)
 # TEMPORAL_API_KEY=abcdef1234567890
 
-# Agent Goal Configuration
-# AGENT_GOAL=goal_event_flight_invoice  # (default) or goal_match_train_invoice
+# Set starting goal of agent
+AGENT_GOAL=goal_choose_agent_type  # (default) 
+
+#Choose which category(ies) of goals you want to be listed by the Agent - options are system (always included), hr, travel, or all. 
+GOAL_CATEGORIES=hr,travel # default is all
 
 # Set if the UI should force a user confirmation step or not
 SHOW_CONFIRM=True
\ No newline at end of file
diff --git a/models/tool_definitions.py b/models/tool_definitions.py
index 76d9ab3..59cf27b 100644
--- a/models/tool_definitions.py
+++ b/models/tool_definitions.py
@@ -18,6 +18,7 @@ class ToolDefinition:
 @dataclass
 class AgentGoal:
     id: str
+    category_tag: str
     agent_name: str
     agent_friendly_description: str
     tools: List[ToolDefinition]
diff --git a/tools/goal_registry.py b/tools/goal_registry.py
index 6ffa293..055fee3 100644
--- a/tools/goal_registry.py
+++ b/tools/goal_registry.py
@@ -6,6 +6,7 @@ starter_prompt_generic = "Welcome me, give me a description of what you can do,
 
 goal_choose_agent_type = AgentGoal(
     id = "goal_choose_agent_type",
+    category_tag="system",
     agent_name="Choose Agent",
     agent_friendly_description="Choose the type of agent to assist you today.",
     tools=[
@@ -33,6 +34,7 @@ goal_choose_agent_type = AgentGoal(
 
 goal_match_train_invoice = AgentGoal(
     id = "goal_match_train_invoice",
+    category_tag="travel",
     agent_name="UK Premier League Match Trip Booking",
     agent_friendly_description="Book a trip to a city in the UK around the dates of a premier league match.",
     tools=[
@@ -80,6 +82,7 @@ goal_match_train_invoice = AgentGoal(
 
 goal_event_flight_invoice = AgentGoal(
     id = "goal_event_flight_invoice",
+    category_tag="travel",
     agent_name="Australia and New Zealand Event Flight Booking",
     agent_friendly_description="Book a trip to a city in Australia or New Zealand around the dates of events in that city.",    
     tools=[
@@ -119,6 +122,7 @@ goal_event_flight_invoice = AgentGoal(
 # This goal uses the data/employee_pto_data.json file as dummy data.
 goal_hr_schedule_pto = AgentGoal(
     id = "goal_hr_schedule_pto",
+    category_tag="hr",
     agent_name="Schedule PTO",
     agent_friendly_description="Schedule PTO based on your available PTO.",   
     tools=[
diff --git a/tools/list_agents.py b/tools/list_agents.py
index 1fc56f3..ba9aa20 100644
--- a/tools/list_agents.py
+++ b/tools/list_agents.py
@@ -1,16 +1,32 @@
+import os
 import tools.goal_registry as goals
 
 def list_agents(args: dict) -> dict:
 
+    goal_categories_start = os.getenv("GOAL_CATEGORIES")
+    if goal_categories_start is None:
+        goal_categories = ["all"] # default to 'all' categories
+    else:
+        goal_categories_start.strip().lower() # handle extra spaces or non-lowercase
+        goal_categories = goal_categories_start.split(",")
+
+    # always show goals labeled as "system," like the goal chooser
+    if "system" not in goal_categories:
+        goal_categories.append("system")
+
     agents = []
     if goals.goal_list is not None:
         for goal in goals.goal_list:
-            agents.append(
-                {
-                    "agent_name": goal.agent_name,
-                    "goal_id": goal.id,
-                    "agent_description": goal.agent_friendly_description,
-                }
+            # add to list if either
+            #   - all
+            #   - current goal's tag is in goal_categories
+            if "all" in goal_categories or goal.category_tag in goal_categories:
+                agents.append(
+                    {
+                        "agent_name": goal.agent_name,
+                        "goal_id": goal.id,
+                        "agent_description": goal.agent_friendly_description,
+                    }
             )
     return {
         "agents": agents,

From 4cfe472ca0996ddf4721565a1d4705c6392fb21c Mon Sep 17 00:00:00 2001
From: Joshua Smith <joshmsmith@gmail.com>
Date: Fri, 14 Mar 2025 10:10:43 -0400
Subject: [PATCH 39/98] notes about tools

---
 adding-goals-and-tools.md | 1 +
 1 file changed, 1 insertion(+)

diff --git a/adding-goals-and-tools.md b/adding-goals-and-tools.md
index c878229..e1f4437 100644
--- a/adding-goals-and-tools.md
+++ b/adding-goals-and-tools.md
@@ -41,6 +41,7 @@ description="Help the user gather args for these tools in order: "
 - The file name and function name will be the same as each other and should also be the same as the name of the tool, without "tool" - so future_pto_tool would be future_pto.py with a function named future_pto within it.
 - The function should have `args: dict` as the input and also return a `dict`
 - The return dict should match the output format you specified in the goal's `example_conversation_history`
+- tools are where the user input+model output becomes deterministic. Add validation here to make sure what the system is doing is valid and acceptable
 
 #### Add to `tools/__init__.py`
 - In `tools/__init__.py`, add an import statement for each new tool as well as an applicable return statement in `get_handler`. The tool name here should match the tool name as described in the goal's `description` field.

From 72fe6384852c3c15402a991caf1449ec6e4eacc1 Mon Sep 17 00:00:00 2001
From: Joshua Smith <joshmsmith@gmail.com>
Date: Fri, 14 Mar 2025 10:11:33 -0400
Subject: [PATCH 40/98] more notes about tools

---
 architecture.md | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/architecture.md b/architecture.md
index f1a5d7b..a97c02d 100644
--- a/architecture.md
+++ b/architecture.md
@@ -8,5 +8,7 @@ talk through the pieces
 
 explain elements
 
+tools do determinism
+
 # Adding features
 link to how to LLM interactions/how to change
\ No newline at end of file

From f767cfdc510caea3515feb22a8778e661e24c4d4 Mon Sep 17 00:00:00 2001
From: Joshua Smith <joshmsmith@gmail.com>
Date: Fri, 14 Mar 2025 10:11:45 -0400
Subject: [PATCH 41/98] todo/logging

---
 todo.md | 1 +
 1 file changed, 1 insertion(+)

diff --git a/todo.md b/todo.md
index 624805e..87fd312 100644
--- a/todo.md
+++ b/todo.md
@@ -16,6 +16,7 @@
 [ ] how to add more scenarios, tools <br />
 
 [ ] create tests<br />
+[ ] fix logging statements not to be all warn, maybe set logging level to info
 
 [ ] create people management scenarios <br />
 [x] 1. Schedule PTO goal

From 7153c5308a8ef619236905c8831132197cdafa3b Mon Sep 17 00:00:00 2001
From: Joshua Smith <joshmsmith@gmail.com>
Date: Fri, 14 Mar 2025 10:12:09 -0400
Subject: [PATCH 42/98] set logging level (to Info)

---
 scripts/run_worker.py | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/scripts/run_worker.py b/scripts/run_worker.py
index 7b9549e..c30c953 100644
--- a/scripts/run_worker.py
+++ b/scripts/run_worker.py
@@ -2,6 +2,7 @@ import asyncio
 import concurrent.futures
 import os
 from dotenv import load_dotenv
+import logging
 
 from temporalio.worker import Worker
 
@@ -48,6 +49,9 @@ async def main():
             print("===========================================================\n")
 
     print("Worker ready to process tasks!")
+    logging.basicConfig(level=logging.INFO)
+
+
 
     # Run the worker
     with concurrent.futures.ThreadPoolExecutor(max_workers=100) as activity_executor:

From c8a0feaa1b65979d84b6503f4c56596dfaee6fe7 Mon Sep 17 00:00:00 2001
From: Joshua Smith <joshmsmith@gmail.com>
Date: Fri, 14 Mar 2025 10:12:27 -0400
Subject: [PATCH 43/98] logging level to WARN

---
 scripts/run_worker.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/scripts/run_worker.py b/scripts/run_worker.py
index c30c953..c5b280e 100644
--- a/scripts/run_worker.py
+++ b/scripts/run_worker.py
@@ -49,7 +49,7 @@ async def main():
             print("===========================================================\n")
 
     print("Worker ready to process tasks!")
-    logging.basicConfig(level=logging.INFO)
+    logging.basicConfig(level=logging.WARN)
 
 
 

From 36894c91f9eec1015519137a7db560ebc4470ba1 Mon Sep 17 00:00:00 2001
From: Joshua Smith <joshmsmith@gmail.com>
Date: Fri, 14 Mar 2025 10:13:07 -0400
Subject: [PATCH 44/98] cleaning up workflow code

---
 workflows/agent_goal_workflow.py | 109 +++++++++++++++++++++----------
 1 file changed, 73 insertions(+), 36 deletions(-)

diff --git a/workflows/agent_goal_workflow.py b/workflows/agent_goal_workflow.py
index 3f73866..745f2b5 100644
--- a/workflows/agent_goal_workflow.py
+++ b/workflows/agent_goal_workflow.py
@@ -77,55 +77,34 @@ class AgentGoalWorkflow:
         # This is the main interactive loop. Main responsibilities:
         #   - Selecting and changing goals as directed by the user
         #   - reacting to user input (from signals) 
-        #   - calling activities to determine next steps and prompts
-        #   - executing the selected tools 
+        #   - validating user input to make sure it makes sense with the current goal and tools
+        #   - calling the LLM through activities to determine next steps and prompts
+        #   - executing the selected tools via activities
         while True:
             # wait indefinitely for input from signals - user_prompt, end_chat, or confirm as defined below
             await workflow.wait_condition(
                 lambda: bool(self.prompt_queue) or self.chat_ended or self.confirm
             )
 
-            # handle chat-end signal
-            if self.chat_ended:
-                workflow.logger.warning(f"workflow step: chat-end signal received, ending")
-                workflow.logger.info("Chat ended.")
+            # handle chat should end. When chat ends, push conversation history to workflow results.
+            if self.chat_should_end():
                 return f"{self.conversation_history}"
 
             # Execute the tool 
-            if self.confirm and waiting_for_confirm and current_tool and self.tool_data:
-                workflow.logger.warning(f"workflow step: user has confirmed, executing the tool {current_tool}")
-                self.confirm = False
-                waiting_for_confirm = False
-
-                confirmed_tool_data = self.tool_data.copy()
-                confirmed_tool_data["next"] = "user_confirmed_tool_run"
-                self.add_message("user_confirmed_tool_run", confirmed_tool_data)
-
-                # execute the tool by key as defined in tools/__init__.py
-                await helpers.handle_tool_execution(
-                    current_tool,
-                    self.tool_data,
-                    self.tool_results,
-                    self.add_message,
-                    self.prompt_queue
-                )
-
-                #set new goal if we should
-                if len(self.tool_results) > 0:
-                    if "ChangeGoal" in self.tool_results[-1].values() and "new_goal" in self.tool_results[-1].keys():
-                        new_goal = self.tool_results[-1].get("new_goal")
-                        workflow.logger.warning(f"Booya new goal!: {new_goal}")
-                        self.change_goal(new_goal)
-                    elif "ListAgents" in self.tool_results[-1].values() and self.goal.id != "goal_choose_agent_type":
-                        workflow.logger.warning("setting goal to goal_choose_agent_type")
-                        self.change_goal("goal_choose_agent_type")
+            if self.ready_for_tool_execution(waiting_for_confirm, current_tool):
+                waiting_for_confirm = await self.execute_tool(current_tool)
                 continue
 
-            # if we've received messages to be processed on the prompt queue...
+            # process forward on the prompt queue if any
             if self.prompt_queue:
+                # get most recent prompt
                 prompt = self.prompt_queue.popleft()
                 workflow.logger.warning(f"workflow step: processing message on the prompt queue, message is {prompt}")
-                if not prompt.startswith("###"): #if the message isn't from the LLM but is instead from the user
+
+                
+                
+                # Validate user-provided prompts
+                if self.is_user_prompt(prompt): 
                     self.add_message("user", prompt)
 
                     # Validate the prompt before proceeding
@@ -144,7 +123,7 @@ class AgentGoalWorkflow:
                         ),
                     )
 
-                    #If validation fails, provide that feedback to the user - i.e., "your words make no sense, puny human" end this iteration of processing
+                    # If validation fails, provide that feedback to the user - i.e., "your words make no sense, puny human" end this iteration of processing
                     if not validation_result.validationResult:
                         workflow.logger.warning(f"Prompt validation failed: {validation_result.validationFailedReason}")
                         self.add_message("agent", validation_result.validationFailedReason)
@@ -172,6 +151,7 @@ class AgentGoalWorkflow:
                 current_tool = tool_data.get("tool")
 
                 workflow.logger.warning(f"next_step: {next_step}, current tool is {current_tool}")
+
                 #if the next step is to confirm...
                 if next_step == "confirm" and current_tool:
                     args = tool_data.get("args", {})
@@ -285,3 +265,60 @@ class AgentGoalWorkflow:
         #    self.goal = goals.get(goal)
                     workflow.logger.warning("Changed goal to " + goal)
         #todo reset goal or tools if this doesn't work or whatever
+
+    # workflow function that defines if chat should end
+    def chat_should_end(self) -> bool:
+        if self.chat_ended:
+            workflow.logger.warning(f"workflow step: chat-end signal received, ending")
+            workflow.logger.info("Chat ended.")
+            return True
+        else:
+            return False
+    
+    # define if we're ready for tool execution
+    def ready_for_tool_execution(self, waiting_for_confirm: bool, current_tool: Any) -> bool:
+        if self.confirm and waiting_for_confirm and current_tool and self.tool_data:
+            return True
+        else:
+            return False
+
+    # LLM-tagged prompts start with "###"
+    # all others are from the user
+    def is_user_prompt(self, prompt) -> bool:
+         if prompt.startswith("###"):
+             return False
+         else:
+             return True
+        
+    # execute the tool - return False if we're not waiting for confirm anymore (always the case if it works successfully)
+    # 
+    async def execute_tool(self, current_tool: str)->bool:
+        workflow.logger.warning(f"workflow step: user has confirmed, executing the tool {current_tool}")
+        self.confirm = False
+        waiting_for_confirm = False
+        confirmed_tool_data = self.tool_data.copy()
+        confirmed_tool_data["next"] = "user_confirmed_tool_run"
+        self.add_message("user_confirmed_tool_run", confirmed_tool_data)
+
+        # execute the tool by key as defined in tools/__init__.py
+        await helpers.handle_tool_execution(
+            current_tool,
+            self.tool_data,
+            self.tool_results,
+            self.add_message,
+            self.prompt_queue
+        )
+
+        #set new goal if we should
+        if len(self.tool_results) > 0:
+            if "ChangeGoal" in self.tool_results[-1].values() and "new_goal" in self.tool_results[-1].keys():
+                new_goal = self.tool_results[-1].get("new_goal")
+                workflow.logger.warning(f"Booya new goal!: {new_goal}")
+                self.change_goal(new_goal)
+            elif "ListAgents" in self.tool_results[-1].values() and self.goal.id != "goal_choose_agent_type":
+                workflow.logger.warning("setting goal to goal_choose_agent_type")
+                self.change_goal("goal_choose_agent_type")
+        return waiting_for_confirm
+        
+
+    

From 9ead0078496b40d512bfefdd907acbc6435aa84b Mon Sep 17 00:00:00 2001
From: Joshua Smith <joshmsmith@gmail.com>
Date: Fri, 14 Mar 2025 10:16:16 -0400
Subject: [PATCH 45/98] change logging to info unless there needs to be a
 warning

---
 workflows/agent_goal_workflow.py | 26 +++++++++++---------------
 1 file changed, 11 insertions(+), 15 deletions(-)

diff --git a/workflows/agent_goal_workflow.py b/workflows/agent_goal_workflow.py
index 745f2b5..d52e9ab 100644
--- a/workflows/agent_goal_workflow.py
+++ b/workflows/agent_goal_workflow.py
@@ -99,9 +99,7 @@ class AgentGoalWorkflow:
             if self.prompt_queue:
                 # get most recent prompt
                 prompt = self.prompt_queue.popleft()
-                workflow.logger.warning(f"workflow step: processing message on the prompt queue, message is {prompt}")
-
-                
+                workflow.logger.info(f"workflow step: processing message on the prompt queue, message is {prompt}")
                 
                 # Validate user-provided prompts
                 if self.is_user_prompt(prompt): 
@@ -150,7 +148,7 @@ class AgentGoalWorkflow:
                 next_step = tool_data.get("next")
                 current_tool = tool_data.get("tool")
 
-                workflow.logger.warning(f"next_step: {next_step}, current tool is {current_tool}")
+                workflow.logger.info(f"next_step: {next_step}, current tool is {current_tool}")
 
                 #if the next step is to confirm...
                 if next_step == "confirm" and current_tool:
@@ -192,9 +190,9 @@ class AgentGoalWorkflow:
     @workflow.signal
     async def user_prompt(self, prompt: str) -> None:
         """Signal handler for receiving user prompts."""
-        workflow.logger.warning(f"signal received: user_prompt, prompt is {prompt}")
+        workflow.logger.info(f"signal received: user_prompt, prompt is {prompt}")
         if self.chat_ended:
-            workflow.logger.warning(f"Message dropped due to chat closed: {prompt}")
+            workflow.logger.info(f"Message dropped due to chat closed: {prompt}")
             return
         self.prompt_queue.append(prompt)
 
@@ -202,15 +200,14 @@ class AgentGoalWorkflow:
     @workflow.signal
     async def confirm(self) -> None:
         """Signal handler for user confirmation of tool execution."""
-        workflow.logger.info("Received user confirmation")
-        workflow.logger.warning(f"signal recieved: confirm")
+        workflow.logger.info("Received user signal: confirmation")
         self.confirm = True
 
     #Signal that comes from api/main.py via a post to /end-chat
     @workflow.signal
     async def end_chat(self) -> None:
         """Signal handler for ending the chat session."""
-        workflow.logger.warning("signal received: end_chat")
+        workflow.logger.info("signal received: end_chat")
         self.chat_ended = True
 
     @workflow.query
@@ -263,14 +260,13 @@ class AgentGoalWorkflow:
                 if listed_goal.id == goal:
                     self.goal = listed_goal
         #    self.goal = goals.get(goal)
-                    workflow.logger.warning("Changed goal to " + goal)
+                    workflow.logger.info("Changed goal to " + goal)
         #todo reset goal or tools if this doesn't work or whatever
 
     # workflow function that defines if chat should end
     def chat_should_end(self) -> bool:
         if self.chat_ended:
-            workflow.logger.warning(f"workflow step: chat-end signal received, ending")
-            workflow.logger.info("Chat ended.")
+            workflow.logger.info("Chat-end signal received. Chat ending.")
             return True
         else:
             return False
@@ -293,7 +289,7 @@ class AgentGoalWorkflow:
     # execute the tool - return False if we're not waiting for confirm anymore (always the case if it works successfully)
     # 
     async def execute_tool(self, current_tool: str)->bool:
-        workflow.logger.warning(f"workflow step: user has confirmed, executing the tool {current_tool}")
+        workflow.logger.info(f"workflow step: user has confirmed, executing the tool {current_tool}")
         self.confirm = False
         waiting_for_confirm = False
         confirmed_tool_data = self.tool_data.copy()
@@ -313,10 +309,10 @@ class AgentGoalWorkflow:
         if len(self.tool_results) > 0:
             if "ChangeGoal" in self.tool_results[-1].values() and "new_goal" in self.tool_results[-1].keys():
                 new_goal = self.tool_results[-1].get("new_goal")
-                workflow.logger.warning(f"Booya new goal!: {new_goal}")
+                workflow.logger.info(f"Booya new goal!: {new_goal}")
                 self.change_goal(new_goal)
             elif "ListAgents" in self.tool_results[-1].values() and self.goal.id != "goal_choose_agent_type":
-                workflow.logger.warning("setting goal to goal_choose_agent_type")
+                workflow.logger.info("setting goal to goal_choose_agent_type")
                 self.change_goal("goal_choose_agent_type")
         return waiting_for_confirm
         

From 5f8f81a15dd18d4a36138f1328616d2b47d83eca Mon Sep 17 00:00:00 2001
From: Laine <lainelminor@gmail.com>
Date: Fri, 14 Mar 2025 10:20:11 -0400
Subject: [PATCH 46/98] Move HR-related tools to their own folder, add print
 statement for BookPTO functionality, and add SILLY_MODE

---
 tools/__init__.py                 |  6 +++---
 tools/data/employee_pto_data.json |  2 +-
 tools/goal_registry.py            | 21 ++++++++++++++++++---
 tools/{ => hr}/book_pto.py        |  4 +++-
 tools/{ => hr}/current_pto.py     |  2 +-
 tools/{ => hr}/future_pto_calc.py |  5 ++++-
 6 files changed, 30 insertions(+), 10 deletions(-)
 rename tools/{ => hr}/book_pto.py (59%)
 rename tools/{ => hr}/current_pto.py (88%)
 rename tools/{ => hr}/future_pto_calc.py (89%)

diff --git a/tools/__init__.py b/tools/__init__.py
index b37b867..70dd16d 100644
--- a/tools/__init__.py
+++ b/tools/__init__.py
@@ -8,9 +8,9 @@ from .list_agents import list_agents
 from .change_goal import change_goal
 from .transfer_control import transfer_control
 
-from .current_pto import current_pto
-from .book_pto import book_pto
-from .future_pto_calc import future_pto_calc
+from .hr.current_pto import current_pto
+from .hr.book_pto import book_pto
+from .hr.future_pto_calc import future_pto_calc
 
 
 def get_handler(tool_name: str):
diff --git a/tools/data/employee_pto_data.json b/tools/data/employee_pto_data.json
index 1f31a26..38a6329 100644
--- a/tools/data/employee_pto_data.json
+++ b/tools/data/employee_pto_data.json
@@ -8,7 +8,7 @@
         "hrsAddedPerMonth": 8
       },
       {
-        "email": "laine.smith@awesome.com",
+        "email": "lainecaseysmith@gmail.com",
         "currentPTOHrs": 40,
         "hrsAddedPerMonth": 12
       }
diff --git a/tools/goal_registry.py b/tools/goal_registry.py
index 055fee3..369f10c 100644
--- a/tools/goal_registry.py
+++ b/tools/goal_registry.py
@@ -2,7 +2,22 @@ from typing import List
 from models.tool_definitions import AgentGoal
 import tools.tool_registry as tool_registry
 
-starter_prompt_generic = "Welcome me, give me a description of what you can do, then ask me for the details you need to do your job. "
+# Turn on Silly Mode - this should be a description of the persona you'd like the bot to have and can be a single word or a phrase.
+# Example if you want the bot to be a specific person, like Mario or Christopher Walken, or to describe a specific tone:
+#SILLY_MODE="Christopher Walken"
+#SILLY_MODE="belligerent"
+# 
+# Example if you want it to take on a persona (include 'a'):
+#SILLY_MODE="a pirate"
+# Note - this only works with certain LLMs. Grok for sure will stay in character, while OpenAI will not.
+SILLY_MODE="off"
+if SILLY_MODE is not None and SILLY_MODE != "off":
+    silly_prompt = "You are " + SILLY_MODE +", stay in character at all times. "
+    print("Silly mode is on: " + SILLY_MODE)
+else:
+    silly_prompt = ""
+
+starter_prompt_generic = silly_prompt + "Welcome me, give me a description of what you can do, then ask me for the details you need to do your job."
 
 goal_choose_agent_type = AgentGoal(
     id = "goal_choose_agent_type",
@@ -18,13 +33,13 @@ goal_choose_agent_type = AgentGoal(
         "1. ListAgents: List agents available to interact with. Do not ask for user confirmation for this tool. "
         "2. ChangeGoal: Change goal of agent "
         "After these tools are complete, change your goal to the new goal as chosen by the user. ",
-    starter_prompt=starter_prompt_generic + "Begin by providing the output for the first tool included in this goal. ",
+    starter_prompt=starter_prompt_generic + "Begin by listing all details of all agents as provided by the output of the first tool included in this goal. ",
     example_conversation_history="\n ".join(
         [
             "agent: Here are the currently available agents.",
             "user_confirmed_tool_run: <user clicks confirm on ListAgents tool>",
             "tool_result: { 'agent_name': 'Event Flight Finder', 'goal_id': 'goal_event_flight_invoice', 'agent_description': 'Helps users find interesting events and arrange travel to them' }",
-            "agent: The available agents are: 1. Event Flight Finder. Which agent would you like to speak to?",
+            "agent: The available agents are: 1. Event Flight Finder. \n Which agent would you like to speak to?",
             "user: 1",
             "user_confirmed_tool_run: <user clicks confirm on ChangeGoal tool>",
             "tool_result: { 'new_goal': 'goal_event_flight_invoice' }",
diff --git a/tools/book_pto.py b/tools/hr/book_pto.py
similarity index 59%
rename from tools/book_pto.py
rename to tools/hr/book_pto.py
index 4d4b821..457709a 100644
--- a/tools/book_pto.py
+++ b/tools/hr/book_pto.py
@@ -4,6 +4,8 @@ def book_pto(args: dict) -> dict:
     start_date = args.get("start_date")
     end_date = args.get("end_date")
 
+    print(f"[BookPTO] Totally would send an email confirmation of PTO from {start_date} to {end_date} to {email} here!")
+
     return {
         "status": "success"
-    }
+    }
\ No newline at end of file
diff --git a/tools/current_pto.py b/tools/hr/current_pto.py
similarity index 88%
rename from tools/current_pto.py
rename to tools/hr/current_pto.py
index 9e56248..0675e7a 100644
--- a/tools/current_pto.py
+++ b/tools/hr/current_pto.py
@@ -6,7 +6,7 @@ def current_pto(args: dict) -> dict:
     
     email = args.get("email")
 
-    file_path = Path(__file__).resolve().parent / "data" / "employee_pto_data.json"
+    file_path = Path(__file__).resolve().parent.parent / "data" / "employee_pto_data.json"
     if not file_path.exists():
         return {"error": "Data file not found."}
     
diff --git a/tools/future_pto_calc.py b/tools/hr/future_pto_calc.py
similarity index 89%
rename from tools/future_pto_calc.py
rename to tools/hr/future_pto_calc.py
index b4e557b..66eebba 100644
--- a/tools/future_pto_calc.py
+++ b/tools/hr/future_pto_calc.py
@@ -7,7 +7,7 @@ from dateutil.relativedelta import relativedelta
 
 def future_pto_calc(args: dict) -> dict:
     
-    file_path = Path(__file__).resolve().parent / "data" / "employee_pto_data.json"
+    file_path = Path(__file__).resolve().parent.parent / "data" / "employee_pto_data.json"
     if not file_path.exists():
         return {"error": "Data file not found."}
     
@@ -28,6 +28,9 @@ def future_pto_calc(args: dict) -> dict:
     
     #Get the number of business days, and then business hours (assume 8 hr biz day), included in the PTO request
     biz_days_of_request = len(pandas.bdate_range(start=start_date, end=end_date, inclusive="both"))
+    if biz_days_of_request == 0:
+        return_msg = "There are no business days between " + args.get("start_date") + " and " + args.get("end_date")
+        return {"error": return_msg}
     biz_hours_of_request = biz_days_of_request * 8
     
     #Assume PTO is added on the first of every month - month math compares rolling dates, so compare the PTO request with the first day of the current month.

From 8d2099fa8e2669309a87ac65ac6cf1d3a5f10eff Mon Sep 17 00:00:00 2001
From: Laine <lainelminor@gmail.com>
Date: Fri, 14 Mar 2025 10:26:58 -0400
Subject: [PATCH 47/98] Remove one extra print() statement

---
 activities/tool_activities.py | 1 -
 1 file changed, 1 deletion(-)

diff --git a/activities/tool_activities.py b/activities/tool_activities.py
index 5d5ffc3..39cc228 100644
--- a/activities/tool_activities.py
+++ b/activities/tool_activities.py
@@ -493,7 +493,6 @@ def dynamic_tool_activity(args: Sequence[RawValue]) -> dict:
     # Delegate to the relevant function
     handler = get_handler(tool_name)
     result = handler(tool_args)
-    print(f"in dynamic tool activity, result: {result}")
 
     # Optionally log or augment the result
     activity.logger.info(f"Tool '{tool_name}' result: {result}")

From 87d2320b6a6cbdd0eceb9e3b70c10948626509d0 Mon Sep 17 00:00:00 2001
From: Joshua Smith <joshmsmith@gmail.com>
Date: Fri, 14 Mar 2025 11:43:51 -0400
Subject: [PATCH 48/98] architecture section done

---
 architecture.md                     |  63 +++++++++++++++++++++++++---
 assets/argument_gathering_cycle.png | Bin 0 -> 128393 bytes
 assets/interaction_loop.png         | Bin 0 -> 139046 bytes
 todo.md                             |   8 ++--
 4 files changed, 62 insertions(+), 9 deletions(-)
 create mode 100644 assets/argument_gathering_cycle.png
 create mode 100644 assets/interaction_loop.png

diff --git a/architecture.md b/architecture.md
index a97c02d..02daf45 100644
--- a/architecture.md
+++ b/architecture.md
@@ -1,14 +1,67 @@
 # Elements
+These are the main elements of this system. 
 ![Architecture Elements](./assets/Architecture_elements.png "Architecture Elements")
 
-talk through the pieces
+## Workflow 
+This is a [Temporal Workflow](https://docs.temporal.io/workflows) - a durable straightforward description of the process to be executed. For our example see [agent_goal_workflow.py](./workflows/agent_goal_workflow.py).
+Temporal is used to make the process scalable, durable, reliable, secure, and visible.
+
+### Workflow Responsibilities:
+- Orchestrates interactive loop
+- Prompts LLM, Users
+- Keeps record of all interactions ([Signals, Queries, Updates](https://docs.temporal.io/develop/python/message-passing))
+- Executes LLM durably
+- Executes Tools durably
+- Handles failures gracefully
+- Human, LLM and tool interaction history stored for debugging and analysis
+
+## Activities
+These are [Temporal Activities](https://docs.temporal.io/activities). Defined as simple functions, they are auto-retried async/event driven behind the scenes. Activities durably execute Tools and the LLM. See [a sample activity](./activities/tool_activities.py).
+
+## Tools 
+Tools define the capabilities of the system. They are simple Python functions (could be in any language).
+They are executed by Temporal Activities. They are “just code” - can connect to any API or system. They also are where the "hard" business logic is: you can validate and retry actions using code you write.
+Failures are handled gracefully by Temporal.
+
+Activities + Tools turn the probabalistic input from the user and LLM into deterministic action.
+
+## Prompts
+Prompts are where the instructions to the LLM & users is. Prompts are made up of initial instructions, goal instructions, and tool instructions. 
+See [agent prompts](./prompts/agent_prompt_generators.py) and [goal & tool prompts](./tools/goal_registry.py). 
+
+This is where you can add probabalistic business logic, to control process flow, describe what to do, and give instruction and validation for the LLM.
+
+## LLM
+Probabalistic execution: it will _probably_ do what you tell it to do.
+Turns the guidance from the prompts (see [agent prompts](./prompts/agent_prompt_generators.py) and [goal prompts](./tools/goal_registry.py)) into 
+You have a choice of providers - see [setup](./setup.md). 
+The LLM:
+- Validates user input for tools
+- Drives toward goal selected by user
+- Decides when to execute tools
+- Formats input and interprets output for tools
+- is executed by Temporal Activities
+    - API failures and logical failures are handled transparently
+
+## Interaction
+Interaction is managed with Temporal Signals and Queries. These are durably stored in Workflow History. 
+Can be used for analysis and debugging. It's all “just code” so it's easy to add new Signals and Queries. 
+Input can be very dynamic, just needs to be serializable.
+
+The workflow executes in a loop: gathering input, validating input, executing tools, managing prompts, and then waiting for input.
+
+![Interaction Loop](./assets/interaction_loop.png)
+
+Here's a more detailed example for gathering parameters for tools:
+
+![Tool Gathering](./assets/argument_gathering_cycle.png)
 
 # Architecture Model
+Now that we have the pieces and what they do, here is a more complete diagram of how the pieces work together: 
+
+
 ![Architecture](./assets/ai_agent_architecture_model.png "Architecture Model")
 
-explain elements
-
-tools do determinism
 
 # Adding features
-link to how to LLM interactions/how to change
\ No newline at end of file
+Want to add more tools, See [adding goals and tools](./adding-goals-and-tools.md).
\ No newline at end of file
diff --git a/assets/argument_gathering_cycle.png b/assets/argument_gathering_cycle.png
new file mode 100644
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diff --git a/todo.md b/todo.md
index 87fd312..8e4506e 100644
--- a/todo.md
+++ b/todo.md
@@ -1,18 +1,18 @@
 # todo list
-[ ] clean up workflow/make functions
+[x] clean up workflow/make functions
 
 [x] make the debugging confirms optional <br />
 [ ] add confirmation env setting to setup guide <br />
  <br />
 [x] document *why* temporal for ai agents - scalability, durability, visibility in the readme <br />
-[ ] fix readme: move setup to its own page, demo to its own page, add the why /|\ section <br />
-[ ] add architecture to readme <br />
+[x] fix readme: move setup to its own page, demo to its own page, add the why /|\ section <br />
+[x] add architecture to readme <br />
 - elements of app <br />
 - dive into llm interaction <br />
 - workflow breakdown - interactive loop <br />
 - why temporal <br />
 
-[ ] setup readme, why readme, architecture readme, what this is in main readme with temporal value props and pictures <br />
+[x] setup readme, why readme, architecture readme, what this is in main readme with temporal value props and pictures <br />
 [ ] how to add more scenarios, tools <br />
 
 [ ] create tests<br />

From d20c6c53a59c3f826cadad6a5444efcaf4947587 Mon Sep 17 00:00:00 2001
From: Joshua Smith <joshmsmith@gmail.com>
Date: Fri, 14 Mar 2025 12:00:49 -0400
Subject: [PATCH 49/98] more stuff done

---
 todo.md | 30 ++++++++----------------------
 1 file changed, 8 insertions(+), 22 deletions(-)

diff --git a/todo.md b/todo.md
index 8e4506e..f0f7596 100644
--- a/todo.md
+++ b/todo.md
@@ -1,47 +1,33 @@
 # todo list
-[x] clean up workflow/make functions
-
-[x] make the debugging confirms optional <br />
 [ ] add confirmation env setting to setup guide <br />
  <br />
-[x] document *why* temporal for ai agents - scalability, durability, visibility in the readme <br />
-[x] fix readme: move setup to its own page, demo to its own page, add the why /|\ section <br />
-[x] add architecture to readme <br />
-- elements of app <br />
-- dive into llm interaction <br />
-- workflow breakdown - interactive loop <br />
-- why temporal <br />
-
-[x] setup readme, why readme, architecture readme, what this is in main readme with temporal value props and pictures <br />
 [ ] how to add more scenarios, tools <br />
 
 [ ] create tests<br />
 [ ] fix logging statements not to be all warn, maybe set logging level to info
 
 [ ] create people management scenarios <br />
-[x] 1. Schedule PTO goal
--- [ ] check current PTO level <br />
--- [ ] determine PTO available as of date <br />
--- [ ] check for personal, team, or both calendar conflicts <br />
--- [ ] book PTO around a date (send calendar invite?) (https://developers.google.com/calendar/api/guides/overview)? <br />
+
 [ ] 2. Others:
 -- check pay status <br />
 -- book work travel <br />
 -- check insurance coverages <br />
 -- expense management <br />
 -- check in on the health of the team <br />
+-- check pto
 
-[ ] demo the reasons why: <br />
+[x] demo the reasons why: <br />
 - Orchestrate interactions across distributed data stores and tools <br />
 - Hold state, potentially over long periods of time <br />
 - Ability to ‘self-heal’ and retry until the (probabilistic) LLM returns valid data <br />
 - Support for human intervention such as approvals <br />
 - Parallel processing for efficiency of data retrieval and tool use <br />
-- Insight into the agent’s performance <br />
-    - ask the ai agent how it did at the end of the conversation, was it efficient? successful? insert a search attribute to document that before return
 
-[ ] customize prompts in [workflow to manage scenario](./workflows/tool_workflow.py)<br />
-[ ] add in new tools? <br />
+[ ] ask the ai agent how it did at the end of the conversation, was it efficient? successful? insert a search attribute to document that before return
+- Insight into the agent’s performance <br />
+
+[x] customize prompts in [workflow to manage scenario](./workflows/tool_workflow.py)<br />
+[x] add in new tools? <br />
 
 [ ] non-retry the api key error - "Invalid API Key provided: sk_test_**J..." and "AuthenticationError" <br />
 [ ] make it so you can yeet yourself out of a goal and pick a new one <br />

From c1b662090d23686c4ae1903976468f6b418fab3f Mon Sep 17 00:00:00 2001
From: Laine <lainelminor@gmail.com>
Date: Mon, 17 Mar 2025 16:01:30 -0400
Subject: [PATCH 50/98] Add pirate treasure goal and more info to documentation
 re: how to make goals and tools

---
 adding-goals-and-tools.md | 39 +++++++++++++++++++---------
 tools/__init__.py         |  7 ++++++
 tools/give_hint.py        | 42 +++++++++++++++++++++++++++++++
 tools/goal_registry.py    | 50 ++++++++++++++++++++++++++++++++++++
 tools/guess_location.py   | 18 +++++++++++++
 tools/tool_registry.py    | 53 ++++++++++++++++++++++++++-------------
 6 files changed, 179 insertions(+), 30 deletions(-)
 create mode 100644 tools/give_hint.py
 create mode 100644 tools/guess_location.py

diff --git a/adding-goals-and-tools.md b/adding-goals-and-tools.md
index 0993c9c..db5878b 100644
--- a/adding-goals-and-tools.md
+++ b/adding-goals-and-tools.md
@@ -10,17 +10,26 @@ It may be helpful to review the [architecture](./architecture.md) for a guide an
 -  `id`: needs to be the same as the name
 - `agent_name`: user-facing name for the agent/chatbot
 - `agent_friendly_description`: user-facing description of what the agent/chatbot does
-- `tools`: the list of tools the goal will walk the user through. 
-- Important! The last tool listed must be `list_agents_tool`. This allows the AI to let the user go back to choosing from the list of available goals.
-- `description`:
-- `starter-prompt`:
-- `example_conversation_history`:
+- `tools`: the list of tools the goal will walk the user through. These will be defined in the [tools/tool_registry.py](tools/tool_registry.py) and should be defined in list form as tool_registry.[name of tool]
+- Important! The last tool listed must be `list_agents_tool`. This allows the chatbot to guide the user back to choosing from the list of available goals once a goal is complete.<br />
+Example:
+```
+tools=[
+    tool_registry.current_pto_tool,
+    tool_registry.future_pto_calc_tool,
+    tool_registry.book_pto_tool,
+    tool_registry.list_agents_tool,
+]
+```
+- `description`: LLM-facing description of the goal that lists the tools by name and purpose.
+- `starter-prompt`: LLM-facing first prompt given to begin the scenario. This field can contain instructions that are different from other goals, like "begin by providing the output of the first tool" rather than waiting on user confirmation. (See [goal_choose_agent_type](tools/goal_registry.py) for an example.)
+- `example_conversation_history`: LLM-facing sample conversation/interaction regarding the goal. See the existing goals for how to structure this.
 4. Add your new goal to the `goal_list` at the bottom using `goal_list.append(your_super_sweet_new_goal)`
 
 ### Adding Tools
 
 #### Notes
-Tools can be optional - you can indicate this in the tool listing of goal description (see above section re: goal registry) by adding something like, "This step is optional and can be skipped by moving to the next tool." Here is an example from the CalendarConflict tool/step of the [goal_hr_schedule_pto](tools/goal_registry.py#L134) goal:
+Tools can be optional - you can indicate this in the tool listing of goal description (see above section re: goal registry) by adding something like, "This step is optional and can be skipped by moving to the next tool." Here is an example from an older iteration of the `goal_hr_schedule_pto` goal, when it was going to have an optional step to check for existing calendar conflicts:
 
 ```
 description="Help the user gather args for these tools in order: "
@@ -31,20 +40,26 @@ description="Help the user gather args for these tools in order: "
 ```
 
 #### Add to Tool Registry
-- `tool_registry.py` contains the mapping of tool names to tool definitions (so the AI understands how to use them)
-- `name`:
-- `description`:
-- `arguments`: These are the _input_ arguments to the tool.
+1.  Open [/tools/tool_registry.py](tools/tool_registry.py) - this file contains mapping of tool names to tool definitions (so the AI understands how to use them)
+2. Define the tool
+- `name`: name of the tool - this is the name as defined in the goal description list of tools. The name should be (sort of) the same as the tool name given in the goal description. So, if the description lists "CurrentPTO" as a tool, the name here should be `current_pto_tool`.
+- `description`: LLM-facing description of tool
+- `arguments`: These are the _input_ arguments to the tool. Each input argument should be defined as a [/models/tool_definitions.py](ToolArgument). Tools don't have to have arguments but the arguments list has to be declared. If the tool you're creating doesn't have inputs, define arguments as `arguments=[]`
 
 #### Create Each Tool
-- The tools themselves are defined in their own files in `/tools` - you can add a subfolder to organize them
-- The file name and function name will be the same as each other and should also be the same as the name of the tool, without "tool" - so future_pto_tool would be future_pto.py with a function named future_pto within it.
+- The tools themselves are defined in their own files in `/tools` - you can add a subfolder to organize them, see the hr tools for an example.
+- The file name and function name will be the same as each other and should also be the same as the name of the tool, without "tool" - so `current_pto_tool` would be `current_pto.py` with a function named `current_pto` within it.
 - The function should have `args: dict` as the input and also return a `dict`
 - The return dict should match the output format you specified in the goal's `example_conversation_history`
 - tools are where the user input+model output becomes deterministic. Add validation here to make sure what the system is doing is valid and acceptable
 
 #### Add to `tools/__init__.py`
 - In `tools/__init__.py`, add an import statement for each new tool as well as an applicable return statement in `get_handler`. The tool name here should match the tool name as described in the goal's `description` field.
+Example:
+```
+if tool_name == "CurrentPTO":
+    return current_pto
+```
 
 ### Configuring the Starting Goal
 
diff --git a/tools/__init__.py b/tools/__init__.py
index 70dd16d..c27b8c2 100644
--- a/tools/__init__.py
+++ b/tools/__init__.py
@@ -12,6 +12,9 @@ from .hr.current_pto import current_pto
 from .hr.book_pto import book_pto
 from .hr.future_pto_calc import future_pto_calc
 
+from .give_hint import give_hint
+from .guess_location import guess_location
+
 
 def get_handler(tool_name: str):
     if tool_name == "SearchFixtures":
@@ -38,5 +41,9 @@ def get_handler(tool_name: str):
         return book_pto
     if tool_name == "FuturePTOCalc":
         return future_pto_calc
+    if tool_name == "GiveHint":
+        return give_hint
+    if tool_name == "GuessLocation":
+        return guess_location
 
     raise ValueError(f"Unknown tool: {tool_name}")
diff --git a/tools/give_hint.py b/tools/give_hint.py
new file mode 100644
index 0000000..a8072ad
--- /dev/null
+++ b/tools/give_hint.py
@@ -0,0 +1,42 @@
+TREASURE_LOCATION = {
+        "address": "300 Lenora",
+        "city": "Seattle",
+        "state_full": "Washington",
+        "state_abbrev": "WA",
+        "zip": "98121",
+        "country": "USA"
+}
+
+HINTS = [
+    "state of Washington",
+    "city of Seattle",
+    "at a company HQ",
+]
+''' Grok provided hints:
+Here are additional company-specific clues about Temporal that could help players in your game guess the address (300 Lenora St, Seattle, WA) by focusing on the company itself. These are designed to be intriguing and game-friendly:
+
+"This company was founded by two engineers who previously worked on a system named after a South American river at Uber."
+"Their platform is all about orchestrating workflows that can survive failures—like a conductor keeping the music going."
+"They offer a tool that lets developers write code as if it’s running forever, no matter what crashes."
+"The company’s tech traces its roots to a project called Cadence, which they took to the next level."
+"Their mission is tied to making distributed systems feel as simple as writing a single app."
+"They’ve got a knack for ‘durability’—both in their software and their growing reputation."
+"This outfit spun out of experiences at AWS and Uber, blending cloud and ride-sharing know-how."
+"Their open-source framework has a community that’s ticking along, fixing bugs and adding features daily."
+"They’re backed by big venture capital names like Sequoia, betting on their vision for reliable software."
+"The company’s name might remind you of a word for something fleeting, yet their tech is built to last."'''
+
+def give_hint(args: dict) -> dict:
+    hint_total = args.get("hint_total")
+    if hint_total is None:
+        hint_total = 0
+    
+    index = hint_total % len(HINTS)
+    hint_text = HINTS[index]
+
+    print(f"hint_total: {hint_total}, length: {len(HINTS)}, index: {index}")
+    hint_total = hint_total + 1
+    return {
+        "hint_number": hint_total,
+        "hint": hint_text 
+    }
\ No newline at end of file
diff --git a/tools/goal_registry.py b/tools/goal_registry.py
index 369f10c..6daa981 100644
--- a/tools/goal_registry.py
+++ b/tools/goal_registry.py
@@ -47,6 +47,55 @@ goal_choose_agent_type = AgentGoal(
     ),
 )
 
+# Easter egg - if silly mode = a pirate, include goal_pirate_treasure as a "system" goal so it always shows up.
+# Can also turn make this goal available by setting the GOAL_CATEGORIES in the env file to include 'pirate', but if SILLY_MODE
+#   is not 'a pirate', the interaction as a whole will be less pirate-y.
+pirate_category_tag = "pirate"
+if SILLY_MODE == "a pirate":
+    pirate_category_tag = "system"
+goal_pirate_treasure = AgentGoal(
+    id = "goal_pirate_treasure",
+    category_tag=pirate_category_tag,
+    agent_name="Arrr, Find Me Treasure!",
+    agent_friendly_description="Sail the high seas and find me pirate treasure, ye land lubber!",
+    tools=[
+        tool_registry.give_hint_tool,
+        tool_registry.guess_location_tool,
+        tool_registry.list_agents_tool, 
+    ],
+    description="The user wants to find a pirate treasure. "
+        "Help the user gather args for these tools, in a loop, until treasure_found is True or the user requests to be done: "
+        "1. GiveHint: If the user wants a hint regarding the location of the treasure, give them a hint. If they do not want a hint, this tool is optional."
+        "2. GuessLocation: The user guesses where the treasure is, by giving an address. ",
+    starter_prompt=starter_prompt_generic,
+    example_conversation_history="\n ".join(
+        [
+            "user: I'd like to try to find the treasure",
+            "agent: Sure! Do you want a hint?",
+            "user: yes",
+            "agent: Here is hint number 1!",
+            "user_confirmed_tool_run: <user clicks confirm on GiveHint tool>",
+            "tool_result: { 'hint_number': 1, 'hint': 'The treasure is in the state of Arizona.' }",
+            "agent: The treasure is in the state of Arizona. Would you like to guess the address of the treasure? ",
+            "user: Yes, address is 123 Main St Phoenix, AZ",
+            "agent: Let's see if you found the treasure...",
+            "user_confirmed_tool_run: <user clicks confirm on GuessLocation tool>"
+            "tool_result: {'treasure_found':False}",
+            "agent: Nope, that's not the right location! Do you want another hint?",
+            "user: yes",
+            "agent: Here is hint number 2.",
+            "user_confirmed_tool_run: <user clicks confirm on GiveHint tool>",
+            "tool_result: { 'hint_number': 2, 'hint': 'The treasure is in the city of Tucson, AZ.' }",
+            "agent: The treasure is in the city of Tucson, AZ. Would you like to guess the address of the treasure? ",
+            "user: Yes, address is 456 Main St Tucson, AZ",
+            "agent: Let's see if you found the treasure...",
+            "user_confirmed_tool_run: <user clicks confirm on GuessLocation tool>",
+            "tool_result: {'treasure_found':True}",
+            "agent: Congratulations, Land Lubber, you've found the pirate treasure!",
+        ]
+    ),
+)
+
 goal_match_train_invoice = AgentGoal(
     id = "goal_match_train_invoice",
     category_tag="travel",
@@ -181,6 +230,7 @@ goal_hr_schedule_pto = AgentGoal(
 #Add the goals to a list for more generic processing, like listing available agents
 goal_list: List[AgentGoal] = []
 goal_list.append(goal_choose_agent_type)
+goal_list.append(goal_pirate_treasure)
 goal_list.append(goal_event_flight_invoice)
 goal_list.append(goal_match_train_invoice)
 goal_list.append(goal_hr_schedule_pto)
diff --git a/tools/guess_location.py b/tools/guess_location.py
new file mode 100644
index 0000000..e15dda9
--- /dev/null
+++ b/tools/guess_location.py
@@ -0,0 +1,18 @@
+from .give_hint import TREASURE_LOCATION
+
+def guess_location(args: dict) -> dict:
+    
+    guess_address = args.get("address").lower()
+    guess_city = args.get("city").lower()
+    guess_state = args.get("state").lower()
+
+    if len(guess_state) == 2:
+        compare_state = TREASURE_LOCATION.get("state_abbrev").lower()
+    else:
+        compare_state = TREASURE_LOCATION.get("state_full").lower()
+
+    #Check for the street address to be included in the guess to account for "st" vs "street" or leaving Street off entirely
+    if TREASURE_LOCATION.get("address").lower() in guess_address and TREASURE_LOCATION.get("city").lower() == guess_city and compare_state == guess_state:
+        return {"treasure_found": "True"}
+    else:
+        return {"treasure_found": "False"}
\ No newline at end of file
diff --git a/tools/tool_registry.py b/tools/tool_registry.py
index e641ae3..74ecd1a 100644
--- a/tools/tool_registry.py
+++ b/tools/tool_registry.py
@@ -1,5 +1,5 @@
 from models.tool_definitions import ToolDefinition, ToolArgument
-
+# ----- System tools -----
 list_agents_tool = ToolDefinition(
     name="ListAgents",
     description="List available agents to interact with, pulled from goal_registry. ",
@@ -18,6 +18,39 @@ change_goal_tool = ToolDefinition(
     ],
 )
 
+give_hint_tool = ToolDefinition(
+    name="GiveHint",
+    description="Give a hint to the user regarding the location of the pirate treasure. Use previous conversation to determine the hint_total, it should initially be 0 ",
+    arguments=[        
+        ToolArgument(
+            name="hint_total",
+            type="number",
+            description="How many hints have been given",
+        ),],
+)
+
+guess_location_tool = ToolDefinition(
+    name="GuessLocation",
+    description="Allow the user to guess the location (in the form of an address) of the pirate treasure. ",
+    arguments=[
+        ToolArgument(
+            name="address",
+            type="string",
+            description="Address at which the user is guessing the treasure is located",
+        ),
+        ToolArgument(
+            name="city",
+            type="string",
+            description="City at which the user is guessing the treasure is located",
+        ),
+        ToolArgument(
+            name="state",
+            type="string",
+            description="State at which the user is guessing the treasure is located",
+        ),
+    ],
+)
+# ----- Travel use cases tools -----
 search_flights_tool = ToolDefinition(
     name="SearchFlights",
     description="Search for return flights from an origin to a destination within a date range (dateDepart, dateReturn).",
@@ -143,6 +176,7 @@ find_events_tool = ToolDefinition(
     ],
 )
 
+# ----- HR use cases tools -----
 current_pto_tool = ToolDefinition(
     name="CurrentPTO",
     description="Find how much PTO a user currently has accrued. "
@@ -179,23 +213,6 @@ future_pto_calc_tool = ToolDefinition(
     ],
 )
 
-calendar_conflict_tool = ToolDefinition(
-    name="CalendarConflict",
-    description="Determine if the proposed PTO date(s) have conflicts. Returns list of conflicts. ",
-    arguments=[
-        ToolArgument(
-            name="check_self_calendar",
-            type="boolean",
-            description="Check self calendar for conflicts?",
-        ),
-        ToolArgument(
-            name="check_team_calendar",
-            type="boolean",
-            description="Check team calendar for conflicts?",
-        ),
-    ],
-)
-
 book_pto_tool = ToolDefinition(
     name="BookPTO",
     description="Book PTO start and end date. Either 1) makes calendar item, or 2) sends calendar invite to self and boss? "

From f2ab6c03e8c95156eca2d10ac1b6a389b1d740f1 Mon Sep 17 00:00:00 2001
From: Laine <lainelminor@gmail.com>
Date: Tue, 18 Mar 2025 09:18:16 -0400
Subject: [PATCH 51/98] Remove sample conversation re: conflict checking

---
 tools/goal_registry.py | 9 ++-------
 1 file changed, 2 insertions(+), 7 deletions(-)

diff --git a/tools/goal_registry.py b/tools/goal_registry.py
index 6daa981..67b5cc0 100644
--- a/tools/goal_registry.py
+++ b/tools/goal_registry.py
@@ -213,13 +213,8 @@ goal_hr_schedule_pto = AgentGoal(
             "agent: Let's check if you'll have enough PTO accrued by Dec 1 of this year to accomodate that.",
             "user_confirmed_tool_run: <user clicks confirm on FuturePTO tool>"
             'tool_result: {"enough_pto": True, "pto_hrs_remaining_after": 410}',
-            "agent: You do in fact have enough PTO to accommodate that, and will have 410 hours remaining after you come back. Do you want to check calendars for conflicts? If so, please provide one of the following: self, team, or both "
-            "user: both ",
-            "agent: Okay, checking both calendars for conflicts ",
-            "user_confirmed_tool_run: <user clicks confirm on CheckCalendarConflict tool>",
-            'tool_result: { "calendar": "self", "title": "Meeting with Karen", "date": "2025-12-02", "time": "10:00AM"}',
-            "agent: On your calendar, you have a conflict: Meeting with Karen at 10AM Dec 2, 2025. Do you want to book the PTO?"
-            "user: yes "
+            "agent: You do in fact have enough PTO to accommodate that, and will have 410 hours remaining after you come back. Do you want to book the PTO? ",
+            "user: yes ",
             "user_confirmed_tool_run: <user clicks confirm on BookPTO tool>",
             'tool_result: { "status": "success" }',
             "agent: PTO successfully booked! ",

From bd1cfbad01f25a04165eec630bc54ddce1a3fb1e Mon Sep 17 00:00:00 2001
From: Joshua Smith <joshmsmith@gmail.com>
Date: Tue, 18 Mar 2025 15:44:03 -0400
Subject: [PATCH 52/98] two more HR scenarios added

---
 adding-goals-and-tools.md      |  3 +-
 tools/__init__.py              |  3 ++
 tools/goal_registry.py         | 55 ++++++++++++++++++++++++++++++++++
 tools/hr/checkpaybankstatus.py | 15 ++++++++++
 tools/tool_registry.py         | 13 ++++++++
 5 files changed, 88 insertions(+), 1 deletion(-)
 create mode 100644 tools/hr/checkpaybankstatus.py

diff --git a/adding-goals-and-tools.md b/adding-goals-and-tools.md
index db5878b..c1630b5 100644
--- a/adding-goals-and-tools.md
+++ b/adding-goals-and-tools.md
@@ -5,7 +5,7 @@ It may be helpful to review the [architecture](./architecture.md) for a guide an
 
 ### Adding a Goal
 1.  Open [/tools/goal_registry.py](tools/goal_registry.py) - this file contains descriptions of goals and the tools used to achieve them
-2. Pick a name for your goal!
+2. Pick a name for your goal! (such as "goal_hr_schedule_pto")
 3. Fill out the required elements:
 -  `id`: needs to be the same as the name
 - `agent_name`: user-facing name for the agent/chatbot
@@ -61,6 +61,7 @@ if tool_name == "CurrentPTO":
     return current_pto
 ```
 
+TODO probably update this it's out of date :point_down:
 ### Configuring the Starting Goal
 
 The agent can be configured to pursue different goals using the `AGENT_GOAL` environment variable in your `.env` file.
diff --git a/tools/__init__.py b/tools/__init__.py
index c27b8c2..41f85c4 100644
--- a/tools/__init__.py
+++ b/tools/__init__.py
@@ -11,6 +11,7 @@ from .transfer_control import transfer_control
 from .hr.current_pto import current_pto
 from .hr.book_pto import book_pto
 from .hr.future_pto_calc import future_pto_calc
+from .hr.checkpaybankstatus import checkpaybankstatus
 
 from .give_hint import give_hint
 from .guess_location import guess_location
@@ -41,6 +42,8 @@ def get_handler(tool_name: str):
         return book_pto
     if tool_name == "FuturePTOCalc":
         return future_pto_calc
+    if tool_name == "CheckPayBankStatus":
+        return checkpaybankstatus
     if tool_name == "GiveHint":
         return give_hint
     if tool_name == "GuessLocation":
diff --git a/tools/goal_registry.py b/tools/goal_registry.py
index 67b5cc0..ba60843 100644
--- a/tools/goal_registry.py
+++ b/tools/goal_registry.py
@@ -222,6 +222,58 @@ goal_hr_schedule_pto = AgentGoal(
     ),
 )
 
+# This goal uses the data/employee_pto_data.json file as dummy data.
+goal_hr_check_pto = AgentGoal(
+    id = "goal_hr_check_pto",
+    category_tag="hr",
+    agent_name="Check PTO Amount",
+    agent_friendly_description="Check your available PTO.",   
+    tools=[
+        tool_registry.current_pto_tool,
+        tool_registry.list_agents_tool, #last tool must be list_agents to fasciliate changing back to picking an agent again at the end
+    ],
+    description="The user wants to check their paid time off (PTO) after today's date. To assist with that goal, help the user gather args for these tools in order: "
+    "1. CurrentPTO: Tell the user how much PTO they currently have ",
+    starter_prompt=starter_prompt_generic,
+    example_conversation_history="\n ".join(
+        [
+            "user: I'd like to check my time off amounts at the current time",
+            "agent: Sure! I can help you out with that. May I have your email address?",
+            "user: bob.johnson@emailzzz.com",
+            "agent: Great! I can tell you how much PTO you currently have accrued.",
+            "user_confirmed_tool_run: <user clicks confirm on CurrentPTO tool>",
+            "tool_result: { 'num_hours': 400, 'num_days': 50 }",
+            "agent: You have 400 hours, or 50 days, of PTO available.",
+        ]
+    ),
+)
+
+# This goal uses the data/employee_pto_data.json file as dummy data.
+goal_hr_check_paycheck_bank_integration_status = AgentGoal(
+    id = "goal_hr_check_paycheck_bank_integration_status",
+    category_tag="hr",
+    agent_name="Check paycheck bank integration status",
+    agent_friendly_description="Check your available PTO.",   
+    tools=[
+        tool_registry.paycheck_bank_integration_status_check,
+        tool_registry.list_agents_tool, #last tool must be list_agents to fasciliate changing back to picking an agent again at the end
+    ],
+    description="The user wants to check their bank integration used to deposit their paycheck. To assist with that goal, help the user gather args for these tools in order: "
+    "1. CheckPayBankStatus: Tell the user the status of their paycheck bank integration ",
+    starter_prompt=starter_prompt_generic,
+    example_conversation_history="\n ".join(
+        [
+            "user: I'd like to check paycheck bank integration",
+            "agent: Sure! I can help you out with that. May I have your email address?",
+            "user: bob.johnson@emailzzz.com",
+            "agent: Great! I can tell you what the status is for your paycheck bank integration.",
+            "user_confirmed_tool_run: <user clicks confirm on CheckPayBankStatus tool>",
+            "tool_result: { 'status': connected }",
+            "agent: Your paycheck bank deposit integration is properly connected.",
+        ]
+    ),
+)
+
 #Add the goals to a list for more generic processing, like listing available agents
 goal_list: List[AgentGoal] = []
 goal_list.append(goal_choose_agent_type)
@@ -229,3 +281,6 @@ goal_list.append(goal_pirate_treasure)
 goal_list.append(goal_event_flight_invoice)
 goal_list.append(goal_match_train_invoice)
 goal_list.append(goal_hr_schedule_pto)
+goal_list.append(goal_hr_check_pto)
+goal_list.append(goal_hr_check_paycheck_bank_integration_status)
+
diff --git a/tools/hr/checkpaybankstatus.py b/tools/hr/checkpaybankstatus.py
new file mode 100644
index 0000000..0f98e71
--- /dev/null
+++ b/tools/hr/checkpaybankstatus.py
@@ -0,0 +1,15 @@
+from pathlib import Path
+import json
+
+
+def checkpaybankstatus(args: dict) -> dict:
+    
+    email = args.get("email")
+
+    if email == "grinch@grinch.com":
+        print("THE GRINCH IS FOUND!")
+        return {"status": "no money for the grinch"}
+
+    # could do logic here or look up data but for now everyone but the grinch is getting paid
+    return_msg = "connected"
+    return {"status": return_msg}
\ No newline at end of file
diff --git a/tools/tool_registry.py b/tools/tool_registry.py
index 74ecd1a..79a4225 100644
--- a/tools/tool_registry.py
+++ b/tools/tool_registry.py
@@ -239,4 +239,17 @@ book_pto_tool = ToolDefinition(
             description="Indication of user's desire to book PTO",
         ),
     ],
+)
+
+paycheck_bank_integration_status_check = ToolDefinition(
+    name="CheckPayBankStatus",
+    description="Check status of Bank Integration for Paychecks. "
+    "Returns the status of the bank integration, connected or disconnected. ",
+    arguments=[
+        ToolArgument(
+            name="email",
+            type="string",
+            description="email address of user",
+        ),
+    ],
 )
\ No newline at end of file

From c20f5d796f51454ed45d4306ab9e8a762d1ff1bc Mon Sep 17 00:00:00 2001
From: Joshua Smith <joshmsmith@gmail.com>
Date: Wed, 19 Mar 2025 07:49:06 -0400
Subject: [PATCH 53/98] updating docs and todo

---
 adding-goals-and-tools.md |  8 ++++++++
 todo.md                   | 10 +++++-----
 2 files changed, 13 insertions(+), 5 deletions(-)

diff --git a/adding-goals-and-tools.md b/adding-goals-and-tools.md
index c1630b5..634a27f 100644
--- a/adding-goals-and-tools.md
+++ b/adding-goals-and-tools.md
@@ -3,12 +3,20 @@ The agent is set up to allow for multiple goals and to switch back to choosing a
 
 It may be helpful to review the [architecture](./architecture.md) for a guide and definition of goals, tools, etc.
 
+### Adding a New Goal Category
+Goal Categories lets you pick which groups of goals to show. Set via an .env setting, GOAL_CATEGORIES.
+1. Pick a unique one that has some business meaning
+2. Use it in your .env file
+3. Add to [.env.example](./.env.example)
+4. Use it in your Goal definition, see below.
+
 ### Adding a Goal
 1.  Open [/tools/goal_registry.py](tools/goal_registry.py) - this file contains descriptions of goals and the tools used to achieve them
 2. Pick a name for your goal! (such as "goal_hr_schedule_pto")
 3. Fill out the required elements:
 -  `id`: needs to be the same as the name
 - `agent_name`: user-facing name for the agent/chatbot
+- `category_tag`: category for the goal
 - `agent_friendly_description`: user-facing description of what the agent/chatbot does
 - `tools`: the list of tools the goal will walk the user through. These will be defined in the [tools/tool_registry.py](tools/tool_registry.py) and should be defined in list form as tool_registry.[name of tool]
 - Important! The last tool listed must be `list_agents_tool`. This allows the chatbot to guide the user back to choosing from the list of available goals once a goal is complete.<br />
diff --git a/todo.md b/todo.md
index f0f7596..e1219ea 100644
--- a/todo.md
+++ b/todo.md
@@ -1,20 +1,20 @@
 # todo list
 [ ] add confirmation env setting to setup guide <br />
  <br />
-[ ] how to add more scenarios, tools <br />
-
+[x] how to add more scenarios, tools <br />
+[ ] make agent respond to name of goals and not just numbers
+[ ] L look at slides
+[ ] josh to do fintech scenarios
 [ ] create tests<br />
 [ ] fix logging statements not to be all warn, maybe set logging level to info
 
 [ ] create people management scenarios <br />
 
-[ ] 2. Others:
--- check pay status <br />
+[ ] 2. Others HR goals:
 -- book work travel <br />
 -- check insurance coverages <br />
 -- expense management <br />
 -- check in on the health of the team <br />
--- check pto
 
 [x] demo the reasons why: <br />
 - Orchestrate interactions across distributed data stores and tools <br />

From 850404e0d591a0040f760d9df980888c420fecd9 Mon Sep 17 00:00:00 2001
From: Joshua Smith <joshmsmith@gmail.com>
Date: Wed, 19 Mar 2025 08:08:38 -0400
Subject: [PATCH 54/98] updaates to readme, docs, added some logging in case
 goal setting goes bad

---
 README.md                        | 20 ++-----------------
 adding-goals-and-tools.md        | 17 ++++++++--------
 architecture-decisions.md        | 33 ++++++++++++++++++++++++++++++++
 setup.md                         | 13 +++++++++++--
 todo.md                          | 27 +++++++++-----------------
 workflows/agent_goal_workflow.py |  5 +++--
 6 files changed, 66 insertions(+), 49 deletions(-)
 create mode 100644 architecture-decisions.md

diff --git a/README.md b/README.md
index 7650d7d..1a2fad2 100644
--- a/README.md
+++ b/README.md
@@ -9,24 +9,8 @@ It's really helpful to [watch the demo (5 minute YouTube video)](https://www.you
 [![Watch the demo](./assets/agent-youtube-screenshot.jpeg)](https://www.youtube.com/watch?v=GEXllEH2XiQ)
 
 ## Why Temporal?
-There are a lot of AI and Agentic AI tools out there, and more on the way. But why Temporal? I asked one of the AI models used in this demo to answer this question (edited minorly):
-
-### Reliability and State Management:
- Temporal ensures durability and fault tolerance, which are critical for agentic AI systems that involve long-running, complex workflows. For example, it preserves application state across failures, allowing AI agents to resume from where they left off without losing progress. Major AI companies use this for research experiments and agentic flows, where reliability is essential for continuous exploration.
-### Handling Complex, Dynamic Workflows: 
-Agentic AI often involves unpredictable, multi-step processes like web crawling or data searching. Temporal’s workflow orchestration simplifies managing these tasks by abstracting complexity, providing features like retries, timeouts, and signals/queries. Temporal makes observability and resuming failed complex experiments and deep searches simple.
-### Scalability and Speed: 
-Temporal enables rapid development and scaling, crucial for AI systems handling large-scale experiments or production workloads. AI model deployment and SRE teams use it to get code to production quickly with scale as a focus, while research teams can (and do!) run hundreds of experiments daily. Temporal customers report a significant reduction in development time (e.g., 20 weeks to 2 weeks for a feature).
-### Observability and Debugging: 
-Agentic AI systems need insight into where processes succeed or fail. Temporal provides end-to-end visibility and durable workflow history, which Temporal customers are using to track agentic flows and understand failure points.
-### Simplified Error Handling: 
-Temporal abstracts failure management (e.g., retries, rollbacks) so developers can focus on AI logic rather than "plumbing" code. This is vital for agentic AI, where external interactions (e.g., APIs, data sources) are prone to failure.
-### Flexibility for Experimentation: 
-For research-heavy agentic AI, Temporal supports dynamic, code-first workflows and easy integration of new signals/queries, aligning with researchers needs to iterate quickly on experimental paths.
-
-In essence, Temporal’s value lies in its ability to make agentic AI systems more reliable, scalable, and easier to develop by handling the underlying complexity of distributed workflows for both research and applied AI tasks.
-
-Temporal was built to solve the problems of distributed computing, including scalability, reliability, security, visibility, and complexity. Agentic AI systems are complex distributed systems, so Temporal should fit well. Scaling, security, and productionalization are major pain points in March 2025 for building agentic systems.
+There are a lot of AI and Agentic AI tools out there, and more on the way. But why Temporal? Temporal gives this system reliablity, state management, a code-first approach that we really like, built-in observability and easy error handling.
+For more, check out [architecture-decisions](./architecture-decisions.md).
 
 ## Setup and Configuration
 See [the Setup guide](./setup.md).
diff --git a/adding-goals-and-tools.md b/adding-goals-and-tools.md
index 634a27f..ec5a3f3 100644
--- a/adding-goals-and-tools.md
+++ b/adding-goals-and-tools.md
@@ -69,26 +69,25 @@ if tool_name == "CurrentPTO":
     return current_pto
 ```
 
-TODO probably update this it's out of date :point_down:
-### Configuring the Starting Goal
+### Existing Travel Goals
 
 The agent can be configured to pursue different goals using the `AGENT_GOAL` environment variable in your `.env` file.
 
 #### Goal: Find an event in Australia / New Zealand, book flights to it and invoice the user for the cost
 - `AGENT_GOAL=goal_event_flight_invoice` (default) - Helps users find events, book flights, and arrange train travel with invoice generation
-    - This is the scenario in the video above
+    - This is the scenario in the [original video](https://www.youtube.com/watch?v=GEXllEH2XiQ)
 
 #### Goal: Find a Premier League match, book train tickets to it and invoice the user for the cost
 - `AGENT_GOAL=goal_match_train_invoice` - Focuses on Premier League match attendance with train booking and invoice generation
-    - This is a new goal that is part of an upcoming conference talk
+    - This is a new goal that is part of the [Replay 2025 talk](https://www.youtube.com/watch?v=YDxAWrIBQNE).
 
-If not specified, the agent defaults to `goal_event_flight_invoice`. Each goal comes with its own set of tools and conversation flows designed for specific use cases. You can examine `tools/goal_registry.py` to see the detailed configuration of each goal.
+If not specified, the agent defaults to all goals. Each goal, including these, comes with its own set of tools and conversation flows designed for specific use cases. You can examine `tools/goal_registry.py` to see the detailed configuration of each goal.
 
-See the next section for tool configuration for each goal.
+See the next section for tool configuration for these goals.
 
-### Configuring Existing Tools
+#### Configuring Travel Goal Tools
 
-#### Agent Goal: goal_event_flight_invoice (default)
+##### Agent Goal: goal_event_flight_invoice (default)
 * The agent uses a mock function to search for events. This has zero configuration.
 * By default the agent uses a mock function to search for flights.
     * If you want to use the real flights API, go to `tools/search_flights.py` and replace the `search_flights` function with `search_flights_real_api` that exists in the same file.
@@ -98,7 +97,7 @@ See the next section for tool configuration for each goal.
     * It's free to sign up and get a key at [Stripe](https://stripe.com/)
     * If you're lazy go to `tools/create_invoice.py` and replace the `create_invoice` function with the mock `create_invoice_example` that exists in the same file.
 
-#### Agent Goal: goal_match_train_invoice
+##### Agent Goal: goal_match_train_invoice
 
 * Finding a match requires a key from [Football Data](https://www.football-data.org). Sign up for a free account, then see the 'My Account' page to get your API token. Set `FOOTBALL_DATA_API_KEY` to this value.
     * If you're lazy go to `tools/search_fixtures.py` and replace the `search_fixtures` function with the mock `search_fixtures_example` that exists in the same file.
diff --git a/architecture-decisions.md b/architecture-decisions.md
new file mode 100644
index 0000000..7c146d1
--- /dev/null
+++ b/architecture-decisions.md
@@ -0,0 +1,33 @@
+# Architecture Decisions
+This documents some of the "why" behind the [architecture](./architecture.md). 
+
+## AI Models
+We wanted to have flexibility to use different models, because this space is changing rapidly and models get better regularly.
+Also, for you, we wanted to let you pick your model of choice. The system is designed to make changing models out simple. For how to do that, checkout the [setup guide](./setup.md).
+
+## Temporal
+We asked one of the AI models used in this demo to answer this question (edited minorly):
+
+### Reliability and State Management:
+ Temporal ensures durability and fault tolerance, which are critical for agentic AI systems that involve long-running, complex workflows. For example, it preserves application state across failures, allowing AI agents to resume from where they left off without losing progress. Major AI companies use this for research experiments and agentic flows, where reliability is essential for continuous exploration.
+### Handling Complex, Dynamic Workflows: 
+Agentic AI often involves unpredictable, multi-step processes like web crawling or data searching. Temporal’s workflow orchestration simplifies managing these tasks by abstracting complexity, providing features like retries, timeouts, and signals/queries. Temporal makes observability and resuming failed complex experiments and deep searches simple.
+### Scalability and Speed: 
+Temporal enables rapid development and scaling, crucial for AI systems handling large-scale experiments or production workloads. AI model deployment and SRE teams use it to get code to production quickly with scale as a focus, while research teams can (and do!) run hundreds of experiments daily. Temporal customers report a significant reduction in development time (e.g., 20 weeks to 2 weeks for a feature).
+### Observability and Debugging: 
+Agentic AI systems need insight into where processes succeed or fail. Temporal provides end-to-end visibility and durable workflow history, which Temporal customers are using to track agentic flows and understand failure points.
+### Simplified Error Handling: 
+Temporal abstracts failure management (e.g., retries, rollbacks) so developers can focus on AI logic rather than "plumbing" code. This is vital for agentic AI, where external interactions (e.g., APIs, data sources) are prone to failure.
+### Flexibility for Experimentation: 
+For research-heavy agentic AI, Temporal supports dynamic, code-first workflows and easy integration of new signals/queries, aligning with researchers needs to iterate quickly on experimental paths.
+
+In essence, Temporal’s value lies in its ability to make agentic AI systems more reliable, scalable, and easier to develop by handling the underlying complexity of distributed workflows for both research and applied AI tasks.
+
+Temporal was built to solve the problems of distributed computing, including scalability, reliability, security, visibility, and complexity. Agentic AI systems are complex distributed systems, so Temporal should fit well. Scaling, security, and productionalization are major pain points in March 2025 for building agentic systems.
+
+In this system Temporal lets you:
+- Orchestrate interactions across distributed data stores and tools <br />
+- Hold state, potentially over long periods of time <br />
+- Ability to ‘self-heal’ and retry until the (probabilistic) LLM returns valid data <br />
+- Support for human intervention such as approvals <br />
+- Parallel processing for efficiency of data retrieval and tool use <br />
\ No newline at end of file
diff --git a/setup.md b/setup.md
index 5f20618..1afa4c1 100644
--- a/setup.md
+++ b/setup.md
@@ -1,4 +1,5 @@
-## Configuration
+# Setup Guide
+## Initial Configuration
 
 This application uses `.env` files for configuration. Copy the [.env.example](.env.example) file to `.env` and update the values:
 
@@ -6,6 +7,12 @@ This application uses `.env` files for configuration. Copy the [.env.example](.e
 cp .env.example .env
 ```
 
+Then add API keys, configuration, as desired.
+If you want to show confirmations/enable the debugging UI, set
+```bash
+SHOW_CONFIRM=True
+```
+
 ### Agent Goal Configuration
 
 The agent can be configured to pursue different goals using the `AGENT_GOAL` environment variable in your `.env` file.
@@ -173,4 +180,6 @@ If you're running your train API above on a different host/port then change the
 - `tool_registry.py` contains the mapping of tool names to tool definitions (so the AI understands how to use them)
 - `goal_registry.py` contains descriptions of goals and the tools used to achieve them
 - The tools themselves are defined in their own files in `/tools`
-- Note the mapping in `tools/__init__.py` to each tool
\ No newline at end of file
+- Note the mapping in `tools/__init__.py` to each tool
+
+For more details, check out [adding goals and tools guide](./adding-goals-and-tools.md).
\ No newline at end of file
diff --git a/todo.md b/todo.md
index e1219ea..a30eeed 100644
--- a/todo.md
+++ b/todo.md
@@ -1,34 +1,25 @@
 # todo list
-[ ] add confirmation env setting to setup guide <br />
+[x] add confirmation env setting to setup guide <br />
  <br />
-[x] how to add more scenarios, tools <br />
-[ ] make agent respond to name of goals and not just numbers
-[ ] L look at slides
-[ ] josh to do fintech scenarios
-[ ] create tests<br />
-[ ] fix logging statements not to be all warn, maybe set logging level to info
+[ ] try claude-3-7-sonnet-20250219, see [tool_activities.py](./activities/tool_activities.py) <br />
+[ ] make agent respond to name of goals and not just numbers <br />
+[x] L look at slides <br />
+[ ] josh to do fintech scenarios <br />
+[ ] expand [tests](./tests/agent_goal_workflow_test.py)<br />
+[x] fix logging statements not to be all warn, maybe set logging level to info <br />
 
-[ ] create people management scenarios <br />
+[x] create people management scenarios <br />
 
-[ ] 2. Others HR goals:
+[ ] 2. Others HR goals:  <br />
 -- book work travel <br />
 -- check insurance coverages <br />
 -- expense management <br />
 -- check in on the health of the team <br />
 
-[x] demo the reasons why: <br />
-- Orchestrate interactions across distributed data stores and tools <br />
-- Hold state, potentially over long periods of time <br />
-- Ability to ‘self-heal’ and retry until the (probabilistic) LLM returns valid data <br />
-- Support for human intervention such as approvals <br />
-- Parallel processing for efficiency of data retrieval and tool use <br />
 
 [ ] ask the ai agent how it did at the end of the conversation, was it efficient? successful? insert a search attribute to document that before return
 - Insight into the agent’s performance <br />
 
-[x] customize prompts in [workflow to manage scenario](./workflows/tool_workflow.py)<br />
-[x] add in new tools? <br />
-
 [ ] non-retry the api key error - "Invalid API Key provided: sk_test_**J..." and "AuthenticationError" <br />
 [ ] make it so you can yeet yourself out of a goal and pick a new one <br />
 
diff --git a/workflows/agent_goal_workflow.py b/workflows/agent_goal_workflow.py
index d52e9ab..4699e86 100644
--- a/workflows/agent_goal_workflow.py
+++ b/workflows/agent_goal_workflow.py
@@ -259,9 +259,10 @@ class AgentGoalWorkflow:
             for listed_goal in goal_list:
                 if listed_goal.id == goal:
                     self.goal = listed_goal
-        #    self.goal = goals.get(goal)
                     workflow.logger.info("Changed goal to " + goal)
-        #todo reset goal or tools if this doesn't work or whatever
+            if goal is None:
+                workflow.logger.warning("Goal not set after goal reset, probably bad.") # if this happens, there's probably a problem with the goal list
+        
 
     # workflow function that defines if chat should end
     def chat_should_end(self) -> bool:

From 3debef578143251618625c45ed14b1530373b5e6 Mon Sep 17 00:00:00 2001
From: Laine <lainelminor@gmail.com>
Date: Wed, 19 Mar 2025 12:48:49 -0400
Subject: [PATCH 55/98] Add clarification re: format of start and end dates,
 and (probably?) fix non-determinism error caused by SHOW_CONFIRM

---
 tools/tool_registry.py           | 9 +++++----
 workflows/agent_goal_workflow.py | 8 ++++----
 2 files changed, 9 insertions(+), 8 deletions(-)

diff --git a/tools/tool_registry.py b/tools/tool_registry.py
index 79a4225..9886435 100644
--- a/tools/tool_registry.py
+++ b/tools/tool_registry.py
@@ -50,6 +50,7 @@ guess_location_tool = ToolDefinition(
         ),
     ],
 )
+
 # ----- Travel use cases tools -----
 search_flights_tool = ToolDefinition(
     name="SearchFlights",
@@ -198,12 +199,12 @@ future_pto_calc_tool = ToolDefinition(
         ToolArgument(
             name="start_date",
             type="string",
-            description="Start date of proposed PTO",
+            description="Start date of proposed PTO, sent in the form yyyy-mm-dd",
         ),
         ToolArgument(
             name="end_date",
             type="string",
-            description="End date of proposed PTO",
+            description="End date of proposed PTO, sent in the form yyyy-mm-dd",
         ),
         ToolArgument(
             name="email",
@@ -221,12 +222,12 @@ book_pto_tool = ToolDefinition(
         ToolArgument(
             name="start_date",
             type="string",
-            description="Start date of proposed PTO",
+            description="Start date of proposed PTO, sent in the form yyyy-mm-dd",
         ),
         ToolArgument(
             name="end_date",
             type="string",
-            description="End date of proposed PTO",
+            description="End date of proposed PTO, sent in the form yyyy-mm-dd",
         ),
         ToolArgument(
             name="email",
diff --git a/workflows/agent_goal_workflow.py b/workflows/agent_goal_workflow.py
index 4699e86..86324ff 100644
--- a/workflows/agent_goal_workflow.py
+++ b/workflows/agent_goal_workflow.py
@@ -26,11 +26,11 @@ with workflow.unsafe.imports_passed_through():
 # Constants
 MAX_TURNS_BEFORE_CONTINUE = 250
 
-SHOW_CONFIRM = True
 show_confirm_env = os.getenv("SHOW_CONFIRM")
-if show_confirm_env is not None:
-    if show_confirm_env == "False":
-        SHOW_CONFIRM = False
+if show_confirm_env is not None and show_confirm_env.lower() == "false":
+    SHOW_CONFIRM = False
+else:
+    SHOW_CONFIRM = True
 
 #ToolData as part of the workflow is what's accessible to the UI - see LLMResponse.jsx for example
 class ToolData(TypedDict, total=False):

From d8a8fe44f9f28e9cc2ac4a7a4c28c033d80f62e0 Mon Sep 17 00:00:00 2001
From: Laine <lainelminor@gmail.com>
Date: Wed, 19 Mar 2025 15:28:20 -0400
Subject: [PATCH 56/98] Add additional hints

---
 tools/data/employee_pto_data.json |  2 +-
 tools/give_hint.py                | 13 ++++++-------
 2 files changed, 7 insertions(+), 8 deletions(-)

diff --git a/tools/data/employee_pto_data.json b/tools/data/employee_pto_data.json
index 38a6329..c5c38d6 100644
--- a/tools/data/employee_pto_data.json
+++ b/tools/data/employee_pto_data.json
@@ -8,7 +8,7 @@
         "hrsAddedPerMonth": 8
       },
       {
-        "email": "lainecaseysmith@gmail.com",
+        "email": "laine@awesome.com",
         "currentPTOHrs": 40,
         "hrsAddedPerMonth": 12
       }
diff --git a/tools/give_hint.py b/tools/give_hint.py
index a8072ad..a2fad2f 100644
--- a/tools/give_hint.py
+++ b/tools/give_hint.py
@@ -8,17 +8,17 @@ TREASURE_LOCATION = {
 }
 
 HINTS = [
-    "state of Washington",
-    "city of Seattle",
+    "country of " + TREASURE_LOCATION["country"],
+    "state of " + TREASURE_LOCATION["state_full"],
+    "city of " + TREASURE_LOCATION["city"],
     "at a company HQ",
+    "The company's tech traces its roots to a project called Cadence", #thanks, Grok
+    "The company offers a tool that lets developers write code as if it's running forever, no matter what crashes", #thanks, Grok
 ]
-''' Grok provided hints:
-Here are additional company-specific clues about Temporal that could help players in your game guess the address (300 Lenora St, Seattle, WA) by focusing on the company itself. These are designed to be intriguing and game-friendly:
-
+''' Additional Grok provided hints about Temporal:
 "This company was founded by two engineers who previously worked on a system named after a South American river at Uber."
 "Their platform is all about orchestrating workflows that can survive failures—like a conductor keeping the music going."
 "They offer a tool that lets developers write code as if it’s running forever, no matter what crashes."
-"The company’s tech traces its roots to a project called Cadence, which they took to the next level."
 "Their mission is tied to making distributed systems feel as simple as writing a single app."
 "They’ve got a knack for ‘durability’—both in their software and their growing reputation."
 "This outfit spun out of experiences at AWS and Uber, blending cloud and ride-sharing know-how."
@@ -34,7 +34,6 @@ def give_hint(args: dict) -> dict:
     index = hint_total % len(HINTS)
     hint_text = HINTS[index]
 
-    print(f"hint_total: {hint_total}, length: {len(HINTS)}, index: {index}")
     hint_total = hint_total + 1
     return {
         "hint_number": hint_total,

From 8f802819bffa11d3f397defebf1f9bd1f1a9bcb5 Mon Sep 17 00:00:00 2001
From: Laine Smith <39713102+lainie-ftw@users.noreply.github.com>
Date: Thu, 20 Mar 2025 12:51:40 -0400
Subject: [PATCH 57/98] Add slides

---
 assets/temporal-agentic-ai-slides.pdf | Bin 0 -> 2083941 bytes
 1 file changed, 0 insertions(+), 0 deletions(-)
 create mode 100644 assets/temporal-agentic-ai-slides.pdf

diff --git a/assets/temporal-agentic-ai-slides.pdf b/assets/temporal-agentic-ai-slides.pdf
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From c3084eec41e61d5aac0d90a496d57f6fb81705ba Mon Sep 17 00:00:00 2001
From: Joshua Smith <joshmsmith@gmail.com>
Date: Thu, 20 Mar 2025 13:37:51 -0400
Subject: [PATCH 58/98] adding fin goals and tools

---
 .env.example                          |  2 +-
 adding-goals-and-tools.md             |  6 +--
 todo.md                               | 17 +++++---
 tools/__init__.py                     |  7 ++++
 tools/data/customer_account_data.json | 58 +++++++++++++++++++++++++++
 tools/fin/check_account_valid.py      | 24 +++++++++++
 tools/fin/get_account_balances.py     | 24 +++++++++++
 tools/goal_registry.py                | 41 ++++++++++++++++++-
 tools/tool_registry.py                | 32 +++++++++++++++
 9 files changed, 200 insertions(+), 11 deletions(-)
 create mode 100644 tools/data/customer_account_data.json
 create mode 100644 tools/fin/check_account_valid.py
 create mode 100644 tools/fin/get_account_balances.py

diff --git a/.env.example b/.env.example
index ad5cffd..2ef8321 100644
--- a/.env.example
+++ b/.env.example
@@ -39,7 +39,7 @@ OPENAI_API_KEY=sk-proj-...
 AGENT_GOAL=goal_choose_agent_type  # (default) 
 
 #Choose which category(ies) of goals you want to be listed by the Agent - options are system (always included), hr, travel, or all. 
-GOAL_CATEGORIES=hr,travel # default is all
+GOAL_CATEGORIES=hr,travel,fin # default is all
 
 # Set if the UI should force a user confirmation step or not
 SHOW_CONFIRM=True
\ No newline at end of file
diff --git a/adding-goals-and-tools.md b/adding-goals-and-tools.md
index ec5a3f3..68b867f 100644
--- a/adding-goals-and-tools.md
+++ b/adding-goals-and-tools.md
@@ -52,7 +52,7 @@ description="Help the user gather args for these tools in order: "
 2. Define the tool
 - `name`: name of the tool - this is the name as defined in the goal description list of tools. The name should be (sort of) the same as the tool name given in the goal description. So, if the description lists "CurrentPTO" as a tool, the name here should be `current_pto_tool`.
 - `description`: LLM-facing description of tool
-- `arguments`: These are the _input_ arguments to the tool. Each input argument should be defined as a [/models/tool_definitions.py](ToolArgument). Tools don't have to have arguments but the arguments list has to be declared. If the tool you're creating doesn't have inputs, define arguments as `arguments=[]`
+- `arguments`: These are the _input_ arguments to the tool. Each input argument should be defined as a [ToolArgument](./models/tool_definitions.py). Tools don't have to have arguments but the arguments list has to be declared. If the tool you're creating doesn't have inputs, define arguments as `arguments=[]`
 
 #### Create Each Tool
 - The tools themselves are defined in their own files in `/tools` - you can add a subfolder to organize them, see the hr tools for an example.
@@ -61,8 +61,8 @@ description="Help the user gather args for these tools in order: "
 - The return dict should match the output format you specified in the goal's `example_conversation_history`
 - tools are where the user input+model output becomes deterministic. Add validation here to make sure what the system is doing is valid and acceptable
 
-#### Add to `tools/__init__.py`
-- In `tools/__init__.py`, add an import statement for each new tool as well as an applicable return statement in `get_handler`. The tool name here should match the tool name as described in the goal's `description` field.
+#### Add to `tools/__init__.py` and the tool get_handler()
+- In [tools/__init__.py](./tools/__init__.py), add an import statement for each new tool as well as an applicable return statement in `get_handler`. The tool name here should match the tool name as described in the goal's `description` field.
 Example:
 ```
 if tool_name == "CurrentPTO":
diff --git a/todo.md b/todo.md
index a30eeed..44653c0 100644
--- a/todo.md
+++ b/todo.md
@@ -11,13 +11,20 @@
 [x] create people management scenarios <br />
 
 [ ] 2. Others HR goals:  <br />
--- book work travel <br />
--- check insurance coverages <br />
--- expense management <br />
--- check in on the health of the team <br />
+- book work travel <br />
+- check insurance coverages <br />
+- expense management <br />
+- check in on the health of the team <br />
+
+[ ] fintech goals <br />
+- Fraud Detection and Prevention - The AI monitors transactions across accounts, flagging suspicious activities (e.g., unusual spending patterns or login attempts) and autonomously freezing accounts or notifying customers and compliance teams.<br />
+- Personalized Financial Advice - An AI agent analyzes a customer’s financial data (e.g., income, spending habits, savings, investments) and provides tailored advice, such as budgeting tips, investment options, or debt repayment strategies.<br />
+- Portfolio Management and Rebalancing - The AI monitors a customer’s investment portfolio, rebalancing it automatically based on market trends, risk tolerance, and financial goals (e.g., shifting assets between stocks, bonds, or crypto).<br />
+- money movement - start money transfer <br />
+- [x] account balance - <br />
 
 
-[ ] ask the ai agent how it did at the end of the conversation, was it efficient? successful? insert a search attribute to document that before return
+[ ] ask the ai agent how it did at the end of the conversation, was it efficient? successful? insert a search attribute to document that before return <br />
 - Insight into the agent’s performance <br />
 
 [ ] non-retry the api key error - "Invalid API Key provided: sk_test_**J..." and "AuthenticationError" <br />
diff --git a/tools/__init__.py b/tools/__init__.py
index 41f85c4..0dd10c0 100644
--- a/tools/__init__.py
+++ b/tools/__init__.py
@@ -13,6 +13,9 @@ from .hr.book_pto import book_pto
 from .hr.future_pto_calc import future_pto_calc
 from .hr.checkpaybankstatus import checkpaybankstatus
 
+from .fin.check_account_valid import check_account_valid
+from .fin.get_account_balances import get_account_balance
+
 from .give_hint import give_hint
 from .guess_location import guess_location
 
@@ -44,6 +47,10 @@ def get_handler(tool_name: str):
         return future_pto_calc
     if tool_name == "CheckPayBankStatus":
         return checkpaybankstatus
+    if tool_name == "FinCheckAccountIsValid":
+        return check_account_valid
+    if tool_name == "FinCheckAccountBalance":
+        return get_account_balance    
     if tool_name == "GiveHint":
         return give_hint
     if tool_name == "GuessLocation":
diff --git a/tools/data/customer_account_data.json b/tools/data/customer_account_data.json
new file mode 100644
index 0000000..630c698
--- /dev/null
+++ b/tools/data/customer_account_data.json
@@ -0,0 +1,58 @@
+{ 
+    "accounts": [
+        {
+            "name": "Matt Murdock",
+            "email": "matt.murdock@nelsonmurdock.com",
+            "account_id": "11235",
+            "checking_balance": 875.40,
+            "savings_balance": 3200.15,
+            "bitcoin_balance": 0.1378,
+            "account_creation_date": "2014-03-10"
+        },
+        {
+            "name": "Foggy Nelson",
+            "email": "foggy.nelson@nelsonmurdock.com",
+            "account_id": "112358",
+            "checking_balance": 1523.67,
+            "savings_balance": 4875.90,
+            "bitcoin_balance": 0.0923,
+            "account_creation_date": "2014-03-10"
+        },
+        {
+            "name": "Karen Page",
+            "email": "karen.page@nelsonmurdock.com",
+            "account_id": "112",
+            "checking_balance": 645.25,
+            "savings_balance": 1830.50,
+            "bitcoin_balance": 0.0456,
+            "account_creation_date": "2015-01-15"
+        },
+        {
+            "name": "Wilson Fisk",
+            "email": "wilson.fisk@fiskcorp.com",
+            "account_id": "11",
+            "checking_balance": 25000.00,
+            "savings_balance": 150000.75,
+            "bitcoin_balance": 5987.6721,
+            "account_creation_date": "2013-09-20"
+        },
+        {
+            "name": "Frank Castle",
+            "email": "frank.castle@vigilante.net",
+            "account_id": "1",
+            "checking_balance": 320.10,
+            "savings_balance": 0.30,
+            "bitcoin_balance": 15.2189,
+            "account_creation_date": "2016-02-05"
+        },
+        {
+            "name": "Joshua Smith",
+            "email": "joshmsmith@gmail.com",
+            "account_id": "11235813",
+            "checking_balance": 3021.90,
+            "savings_balance": 500.50,
+            "bitcoin_balance": 0.001,
+            "account_creation_date": "2020-03-19"
+        }
+    ]
+}
\ No newline at end of file
diff --git a/tools/fin/check_account_valid.py b/tools/fin/check_account_valid.py
new file mode 100644
index 0000000..d339118
--- /dev/null
+++ b/tools/fin/check_account_valid.py
@@ -0,0 +1,24 @@
+from pathlib import Path
+import json
+
+# this is made to demonstrate functionality but it could just as durably be an API call
+# called as part of a temporal activity with automatic retries
+def check_account_valid(args: dict) -> dict:
+    
+    email = args.get("email")
+    account_id = args.get("account_id")
+
+    file_path = Path(__file__).resolve().parent.parent / "data" / "customer_account_data.json"
+    if not file_path.exists():
+        return {"error": "Data file not found."}
+    
+    with open(file_path, "r") as file:
+        data = json.load(file)
+    account_list = data["accounts"]
+
+    for account in account_list:
+        if account["email"] == email or account["account_id"] == account_id:
+            return{"status": "account valid"}
+        
+    return_msg = "Account not found with email address " + email + " or account ID: " + account_id
+    return {"error": return_msg}
\ No newline at end of file
diff --git a/tools/fin/get_account_balances.py b/tools/fin/get_account_balances.py
new file mode 100644
index 0000000..ca44fb6
--- /dev/null
+++ b/tools/fin/get_account_balances.py
@@ -0,0 +1,24 @@
+from pathlib import Path
+import json
+
+# this is made to demonstrate functionality but it could just as durably be an API call
+# this assumes it's a valid account - use check_account_valid() to verify that first
+def get_account_balance(args: dict) -> dict:
+    
+    account_key = args.get("accountkey")
+
+    file_path = Path(__file__).resolve().parent.parent / "data" / "customer_account_data.json"
+    if not file_path.exists():
+        return {"error": "Data file not found."}
+    
+    with open(file_path, "r") as file:
+        data = json.load(file)
+    account_list = data["accounts"]
+
+    for account in account_list:
+        if account["email"] == account_key or account["account_id"] == account_key:
+            #return{"status": "account valid"}
+            return{ "name": account["name"], "email": account["email"], "account_id": account["account_id"], "checking_balance": account["checking_balance"], "savings_balance": account["savings_balance"], "bitcoin_balance": account["bitcoin_balance"], "account_creation_date": account["account_creation_date"] }
+        
+    return_msg = "Account not found with email address " + email + " or account ID: " + account_id
+    return {"error": return_msg}
\ No newline at end of file
diff --git a/tools/goal_registry.py b/tools/goal_registry.py
index ba60843..343bb32 100644
--- a/tools/goal_registry.py
+++ b/tools/goal_registry.py
@@ -248,12 +248,12 @@ goal_hr_check_pto = AgentGoal(
     ),
 )
 
-# This goal uses the data/employee_pto_data.json file as dummy data.
+# check integration with bank
 goal_hr_check_paycheck_bank_integration_status = AgentGoal(
     id = "goal_hr_check_paycheck_bank_integration_status",
     category_tag="hr",
     agent_name="Check paycheck bank integration status",
-    agent_friendly_description="Check your available PTO.",   
+    agent_friendly_description="Check your integration between paycheck payer and your financial institution.",   
     tools=[
         tool_registry.paycheck_bank_integration_status_check,
         tool_registry.list_agents_tool, #last tool must be list_agents to fasciliate changing back to picking an agent again at the end
@@ -274,6 +274,41 @@ goal_hr_check_paycheck_bank_integration_status = AgentGoal(
     ),
 )
 
+# this tool checks account balances, and uses ./data/customer_account_data.json as dummy data
+goal_fin_check_account_balances = AgentGoal(
+    id = "goal_fin_check_account_balances",
+    category_tag="fin",
+    agent_name="Check balances",
+    agent_friendly_description="Check your account balances in Checking, Savings, etc.",   
+    tools=[
+        tool_registry.financial_check_account_is_valid,
+        tool_registry.financial_get_account_balances,
+        tool_registry.list_agents_tool, #last tool must be list_agents to fasciliate changing back to picking an agent again at the end
+    ],
+    description="The user wants to check their account balances at the bank or financial institution. To assist with that goal, help the user gather args for these tools in order: "
+    "1. FinCheckAccountIsValid: validate the user's account is valid"
+    "2. FinCheckAccountBalance: Tell the user their account balance at the bank or financial institution",
+    starter_prompt=starter_prompt_generic,
+    example_conversation_history="\n ".join(
+        [
+            "user: I'd like to check my account balances",
+            "agent: Sure! I can help you out with that. May I have your email address or account number?",
+            "user: email is bob.johnson@emailzzz.com ",
+            "user_confirmed_tool_run: <user clicks confirm on FincheckAccountIsValid tool>",
+            "tool_result: { 'status': account valid }",
+            "agent: Great! I can tell you what the your account balances are.",
+            "user_confirmed_tool_run: <user clicks confirm on FinCheckAccountBalance tool>",
+            "tool_result: { 'name': Matt Murdock, 'email': matt.murdock@nelsonmurdock.com, 'account_id': 11235, 'checking_balance': 875.40, 'savings_balance': 3200.15, 'bitcoin_balance': 0.1378, 'account_creation_date': 2014-03-10 }",
+            "agent: Your account balances are as follows: \n "
+                "Checking: $875.40. \n "
+                "Savings: $3200.15. \n "
+                "Bitcoint: 0.1378 \n "
+                "Thanks for being a customer since 2014!",
+        ]
+    ),
+)
+
+#todo add money movement, fraud check (update with start)
 #Add the goals to a list for more generic processing, like listing available agents
 goal_list: List[AgentGoal] = []
 goal_list.append(goal_choose_agent_type)
@@ -283,4 +318,6 @@ goal_list.append(goal_match_train_invoice)
 goal_list.append(goal_hr_schedule_pto)
 goal_list.append(goal_hr_check_pto)
 goal_list.append(goal_hr_check_paycheck_bank_integration_status)
+goal_list.append(goal_fin_check_account_balances)
+
 
diff --git a/tools/tool_registry.py b/tools/tool_registry.py
index 79a4225..9a96d72 100644
--- a/tools/tool_registry.py
+++ b/tools/tool_registry.py
@@ -252,4 +252,36 @@ paycheck_bank_integration_status_check = ToolDefinition(
             description="email address of user",
         ),
     ],
+)
+
+financial_check_account_is_valid = ToolDefinition(
+    name="FinCheckAccountIsValid",
+    description="Check if an account is valid by email address or account ID. "
+    "Returns the account status, valid or invalid. ",
+    arguments=[
+        ToolArgument(
+            name="email",
+            type="string",
+            description="email address of user",
+        ),
+        ToolArgument(
+            name="account_id",
+            type="string",
+            description="account ID of user",
+        ),
+    ],
+)
+
+financial_get_account_balances = ToolDefinition(
+    name="FinCheckAccountBalance",
+    description="Get account balance for your accounts. "
+    "Returns the account balances of your accounts. ",
+    
+    arguments=[
+        ToolArgument(
+            name="accountkey",
+            type="string",
+            description="email address or account ID of user",
+        ),
+    ],
 )
\ No newline at end of file

From a3ec7b045a8e2677106fe50c83a793b5fcbf1889 Mon Sep 17 00:00:00 2001
From: Joshua Smith <joshmsmith@gmail.com>
Date: Wed, 26 Mar 2025 13:21:13 -0400
Subject: [PATCH 59/98] adding move money scenario - still a bit rough but it
 works

---
 activities/tool_activities.py     |  10 ++-
 todo.md                           |  27 +++----
 tools/__init__.py                 |   3 +
 tools/fin/get_account_balances.py |   3 +-
 tools/fin/move_money.py           | 122 ++++++++++++++++++++++++++++++
 tools/goal_registry.py            |  42 ++++++++++
 tools/tool_registry.py            |  30 ++++++++
 7 files changed, 216 insertions(+), 21 deletions(-)
 create mode 100644 tools/fin/move_money.py

diff --git a/activities/tool_activities.py b/activities/tool_activities.py
index 39cc228..1250a42 100644
--- a/activities/tool_activities.py
+++ b/activities/tool_activities.py
@@ -1,3 +1,4 @@
+import inspect
 from temporalio import activity
 from ollama import chat, ChatResponse
 from openai import OpenAI
@@ -483,16 +484,21 @@ def get_current_date_human_readable():
 
 
 @activity.defn(dynamic=True)
-def dynamic_tool_activity(args: Sequence[RawValue]) -> dict:
+async def dynamic_tool_activity(args: Sequence[RawValue]) -> dict:
     from tools import get_handler
 
+    #  if current_tool == "move_money":
+    #     workflow.logger.warning(f"trying for move_money direct")
     tool_name = activity.info().activity_type  # e.g. "FindEvents"
     tool_args = activity.payload_converter().from_payload(args[0].payload, dict)
     activity.logger.info(f"Running dynamic tool '{tool_name}' with args: {tool_args}")
 
     # Delegate to the relevant function
     handler = get_handler(tool_name)
-    result = handler(tool_args)
+    if inspect.iscoroutinefunction(handler):
+        result = await handler(tool_args)
+    else:
+        result = handler(tool_args)
 
     # Optionally log or augment the result
     activity.logger.info(f"Tool '{tool_name}' result: {result}")
diff --git a/todo.md b/todo.md
index 44653c0..6319155 100644
--- a/todo.md
+++ b/todo.md
@@ -1,34 +1,27 @@
 # todo list
-[x] add confirmation env setting to setup guide <br />
- <br />
 [ ] try claude-3-7-sonnet-20250219, see [tool_activities.py](./activities/tool_activities.py) <br />
-[ ] make agent respond to name of goals and not just numbers <br />
-[x] L look at slides <br />
+[x] make agent respond to name of goals and not just numbers <br />
 [ ] josh to do fintech scenarios <br />
 [ ] expand [tests](./tests/agent_goal_workflow_test.py)<br />
-[x] fix logging statements not to be all warn, maybe set logging level to info <br />
-
-[x] create people management scenarios <br />
-
-[ ] 2. Others HR goals:  <br />
-- book work travel <br />
-- check insurance coverages <br />
-- expense management <br />
-- check in on the health of the team <br />
 
 [ ] fintech goals <br />
 - Fraud Detection and Prevention - The AI monitors transactions across accounts, flagging suspicious activities (e.g., unusual spending patterns or login attempts) and autonomously freezing accounts or notifying customers and compliance teams.<br />
 - Personalized Financial Advice - An AI agent analyzes a customer’s financial data (e.g., income, spending habits, savings, investments) and provides tailored advice, such as budgeting tips, investment options, or debt repayment strategies.<br />
 - Portfolio Management and Rebalancing - The AI monitors a customer’s investment portfolio, rebalancing it automatically based on market trends, risk tolerance, and financial goals (e.g., shifting assets between stocks, bonds, or crypto).<br />
-- money movement - start money transfer <br />
-- [x] account balance - <br />
+[x] money movement - start money transfer <br />
+[ ] todo use env vars to do connect to local or non-local
+[x] account balance - <br />
+[ ] new loan/fraud check/update with start <br />
 
 
 [ ] ask the ai agent how it did at the end of the conversation, was it efficient? successful? insert a search attribute to document that before return <br />
 - Insight into the agent’s performance <br />
 
 [ ] non-retry the api key error - "Invalid API Key provided: sk_test_**J..." and "AuthenticationError" <br />
-[ ] make it so you can yeet yourself out of a goal and pick a new one <br />
 
 [ ] add visual feedback when workflow starting <br />
-[ ] figure out how to allow user to list agents at any time - like end conversation <br />
\ No newline at end of file
+[ ] figure out how to allow user to list agents at any time - like end conversation <br />
+
+[ ] change initial goal selection prompt to list capabilities and prompt more nicely - not a bulleted list - see how that works
+
+[ ] todo use env vars to do connect to local or non-local cloud for activities for money scenarios
\ No newline at end of file
diff --git a/tools/__init__.py b/tools/__init__.py
index 0dd10c0..61d3545 100644
--- a/tools/__init__.py
+++ b/tools/__init__.py
@@ -15,6 +15,7 @@ from .hr.checkpaybankstatus import checkpaybankstatus
 
 from .fin.check_account_valid import check_account_valid
 from .fin.get_account_balances import get_account_balance
+from .fin.move_money import move_money
 
 from .give_hint import give_hint
 from .guess_location import guess_location
@@ -51,6 +52,8 @@ def get_handler(tool_name: str):
         return check_account_valid
     if tool_name == "FinCheckAccountBalance":
         return get_account_balance    
+    if tool_name == "FinMoveMoneyOrder":
+        return move_money    
     if tool_name == "GiveHint":
         return give_hint
     if tool_name == "GuessLocation":
diff --git a/tools/fin/get_account_balances.py b/tools/fin/get_account_balances.py
index ca44fb6..be0854c 100644
--- a/tools/fin/get_account_balances.py
+++ b/tools/fin/get_account_balances.py
@@ -17,8 +17,7 @@ def get_account_balance(args: dict) -> dict:
 
     for account in account_list:
         if account["email"] == account_key or account["account_id"] == account_key:
-            #return{"status": "account valid"}
             return{ "name": account["name"], "email": account["email"], "account_id": account["account_id"], "checking_balance": account["checking_balance"], "savings_balance": account["savings_balance"], "bitcoin_balance": account["bitcoin_balance"], "account_creation_date": account["account_creation_date"] }
         
-    return_msg = "Account not found with email address " + email + " or account ID: " + account_id
+    return_msg = "Account not found with for " + account_key
     return {"error": return_msg}
\ No newline at end of file
diff --git a/tools/fin/move_money.py b/tools/fin/move_money.py
new file mode 100644
index 0000000..d33119e
--- /dev/null
+++ b/tools/fin/move_money.py
@@ -0,0 +1,122 @@
+from pathlib import Path
+import json
+from temporalio.client import Client
+from dataclasses import dataclass
+from typing import Optional
+import asyncio
+from temporalio.exceptions import WorkflowAlreadyStartedError
+
+from enum import Enum, auto
+
+#enums for the java enum
+# class ExecutionScenarios(Enum):
+#     HAPPY_PATH = 0
+#     ADVANCED_VISIBILITY = auto() # 1
+#     HUMAN_IN_LOOP = auto()       # 2
+#     API_DOWNTIME = auto()        # 3
+#     BUG_IN_WORKFLOW = auto()     # 4
+#     INVALID_ACCOUNT = auto()     # 5
+
+# these dataclasses are for calling the Temporal Workflow
+# Python equivalent of the workflow we're calling's Java WorkflowParameterObj
+@dataclass
+class MoneyMovementWorkflowParameterObj:
+    amount: int  # Using snake_case as per Python conventions
+    scenario: str
+
+# this is made to demonstrate functionality but it could just as durably be an API call
+# this assumes it's a valid account - use check_account_valid() to verify that first
+async def move_money(args: dict) -> dict:
+    
+    print("in move_money")
+    account_key = args.get("accountkey")
+    account_type: str = args.get("accounttype")
+    amount = args.get("amount")
+    destinationaccount = args.get("destinationaccount")
+
+    file_path = Path(__file__).resolve().parent.parent / "data" / "customer_account_data.json"
+    if not file_path.exists():
+        return {"error": "Data file not found."}
+    
+    # todo validate there's enough money in the account
+    with open(file_path, "r") as file:
+        data = json.load(file)
+    account_list = data["accounts"]
+
+    for account in account_list:
+        if account["email"] == account_key or account["account_id"] == account_key:
+            amount_str: str = str(amount) 
+
+            transfer_workflow_id = await start_workflow(amount_cents=str_dollars_to_cents(amount_str),from_account_name=account_key, to_account_name=destinationaccount)
+            
+            account_type_key = 'checking_balance'
+            if(account_type.casefold() == "checking" ):
+                account_type = "checking"
+                account_type_key = 'checking_balance'
+                
+            elif(account_type.casefold() == "savings" ):
+                account_type = "savings"
+                account_type_key = 'savings_balance'
+            else: 
+                raise NotImplementedError("money order for account types other than checking or savings is not implemented.")
+            
+            new_balance: float = float(str_dollars_to_cents(str(account[account_type_key]))) 
+            new_balance = new_balance - float(str_dollars_to_cents(amount_str))
+            account[account_type_key] = str(new_balance / 100 ) #to dollars
+            with open(file_path, 'w') as file:
+                json.dump(data, file, indent=4)            
+
+            return {'status': "money movement complete", 'confirmation id': transfer_workflow_id, 'new_balance': account["checking_balance"]}                                
+        
+    return_msg = "Account not found with for " + account_key
+    return {"error": return_msg}
+
+# Async function to start workflow
+async def start_workflow(amount_cents: int, from_account_name: str, to_account_name: str)-> str:
+ 
+ 
+    # Connect to Temporal 
+    # todo use env vars to do connect to local or non-local
+    client:Client = await Client.connect("localhost:7233")
+    
+    # Create the parameter object
+    params = MoneyMovementWorkflowParameterObj(
+        amount=amount_cents*100,  
+        scenario="HAPPY_PATH"
+    )
+
+    workflow_id="TRANSFER-ACCT-" + from_account_name +  "-TO-" + to_account_name  # business-relevant workflow ID
+
+    try: 
+        handle = await client.start_workflow(
+            "moneyTransferWorkflow",  # Workflow name
+            params,          # Workflow parameters
+            id=workflow_id,
+            task_queue="MoneyTransferJava"  # Task queue name
+        )
+        return handle.id
+    except WorkflowAlreadyStartedError as e:
+        existing_handle = client.get_workflow_handle(workflow_id=workflow_id)
+        return existing_handle.id
+
+    
+    
+    
+#cleans a string dollar amount description to cents value
+def str_dollars_to_cents(dollar_str: str) -> int:
+    try:
+        # Remove '$' and any whitespace
+        cleaned_str = dollar_str.replace('$', '').strip()
+        
+        # Handle empty string or invalid input
+        if not cleaned_str:
+            raise ValueError("Empty amount provided")
+            
+        # Convert to float and then to cents
+        amount = float(cleaned_str)
+        if amount < 0:
+            raise ValueError("Negative amounts not allowed")
+            
+        return int(amount * 100)
+    except ValueError as e:
+        raise ValueError(f"Invalid dollar amount format: {dollar_str}") from e
\ No newline at end of file
diff --git a/tools/goal_registry.py b/tools/goal_registry.py
index 343bb32..d422749 100644
--- a/tools/goal_registry.py
+++ b/tools/goal_registry.py
@@ -308,6 +308,46 @@ goal_fin_check_account_balances = AgentGoal(
     ),
 )
 
+# this tool checks account balances, and uses ./data/customer_account_data.json as dummy data
+goal_fin_move_money = AgentGoal(
+    id = "goal_fin_move_money",
+    category_tag="fin",
+    agent_name="Money Order",
+    agent_friendly_description="Initiate a money movement order.",   
+    tools=[
+        tool_registry.financial_check_account_is_valid,
+        tool_registry.financial_get_account_balances,
+        tool_registry.financial_move_money,
+        tool_registry.list_agents_tool, #last tool must be list_agents to fasciliate changing back to picking an agent again at the end
+    ],
+    description="The user wants to transfer money in their account at the bank or financial institution. To assist with that goal, help the user gather args for these tools in order: "
+    "1. FinCheckAccountIsValid: validate the user's account is valid"
+    "2. FinCheckAccountBalance: Tell the user their account balance at the bank or financial institution"
+    "3. FinMoveMoney: Initiate a money movement order",
+    starter_prompt=starter_prompt_generic,
+    example_conversation_history="\n ".join(
+        [
+            "user: I'd like transfer some money",
+            "agent: Sure! I can help you out with that. May I have account number and email address?",
+            "user: account number is 11235813",
+            "user_confirmed_tool_run: <user clicks confirm on FincheckAccountIsValid tool>",
+            "tool_result: { 'status': account valid }",
+            "agent: Great! Here are your account balances:",
+            "user_confirmed_tool_run: <user clicks confirm on FinCheckAccountBalance tool>", #todo is this needed?
+            "tool_result: { 'name': Matt Murdock, 'email': matt.murdock@nelsonmurdock.com, 'account_id': 11235, 'checking_balance': 875.40, 'savings_balance': 3200.15, 'bitcoin_balance': 0.1378, 'account_creation_date': 2014-03-10 }",
+            "agent: Your account balances are as follows: \n "
+                "Checking: $875.40. \n "
+                "Savings: $3200.15. \n "
+                "Bitcoint: 0.1378 \n "
+            "agent: how much would you like to move, from which account type, and to which account number?",
+            "user: I'd like to move $500 from savings to account number #56789",
+            "user_confirmed_tool_run: <user clicks confirm on FinMoveMoney tool>",
+            "tool_result: { 'status': money movement complete, 'confirmation id': 333421, 'new_balance': $2700.15 }",
+            "agent: Money movement order completed! New account balance: $2700.15. Your confirmation id is 333421. "
+        ]
+    ),
+)
+
 #todo add money movement, fraud check (update with start)
 #Add the goals to a list for more generic processing, like listing available agents
 goal_list: List[AgentGoal] = []
@@ -319,5 +359,7 @@ goal_list.append(goal_hr_schedule_pto)
 goal_list.append(goal_hr_check_pto)
 goal_list.append(goal_hr_check_paycheck_bank_integration_status)
 goal_list.append(goal_fin_check_account_balances)
+goal_list.append(goal_fin_move_money)
+
 
 
diff --git a/tools/tool_registry.py b/tools/tool_registry.py
index 3930cc6..ffbafb4 100644
--- a/tools/tool_registry.py
+++ b/tools/tool_registry.py
@@ -285,4 +285,34 @@ financial_get_account_balances = ToolDefinition(
             description="email address or account ID of user",
         ),
     ],
+)
+
+financial_move_money = ToolDefinition(
+    name="FinMoveMoneyOrder",
+    description="Execute a money movement order. "
+    "Returns the status of the order and the account balance of the account money was moved from. ",
+    
+    arguments=[
+        ToolArgument(
+            name="accountkey",
+            type="string",
+            description="email address or account ID of user",
+        ),
+         ToolArgument(
+            name="accounttype",
+            type="string",
+            description="account type, such as checking or savings",
+        ),        
+         ToolArgument(
+            name="amount",
+            type="string",
+            description="amount to move in the order",
+        ),
+                
+         ToolArgument(
+            name="destinationaccount",
+            type="string",
+            description="account number to move the money to",
+        ),
+    ],
 )
\ No newline at end of file

From 64f8a34d19fd5de5d5f0b6efe97b48dcbb7ea171 Mon Sep 17 00:00:00 2001
From: Joshua Smith <joshmsmith@gmail.com>
Date: Thu, 27 Mar 2025 09:24:44 -0400
Subject: [PATCH 60/98] improved money movement scenario

---
 .env.example            |  7 ++++-
 todo.md                 |  6 ++--
 tools/fin/move_money.py | 61 ++++++++++++++++++++++++-----------------
 3 files changed, 45 insertions(+), 29 deletions(-)

diff --git a/.env.example b/.env.example
index 2ef8321..9b9ebb7 100644
--- a/.env.example
+++ b/.env.example
@@ -42,4 +42,9 @@ AGENT_GOAL=goal_choose_agent_type  # (default)
 GOAL_CATEGORIES=hr,travel,fin # default is all
 
 # Set if the UI should force a user confirmation step or not
-SHOW_CONFIRM=True
\ No newline at end of file
+SHOW_CONFIRM=True
+
+# Money Scenarios: 
+# Set if you want it to really start workflows - otherwise it'll fake it
+# if you want it to be real you'll need moneytransfer and early return workers running
+FIN_START_REAL_WORKFLOW=FALSE
\ No newline at end of file
diff --git a/todo.md b/todo.md
index 6319155..1ccca5c 100644
--- a/todo.md
+++ b/todo.md
@@ -1,7 +1,7 @@
 # todo list
 [ ] try claude-3-7-sonnet-20250219, see [tool_activities.py](./activities/tool_activities.py) <br />
 [x] make agent respond to name of goals and not just numbers <br />
-[ ] josh to do fintech scenarios <br />
+[x] josh to do fintech scenarios <br />
 [ ] expand [tests](./tests/agent_goal_workflow_test.py)<br />
 
 [ ] fintech goals <br />
@@ -9,7 +9,7 @@
 - Personalized Financial Advice - An AI agent analyzes a customer’s financial data (e.g., income, spending habits, savings, investments) and provides tailored advice, such as budgeting tips, investment options, or debt repayment strategies.<br />
 - Portfolio Management and Rebalancing - The AI monitors a customer’s investment portfolio, rebalancing it automatically based on market trends, risk tolerance, and financial goals (e.g., shifting assets between stocks, bonds, or crypto).<br />
 [x] money movement - start money transfer <br />
-[ ] todo use env vars to do connect to local or non-local
+[x] todo use env vars to do connect to local or non-local
 [x] account balance - <br />
 [ ] new loan/fraud check/update with start <br />
 
@@ -24,4 +24,4 @@
 
 [ ] change initial goal selection prompt to list capabilities and prompt more nicely - not a bulleted list - see how that works
 
-[ ] todo use env vars to do connect to local or non-local cloud for activities for money scenarios
\ No newline at end of file
+[x] todo use env vars to do connect to local or non-local cloud for activities for money scenarios
\ No newline at end of file
diff --git a/tools/fin/move_money.py b/tools/fin/move_money.py
index d33119e..d6adee6 100644
--- a/tools/fin/move_money.py
+++ b/tools/fin/move_money.py
@@ -1,3 +1,4 @@
+import os
 from pathlib import Path
 import json
 from temporalio.client import Client
@@ -5,6 +6,8 @@ from dataclasses import dataclass
 from typing import Optional
 import asyncio
 from temporalio.exceptions import WorkflowAlreadyStartedError
+from shared.config import get_temporal_client
+
 
 from enum import Enum, auto
 
@@ -45,9 +48,10 @@ async def move_money(args: dict) -> dict:
 
     for account in account_list:
         if account["email"] == account_key or account["account_id"] == account_key:
-            amount_str: str = str(amount) 
+            amount_str: str = str(amount)  # LLM+python gets sassy about types but we need it to be str
+            from_account_combo = account_key + account_type
 
-            transfer_workflow_id = await start_workflow(amount_cents=str_dollars_to_cents(amount_str),from_account_name=account_key, to_account_name=destinationaccount)
+            transfer_workflow_id = await start_workflow(amount_cents=str_dollars_to_cents(amount_str),from_account_name=from_account_combo, to_account_name=destinationaccount)
             
             account_type_key = 'checking_balance'
             if(account_type.casefold() == "checking" ):
@@ -66,7 +70,7 @@ async def move_money(args: dict) -> dict:
             with open(file_path, 'w') as file:
                 json.dump(data, file, indent=4)            
 
-            return {'status': "money movement complete", 'confirmation id': transfer_workflow_id, 'new_balance': account["checking_balance"]}                                
+            return {'status': "money movement complete", 'confirmation id': transfer_workflow_id, 'new_balance': account[account_type_key]}                                
         
     return_msg = "Account not found with for " + account_key
     return {"error": return_msg}
@@ -74,33 +78,40 @@ async def move_money(args: dict) -> dict:
 # Async function to start workflow
 async def start_workflow(amount_cents: int, from_account_name: str, to_account_name: str)-> str:
  
- 
+
     # Connect to Temporal 
-    # todo use env vars to do connect to local or non-local
-    client:Client = await Client.connect("localhost:7233")
     
-    # Create the parameter object
-    params = MoneyMovementWorkflowParameterObj(
-        amount=amount_cents*100,  
-        scenario="HAPPY_PATH"
-    )
 
-    workflow_id="TRANSFER-ACCT-" + from_account_name +  "-TO-" + to_account_name  # business-relevant workflow ID
-
-    try: 
-        handle = await client.start_workflow(
-            "moneyTransferWorkflow",  # Workflow name
-            params,          # Workflow parameters
-            id=workflow_id,
-            task_queue="MoneyTransferJava"  # Task queue name
+    client = await get_temporal_client()
+    start_real_workflow = os.getenv("FIN_START_REAL_WORKFLOW")
+    if start_real_workflow is not None and start_real_workflow.lower() == "false":
+        START_REAL_WORKFLOW = False
+    else:
+        START_REAL_WORKFLOW = True
+    
+    if START_REAL_WORKFLOW:
+        # Create the parameter object
+        params = MoneyMovementWorkflowParameterObj(
+            amount=amount_cents,  
+            scenario="HAPPY_PATH"
         )
-        return handle.id
-    except WorkflowAlreadyStartedError as e:
-        existing_handle = client.get_workflow_handle(workflow_id=workflow_id)
-        return existing_handle.id
 
-    
-    
+        workflow_id="TRANSFER-ACCT-" + from_account_name +  "-TO-" + to_account_name  # business-relevant workflow ID
+
+        try: 
+            handle = await client.start_workflow(
+                "moneyTransferWorkflow",  # Workflow name
+                params,          # Workflow parameters
+                id=workflow_id,
+                task_queue="MoneyTransferJava"  # Task queue name
+            )
+            return handle.id
+        except WorkflowAlreadyStartedError as e:
+            existing_handle = client.get_workflow_handle(workflow_id=workflow_id)
+            return existing_handle.id
+    else: 
+        return "TRANSFER-ACCT-" + from_account_name +  "-TO-" + to_account_name + "not-real"
+
     
 #cleans a string dollar amount description to cents value
 def str_dollars_to_cents(dollar_str: str) -> int:

From 50d3e3d638fddf6f9cc5e76c989388b8a5037986 Mon Sep 17 00:00:00 2001
From: Joshua Smith <joshmsmith@gmail.com>
Date: Thu, 27 Mar 2025 11:22:17 -0400
Subject: [PATCH 61/98] setup instructions for money movement/real workflow or
 fake, and some minor code cleanup

---
 setup.md                | 7 +++++++
 tools/fin/move_money.py | 3 ---
 2 files changed, 7 insertions(+), 3 deletions(-)

diff --git a/setup.md b/setup.md
index 1afa4c1..d70f2e6 100644
--- a/setup.md
+++ b/setup.md
@@ -176,6 +176,13 @@ dotnet run
 ```
 If you're running your train API above on a different host/port then change the API URL in `Program.cs`. Otherwise, be sure to run it using `python thirdparty/train_api.py`.
 
+### Money Movement Scenario
+This scenario _can_ initiate a secondary workflow to move money. Check out [this repo](https://github.com/temporal-sa/temporal-money-transfer-java) - you'll need to get the worker running and connected to the same account as the agentic worker. 
+By default it will _not_ make a real workflow, it'll just fake it. If you get the worker running and want to start a workflow, in your [.env](./.env):
+```bash
+FIN_START_REAL_WORKFLOW=FALSE #set this to true to start a real workflow
+```
+
 ## Customizing the Agent
 - `tool_registry.py` contains the mapping of tool names to tool definitions (so the AI understands how to use them)
 - `goal_registry.py` contains descriptions of goals and the tools used to achieve them
diff --git a/tools/fin/move_money.py b/tools/fin/move_money.py
index d6adee6..1f17f3e 100644
--- a/tools/fin/move_money.py
+++ b/tools/fin/move_money.py
@@ -78,10 +78,7 @@ async def move_money(args: dict) -> dict:
 # Async function to start workflow
 async def start_workflow(amount_cents: int, from_account_name: str, to_account_name: str)-> str:
  
-
     # Connect to Temporal 
-    
-
     client = await get_temporal_client()
     start_real_workflow = os.getenv("FIN_START_REAL_WORKFLOW")
     if start_real_workflow is not None and start_real_workflow.lower() == "false":

From 1de0a92fa0e45c63b88075bb65786e86ed2f004f Mon Sep 17 00:00:00 2001
From: Joshua Smith <joshmsmith@gmail.com>
Date: Fri, 28 Mar 2025 13:59:26 -0400
Subject: [PATCH 62/98] adding in Steve's changes to setup

---
 setup.md | 21 ++++++++++++++++-----
 1 file changed, 16 insertions(+), 5 deletions(-)

diff --git a/setup.md b/setup.md
index d70f2e6..fb17b9a 100644
--- a/setup.md
+++ b/setup.md
@@ -23,7 +23,8 @@ The agent can be configured to pursue different goals using the `AGENT_GOAL` env
 
 #### Goal: Find a Premier League match, book train tickets to it and invoice the user for the cost
 - `AGENT_GOAL=goal_match_train_invoice` - Focuses on Premier League match attendance with train booking and invoice generation
-    - This is a new goal that is part of an upcoming conference talk
+    - This goal was part of [Temporal's Replay 2025 conference keynote demo](https://www.youtube.com/watch?v=YDxAWrIBQNE)
+    - Note, there is failure built in to this demo (the train booking step) to show how the agent can handle failures and retry. See Tool Configuration below for details.
 
 If not specified, the agent defaults to `goal_event_flight_invoice`. Each goal comes with its own set of tools and conversation flows designed for specific use cases. You can examine `tools/goal_registry.py` to see the detailed configuration of each goal.
 
@@ -39,10 +40,11 @@ See the next section for tool configuration for each goal.
     * This api might be slow to respond, so you may want to increase the start to close timeout, `TOOL_ACTIVITY_START_TO_CLOSE_TIMEOUT` in `workflows/workflow_helpers.py`
 * Requires a Stripe key for the `create_invoice` tool. Set this in the `STRIPE_API_KEY` environment variable in .env
     * It's free to sign up and get a key at [Stripe](https://stripe.com/)
+        * Set permissions for read-write on: `Credit Notes, Invoices, Customers and Customer Sessions`
     * If you're lazy go to `tools/create_invoice.py` and replace the `create_invoice` function with the mock `create_invoice_example` that exists in the same file.
 
 #### Agent Goal: goal_match_train_invoice
-
+NOTE: This goal was developed for an on-stage demo and has failure (and its resolution) built in to show how the agent can handle failures and retry.
 * Finding a match requires a key from [Football Data](https://www.football-data.org). Sign up for a free account, then see the 'My Account' page to get your API token. Set `FOOTBALL_DATA_API_KEY` to this value.
     * If you're lazy go to `tools/search_fixtures.py` and replace the `search_fixtures` function with the mock `search_fixtures_example` that exists in the same file.
 * We use a mock function to search for trains. Start the train API server to use the real API: `python thirdparty/train_api.py`
@@ -165,9 +167,18 @@ poetry run python thirdparty/train_api.py
 # http://localhost:8080/api/search?from=london&to=liverpool&outbound_time=2025-04-18T09:00:00&inbound_time=2025-04-20T09:00:00
 ```
 
-### .NET (enterprise) Backend ;)
-> Agent Goal: goal_match_train_invoice only
-
+ ### Python Train Legacy Worker
+ > Agent Goal: goal_match_train_invoice only
+ 
+ These are Python activities that fail (raise NotImplemented) to show how Temporal handles a failure. You can run these activities with.
+ 
+ ```bash
+ poetry run python scripts/run_legacy_worker.py 
+ ```
+ 
+ The activity will fail and be retried infinitely. To rescue the activity (and its corresponding workflows), kill the worker and run the .NET one in the section below.
+ 
+ ### .NET (enterprise) Worker ;)
 We have activities written in C# to call the train APIs.
 ```bash
 cd enterprise

From 4eab280d8114050d335d8a2e6bd9d79be0e0a130 Mon Sep 17 00:00:00 2001
From: Joshua Smith <joshmsmith@gmail.com>
Date: Fri, 28 Mar 2025 14:57:56 -0400
Subject: [PATCH 63/98] fixing docs - duplicates, clarifying

---
 adding-goals-and-tools.md | 38 ------------------
 setup.md                  | 81 +++++++++++++++++++--------------------
 2 files changed, 40 insertions(+), 79 deletions(-)

diff --git a/adding-goals-and-tools.md b/adding-goals-and-tools.md
index 68b867f..740a54e 100644
--- a/adding-goals-and-tools.md
+++ b/adding-goals-and-tools.md
@@ -68,41 +68,3 @@ Example:
 if tool_name == "CurrentPTO":
     return current_pto
 ```
-
-### Existing Travel Goals
-
-The agent can be configured to pursue different goals using the `AGENT_GOAL` environment variable in your `.env` file.
-
-#### Goal: Find an event in Australia / New Zealand, book flights to it and invoice the user for the cost
-- `AGENT_GOAL=goal_event_flight_invoice` (default) - Helps users find events, book flights, and arrange train travel with invoice generation
-    - This is the scenario in the [original video](https://www.youtube.com/watch?v=GEXllEH2XiQ)
-
-#### Goal: Find a Premier League match, book train tickets to it and invoice the user for the cost
-- `AGENT_GOAL=goal_match_train_invoice` - Focuses on Premier League match attendance with train booking and invoice generation
-    - This is a new goal that is part of the [Replay 2025 talk](https://www.youtube.com/watch?v=YDxAWrIBQNE).
-
-If not specified, the agent defaults to all goals. Each goal, including these, comes with its own set of tools and conversation flows designed for specific use cases. You can examine `tools/goal_registry.py` to see the detailed configuration of each goal.
-
-See the next section for tool configuration for these goals.
-
-#### Configuring Travel Goal Tools
-
-##### Agent Goal: goal_event_flight_invoice (default)
-* The agent uses a mock function to search for events. This has zero configuration.
-* By default the agent uses a mock function to search for flights.
-    * If you want to use the real flights API, go to `tools/search_flights.py` and replace the `search_flights` function with `search_flights_real_api` that exists in the same file.
-    * It's free to sign up at [RapidAPI](https://rapidapi.com/apiheya/api/sky-scrapper)
-    * This api might be slow to respond, so you may want to increase the start to close timeout, `TOOL_ACTIVITY_START_TO_CLOSE_TIMEOUT` in `workflows/workflow_helpers.py`
-* Requires a Stripe key for the `create_invoice` tool. Set this in the `STRIPE_API_KEY` environment variable in .env
-    * It's free to sign up and get a key at [Stripe](https://stripe.com/)
-    * If you're lazy go to `tools/create_invoice.py` and replace the `create_invoice` function with the mock `create_invoice_example` that exists in the same file.
-
-##### Agent Goal: goal_match_train_invoice
-
-* Finding a match requires a key from [Football Data](https://www.football-data.org). Sign up for a free account, then see the 'My Account' page to get your API token. Set `FOOTBALL_DATA_API_KEY` to this value.
-    * If you're lazy go to `tools/search_fixtures.py` and replace the `search_fixtures` function with the mock `search_fixtures_example` that exists in the same file.
-* We use a mock function to search for trains. Start the train API server to use the real API: `python thirdparty/train_api.py`
-* * The train activity is 'enterprise' so it's written in C# and requires a .NET runtime. See the [.NET backend](#net-(enterprise)-backend) section for details on running it.
-* Requires a Stripe key for the `create_invoice` tool. Set this in the `STRIPE_API_KEY` environment variable in .env
-    * It's free to sign up and get a key at [Stripe](https://stripe.com/)
-    * If you're lazy go to `tools/create_invoice.py` and replace the `create_invoice` function with the mock `create_invoice_example` that exists in the same file.
\ No newline at end of file
diff --git a/setup.md b/setup.md
index fb17b9a..94fce2b 100644
--- a/setup.md
+++ b/setup.md
@@ -17,41 +17,7 @@ SHOW_CONFIRM=True
 
 The agent can be configured to pursue different goals using the `AGENT_GOAL` environment variable in your `.env` file.
 
-#### Goal: Find an event in Australia / New Zealand, book flights to it and invoice the user for the cost
-- `AGENT_GOAL=goal_event_flight_invoice` (default) - Helps users find events, book flights, and arrange train travel with invoice generation
-    - This is the scenario in the video above
-
-#### Goal: Find a Premier League match, book train tickets to it and invoice the user for the cost
-- `AGENT_GOAL=goal_match_train_invoice` - Focuses on Premier League match attendance with train booking and invoice generation
-    - This goal was part of [Temporal's Replay 2025 conference keynote demo](https://www.youtube.com/watch?v=YDxAWrIBQNE)
-    - Note, there is failure built in to this demo (the train booking step) to show how the agent can handle failures and retry. See Tool Configuration below for details.
-
-If not specified, the agent defaults to `goal_event_flight_invoice`. Each goal comes with its own set of tools and conversation flows designed for specific use cases. You can examine `tools/goal_registry.py` to see the detailed configuration of each goal.
-
-See the next section for tool configuration for each goal.
-
-### Tool Configuration
-
-#### Agent Goal: goal_event_flight_invoice (default)
-* The agent uses a mock function to search for events. This has zero configuration.
-* By default the agent uses a mock function to search for flights.
-    * If you want to use the real flights API, go to `tools/search_flights.py` and replace the `search_flights` function with `search_flights_real_api` that exists in the same file.
-    * It's free to sign up at [RapidAPI](https://rapidapi.com/apiheya/api/sky-scrapper)
-    * This api might be slow to respond, so you may want to increase the start to close timeout, `TOOL_ACTIVITY_START_TO_CLOSE_TIMEOUT` in `workflows/workflow_helpers.py`
-* Requires a Stripe key for the `create_invoice` tool. Set this in the `STRIPE_API_KEY` environment variable in .env
-    * It's free to sign up and get a key at [Stripe](https://stripe.com/)
-        * Set permissions for read-write on: `Credit Notes, Invoices, Customers and Customer Sessions`
-    * If you're lazy go to `tools/create_invoice.py` and replace the `create_invoice` function with the mock `create_invoice_example` that exists in the same file.
-
-#### Agent Goal: goal_match_train_invoice
-NOTE: This goal was developed for an on-stage demo and has failure (and its resolution) built in to show how the agent can handle failures and retry.
-* Finding a match requires a key from [Football Data](https://www.football-data.org). Sign up for a free account, then see the 'My Account' page to get your API token. Set `FOOTBALL_DATA_API_KEY` to this value.
-    * If you're lazy go to `tools/search_fixtures.py` and replace the `search_fixtures` function with the mock `search_fixtures_example` that exists in the same file.
-* We use a mock function to search for trains. Start the train API server to use the real API: `python thirdparty/train_api.py`
-* * The train activity is 'enterprise' so it's written in C# and requires a .NET runtime. See the [.NET backend](#net-(enterprise)-backend) section for details on running it.
-* Requires a Stripe key for the `create_invoice` tool. Set this in the `STRIPE_API_KEY` environment variable in .env
-    * It's free to sign up and get a key at [Stripe](https://stripe.com/)
-    * If you're lazy go to `tools/create_invoice.py` and replace the `create_invoice` function with the mock `create_invoice_example` that exists in the same file.
+See the section Goal-Specific Tool Configuration below for tool configuration for specific goals.
 
 ### LLM Provider Configuration
 
@@ -156,7 +122,40 @@ npx vite
 ```
 Access the UI at `http://localhost:5173`
 
-### Python Search Trains API
+
+
+## Goal-Specific Tool Configuration
+Here is configuration guidance for specific goals. `travel,fin` goals have configuration & setup as below.
+### Goal: Find an event in Australia / New Zealand, book flights to it and invoice the user for the cost
+- `AGENT_GOAL=goal_event_flight_invoice` - Helps users find events, book flights, and arrange train travel with invoice generation
+    - This is the scenario in the [original video](https://www.youtube.com/watch?v=GEXllEH2XiQ)
+
+#### Configuring Agent Goal: goal_event_flight_invoice 
+* The agent uses a mock function to search for events. This has zero configuration.
+* By default the agent uses a mock function to search for flights.
+    * If you want to use the real flights API, go to `tools/search_flights.py` and replace the `search_flights` function with `search_flights_real_api` that exists in the same file.
+    * It's free to sign up at [RapidAPI](https://rapidapi.com/apiheya/api/sky-scrapper)
+    * This api might be slow to respond, so you may want to increase the start to close timeout, `TOOL_ACTIVITY_START_TO_CLOSE_TIMEOUT` in `workflows/workflow_helpers.py`
+* Requires a Stripe key for the `create_invoice` tool. Set this in the `STRIPE_API_KEY` environment variable in .env
+    * It's free to sign up and get a key at [Stripe](https://stripe.com/)
+        * Set permissions for read-write on: `Credit Notes, Invoices, Customers and Customer Sessions`
+    * If you're lazy go to `tools/create_invoice.py` and replace the `create_invoice` function with the mock `create_invoice_example` that exists in the same file.
+
+### Goal: Find a Premier League match, book train tickets to it and invoice the user for the cost (Replay 2025 Keynote)
+- `AGENT_GOAL=goal_match_train_invoice` - Focuses on Premier League match attendance with train booking and invoice generation
+    - This goal was part of [Temporal's Replay 2025 conference keynote demo](https://www.youtube.com/watch?v=YDxAWrIBQNE)
+    - Note, there is failure built in to this demo (the train booking step) to show how the agent can handle failures and retry. See Tool Configuration below for details.
+#### Configuring Agent Goal: goal_match_train_invoice 
+NOTE: This goal was developed for an on-stage demo and has failure (and its resolution) built in to show how the agent can handle failures and retry.
+* Finding a match requires a key from [Football Data](https://www.football-data.org). Sign up for a free account, then see the 'My Account' page to get your API token. Set `FOOTBALL_DATA_API_KEY` to this value.
+    * If you're lazy go to `tools/search_fixtures.py` and replace the `search_fixtures` function with the mock `search_fixtures_example` that exists in the same file.
+* We use a mock function to search for trains. Start the train API server to use the real API: `python thirdparty/train_api.py`
+* * The train activity is 'enterprise' so it's written in C# and requires a .NET runtime. See the [.NET backend](#net-(enterprise)-backend) section for details on running it.
+* Requires a Stripe key for the `create_invoice` tool. Set this in the `STRIPE_API_KEY` environment variable in .env
+    * It's free to sign up and get a key at [Stripe](https://stripe.com/)
+    * If you're lazy go to `tools/create_invoice.py` and replace the `create_invoice` function with the mock `create_invoice_example` that exists in the same file.
+
+##### Python Search Trains API
 > Agent Goal: goal_match_train_invoice only
 
 Required to search and book trains!
@@ -167,7 +166,7 @@ poetry run python thirdparty/train_api.py
 # http://localhost:8080/api/search?from=london&to=liverpool&outbound_time=2025-04-18T09:00:00&inbound_time=2025-04-20T09:00:00
 ```
 
- ### Python Train Legacy Worker
+ ##### Python Train Legacy Worker
  > Agent Goal: goal_match_train_invoice only
  
  These are Python activities that fail (raise NotImplemented) to show how Temporal handles a failure. You can run these activities with.
@@ -178,7 +177,7 @@ poetry run python thirdparty/train_api.py
  
  The activity will fail and be retried infinitely. To rescue the activity (and its corresponding workflows), kill the worker and run the .NET one in the section below.
  
- ### .NET (enterprise) Worker ;)
+ ##### .NET (enterprise) Worker ;)
 We have activities written in C# to call the train APIs.
 ```bash
 cd enterprise
@@ -187,14 +186,14 @@ dotnet run
 ```
 If you're running your train API above on a different host/port then change the API URL in `Program.cs`. Otherwise, be sure to run it using `python thirdparty/train_api.py`.
 
-### Money Movement Scenario
-This scenario _can_ initiate a secondary workflow to move money. Check out [this repo](https://github.com/temporal-sa/temporal-money-transfer-java) - you'll need to get the worker running and connected to the same account as the agentic worker. 
+#### Goals: Money Movement
+- `AGENT_GOAL=goal_fin_move_money` - This scenario _can_ initiate a secondary workflow to move money. Check out [this repo](https://github.com/temporal-sa/temporal-money-transfer-java) - you'll need to get the worker running and connected to the same account as the agentic worker. 
 By default it will _not_ make a real workflow, it'll just fake it. If you get the worker running and want to start a workflow, in your [.env](./.env):
 ```bash
 FIN_START_REAL_WORKFLOW=FALSE #set this to true to start a real workflow
 ```
 
-## Customizing the Agent
+## Customizing the Agent Further
 - `tool_registry.py` contains the mapping of tool names to tool definitions (so the AI understands how to use them)
 - `goal_registry.py` contains descriptions of goals and the tools used to achieve them
 - The tools themselves are defined in their own files in `/tools`

From 86da6a1c74cba7e6b7d4dc4ac9df2f3b49642b77 Mon Sep 17 00:00:00 2001
From: Joshua Smith <joshmsmith@gmail.com>
Date: Fri, 28 Mar 2025 15:01:54 -0400
Subject: [PATCH 64/98] updating docs about goal changing when adding new goals

---
 adding-goals-and-tools.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/adding-goals-and-tools.md b/adding-goals-and-tools.md
index 740a54e..e24920e 100644
--- a/adding-goals-and-tools.md
+++ b/adding-goals-and-tools.md
@@ -19,7 +19,7 @@ Goal Categories lets you pick which groups of goals to show. Set via an .env set
 - `category_tag`: category for the goal
 - `agent_friendly_description`: user-facing description of what the agent/chatbot does
 - `tools`: the list of tools the goal will walk the user through. These will be defined in the [tools/tool_registry.py](tools/tool_registry.py) and should be defined in list form as tool_registry.[name of tool]
-- Important! The last tool listed must be `list_agents_tool`. This allows the chatbot to guide the user back to choosing from the list of available goals once a goal is complete.<br />
+- Important! If you want to prompt the user with options for another goal, the last tool listed must be `list_agents_tool`. This allows the chatbot to guide the user back to choosing from the list of available goals once a goal is complete. This is recommended for multi-goal behavior. The `goal_choose_agent_type` is the exception as it handles the changing of goals. <br />
 Example:
 ```
 tools=[

From 40bd76e80f3eab94f4bf9b4bf7be765c13eb3dd5 Mon Sep 17 00:00:00 2001
From: Joshua Smith <joshmsmith@gmail.com>
Date: Fri, 28 Mar 2025 15:33:56 -0400
Subject: [PATCH 65/98] changes to be specific about travel scenarios, setup
 guidance about goal_categories, fixed a bug about llm selection in
 tool_activities.py, better comments

---
 .env.example                  | 7 +++++--
 activities/tool_activities.py | 2 +-
 setup.md                      | 4 +++-
 tools/goal_registry.py        | 4 ++--
 tools/tool_registry.py        | 1 +
 5 files changed, 12 insertions(+), 6 deletions(-)

diff --git a/.env.example b/.env.example
index 9b9ebb7..45ab62c 100644
--- a/.env.example
+++ b/.env.example
@@ -36,10 +36,13 @@ OPENAI_API_KEY=sk-proj-...
 # TEMPORAL_API_KEY=abcdef1234567890
 
 # Set starting goal of agent
-AGENT_GOAL=goal_choose_agent_type  # (default) 
+AGENT_GOAL=goal_choose_agent_type  # default, for multi-goal 
+#AGENT_GOAL=goal_event_flight_invoice # for original goal
+#AGENT_GOAL=goal_match_train_invoice # for replay goal
 
 #Choose which category(ies) of goals you want to be listed by the Agent - options are system (always included), hr, travel, or all. 
-GOAL_CATEGORIES=hr,travel,fin # default is all
+GOAL_CATEGORIES=hr,travel-flights,travel-trains,fin # default is all
+#GOAL_CATEGORIES=travel-flights
 
 # Set if the UI should force a user confirmation step or not
 SHOW_CONFIRM=True
diff --git a/activities/tool_activities.py b/activities/tool_activities.py
index 1250a42..efa9733 100644
--- a/activities/tool_activities.py
+++ b/activities/tool_activities.py
@@ -50,7 +50,7 @@ class ToolActivities:
             else:
                 print("Warning: OPENAI_API_KEY not set but LLM_PROVIDER is 'openai'")
         
-        if self.llm_provider == "grok":
+        elif self.llm_provider == "grok":
             if os.environ.get("GROK_API_KEY"):
                 self.grok_client = OpenAI(api_key=os.environ.get("GROK_API_KEY"), base_url="https://api.x.ai/v1")
                 print("Initialized grok client")
diff --git a/setup.md b/setup.md
index 94fce2b..b19cc09 100644
--- a/setup.md
+++ b/setup.md
@@ -17,6 +17,8 @@ SHOW_CONFIRM=True
 
 The agent can be configured to pursue different goals using the `AGENT_GOAL` environment variable in your `.env` file.
 
+The agent can support multiple goals using goal categories using `GOAL_CATEGORIES` in your .env file. If unset, default is all.
+
 See the section Goal-Specific Tool Configuration below for tool configuration for specific goals.
 
 ### LLM Provider Configuration
@@ -125,7 +127,7 @@ Access the UI at `http://localhost:5173`
 
 
 ## Goal-Specific Tool Configuration
-Here is configuration guidance for specific goals. `travel,fin` goals have configuration & setup as below.
+Here is configuration guidance for specific goals. Travel and financial goals have configuration & setup as below.
 ### Goal: Find an event in Australia / New Zealand, book flights to it and invoice the user for the cost
 - `AGENT_GOAL=goal_event_flight_invoice` - Helps users find events, book flights, and arrange train travel with invoice generation
     - This is the scenario in the [original video](https://www.youtube.com/watch?v=GEXllEH2XiQ)
diff --git a/tools/goal_registry.py b/tools/goal_registry.py
index d422749..9607e0a 100644
--- a/tools/goal_registry.py
+++ b/tools/goal_registry.py
@@ -98,7 +98,7 @@ goal_pirate_treasure = AgentGoal(
 
 goal_match_train_invoice = AgentGoal(
     id = "goal_match_train_invoice",
-    category_tag="travel",
+    category_tag="travel-trains",
     agent_name="UK Premier League Match Trip Booking",
     agent_friendly_description="Book a trip to a city in the UK around the dates of a premier league match.",
     tools=[
@@ -146,7 +146,7 @@ goal_match_train_invoice = AgentGoal(
 
 goal_event_flight_invoice = AgentGoal(
     id = "goal_event_flight_invoice",
-    category_tag="travel",
+    category_tag="travel-flights",
     agent_name="Australia and New Zealand Event Flight Booking",
     agent_friendly_description="Book a trip to a city in Australia or New Zealand around the dates of events in that city.",    
     tools=[
diff --git a/tools/tool_registry.py b/tools/tool_registry.py
index ffbafb4..24fad84 100644
--- a/tools/tool_registry.py
+++ b/tools/tool_registry.py
@@ -255,6 +255,7 @@ paycheck_bank_integration_status_check = ToolDefinition(
     ],
 )
 
+# ----- Financial use cases tools -----
 financial_check_account_is_valid = ToolDefinition(
     name="FinCheckAccountIsValid",
     description="Check if an account is valid by email address or account ID. "

From 87b5699dc18b696e4da8ed401cf0c3071031a8d6 Mon Sep 17 00:00:00 2001
From: Joshua Smith <joshmsmith@gmail.com>
Date: Thu, 3 Apr 2025 15:54:44 -0400
Subject: [PATCH 66/98] documentation & guidance updates, getting things done,
 fixing a possible NDE if you change env vars, changes to enable user picking
 "done", minor test changes, minor goal selection prompt improvements

---
 .env.example                       |  6 +--
 README.md                          | 12 +++++
 activities/tool_activities.py      | 20 +++++--
 adding-goals-and-tools.md          | 34 +++++++++---
 models/data_types.py               |  5 ++
 prompts/agent_prompt_generators.py |  2 +
 scripts/run_worker.py              |  1 +
 setup.md                           | 11 +++-
 tests/agent_goal_workflow_test.py  | 22 ++++----
 todo.md                            | 40 ++++++++++----
 tools/data/employee_pto_data.json  | 12 ++++-
 tools/goal_registry.py             |  6 +--
 workflows/agent_goal_workflow.py   | 85 +++++++++++++++++++++---------
 13 files changed, 189 insertions(+), 67 deletions(-)

diff --git a/.env.example b/.env.example
index 45ab62c..5140da8 100644
--- a/.env.example
+++ b/.env.example
@@ -35,8 +35,8 @@ OPENAI_API_KEY=sk-proj-...
 # Uncomment if using API key (not needed for local dev server)
 # TEMPORAL_API_KEY=abcdef1234567890
 
-# Set starting goal of agent
-AGENT_GOAL=goal_choose_agent_type  # default, for multi-goal 
+# Set starting goal of agent - if unset default is all
+AGENT_GOAL=goal_choose_agent_type  # default for multi-goal  start
 #AGENT_GOAL=goal_event_flight_invoice # for original goal
 #AGENT_GOAL=goal_match_train_invoice # for replay goal
 
@@ -44,7 +44,7 @@ AGENT_GOAL=goal_choose_agent_type  # default, for multi-goal
 GOAL_CATEGORIES=hr,travel-flights,travel-trains,fin # default is all
 #GOAL_CATEGORIES=travel-flights
 
-# Set if the UI should force a user confirmation step or not
+# Set if the workflow should wait for the user to click a confirm button (and if the UI should show the confirm button and tool args)
 SHOW_CONFIRM=True
 
 # Money Scenarios: 
diff --git a/README.md b/README.md
index d721870..6a0d212 100644
--- a/README.md
+++ b/README.md
@@ -12,6 +12,18 @@ It's really helpful to [watch the demo (5 minute YouTube video)](https://www.you
 There are a lot of AI and Agentic AI tools out there, and more on the way. But why Temporal? Temporal gives this system reliablity, state management, a code-first approach that we really like, built-in observability and easy error handling.
 For more, check out [architecture-decisions](./architecture-decisions.md).
 
+## What is "Agentic AI"?
+These are the key elements of an agentic framework:
+1. Goals a human can get done, made up of tools that can execute individual steps
+2. The "agent loop" - call LLM, either call tools or prompt human, repeat until goal(s) are done
+3. Support for tool calls that require human input and approval
+4. Use of an LLM to check human input for relevance before calling the 'real' LLM
+5. use of an LLM to summarize and compact the conversation history
+6. Prompt construction (made of system prompts, conversation history, and tool metadata - sent to the LLM to create user prompts)
+7. Bonus: durable tool execution via Temporal Activities
+
+For a deeper dive into this, check out the [architecture guide](./architecture.md).
+
 ## Setup and Configuration
 See [the Setup guide](./setup.md).
 
diff --git a/activities/tool_activities.py b/activities/tool_activities.py
index efa9733..e546414 100644
--- a/activities/tool_activities.py
+++ b/activities/tool_activities.py
@@ -11,7 +11,7 @@ import google.generativeai as genai
 import anthropic
 import deepseek
 from dotenv import load_dotenv
-from models.data_types import ValidationInput, ValidationResult, ToolPromptInput
+from models.data_types import ValidationInput, ValidationResult, ToolPromptInput, EnvLookupInput
 
 load_dotenv(override=True)
 print(
@@ -471,6 +471,20 @@ class ToolActivities:
             print(f"Full response: {response_content}")
             raise
 
+    # get env vars for workflow
+    @activity.defn
+    async def get_env_bool(self, input: EnvLookupInput) -> bool:
+        """ gets boolean env vars for workflow as an activity result so it's deterministic
+            handles default/None
+        """
+        value = os.getenv(input.env_var_name)
+        if value is None:
+            return input.default
+        if value is not None and value.lower() == "false":
+            return False
+        else:
+            return True
+
 
 def get_current_date_human_readable():
     """
@@ -487,8 +501,6 @@ def get_current_date_human_readable():
 async def dynamic_tool_activity(args: Sequence[RawValue]) -> dict:
     from tools import get_handler
 
-    #  if current_tool == "move_money":
-    #     workflow.logger.warning(f"trying for move_money direct")
     tool_name = activity.info().activity_type  # e.g. "FindEvents"
     tool_args = activity.payload_converter().from_payload(args[0].payload, dict)
     activity.logger.info(f"Running dynamic tool '{tool_name}' with args: {tool_args}")
@@ -503,3 +515,5 @@ async def dynamic_tool_activity(args: Sequence[RawValue]) -> dict:
     # Optionally log or augment the result
     activity.logger.info(f"Tool '{tool_name}' result: {result}")
     return result
+
+
diff --git a/adding-goals-and-tools.md b/adding-goals-and-tools.md
index e24920e..67a2171 100644
--- a/adding-goals-and-tools.md
+++ b/adding-goals-and-tools.md
@@ -1,16 +1,16 @@
-## Customizing the Agent
+# Customizing the Agent
 The agent is set up to allow for multiple goals and to switch back to choosing a new goal at the end of every successful goal. A goal is made up of a list of tools that the agent will guide the user through. 
 
 It may be helpful to review the [architecture](./architecture.md) for a guide and definition of goals, tools, etc.
 
-### Adding a New Goal Category
+## Adding a New Goal Category
 Goal Categories lets you pick which groups of goals to show. Set via an .env setting, GOAL_CATEGORIES.
 1. Pick a unique one that has some business meaning
 2. Use it in your .env file
 3. Add to [.env.example](./.env.example)
 4. Use it in your Goal definition, see below.
 
-### Adding a Goal
+## Adding a Goal
 1.  Open [/tools/goal_registry.py](tools/goal_registry.py) - this file contains descriptions of goals and the tools used to achieve them
 2. Pick a name for your goal! (such as "goal_hr_schedule_pto")
 3. Fill out the required elements:
@@ -34,9 +34,9 @@ tools=[
 - `example_conversation_history`: LLM-facing sample conversation/interaction regarding the goal. See the existing goals for how to structure this.
 4. Add your new goal to the `goal_list` at the bottom using `goal_list.append(your_super_sweet_new_goal)`
 
-### Adding Tools
+## Adding Tools
 
-#### Notes
+### Optional Tools
 Tools can be optional - you can indicate this in the tool listing of goal description (see above section re: goal registry) by adding something like, "This step is optional and can be skipped by moving to the next tool." Here is an example from an older iteration of the `goal_hr_schedule_pto` goal, when it was going to have an optional step to check for existing calendar conflicts:
 
 ```
@@ -47,24 +47,42 @@ description="Help the user gather args for these tools in order: "
     "4. BookPTO: Book PTO "
 ```
 
-#### Add to Tool Registry
+Tools should generally return meaningful information and be generally ‘failsafe’ in returning a useful result based on input.
+(If you're doing a local data approach like those in [.tools/data/](./tools/data/)) it's good to document how they can be setup to get a good result in tool specific [setup](./setup.md).
+
+### Add to Tool Registry
 1.  Open [/tools/tool_registry.py](tools/tool_registry.py) - this file contains mapping of tool names to tool definitions (so the AI understands how to use them)
 2. Define the tool
 - `name`: name of the tool - this is the name as defined in the goal description list of tools. The name should be (sort of) the same as the tool name given in the goal description. So, if the description lists "CurrentPTO" as a tool, the name here should be `current_pto_tool`.
 - `description`: LLM-facing description of tool
 - `arguments`: These are the _input_ arguments to the tool. Each input argument should be defined as a [ToolArgument](./models/tool_definitions.py). Tools don't have to have arguments but the arguments list has to be declared. If the tool you're creating doesn't have inputs, define arguments as `arguments=[]`
 
-#### Create Each Tool
+### Create Each Tool
 - The tools themselves are defined in their own files in `/tools` - you can add a subfolder to organize them, see the hr tools for an example.
 - The file name and function name will be the same as each other and should also be the same as the name of the tool, without "tool" - so `current_pto_tool` would be `current_pto.py` with a function named `current_pto` within it.
 - The function should have `args: dict` as the input and also return a `dict`
 - The return dict should match the output format you specified in the goal's `example_conversation_history`
 - tools are where the user input+model output becomes deterministic. Add validation here to make sure what the system is doing is valid and acceptable
 
-#### Add to `tools/__init__.py` and the tool get_handler()
+### Add to `tools/__init__.py` and the tool get_handler()
 - In [tools/__init__.py](./tools/__init__.py), add an import statement for each new tool as well as an applicable return statement in `get_handler`. The tool name here should match the tool name as described in the goal's `description` field.
 Example:
 ```
 if tool_name == "CurrentPTO":
     return current_pto
 ```
+## Tool Confirmation
+There are three ways to manage confirmation of tool runs:
+1. Arguments confirmation box - confirm tool arguments and execution with a button click
+   -  Can be disabled by env setting: `SHOW_CONFIRM=FALSE`
+2. Soft prompt confirmation via asking the model to prompt for confirmation: “Are you ready to be invoiced for the total cost of the train tickets?” in the [goal_registry](./tools/goal_registry.py).
+3. Hard confirmation requirement as a tool argument. See for example the PTO Scheduling Tool:
+```Python
+        ToolArgument(
+            name="userConfirmation",
+            type="string",
+            description="Indication of user's desire to book PTO",
+        ),
+```
+If you really want to wait for user confirmation, record it on the workflow (as a Signal) and not rely on the LLM to probably get it, use option #3. 
+I recommend exploring all three. For a demo, I would decide if you want the Arguments confirmation in the UI, and if not I'd generally go with option #2 but use #3 for tools that make business sense to confirm, e.g. those tools that take action/write data.
\ No newline at end of file
diff --git a/models/data_types.py b/models/data_types.py
index 39b9357..b7ee350 100644
--- a/models/data_types.py
+++ b/models/data_types.py
@@ -42,3 +42,8 @@ class ValidationResult:
         # Initialize empty dict if None
         if self.validationFailedReason is None:
             self.validationFailedReason = {}
+
+@dataclass
+class EnvLookupInput:
+    env_var_name: str
+    default: bool
\ No newline at end of file
diff --git a/prompts/agent_prompt_generators.py b/prompts/agent_prompt_generators.py
index 4ce9194..6bae621 100644
--- a/prompts/agent_prompt_generators.py
+++ b/prompts/agent_prompt_generators.py
@@ -126,7 +126,9 @@ def generate_tool_completion_prompt(current_tool: str, dynamic_result: dict) ->
         '{"next": "<question|confirm|pick-new-goal|done>", "tool": "<tool_name or null>", "args": {"<arg1>": "<value1 or null>", "<arg2>": "<value2 or null>}, "response": "<plain text (can include \\n line breaks)>"}'
         "ONLY return those json keys (next, tool, args, response), nothing else. "
         'Next should be "question" if the tool is not the last one in the sequence. '
+        'Next should be "done" if the user is asking to be done with the chat. '
         'Next should only be "pick-new-goal" if all tools have been run (use the system prompt to figure that out).'
+        #'If all tools have been run (use the system prompt to figure that out) then clear tool history.' todo maybe fix this
     )
 
 def generate_missing_args_prompt(current_tool: str, tool_data: dict, missing_args: list[str]) -> str:
diff --git a/scripts/run_worker.py b/scripts/run_worker.py
index c5b280e..60aafbf 100644
--- a/scripts/run_worker.py
+++ b/scripts/run_worker.py
@@ -62,6 +62,7 @@ async def main():
             activities=[
                 activities.agent_validatePrompt,
                 activities.agent_toolPlanner,
+                activities.get_env_bool,
                 dynamic_tool_activity,
             ],
             activity_executor=activity_executor,
diff --git a/setup.md b/setup.md
index b19cc09..4f6029a 100644
--- a/setup.md
+++ b/setup.md
@@ -8,7 +8,8 @@ cp .env.example .env
 ```
 
 Then add API keys, configuration, as desired.
-If you want to show confirmations/enable the debugging UI, set
+
+If you want to show confirmations/enable the debugging UI that shows tool args, set
 ```bash
 SHOW_CONFIRM=True
 ```
@@ -188,13 +189,19 @@ dotnet run
 ```
 If you're running your train API above on a different host/port then change the API URL in `Program.cs`. Otherwise, be sure to run it using `python thirdparty/train_api.py`.
 
-#### Goals: Money Movement
+#### Goals: FIN/Money Movement
+Make sure you have the mock users you want (such as yourself) in [the account mock data file](./tools/data/customer_account_data.json).
+
 - `AGENT_GOAL=goal_fin_move_money` - This scenario _can_ initiate a secondary workflow to move money. Check out [this repo](https://github.com/temporal-sa/temporal-money-transfer-java) - you'll need to get the worker running and connected to the same account as the agentic worker. 
 By default it will _not_ make a real workflow, it'll just fake it. If you get the worker running and want to start a workflow, in your [.env](./.env):
 ```bash
 FIN_START_REAL_WORKFLOW=FALSE #set this to true to start a real workflow
 ```
 
+#### Goals: HR/PTO
+Make sure you have the mock users you want in (such as yourself) in [the PTO mock data file](./tools/data/employee_pto_data.json).
+
+
 ## Customizing the Agent Further
 - `tool_registry.py` contains the mapping of tool names to tool definitions (so the AI understands how to use them)
 - `goal_registry.py` contains descriptions of goals and the tools used to achieve them
diff --git a/tests/agent_goal_workflow_test.py b/tests/agent_goal_workflow_test.py
index b280def..c94206b 100644
--- a/tests/agent_goal_workflow_test.py
+++ b/tests/agent_goal_workflow_test.py
@@ -5,7 +5,7 @@ from temporalio.worker import Worker
 from temporalio.testing import TestWorkflowEnvironment
 from api.main import get_initial_agent_goal
 from models.data_types import AgentGoalWorkflowParams, CombinedInput
-from workflows import AgentGoalWorkflow
+from workflows.agent_goal_workflow import AgentGoalWorkflow
 from activities.tool_activities import ToolActivities, dynamic_tool_activity
 
 
@@ -17,12 +17,7 @@ async def asyncTearDown(self):
     # Clean up after tests
     await self.env.shutdown()
 
-async def test_workflow_success(client: Client):
-    # Register the workflow and activity
-    # self.env.register_workflow(AgentGoalWorkflow)
-    # self.env.register_activity(ToolActivities.agent_validatePrompt)
-    # self.env.register_activity(ToolActivities.agent_toolPlanner)
-    # self.env.register_activity(dynamic_tool_activity)
+async def test_flight_booking(client: Client):
 
     task_queue_name = "agent-ai-workflow"
     workflow_id = "agent-workflow"
@@ -37,16 +32,19 @@ async def test_workflow_success(client: Client):
 
     workflow_id = "agent-workflow"
     async with Worker(client, task_queue=task_queue_name, workflows=[AgentGoalWorkflow], activities=[ToolActivities.agent_validatePrompt, ToolActivities.agent_toolPlanner, dynamic_tool_activity]):
+
+        # todo set goal categories for scenarios
         handle = await client.start_workflow(
             AgentGoalWorkflow.run, id=workflow_id, task_queue=task_queue_name
         )
-        # todo fix signals
-        await handle.signal(AgentGoalWorkflow.submit_greeting, "user1")
-        await handle.signal(AgentGoalWorkflow.submit_greeting, "user2")
+        # todo send signals based on 
+        await handle.signal(AgentGoalWorkflow.user_prompt, "book flights")
+        await handle.signal(AgentGoalWorkflow.user_prompt, "sydney in september")
         assert WorkflowExecutionStatus.RUNNING == (await handle.describe()).status
 
-        await handle.signal(AgentGoalWorkflow.exit)
-        assert ["Hello, user1", "Hello, user2"] == await handle.result()
+        
+        #assert ["Hello, user1", "Hello, user2"] == await handle.result()
+        await handle.signal(AgentGoalWorkflow.user_prompt, "I'm all set, end conversation")
         assert WorkflowExecutionStatus.COMPLETED == (await handle.describe()).status
 
    
diff --git a/todo.md b/todo.md
index 1ccca5c..c56602c 100644
--- a/todo.md
+++ b/todo.md
@@ -1,27 +1,45 @@
 # todo list
+[ ] mergey stuffs <br />
+- [x] make confirm work how you want when force_confirm is on and off <br />
+    - [x] test with confirm on and off - single goal <br />
+        - [x] confirmation off-> it's unclear it's asking for confirmation unless we set `self.confirm = False` in the workflow  - maybe we should take the args/confirm route? - test with confirm on box - test with book PTO<br />
+    - [x] test with confirm on and off - multi goal <br />
+- [x] documenting confirm <br />
+- [x] document how to do debugging confirm force confirm with toolchain in setup and adding-goals-and-tools <br />
+- [x] document how to do optional confirm at goal/tool level <br /> 
+- [ ] goal change management tweaks <br />
+    - [ ] maybe make the choose_Agent_goal tag not be system/not always included? <br />
+    - [ ] try taking out list-agents as a tool because agent_prompt_generators may do it for you <br />
+    - [ ] make goal selection not be a system tool but be an option in .env, see how that works, includes taking it out of the goal/toolset for all goals <br />
+- [x] make the goal selection/capabilities work how you want <br />
+- [x] make end-conversation work when force_confirm is on and off <br />
+
+
+- [x] make tool selection work  when force_confirm is on and off <br />
+
+- [x] updates to PTO and money movement setup docs re data file <br />
+- [x] fixing NDE about changing force_confirm <br />
+- [x] rename self.confirm to self.confirmed to be clearer
+- [x] rename show_confirm to show_confirm_and_tool_args
+
+- [x] remove print debugging and todo comments
+[ ] expand [tests](./tests/agent_goal_workflow_test.py)<br />
 [ ] try claude-3-7-sonnet-20250219, see [tool_activities.py](./activities/tool_activities.py) <br />
 [x] make agent respond to name of goals and not just numbers <br />
 [x] josh to do fintech scenarios <br />
-[ ] expand [tests](./tests/agent_goal_workflow_test.py)<br />
+
 
 [ ] fintech goals <br />
 - Fraud Detection and Prevention - The AI monitors transactions across accounts, flagging suspicious activities (e.g., unusual spending patterns or login attempts) and autonomously freezing accounts or notifying customers and compliance teams.<br />
 - Personalized Financial Advice - An AI agent analyzes a customer’s financial data (e.g., income, spending habits, savings, investments) and provides tailored advice, such as budgeting tips, investment options, or debt repayment strategies.<br />
 - Portfolio Management and Rebalancing - The AI monitors a customer’s investment portfolio, rebalancing it automatically based on market trends, risk tolerance, and financial goals (e.g., shifting assets between stocks, bonds, or crypto).<br />
-[x] money movement - start money transfer <br />
-[x] todo use env vars to do connect to local or non-local
-[x] account balance - <br />
+
 [ ] new loan/fraud check/update with start <br />
 
 
 [ ] ask the ai agent how it did at the end of the conversation, was it efficient? successful? insert a search attribute to document that before return <br />
 - Insight into the agent’s performance <br />
-
 [ ] non-retry the api key error - "Invalid API Key provided: sk_test_**J..." and "AuthenticationError" <br />
-
 [ ] add visual feedback when workflow starting <br />
-[ ] figure out how to allow user to list agents at any time - like end conversation <br />
-
-[ ] change initial goal selection prompt to list capabilities and prompt more nicely - not a bulleted list - see how that works
-
-[x] todo use env vars to do connect to local or non-local cloud for activities for money scenarios
\ No newline at end of file
+[ ] enable user to list agents at any time - like end conversation - probably with a next step<br />
+ - with changing "'Next should only be "pick-new-goal" if all tools have been run (use the system prompt to figure that out).'" in [prompt_generators](./prompts/agent_prompt_generators.py).
\ No newline at end of file
diff --git a/tools/data/employee_pto_data.json b/tools/data/employee_pto_data.json
index c5c38d6..defa9d0 100644
--- a/tools/data/employee_pto_data.json
+++ b/tools/data/employee_pto_data.json
@@ -11,7 +11,17 @@
         "email": "laine@awesome.com",
         "currentPTOHrs": 40,
         "hrsAddedPerMonth": 12
-      }
+      },
+      {
+        "email": "steve.this.is.for.you@gmail.com",
+        "currentPTOHrs": 4000,
+        "hrsAddedPerMonth": 20
+      },
+      {
+        "email": "your_email_here@yourcompany.com",
+        "currentPTOHrs": 150,
+        "hrsAddedPerMonth": 19
+      } 
     ]
   }
 }
\ No newline at end of file
diff --git a/tools/goal_registry.py b/tools/goal_registry.py
index 9607e0a..7042919 100644
--- a/tools/goal_registry.py
+++ b/tools/goal_registry.py
@@ -39,8 +39,8 @@ goal_choose_agent_type = AgentGoal(
             "agent: Here are the currently available agents.",
             "user_confirmed_tool_run: <user clicks confirm on ListAgents tool>",
             "tool_result: { 'agent_name': 'Event Flight Finder', 'goal_id': 'goal_event_flight_invoice', 'agent_description': 'Helps users find interesting events and arrange travel to them' }",
-            "agent: The available agents are: 1. Event Flight Finder. \n Which agent would you like to speak to?",
-            "user: 1",
+            "agent: The available agents are: 1. Event Flight Finder. \n Which agent would you like to speak to (?",
+            "user: 1, Event Flight Finder",
             "user_confirmed_tool_run: <user clicks confirm on ChangeGoal tool>",
             "tool_result: { 'new_goal': 'goal_event_flight_invoice' }",
         ]
@@ -153,7 +153,7 @@ goal_event_flight_invoice = AgentGoal(
         tool_registry.find_events_tool,
         tool_registry.search_flights_tool,
         tool_registry.create_invoice_tool,
-        tool_registry.list_agents_tool, #last tool must be list_agents to fasciliate changing back to picking an agent again at the end
+        #tool_registry.list_agents_tool, #last tool must be list_agents to faciliate changing back to picking an agent again at the end
     ],
     description="Help the user gather args for these tools in order: "
     "1. FindEvents: Find an event to travel to "
diff --git a/workflows/agent_goal_workflow.py b/workflows/agent_goal_workflow.py
index 86324ff..660e3b5 100644
--- a/workflows/agent_goal_workflow.py
+++ b/workflows/agent_goal_workflow.py
@@ -6,7 +6,7 @@ from typing import Dict, Any, Union, List, Optional, Deque, TypedDict
 from temporalio.common import RetryPolicy
 from temporalio import workflow
 
-from models.data_types import ConversationHistory, NextStep, ValidationInput
+from models.data_types import ConversationHistory, NextStep, ValidationInput, EnvLookupInput
 from models.tool_definitions import AgentGoal
 from workflows.workflow_helpers import LLM_ACTIVITY_START_TO_CLOSE_TIMEOUT, \
     LLM_ACTIVITY_SCHEDULE_TO_CLOSE_TIMEOUT
@@ -26,12 +26,6 @@ with workflow.unsafe.imports_passed_through():
 # Constants
 MAX_TURNS_BEFORE_CONTINUE = 250
 
-show_confirm_env = os.getenv("SHOW_CONFIRM")
-if show_confirm_env is not None and show_confirm_env.lower() == "false":
-    SHOW_CONFIRM = False
-else:
-    SHOW_CONFIRM = True
-
 #ToolData as part of the workflow is what's accessible to the UI - see LLMResponse.jsx for example
 class ToolData(TypedDict, total=False):
     next: NextStep
@@ -50,9 +44,10 @@ class AgentGoalWorkflow:
         self.conversation_summary: Optional[str] = None
         self.chat_ended: bool = False
         self.tool_data: Optional[ToolData] = None
-        self.confirm: bool = False
+        self.confirmed: bool = False # indicates that we have confirmation to proceed to run tool
         self.tool_results: List[Dict[str, Any]] = []
         self.goal: AgentGoal = {"tools": []}
+        self.show_tool_args_confirmation: bool = True
 
     # see ../api/main.py#temporal_client.start_workflow() for how the input parameters are set
     @workflow.run
@@ -63,6 +58,8 @@ class AgentGoalWorkflow:
         params = combined_input.tool_params
         self.goal = combined_input.agent_goal
 
+        await self.lookup_wf_env_settings(combined_input)
+
         # add message from sample conversation provided in tools/goal_registry.py, if it exists
         if params and params.conversation_summary:
             self.add_message("conversation_summary", params.conversation_summary)
@@ -83,7 +80,7 @@ class AgentGoalWorkflow:
         while True:
             # wait indefinitely for input from signals - user_prompt, end_chat, or confirm as defined below
             await workflow.wait_condition(
-                lambda: bool(self.prompt_queue) or self.chat_ended or self.confirm
+                lambda: bool(self.prompt_queue) or self.chat_ended or self.confirmed
             )
 
             # handle chat should end. When chat ends, push conversation history to workflow results.
@@ -141,7 +138,8 @@ class AgentGoalWorkflow:
                         initial_interval=timedelta(seconds=5), backoff_coefficient=1
                     ),
                 )
-                tool_data["force_confirm"] = SHOW_CONFIRM
+
+                tool_data["force_confirm"] = self.show_tool_args_confirmation
                 self.tool_data = tool_data
 
                 # process the tool as dictated by the prompt response - what to do next, and with which tool
@@ -150,30 +148,35 @@ class AgentGoalWorkflow:
 
                 workflow.logger.info(f"next_step: {next_step}, current tool is {current_tool}")
 
-                #if the next step is to confirm...
+                # make sure we're ready to run the tool & have everything we need
                 if next_step == "confirm" and current_tool:
                     args = tool_data.get("args", {})
-                    #if we're missing arguments, go back to the top of the loop
+                    # if we're missing arguments, ask for them 
                     if await helpers.handle_missing_args(current_tool, args, tool_data, self.prompt_queue):
                         continue
 
-                    #...otherwise, if we want to force the user to confirm, set that up
                     waiting_for_confirm = True
-                    if SHOW_CONFIRM:
-                        self.confirm = False
+
+                    # We have needed arguments, if we want to force the user to confirm, set that up                    
+                    if self.show_tool_args_confirmation:
+                        self.confirmed = False # set that we're not confirmed 
                         workflow.logger.info("Waiting for user confirm signal...")
+                    # if we have all needed arguments (handled above) and not holding for a debugging confirm, proceed:
                     else:
-                        #theory - set self.confirm to true bc that's the signal, so we can get around the signal??
-                        self.confirm = True
+                        self.confirmed = True
 
                 # else if the next step is to pick a new goal...
                 elif next_step == "pick-new-goal":
                     workflow.logger.info("All steps completed. Resetting goal.")
                     self.change_goal("goal_choose_agent_type")
                 
-                # else if the next step is to be done - this should only happen if the user requests it via "end conversation"
+                # else if the next step is to be done with the conversation such as if the user requests it via asking to "end conversation"
                 elif next_step == "done":
+                    
                     self.add_message("agent", tool_data)
+
+                    #todo send conversation to AI for analysis
+
                     # end the workflow
                     return str(self.conversation_history)
 
@@ -198,10 +201,10 @@ class AgentGoalWorkflow:
 
     #Signal that comes from api/main.py via a post to /confirm
     @workflow.signal
-    async def confirm(self) -> None:
+    async def confirmed(self) -> None:
         """Signal handler for user confirmation of tool execution."""
         workflow.logger.info("Received user signal: confirmation")
-        self.confirm = True
+        self.confirmed = True
 
     #Signal that comes from api/main.py via a post to /end-chat
     @workflow.signal
@@ -210,6 +213,20 @@ class AgentGoalWorkflow:
         workflow.logger.info("signal received: end_chat")
         self.chat_ended = True
 
+    #Signal that can be sent from Temporal Workflow UI to enable debugging confirm and override .env setting
+    @workflow.signal
+    async def enable_debugging_confirm(self) -> None:
+        """Signal handler for enabling debugging confirm UI & associated logic."""
+        workflow.logger.info("signal received: enable_debugging_confirm")
+        self.enable_debugging_confirm = True
+
+    #Signal that can be sent from Temporal Workflow UI to disable debugging confirm and override .env setting
+    @workflow.signal
+    async def disable_debugging_confirm(self) -> None:
+        """Signal handler for disabling debugging confirm UI & associated logic."""
+        workflow.logger.info("signal received: disable_debugging_confirm")
+        self.enable_debugging_confirm = False
+
     @workflow.query
     def get_conversation_history(self) -> ConversationHistory:
         """Query handler to retrieve the full conversation history."""
@@ -274,7 +291,7 @@ class AgentGoalWorkflow:
     
     # define if we're ready for tool execution
     def ready_for_tool_execution(self, waiting_for_confirm: bool, current_tool: Any) -> bool:
-        if self.confirm and waiting_for_confirm and current_tool and self.tool_data:
+        if self.confirmed and waiting_for_confirm and current_tool and self.tool_data:
             return True
         else:
             return False
@@ -286,12 +303,24 @@ class AgentGoalWorkflow:
              return False
          else:
              return True
-        
+         
+    # look up env settings as needed in activities so they're part of history
+    async def lookup_wf_env_settings(self, combined_input: CombinedInput)->None:
+        env_lookup_input = EnvLookupInput(env_var_name = "SHOW_CONFIRM", default = True)
+        self.show_tool_args_confirmation = await workflow.execute_activity(
+            ToolActivities.get_env_bool, 
+            env_lookup_input,
+            start_to_close_timeout=LLM_ACTIVITY_START_TO_CLOSE_TIMEOUT,
+            retry_policy=RetryPolicy(
+                initial_interval=timedelta(seconds=5), backoff_coefficient=1
+            ),
+        )
+    
     # execute the tool - return False if we're not waiting for confirm anymore (always the case if it works successfully)
     # 
     async def execute_tool(self, current_tool: str)->bool:
         workflow.logger.info(f"workflow step: user has confirmed, executing the tool {current_tool}")
-        self.confirm = False
+        self.confirmed = False
         waiting_for_confirm = False
         confirmed_tool_data = self.tool_data.copy()
         confirmed_tool_data["next"] = "user_confirmed_tool_run"
@@ -317,5 +346,13 @@ class AgentGoalWorkflow:
                 self.change_goal("goal_choose_agent_type")
         return waiting_for_confirm
         
-
+    # debugging helper - drop this in various places in the workflow to get status
+    # also don't forget you can look at the workflow itself and do queries if you want
+    def print_useful_workflow_vars(self, status_or_step:str) -> None:
+        print(f"***{status_or_step}:***")
+        print(f"force confirm? {self.tool_data['force_confirm']}")
+        print(f"next step: {self.tool_data.get('next')}")
+        print(f"current_tool: {self.tool_data.get('tool')}")
+        print(f"self.confirm: {self.confirmed}")
+        print(f"waiting_for_confirm (about to be set to true): {self.waiting_for_confirm}")
     

From f567583b3a580c85da8267a4bc7ec6ef79190a5f Mon Sep 17 00:00:00 2001
From: Joshua Smith <joshmsmith@gmail.com>
Date: Thu, 3 Apr 2025 15:57:35 -0400
Subject: [PATCH 67/98] todo updates

---
 todo.md | 32 +++++---------------------------
 1 file changed, 5 insertions(+), 27 deletions(-)

diff --git a/todo.md b/todo.md
index c56602c..a1bf30a 100644
--- a/todo.md
+++ b/todo.md
@@ -1,35 +1,13 @@
 # todo list
-[ ] mergey stuffs <br />
-- [x] make confirm work how you want when force_confirm is on and off <br />
-    - [x] test with confirm on and off - single goal <br />
-        - [x] confirmation off-> it's unclear it's asking for confirmation unless we set `self.confirm = False` in the workflow  - maybe we should take the args/confirm route? - test with confirm on box - test with book PTO<br />
-    - [x] test with confirm on and off - multi goal <br />
-- [x] documenting confirm <br />
-- [x] document how to do debugging confirm force confirm with toolchain in setup and adding-goals-and-tools <br />
-- [x] document how to do optional confirm at goal/tool level <br /> 
-- [ ] goal change management tweaks <br />
-    - [ ] maybe make the choose_Agent_goal tag not be system/not always included? <br />
-    - [ ] try taking out list-agents as a tool because agent_prompt_generators may do it for you <br />
-    - [ ] make goal selection not be a system tool but be an option in .env, see how that works, includes taking it out of the goal/toolset for all goals <br />
-- [x] make the goal selection/capabilities work how you want <br />
-- [x] make end-conversation work when force_confirm is on and off <br />
+[ ] goal change management tweaks <br />
+  - [ ] maybe make the choose_Agent_goal tag not be system/not always included? <br />
+  - [ ] try taking out list-agents as a tool because agent_prompt_generators may do it for you <br />
+  - [ ] make goal selection not be a system tool but be an option in .env, see how that works, includes taking it out of the goal/toolset for all goals <br />
 
-
-- [x] make tool selection work  when force_confirm is on and off <br />
-
-- [x] updates to PTO and money movement setup docs re data file <br />
-- [x] fixing NDE about changing force_confirm <br />
-- [x] rename self.confirm to self.confirmed to be clearer
-- [x] rename show_confirm to show_confirm_and_tool_args
-
-- [x] remove print debugging and todo comments
 [ ] expand [tests](./tests/agent_goal_workflow_test.py)<br />
 [ ] try claude-3-7-sonnet-20250219, see [tool_activities.py](./activities/tool_activities.py) <br />
-[x] make agent respond to name of goals and not just numbers <br />
-[x] josh to do fintech scenarios <br />
 
-
-[ ] fintech goals <br />
+[ ] adding fintech goals <br />
 - Fraud Detection and Prevention - The AI monitors transactions across accounts, flagging suspicious activities (e.g., unusual spending patterns or login attempts) and autonomously freezing accounts or notifying customers and compliance teams.<br />
 - Personalized Financial Advice - An AI agent analyzes a customer’s financial data (e.g., income, spending habits, savings, investments) and provides tailored advice, such as budgeting tips, investment options, or debt repayment strategies.<br />
 - Portfolio Management and Rebalancing - The AI monitors a customer’s investment portfolio, rebalancing it automatically based on market trends, risk tolerance, and financial goals (e.g., shifting assets between stocks, bonds, or crypto).<br />

From c18a40b5024df787c46f97f2098eb65b65fd6c49 Mon Sep 17 00:00:00 2001
From: Joshua Smith <joshmsmith@gmail.com>
Date: Tue, 8 Apr 2025 15:01:11 -0400
Subject: [PATCH 68/98] - dynamic agent prompt based on multi goal or not -
 made choose_agent_goal be dynamically included - made tool selection not be
 required in all toolchains - changes to get env vars easier in workflow -
 Updated docs/guides, todo based on aboe

---
 .env.example                       |  7 ++--
 activities/tool_activities.py      | 33 ++++++++++-----
 adding-goals-and-tools.md          |  3 +-
 models/data_types.py               |  9 ++++-
 prompts/agent_prompt_generators.py | 65 ++++++++++++++++++++++++++++--
 scripts/run_worker.py              |  2 +-
 setup.md                           |  7 +++-
 todo.md                            | 12 ++++--
 tools/goal_registry.py             | 21 +++-------
 tools/list_agents.py               |  6 +++
 workflows/agent_goal_workflow.py   | 44 ++++++++++++--------
 11 files changed, 150 insertions(+), 59 deletions(-)

diff --git a/.env.example b/.env.example
index 5140da8..ef6bf09 100644
--- a/.env.example
+++ b/.env.example
@@ -35,12 +35,13 @@ OPENAI_API_KEY=sk-proj-...
 # Uncomment if using API key (not needed for local dev server)
 # TEMPORAL_API_KEY=abcdef1234567890
 
-# Set starting goal of agent - if unset default is all
-AGENT_GOAL=goal_choose_agent_type  # default for multi-goal  start
+# Set starting goal of agent - if unset default is goal_choose_agent_type
+AGENT_GOAL=goal_choose_agent_type  # for multi-goal  start
 #AGENT_GOAL=goal_event_flight_invoice # for original goal
 #AGENT_GOAL=goal_match_train_invoice # for replay goal
 
-#Choose which category(ies) of goals you want to be listed by the Agent - options are system (always included), hr, travel, or all. 
+#Choose which category(ies) of goals you want to be listed by the Agent Goal picker if enabled above
+# - options are system (always included), hr, travel, or all. 
 GOAL_CATEGORIES=hr,travel-flights,travel-trains,fin # default is all
 #GOAL_CATEGORIES=travel-flights
 
diff --git a/activities/tool_activities.py b/activities/tool_activities.py
index e546414..9d466bc 100644
--- a/activities/tool_activities.py
+++ b/activities/tool_activities.py
@@ -11,7 +11,7 @@ import google.generativeai as genai
 import anthropic
 import deepseek
 from dotenv import load_dotenv
-from models.data_types import ValidationInput, ValidationResult, ToolPromptInput, EnvLookupInput
+from models.data_types import EnvLookupOutput, ValidationInput, ValidationResult, ToolPromptInput, EnvLookupInput
 
 load_dotenv(override=True)
 print(
@@ -370,7 +370,8 @@ class ToolActivities:
             print("Initialized Anthropic client on demand")
 
         response = self.anthropic_client.messages.create(
-            model="claude-3-5-sonnet-20241022",  # todo try claude-3-7-sonnet-20250219
+            #model="claude-3-5-sonnet-20241022",  # todo try claude-3-7-sonnet-20250219
+            model="claude-3-7-sonnet-20250219",  # todo try claude-3-7-sonnet-20250219
             max_tokens=1024,
             system=input.context_instructions
             + ". The current date is "
@@ -473,17 +474,29 @@ class ToolActivities:
 
     # get env vars for workflow
     @activity.defn
-    async def get_env_bool(self, input: EnvLookupInput) -> bool:
-        """ gets boolean env vars for workflow as an activity result so it's deterministic
+    async def get_wf_env_vars(self, input: EnvLookupInput) -> EnvLookupOutput:
+        """ gets env vars for workflow as an activity result so it's deterministic
             handles default/None
         """
-        value = os.getenv(input.env_var_name)
-        if value is None:
-            return input.default
-        if value is not None and value.lower() == "false":
-            return False
+        output: EnvLookupOutput = EnvLookupOutput(show_confirm=input.show_confirm_default, 
+                                                  multi_goal_mode=True)
+        show_confirm_value = os.getenv(input.show_confirm_env_var_name)
+        if show_confirm_value is None:
+            output.show_confirm = input.show_confirm_default
+        elif show_confirm_value is not None and show_confirm_value.lower() == "false":
+            output.show_confirm = False
         else:
-            return True
+            output.show_confirm = True
+        
+        first_goal_value = os.getenv("AGENT_GOAL")
+        if first_goal_value is None:
+            output.multi_goal_mode = True # default if unset
+        elif first_goal_value is not None and first_goal_value.lower() != "goal_choose_agent_type":
+            output.multi_goal_mode = False
+        else:
+            output.multi_goal_mode = True
+
+        return output
 
 
 def get_current_date_human_readable():
diff --git a/adding-goals-and-tools.md b/adding-goals-and-tools.md
index 67a2171..910b39d 100644
--- a/adding-goals-and-tools.md
+++ b/adding-goals-and-tools.md
@@ -19,14 +19,13 @@ Goal Categories lets you pick which groups of goals to show. Set via an .env set
 - `category_tag`: category for the goal
 - `agent_friendly_description`: user-facing description of what the agent/chatbot does
 - `tools`: the list of tools the goal will walk the user through. These will be defined in the [tools/tool_registry.py](tools/tool_registry.py) and should be defined in list form as tool_registry.[name of tool]
-- Important! If you want to prompt the user with options for another goal, the last tool listed must be `list_agents_tool`. This allows the chatbot to guide the user back to choosing from the list of available goals once a goal is complete. This is recommended for multi-goal behavior. The `goal_choose_agent_type` is the exception as it handles the changing of goals. <br />
+
 Example:
 ```
 tools=[
     tool_registry.current_pto_tool,
     tool_registry.future_pto_calc_tool,
     tool_registry.book_pto_tool,
-    tool_registry.list_agents_tool,
 ]
 ```
 - `description`: LLM-facing description of the goal that lists the tools by name and purpose.
diff --git a/models/data_types.py b/models/data_types.py
index b7ee350..9b7d67d 100644
--- a/models/data_types.py
+++ b/models/data_types.py
@@ -45,5 +45,10 @@ class ValidationResult:
 
 @dataclass
 class EnvLookupInput:
-    env_var_name: str
-    default: bool
\ No newline at end of file
+    show_confirm_env_var_name: str
+    show_confirm_default: bool
+
+@dataclass
+class EnvLookupOutput:
+    show_confirm: bool
+    multi_goal_mode: bool
\ No newline at end of file
diff --git a/prompts/agent_prompt_generators.py b/prompts/agent_prompt_generators.py
index 6bae621..71c9d67 100644
--- a/prompts/agent_prompt_generators.py
+++ b/prompts/agent_prompt_generators.py
@@ -2,15 +2,17 @@ from models.tool_definitions import AgentGoal
 from typing import Optional
 import json
 
+MULTI_GOAL_MODE:bool = None
 
 def generate_genai_prompt(
-    agent_goal: AgentGoal, conversation_history: str, raw_json: Optional[str] = None
+    agent_goal: AgentGoal, conversation_history: str, multi_goal_mode:bool, raw_json: Optional[str] = None
 ) -> str:
     """
     Generates a concise prompt for producing or validating JSON instructions
     with the provided tools and conversation history.
     """
     prompt_lines = []
+    set_multi_goal_mode_if_unset(multi_goal_mode)
 
     # Intro / Role
     prompt_lines.append(
@@ -81,7 +83,7 @@ def generate_genai_prompt(
         "1) If any required argument is missing, set next='question' and ask the user.\n"
         "2) If all required arguments are known, set next='confirm' and specify the tool.\n"
         "   The user will confirm before the tool is run.\n"
-        "3) If no more tools are needed (user_confirmed_tool_run has been run for all), set next='confirm' and tool='ListAgents'.\n"
+        f"3) {generate_toolchain_complete_guidance()}\n"
         "4) response should be short and user-friendly.\n"
     )
 
@@ -127,8 +129,7 @@ def generate_tool_completion_prompt(current_tool: str, dynamic_result: dict) ->
         "ONLY return those json keys (next, tool, args, response), nothing else. "
         'Next should be "question" if the tool is not the last one in the sequence. '
         'Next should be "done" if the user is asking to be done with the chat. '
-        'Next should only be "pick-new-goal" if all tools have been run (use the system prompt to figure that out).'
-        #'If all tools have been run (use the system prompt to figure that out) then clear tool history.' todo maybe fix this
+        f"{generate_pick_new_goal_guidance()}"
     )
 
 def generate_missing_args_prompt(current_tool: str, tool_data: dict, missing_args: list[str]) -> str:
@@ -148,3 +149,59 @@ def generate_missing_args_prompt(current_tool: str, tool_data: dict, missing_arg
         f"and following missing arguments for tool {current_tool}: {missing_args}. "
         "Only provide a valid JSON response without any comments or metadata."
     )
+
+def set_multi_goal_mode_if_unset(mode:bool)->None:
+    """
+    Set multi-mode (used to pass workflow)
+    
+    Args:
+        None
+        
+    Returns:
+        bool: True if in multi-goal mode, false if not
+    """
+    global MULTI_GOAL_MODE
+    if MULTI_GOAL_MODE is None:
+        MULTI_GOAL_MODE = mode
+
+def is_multi_goal_mode()-> bool:
+    """
+    Centralized logic for if we're in multi-goal mode.
+    
+    Args:
+        None
+        
+    Returns:
+        bool: True if in multi-goal mode, false if not
+    """
+    return MULTI_GOAL_MODE
+
+def generate_pick_new_goal_guidance()-> str:
+    """
+    Generates a prompt for guiding the LLM to pick a new goal or be done depending on multi-goal mode.
+    
+    Args:
+        None
+        
+    Returns:
+        str: A prompt string prompting the LLM to when to go to pick-new-goal
+    """
+    if is_multi_goal_mode(): 
+        return 'Next should only be "pick-new-goal" if all tools have been run (use the system prompt to figure that out) or the user explicitly requested to pick a new goal.'
+    else: 
+        return 'Next should never be "pick-new-goal".'
+
+def generate_toolchain_complete_guidance() -> str:
+    """
+    Generates a prompt for guiding the LLM to handle the end of the toolchain.
+    
+    Args:
+        None
+        
+    Returns:
+        str: A prompt string prompting the LLM to prompt for a new goal, or be done
+    """
+    if is_multi_goal_mode(): 
+        return "If no more tools are needed (user_confirmed_tool_run has been run for all), set next='confirm' and tool='ListAgents'."
+    else :
+        return "If no more tools are needed (user_confirmed_tool_run has been run for all), set next='done' and tool=''."
\ No newline at end of file
diff --git a/scripts/run_worker.py b/scripts/run_worker.py
index 60aafbf..c0d2a81 100644
--- a/scripts/run_worker.py
+++ b/scripts/run_worker.py
@@ -62,7 +62,7 @@ async def main():
             activities=[
                 activities.agent_validatePrompt,
                 activities.agent_toolPlanner,
-                activities.get_env_bool,
+                activities.get_wf_env_vars,
                 dynamic_tool_activity,
             ],
             activity_executor=activity_executor,
diff --git a/setup.md b/setup.md
index 4f6029a..a31df80 100644
--- a/setup.md
+++ b/setup.md
@@ -16,9 +16,12 @@ SHOW_CONFIRM=True
 
 ### Agent Goal Configuration
 
-The agent can be configured to pursue different goals using the `AGENT_GOAL` environment variable in your `.env` file.
+The agent can be configured to pursue different goals using the `AGENT_GOAL` environment variable in your `.env` file. If unset, default is `goal_choose_agent_type`. 
 
-The agent can support multiple goals using goal categories using `GOAL_CATEGORIES` in your .env file. If unset, default is all.
+If the first goal is `goal_choose_agent_type` the agent will support multiple goals using goal categories defined by `GOAL_CATEGORIES` in your .env file. If unset, default is all.
+```bash
+GOAL_CATEGORIES=hr,travel-flights,travel-trains,fin
+```
 
 See the section Goal-Specific Tool Configuration below for tool configuration for specific goals.
 
diff --git a/todo.md b/todo.md
index a1bf30a..f06d42b 100644
--- a/todo.md
+++ b/todo.md
@@ -1,11 +1,15 @@
 # todo list
 [ ] goal change management tweaks <br />
-  - [ ] maybe make the choose_Agent_goal tag not be system/not always included? <br />
-  - [ ] try taking out list-agents as a tool because agent_prompt_generators may do it for you <br />
-  - [ ] make goal selection not be a system tool but be an option in .env, see how that works, includes taking it out of the goal/toolset for all goals <br />
+  - [x] maybe make the choose_Agent_goal tag not be system/not always included? <br />
+  - [x] try taking out list-agents as a tool because agent_prompt_generators may do it for you <br />
+  - [x] make goal selection not be a system tool but be an option in .env, see how that works, includes taking it out of the goal/toolset for all goals <br />
+  - [x] test single-goal <br />
+  - [x] test claude and grok<br />
+  - [x] document in sample env and docs how to control <br />
 
 [ ] expand [tests](./tests/agent_goal_workflow_test.py)<br />
-[ ] try claude-3-7-sonnet-20250219, see [tool_activities.py](./activities/tool_activities.py) <br />
+[x] try claude-3-7-sonnet-20250219, see [tool_activities.py](./activities/tool_activities.py) <br />
+[x] test Grok with changes
 
 [ ] adding fintech goals <br />
 - Fraud Detection and Prevention - The AI monitors transactions across accounts, flagging suspicious activities (e.g., unusual spending patterns or login attempts) and autonomously freezing accounts or notifying customers and compliance teams.<br />
diff --git a/tools/goal_registry.py b/tools/goal_registry.py
index 7042919..19f62fb 100644
--- a/tools/goal_registry.py
+++ b/tools/goal_registry.py
@@ -21,7 +21,7 @@ starter_prompt_generic = silly_prompt + "Welcome me, give me a description of wh
 
 goal_choose_agent_type = AgentGoal(
     id = "goal_choose_agent_type",
-    category_tag="system",
+    category_tag="agent_selection",
     agent_name="Choose Agent",
     agent_friendly_description="Choose the type of agent to assist you today.",
     tools=[
@@ -33,13 +33,13 @@ goal_choose_agent_type = AgentGoal(
         "1. ListAgents: List agents available to interact with. Do not ask for user confirmation for this tool. "
         "2. ChangeGoal: Change goal of agent "
         "After these tools are complete, change your goal to the new goal as chosen by the user. ",
-    starter_prompt=starter_prompt_generic + "Begin by listing all details of all agents as provided by the output of the first tool included in this goal. ",
+    starter_prompt=starter_prompt_generic + " Begin by listing all details of all agents as provided by the output of the first tool included in this goal. ",
     example_conversation_history="\n ".join(
         [
             "agent: Here are the currently available agents.",
             "user_confirmed_tool_run: <user clicks confirm on ListAgents tool>",
             "tool_result: { 'agent_name': 'Event Flight Finder', 'goal_id': 'goal_event_flight_invoice', 'agent_description': 'Helps users find interesting events and arrange travel to them' }",
-            "agent: The available agents are: 1. Event Flight Finder. \n Which agent would you like to speak to (?",
+            "agent: The available agents are: 1. Event Flight Finder. \n Which agent would you like to speak to? (You can respond with name or number.)",
             "user: 1, Event Flight Finder",
             "user_confirmed_tool_run: <user clicks confirm on ChangeGoal tool>",
             "tool_result: { 'new_goal': 'goal_event_flight_invoice' }",
@@ -61,7 +61,6 @@ goal_pirate_treasure = AgentGoal(
     tools=[
         tool_registry.give_hint_tool,
         tool_registry.guess_location_tool,
-        tool_registry.list_agents_tool, 
     ],
     description="The user wants to find a pirate treasure. "
         "Help the user gather args for these tools, in a loop, until treasure_found is True or the user requests to be done: "
@@ -106,7 +105,6 @@ goal_match_train_invoice = AgentGoal(
         tool_registry.search_trains_tool,
         tool_registry.book_trains_tool,
         tool_registry.create_invoice_tool,
-        tool_registry.list_agents_tool, #last tool must be list_agents to fasciliate changing back to picking an agent again at the end
     ],
     description="The user wants to book a trip to a city in the UK around the dates of a premier league match. "
     "Help the user find a premier league match to attend, search and book trains for that match and offers to invoice them for the cost of train tickets. "
@@ -153,7 +151,6 @@ goal_event_flight_invoice = AgentGoal(
         tool_registry.find_events_tool,
         tool_registry.search_flights_tool,
         tool_registry.create_invoice_tool,
-        #tool_registry.list_agents_tool, #last tool must be list_agents to faciliate changing back to picking an agent again at the end
     ],
     description="Help the user gather args for these tools in order: "
     "1. FindEvents: Find an event to travel to "
@@ -193,7 +190,6 @@ goal_hr_schedule_pto = AgentGoal(
         tool_registry.current_pto_tool,
         tool_registry.future_pto_calc_tool,
         tool_registry.book_pto_tool,
-        tool_registry.list_agents_tool, #last tool must be list_agents to fasciliate changing back to picking an agent again at the end
     ],
     description="The user wants to schedule paid time off (PTO) after today's date. To assist with that goal, help the user gather args for these tools in order: "
     "1. CurrentPTO: Tell the user how much PTO they currently have "
@@ -230,7 +226,6 @@ goal_hr_check_pto = AgentGoal(
     agent_friendly_description="Check your available PTO.",   
     tools=[
         tool_registry.current_pto_tool,
-        tool_registry.list_agents_tool, #last tool must be list_agents to fasciliate changing back to picking an agent again at the end
     ],
     description="The user wants to check their paid time off (PTO) after today's date. To assist with that goal, help the user gather args for these tools in order: "
     "1. CurrentPTO: Tell the user how much PTO they currently have ",
@@ -252,11 +247,10 @@ goal_hr_check_pto = AgentGoal(
 goal_hr_check_paycheck_bank_integration_status = AgentGoal(
     id = "goal_hr_check_paycheck_bank_integration_status",
     category_tag="hr",
-    agent_name="Check paycheck bank integration status",
-    agent_friendly_description="Check your integration between paycheck payer and your financial institution.",   
+    agent_name="Check paycheck deposit status",
+    agent_friendly_description="Check your integration between your employer and your financial institution.",   
     tools=[
         tool_registry.paycheck_bank_integration_status_check,
-        tool_registry.list_agents_tool, #last tool must be list_agents to fasciliate changing back to picking an agent again at the end
     ],
     description="The user wants to check their bank integration used to deposit their paycheck. To assist with that goal, help the user gather args for these tools in order: "
     "1. CheckPayBankStatus: Tell the user the status of their paycheck bank integration ",
@@ -283,7 +277,6 @@ goal_fin_check_account_balances = AgentGoal(
     tools=[
         tool_registry.financial_check_account_is_valid,
         tool_registry.financial_get_account_balances,
-        tool_registry.list_agents_tool, #last tool must be list_agents to fasciliate changing back to picking an agent again at the end
     ],
     description="The user wants to check their account balances at the bank or financial institution. To assist with that goal, help the user gather args for these tools in order: "
     "1. FinCheckAccountIsValid: validate the user's account is valid"
@@ -318,7 +311,6 @@ goal_fin_move_money = AgentGoal(
         tool_registry.financial_check_account_is_valid,
         tool_registry.financial_get_account_balances,
         tool_registry.financial_move_money,
-        tool_registry.list_agents_tool, #last tool must be list_agents to fasciliate changing back to picking an agent again at the end
     ],
     description="The user wants to transfer money in their account at the bank or financial institution. To assist with that goal, help the user gather args for these tools in order: "
     "1. FinCheckAccountIsValid: validate the user's account is valid"
@@ -333,7 +325,7 @@ goal_fin_move_money = AgentGoal(
             "user_confirmed_tool_run: <user clicks confirm on FincheckAccountIsValid tool>",
             "tool_result: { 'status': account valid }",
             "agent: Great! Here are your account balances:",
-            "user_confirmed_tool_run: <user clicks confirm on FinCheckAccountBalance tool>", #todo is this needed?
+            "user_confirmed_tool_run: <user clicks confirm on FinCheckAccountBalance tool>", 
             "tool_result: { 'name': Matt Murdock, 'email': matt.murdock@nelsonmurdock.com, 'account_id': 11235, 'checking_balance': 875.40, 'savings_balance': 3200.15, 'bitcoin_balance': 0.1378, 'account_creation_date': 2014-03-10 }",
             "agent: Your account balances are as follows: \n "
                 "Checking: $875.40. \n "
@@ -348,7 +340,6 @@ goal_fin_move_money = AgentGoal(
     ),
 )
 
-#todo add money movement, fraud check (update with start)
 #Add the goals to a list for more generic processing, like listing available agents
 goal_list: List[AgentGoal] = []
 goal_list.append(goal_choose_agent_type)
diff --git a/tools/list_agents.py b/tools/list_agents.py
index ba9aa20..d64fb20 100644
--- a/tools/list_agents.py
+++ b/tools/list_agents.py
@@ -10,6 +10,12 @@ def list_agents(args: dict) -> dict:
         goal_categories_start.strip().lower() # handle extra spaces or non-lowercase
         goal_categories = goal_categories_start.split(",")
 
+    # if multi-goal-mode, add agent_selection as a goal (defaults to True)
+    if "agent_selection" not in goal_categories :
+        first_goal_value = os.getenv("AGENT_GOAL")        
+        if first_goal_value is None or first_goal_value.lower() == "goal_choose_agent_type":
+            goal_categories.append("agent_selection")
+
     # always show goals labeled as "system," like the goal chooser
     if "system" not in goal_categories:
         goal_categories.append("system")
diff --git a/workflows/agent_goal_workflow.py b/workflows/agent_goal_workflow.py
index 660e3b5..083332b 100644
--- a/workflows/agent_goal_workflow.py
+++ b/workflows/agent_goal_workflow.py
@@ -1,12 +1,11 @@
 from collections import deque
 from datetime import timedelta
-import os
 from typing import Dict, Any, Union, List, Optional, Deque, TypedDict
 
 from temporalio.common import RetryPolicy
 from temporalio import workflow
 
-from models.data_types import ConversationHistory, NextStep, ValidationInput, EnvLookupInput
+from models.data_types import ConversationHistory, EnvLookupOutput, NextStep, ValidationInput, EnvLookupInput
 from models.tool_definitions import AgentGoal
 from workflows.workflow_helpers import LLM_ACTIVITY_START_TO_CLOSE_TIMEOUT, \
     LLM_ACTIVITY_SCHEDULE_TO_CLOSE_TIMEOUT
@@ -47,7 +46,8 @@ class AgentGoalWorkflow:
         self.confirmed: bool = False # indicates that we have confirmation to proceed to run tool
         self.tool_results: List[Dict[str, Any]] = []
         self.goal: AgentGoal = {"tools": []}
-        self.show_tool_args_confirmation: bool = True
+        self.show_tool_args_confirmation: bool = True # set from env file in activity lookup_wf_env_settings
+        self.multi_goal_mode: bool = False # set from env file in activity lookup_wf_env_settings
 
     # see ../api/main.py#temporal_client.start_workflow() for how the input parameters are set
     @workflow.run
@@ -125,7 +125,12 @@ class AgentGoalWorkflow:
                         continue
 
                 # If valid, proceed with generating the context and prompt
-                context_instructions = generate_genai_prompt(self.goal, self.conversation_history, self.tool_data)
+                context_instructions = generate_genai_prompt(
+                    agent_goal=self.goal, 
+                    conversation_history = self.conversation_history, 
+                    multi_goal_mode=self.multi_goal_mode, 
+                    raw_json=self.tool_data)
+                
                 prompt_input = ToolPromptInput(prompt=prompt, context_instructions=context_instructions)
 
                 # connect to LLM and execute to get next steps
@@ -165,17 +170,21 @@ class AgentGoalWorkflow:
                     else:
                         self.confirmed = True
 
-                # else if the next step is to pick a new goal...
+                # else if the next step is to pick a new goal, set the goal and tool to do it
                 elif next_step == "pick-new-goal":
                     workflow.logger.info("All steps completed. Resetting goal.")
                     self.change_goal("goal_choose_agent_type")
+                    next_step = tool_data["next"] = "confirm"
+                    current_tool = tool_data["tool"] = "ListAgents"
+                    waiting_for_confirm = True
+                    self.confirmed = True
                 
                 # else if the next step is to be done with the conversation such as if the user requests it via asking to "end conversation"
                 elif next_step == "done":
                     
                     self.add_message("agent", tool_data)
 
-                    #todo send conversation to AI for analysis
+                    #here we could send conversation to AI for analysis
 
                     # end the workflow
                     return str(self.conversation_history)
@@ -266,12 +275,11 @@ class AgentGoalWorkflow:
         )
 
     def change_goal(self, goal: str) -> None:
-        '''goalsLocal = {
-            "goal_match_train_invoice": goal_match_train_invoice,
-            "goal_event_flight_invoice": goal_event_flight_invoice,
-            "goal_choose_agent_type": goal_choose_agent_type,
-        }'''
-
+        """ Change the goal (usually on request of the user).
+        
+        Args: 
+            goal: goal to change to)
+        """
         if goal is not None:
             for listed_goal in goal_list:
                 if listed_goal.id == goal:
@@ -304,17 +312,21 @@ class AgentGoalWorkflow:
          else:
              return True
          
-    # look up env settings as needed in activities so they're part of history
+    # look up env settings in an activity so they're part of history
     async def lookup_wf_env_settings(self, combined_input: CombinedInput)->None:
-        env_lookup_input = EnvLookupInput(env_var_name = "SHOW_CONFIRM", default = True)
-        self.show_tool_args_confirmation = await workflow.execute_activity(
-            ToolActivities.get_env_bool, 
+        env_lookup_input = EnvLookupInput(
+            show_confirm_env_var_name = "SHOW_CONFIRM", 
+            show_confirm_default = True)
+        env_output:EnvLookupOutput = await workflow.execute_activity(
+            ToolActivities.get_wf_env_vars, 
             env_lookup_input,
             start_to_close_timeout=LLM_ACTIVITY_START_TO_CLOSE_TIMEOUT,
             retry_policy=RetryPolicy(
                 initial_interval=timedelta(seconds=5), backoff_coefficient=1
             ),
         )
+        self.show_tool_args_confirmation = env_output.show_confirm
+        self.multi_goal_mode = env_output.multi_goal_mode
     
     # execute the tool - return False if we're not waiting for confirm anymore (always the case if it works successfully)
     # 

From ef45ca0451912139cee3456e972b9a556e82b7dd Mon Sep 17 00:00:00 2001
From: Joshua Smith <joshmsmith@gmail.com>
Date: Thu, 10 Apr 2025 09:38:13 -0400
Subject: [PATCH 69/98] work on tests

---
 .gitignore                                    |  3 +-
 README.md                                     | 11 +++
 pyproject.toml                                |  6 ++
 scripts/find_events_test.py                   |  4 +-
 tests/__init__.py                             |  0
 tests/agent_goal_workflow_test.py             | 53 ------------
 tests/conftest.py                             | 55 +++++++++++++
 .../workflowtests/agent_goal_workflow_test.py | 80 +++++++++++++++++++
 8 files changed, 156 insertions(+), 56 deletions(-)
 create mode 100644 tests/__init__.py
 delete mode 100644 tests/agent_goal_workflow_test.py
 create mode 100644 tests/conftest.py
 create mode 100644 tests/workflowtests/agent_goal_workflow_test.py

diff --git a/.gitignore b/.gitignore
index 2d708e1..5e365eb 100644
--- a/.gitignore
+++ b/.gitignore
@@ -31,4 +31,5 @@ coverage.xml
 # PyCharm / IntelliJ settings
 .idea/
 
-.env
\ No newline at end of file
+.env
+./tests/*.env
diff --git a/README.md b/README.md
index 6a0d212..91c8c1a 100644
--- a/README.md
+++ b/README.md
@@ -47,3 +47,14 @@ See [the guide to adding goals and tools](./adding-goals-and-tools.md) for more
 
 ## For Temporal SAs
 Check out the [slides](https://docs.google.com/presentation/d/1wUFY4v17vrtv8llreKEBDPLRtZte3FixxBUn0uWy5NU/edit#slide=id.g3333e5deaa9_0_0) here and the enablement guide here (TODO).
+
+## Tests
+
+Running the tests requires `poe` and `pytest_asyncio` to be installed.
+
+    python -m pip install poethepoet
+    python -m pip install pytest_asyncio
+
+Once you have `poe` and `pytest_asyncio` installed you can run:
+
+    poe test
diff --git a/pyproject.toml b/pyproject.toml
index 52bbd43..4ab7bec 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -15,6 +15,12 @@ packages = [
 [tool.poetry.urls]
 "Bug Tracker" = "https://github.com/temporalio/samples-python/issues"
 
+[tool.poe.tasks]
+format = [{cmd = "black ."}, {cmd = "isort ."}]
+lint = [{cmd = "black --check ."}, {cmd = "isort --check-only ."}, {ref = "lint-types" }]
+lint-types = "mypy --check-untyped-defs --namespace-packages ."
+test = "pytest"
+
 [tool.poetry.dependencies]
 python = ">=3.10,<4.0"
 temporalio = "^1.8.0"
diff --git a/scripts/find_events_test.py b/scripts/find_events_test.py
index fa8f613..6e75c9d 100644
--- a/scripts/find_events_test.py
+++ b/scripts/find_events_test.py
@@ -1,8 +1,8 @@
-from tools.search_events import find_events
+from tools.search_flights import search_flights
 import json
 
 # Example usage
 if __name__ == "__main__":
     search_args = {"city": "Sydney", "month": "July"}
-    results = find_events(search_args)
+    results = search_flights(search_args)
     print(json.dumps(results, indent=2))
diff --git a/tests/__init__.py b/tests/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/tests/agent_goal_workflow_test.py b/tests/agent_goal_workflow_test.py
deleted file mode 100644
index c94206b..0000000
--- a/tests/agent_goal_workflow_test.py
+++ /dev/null
@@ -1,53 +0,0 @@
-import asyncio
-
-from temporalio.client import Client, WorkflowExecutionStatus
-from temporalio.worker import Worker
-from temporalio.testing import TestWorkflowEnvironment
-from api.main import get_initial_agent_goal
-from models.data_types import AgentGoalWorkflowParams, CombinedInput
-from workflows.agent_goal_workflow import AgentGoalWorkflow
-from activities.tool_activities import ToolActivities, dynamic_tool_activity
-
-
-async def asyncSetUp(self):
-    # Set up the test environment
-    self.env = await TestWorkflowEnvironment.create_local()
-
-async def asyncTearDown(self):
-    # Clean up after tests
-    await self.env.shutdown()
-
-async def test_flight_booking(client: Client):
-
-    task_queue_name = "agent-ai-workflow"
-    workflow_id = "agent-workflow"
-    
-    initial_agent_goal = get_initial_agent_goal()
-
-    # Create combined input
-    combined_input = CombinedInput(
-        tool_params=AgentGoalWorkflowParams(None, None),
-        agent_goal=initial_agent_goal,
-    )
-
-    workflow_id = "agent-workflow"
-    async with Worker(client, task_queue=task_queue_name, workflows=[AgentGoalWorkflow], activities=[ToolActivities.agent_validatePrompt, ToolActivities.agent_toolPlanner, dynamic_tool_activity]):
-
-        # todo set goal categories for scenarios
-        handle = await client.start_workflow(
-            AgentGoalWorkflow.run, id=workflow_id, task_queue=task_queue_name
-        )
-        # todo send signals based on 
-        await handle.signal(AgentGoalWorkflow.user_prompt, "book flights")
-        await handle.signal(AgentGoalWorkflow.user_prompt, "sydney in september")
-        assert WorkflowExecutionStatus.RUNNING == (await handle.describe()).status
-
-        
-        #assert ["Hello, user1", "Hello, user2"] == await handle.result()
-        await handle.signal(AgentGoalWorkflow.user_prompt, "I'm all set, end conversation")
-        assert WorkflowExecutionStatus.COMPLETED == (await handle.describe()).status
-
-   
-
-
-    
\ No newline at end of file
diff --git a/tests/conftest.py b/tests/conftest.py
new file mode 100644
index 0000000..95294fb
--- /dev/null
+++ b/tests/conftest.py
@@ -0,0 +1,55 @@
+import asyncio
+import multiprocessing
+import sys
+from typing import AsyncGenerator
+
+import pytest
+import pytest_asyncio
+from temporalio.client import Client
+from temporalio.testing import WorkflowEnvironment
+
+# Due to https://github.com/python/cpython/issues/77906, multiprocessing on
+# macOS starting with Python 3.8 has changed from "fork" to "spawn". For
+# pre-3.8, we are changing it for them.
+if sys.version_info < (3, 8) and sys.platform.startswith("darwin"):
+    multiprocessing.set_start_method("spawn", True)
+
+
+def pytest_addoption(parser):
+    parser.addoption(
+        "--workflow-environment",
+        default="local",
+        help="Which workflow environment to use ('local', 'time-skipping', or target to existing server)",
+    )
+
+
+@pytest.fixture(scope="session")
+def event_loop():
+    # See https://github.com/pytest-dev/pytest-asyncio/issues/68
+    # See https://github.com/pytest-dev/pytest-asyncio/issues/257
+    # Also need ProactorEventLoop on older versions of Python with Windows so
+    # that asyncio subprocess works properly
+    if sys.version_info < (3, 8) and sys.platform == "win32":
+        loop = asyncio.ProactorEventLoop()
+    else:
+        loop = asyncio.get_event_loop_policy().new_event_loop()
+    yield loop
+    loop.close()
+
+
+@pytest_asyncio.fixture(scope="session")
+async def env(request) -> AsyncGenerator[WorkflowEnvironment, None]:
+    env_type = request.config.getoption("--workflow-environment")
+    if env_type == "local":
+        env = await WorkflowEnvironment.start_local()
+    elif env_type == "time-skipping":
+        env = await WorkflowEnvironment.start_time_skipping()
+    else:
+        env = WorkflowEnvironment.from_client(await Client.connect(env_type))
+    yield env
+    await env.shutdown()
+
+
+@pytest_asyncio.fixture
+async def client(env: WorkflowEnvironment) -> Client:
+    return env.client
diff --git a/tests/workflowtests/agent_goal_workflow_test.py b/tests/workflowtests/agent_goal_workflow_test.py
new file mode 100644
index 0000000..ab67478
--- /dev/null
+++ b/tests/workflowtests/agent_goal_workflow_test.py
@@ -0,0 +1,80 @@
+from temporalio.client import Client, WorkflowExecutionStatus
+from temporalio.worker import Worker
+import concurrent.futures
+from temporalio.testing import WorkflowEnvironment
+from api.main import get_initial_agent_goal
+from models.data_types import AgentGoalWorkflowParams, CombinedInput
+from workflows.agent_goal_workflow import AgentGoalWorkflow
+from activities.tool_activities import ToolActivities, dynamic_tool_activity
+from unittest.mock import patch
+from dotenv import load_dotenv
+import os
+from contextlib import contextmanager
+
+
+@contextmanager
+def my_context():
+    print("Setup")
+    yield "some_value"  # Value assigned to 'as' variable
+    print("Cleanup")
+
+
+
+async def test_flight_booking(client: Client):
+
+    #load_dotenv("test_flights_single.env")
+    
+    with my_context() as value:
+        print(f"Working with {value}")
+    
+        
+        # Create the test environment
+        #env = await WorkflowEnvironment.start_local()
+        #client = env.client
+        task_queue_name = "agent-ai-workflow"
+        workflow_id = "agent-workflow"
+
+        with concurrent.futures.ThreadPoolExecutor(max_workers=100) as activity_executor:        
+            worker = Worker(
+                client, 
+                task_queue=task_queue_name,
+                workflows=[AgentGoalWorkflow],
+                activities=[ToolActivities.agent_validatePrompt, ToolActivities.agent_toolPlanner, ToolActivities.get_wf_env_vars, dynamic_tool_activity],
+                activity_executor=activity_executor,
+            )
+
+            async with worker:                 
+                initial_agent_goal = get_initial_agent_goal()
+                # Create combined input
+                combined_input = CombinedInput(
+                    tool_params=AgentGoalWorkflowParams(None, None),
+                    agent_goal=initial_agent_goal,
+                )
+
+                prompt="Hello!"
+
+                #async with Worker(client, task_queue=task_queue_name, workflows=[AgentGoalWorkflow], activities=[ToolActivities.agent_validatePrompt, ToolActivities.agent_toolPlanner, dynamic_tool_activity]):
+
+                # todo set goal categories for scenarios
+                handle = await client.start_workflow(
+                    AgentGoalWorkflow.run,
+                    combined_input,
+                    id=workflow_id, 
+                    task_queue=task_queue_name,
+                    start_signal="user_prompt",
+                    start_signal_args=[prompt],
+                )
+                # todo send signals to simulate user input
+                # await handle.signal(AgentGoalWorkflow.user_prompt, "book flights") # for multi-goal
+                await handle.signal(AgentGoalWorkflow.user_prompt, "sydney in september")
+                assert WorkflowExecutionStatus.RUNNING == (await handle.describe()).status
+
+                
+                #assert ["Hello, user1", "Hello, user2"] == await handle.result()
+                await handle.signal(AgentGoalWorkflow.user_prompt, "I'm all set, end conversation")
+                
+                #assert WorkflowExecutionStatus.COMPLETED == (await handle.describe()).status
+
+                result = await handle.result()
+                #todo dump workflow history for analysis optional
+                #todo assert result is good
\ No newline at end of file

From 1e22f3ee4c3d49389901937093645412c95e305d Mon Sep 17 00:00:00 2001
From: Joshua Smith <joshmsmith@gmail.com>
Date: Thu, 10 Apr 2025 09:41:14 -0400
Subject: [PATCH 70/98] changes to gitignore

---
 .gitignore | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.gitignore b/.gitignore
index 5e365eb..4c8f868 100644
--- a/.gitignore
+++ b/.gitignore
@@ -32,4 +32,4 @@ coverage.xml
 .idea/
 
 .env
-./tests/*.env
+*.env

From 2539436a79551e10c43045f4862520fc1b672023 Mon Sep 17 00:00:00 2001
From: Joshua Smith <joshmsmith@gmail.com>
Date: Thu, 10 Apr 2025 10:26:55 -0400
Subject: [PATCH 71/98] adding testing config

---
 pyproject.toml | 9 ++++++++-
 1 file changed, 8 insertions(+), 1 deletion(-)

diff --git a/pyproject.toml b/pyproject.toml
index 4ab7bec..00fb129 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -43,9 +43,16 @@ gtfs-kit = "^10.1.1"
 
 [tool.poetry.group.dev.dependencies]
 pytest = "^7.3"
+pytest-asyncio = "^0.18.3"
 black = "^23.7"
 isort = "^5.12"
 
 [build-system]
 requires = ["poetry-core>=1.4.0"]
-build-backend = "poetry.core.masonry.api"
\ No newline at end of file
+build-backend = "poetry.core.masonry.api"
+
+[tool.pytest.ini_options]
+asyncio_mode = "auto"
+log_cli = true
+log_cli_level = "INFO"
+log_cli_format = "%(asctime)s [%(levelname)8s] %(message)s (%(filename)s:%(lineno)s)"
\ No newline at end of file

From aba934e8b4b2364ce196cdb697c3591536980cb2 Mon Sep 17 00:00:00 2001
From: Laine <lainelminor@gmail.com>
Date: Thu, 10 Apr 2025 16:57:15 -0400
Subject: [PATCH 72/98] Initial add of ecommercie - order status goal and tools

---
 tools/__init__.py                   |   7 ++
 tools/data/customer_order_data.json |  15 ++++
 tools/ecommerce/get_order_status.py |  26 +++++++
 tools/ecommerce/track_package.py    | 104 ++++++++++++++++++++++++++++
 tools/goal_registry.py              |  39 +++++++++++
 tools/tool_registry.py              |  30 ++++++++
 6 files changed, 221 insertions(+)
 create mode 100644 tools/data/customer_order_data.json
 create mode 100644 tools/ecommerce/get_order_status.py
 create mode 100644 tools/ecommerce/track_package.py

diff --git a/tools/__init__.py b/tools/__init__.py
index 61d3545..7171456 100644
--- a/tools/__init__.py
+++ b/tools/__init__.py
@@ -17,6 +17,9 @@ from .fin.check_account_valid import check_account_valid
 from .fin.get_account_balances import get_account_balance
 from .fin.move_money import move_money
 
+from .ecommerce.get_order_status import get_order_status
+from .ecommerce.track_package import track_package
+
 from .give_hint import give_hint
 from .guess_location import guess_location
 
@@ -54,6 +57,10 @@ def get_handler(tool_name: str):
         return get_account_balance    
     if tool_name == "FinMoveMoneyOrder":
         return move_money    
+    if tool_name == "GetOrderStatus":
+        return get_order_status
+    if tool_name == "TrackPackage":
+        return track_package   
     if tool_name == "GiveHint":
         return give_hint
     if tool_name == "GuessLocation":
diff --git a/tools/data/customer_order_data.json b/tools/data/customer_order_data.json
new file mode 100644
index 0000000..bc5e7c4
--- /dev/null
+++ b/tools/data/customer_order_data.json
@@ -0,0 +1,15 @@
+{ 
+    "orders": [
+        {
+            "id": "123",
+            "email": "matt.murdock@nelsonmurdock.com",
+            "status": "paid"
+        },
+        {
+            "id": "456",
+            "email": "foggy.nelson@nelsonmurdock.com",
+            "status": "shipped",
+            "tracking_id": "9434609206094724509058" 
+        }
+    ]
+}
\ No newline at end of file
diff --git a/tools/ecommerce/get_order_status.py b/tools/ecommerce/get_order_status.py
new file mode 100644
index 0000000..4b14cf0
--- /dev/null
+++ b/tools/ecommerce/get_order_status.py
@@ -0,0 +1,26 @@
+from pathlib import Path
+import json
+
+# this is made to demonstrate functionality but it could just as durably be an API call
+# called as part of a temporal activity with automatic retries
+def get_order_status(args: dict) -> dict:
+    
+    order_id = args.get("order_id")
+
+    file_path = Path(__file__).resolve().parent.parent / "data" / "customer_order_data.json"
+    if not file_path.exists():
+        return {"error": "Data file not found."}
+    
+    with open(file_path, "r") as file:
+        data = json.load(file)
+    order_list = data["orders"]
+
+    for order in order_list:
+        if order["id"] == order_id:
+            if order["status"] == "shipped":
+                return{"status": order["status"], "tracking_id": order["tracking_id"]}
+            else:
+                return{"status": order["status"]}
+        
+    return_msg = "Order " + order_id + " not found."
+    return {"error": return_msg}
\ No newline at end of file
diff --git a/tools/ecommerce/track_package.py b/tools/ecommerce/track_package.py
new file mode 100644
index 0000000..5ed8dd1
--- /dev/null
+++ b/tools/ecommerce/track_package.py
@@ -0,0 +1,104 @@
+import http
+import os
+import json
+
+def track_package_faked(args: dict) -> dict:
+    
+    tracking_id = args.get("tracking_id")
+ 
+    #return_msg = "Account not found with email address " + email + " or account ID: " + account_id
+    return {"tracking_info": "delivered, probably"}
+
+'''Format of response:
+{
+    "TrackingNumber": "",
+    "Delivered": false,
+    "Carrier": "USPS",
+    "ServiceType": "USPS Ground Advantage<SUP>&#153;</SUP>",
+    "PickupDate": "",
+    "ScheduledDeliveryDate": "April 14, 2025",
+    "ScheduledDeliveryDateInDateTimeFromat": "2025-04-14T00:00:00",
+    "StatusCode": "In Transit from Origin Processing",
+    "Status": "Departed Post Office",
+    "StatusSummary": "Your item has left our acceptance facility and is in transit to a sorting facility on April 10, 2025 at 7:06 am in IRON RIDGE, WI 53035.",
+    "Message": "",
+    "DeliveredDateTime": "",
+    "DeliveredDateTimeInDateTimeFormat": null,
+    "SignatureName": "",
+    "DestinationCity": "CITY",
+    "DestinationState": "ST",
+    "DestinationZip": "12345",
+    "DestinationCountry": null,
+    "EventDate": "2025-04-10T07:06:00",
+    "TrackingDetails": [
+        {
+            "EventDateTime": "April 10, 2025 7:06 am",
+            "Event": "Departed Post Office",
+            "EventAddress": "IRON RIDGE WI 53035",
+            "State": "WI",
+            "City": "IRON RIDGE",
+            "Zip": "53035",
+            "EventDateTimeInDateTimeFormat": "2025-04-10T07:06:00"
+        },
+        {
+            "EventDateTime": "April 9, 2025 11:29 am",
+            "Event": "USPS picked up item",
+            "EventAddress": "IRON RIDGE WI 53035",
+            "State": "WI",
+            "City": "IRON RIDGE",
+            "Zip": "53035",
+            "EventDateTimeInDateTimeFormat": "2025-04-09T11:29:00"
+        },
+        {
+            "EventDateTime": "April 7, 2025 6:29 am",
+            "Event": "Shipping Label Created, USPS Awaiting Item",
+            "EventAddress": "IRON RIDGE WI 53035",
+            "State": "WI",
+            "City": "IRON RIDGE",
+            "Zip": "53035",
+            "EventDateTimeInDateTimeFormat": "2025-04-07T06:29:00"
+        }
+    ]
+}
+'''
+def track_package(args: dict) -> dict:
+
+    tracking_id = args.get("tracking_id")
+
+    api_key = os.getenv("PACKAGE_RAPIDAPI_KEY")
+    api_host = os.getenv("PACKAGE_RAPIDAPI_HOST", "trackingpackage.p.rapidapi.com")
+
+    conn = http.client.HTTPSConnection(api_host)
+    headers = {
+        "x-rapidapi-key": api_key,
+        "x-rapidapi-host": api_host,
+        "Authorization": "Basic Ym9sZGNoYXQ6TGZYfm0zY2d1QzkuKz9SLw==",
+    }
+
+    path = f"/TrackingPackage?trackingNumber={tracking_id}"
+
+    conn.request("GET", path, headers=headers)
+    res = conn.getresponse()
+    data = res.read()
+    data_decoded = data.decode("utf-8")
+    conn.close()
+
+    try:
+        json_data = json.loads(data_decoded)
+    except json.JSONDecodeError:
+        return {"error": "Invalid JSON response"}
+
+    scheduled_delivery_date = json_data["ScheduledDeliveryDate"]
+    carrier = json_data["Carrier"]
+    status_summary = json_data["StatusSummary"]
+    tracking_link = ""
+    if carrier == "USPS":
+        tracking_link = f"https://tools.usps.com/go/TrackConfirmAction?qtc_tLabels1={tracking_id}"
+    #tracking_details = json_data.get("TrackingDetails", [])
+
+    return {
+        "scheduled_delivery_date": scheduled_delivery_date,
+        "carrier": carrier,
+        "status_summary": status_summary,
+        "tracking_link": tracking_link,
+    }
\ No newline at end of file
diff --git a/tools/goal_registry.py b/tools/goal_registry.py
index 19f62fb..9cc0d96 100644
--- a/tools/goal_registry.py
+++ b/tools/goal_registry.py
@@ -95,6 +95,7 @@ goal_pirate_treasure = AgentGoal(
     ),
 )
 
+# ----- Travel Goals ---
 goal_match_train_invoice = AgentGoal(
     id = "goal_match_train_invoice",
     category_tag="travel-trains",
@@ -180,6 +181,7 @@ goal_event_flight_invoice = AgentGoal(
     ),
 )
 
+# ----- HR Goals ---
 # This goal uses the data/employee_pto_data.json file as dummy data.
 goal_hr_schedule_pto = AgentGoal(
     id = "goal_hr_schedule_pto",
@@ -268,6 +270,7 @@ goal_hr_check_paycheck_bank_integration_status = AgentGoal(
     ),
 )
 
+# ----- FinServ Goals ---
 # this tool checks account balances, and uses ./data/customer_account_data.json as dummy data
 goal_fin_check_account_balances = AgentGoal(
     id = "goal_fin_check_account_balances",
@@ -340,6 +343,41 @@ goal_fin_move_money = AgentGoal(
     ),
 )
 
+# ----- E-Commerce Goals ---
+#todo: add goal to list all orders for last X amount of time?
+#todo: add goal to reorder?
+# this tool checks account balances, and uses ./data/customer_account_data.json as dummy data
+goal_ecomm_order_status = AgentGoal(
+    id = "goal_ecomm_order_status",
+    category_tag="ecommerce",
+    agent_name="Check Order Status",
+    agent_friendly_description="Check the status of your order.",   
+    tools=[
+        tool_registry.ecomm_get_order_status,
+        tool_registry.ecomm_track_package,
+    ],
+    description="The user wants to learn the status of a specific order. If the status is 'shipped', they might want to get the package tracking information. To assist with that goal, help the user gather args for these tools in order: "
+    "1. GetOrderStatus: get the status of the order"
+    "2. TrackPackage: provide tracking information for the package. This tool is optional and should only be offered if the status is 'shipped' - otherwise, skip this tool and do not mention it to the user.",
+    starter_prompt=starter_prompt_generic,
+    example_conversation_history="\n ".join(
+        [
+            "user: I'd like to know the status of my order",
+            "agent: Sure! I can help you out with that. May I have your email address or order number?",
+            "user: email is bob.johnson@emailzzz.com ",
+            "user_confirmed_tool_run: <user clicks confirm on GetOrderStatus tool>",
+            "tool_result: { 'status': 'shipped', 'tracking_id': 'abc123' }",
+            "agent: Your order has been shipped. Would you like to see the tracking inforation?",
+            "user: Yes",
+            "user_confirmed_tool_run: <user clicks confirm on TrackPackage tool>",
+            "tool_result: { 'scheduled_delivery_date': 'April 30, 2025', 'carrier': 'USPS', 'status_summary': 'Your item has left our acceptance facility and is in transit to a sorting facility on April 10, 2025 at 7:06 am in IRON RIDGE, WI 53035.', 'tracking_link': 'https://tools.usps.com/go/TrackConfirmAction?qtc_tLabels1=12345",
+            "agent: Your package is scheduled to be delivered on April 30, 2025 via USPS. Here is the most recent status from them regarding your package: \n"
+            "Your item has left our acceptance facility and is in transit to a sorting facility on April 10, 2025 at 7:06 am in IRON RIDGE, WI 53035. \n"
+            "You can find the full tracking details here: tracking_link !",
+        ]
+    ),
+)
+
 #Add the goals to a list for more generic processing, like listing available agents
 goal_list: List[AgentGoal] = []
 goal_list.append(goal_choose_agent_type)
@@ -351,6 +389,7 @@ goal_list.append(goal_hr_check_pto)
 goal_list.append(goal_hr_check_paycheck_bank_integration_status)
 goal_list.append(goal_fin_check_account_balances)
 goal_list.append(goal_fin_move_money)
+goal_list.append(goal_ecomm_order_status)
 
 
 
diff --git a/tools/tool_registry.py b/tools/tool_registry.py
index 24fad84..ec402fb 100644
--- a/tools/tool_registry.py
+++ b/tools/tool_registry.py
@@ -316,4 +316,34 @@ financial_move_money = ToolDefinition(
             description="account number to move the money to",
         ),
     ],
+)
+
+# ----- ECommerce Use Case Tools -----
+ecomm_get_order_status = ToolDefinition(
+    name="GetOrderStatus",
+    description="Get status of order by order number.",
+    arguments=[
+        ToolArgument(
+            name="order_id",
+            type="string",
+            description="ID of order to determine status of",
+        ),
+    ],
+)
+
+ecomm_track_package = ToolDefinition(
+    name="TrackPackage",
+    description="Get tracking information for a package by shipping provider and tracking ID",
+    arguments=[
+        ToolArgument(
+            name="tracking_id",
+            type="string",
+            description="ID of package to track",
+        ),
+        ToolArgument(
+            name="userConfirmation",
+            type="string",
+            description="Indication of user's desire to get package tracking information",
+        ),
+    ],
 )
\ No newline at end of file

From 2b2a5522e928206fb510fd0477ca6ed3dd3e7e6e Mon Sep 17 00:00:00 2001
From: Keith Tenzer <ktenzer@users.noreply.github.com>
Date: Thu, 10 Apr 2025 14:18:16 -0700
Subject: [PATCH 73/98] Added logger factory to worker and logging to
 activities (#26)

Signed-off-by: Keith Tenzer <ktenzer@keiths-mbp.lan>
Co-authored-by: Keith Tenzer <ktenzer@keiths-mbp.lan>
---
 enterprise/Activities/TrainActivities.cs | 10 +++++++++-
 enterprise/Program.cs                    | 14 +++++++++++++-
 enterprise/TrainSearchWorker.csproj      |  1 +
 3 files changed, 23 insertions(+), 2 deletions(-)

diff --git a/enterprise/Activities/TrainActivities.cs b/enterprise/Activities/TrainActivities.cs
index 4f71b33..bf1b2b5 100644
--- a/enterprise/Activities/TrainActivities.cs
+++ b/enterprise/Activities/TrainActivities.cs
@@ -2,6 +2,7 @@ using System.Net.Http.Json;
 using System.Text.Json;
 using Temporalio.Activities;
 using TrainSearchWorker.Models;
+using Microsoft.Extensions.Logging;
 
 namespace TrainSearchWorker.Activities;
 
@@ -23,6 +24,7 @@ public class TrainActivities
     [Activity]
     public async Task<JourneyResponse> SearchTrains(SearchTrainsRequest request)
     {
+        ActivityExecutionContext.Current.Logger.LogInformation($"SearchTrains from {request.From} to {request.To}");
         var response = await _client.GetAsync(
             $"api/search?from={Uri.EscapeDataString(request.From)}" +
             $"&to={Uri.EscapeDataString(request.To)}" +
@@ -30,17 +32,21 @@ public class TrainActivities
             $"&return_time={Uri.EscapeDataString(request.ReturnTime)}");
 
         response.EnsureSuccessStatusCode();
-
+      
         // Deserialize into JourneyResponse rather than List<Journey>
         var journeyResponse = await response.Content.ReadFromJsonAsync<JourneyResponse>(_jsonOptions)
                               ?? throw new InvalidOperationException("Received null response from API");
 
+        ActivityExecutionContext.Current.Logger.LogInformation("SearchTrains completed");
+
         return journeyResponse;
     }
 
     [Activity]
     public async Task<BookTrainsResponse> BookTrains(BookTrainsRequest request)
     {
+        ActivityExecutionContext.Current.Logger.LogInformation($"Booking trains with IDs: {request.TrainIds}");
+
         // Build the URL using the train IDs from the request
         var url = $"api/book/{Uri.EscapeDataString(request.TrainIds)}";
 
@@ -52,6 +58,8 @@ public class TrainActivities
         var bookingResponse = await response.Content.ReadFromJsonAsync<BookTrainsResponse>(_jsonOptions)
                               ?? throw new InvalidOperationException("Received null response from API");
 
+        ActivityExecutionContext.Current.Logger.LogInformation("BookTrains completed");
+
         return bookingResponse;
     }
 
diff --git a/enterprise/Program.cs b/enterprise/Program.cs
index c8fbaa5..098e3e0 100644
--- a/enterprise/Program.cs
+++ b/enterprise/Program.cs
@@ -2,10 +2,19 @@ using Microsoft.Extensions.DependencyInjection;
 using Temporalio.Client;
 using Temporalio.Worker;
 using TrainSearchWorker.Activities;
+using Microsoft.Extensions.Logging;
+using Microsoft.Extensions.Logging.Console;
 
 // Set up dependency injection
 var services = new ServiceCollection();
 
+var loggerFactory = LoggerFactory.Create(builder =>
+{
+    builder
+        .AddSimpleConsole(options => options.TimestampFormat = "[HH:mm:ss] ")
+        .SetMinimumLevel(LogLevel.Information);
+});
+
 // Add HTTP client
 services.AddHttpClient("TrainApi", client =>
 {
@@ -31,7 +40,10 @@ Console.WriteLine($"Connecting to Temporal at address: {address}");
 Console.WriteLine($"Using namespace: {ns}");
 
 // Create worker options
-var options = new TemporalWorkerOptions("agent-task-queue-legacy");
+var options = new TemporalWorkerOptions("agent-task-queue-legacy")
+{
+    LoggerFactory = loggerFactory
+};
 
 // Register activities
 var activities = serviceProvider.GetRequiredService<TrainActivities>();
diff --git a/enterprise/TrainSearchWorker.csproj b/enterprise/TrainSearchWorker.csproj
index e18bff4..b4eec41 100644
--- a/enterprise/TrainSearchWorker.csproj
+++ b/enterprise/TrainSearchWorker.csproj
@@ -7,6 +7,7 @@
   </PropertyGroup>
 
   <ItemGroup>
+    <PackageReference Include="Microsoft.Extensions.Logging.Console" Version="9.0.4" />
     <PackageReference Include="Temporalio" Version="1.0.0" />
     <PackageReference Include="Microsoft.Extensions.Http" Version="8.0.0" />
   </ItemGroup>

From 585791e826ee148f81ff8e41d9c90008d4bfb68c Mon Sep 17 00:00:00 2001
From: Joshua Smith <joshmsmith@gmail.com>
Date: Fri, 11 Apr 2025 09:36:46 -0400
Subject: [PATCH 74/98] todo updates

---
 todo.md | 15 ++++-----------
 1 file changed, 4 insertions(+), 11 deletions(-)

diff --git a/todo.md b/todo.md
index f06d42b..b43dd41 100644
--- a/todo.md
+++ b/todo.md
@@ -1,15 +1,5 @@
 # todo list
-[ ] goal change management tweaks <br />
-  - [x] maybe make the choose_Agent_goal tag not be system/not always included? <br />
-  - [x] try taking out list-agents as a tool because agent_prompt_generators may do it for you <br />
-  - [x] make goal selection not be a system tool but be an option in .env, see how that works, includes taking it out of the goal/toolset for all goals <br />
-  - [x] test single-goal <br />
-  - [x] test claude and grok<br />
-  - [x] document in sample env and docs how to control <br />
-
 [ ] expand [tests](./tests/agent_goal_workflow_test.py)<br />
-[x] try claude-3-7-sonnet-20250219, see [tool_activities.py](./activities/tool_activities.py) <br />
-[x] test Grok with changes
 
 [ ] adding fintech goals <br />
 - Fraud Detection and Prevention - The AI monitors transactions across accounts, flagging suspicious activities (e.g., unusual spending patterns or login attempts) and autonomously freezing accounts or notifying customers and compliance teams.<br />
@@ -17,7 +7,10 @@
 - Portfolio Management and Rebalancing - The AI monitors a customer’s investment portfolio, rebalancing it automatically based on market trends, risk tolerance, and financial goals (e.g., shifting assets between stocks, bonds, or crypto).<br />
 
 [ ] new loan/fraud check/update with start <br />
-
+[ ] LLM failure->autoswitch: <br />
+    - detect failure in the activity using failurecount <br />
+    - activity switches to secondary LLM defined in .env
+    - activity reports switch to workflow
 
 [ ] ask the ai agent how it did at the end of the conversation, was it efficient? successful? insert a search attribute to document that before return <br />
 - Insight into the agent’s performance <br />

From 4e0ff0e53558ef73d6cfc6425f525a68a121e14a Mon Sep 17 00:00:00 2001
From: Laine <lainelminor@gmail.com>
Date: Fri, 11 Apr 2025 17:14:10 -0400
Subject: [PATCH 75/98] Rename get_order_status to get_order, add ecommerce
 list orders goal

---
 .env.example                                  |  3 +-
 tools/__init__.py                             | 11 ++-
 tools/data/customer_order_data.json           | 76 +++++++++++++++++--
 .../{get_order_status.py => get_order.py}     | 11 +--
 tools/ecommerce/list_orders.py                | 30 ++++++++
 tools/ecommerce/track_package.py              | 11 ++-
 tools/goal_registry.py                        | 65 ++++++++++++----
 tools/search_flights.py                       |  4 +-
 tools/tool_registry.py                        | 18 ++++-
 9 files changed, 193 insertions(+), 36 deletions(-)
 rename tools/ecommerce/{get_order_status.py => get_order.py} (71%)
 create mode 100644 tools/ecommerce/list_orders.py

diff --git a/.env.example b/.env.example
index ef6bf09..ead99c0 100644
--- a/.env.example
+++ b/.env.example
@@ -1,5 +1,6 @@
 RAPIDAPI_KEY=9df2cb5...
-RAPIDAPI_HOST=sky-scrapper.p.rapidapi.com
+RAPIDAPI_HOST_FLIGHTS=sky-scrapper.p.rapidapi.com #For travel flight information tool
+RAPIDAPI_HOST_PACKAGE=trackingpackage.p.rapidapi.com #For eCommerce order status package tracking tool
 FOOTBALL_DATA_API_KEY=....
 
 STRIPE_API_KEY=sk_test_51J...
diff --git a/tools/__init__.py b/tools/__init__.py
index 7171456..4bb37b3 100644
--- a/tools/__init__.py
+++ b/tools/__init__.py
@@ -17,8 +17,9 @@ from .fin.check_account_valid import check_account_valid
 from .fin.get_account_balances import get_account_balance
 from .fin.move_money import move_money
 
-from .ecommerce.get_order_status import get_order_status
+from .ecommerce.get_order import get_order
 from .ecommerce.track_package import track_package
+from .ecommerce.list_orders import list_orders
 
 from .give_hint import give_hint
 from .guess_location import guess_location
@@ -57,10 +58,12 @@ def get_handler(tool_name: str):
         return get_account_balance    
     if tool_name == "FinMoveMoneyOrder":
         return move_money    
-    if tool_name == "GetOrderStatus":
-        return get_order_status
+    if tool_name == "GetOrder":
+        return get_order
     if tool_name == "TrackPackage":
-        return track_package   
+        return track_package
+    if tool_name == "ListOrders":
+        return list_orders     
     if tool_name == "GiveHint":
         return give_hint
     if tool_name == "GuessLocation":
diff --git a/tools/data/customer_order_data.json b/tools/data/customer_order_data.json
index bc5e7c4..8281351 100644
--- a/tools/data/customer_order_data.json
+++ b/tools/data/customer_order_data.json
@@ -1,15 +1,81 @@
 { 
     "orders": [
         {
-            "id": "123",
+            "id": "100",
+            "summary": "Lawyer Books",
             "email": "matt.murdock@nelsonmurdock.com",
-            "status": "paid"
+            "status": "cancelled",
+            "order_date": "2025-03-30",
+            "last_update": "2025-04-01"
         },
         {
-            "id": "456",
+            "id": "101",
+            "summary": "Bonking Sticks",
+            "email": "matt.murdock@nelsonmurdock.com",
+            "status": "paid",
+            "order_date": "2025-04-01",
+            "last_order_update": "2025-04-01"
+        },
+        {
+            "id": "102",
+            "summary": "Red Sunglasses",
+            "email": "matt.murdock@nelsonmurdock.com",
+            "status": "shipped",
+            "order_date": "2025-04-01",
+            "last_order_update": "2025-04-01",
+            "tracking_id": "1Z111111" 
+        },
+        {
+            "id": "200",
+            "summary": "Paper",
             "email": "foggy.nelson@nelsonmurdock.com",
             "status": "shipped",
-            "tracking_id": "9434609206094724509058" 
-        }
+            "order_date": "2025-04-03",
+            "last_update": "2025-04-06",
+            "tracking_id": "991111" 
+        },
+        {
+            "id": "300",
+            "summary": "Chemistry Books",
+            "email": "heisenberg@blue-meth.com",
+            "status": "shipped",
+            "order_date": "2025-03-30",
+            "last_update": "2025-04-06",
+            "tracking_id": "991111" 
+        },
+        {
+            "id": "301",
+            "summary": "Book: Being a Cool Bro",
+            "email": "heisenberg@blue-meth.com",
+            "status": "cancelled",
+            "order_date": "2025-04-01",
+            "last_update": "2025-04-02" 
+        },
+        {
+            "id": "302",
+            "summary": "Black Hat",
+            "email": "heisenberg@blue-meth.com",
+            "status": "delivered",
+            "order_date": "2025-04-01",
+            "last_update": "2025-04-06",
+            "tracking_id": "1Z11111" 
+        },
+        {
+            "id": "400",
+            "summary": "Giant Graphic Hoodie",
+            "email": "jessenotpinkman@blue-meth.com",
+            "status": "shipped",
+            "order_date": "2025-04-03",
+            "last_update": "2025-04-09",
+            "tracking_id": "1Z111111" 
+        },
+        {
+            "id": "401",
+            "summary": "Giant Pants",
+            "email": "jessenotpinkman@blue-meth.com",
+            "status": "processing",
+            "order_date": "2025-04-03",
+            "last_update": "2025-04-09" 
+        }        
     ]
 }
\ No newline at end of file
diff --git a/tools/ecommerce/get_order_status.py b/tools/ecommerce/get_order.py
similarity index 71%
rename from tools/ecommerce/get_order_status.py
rename to tools/ecommerce/get_order.py
index 4b14cf0..5634b7a 100644
--- a/tools/ecommerce/get_order_status.py
+++ b/tools/ecommerce/get_order.py
@@ -3,7 +3,7 @@ import json
 
 # this is made to demonstrate functionality but it could just as durably be an API call
 # called as part of a temporal activity with automatic retries
-def get_order_status(args: dict) -> dict:
+def get_order(args: dict) -> dict:
     
     order_id = args.get("order_id")
 
@@ -17,10 +17,11 @@ def get_order_status(args: dict) -> dict:
 
     for order in order_list:
         if order["id"] == order_id:
-            if order["status"] == "shipped":
-                return{"status": order["status"], "tracking_id": order["tracking_id"]}
-            else:
-                return{"status": order["status"]}
+            return order
+#            if order["status"] == "shipped":
+ #               return{"status": order["status"], "tracking_id": order["tracking_id"]}
+  #          else:
+   #             return{"status": order["status"]}
         
     return_msg = "Order " + order_id + " not found."
     return {"error": return_msg}
\ No newline at end of file
diff --git a/tools/ecommerce/list_orders.py b/tools/ecommerce/list_orders.py
new file mode 100644
index 0000000..740aa20
--- /dev/null
+++ b/tools/ecommerce/list_orders.py
@@ -0,0 +1,30 @@
+from pathlib import Path
+import json
+
+def sorting(e):
+  return e['order_date']
+
+def list_orders(args: dict) -> dict:
+    
+    email_address = args.get("email_address")
+
+    file_path = Path(__file__).resolve().parent.parent / "data" / "customer_order_data.json"
+    if not file_path.exists():
+        return {"error": "Data file not found."}
+    
+    with open(file_path, "r") as file:
+        data = json.load(file)
+    order_list = data["orders"]
+
+    rtn_order_list = []
+    for order in order_list:
+        if order["email"] == email_address:
+            rtn_order_list.append(order)
+
+    if len(rtn_order_list) > 0:
+        rtn_order_list.sort(key=sorting)
+        return {"orders": rtn_order_list}
+    else:    
+        return_msg = "No orders for customer " + email_address + " found."
+        return {"error": return_msg}
+
diff --git a/tools/ecommerce/track_package.py b/tools/ecommerce/track_package.py
index 5ed8dd1..971eb11 100644
--- a/tools/ecommerce/track_package.py
+++ b/tools/ecommerce/track_package.py
@@ -65,8 +65,8 @@ def track_package(args: dict) -> dict:
 
     tracking_id = args.get("tracking_id")
 
-    api_key = os.getenv("PACKAGE_RAPIDAPI_KEY")
-    api_host = os.getenv("PACKAGE_RAPIDAPI_HOST", "trackingpackage.p.rapidapi.com")
+    api_key = os.getenv("RAPIDAPI_KEY")
+    api_host = os.getenv("RAPIDAPI_HOST_PACKAGE", "trackingpackage.p.rapidapi.com")
 
     conn = http.client.HTTPSConnection(api_host)
     headers = {
@@ -91,14 +91,19 @@ def track_package(args: dict) -> dict:
     scheduled_delivery_date = json_data["ScheduledDeliveryDate"]
     carrier = json_data["Carrier"]
     status_summary = json_data["StatusSummary"]
+    tracking_details = json_data.get("TrackingDetails", [])
+    if tracking_details is not None and tracking_details[0] is not None:
+        last_tracking_update = tracking_details[0]["EventDateTimeInDateTimeFormat"]
     tracking_link = ""
     if carrier == "USPS":
         tracking_link = f"https://tools.usps.com/go/TrackConfirmAction?qtc_tLabels1={tracking_id}"
-    #tracking_details = json_data.get("TrackingDetails", [])
+    elif carrier == "UPS":
+        tracking_link = f"https://www.ups.com/track?track=yes&trackNums={tracking_id}"
 
     return {
         "scheduled_delivery_date": scheduled_delivery_date,
         "carrier": carrier,
         "status_summary": status_summary,
         "tracking_link": tracking_link,
+        "last_tracking_update": last_tracking_update
     }
\ No newline at end of file
diff --git a/tools/goal_registry.py b/tools/goal_registry.py
index 9cc0d96..bf6cdde 100644
--- a/tools/goal_registry.py
+++ b/tools/goal_registry.py
@@ -345,7 +345,6 @@ goal_fin_move_money = AgentGoal(
 
 # ----- E-Commerce Goals ---
 #todo: add goal to list all orders for last X amount of time?
-#todo: add goal to reorder?
 # this tool checks account balances, and uses ./data/customer_account_data.json as dummy data
 goal_ecomm_order_status = AgentGoal(
     id = "goal_ecomm_order_status",
@@ -353,12 +352,12 @@ goal_ecomm_order_status = AgentGoal(
     agent_name="Check Order Status",
     agent_friendly_description="Check the status of your order.",   
     tools=[
-        tool_registry.ecomm_get_order_status,
+        tool_registry.ecomm_get_order,
         tool_registry.ecomm_track_package,
     ],
-    description="The user wants to learn the status of a specific order. If the status is 'shipped', they might want to get the package tracking information. To assist with that goal, help the user gather args for these tools in order: "
-    "1. GetOrderStatus: get the status of the order"
-    "2. TrackPackage: provide tracking information for the package. This tool is optional and should only be offered if the status is 'shipped' - otherwise, skip this tool and do not mention it to the user.",
+    description="The user wants to learn the status of a specific order. If the status is 'shipped' or 'delivered', they might want to get the package tracking information. To assist with that goal, help the user gather args for these tools in order: "
+    "1. GetOrder: get information about an order"
+    "2. TrackPackage: provide tracking information for the package. This tool is optional and should only be offered if the status is 'shipped' OR 'delivered' - otherwise, skip this tool and do not mention it to the user.",
     starter_prompt=starter_prompt_generic,
     example_conversation_history="\n ".join(
         [
@@ -366,18 +365,60 @@ goal_ecomm_order_status = AgentGoal(
             "agent: Sure! I can help you out with that. May I have your email address or order number?",
             "user: email is bob.johnson@emailzzz.com ",
             "user_confirmed_tool_run: <user clicks confirm on GetOrderStatus tool>",
-            "tool_result: { 'status': 'shipped', 'tracking_id': 'abc123' }",
-            "agent: Your order has been shipped. Would you like to see the tracking inforation?",
+            "tool_result: { 'id': '102', 'summary': 'Red Sunglasses', 'email': 'matt.murdock@nelsonmurdock.com', 'status': 'shipped', 'order_date': '2025-04-01', 'last_order_update': '2025-04-06', 'tracking_id': '039813852990618' }",
+            "agent: Your order 'Red Sunglasses,' placed April 1, 2025, was shipped on April 6, 2025. Would you like to see the tracking inforation?",
             "user: Yes",
             "user_confirmed_tool_run: <user clicks confirm on TrackPackage tool>",
-            "tool_result: { 'scheduled_delivery_date': 'April 30, 2025', 'carrier': 'USPS', 'status_summary': 'Your item has left our acceptance facility and is in transit to a sorting facility on April 10, 2025 at 7:06 am in IRON RIDGE, WI 53035.', 'tracking_link': 'https://tools.usps.com/go/TrackConfirmAction?qtc_tLabels1=12345",
-            "agent: Your package is scheduled to be delivered on April 30, 2025 via USPS. Here is the most recent status from them regarding your package: \n"
+            "tool_result: { 'scheduled_delivery_date': 'April 30, 2025', 'carrier': 'USPS', 'status_summary': 'Your item has left our acceptance facility and is in transit to a sorting facility on April 10, 2025 at 7:06 am in IRON RIDGE, WI 53035.', 'tracking_link': 'https://tools.usps.com/go/TrackConfirmAction?qtc_tLabels1=12345','last_tracking_update': '2025-03-22T16:14:48'}",
+            "agent: Your package is scheduled to be delivered on April 30, 2025 via USPS. Here is the most recent status from them regarding your package, updated as of March 22: \n"
             "Your item has left our acceptance facility and is in transit to a sorting facility on April 10, 2025 at 7:06 am in IRON RIDGE, WI 53035. \n"
             "You can find the full tracking details here: tracking_link !",
         ]
     ),
 )
 
+goal_ecomm_list_orders = AgentGoal(
+    id = "goal_ecomm_list_orders",
+    category_tag="ecommerce",
+    agent_name="List All Orders",
+    agent_friendly_description="List all orders for a user.",   
+    tools=[
+        tool_registry.ecomm_list_orders,
+        tool_registry.ecomm_get_order,
+        tool_registry.ecomm_track_package,
+    ],
+    description="The user wants to see all of their orders. They may want more details about specific orders, and if the status of an order is 'shipped' or 'delivered', they might want to get the package tracking information. To assist with that goal, help the user gather args for this tool: "
+    "1. ListOrders: list orders for a user"
+    " and then offer the following tools, in a loop, until the user indicates they are done:"
+    "2. GetOrder: get information about an order. This tool is optional."
+    "3. TrackPackage: provide tracking information for the package. This tool is optional and should only be offered if the status is 'shipped' OR 'delivered' - otherwise, skip this tool and do not mention it to the user.",
+    starter_prompt=starter_prompt_generic,
+    example_conversation_history="\n ".join(
+        [
+            "user: I'd like to see all of my orders.",
+            "agent: Sure! I can help you out with that. May I have your email address?",
+            "user: email is bob.johnson@emailzzz.com ",
+            "user_confirmed_tool_run: <user clicks confirm on ListOrders tool>",
+            "tool_result: a list of orders including [{'id': '102', 'summary': 'Red Sunglasses', 'email': 'matt.murdock@nelsonmurdock.com', 'status': 'shipped', 'order_date': '2025-04-01', 'last_order_update': '2025-04-06', 'tracking_id': '039813852990618' }, { 'id': '103', 'summary': 'Blue Sunglasses', 'email': 'matt.murdock@nelsonmurdock.com', 'status': 'paid', 'order_date': '2025-04-03', 'last_order_update': '2025-04-07' }]",
+            "agent: Your orders are as follows: \n",
+            "1. Red Sunglasses, ordered 4/1/2025 \n",
+            "2. Blue Sunglasses, ordered 4/3/2025 \n",
+            "Would you like more information about any of your orders?"
+            "user: Yes, the Red Sunglasses",
+            "agent: Your order 'Red Sunglasses,' placed April 1, 2025, was shipped on April 6, 2025. Would you like to see the tracking inforation?",
+            "user: Yes",
+            "user_confirmed_tool_run: <user clicks confirm on TrackPackage tool>",
+            "tool_result: { 'scheduled_delivery_date': 'April 30, 2025', 'carrier': 'USPS', 'status_summary': 'Your item has left our acceptance facility and is in transit to a sorting facility on April 10, 2025 at 7:06 am in IRON RIDGE, WI 53035.', 'tracking_link': 'https://tools.usps.com/go/TrackConfirmAction?qtc_tLabels1=12345','last_tracking_update': '2025-03-22T16:14:48'}",
+            "agent: Your package is scheduled to be delivered on April 30, 2025 via USPS. Here is the most recent status from them regarding your package \n, updated as of March 22: \n"
+            "Your item has left our acceptance facility and is in transit to a sorting facility on April 10, 2025 at 7:06 am in IRON RIDGE, WI 53035. \n"
+            "You can find the full tracking details here: tracking_link ! \n"
+            "Would you like more information about any of your other orders?",
+            "user: No"
+            "agent: Thanks, and have a great day!"
+        ]
+    ),
+)
+
 #Add the goals to a list for more generic processing, like listing available agents
 goal_list: List[AgentGoal] = []
 goal_list.append(goal_choose_agent_type)
@@ -389,7 +430,5 @@ goal_list.append(goal_hr_check_pto)
 goal_list.append(goal_hr_check_paycheck_bank_integration_status)
 goal_list.append(goal_fin_check_account_balances)
 goal_list.append(goal_fin_move_money)
-goal_list.append(goal_ecomm_order_status)
-
-
-
+goal_list.append(goal_ecomm_list_orders)
+goal_list.append(goal_ecomm_order_status)
\ No newline at end of file
diff --git a/tools/search_flights.py b/tools/search_flights.py
index a2335f0..24a907d 100644
--- a/tools/search_flights.py
+++ b/tools/search_flights.py
@@ -11,7 +11,7 @@ def search_airport(query: str) -> list:
     """
     load_dotenv(override=True)
     api_key = os.getenv("RAPIDAPI_KEY", "YOUR_DEFAULT_KEY")
-    api_host = os.getenv("RAPIDAPI_HOST", "sky-scrapper.p.rapidapi.com")
+    api_host = os.getenv("RAPIDAPI_HOST_FLIGHTS", "sky-scrapper.p.rapidapi.com")
 
     conn = http.client.HTTPSConnection(api_host)
     headers = {
@@ -73,7 +73,7 @@ def search_flights_real_api(
     # Step 2: Call flight search with resolved codes
     load_dotenv(override=True)
     api_key = os.getenv("RAPIDAPI_KEY", "YOUR_DEFAULT_KEY")
-    api_host = os.getenv("RAPIDAPI_HOST", "sky-scrapper.p.rapidapi.com")
+    api_host = os.getenv("RAPIDAPI_HOST_FLIGHTS", "sky-scrapper.p.rapidapi.com")
 
     conn = http.client.HTTPSConnection(api_host)
     headers = {
diff --git a/tools/tool_registry.py b/tools/tool_registry.py
index ec402fb..a8eaa2a 100644
--- a/tools/tool_registry.py
+++ b/tools/tool_registry.py
@@ -319,9 +319,21 @@ financial_move_money = ToolDefinition(
 )
 
 # ----- ECommerce Use Case Tools -----
-ecomm_get_order_status = ToolDefinition(
-    name="GetOrderStatus",
-    description="Get status of order by order number.",
+ecomm_list_orders = ToolDefinition(
+    name="ListOrders",
+    description="Get all orders for a certain email address.",
+    arguments=[
+        ToolArgument(
+            name="email_address",
+            type="string",
+            description="Email address of user by which to find orders",
+        ),
+    ],
+)
+
+ecomm_get_order = ToolDefinition(
+    name="GetOrder",
+    description="Get infromation about an order by order ID.",
     arguments=[
         ToolArgument(
             name="order_id",

From 5b58f30e0da97c0aec96d928115dbe03baa74d5d Mon Sep 17 00:00:00 2001
From: Joshua Smith <joshmsmith@gmail.com>
Date: Fri, 11 Apr 2025 17:43:34 -0400
Subject: [PATCH 76/98] wip checkin

---
 adding-goals-and-tools.md | 20 ++++++++++++++++----
 setup.md                  |  7 ++++++-
 todo.md                   |  2 ++
 tools/__init__.py         |  5 ++++-
 tools/fin/move_money.py   |  1 -
 tools/goal_registry.py    | 35 ++++++++++++++++++++++++++++++++++-
 tools/tool_registry.py    | 19 +++++++++++++++++++
 7 files changed, 81 insertions(+), 8 deletions(-)

diff --git a/adding-goals-and-tools.md b/adding-goals-and-tools.md
index 910b39d..6ec806a 100644
--- a/adding-goals-and-tools.md
+++ b/adding-goals-and-tools.md
@@ -4,9 +4,10 @@ The agent is set up to allow for multiple goals and to switch back to choosing a
 It may be helpful to review the [architecture](./architecture.md) for a guide and definition of goals, tools, etc.
 
 ## Adding a New Goal Category
-Goal Categories lets you pick which groups of goals to show. Set via an .env setting, GOAL_CATEGORIES.
+Goal Categories lets you pick which groups of goals to show. Set via an .env setting, `GOAL_CATEGORIES`. 
+Even if you don't intend to use the goal in a multi-goal scenario, goal categories are useful for others.
 1. Pick a unique one that has some business meaning
-2. Use it in your .env file
+2. Use it in your [.env](./.env) file
 3. Add to [.env.example](./.env.example)
 4. Use it in your Goal definition, see below.
 
@@ -35,7 +36,7 @@ tools=[
 
 ## Adding Tools
 
-### Optional Tools
+### Note on Optional Tools
 Tools can be optional - you can indicate this in the tool listing of goal description (see above section re: goal registry) by adding something like, "This step is optional and can be skipped by moving to the next tool." Here is an example from an older iteration of the `goal_hr_schedule_pto` goal, when it was going to have an optional step to check for existing calendar conflicts:
 
 ```
@@ -84,4 +85,15 @@ There are three ways to manage confirmation of tool runs:
         ),
 ```
 If you really want to wait for user confirmation, record it on the workflow (as a Signal) and not rely on the LLM to probably get it, use option #3. 
-I recommend exploring all three. For a demo, I would decide if you want the Arguments confirmation in the UI, and if not I'd generally go with option #2 but use #3 for tools that make business sense to confirm, e.g. those tools that take action/write data.
\ No newline at end of file
+I recommend exploring all three. For a demo, I would decide if you want the Arguments confirmation in the UI, and if not I'd generally go with option #2 but use #3 for tools that make business sense to confirm, e.g. those tools that take action/write data.
+
+## Add a Goal & Tools Checklist
+[  ] Add goal in [/tools/goal_registry.py](tools/goal_registry.py) <br />
+- [  ] If a new category, add Goal Category to [.env](./.env)  and [.env.example](./.env.example)  <br />
+- [  ] don't forget the goal list at the bottom of the [goal_registry.py](tools/goal_registry.py) <br />
+
+[  ] Add Tools listed in the Goal Registry to the  [tool_registry.py](tools/tool_registry.py)  <br />
+[  ] Define your tools as Activities in `/tools` <br />
+[  ] Add your tools to [tool list](tools/__init__.py) in the tool get_handler() <br />
+
+And that's it! Happy AI Agent building!
diff --git a/setup.md b/setup.md
index a31df80..a94f989 100644
--- a/setup.md
+++ b/setup.md
@@ -192,7 +192,7 @@ dotnet run
 ```
 If you're running your train API above on a different host/port then change the API URL in `Program.cs`. Otherwise, be sure to run it using `python thirdparty/train_api.py`.
 
-#### Goals: FIN/Money Movement
+#### Goals: FIN - Money Movement and Loan Application
 Make sure you have the mock users you want (such as yourself) in [the account mock data file](./tools/data/customer_account_data.json).
 
 - `AGENT_GOAL=goal_fin_move_money` - This scenario _can_ initiate a secondary workflow to move money. Check out [this repo](https://github.com/temporal-sa/temporal-money-transfer-java) - you'll need to get the worker running and connected to the same account as the agentic worker. 
@@ -200,6 +200,11 @@ By default it will _not_ make a real workflow, it'll just fake it. If you get th
 ```bash
 FIN_START_REAL_WORKFLOW=FALSE #set this to true to start a real workflow
 ```
+- `AGENT_GOAL=goal_fin_loan_application` - This scenario _can_ initiate a secondary workflow to apply for a loan. Check out [this repo](https://github.com/temporal-sa/temporal-latency-optimization-scenarios) - you'll need to get the worker running and connected to the same account as the agentic worker. 
+By default it will _not_ make a real workflow, it'll just fake it. If you get the worker running and want to start a workflow, in your [.env](./.env):
+```bash
+FIN_START_REAL_WORKFLOW=FALSE #set this to true to start a real workflow
+
 
 #### Goals: HR/PTO
 Make sure you have the mock users you want in (such as yourself) in [the PTO mock data file](./tools/data/employee_pto_data.json).
diff --git a/todo.md b/todo.md
index b43dd41..1c2027a 100644
--- a/todo.md
+++ b/todo.md
@@ -7,6 +7,8 @@
 - Portfolio Management and Rebalancing - The AI monitors a customer’s investment portfolio, rebalancing it automatically based on market trends, risk tolerance, and financial goals (e.g., shifting assets between stocks, bonds, or crypto).<br />
 
 [ ] new loan/fraud check/update with start <br />
+[ ] financial advise - args being freeform customer input about their financial situation, goals
+    [ ] tool is maybe a new tool asking the LLM to advise
 [ ] LLM failure->autoswitch: <br />
     - detect failure in the activity using failurecount <br />
     - activity switches to secondary LLM defined in .env
diff --git a/tools/__init__.py b/tools/__init__.py
index 61d3545..e7df76c 100644
--- a/tools/__init__.py
+++ b/tools/__init__.py
@@ -16,6 +16,7 @@ from .hr.checkpaybankstatus import checkpaybankstatus
 from .fin.check_account_valid import check_account_valid
 from .fin.get_account_balances import get_account_balance
 from .fin.move_money import move_money
+from .fin.submit_loan_application import submit_loan_application
 
 from .give_hint import give_hint
 from .guess_location import guess_location
@@ -53,7 +54,9 @@ def get_handler(tool_name: str):
     if tool_name == "FinCheckAccountBalance":
         return get_account_balance    
     if tool_name == "FinMoveMoneyOrder":
-        return move_money    
+        return move_money
+    if tool_name == "FinCheckAccountSubmitLoanApproval":
+        return submit_loan_application    
     if tool_name == "GiveHint":
         return give_hint
     if tool_name == "GuessLocation":
diff --git a/tools/fin/move_money.py b/tools/fin/move_money.py
index 1f17f3e..f9569b7 100644
--- a/tools/fin/move_money.py
+++ b/tools/fin/move_money.py
@@ -31,7 +31,6 @@ class MoneyMovementWorkflowParameterObj:
 # this assumes it's a valid account - use check_account_valid() to verify that first
 async def move_money(args: dict) -> dict:
     
-    print("in move_money")
     account_key = args.get("accountkey")
     account_type: str = args.get("accounttype")
     amount = args.get("amount")
diff --git a/tools/goal_registry.py b/tools/goal_registry.py
index 19f62fb..837f412 100644
--- a/tools/goal_registry.py
+++ b/tools/goal_registry.py
@@ -302,6 +302,7 @@ goal_fin_check_account_balances = AgentGoal(
 )
 
 # this tool checks account balances, and uses ./data/customer_account_data.json as dummy data
+# it also uses a separate workflow/tool, see ./setup.md for details
 goal_fin_move_money = AgentGoal(
     id = "goal_fin_move_money",
     category_tag="fin",
@@ -319,7 +320,7 @@ goal_fin_move_money = AgentGoal(
     starter_prompt=starter_prompt_generic,
     example_conversation_history="\n ".join(
         [
-            "user: I'd like transfer some money",
+            "user: I'd like to transfer some money",
             "agent: Sure! I can help you out with that. May I have account number and email address?",
             "user: account number is 11235813",
             "user_confirmed_tool_run: <user clicks confirm on FincheckAccountIsValid tool>",
@@ -340,6 +341,37 @@ goal_fin_move_money = AgentGoal(
     ),
 )
 
+# this starts a loan approval process
+# it also uses a separate workflow/tool, see ./setup.md for details #todo
+goal_fin_loan_application = AgentGoal(
+    id = "goal_fin_loan_application",
+    category_tag="fin",
+    agent_name="Loan Application",
+    agent_friendly_description="Initiate loan application.",   
+    tools=[
+        tool_registry.financial_check_account_is_valid,
+        tool_registry.financial_submit_loan_approval, #todo 
+    ],
+    description="The user wants to apply for a loan at the financial institution. To assist with that goal, help the user gather args for these tools in order: "
+    "1. FinCheckAccountIsValid: validate the user's account is valid"
+    "2. FinCheckAccountSubmitLoanApproval: submit the loan for approval",
+    starter_prompt=starter_prompt_generic,
+    example_conversation_history="\n ".join(
+        [
+            "user: I'd like to apply for a loan",
+            "agent: Sure! I can help you out with that. May I have account number for confirmation?",
+            "user: account number is 11235813",
+            "user_confirmed_tool_run: <user clicks confirm on FincheckAccountIsValid tool>",
+            "tool_result: { 'status': account valid }",
+            "agent: Great! We've validated your account. What will the loan amount be?",
+            "user: I'd like a loan for $500",
+            "user_confirmed_tool_run: <user clicks confirm on FinCheckAccountSubmitLoanApproval tool>",
+            "tool_result: { 'status': submitted, 'detailed_status': loan application is submitted and initial validation is complete, 'confirmation id': 333421, 'next_step': You'll receive a confirmation for final approval in three business days }",
+            "agent: I have submitted your loan application process and the initial validation is successful. You'll receive a confirmation from us in three business days. "
+        ]
+    ),
+)
+
 #Add the goals to a list for more generic processing, like listing available agents
 goal_list: List[AgentGoal] = []
 goal_list.append(goal_choose_agent_type)
@@ -351,6 +383,7 @@ goal_list.append(goal_hr_check_pto)
 goal_list.append(goal_hr_check_paycheck_bank_integration_status)
 goal_list.append(goal_fin_check_account_balances)
 goal_list.append(goal_fin_move_money)
+goal_list.append(goal_fin_loan_application)
 
 
 
diff --git a/tools/tool_registry.py b/tools/tool_registry.py
index 24fad84..c0805fd 100644
--- a/tools/tool_registry.py
+++ b/tools/tool_registry.py
@@ -316,4 +316,23 @@ financial_move_money = ToolDefinition(
             description="account number to move the money to",
         ),
     ],
+)
+
+financial_move_money = ToolDefinition(
+    name="FinCheckAccountSubmitLoanApproval",
+    description="Submit a loan application. "
+    "Returns the loan status. ",
+    
+    arguments=[
+        ToolArgument(
+            name="accountkey",
+            type="string",
+            description="email address or account ID of user",
+        ),  
+         ToolArgument(
+            name="amount",
+            type="string",
+            description="amount requested for the loan",
+        ),
+    ],
 )
\ No newline at end of file

From f0524f2b5fa427eafb5507430eaef76540030437 Mon Sep 17 00:00:00 2001
From: Joshua Smith <joshmsmith@gmail.com>
Date: Fri, 11 Apr 2025 17:45:46 -0400
Subject: [PATCH 77/98] yeah this won't work

---
 tools/fin/submit_loan_application.py | 94 ++++++++++++++++++++++++++++
 1 file changed, 94 insertions(+)
 create mode 100644 tools/fin/submit_loan_application.py

diff --git a/tools/fin/submit_loan_application.py b/tools/fin/submit_loan_application.py
new file mode 100644
index 0000000..4aa1e83
--- /dev/null
+++ b/tools/fin/submit_loan_application.py
@@ -0,0 +1,94 @@
+from datetime import timedelta
+import os
+from pathlib import Path
+import json
+from temporalio.client import Client, WorkflowHandle
+from dataclasses import dataclass
+from typing import Optional
+import asyncio
+from temporalio.exceptions import WorkflowAlreadyStartedError
+from shared.config import get_temporal_client
+
+
+# Define data structures to match the Java workflow's expected input/output
+# see https://github.com/temporal-sa/temporal-latency-optimization-scenarios for more details
+@dataclass
+class TransactionRequest:
+    amount: float
+    account_id: str
+
+@dataclass
+class TxResult:
+    transaction_id: str
+    message: str
+
+#demonstrate starting a workflow and early return pattern while the workflow continues
+async def submit_loan_application(args: dict) -> dict:
+    account_key = args.get("accountkey")
+    amount = args.get("amount")
+
+    loan_status: dict = await start_workflow(amount=amount,account_name=account_key)
+
+    return {'status': loan_status.get("loan_status"), 'detailed_status': loan_status.get("results"), 'next_step': loan_status.get("advisement"), 'confirmation_id': loan_status.get("workflowID")}  
+    
+
+# Async function to start workflow
+async def start_workflow(amount: str, account_name: str, )-> dict:
+ 
+    # Connect to Temporal 
+    client = await get_temporal_client()
+    start_real_workflow = os.getenv("FIN_START_REAL_WORKFLOW")
+    if start_real_workflow is not None and start_real_workflow.lower() == "false":
+        START_REAL_WORKFLOW = False
+    else:
+        START_REAL_WORKFLOW = True
+    
+    if START_REAL_WORKFLOW:
+
+        # Define the workflow ID and task queue
+        workflow_id = "APPLICATION-"+account_name
+        task_queue = "LatencyOptimizationTEST"
+
+        # Create a TransactionRequest (matching the Java workflow's expected input)
+        tx_request = TransactionRequest(
+            amount=float(amount),
+            account_id=account_name
+        )
+
+        #try:
+        # Use update-with-start to start the workflow and call the update method
+        handle: WorkflowHandle = await client.start_workflow(
+            "TransactionWorkflowLocalBeforeUpdate.processTransaction",  # Workflow name
+            tx_request,  # Input to the processTransaction method
+            id=workflow_id,
+            task_queue=task_queue,
+            execution_timeout=timedelta(minutes=5),
+            # Specify the update to call immediately after starting
+            update="returnInitResult",
+            update_args=[]  # No arguments needed for returnInitResult
+        )
+
+        # Wait for the update result (returnInitResult)
+        update_result = await handle.result_of_update("returnInitResult")
+        
+        # Since the result is a RawValue, we need to deserialize it
+        # For simplicity, assuming the result is TxResult (adjust based on actual serialization)
+        #result_dict = update_result.payloads[0].decode()  # Simplified; use proper deserialization
+        tx_result = TxResult(
+            transaction_id=result_dict.get("transaction_id", ""),
+            message=result_dict.get("message", "")
+        )
+
+        print(f"Update result: Transaction ID = {tx_result.transaction_id}, Message = {tx_result.message}")
+
+        # Optionally, wait for the workflow to complete and get the final result
+        # final_result = await handle.result()
+        # print(f"Workflow completed with result: {final_result}")
+
+        #except Exception as e:
+        #    print(f"Error executing workflow: {e}")
+
+
+    # return {'status': loan_status.get("loan_status"), 'detailed_status': loan_status.get("results"), 'next_step': loan_status.get("advisement"), 'confirmation_id': loan_status.get("workflowID")}  
+    return {'status': "status", 'detailed_status': "loan application is submitted and initial validation is complete",'confirmation id': "11358", 'next_step': "You'll receive a confirmation for final approval in three business days", }  
+    
\ No newline at end of file

From 79dcd40dded5150a0533b02077a2ab41c40afb88 Mon Sep 17 00:00:00 2001
From: Joshua Smith <joshmsmith@gmail.com>
Date: Sat, 12 Apr 2025 15:41:47 -0400
Subject: [PATCH 78/98] well it kinda works

---
 tools/fin/submit_loan_application.py | 79 ++++++++++++++++------------
 tools/goal_registry.py               |  4 +-
 tools/tool_registry.py               |  2 +-
 3 files changed, 47 insertions(+), 38 deletions(-)

diff --git a/tools/fin/submit_loan_application.py b/tools/fin/submit_loan_application.py
index 4aa1e83..4093ec0 100644
--- a/tools/fin/submit_loan_application.py
+++ b/tools/fin/submit_loan_application.py
@@ -1,8 +1,14 @@
-from datetime import timedelta
+from datetime import date, timedelta
 import os
 from pathlib import Path
 import json
-from temporalio.client import Client, WorkflowHandle
+from temporalio.client import (
+    Client,
+    WithStartWorkflowOperation,
+    WorkflowHandle,
+    WorkflowUpdateFailedError,
+)
+from temporalio import common
 from dataclasses import dataclass
 from typing import Optional
 import asyncio
@@ -15,12 +21,13 @@ from shared.config import get_temporal_client
 @dataclass
 class TransactionRequest:
     amount: float
-    account_id: str
+    sourceAccount: str
+    targetAccount: str
 
 @dataclass
 class TxResult:
-    transaction_id: str
-    message: str
+    transactionId: str
+    status: str
 
 #demonstrate starting a workflow and early return pattern while the workflow continues
 async def submit_loan_application(args: dict) -> dict:
@@ -29,7 +36,11 @@ async def submit_loan_application(args: dict) -> dict:
 
     loan_status: dict = await start_workflow(amount=amount,account_name=account_key)
 
-    return {'status': loan_status.get("loan_status"), 'detailed_status': loan_status.get("results"), 'next_step': loan_status.get("advisement"), 'confirmation_id': loan_status.get("workflowID")}  
+    if loan_status.get("error") is None:
+        return {'status': loan_status.get("loan_application_status"), 'detailed_status': loan_status.get("application_details"), 'next_step': loan_status.get("advisement"), 'confirmation_id': loan_status.get("transaction_id")}  
+    else:
+        print(loan_status)
+        return loan_status
     
 
 # Async function to start workflow
@@ -40,55 +51,53 @@ async def start_workflow(amount: str, account_name: str, )-> dict:
     start_real_workflow = os.getenv("FIN_START_REAL_WORKFLOW")
     if start_real_workflow is not None and start_real_workflow.lower() == "false":
         START_REAL_WORKFLOW = False
+        return {'loan_application_status': "applied", 'application_details': "loan application is submitted and initial validation is complete",'transaction_id': "APPLICATION"+account_name, 'advisement': "You'll receive a confirmation for final approval in three business days", }  
     else:
         START_REAL_WORKFLOW = True
     
-    if START_REAL_WORKFLOW:
-
         # Define the workflow ID and task queue
-        workflow_id = "APPLICATION-"+account_name
+        workflow_id = "LOAN_APPLICATION-"+account_name+"-"+date.today().strftime('%Y-%m-%d')
         task_queue = "LatencyOptimizationTEST"
 
         # Create a TransactionRequest (matching the Java workflow's expected input)
         tx_request = TransactionRequest(
             amount=float(amount),
-            account_id=account_name
+            targetAccount=account_name,
+            sourceAccount=account_name,
         )
 
-        #try:
-        # Use update-with-start to start the workflow and call the update method
-        handle: WorkflowHandle = await client.start_workflow(
-            "TransactionWorkflowLocalBeforeUpdate.processTransaction",  # Workflow name
-            tx_request,  # Input to the processTransaction method
+        start_op = WithStartWorkflowOperation(
+            "TransactionWorkflowLocalBeforeUpdate",
+            tx_request,
             id=workflow_id,
+            id_conflict_policy=common.WorkflowIDConflictPolicy.USE_EXISTING,
             task_queue=task_queue,
-            execution_timeout=timedelta(minutes=5),
-            # Specify the update to call immediately after starting
-            update="returnInitResult",
-            update_args=[]  # No arguments needed for returnInitResult
         )
 
-        # Wait for the update result (returnInitResult)
-        update_result = await handle.result_of_update("returnInitResult")
-        
-        # Since the result is a RawValue, we need to deserialize it
-        # For simplicity, assuming the result is TxResult (adjust based on actual serialization)
-        #result_dict = update_result.payloads[0].decode()  # Simplified; use proper deserialization
-        tx_result = TxResult(
-            transaction_id=result_dict.get("transaction_id", ""),
-            message=result_dict.get("message", "")
-        )
+        try:
+            print("trying update-with-start")
+            tx_result = TxResult(
+                await client.execute_update_with_start_workflow(
+                    "returnInitResult",
+                    start_workflow_operation=start_op,
+                )
+            )
+        except WorkflowUpdateFailedError:
+            print("aww man got exception WorkflowUpdateFailedError" )
+            tx_result = None
+            return_msg = "Loan could not be processed for " + account_name
+            return {"error": return_msg}
 
-        print(f"Update result: Transaction ID = {tx_result.transaction_id}, Message = {tx_result.message}")
+        workflow_handle = await start_op.workflow_handle()
+        print(tx_result)
+
+        print(f"Update result: Transaction ID = {tx_result.transactionId}, Message = {tx_result.status}")
 
         # Optionally, wait for the workflow to complete and get the final result
         # final_result = await handle.result()
         # print(f"Workflow completed with result: {final_result}")
 
-        #except Exception as e:
-        #    print(f"Error executing workflow: {e}")
 
-
-    # return {'status': loan_status.get("loan_status"), 'detailed_status': loan_status.get("results"), 'next_step': loan_status.get("advisement"), 'confirmation_id': loan_status.get("workflowID")}  
-    return {'status': "status", 'detailed_status': "loan application is submitted and initial validation is complete",'confirmation id': "11358", 'next_step': "You'll receive a confirmation for final approval in three business days", }  
+        # return {'status': loan_status.get("loan_status"), 'detailed_status': loan_status.get("results"), 'next_step': loan_status.get("advisement"), 'confirmation_id': loan_status.get("workflowID")}  
+        return {'loan_application_status': "applied", 'application_details': "loan application is submitted and initial validation is complete",'transaction_id': tx_result.transactionId, 'advisement': "You'll receive a confirmation for final approval in three business days", }  
     
\ No newline at end of file
diff --git a/tools/goal_registry.py b/tools/goal_registry.py
index 837f412..95c329f 100644
--- a/tools/goal_registry.py
+++ b/tools/goal_registry.py
@@ -346,7 +346,7 @@ goal_fin_move_money = AgentGoal(
 goal_fin_loan_application = AgentGoal(
     id = "goal_fin_loan_application",
     category_tag="fin",
-    agent_name="Loan Application",
+    agent_name="Easy Loan Apply",
     agent_friendly_description="Initiate loan application.",   
     tools=[
         tool_registry.financial_check_account_is_valid,
@@ -367,7 +367,7 @@ goal_fin_loan_application = AgentGoal(
             "user: I'd like a loan for $500",
             "user_confirmed_tool_run: <user clicks confirm on FinCheckAccountSubmitLoanApproval tool>",
             "tool_result: { 'status': submitted, 'detailed_status': loan application is submitted and initial validation is complete, 'confirmation id': 333421, 'next_step': You'll receive a confirmation for final approval in three business days }",
-            "agent: I have submitted your loan application process and the initial validation is successful. You'll receive a confirmation from us in three business days. "
+            "agent: I have submitted your loan application process and the initial validation is successful. Your application ID is 333421. You'll receive a notification for final approval from us in three business days. "
         ]
     ),
 )
diff --git a/tools/tool_registry.py b/tools/tool_registry.py
index c0805fd..c9b601b 100644
--- a/tools/tool_registry.py
+++ b/tools/tool_registry.py
@@ -318,7 +318,7 @@ financial_move_money = ToolDefinition(
     ],
 )
 
-financial_move_money = ToolDefinition(
+financial_submit_loan_approval = ToolDefinition(
     name="FinCheckAccountSubmitLoanApproval",
     description="Submit a loan application. "
     "Returns the loan status. ",

From dddd2977b9cde023366d6e1710f8b7e13e56fe7b Mon Sep 17 00:00:00 2001
From: Joshua Smith <joshmsmith@gmail.com>
Date: Sun, 13 Apr 2025 17:03:50 -0400
Subject: [PATCH 79/98] adding ecommerce to .env.example and some error
 handling in track_package

---
 .env.example                     | 2 +-
 tools/ecommerce/track_package.py | 3 ++-
 2 files changed, 3 insertions(+), 2 deletions(-)

diff --git a/.env.example b/.env.example
index ead99c0..844fd27 100644
--- a/.env.example
+++ b/.env.example
@@ -43,7 +43,7 @@ AGENT_GOAL=goal_choose_agent_type  # for multi-goal  start
 
 #Choose which category(ies) of goals you want to be listed by the Agent Goal picker if enabled above
 # - options are system (always included), hr, travel, or all. 
-GOAL_CATEGORIES=hr,travel-flights,travel-trains,fin # default is all
+GOAL_CATEGORIES=hr,travel-flights,travel-trains,fin,ecommerce # default is all
 #GOAL_CATEGORIES=travel-flights
 
 # Set if the workflow should wait for the user to click a confirm button (and if the UI should show the confirm button and tool args)
diff --git a/tools/ecommerce/track_package.py b/tools/ecommerce/track_package.py
index 971eb11..55b14fd 100644
--- a/tools/ecommerce/track_package.py
+++ b/tools/ecommerce/track_package.py
@@ -92,7 +92,8 @@ def track_package(args: dict) -> dict:
     carrier = json_data["Carrier"]
     status_summary = json_data["StatusSummary"]
     tracking_details = json_data.get("TrackingDetails", [])
-    if tracking_details is not None and tracking_details[0] is not None:
+    last_tracking_update = ""
+    if tracking_details and tracking_details is not None and tracking_details[0] is not None:
         last_tracking_update = tracking_details[0]["EventDateTimeInDateTimeFormat"]
     tracking_link = ""
     if carrier == "USPS":

From 812e295f3a7a7f387bcc7e2dae7ec843d8e48a57 Mon Sep 17 00:00:00 2001
From: Joshua Smith <joshmsmith@gmail.com>
Date: Mon, 14 Apr 2025 09:27:33 -0400
Subject: [PATCH 80/98] switching to method activity calls

---
 workflows/agent_goal_workflow.py | 9 +++++----
 1 file changed, 5 insertions(+), 4 deletions(-)

diff --git a/workflows/agent_goal_workflow.py b/workflows/agent_goal_workflow.py
index 083332b..5f73ddf 100644
--- a/workflows/agent_goal_workflow.py
+++ b/workflows/agent_goal_workflow.py
@@ -108,7 +108,7 @@ class AgentGoalWorkflow:
                         conversation_history=self.conversation_history,
                         agent_goal=self.goal,
                     )
-                    validation_result = await workflow.execute_activity(
+                    validation_result = await workflow.execute_activity_method(
                         ToolActivities.agent_validatePrompt,
                         args=[validation_input],
                         schedule_to_close_timeout=LLM_ACTIVITY_SCHEDULE_TO_CLOSE_TIMEOUT,
@@ -134,7 +134,7 @@ class AgentGoalWorkflow:
                 prompt_input = ToolPromptInput(prompt=prompt, context_instructions=context_instructions)
 
                 # connect to LLM and execute to get next steps
-                tool_data = await workflow.execute_activity(
+                tool_data = await workflow.execute_activity_method(
                     ToolActivities.agent_toolPlanner,
                     prompt_input,
                     schedule_to_close_timeout=LLM_ACTIVITY_SCHEDULE_TO_CLOSE_TIMEOUT,
@@ -316,8 +316,9 @@ class AgentGoalWorkflow:
     async def lookup_wf_env_settings(self, combined_input: CombinedInput)->None:
         env_lookup_input = EnvLookupInput(
             show_confirm_env_var_name = "SHOW_CONFIRM", 
-            show_confirm_default = True)
-        env_output:EnvLookupOutput = await workflow.execute_activity(
+            show_confirm_default = True,
+        )
+        env_output:EnvLookupOutput = await workflow.execute_activity_method(
             ToolActivities.get_wf_env_vars, 
             env_lookup_input,
             start_to_close_timeout=LLM_ACTIVITY_START_TO_CLOSE_TIMEOUT,

From 4f953132e075c7ae34119726c1e76d5f54d6bc9e Mon Sep 17 00:00:00 2001
From: Joshua Smith <joshmsmith@gmail.com>
Date: Mon, 14 Apr 2025 11:42:40 -0400
Subject: [PATCH 81/98] minor todo updates

---
 todo.md | 1 +
 1 file changed, 1 insertion(+)

diff --git a/todo.md b/todo.md
index 1c2027a..f67239e 100644
--- a/todo.md
+++ b/todo.md
@@ -9,6 +9,7 @@
 [ ] new loan/fraud check/update with start <br />
 [ ] financial advise - args being freeform customer input about their financial situation, goals
     [ ] tool is maybe a new tool asking the LLM to advise
+
 [ ] LLM failure->autoswitch: <br />
     - detect failure in the activity using failurecount <br />
     - activity switches to secondary LLM defined in .env

From e92e3f43c9693f36f33ea4f92d8d7a8cd3d4efe8 Mon Sep 17 00:00:00 2001
From: Joshua Smith <joshmsmith@gmail.com>
Date: Tue, 15 Apr 2025 11:01:18 -0400
Subject: [PATCH 82/98] changes to make the project more python compliant and
 fix the bug tracker URL

---
 pyproject.toml | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/pyproject.toml b/pyproject.toml
index 00fb129..6f3c4f9 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,5 +1,5 @@
 [tool.poetry]
-name = "temporal-AI-agent"
+name = "temporal_AI_agent"
 version = "0.1.0"
 description = "Temporal AI Agent"
 license = "MIT"
@@ -13,7 +13,7 @@ packages = [
 ]
 
 [tool.poetry.urls]
-"Bug Tracker" = "https://github.com/temporalio/samples-python/issues"
+"Bug Tracker" = "https://github.com/temporal-community/temporal-ai-agent/issues"
 
 [tool.poe.tasks]
 format = [{cmd = "black ."}, {cmd = "isort ."}]

From ac44d35acbd609713bcf119c2c0e088718bf5356 Mon Sep 17 00:00:00 2001
From: Joshua Smith <joshmsmith@gmail.com>
Date: Tue, 15 Apr 2025 16:46:09 -0400
Subject: [PATCH 83/98] changes to .gitignore

---
 .gitignore | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/.gitignore b/.gitignore
index 2d708e1..208ebe6 100644
--- a/.gitignore
+++ b/.gitignore
@@ -31,4 +31,5 @@ coverage.xml
 # PyCharm / IntelliJ settings
 .idea/
 
-.env
\ No newline at end of file
+.env
+.env*
\ No newline at end of file

From 6f9079ba124682f4e44e44d686305b7dabc35913 Mon Sep 17 00:00:00 2001
From: Joshua Smith <joshmsmith@gmail.com>
Date: Wed, 16 Apr 2025 16:23:31 -0400
Subject: [PATCH 84/98] updates to todo

---
 todo.md | 5 +++++
 1 file changed, 5 insertions(+)

diff --git a/todo.md b/todo.md
index f06d42b..da49eb0 100644
--- a/todo.md
+++ b/todo.md
@@ -18,6 +18,11 @@
 
 [ ] new loan/fraud check/update with start <br />
 
+[ ] for demo simulate failure  - add utilities/simulated failures from pipeline demo <br />
+
+[ ] ecommerce goals <br />
+- [ ] add to docs <br />
+- [ ] decide about api key names with Laine <br />
 
 [ ] ask the ai agent how it did at the end of the conversation, was it efficient? successful? insert a search attribute to document that before return <br />
 - Insight into the agent’s performance <br />

From 7b52b8a817b7ed3f1807f1eab95b02c62fb4331b Mon Sep 17 00:00:00 2001
From: Joshua Smith <joshmsmith@gmail.com>
Date: Wed, 16 Apr 2025 16:26:37 -0400
Subject: [PATCH 85/98] adding to todo, gitignore

---
 .gitignore | 1 +
 todo.md    | 1 +
 2 files changed, 2 insertions(+)

diff --git a/.gitignore b/.gitignore
index 4c8f868..c2d2dde 100644
--- a/.gitignore
+++ b/.gitignore
@@ -33,3 +33,4 @@ coverage.xml
 
 .env
 *.env
+.env*
diff --git a/todo.md b/todo.md
index f06d42b..af48f52 100644
--- a/todo.md
+++ b/todo.md
@@ -18,6 +18,7 @@
 
 [ ] new loan/fraud check/update with start <br />
 
+[ ] for demo simulate failure  - add utilities/simulated failures from pipeline demo <br />
 
 [ ] ask the ai agent how it did at the end of the conversation, was it efficient? successful? insert a search attribute to document that before return <br />
 - Insight into the agent’s performance <br />

From e62b105872a376efbb64a4d3c67756c0168d5b38 Mon Sep 17 00:00:00 2001
From: Joshua Smith <joshmsmith@gmail.com>
Date: Thu, 17 Apr 2025 05:23:17 -0400
Subject: [PATCH 86/98] adding to gitignore

---
 .gitignore | 1 +
 1 file changed, 1 insertion(+)

diff --git a/.gitignore b/.gitignore
index 4c8f868..c2d2dde 100644
--- a/.gitignore
+++ b/.gitignore
@@ -33,3 +33,4 @@ coverage.xml
 
 .env
 *.env
+.env*

From 463ae581acaa9ee93fa0eeffdf0aab43624266f3 Mon Sep 17 00:00:00 2001
From: Joshua Smith <joshmsmith@gmail.com>
Date: Thu, 17 Apr 2025 05:32:55 -0400
Subject: [PATCH 87/98] adding .env* stuff to gitignore, fixing a minor docs
 formatting bug

---
 .gitignore | 1 +
 setup.md   | 1 +
 2 files changed, 2 insertions(+)

diff --git a/.gitignore b/.gitignore
index 4c8f868..c2d2dde 100644
--- a/.gitignore
+++ b/.gitignore
@@ -33,3 +33,4 @@ coverage.xml
 
 .env
 *.env
+.env*
diff --git a/setup.md b/setup.md
index a94f989..6a41558 100644
--- a/setup.md
+++ b/setup.md
@@ -204,6 +204,7 @@ FIN_START_REAL_WORKFLOW=FALSE #set this to true to start a real workflow
 By default it will _not_ make a real workflow, it'll just fake it. If you get the worker running and want to start a workflow, in your [.env](./.env):
 ```bash
 FIN_START_REAL_WORKFLOW=FALSE #set this to true to start a real workflow
+```
 
 
 #### Goals: HR/PTO

From 83c6a2454dc24cc5b021cf04a310e27ae32a3c77 Mon Sep 17 00:00:00 2001
From: Joshua Smith <joshmsmith@gmail.com>
Date: Thu, 17 Apr 2025 05:57:55 -0400
Subject: [PATCH 88/98] 1. These aren't the tests you're looking for 2. fixing
 confirmed signal for now

---
 README.md                        |  9 ---------
 workflows/agent_goal_workflow.py | 19 ++++++++++++++-----
 2 files changed, 14 insertions(+), 14 deletions(-)

diff --git a/README.md b/README.md
index 91c8c1a..8a97fc7 100644
--- a/README.md
+++ b/README.md
@@ -48,13 +48,4 @@ See [the guide to adding goals and tools](./adding-goals-and-tools.md) for more
 ## For Temporal SAs
 Check out the [slides](https://docs.google.com/presentation/d/1wUFY4v17vrtv8llreKEBDPLRtZte3FixxBUn0uWy5NU/edit#slide=id.g3333e5deaa9_0_0) here and the enablement guide here (TODO).
 
-## Tests
 
-Running the tests requires `poe` and `pytest_asyncio` to be installed.
-
-    python -m pip install poethepoet
-    python -m pip install pytest_asyncio
-
-Once you have `poe` and `pytest_asyncio` installed you can run:
-
-    poe test
diff --git a/workflows/agent_goal_workflow.py b/workflows/agent_goal_workflow.py
index 083332b..78c737d 100644
--- a/workflows/agent_goal_workflow.py
+++ b/workflows/agent_goal_workflow.py
@@ -215,6 +215,13 @@ class AgentGoalWorkflow:
         workflow.logger.info("Received user signal: confirmation")
         self.confirmed = True
 
+    #Signal that comes from api/main.py via a post to /confirm
+    @workflow.signal
+    async def confirm(self) -> None:
+        """Signal handler for user confirmation of tool execution."""
+        workflow.logger.info("Received user signal: confirmation")
+        self.confirmed = True
+
     #Signal that comes from api/main.py via a post to /end-chat
     @workflow.signal
     async def end_chat(self) -> None:
@@ -362,9 +369,11 @@ class AgentGoalWorkflow:
     # also don't forget you can look at the workflow itself and do queries if you want
     def print_useful_workflow_vars(self, status_or_step:str) -> None:
         print(f"***{status_or_step}:***")
-        print(f"force confirm? {self.tool_data['force_confirm']}")
-        print(f"next step: {self.tool_data.get('next')}")
-        print(f"current_tool: {self.tool_data.get('tool')}")
-        print(f"self.confirm: {self.confirmed}")
-        print(f"waiting_for_confirm (about to be set to true): {self.waiting_for_confirm}")
+        if self.tool_data:
+            print(f"force confirm? {self.tool_data['force_confirm']}")
+            print(f"next step: {self.tool_data.get('next')}")
+            print(f"current_tool: {self.tool_data.get('tool')}")
+        else:
+            print("no tool data initialized yet")
+        print(f"self.confirmed: {self.confirmed}")
     

From 86a6dfe991aa3d32e3d2c909934f3a57e24cacdb Mon Sep 17 00:00:00 2001
From: Joshua Smith <joshmsmith@gmail.com>
Date: Thu, 17 Apr 2025 06:00:17 -0400
Subject: [PATCH 89/98] renaming signal from confirmed to confirm

---
 workflows/agent_goal_workflow.py | 7 -------
 1 file changed, 7 deletions(-)

diff --git a/workflows/agent_goal_workflow.py b/workflows/agent_goal_workflow.py
index 78c737d..1972547 100644
--- a/workflows/agent_goal_workflow.py
+++ b/workflows/agent_goal_workflow.py
@@ -208,13 +208,6 @@ class AgentGoalWorkflow:
             return
         self.prompt_queue.append(prompt)
 
-    #Signal that comes from api/main.py via a post to /confirm
-    @workflow.signal
-    async def confirmed(self) -> None:
-        """Signal handler for user confirmation of tool execution."""
-        workflow.logger.info("Received user signal: confirmation")
-        self.confirmed = True
-
     #Signal that comes from api/main.py via a post to /confirm
     @workflow.signal
     async def confirm(self) -> None:

From cf55f0eaee5af9d7c4e8b937b8f8e69229baf8f1 Mon Sep 17 00:00:00 2001
From: Joshua Smith <joshmsmith@gmail.com>
Date: Thu, 17 Apr 2025 08:59:15 -0400
Subject: [PATCH 90/98] fixing some post-merge bugs

---
 tools/goal_registry.py | 3 +++
 tools/tool_registry.py | 3 +++
 2 files changed, 6 insertions(+)

diff --git a/tools/goal_registry.py b/tools/goal_registry.py
index c22eb21..f86b59b 100644
--- a/tools/goal_registry.py
+++ b/tools/goal_registry.py
@@ -371,6 +371,9 @@ goal_fin_loan_application = AgentGoal(
             "user_confirmed_tool_run: <user clicks confirm on FinCheckAccountSubmitLoanApproval tool>",
             "tool_result: { 'status': submitted, 'detailed_status': loan application is submitted and initial validation is complete, 'confirmation id': 333421, 'next_step': You'll receive a confirmation for final approval in three business days }",
             "agent: I have submitted your loan application process and the initial validation is successful. Your application ID is 333421. You'll receive a notification for final approval from us in three business days. "
+        ]
+    ),
+)
 
 # ----- E-Commerce Goals ---
 #todo: add goal to list all orders for last X amount of time?
diff --git a/tools/tool_registry.py b/tools/tool_registry.py
index efc3cf3..ed19e63 100644
--- a/tools/tool_registry.py
+++ b/tools/tool_registry.py
@@ -333,6 +333,9 @@ financial_submit_loan_approval = ToolDefinition(
             name="amount",
             type="string",
             description="amount requested for the loan",
+        ),
+    ],
+)
 
 # ----- ECommerce Use Case Tools -----
 ecomm_list_orders = ToolDefinition(

From 247bac0a28528ac21e954c7cfc3b371781c1caa7 Mon Sep 17 00:00:00 2001
From: Laine <lainelminor@gmail.com>
Date: Thu, 17 Apr 2025 09:19:29 -0400
Subject: [PATCH 91/98] Try to fix multiple ListAgents steps

---
 prompts/agent_prompt_generators.py | 2 +-
 tools/goal_registry.py             | 4 ++--
 workflows/agent_goal_workflow.py   | 1 +
 3 files changed, 4 insertions(+), 3 deletions(-)

diff --git a/prompts/agent_prompt_generators.py b/prompts/agent_prompt_generators.py
index 71c9d67..2f9d253 100644
--- a/prompts/agent_prompt_generators.py
+++ b/prompts/agent_prompt_generators.py
@@ -187,7 +187,7 @@ def generate_pick_new_goal_guidance()-> str:
         str: A prompt string prompting the LLM to when to go to pick-new-goal
     """
     if is_multi_goal_mode(): 
-        return 'Next should only be "pick-new-goal" if all tools have been run (use the system prompt to figure that out) or the user explicitly requested to pick a new goal.'
+        return 'Next should only be "pick-new-goal" if all tools have been run (use the system prompt to figure that out) or the user explicitly requested to pick a new goal. If next is "pick-new-goal" the tool should always be "ListAgents"'
     else: 
         return 'Next should never be "pick-new-goal".'
 
diff --git a/tools/goal_registry.py b/tools/goal_registry.py
index bf6cdde..5dea149 100644
--- a/tools/goal_registry.py
+++ b/tools/goal_registry.py
@@ -362,8 +362,8 @@ goal_ecomm_order_status = AgentGoal(
     example_conversation_history="\n ".join(
         [
             "user: I'd like to know the status of my order",
-            "agent: Sure! I can help you out with that. May I have your email address or order number?",
-            "user: email is bob.johnson@emailzzz.com ",
+            "agent: Sure! I can help you out with that. May I have your order number?",
+            "user: 102 ",
             "user_confirmed_tool_run: <user clicks confirm on GetOrderStatus tool>",
             "tool_result: { 'id': '102', 'summary': 'Red Sunglasses', 'email': 'matt.murdock@nelsonmurdock.com', 'status': 'shipped', 'order_date': '2025-04-01', 'last_order_update': '2025-04-06', 'tracking_id': '039813852990618' }",
             "agent: Your order 'Red Sunglasses,' placed April 1, 2025, was shipped on April 6, 2025. Would you like to see the tracking inforation?",
diff --git a/workflows/agent_goal_workflow.py b/workflows/agent_goal_workflow.py
index 083332b..20d1b86 100644
--- a/workflows/agent_goal_workflow.py
+++ b/workflows/agent_goal_workflow.py
@@ -178,6 +178,7 @@ class AgentGoalWorkflow:
                     current_tool = tool_data["tool"] = "ListAgents"
                     waiting_for_confirm = True
                     self.confirmed = True
+                    continue
                 
                 # else if the next step is to be done with the conversation such as if the user requests it via asking to "end conversation"
                 elif next_step == "done":

From 4410f30642d978dea8f4cca3411f8b951cefa2c9 Mon Sep 17 00:00:00 2001
From: Laine <lainelminor@gmail.com>
Date: Thu, 17 Apr 2025 10:09:58 -0400
Subject: [PATCH 92/98] Default to dummy data for tracking package

---
 tools/data/customer_order_data.json |  12 +--
 tools/data/dummy_tracking_data.json | 158 ++++++++++++++++++++++++++++
 tools/ecommerce/get_order.py        |   4 -
 tools/ecommerce/track_package.py    |  42 +++++++-
 tools/goal_registry.py              |   4 +-
 tools/tool_registry.py              |   3 +
 6 files changed, 208 insertions(+), 15 deletions(-)
 create mode 100644 tools/data/dummy_tracking_data.json

diff --git a/tools/data/customer_order_data.json b/tools/data/customer_order_data.json
index 8281351..23294ce 100644
--- a/tools/data/customer_order_data.json
+++ b/tools/data/customer_order_data.json
@@ -23,7 +23,7 @@
             "status": "shipped",
             "order_date": "2025-04-01",
             "last_order_update": "2025-04-01",
-            "tracking_id": "1Z111111" 
+            "tracking_id": "UPS67890"
         },
         {
             "id": "200",
@@ -32,7 +32,7 @@
             "status": "shipped",
             "order_date": "2025-04-03",
             "last_update": "2025-04-06",
-            "tracking_id": "991111" 
+            "tracking_id": "USPS12345" 
         },
         {
             "id": "300",
@@ -41,7 +41,7 @@
             "status": "shipped",
             "order_date": "2025-03-30",
             "last_update": "2025-04-06",
-            "tracking_id": "991111" 
+            "tracking_id": "USPS12345" 
         },
         {
             "id": "301",
@@ -58,7 +58,7 @@
             "status": "delivered",
             "order_date": "2025-04-01",
             "last_update": "2025-04-06",
-            "tracking_id": "1Z11111" 
+            "tracking_id": "UPS67890" 
         },
         {
             "id": "400",
@@ -67,7 +67,7 @@
             "status": "shipped",
             "order_date": "2025-04-03",
             "last_update": "2025-04-09",
-            "tracking_id": "1Z111111" 
+            "tracking_id": "UPS67890" 
         },
         {
             "id": "401",
@@ -76,6 +76,6 @@
             "status": "processing",
             "order_date": "2025-04-03",
             "last_update": "2025-04-09" 
-        }        
+        }
     ]
 }
\ No newline at end of file
diff --git a/tools/data/dummy_tracking_data.json b/tools/data/dummy_tracking_data.json
new file mode 100644
index 0000000..17dc30a
--- /dev/null
+++ b/tools/data/dummy_tracking_data.json
@@ -0,0 +1,158 @@
+{ 
+    "packages": [
+        {
+            "TrackingNumber": "USPS12345",
+            "Delivered": false,
+            "Carrier": "USPS",
+            "ServiceType": "USPS Ground Advantage<SUP>&#153;</SUP>",
+            "PickupDate": "",
+            "ScheduledDeliveryDate": "April 14, 2025",
+            "ScheduledDeliveryDateInDateTimeFromat": "2025-04-14T00:00:00",
+            "StatusCode": "In Transit from Origin Processing",
+            "Status": "Departed Post Office",
+            "StatusSummary": "Your item has left our acceptance facility and is in transit to a sorting facility on April 10, 2025 at 7:06 am in IRON RIDGE, WI 53035.",
+            "Message": "",
+            "DeliveredDateTime": "",
+            "DeliveredDateTimeInDateTimeFormat": null,
+            "SignatureName": "",
+            "DestinationCity": "CITY",
+            "DestinationState": "ST",
+            "DestinationZip": "12345",
+            "DestinationCountry": null,
+            "EventDate": "2025-04-10T07:06:00",
+            "TrackingDetails": [
+                {
+                    "EventDateTime": "April 10, 2025 7:06 am",
+                    "Event": "Departed Post Office",
+                    "EventAddress": "IRON RIDGE WI 53035",
+                    "State": "WI",
+                    "City": "IRON RIDGE",
+                    "Zip": "53035",
+                    "EventDateTimeInDateTimeFormat": "2025-04-10T07:06:00"
+                },
+                {
+                    "EventDateTime": "April 9, 2025 11:29 am",
+                    "Event": "USPS picked up item",
+                    "EventAddress": "IRON RIDGE WI 53035",
+                    "State": "WI",
+                    "City": "IRON RIDGE",
+                    "Zip": "53035",
+                    "EventDateTimeInDateTimeFormat": "2025-04-09T11:29:00"
+                },
+                {
+                    "EventDateTime": "April 7, 2025 6:29 am",
+                    "Event": "Shipping Label Created, USPS Awaiting Item",
+                    "EventAddress": "IRON RIDGE WI 53035",
+                    "State": "WI",
+                    "City": "IRON RIDGE",
+                    "Zip": "53035",
+                    "EventDateTimeInDateTimeFormat": "2025-04-07T06:29:00"
+                }
+            ]
+        },
+        {
+            "TrackingNumber": "UPS67890",
+            "Delivered": true,
+            "Carrier": "UPS",
+            "ServiceType": "UPS Ground Saver®",
+            "PickupDate": "",
+            "ScheduledDeliveryDate": "",
+            "ScheduledDeliveryDateInDateTimeFromat": null,
+            "StatusCode": "D",
+            "Status": "DELIVERED",
+            "StatusSummary": "DELIVERED",
+            "Message": "",
+            "DeliveredDateTime": "20250415 154315",
+            "DeliveredDateTimeInDateTimeFormat": "2025-04-15T15:43:15",
+            "SignatureName": "",
+            "DestinationCity": "CHICAGO",
+            "DestinationState": "IL",
+            "DestinationZip": "",
+            "DestinationCountry": "US",
+            "EventDate": "2025-04-15T15:43:15",
+            "TrackingDetails": [
+                {
+                    "EventDateTime": "20250415 154315",
+                    "Event": "DELIVERED ",
+                    "EventAddress": "CHICAGO IL US",
+                    "State": "IL",
+                    "City": "CHICAGO",
+                    "Zip": null,
+                    "EventDateTimeInDateTimeFormat": "2025-04-15T15:43:15"
+                },
+                {
+                    "EventDateTime": "20250415 090938",
+                    "Event": "Out For Delivery Today",
+                    "EventAddress": "Chicago IL US",
+                    "State": "IL",
+                    "City": "Chicago",
+                    "Zip": null,
+                    "EventDateTimeInDateTimeFormat": "2025-04-15T09:09:38"
+                },
+                {
+                    "EventDateTime": "20250415 074141",
+                    "Event": "Loaded on Delivery Vehicle ",
+                    "EventAddress": "Chicago IL US",
+                    "State": "IL",
+                    "City": "Chicago",
+                    "Zip": null,
+                    "EventDateTimeInDateTimeFormat": "2025-04-15T07:41:41"
+                },
+                {
+                    "EventDateTime": "20250415 032200",
+                    "Event": "Arrived at Facility",
+                    "EventAddress": "Chicago IL US",
+                    "State": "IL",
+                    "City": "Chicago",
+                    "Zip": null,
+                    "EventDateTimeInDateTimeFormat": "2025-04-15T03:22:00"
+                },
+                {
+                    "EventDateTime": "20250414 223000",
+                    "Event": "Departed from Facility",
+                    "EventAddress": "Hodgkins IL US",
+                    "State": "IL",
+                    "City": "Hodgkins",
+                    "Zip": null,
+                    "EventDateTimeInDateTimeFormat": "2025-04-14T22:30:00"
+                },
+                {
+                    "EventDateTime": "20250414 002700",
+                    "Event": "Arrived at Facility",
+                    "EventAddress": "Hodgkins IL US",
+                    "State": "IL",
+                    "City": "Hodgkins",
+                    "Zip": null,
+                    "EventDateTimeInDateTimeFormat": "2025-04-14T00:27:00"
+                },
+                {
+                    "EventDateTime": "20250410 211700",
+                    "Event": "Departed from Facility",
+                    "EventAddress": "Las Vegas NV US",
+                    "State": "NV",
+                    "City": "Las Vegas",
+                    "Zip": null,
+                    "EventDateTimeInDateTimeFormat": "2025-04-10T21:17:00"
+                },
+                {
+                    "EventDateTime": "20250410 132625",
+                    "Event": "Arrived at Facility",
+                    "EventAddress": "Las Vegas NV US",
+                    "State": "NV",
+                    "City": "Las Vegas",
+                    "Zip": null,
+                    "EventDateTimeInDateTimeFormat": "2025-04-10T13:26:25"
+                },
+                {
+                    "EventDateTime": "20250409 100659",
+                    "Event": "Shipper created a label, UPS has not received the package yet. ",
+                    "EventAddress": "  US",
+                    "State": null,
+                    "City": null,
+                    "Zip": null,
+                    "EventDateTimeInDateTimeFormat": "2025-04-09T10:06:59"
+                }
+            ]
+        }
+    ]
+}
\ No newline at end of file
diff --git a/tools/ecommerce/get_order.py b/tools/ecommerce/get_order.py
index 5634b7a..c796cec 100644
--- a/tools/ecommerce/get_order.py
+++ b/tools/ecommerce/get_order.py
@@ -18,10 +18,6 @@ def get_order(args: dict) -> dict:
     for order in order_list:
         if order["id"] == order_id:
             return order
-#            if order["status"] == "shipped":
- #               return{"status": order["status"], "tracking_id": order["tracking_id"]}
-  #          else:
-   #             return{"status": order["status"]}
         
     return_msg = "Order " + order_id + " not found."
     return {"error": return_msg}
\ No newline at end of file
diff --git a/tools/ecommerce/track_package.py b/tools/ecommerce/track_package.py
index 55b14fd..05d67e8 100644
--- a/tools/ecommerce/track_package.py
+++ b/tools/ecommerce/track_package.py
@@ -2,12 +2,46 @@ import http
 import os
 import json
 
-def track_package_faked(args: dict) -> dict:
+from pathlib import Path
+
+#Send back dummy data in the correct format - to use the real API, 1) change this to be track_package_fake and 2) change the below track_package_real to be track_package 
+def track_package(args: dict) -> dict:
     
     tracking_id = args.get("tracking_id")
+    file_path = Path(__file__).resolve().parent.parent / "data" / "dummy_tracking_data.json"
+    if not file_path.exists():
+        return {"error": "Data file not found."}
+    
+    with open(file_path, "r") as file:
+        data = json.load(file)
+    package_list = data["packages"]
+
+    for package in package_list:
+        if package["TrackingNumber"] == tracking_id:
+                scheduled_delivery_date = package["ScheduledDeliveryDate"]
+                carrier = package["Carrier"]
+                status_summary = package["StatusSummary"]
+                tracking_details = package.get("TrackingDetails", [])
+                last_tracking_update = ""
+                if tracking_details and tracking_details is not None and tracking_details[0] is not None:
+                    last_tracking_update = tracking_details[0]["EventDateTimeInDateTimeFormat"]
+                
+                tracking_link = ""
+                if carrier == "USPS":
+                    tracking_link = f"https://tools.usps.com/go/TrackConfirmAction?qtc_tLabels1={tracking_id}"
+                elif carrier == "UPS":
+                    tracking_link = f"https://www.ups.com/track?track=yes&trackNums={tracking_id}"
+
+                return {
+                    "scheduled_delivery_date": scheduled_delivery_date,
+                    "carrier": carrier,
+                    "status_summary": status_summary,
+                    "tracking_link": tracking_link,
+                    "last_tracking_update": last_tracking_update
+                }
  
-    #return_msg = "Account not found with email address " + email + " or account ID: " + account_id
-    return {"tracking_info": "delivered, probably"}
+    return_msg = "Package not found with tracking info " + tracking_id
+    return {"error": return_msg}
 
 '''Format of response:
 {
@@ -61,7 +95,7 @@ def track_package_faked(args: dict) -> dict:
     ]
 }
 '''
-def track_package(args: dict) -> dict:
+def track_package_real(args: dict) -> dict:
 
     tracking_id = args.get("tracking_id")
 
diff --git a/tools/goal_registry.py b/tools/goal_registry.py
index a164498..a29e9d2 100644
--- a/tools/goal_registry.py
+++ b/tools/goal_registry.py
@@ -371,7 +371,9 @@ goal_fin_loan_application = AgentGoal(
             "user_confirmed_tool_run: <user clicks confirm on FinCheckAccountSubmitLoanApproval tool>",
             "tool_result: { 'status': submitted, 'detailed_status': loan application is submitted and initial validation is complete, 'confirmation id': 333421, 'next_step': You'll receive a confirmation for final approval in three business days }",
             "agent: I have submitted your loan application process and the initial validation is successful. Your application ID is 333421. You'll receive a notification for final approval from us in three business days. "
-
+        ]
+    ),
+)
 # ----- E-Commerce Goals ---
 #todo: add goal to list all orders for last X amount of time?
 # this tool checks account balances, and uses ./data/customer_account_data.json as dummy data
diff --git a/tools/tool_registry.py b/tools/tool_registry.py
index efc3cf3..ed19e63 100644
--- a/tools/tool_registry.py
+++ b/tools/tool_registry.py
@@ -333,6 +333,9 @@ financial_submit_loan_approval = ToolDefinition(
             name="amount",
             type="string",
             description="amount requested for the loan",
+        ),
+    ],
+)
 
 # ----- ECommerce Use Case Tools -----
 ecomm_list_orders = ToolDefinition(

From 32e856e494416d999d84222795ac1837689b29a7 Mon Sep 17 00:00:00 2001
From: Joshua Smith <joshmsmith@gmail.com>
Date: Thu, 17 Apr 2025 15:20:17 -0400
Subject: [PATCH 93/98] fixing second goal selection loop with prompts

---
 prompts/agent_prompt_generators.py |  2 +-
 workflows/agent_goal_workflow.py   | 12 ++++++++++--
 2 files changed, 11 insertions(+), 3 deletions(-)

diff --git a/prompts/agent_prompt_generators.py b/prompts/agent_prompt_generators.py
index 2f9d253..5e247f8 100644
--- a/prompts/agent_prompt_generators.py
+++ b/prompts/agent_prompt_generators.py
@@ -187,7 +187,7 @@ def generate_pick_new_goal_guidance()-> str:
         str: A prompt string prompting the LLM to when to go to pick-new-goal
     """
     if is_multi_goal_mode(): 
-        return 'Next should only be "pick-new-goal" if all tools have been run (use the system prompt to figure that out) or the user explicitly requested to pick a new goal. If next is "pick-new-goal" the tool should always be "ListAgents"'
+        return 'Next should only be "pick-new-goal" if all tools have been run for the current goal (use the system prompt to figure that out) or the user explicitly requested to pick a new goal. If next is "pick-new-goal" the tool should always be "ListAgents"'
     else: 
         return 'Next should never be "pick-new-goal".'
 
diff --git a/workflows/agent_goal_workflow.py b/workflows/agent_goal_workflow.py
index aaee3c5..8f9cd5d 100644
--- a/workflows/agent_goal_workflow.py
+++ b/workflows/agent_goal_workflow.py
@@ -177,8 +177,16 @@ class AgentGoalWorkflow:
                     next_step = tool_data["next"] = "confirm"
                     current_tool = tool_data["tool"] = "ListAgents"
                     waiting_for_confirm = True
-                    self.confirmed = True
-                    continue
+                    self.tool_data = tool_data
+                    if self.show_tool_args_confirmation:
+                        self.confirmed = False 
+                    # if we have all needed arguments (handled above) and not holding for a debugging confirm, proceed:
+                    else:
+                        self.confirmed = True
+                    #self.print_useful_workflow_vars("before adding agent message<-- tool data")
+                    # maybe want to do this sometimes? for now it loops self.add_message("agent", tool_data)
+                    self.print_useful_workflow_vars("after pick-new-goal")
+                    continue # try with this out
                 
                 # else if the next step is to be done with the conversation such as if the user requests it via asking to "end conversation"
                 elif next_step == "done":

From d48dafcaa54fc8397f6feafa67f15551947ee54a Mon Sep 17 00:00:00 2001
From: Joshua Smith <joshmsmith@gmail.com>
Date: Fri, 18 Apr 2025 17:08:44 -0400
Subject: [PATCH 94/98] - fixes for multi-goal:post first real goal goal
 switch: duplicate listagents behavior from the toolplanner - adding ecommerce
 initial guidance - fixed new-goal guidance prompts for multi-goal mode -
 (minor) fixed abug in money movement so it won't connect to temporal cloud if
 it's not doing a real workflow - (minor) fixed abug in loan application so it
 won't connect to temporal cloud if it's not doing a real workflow - some todo
 notes cleanup

---
 prompts/agent_prompt_generators.py   |  2 +-
 setup.md                             |  3 ++
 todo.md                              |  6 ++--
 tools/fin/move_money.py              |  4 +--
 tools/fin/submit_loan_application.py |  4 +--
 tools/goal_registry.py               |  5 ++-
 workflows/agent_goal_workflow.py     | 46 ++++++++++++++++++----------
 7 files changed, 42 insertions(+), 28 deletions(-)

diff --git a/prompts/agent_prompt_generators.py b/prompts/agent_prompt_generators.py
index 5e247f8..aaa3844 100644
--- a/prompts/agent_prompt_generators.py
+++ b/prompts/agent_prompt_generators.py
@@ -187,7 +187,7 @@ def generate_pick_new_goal_guidance()-> str:
         str: A prompt string prompting the LLM to when to go to pick-new-goal
     """
     if is_multi_goal_mode(): 
-        return 'Next should only be "pick-new-goal" if all tools have been run for the current goal (use the system prompt to figure that out) or the user explicitly requested to pick a new goal. If next is "pick-new-goal" the tool should always be "ListAgents"'
+        return 'Next should only be "pick-new-goal" if all tools have been run for the current goal (use the system prompt to figure that out) and the last successful tool was not ListAgents, or the user explicitly requested to pick a new goal.'
     else: 
         return 'Next should never be "pick-new-goal".'
 
diff --git a/setup.md b/setup.md
index 6a41558..32c7f3c 100644
--- a/setup.md
+++ b/setup.md
@@ -210,6 +210,9 @@ FIN_START_REAL_WORKFLOW=FALSE #set this to true to start a real workflow
 #### Goals: HR/PTO
 Make sure you have the mock users you want in (such as yourself) in [the PTO mock data file](./tools/data/employee_pto_data.json).
 
+#### Goals: Ecommerce
+Make sure you have the mock orders you want in (such as those with real tracking numbers) in [the mock orders file](./tools/data/customer_order_data.json).
+
 
 ## Customizing the Agent Further
 - `tool_registry.py` contains the mapping of tool names to tool definitions (so the AI understands how to use them)
diff --git a/todo.md b/todo.md
index 00ad1d0..42c03cf 100644
--- a/todo.md
+++ b/todo.md
@@ -12,9 +12,9 @@
 
 [ ] for demo simulate failure  - add utilities/simulated failures from pipeline demo <br />
 
-[ ] ecommerce goals <br />
-- [ ] add to docs <br />
-- [ ] decide about api key names with Laine <br />
+[x] ecommerce goals <br />
+- [x] add to docs <br />
+- [x] decide about api key names with Laine <br />
 
 [ ] LLM failure->autoswitch: <br />
     - detect failure in the activity using failurecount <br />
diff --git a/tools/fin/move_money.py b/tools/fin/move_money.py
index f9569b7..7c0ca5f 100644
--- a/tools/fin/move_money.py
+++ b/tools/fin/move_money.py
@@ -77,8 +77,6 @@ async def move_money(args: dict) -> dict:
 # Async function to start workflow
 async def start_workflow(amount_cents: int, from_account_name: str, to_account_name: str)-> str:
  
-    # Connect to Temporal 
-    client = await get_temporal_client()
     start_real_workflow = os.getenv("FIN_START_REAL_WORKFLOW")
     if start_real_workflow is not None and start_real_workflow.lower() == "false":
         START_REAL_WORKFLOW = False
@@ -86,6 +84,8 @@ async def start_workflow(amount_cents: int, from_account_name: str, to_account_n
         START_REAL_WORKFLOW = True
     
     if START_REAL_WORKFLOW:
+        # Connect to Temporal 
+        client = await get_temporal_client()
         # Create the parameter object
         params = MoneyMovementWorkflowParameterObj(
             amount=amount_cents,  
diff --git a/tools/fin/submit_loan_application.py b/tools/fin/submit_loan_application.py
index 4093ec0..8e6771d 100644
--- a/tools/fin/submit_loan_application.py
+++ b/tools/fin/submit_loan_application.py
@@ -46,14 +46,14 @@ async def submit_loan_application(args: dict) -> dict:
 # Async function to start workflow
 async def start_workflow(amount: str, account_name: str, )-> dict:
  
-    # Connect to Temporal 
-    client = await get_temporal_client()
     start_real_workflow = os.getenv("FIN_START_REAL_WORKFLOW")
     if start_real_workflow is not None and start_real_workflow.lower() == "false":
         START_REAL_WORKFLOW = False
         return {'loan_application_status': "applied", 'application_details': "loan application is submitted and initial validation is complete",'transaction_id': "APPLICATION"+account_name, 'advisement': "You'll receive a confirmation for final approval in three business days", }  
     else:
         START_REAL_WORKFLOW = True
+         # Connect to Temporal 
+        client = await get_temporal_client()
     
         # Define the workflow ID and task queue
         workflow_id = "LOAN_APPLICATION-"+account_name+"-"+date.today().strftime('%Y-%m-%d')
diff --git a/tools/goal_registry.py b/tools/goal_registry.py
index a29e9d2..294036e 100644
--- a/tools/goal_registry.py
+++ b/tools/goal_registry.py
@@ -345,7 +345,7 @@ goal_fin_move_money = AgentGoal(
 )
 
 # this starts a loan approval process
-# it also uses a separate workflow/tool, see ./setup.md for details #todo
+# it also uses a separate workflow/tool, see ./setup.md for details 
 goal_fin_loan_application = AgentGoal(
     id = "goal_fin_loan_application",
     category_tag="fin",
@@ -353,7 +353,7 @@ goal_fin_loan_application = AgentGoal(
     agent_friendly_description="Initiate loan application.",   
     tools=[
         tool_registry.financial_check_account_is_valid,
-        tool_registry.financial_submit_loan_approval, #todo 
+        tool_registry.financial_submit_loan_approval, 
     ],
     description="The user wants to apply for a loan at the financial institution. To assist with that goal, help the user gather args for these tools in order: "
     "1. FinCheckAccountIsValid: validate the user's account is valid"
@@ -375,7 +375,6 @@ goal_fin_loan_application = AgentGoal(
     ),
 )
 # ----- E-Commerce Goals ---
-#todo: add goal to list all orders for last X amount of time?
 # this tool checks account balances, and uses ./data/customer_account_data.json as dummy data
 goal_ecomm_order_status = AgentGoal(
     id = "goal_ecomm_order_status",
diff --git a/workflows/agent_goal_workflow.py b/workflows/agent_goal_workflow.py
index 8f9cd5d..3b2757b 100644
--- a/workflows/agent_goal_workflow.py
+++ b/workflows/agent_goal_workflow.py
@@ -172,21 +172,33 @@ class AgentGoalWorkflow:
 
                 # else if the next step is to pick a new goal, set the goal and tool to do it
                 elif next_step == "pick-new-goal":
-                    workflow.logger.info("All steps completed. Resetting goal.")
-                    self.change_goal("goal_choose_agent_type")
-                    next_step = tool_data["next"] = "confirm"
-                    current_tool = tool_data["tool"] = "ListAgents"
-                    waiting_for_confirm = True
-                    self.tool_data = tool_data
-                    if self.show_tool_args_confirmation:
-                        self.confirmed = False 
-                    # if we have all needed arguments (handled above) and not holding for a debugging confirm, proceed:
+                    if self.goal.id != "goal_choose_agent_type":
+                        self.add_message("agent", tool_data)
+                        workflow.logger.info("All tools completed and new Agent Goal recommended. Resetting goal.")
+                        self.change_goal("goal_choose_agent_type")
+                        next_step = tool_data["next"] = "confirm"
+                        current_tool = tool_data["tool"] = "ListAgents"
+                        waiting_for_confirm = True
+                        self.tool_data = tool_data
+                        if self.show_tool_args_confirmation:
+                            self.confirmed = False 
+                        # if we have all needed arguments (handled above) and not holding for a debugging confirm, proceed:
+                        else:
+                            self.confirmed = True
+                        continue 
                     else:
-                        self.confirmed = True
-                    #self.print_useful_workflow_vars("before adding agent message<-- tool data")
-                    # maybe want to do this sometimes? for now it loops self.add_message("agent", tool_data)
-                    self.print_useful_workflow_vars("after pick-new-goal")
-                    continue # try with this out
+                        if not current_tool == "ListAgents":
+                            current_tool = tool_data["tool"] = "ListAgents"
+                            waiting_for_confirm = True
+                            
+                            self.tool_data = tool_data
+                            next_step = tool_data["next"] = "confirm"
+                            if self.show_tool_args_confirmation:
+                                self.confirmed = False 
+                            # if we have all needed arguments (handled above) and not holding for a debugging confirm, proceed:
+                            else:
+                                self.confirmed = True
+
                 
                 # else if the next step is to be done with the conversation such as if the user requests it via asking to "end conversation"
                 elif next_step == "done":
@@ -357,14 +369,12 @@ class AgentGoalWorkflow:
             self.prompt_queue
         )
 
-        #set new goal if we should
+        # set new goal if we should
         if len(self.tool_results) > 0:
             if "ChangeGoal" in self.tool_results[-1].values() and "new_goal" in self.tool_results[-1].keys():
                 new_goal = self.tool_results[-1].get("new_goal")
-                workflow.logger.info(f"Booya new goal!: {new_goal}")
                 self.change_goal(new_goal)
             elif "ListAgents" in self.tool_results[-1].values() and self.goal.id != "goal_choose_agent_type":
-                workflow.logger.info("setting goal to goal_choose_agent_type")
                 self.change_goal("goal_choose_agent_type")
         return waiting_for_confirm
         
@@ -372,6 +382,8 @@ class AgentGoalWorkflow:
     # also don't forget you can look at the workflow itself and do queries if you want
     def print_useful_workflow_vars(self, status_or_step:str) -> None:
         print(f"***{status_or_step}:***")
+        if self.goal:
+            print(f"current goal: {self.goal.id}")
         if self.tool_data:
             print(f"force confirm? {self.tool_data['force_confirm']}")
             print(f"next step: {self.tool_data.get('next')}")

From 2a1624f621c30cb57dfd467b9b5ce0e81dc661f8 Mon Sep 17 00:00:00 2001
From: Joshua Smith <joshmsmith@gmail.com>
Date: Mon, 21 Apr 2025 09:55:45 -0400
Subject: [PATCH 95/98] back to claud 3.5 prompts and adding list-agents
 automatically in goal registry fixing some finserv tool args

---
 activities/tool_activities.py        |  4 ++--
 tools/fin/get_account_balances.py    |  2 +-
 tools/fin/move_money.py              |  2 +-
 tools/fin/submit_loan_application.py |  2 +-
 tools/goal_registry.py               | 29 ++++++++++++++++++++++------
 tools/tool_registry.py               |  6 +++---
 6 files changed, 31 insertions(+), 14 deletions(-)

diff --git a/activities/tool_activities.py b/activities/tool_activities.py
index 9d466bc..1b8d0b3 100644
--- a/activities/tool_activities.py
+++ b/activities/tool_activities.py
@@ -370,8 +370,8 @@ class ToolActivities:
             print("Initialized Anthropic client on demand")
 
         response = self.anthropic_client.messages.create(
-            #model="claude-3-5-sonnet-20241022",  # todo try claude-3-7-sonnet-20250219
-            model="claude-3-7-sonnet-20250219",  # todo try claude-3-7-sonnet-20250219
+            model="claude-3-5-sonnet-20241022",  
+            #model="claude-3-7-sonnet-20250219",  # doesn't do as well
             max_tokens=1024,
             system=input.context_instructions
             + ". The current date is "
diff --git a/tools/fin/get_account_balances.py b/tools/fin/get_account_balances.py
index be0854c..2c9ad2c 100644
--- a/tools/fin/get_account_balances.py
+++ b/tools/fin/get_account_balances.py
@@ -5,7 +5,7 @@ import json
 # this assumes it's a valid account - use check_account_valid() to verify that first
 def get_account_balance(args: dict) -> dict:
     
-    account_key = args.get("accountkey")
+    account_key = args.get("email_address_or_account_ID")
 
     file_path = Path(__file__).resolve().parent.parent / "data" / "customer_account_data.json"
     if not file_path.exists():
diff --git a/tools/fin/move_money.py b/tools/fin/move_money.py
index f9569b7..e05b6e8 100644
--- a/tools/fin/move_money.py
+++ b/tools/fin/move_money.py
@@ -31,7 +31,7 @@ class MoneyMovementWorkflowParameterObj:
 # this assumes it's a valid account - use check_account_valid() to verify that first
 async def move_money(args: dict) -> dict:
     
-    account_key = args.get("accountkey")
+    account_key = args.get("email_address_or_account_ID")
     account_type: str = args.get("accounttype")
     amount = args.get("amount")
     destinationaccount = args.get("destinationaccount")
diff --git a/tools/fin/submit_loan_application.py b/tools/fin/submit_loan_application.py
index 4093ec0..41b59e4 100644
--- a/tools/fin/submit_loan_application.py
+++ b/tools/fin/submit_loan_application.py
@@ -31,7 +31,7 @@ class TxResult:
 
 #demonstrate starting a workflow and early return pattern while the workflow continues
 async def submit_loan_application(args: dict) -> dict:
-    account_key = args.get("accountkey")
+    account_key = args.get("email_address_or_account_ID")
     amount = args.get("amount")
 
     loan_status: dict = await start_workflow(amount=amount,account_name=account_key)
diff --git a/tools/goal_registry.py b/tools/goal_registry.py
index f86b59b..697f104 100644
--- a/tools/goal_registry.py
+++ b/tools/goal_registry.py
@@ -1,3 +1,4 @@
+import os
 from typing import List
 from models.tool_definitions import AgentGoal
 import tools.tool_registry as tool_registry
@@ -33,14 +34,14 @@ goal_choose_agent_type = AgentGoal(
         "1. ListAgents: List agents available to interact with. Do not ask for user confirmation for this tool. "
         "2. ChangeGoal: Change goal of agent "
         "After these tools are complete, change your goal to the new goal as chosen by the user. ",
-    starter_prompt=starter_prompt_generic + " Begin by listing all details of all agents as provided by the output of the first tool included in this goal. ",
+    starter_prompt="Welcome me, give me a description of what you can do, then ask me for the details you need to do your job. Listi all details of all agents as provided by the output of the first tool included in this goal. ",
     example_conversation_history="\n ".join(
         [
             "agent: Here are the currently available agents.",
-            "user_confirmed_tool_run: <user clicks confirm on ListAgents tool>",
-            "tool_result: { 'agent_name': 'Event Flight Finder', 'goal_id': 'goal_event_flight_invoice', 'agent_description': 'Helps users find interesting events and arrange travel to them' }",
-            "agent: The available agents are: 1. Event Flight Finder. \n Which agent would you like to speak to? (You can respond with name or number.)",
-            "user: 1, Event Flight Finder",
+            "tool_result: { agents: 'agent_name': 'Event Flight Finder', 'goal_id': 'goal_event_flight_invoice', 'agent_description': 'Helps users find interesting events and arrange travel to them',"
+            "'agent_name': 'Schedule PTO', 'goal_id': 'goal_hr_schedule_pto', 'agent_description': 'Schedule PTO based on your available PTO.' }",
+            "agent: The available agents are: Event Flight Finder and Schedule PTO. \n Which agent would you like to speak to? ",
+            "user: I'd like to find an event and book flights using the Event Flight Finder",
             "user_confirmed_tool_run: <user clicks confirm on ChangeGoal tool>",
             "tool_result: { 'new_goal': 'goal_event_flight_invoice' }",
         ]
@@ -288,7 +289,7 @@ goal_fin_check_account_balances = AgentGoal(
     example_conversation_history="\n ".join(
         [
             "user: I'd like to check my account balances",
-            "agent: Sure! I can help you out with that. May I have your email address or account number?",
+            "agent: Sure! I can help you out with that. May I have your email address and account number?",
             "user: email is bob.johnson@emailzzz.com ",
             "user_confirmed_tool_run: <user clicks confirm on FincheckAccountIsValid tool>",
             "tool_result: { 'status': account valid }",
@@ -466,3 +467,19 @@ goal_list.append(goal_fin_loan_application)
 goal_list.append(goal_ecomm_list_orders)
 goal_list.append(goal_ecomm_order_status)
 
+
+# for multi-goal, just set list agents as the last tool
+first_goal_value = os.getenv("AGENT_GOAL")
+if first_goal_value is None:
+    multi_goal_mode = True # default if unset
+elif first_goal_value is not None and first_goal_value.lower() != "goal_choose_agent_type":
+    multi_goal_mode = False
+else:
+    multi_goal_mode = True
+
+if multi_goal_mode:
+    for goal in goal_list:
+        if any(goal.tools.name == "ListAgents" for goal in goal_list):
+            continue
+        else:
+            goal.tools.append(tool_registry.list_agents_tool)
\ No newline at end of file
diff --git a/tools/tool_registry.py b/tools/tool_registry.py
index ed19e63..1d11e65 100644
--- a/tools/tool_registry.py
+++ b/tools/tool_registry.py
@@ -281,7 +281,7 @@ financial_get_account_balances = ToolDefinition(
     
     arguments=[
         ToolArgument(
-            name="accountkey",
+            name="email_address_or_account_ID",
             type="string",
             description="email address or account ID of user",
         ),
@@ -295,7 +295,7 @@ financial_move_money = ToolDefinition(
     
     arguments=[
         ToolArgument(
-            name="accountkey",
+            name="email_address_or_account_ID",
             type="string",
             description="email address or account ID of user",
         ),
@@ -325,7 +325,7 @@ financial_submit_loan_approval = ToolDefinition(
     
     arguments=[
         ToolArgument(
-            name="accountkey",
+            name="email_address_or_account_ID",
             type="string",
             description="email address or account ID of user",
         ),  

From 823208db3cce547f9035c8d167e51493916496ac Mon Sep 17 00:00:00 2001
From: Joshua Smith <joshmsmith@gmail.com>
Date: Tue, 22 Apr 2025 12:22:42 -0400
Subject: [PATCH 96/98] - adding Steve's updated confirm box UI - goal prompts
 and agent changes to smooth out that interaction and remove listagents
 duplication adding extra confirmation for money movement tool

---
 frontend/src/components/ConfirmInline.jsx | 196 ++++++++++++++++------
 prompts/agent_prompt_generators.py        |   2 +-
 todo.md                                   |  11 +-
 tools/goal_registry.py                    |  28 ++--
 tools/tool_registry.py                    |  12 +-
 workflows/agent_goal_workflow.py          |  32 +---
 6 files changed, 177 insertions(+), 104 deletions(-)

diff --git a/frontend/src/components/ConfirmInline.jsx b/frontend/src/components/ConfirmInline.jsx
index c126fee..6e9d876 100644
--- a/frontend/src/components/ConfirmInline.jsx
+++ b/frontend/src/components/ConfirmInline.jsx
@@ -1,65 +1,153 @@
-import React, { memo } from "react";
+import React, { memo, useState } from "react";
 
+/** Inline SVG icons so we don’t need an extra library */
+const PlayIcon = ({ className }) => (
+  <svg
+    xmlns="http://www.w3.org/2000/svg"
+    viewBox="0 0 24 24"
+    fill="currentColor"
+    className={className}
+    aria-hidden="true"
+  >
+    <path d="M5 3.868v16.264c0 1.04 1.12 1.675 2.025 1.16l13.11-8.132a1.33 1.33 0 000-2.256L7.025 2.773C6.12 2.259 5 2.894 5 3.934z" />
+  </svg>
+);
+
+const SpinnerIcon = ({ className }) => (
+  <svg
+    xmlns="http://www.w3.org/2000/svg"
+    viewBox="0 0 24 24"
+    fill="none"
+    stroke="currentColor"
+    strokeWidth="2"
+    strokeLinecap="round"
+    strokeLinejoin="round"
+    className={`animate-spin ${className}`}
+    aria-hidden="true"
+  >
+    <circle cx="12" cy="12" r="10" strokeOpacity="0.25" />
+    <path d="M22 12a10 10 0 00-10-10" />
+  </svg>
+);
+
+/**
+ * User‑friendly confirmation card that surfaces tool invocation details
+ * without developer jargon.  Tweaks include:
+ *  • Left green accent‑border + compact heading (visual hierarchy)
+ *  • Collapsible arg list & array support (argument‑list UX)
+ *  • Mobile‑first, pulsing confirm button (button affordance)
+ */
 const ConfirmInline = memo(({ data, confirmed, onConfirm }) => {
-    const { args, tool } = data || {};
+  const { args = {}, tool } = data || {};
 
-    const renderArgs = () => {
-        if (!args) return null;
-        
-        return (
-            <div className="mt-1">
-                <strong>Args:</strong>
-                <pre className="bg-gray-100 dark:bg-gray-700 p-1 rounded text-sm whitespace-pre-wrap overflow-x-auto">
-                    {JSON.stringify(args, null, 2)}
-                </pre>
-            </div>
-        );
-    };
+  // Collapsible argument list if we have more than 4 root keys
+  const [showAll, setShowAll] = useState(false);
+  const argEntries = Object.entries(args);
+  const shouldCollapse = argEntries.length > 4 && !showAll;
 
-    if (confirmed) {
-        return (
-            <div className="mt-2 p-2 border border-gray-400 dark:border-gray-600 rounded 
-                bg-gray-50 dark:bg-gray-800 transition-colors duration-200">
-                <div className="text-sm text-gray-600 dark:text-gray-300">
-                    <div>
-                        <strong>Tool:</strong> {tool ?? "Unknown"}
-                    </div>
-                    {renderArgs()}
-                </div>
-                <div className="mt-2 text-green-600 dark:text-green-400 font-medium">
-                    Running {tool}...
-                </div>
-            </div>
-        );
+  /** Recursively pretty‑print argument values (objects & arrays). */
+  const RenderValue = ({ value }) => {
+    if (value === null || value === undefined) return <span className="italic">‑</span>;
+
+    if (Array.isArray(value)) {
+      return (
+        <ol className="pl-4 list-decimal space-y-0.5">
+          {value.map((v, i) => (
+            <li key={i} className="flex gap-1">
+              <RenderValue value={v} />
+            </li>
+          ))}
+        </ol>
+      );
     }
 
+    if (typeof value === "object") {
+      return (
+        <ul className="pl-4 space-y-0.5 list-disc marker:text-green-500 dark:marker:text-green-400">
+          {Object.entries(value).map(([k, v]) => (
+            <li key={k} className="flex gap-1">
+              <span className="capitalize text-gray-600 dark:text-gray-300">{k}:&nbsp;</span>
+              <RenderValue value={v} />
+            </li>
+          ))}
+        </ul>
+      );
+    }
+
+    return <span className="font-medium text-gray-800 dark:text-gray-100">{String(value)}</span>;
+  };
+
+  const cardBase =
+    "mt-2 p-3 rounded-lg border-l-4 border-green-500 bg-gray-100/60 dark:bg-gray-800/60 shadow-sm";
+
+  // ===== Running state =====
+  if (confirmed) {
     return (
-        <div className="mt-2 p-2 border border-gray-400 dark:border-gray-600 rounded 
-            bg-gray-50 dark:bg-gray-800 transition-colors duration-200">
-            <div className="text-gray-600 dark:text-gray-300">
-                <div>
-                    Agent is ready to run the tool: <strong>{tool ?? "Unknown"}</strong>
-                </div>
-                {renderArgs()}
-                <div className="mt-2 text-sm text-gray-500 dark:text-gray-400">
-                    Please confirm to proceed.
-                </div>
-            </div>
-            <div className="text-right mt-2">
-                <button
-                    onClick={onConfirm}
-                    className="bg-green-600 hover:bg-green-700 text-white px-3 py-1 rounded
-                        transition-colors duration-200 focus:outline-none focus:ring-2 
-                        focus:ring-green-500 focus:ring-opacity-50"
-                    aria-label={`Confirm running ${tool}`}
-                >
-                    Confirm
-                </button>
-            </div>
-        </div>
+      <div className={`${cardBase} flex items-center gap-3`} role="status">
+        <SpinnerIcon className="text-green-600 dark:text-green-400 w-4 h-4" />
+        <span className="text-sm text-gray-700 dark:text-gray-200">
+          Running <strong className="font-semibold">{tool ?? "Unknown"}</strong> …
+        </span>
+      </div>
     );
+  }
+
+  // ===== Confirmation state =====
+  return (
+    <div className={`${cardBase} space-y-2`} role="group">
+      {/* Heading */}
+      <div className="flex items-center gap-2">
+        <PlayIcon className="text-green-600 dark:text-green-400 w-5 h-5 shrink-0" />
+        <p className="text-sm font-medium text-gray-700 dark:text-gray-200">
+          Ready to run <strong>{tool ?? "Unknown"}</strong>
+        </p>
+      </div>
+
+      {/* Dynamic argument list */}
+      {argEntries.length > 0 && (
+        <div className="text-sm text-gray-700 dark:text-gray-300">
+          {argEntries
+            .slice(0, shouldCollapse ? 4 : argEntries.length)
+            .map(([k, v]) => (
+              <div key={k} className="flex gap-1">
+                <span className="capitalize">{k}:&nbsp;</span>
+                <RenderValue value={v} />
+              </div>
+            ))}
+          {shouldCollapse && (
+            <button
+              onClick={() => setShowAll(true)}
+              className="mt-1 text-green-600 dark:text-green-400 text-xs underline hover:no-underline"
+            >
+              …show all
+            </button>
+          )}
+          {showAll && argEntries.length > 4 && (
+            <button
+              onClick={() => setShowAll(false)}
+              className="mt-1 block text-green-600 dark:text-green-400 text-xs underline hover:no-underline"
+            >
+              show less
+            </button>
+          )}
+        </div>
+      )}
+
+      {/* Confirm button */}
+      <div className="text-right">
+        <button
+          onClick={onConfirm}
+          onKeyDown={(e) => (e.key === "Enter" || e.key === " ") && onConfirm()}
+          className="w-full sm:w-auto bg-green-600 hover:bg-green-700 text-white text-sm px-3 py-1.5 rounded-md shadow-sm transition-colors focus:outline-none focus:ring-2 focus:ring-green-500 focus:ring-offset-1 animate-pulse sm:animate-none"
+          aria-label={`Confirm running ${tool}`}
+        >
+          Confirm
+        </button>
+      </div>
+    </div>
+  );
 });
 
-ConfirmInline.displayName = 'ConfirmInline';
+ConfirmInline.displayName = "ConfirmInline";
 
-export default ConfirmInline;
+export default ConfirmInline;
\ No newline at end of file
diff --git a/prompts/agent_prompt_generators.py b/prompts/agent_prompt_generators.py
index aaa3844..5d5aad0 100644
--- a/prompts/agent_prompt_generators.py
+++ b/prompts/agent_prompt_generators.py
@@ -187,7 +187,7 @@ def generate_pick_new_goal_guidance()-> str:
         str: A prompt string prompting the LLM to when to go to pick-new-goal
     """
     if is_multi_goal_mode(): 
-        return 'Next should only be "pick-new-goal" if all tools have been run for the current goal (use the system prompt to figure that out) and the last successful tool was not ListAgents, or the user explicitly requested to pick a new goal.'
+        return 'Next should only be "pick-new-goal" if all tools have been run for the current goal (use the system prompt to figure that out), or the user explicitly requested to pick a new goal.'
     else: 
         return 'Next should never be "pick-new-goal".'
 
diff --git a/todo.md b/todo.md
index 42c03cf..4e4e611 100644
--- a/todo.md
+++ b/todo.md
@@ -1,5 +1,6 @@
 # todo list
-[ ] expand [tests](./tests/agent_goal_workflow_test.py)<br />
+[x] take steve's confirm box changes https://temporaltechnologies.slack.com/archives/D062SV8KEEM/p1745251279164319 <br />
+[ ] consider adding goal categories to goal picker
 
 [ ] adding fintech goals <br />
 - Fraud Detection and Prevention - The AI monitors transactions across accounts, flagging suspicious activities (e.g., unusual spending patterns or login attempts) and autonomously freezing accounts or notifying customers and compliance teams.<br />
@@ -12,10 +13,6 @@
 
 [ ] for demo simulate failure  - add utilities/simulated failures from pipeline demo <br />
 
-[x] ecommerce goals <br />
-- [x] add to docs <br />
-- [x] decide about api key names with Laine <br />
-
 [ ] LLM failure->autoswitch: <br />
     - detect failure in the activity using failurecount <br />
     - activity switches to secondary LLM defined in .env
@@ -23,6 +20,10 @@
 
 [ ] for demo simulate failure  - add utilities/simulated failures from pipeline demo <br />
 
+[ ] expand [tests](./tests/agent_goal_workflow_test.py)<br />
+[ ] collapse history/summarize after goal finished <br />
+[ ] add aws bedrock <br />
+
 [ ] ask the ai agent how it did at the end of the conversation, was it efficient? successful? insert a search attribute to document that before return <br />
 - Insight into the agent’s performance <br />
 [ ] non-retry the api key error - "Invalid API Key provided: sk_test_**J..." and "AuthenticationError" <br />
diff --git a/tools/goal_registry.py b/tools/goal_registry.py
index 2bdc990..33e227c 100644
--- a/tools/goal_registry.py
+++ b/tools/goal_registry.py
@@ -24,23 +24,23 @@ goal_choose_agent_type = AgentGoal(
     id = "goal_choose_agent_type",
     category_tag="agent_selection",
     agent_name="Choose Agent",
-    agent_friendly_description="Choose the type of agent to assist you today.",
+    agent_friendly_description="Choose the type of agent to assist you today. You can always interrupt an existing agent to pick a new one.",
     tools=[
         tool_registry.list_agents_tool, 
         tool_registry.change_goal_tool,
     ],
     description="The user wants to choose which type of agent they will interact with. "
-        "Help the user gather args for these tools, in order: "
+        "Help the user select an agent by gathering args for the Changegoal tool, in order: "
         "1. ListAgents: List agents available to interact with. Do not ask for user confirmation for this tool. "
         "2. ChangeGoal: Change goal of agent "
         "After these tools are complete, change your goal to the new goal as chosen by the user. ",
-    starter_prompt="Welcome me, give me a description of what you can do, then ask me for the details you need to do your job. Listi all details of all agents as provided by the output of the first tool included in this goal. ",
+    starter_prompt= silly_prompt + "Welcome me, give me a description of what you can do, then ask me for the details you need to do your job. List all details of all agents as provided by the output of the first tool included in this goal. ",
     example_conversation_history="\n ".join(
         [
             "agent: Here are the currently available agents.",
             "tool_result: { agents: 'agent_name': 'Event Flight Finder', 'goal_id': 'goal_event_flight_invoice', 'agent_description': 'Helps users find interesting events and arrange travel to them',"
             "'agent_name': 'Schedule PTO', 'goal_id': 'goal_hr_schedule_pto', 'agent_description': 'Schedule PTO based on your available PTO.' }",
-            "agent: The available agents are: Event Flight Finder and Schedule PTO. \n Which agent would you like to speak to? ",
+            "agent: The available agents are: Event Flight Finder and Schedule PTO. \n Which agent would you like to work with? ",
             "user: I'd like to find an event and book flights using the Event Flight Finder",
             "user_confirmed_tool_run: <user clicks confirm on ChangeGoal tool>",
             "tool_result: { 'new_goal': 'goal_event_flight_invoice' }",
@@ -276,7 +276,7 @@ goal_hr_check_paycheck_bank_integration_status = AgentGoal(
 goal_fin_check_account_balances = AgentGoal(
     id = "goal_fin_check_account_balances",
     category_tag="fin",
-    agent_name="Check balances",
+    agent_name="Account Balances",
     agent_friendly_description="Check your account balances in Checking, Savings, etc.",   
     tools=[
         tool_registry.financial_check_account_is_valid,
@@ -326,7 +326,7 @@ goal_fin_move_money = AgentGoal(
         [
             "user: I'd like to transfer some money",
             "agent: Sure! I can help you out with that. May I have account number and email address?",
-            "user: account number is 11235813",
+            "user: my account number is 11235 and my email address is matt.murdock@nelsonmurdock.com",
             "user_confirmed_tool_run: <user clicks confirm on FincheckAccountIsValid tool>",
             "tool_result: { 'status': account valid }",
             "agent: Great! Here are your account balances:",
@@ -350,8 +350,8 @@ goal_fin_move_money = AgentGoal(
 goal_fin_loan_application = AgentGoal(
     id = "goal_fin_loan_application",
     category_tag="fin",
-    agent_name="Easy Loan Apply",
-    agent_friendly_description="Initiate loan application.",   
+    agent_name="Easy Loan",
+    agent_friendly_description="Initiate a simple loan application.",   
     tools=[
         tool_registry.financial_check_account_is_valid,
         tool_registry.financial_submit_loan_approval, 
@@ -478,7 +478,11 @@ else:
 
 if multi_goal_mode:
     for goal in goal_list:
-        if any(goal.tools.name == "ListAgents" for goal in goal_list):
-            continue
-        else:
-            goal.tools.append(tool_registry.list_agents_tool)
\ No newline at end of file
+        list_agents_found:bool = False
+        for tool in goal.tools:
+            if tool.name == "ListAgents":
+                list_agents_found = True
+                continue
+        if list_agents_found == False:
+            goal.tools.append(tool_registry.list_agents_tool)
+            continue
\ No newline at end of file
diff --git a/tools/tool_registry.py b/tools/tool_registry.py
index 1d11e65..1e76ab4 100644
--- a/tools/tool_registry.py
+++ b/tools/tool_registry.py
@@ -299,22 +299,26 @@ financial_move_money = ToolDefinition(
             type="string",
             description="email address or account ID of user",
         ),
-         ToolArgument(
+        ToolArgument(
             name="accounttype",
             type="string",
             description="account type, such as checking or savings",
         ),        
-         ToolArgument(
+        ToolArgument(
             name="amount",
             type="string",
             description="amount to move in the order",
         ),
-                
-         ToolArgument(
+        ToolArgument(
             name="destinationaccount",
             type="string",
             description="account number to move the money to",
         ),
+        ToolArgument(
+            name="userConfirmation",
+            type="string",
+            description="Indication of user's desire to move money",
+        ),
     ],
 )
 
diff --git a/workflows/agent_goal_workflow.py b/workflows/agent_goal_workflow.py
index 3b2757b..6bc6aee 100644
--- a/workflows/agent_goal_workflow.py
+++ b/workflows/agent_goal_workflow.py
@@ -169,35 +169,11 @@ class AgentGoalWorkflow:
                     # if we have all needed arguments (handled above) and not holding for a debugging confirm, proceed:
                     else:
                         self.confirmed = True
-
-                # else if the next step is to pick a new goal, set the goal and tool to do it
+                # else if the next step is to pick a new goal, set that to be the goal
                 elif next_step == "pick-new-goal":
-                    if self.goal.id != "goal_choose_agent_type":
-                        self.add_message("agent", tool_data)
-                        workflow.logger.info("All tools completed and new Agent Goal recommended. Resetting goal.")
-                        self.change_goal("goal_choose_agent_type")
-                        next_step = tool_data["next"] = "confirm"
-                        current_tool = tool_data["tool"] = "ListAgents"
-                        waiting_for_confirm = True
-                        self.tool_data = tool_data
-                        if self.show_tool_args_confirmation:
-                            self.confirmed = False 
-                        # if we have all needed arguments (handled above) and not holding for a debugging confirm, proceed:
-                        else:
-                            self.confirmed = True
-                        continue 
-                    else:
-                        if not current_tool == "ListAgents":
-                            current_tool = tool_data["tool"] = "ListAgents"
-                            waiting_for_confirm = True
-                            
-                            self.tool_data = tool_data
-                            next_step = tool_data["next"] = "confirm"
-                            if self.show_tool_args_confirmation:
-                                self.confirmed = False 
-                            # if we have all needed arguments (handled above) and not holding for a debugging confirm, proceed:
-                            else:
-                                self.confirmed = True
+                    workflow.logger.info("All steps completed. Resetting goal.")
+                    self.change_goal("goal_choose_agent_type")
+
 
                 
                 # else if the next step is to be done with the conversation such as if the user requests it via asking to "end conversation"

From 47c4b99f2c17bc008539df6a26b00f5404740e90 Mon Sep 17 00:00:00 2001
From: Joshua Smith <joshmsmith@gmail.com>
Date: Tue, 22 Apr 2025 15:16:33 -0400
Subject: [PATCH 97/98] adjusting loan sample conversation

---
 tools/goal_registry.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tools/goal_registry.py b/tools/goal_registry.py
index 33e227c..a25cd0c 100644
--- a/tools/goal_registry.py
+++ b/tools/goal_registry.py
@@ -363,7 +363,7 @@ goal_fin_loan_application = AgentGoal(
     example_conversation_history="\n ".join(
         [
             "user: I'd like to apply for a loan",
-            "agent: Sure! I can help you out with that. May I have account number for confirmation?",
+            "agent: Sure! I can help you out with that. May I have account number and email address to validate your account?",
             "user: account number is 11235813",
             "user_confirmed_tool_run: <user clicks confirm on FincheckAccountIsValid tool>",
             "tool_result: { 'status': account valid }",

From 7ef10e248109707ad5aab9e00be82a355db40ce2 Mon Sep 17 00:00:00 2001
From: Joshua Smith <joshmsmith@gmail.com>
Date: Thu, 24 Apr 2025 12:37:16 -0400
Subject: [PATCH 98/98] - updates to pyproject.toml to add contributors and
 update some pytest config - updates to documentation - clarification cleanup
 - defaulting to finserv goals

---
 .env.example                           |   2 +-
 README.md                              |  22 ++++++------
 adding-goals-and-tools.md              |   3 +-
 architecture.md                        |  47 ++++++++++++++-----------
 assets/Architecture_elements.png       | Bin 40166 -> 38742 bytes
 assets/ai_agent_architecture_model.png | Bin 147592 -> 127028 bytes
 assets/argument_gathering_cycle.png    | Bin 128393 -> 131753 bytes
 pyproject.toml                         |  15 +++++---
 setup.md                               |  17 +++++++--
 9 files changed, 66 insertions(+), 40 deletions(-)

diff --git a/.env.example b/.env.example
index 844fd27..5ff561f 100644
--- a/.env.example
+++ b/.env.example
@@ -43,7 +43,7 @@ AGENT_GOAL=goal_choose_agent_type  # for multi-goal  start
 
 #Choose which category(ies) of goals you want to be listed by the Agent Goal picker if enabled above
 # - options are system (always included), hr, travel, or all. 
-GOAL_CATEGORIES=hr,travel-flights,travel-trains,fin,ecommerce # default is all
+GOAL_CATEGORIES=fin # default is all
 #GOAL_CATEGORIES=travel-flights
 
 # Set if the workflow should wait for the user to click a confirm button (and if the UI should show the confirm button and tool args)
diff --git a/README.md b/README.md
index 8a97fc7..9683746 100644
--- a/README.md
+++ b/README.md
@@ -8,19 +8,22 @@ It's really helpful to [watch the demo (5 minute YouTube video)](https://www.you
 
 [![Watch the demo](./assets/agent-youtube-screenshot.jpeg)](https://www.youtube.com/watch?v=GEXllEH2XiQ)
 
+### Multi-Agent Demo Video
+See multi-agent execution in action [here](https://www.youtube.com/watch?v=8Dc_0dC14yY).
+
 ## Why Temporal?
 There are a lot of AI and Agentic AI tools out there, and more on the way. But why Temporal? Temporal gives this system reliablity, state management, a code-first approach that we really like, built-in observability and easy error handling.
 For more, check out [architecture-decisions](./architecture-decisions.md).
 
 ## What is "Agentic AI"?
 These are the key elements of an agentic framework:
-1. Goals a human can get done, made up of tools that can execute individual steps
-2. The "agent loop" - call LLM, either call tools or prompt human, repeat until goal(s) are done
-3. Support for tool calls that require human input and approval
+1. Goals that a system can accomplish, made up of tools that can execute individual steps
+2. Agent loops - executing an LLM, executing tools, and eliciting input from an external source such as a human: repeat until goal(s) are done
+3. Support for tool calls that require input and approval
 4. Use of an LLM to check human input for relevance before calling the 'real' LLM
-5. use of an LLM to summarize and compact the conversation history
-6. Prompt construction (made of system prompts, conversation history, and tool metadata - sent to the LLM to create user prompts)
-7. Bonus: durable tool execution via Temporal Activities
+5. Use of an LLM to summarize and compact the conversation history
+6. Prompt construction made of system prompts, conversation history, and tool metadata - sent to the LLM to create user questions and confirmations
+7. Ideally high durability (done in this system with Temporal Workflow and Activities)
 
 For a deeper dive into this, check out the [architecture guide](./architecture.md).
 
@@ -35,8 +38,7 @@ See [the architecture guide](./architecture.md).
 
 ## Productionalization & Adding Features
 - In a prod setting, I would need to ensure that payload data is stored separately (e.g. in S3 or a noSQL db - the claim-check pattern), or otherwise 'garbage collected'. Without these techniques, long conversations will fill up the workflow's conversation history, and start to breach Temporal event history payload limits.
-- A single worker can easily support many workflows - setting workflow ID differently would enable this.
-- Continue-as-new shouldn't be a big consideration for this use case (as it would take many conversational turns to trigger). Regardless, we should verify that it's able to carry the agent state over to the new workflow execution.
+- A single worker can easily support many agent workflows (chats) running at the same time. Currently the workflow ID is the same each time, so it will only run one agent at a time. To run multiple agents, you can use a different workflow ID each time (e.g. by using a UUID or timestamp).
 - Perhaps the UI should show when the LLM response is being retried (i.e. activity retry attempt because the LLM provided bad output)
 - Tests would be nice! [See tests](./tests/).
 
@@ -45,7 +47,7 @@ See [the todo](./todo.md) for more details.
 
 See [the guide to adding goals and tools](./adding-goals-and-tools.md) for more ways you can add features.
 
-## For Temporal SAs
-Check out the [slides](https://docs.google.com/presentation/d/1wUFY4v17vrtv8llreKEBDPLRtZte3FixxBUn0uWy5NU/edit#slide=id.g3333e5deaa9_0_0) here and the enablement guide here (TODO).
+## Enablement Guide (internal resource for Temporal employees)
+Check out the [slides](https://docs.google.com/presentation/d/1wUFY4v17vrtv8llreKEBDPLRtZte3FixxBUn0uWy5NU/edit#slide=id.g3333e5deaa9_0_0) here and the [enablement guide](https://docs.google.com/document/d/14E0cEOibUAgHPBqConbWXgPUBY0Oxrnt6_AImdiheW4/edit?tab=t.0#heading=h.ajnq2v3xqbu1).
 
 
diff --git a/adding-goals-and-tools.md b/adding-goals-and-tools.md
index 6ec806a..d35b5ed 100644
--- a/adding-goals-and-tools.md
+++ b/adding-goals-and-tools.md
@@ -1,5 +1,6 @@
 # Customizing the Agent
-The agent is set up to allow for multiple goals and to switch back to choosing a new goal at the end of every successful goal. A goal is made up of a list of tools that the agent will guide the user through. 
+The agent is set up to have multiple agents, each with their own goal. It supports switching back to choosing a new goal at the end of every successful goal (or even mid-goal). 
+A goal is made up of a list of tools that the agent will guide the user through. 
 
 It may be helpful to review the [architecture](./architecture.md) for a guide and definition of goals, tools, etc.
 
diff --git a/architecture.md b/architecture.md
index 02daf45..745b060 100644
--- a/architecture.md
+++ b/architecture.md
@@ -1,58 +1,65 @@
 # Elements
-These are the main elements of this system. 
-![Architecture Elements](./assets/Architecture_elements.png "Architecture Elements")
+These are the main elements of this system. See [architecture decisions](./architecture-decisions.md) for information beind these choices.
+In this document we will explain each element and their interactions, and then connect them all at the end.
+<img src="./assets/Architecture_elements.png" width="50%" alt="Architecture Elements">
 
 ## Workflow 
-This is a [Temporal Workflow](https://docs.temporal.io/workflows) - a durable straightforward description of the process to be executed. For our example see [agent_goal_workflow.py](./workflows/agent_goal_workflow.py).
+This is a [Temporal Workflow](https://docs.temporal.io/workflows) - a durable straightforward description of the process to be executed. See [agent_goal_workflow.py](./workflows/agent_goal_workflow.py).
 Temporal is used to make the process scalable, durable, reliable, secure, and visible.
 
 ### Workflow Responsibilities:
-- Orchestrates interactive loop
-- Prompts LLM, Users
+- Orchestrates interactive loops:
+    - LLM Loop: Prompts LLM, durably executes LLM, stores responses
+    - Interactive Loop: Elicits responses from input (in our case a human) and validates input responses
+    - Tool Execution Loop: Durably executes Tools
 - Keeps record of all interactions ([Signals, Queries, Updates](https://docs.temporal.io/develop/python/message-passing))
-- Executes LLM durably
-- Executes Tools durably
 - Handles failures gracefully
-- Human, LLM and tool interaction history stored for debugging and analysis
+- Input, LLM and Tool interaction history stored for debugging and analysis
 
 ## Activities
 These are [Temporal Activities](https://docs.temporal.io/activities). Defined as simple functions, they are auto-retried async/event driven behind the scenes. Activities durably execute Tools and the LLM. See [a sample activity](./activities/tool_activities.py).
 
 ## Tools 
-Tools define the capabilities of the system. They are simple Python functions (could be in any language).
-They are executed by Temporal Activities. They are “just code” - can connect to any API or system. They also are where the "hard" business logic is: you can validate and retry actions using code you write.
+Tools define the capabilities of the system. They are simple Python functions (could be in any language as Temporal supports multiple languages).
+They are executed by Temporal Activities. They are “just code” - can connect to any API or system. They also are where the deterministic business logic is: you can validate and retry actions using code you write.
 Failures are handled gracefully by Temporal.
 
 Activities + Tools turn the probabalistic input from the user and LLM into deterministic action.
 
 ## Prompts
-Prompts are where the instructions to the LLM & users is. Prompts are made up of initial instructions, goal instructions, and tool instructions. 
+Prompts are where the instructions to the LLM are. Prompts are made up of initial instructions, goal instructions, and tool instructions. 
 See [agent prompts](./prompts/agent_prompt_generators.py) and [goal & tool prompts](./tools/goal_registry.py). 
 
-This is where you can add probabalistic business logic, to control process flow, describe what to do, and give instruction and validation for the LLM.
+This is where you can add probabalistic business logic to
+- to control process flow
+- describe what to do
+- give examples of interactions
+- give instruction and validation for the LLM
 
 ## LLM
 Probabalistic execution: it will _probably_ do what you tell it to do.
 Turns the guidance from the prompts (see [agent prompts](./prompts/agent_prompt_generators.py) and [goal prompts](./tools/goal_registry.py)) into 
 You have a choice of providers - see [setup](./setup.md). 
 The LLM:
-- Validates user input for tools
-- Drives toward goal selected by user
-- Decides when to execute tools
-- Formats input and interprets output for tools
+- Drives toward the initial Goal and any subsequent Goals selected by user
+- Decides what to do based on input, such as:
+    - Validates user input for Tools
+    - Decides when to execute Tools
+    - Decides on next step for Goal
+- Formats input and interprets output for Tools
 - is executed by Temporal Activities
     - API failures and logical failures are handled transparently
 
 ## Interaction
 Interaction is managed with Temporal Signals and Queries. These are durably stored in Workflow History. 
-Can be used for analysis and debugging. It's all “just code” so it's easy to add new Signals and Queries. 
+History can be used for analysis and debugging. It's all “just code” so it's easy to add new Signals and Queries. 
 Input can be very dynamic, just needs to be serializable.
 
-The workflow executes in a loop: gathering input, validating input, executing tools, managing prompts, and then waiting for input.
+The Workflow executes the Interaction Loop: gathering input, validating input, and providing a response:
 
 ![Interaction Loop](./assets/interaction_loop.png)
 
-Here's a more detailed example for gathering parameters for tools:
+Here's a more detailed example for gathering inputs for Tools:
 
 ![Tool Gathering](./assets/argument_gathering_cycle.png)
 
@@ -64,4 +71,4 @@ Now that we have the pieces and what they do, here is a more complete diagram of
 
 
 # Adding features
-Want to add more tools, See [adding goals and tools](./adding-goals-and-tools.md).
\ No newline at end of file
+Want to add more Goals and Tools? See [adding goals and tools](./adding-goals-and-tools.md). Have fun!
\ No newline at end of file
diff --git a/assets/Architecture_elements.png b/assets/Architecture_elements.png
index a1f7b61ad77eedada476470a395c8e8c8f14ba62..7a7d5975b33700746c95321a1c09beac7ea0b7d6 100644
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diff --git a/assets/argument_gathering_cycle.png b/assets/argument_gathering_cycle.png
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diff --git a/pyproject.toml b/pyproject.toml
index 6f3c4f9..c06792a 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,9 +1,13 @@
 [tool.poetry]
 name = "temporal_AI_agent"
-version = "0.1.0"
+version = "0.2.0"
 description = "Temporal AI Agent"
 license = "MIT"
-authors = ["Steve Androulakis <steve.androulakis@temporal.io>"]
+authors = [
+    "Steve Androulakis <steve.androulakis@temporal.io>",
+    "Laine Smith <lainecaseysmith@gmail.com>",
+    "Joshua Smith <josh.smith@temporal.io>"
+]
 readme = "README.md"
 
 # By default, Poetry will find packages automatically, 
@@ -42,8 +46,8 @@ pandas = "^2.2.3"
 gtfs-kit = "^10.1.1"
 
 [tool.poetry.group.dev.dependencies]
-pytest = "^7.3"
-pytest-asyncio = "^0.18.3"
+pytest = ">=8.2"
+pytest-asyncio = "^0.26.0"
 black = "^23.7"
 isort = "^5.12"
 
@@ -55,4 +59,5 @@ build-backend = "poetry.core.masonry.api"
 asyncio_mode = "auto"
 log_cli = true
 log_cli_level = "INFO"
-log_cli_format = "%(asctime)s [%(levelname)8s] %(message)s (%(filename)s:%(lineno)s)"
\ No newline at end of file
+log_cli_format = "%(asctime)s [%(levelname)8s] %(message)s (%(filename)s:%(lineno)s)"
+asyncio_default_fixture_loop_scope = "function"
\ No newline at end of file
diff --git a/setup.md b/setup.md
index 32c7f3c..f417f10 100644
--- a/setup.md
+++ b/setup.md
@@ -18,7 +18,7 @@ SHOW_CONFIRM=True
 
 The agent can be configured to pursue different goals using the `AGENT_GOAL` environment variable in your `.env` file. If unset, default is `goal_choose_agent_type`. 
 
-If the first goal is `goal_choose_agent_type` the agent will support multiple goals using goal categories defined by `GOAL_CATEGORIES` in your .env file. If unset, default is all.
+If the first goal is `goal_choose_agent_type` the agent will support multiple goals using goal categories defined by `GOAL_CATEGORIES` in your .env file. If unset, default is all. We recommend starting with `fin`.
 ```bash
 GOAL_CATEGORIES=hr,travel-flights,travel-trains,fin
 ```
@@ -206,7 +206,6 @@ By default it will _not_ make a real workflow, it'll just fake it. If you get th
 FIN_START_REAL_WORKFLOW=FALSE #set this to true to start a real workflow
 ```
 
-
 #### Goals: HR/PTO
 Make sure you have the mock users you want in (such as yourself) in [the PTO mock data file](./tools/data/employee_pto_data.json).
 
@@ -220,4 +219,16 @@ Make sure you have the mock orders you want in (such as those with real tracking
 - The tools themselves are defined in their own files in `/tools`
 - Note the mapping in `tools/__init__.py` to each tool
 
-For more details, check out [adding goals and tools guide](./adding-goals-and-tools.md).
\ No newline at end of file
+For more details, check out [adding goals and tools guide](./adding-goals-and-tools.md).
+
+## Setup Checklist
+[  ] copy `.env.example` to `.env` <br />
+[  ] Select an LLM and add your API key to `.env` <br />
+[  ] (Optional) set your starting goal and goal category in  `.env` <br />
+[  ] (Optional) configure your Temporal Cloud settings in  `.env` <br />
+[  ] `poetry run python scripts/run_worker.py` <br />
+[  ] `poetry run uvicorn api.main:app --reload` <br />
+[  ] `cd frontend`, `npm install`, `npx vite` <br />
+[ ] Access the UI at `http://localhost:5173` <br />
+
+And that's it! Happy AI Agent Exploring!
\ No newline at end of file