renaming workflows and activities

activities/tool_activities.py

@@ -25,7 +25,7 @@ if os.environ.get("LLM_PROVIDER") == "ollama":
 
 class ToolActivities:
     @activity.defn
-    async def validate_llm_prompt(
+    async def agent_validatePrompt(
         self, validation_input: ValidationInput
     ) -> ValidationResult:
         """
@@ -78,7 +78,7 @@ class ToolActivities:
             prompt=validation_prompt, context_instructions=context_instructions
         )
 
-        result = self.prompt_llm(prompt_input)
+        result = self.agent_toolPlanner(prompt_input)
 
         return ValidationResult(
             validationResult=result.get("validationResult", False),
@@ -86,7 +86,7 @@ class ToolActivities:
         )
 
     @activity.defn
-    def prompt_llm(self, input: ToolPromptInput) -> dict:
+    def agent_toolPlanner(self, input: ToolPromptInput) -> dict:
         llm_provider = os.environ.get("LLM_PROVIDER", "openai").lower()
 
         print(f"LLM provider: {llm_provider}")

api/main.py

@@ -4,8 +4,8 @@ from temporalio.client import Client
 from temporalio.exceptions import TemporalError
 from temporalio.api.enums.v1 import WorkflowExecutionStatus
 
-from workflows.tool_workflow import ToolWorkflow
-from models.data_types import CombinedInput, ToolWorkflowParams
+from workflows.agent_goal_workflow import AgentGoalWorkflow
+from models.data_types import CombinedInput, AgentGoalWorkflowParams
 from tools.goal_registry import goal_match_train_invoice
 from fastapi.middleware.cors import CORSMiddleware
 from shared.config import get_temporal_client, TEMPORAL_TASK_QUEUE
@@ -94,7 +94,7 @@ async def get_conversation_history():
 async def send_prompt(prompt: str):
     # Create combined input
     combined_input = CombinedInput(
-        tool_params=ToolWorkflowParams(None, None),
+        tool_params=AgentGoalWorkflowParams(None, None),
         agent_goal=goal_match_train_invoice,
     )
 
@@ -102,7 +102,7 @@ async def send_prompt(prompt: str):
 
     # Start (or signal) the workflow
     await temporal_client.start_workflow(
-        ToolWorkflow.run,
+        AgentGoalWorkflow.run,
         combined_input,
         id=workflow_id,
         task_queue=TEMPORAL_TASK_QUEUE,
@@ -141,7 +141,7 @@ async def end_chat():
 async def start_workflow():
     # Create combined input
     combined_input = CombinedInput(
-        tool_params=ToolWorkflowParams(None, None),
+        tool_params=AgentGoalWorkflowParams(None, None),
         agent_goal=goal_match_train_invoice,
     )
 
@@ -149,7 +149,7 @@ async def start_workflow():
 
     # Start the workflow with the starter prompt from the goal
     await temporal_client.start_workflow(
-        ToolWorkflow.run,
+        AgentGoalWorkflow.run,
         combined_input,
         id=workflow_id,
         task_queue=TEMPORAL_TASK_QUEUE,

backup_sessions.json

@@ -0,0 +1,50 @@
+{
+    "$schema": "https://cdn.statically.io/gh/nguyenngoclongdev/cdn/main/schema/v10/terminal-keeper.json",
+    "theme": "tribe",
+    "active": "default",
+    "activateOnStartup": false,
+    "keepExistingTerminals": false,
+    "sessions": {
+        "default": [
+            [
+                {
+                    "name": "frontend",
+                    "autoExecuteCommands": true,
+                    "commands": [
+                        "cd frontend && npx vite"
+                    ]
+                },
+                {
+                    "name": "uvicorn",
+                    "autoExecuteCommands": true,
+                    "commands": [
+                        "poetry run uvicorn api.main:app --reload"
+                    ]
+                }
+            ],
+            [
+                {
+                    "name": "agent worker",
+                    "autoExecuteCommands": true,
+                    "commands": [
+                        "poetry run python scripts/run_worker.py"
+                    ]
+                },
+                {
+                    "name": "trains worker",
+                    "autoExecuteCommands": true,
+                    "commands": [
+                        "poetry run python scripts/run_legacy_worker.py"
+                    ]
+                }
+            ],
+            {
+                "name": "trains_api",
+                "autoExecuteCommands": true,
+                "commands": [
+                    "poetry run python thirdparty/train_api.py"
+                ]
+            }
+        ]
+    }
+}

models/data_types.py

@@ -4,14 +4,14 @@ from models.tool_definitions import AgentGoal
 
 
 @dataclass
-class ToolWorkflowParams:
+class AgentGoalWorkflowParams:
     conversation_summary: Optional[str] = None
     prompt_queue: Optional[Deque[str]] = None
 
 
 @dataclass
 class CombinedInput:
-    tool_params: ToolWorkflowParams
+    tool_params: AgentGoalWorkflowParams
     agent_goal: AgentGoal
 
 

scripts/end_chat.py

@@ -1,7 +1,7 @@
 import asyncio
 
 
-from workflows.tool_workflow import ToolWorkflow
+from workflows.agent_goal_workflow import AgentGoalWorkflow
 
 
 async def main():
@@ -10,10 +10,10 @@ async def main():
 
     workflow_id = "agent-workflow"
 
-    handle = client.get_workflow_handle_for(ToolWorkflow.run, workflow_id)
+    handle = client.get_workflow_handle_for(AgentGoalWorkflow.run, workflow_id)
 
     # Sends a signal to the workflow
-    await handle.signal(ToolWorkflow.end_chat)
+    await handle.signal(AgentGoalWorkflow.end_chat)
 
 
 if __name__ == "__main__":

scripts/get_history.py

@@ -1,7 +1,7 @@
 import asyncio
 
 from shared.config import get_temporal_client
-from workflows.tool_workflow import ToolWorkflow
+from workflows.agent_goal_workflow import AgentGoalWorkflow
 
 
 async def main():
@@ -12,7 +12,7 @@ async def main():
     handle = client.get_workflow_handle(workflow_id)
 
     # Queries the workflow for the conversation history
-    history = await handle.query(ToolWorkflow.get_conversation_history)
+    history = await handle.query(AgentGoalWorkflow.get_conversation_history)
 
     print("Conversation History")
     print(history)

scripts/run_worker.py

@@ -5,7 +5,7 @@ import concurrent.futures
 from temporalio.worker import Worker
 
 from activities.tool_activities import ToolActivities, dynamic_tool_activity
-from workflows.tool_workflow import ToolWorkflow
+from workflows.agent_goal_workflow import AgentGoalWorkflow
 
 from shared.config import get_temporal_client, TEMPORAL_TASK_QUEUE
 
@@ -21,10 +21,10 @@ async def main():
         worker = Worker(
             client,
             task_queue=TEMPORAL_TASK_QUEUE,
-            workflows=[ToolWorkflow],
+            workflows=[AgentGoalWorkflow],
             activities=[
-                activities.prompt_llm,
-                activities.validate_llm_prompt,
+                activities.agent_validatePrompt,
+                activities.agent_toolPlanner,
                 dynamic_tool_activity,
             ],
             activity_executor=activity_executor,

workflows/agent_goal_workflow.py

@@ -11,7 +11,11 @@ from models.data_types import ConversationHistory, NextStep, ValidationInput
 with workflow.unsafe.imports_passed_through():
     from activities.tool_activities import ToolActivities
     from prompts.agent_prompt_generators import generate_genai_prompt
-    from models.data_types import CombinedInput, ToolWorkflowParams, ToolPromptInput
+    from models.data_types import (
+        CombinedInput,
+        AgentGoalWorkflowParams,
+        ToolPromptInput,
+    )
 
 from shared.config import TEMPORAL_LEGACY_TASK_QUEUE
 
@@ -31,7 +35,7 @@ class ToolData(TypedDict, total=False):
 
 
 @workflow.defn
-class ToolWorkflow:
+class AgentGoalWorkflow:
     """Workflow that manages tool execution with user confirmation and conversation history."""
 
     def __init__(self) -> None:
@@ -111,7 +115,7 @@ class ToolWorkflow:
                 prompt=summary_prompt, context_instructions=summary_context
             )
             self.conversation_summary = await workflow.start_activity_method(
-                ToolActivities.prompt_llm,
+                ToolActivities.agent_toolPlanner,
                 summary_input,
                 schedule_to_close_timeout=LLM_ACTIVITY_SCHEDULE_TO_CLOSE_TIMEOUT,
             )
@@ -121,7 +125,7 @@ class ToolWorkflow:
             workflow.continue_as_new(
                 args=[
                     CombinedInput(
-                        tool_params=ToolWorkflowParams(
+                        tool_params=AgentGoalWorkflowParams(
                             conversation_summary=self.conversation_summary,
                             prompt_queue=self.prompt_queue,
                         ),
@@ -178,7 +182,7 @@ class ToolWorkflow:
                         agent_goal=agent_goal,
                     )
                     validation_result = await workflow.execute_activity(
-                        ToolActivities.validate_llm_prompt,
+                        ToolActivities.agent_validatePrompt,
                         args=[validation_input],
                         schedule_to_close_timeout=LLM_ACTIVITY_SCHEDULE_TO_CLOSE_TIMEOUT,
                         start_to_close_timeout=LLM_ACTIVITY_START_TO_CLOSE_TIMEOUT,
@@ -208,7 +212,7 @@ class ToolWorkflow:
                 )
 
                 tool_data = await workflow.execute_activity(
-                    ToolActivities.prompt_llm,
+                    ToolActivities.agent_toolPlanner,
                     prompt_input,
                     schedule_to_close_timeout=LLM_ACTIVITY_SCHEDULE_TO_CLOSE_TIMEOUT,
                     start_to_close_timeout=LLM_ACTIVITY_START_TO_CLOSE_TIMEOUT,