Files
temporal-ai-agent/tools/goal_registry.py
Steve Androulakis 5d55a9fe80 Model Context Protocol (MCP) support with new use case (#42)
* initial mcp

* food ordering with mcp

* prompt eng

* splitting out goals and updating docs

* a diff so I can get tests from codex

* a diff so I can get tests from codex

* oops, missing files

* tests, file formatting

* readme and setup updates

* setup.md link fixes

* readme change

* readme change

* readme change

* stripe food setup script

* single agent mode default

* prompt engineering for better multi agent performance

* performance should be greatly improved

* Update goals/finance.py

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Update activities/tool_activities.py

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* co-pilot PR suggested this change, and now fixed it

* stronger wording around json format response

* formatting

* moved docs to dir

* moved image assets under docs

* cleanup env example, stripe guidance

* cleanup

---------

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
2025-06-09 16:39:57 -07:00

618 lines
40 KiB
Python

import os
from typing import List
import tools.tool_registry as tool_registry
from models.tool_definitions import AgentGoal, MCPServerDefinition
# 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",
category_tag="agent_selection",
agent_name="Choose Agent",
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 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=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 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' }",
]
),
)
# 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,
],
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!",
]
),
)
# ----- Travel Goals ---
goal_match_train_invoice = AgentGoal(
id="goal_match_train_invoice",
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=[
tool_registry.search_fixtures_tool,
tool_registry.search_trains_tool,
tool_registry.book_trains_tool,
tool_registry.create_invoice_tool,
],
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. "
"The user lives in London. Premier league fixtures may be mocked data, so don't worry about valid season dates and teams. "
"Gather args for these tools in order, ensuring you move the user from one tool to the next: "
"1. SearchFixtures: Search for fixtures for a team within a specified date range. The user might ask questions about the matches dates and locations to decide on where to go. "
"2. SearchTrains: Search for trains to the city of the match. Ensure you 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=starter_prompt_generic,
example_conversation_history="\n ".join(
[
"user: I'd like to travel to a premier league match",
"agent: Sure! Let's start by finding a match you'd like to attend. I know about Premier League fixtures in the UK. Could you tell me which team and what date range you're interested in?"
"user: Wolves between mid-April and the first week of May, please."
"agent: Great! Let's find fixtures for Wolverhampton Wanderers FC between 2025-04-15 and 2025-05-05."
"user_confirmed_tool_run: <user clicks confirm on SearchFixtures tool, passing the full team name as an input>",
'tool_result: SearchFixtures responds in this JSON format and the results are parsed by the agent below {"fixtures": [{"awayTeam": "West Ham United FC","date": "2025-04-01","homeTeam": "Wolverhampton Wanderers FC"},...,'
"agent: I found 4 Wolves matches in May 2025: 1. Man City vs Wolves (Away) - May 3 2. Wolves vs Brighton (Home) - May 10 3. Crystal Palace vs Wolves (Away) - May 18 4. Wolves vs Brentford (Home) - May 25 Which match would you like to attend? I'll help you find trains from London.",
"user: How about the Man City match",
"agent: Great! Let's find trains to Manchester and back for the match.",
"user_confirmed_tool_run: <user clicks confirm on SearchTrains tool>",
'tool_result: SearchTrains responds in this JSON format and the results are parsed by the agent below: {"journeys": [{"arrival": "Manchester","arrival_time": "2025-04-18T12:11","departure": "London","departure_time": "2025-04-18T11:00","id": "T8049","platform": "1","price": 73.5,"type": "outbound"},',
"agent: I found several train options for your journey to Manchester including outbound options on May 9 at 11am, 3:30pm and 4:30pm and return options on May 11 at 9am, 11am and 1pm. Which trains would you like to book?",
"user: I'd like the 11am outbound and 3:30pm return",
"agent: Sounds good, let's book train tickets for the 11am outbound and 3:30pm return trains on May 9 and May 11, one day before and after the match.",
"user_confirmed_tool_run: <user clicks confirm on BookTrains tool>",
'tool_result: BookTrains responds in this JSON format and the results are parsed by the agent belowg [{"booking_reference": "BR10879","journey_id": "T9532,T1027","status": "confirmed"}]',
"agent: Your train tickets have been booked with the reference ABCD1234. Are you ready to be invoiced for the total cost of the train tickets?",
"user: Yes, pelase invoice me.",
"user_confirmed_tool_run: <user clicks confirm on CreateInvoice tool which includes details of the train journey, the match, and the total cost>",
'tool_result: CreateInvoice responds in this JSON format and the results are parsed by the agent below (including a link to the invoice): {"invoiceStatus": "open","invoiceURL": "https://invoice.stripe.com/i/acct_1NBOLuKVZbzw7QA5/test_YWNjdF8xTkJPTHVLVlpienc3UUE1LF9SbGJlZ2xLMjhlc3lxNzFkVVBXbkswOUlFa2Rna1RxLDEzMDAwMTY4Nw0200RLeJRMlw?s=ap","reference": "F9B01CD7-0001"}',
"agent: Great! I've generated your invoice for your trains to the Manchester City match on the 10th of May. You can view and pay your invoice at this link: https://invoice.stripe.com/i/acct_1NBOLuKVZbzw7QA5/test_YWNjdF8xTkJPTHVLVlpienc3UUE1LF9SbGJlZ2xLMjhlc3lxNzFkVVBXbkswOUlFa2Rna1RxLDEzMDAwMTY4Nw0200RLeJRMlw?s=ap <this is the end of the chat>",
]
),
)
goal_event_flight_invoice = AgentGoal(
id="goal_event_flight_invoice",
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=[
tool_registry.find_events_tool,
tool_registry.search_flights_tool,
tool_registry.create_invoice_tool,
],
description="Help the user gather args for these tools in order: "
"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=starter_prompt_generic,
example_conversation_history="\n ".join(
[
"user: I'd like to travel to an event",
"agent: Sure! Let's start by finding an event you'd like to attend. I know about events in Australia and New Zealand cities. Could you tell me which city and month you're interested in?",
"user: sydney in may please",
"agent: Great! Let's find an events in Sydney in May.",
"user_confirmed_tool_run: <user clicks confirm on FindEvents tool>",
"tool_result: { 'event_name': 'Vivid Sydney', 'event_date': '2023-05-01' }",
"agent: Found an event! There's Vivid Sydney on May 1 2025, ending on May 14 2025. Would you like to search for flights around these dates?",
"user: Yes, please",
"agent: Let's search for flights around these dates. Could you provide your departure city?",
"user: San Francisco",
"agent: Thanks, searching for flights from San Francisco to Sydney around 2023-02-25 to 2023-02-28.",
"user_confirmed_tool_run: <user clicks confirm on SearchFlights tool>"
'tool_result: results including {"flight_number": "CX101", "return_flight_number": "CX102", "price": 850.0}',
"agent: Found some flights! The cheapest is CX101 for $850. Would you like to generate an invoice for this flight?",
"user_confirmed_tool_run: <user clicks confirm on CreateInvoice tool>",
'tool_result: { "status": "success", "invoice": { "flight_number": "CX101", "amount": 850.0 }, invoiceURL: "https://example.com/invoice" }',
"agent: Invoice generated! Here's the link: https://example.com/invoice",
]
),
)
# ----- 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",
category_tag="hr",
agent_name="Schedule PTO",
agent_friendly_description="Schedule PTO based on your available PTO.",
tools=[
tool_registry.current_pto_tool,
tool_registry.future_pto_calc_tool,
tool_registry.book_pto_tool,
],
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 future date "
"3. BookPTO: Book PTO after user types 'yes'",
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 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 book the PTO? ",
"user: yes ",
"user_confirmed_tool_run: <user clicks confirm on BookPTO tool>",
'tool_result: { "status": "success" }',
"agent: PTO successfully booked! ",
]
),
)
# 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,
],
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.",
]
),
)
# 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 deposit status",
agent_friendly_description="Check your integration between your employer and your financial institution.",
tools=[
tool_registry.paycheck_bank_integration_status_check,
],
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.",
]
),
)
# ----- 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",
category_tag="fin",
agent_name="Account 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,
],
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 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 }",
"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!",
]
),
)
# 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",
agent_name="Money Movement",
agent_friendly_description="Initiate money movement.",
tools=[
tool_registry.financial_check_account_is_valid,
tool_registry.financial_get_account_balances,
tool_registry.financial_move_money,
],
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 money movement (transfer)",
starter_prompt=starter_prompt_generic,
example_conversation_history="\n ".join(
[
"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: 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:",
"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 "
"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 completed! New account balance: $2700.15. Your confirmation id is 333421. ",
]
),
)
# this starts a loan approval process
# 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",
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,
],
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 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 }",
"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. Your application ID is 333421. You'll receive a notification for final approval from us in three business days. ",
]
),
)
# ----- E-Commerce Goals ---
# 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,
tool_registry.ecomm_track_package,
],
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(
[
"user: I'd like to know the status of my order",
"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?",
"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, 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!",
]
),
)
# ----- MCP Integrations -----
goal_mcp_stripe = AgentGoal(
id="goal_mcp_stripe",
category_tag="mcp-integrations",
agent_name="Stripe MCP Agent",
agent_friendly_description="Manage Stripe operations via MCP",
tools=[], # Will be populated dynamically
mcp_server_definition=MCPServerDefinition(
name="stripe-mcp",
command="npx",
args=[
"-y",
"@stripe/mcp",
"--tools=all",
f"--api-key={os.getenv('STRIPE_API_KEY')}",
],
env=None,
included_tools=["list_customers", "list_products"],
),
description="Help manage Stripe operations for customer and product data by using the customers.read and products.read tools.",
starter_prompt="Welcome! I can help you read Stripe customer and product information.",
example_conversation_history="\n ".join(
[
"agent: Welcome! I can help you read Stripe customer and product information. What would you like to do first?",
"user: what customers are there?",
"agent: I'll check for customers now.",
"user_confirmed_tool_run: <user clicks confirm on customers.read tool>",
'tool_result: { "customers": [{"id": "cus_abc", "name": "Customer A"}, {"id": "cus_xyz", "name": "Customer B"}] }',
"agent: I found two customers: Customer A and Customer B. Can I help with anything else?",
"user: what products exist?",
"agent: Let me get the list of products for you.",
"user_confirmed_tool_run: <user clicks confirm on products.read tool>",
'tool_result: { "products": [{"id": "prod_123", "name": "Gold Plan"}, {"id": "prod_456", "name": "Silver Plan"}] }',
"agent: I found two products: Gold Plan and Silver Plan.",
]
),
)
# ----- Food Ordering Goal -----
goal_food_ordering = AgentGoal(
id="goal_food_ordering",
category_tag="food",
agent_name="Food Ordering Assistant",
agent_friendly_description="Order food from Tony's Pizza Palace using Stripe for payment processing. Browse menu, add items to your order, and check out securely. Please ensure context carries over between tool runs.",
tools=[tool_registry.food_add_to_cart_tool],
mcp_server_definition=MCPServerDefinition(
name="stripe-mcp",
command="npx",
args=[
"-y",
"@stripe/mcp",
"--tools=all",
f"--api-key={os.getenv('STRIPE_API_KEY')}",
],
env=None,
included_tools=[
"list_products",
"list_prices",
"create_customer",
"create_invoice",
"create_invoice_item",
"finalize_invoice",
],
),
description="The user wants to order food from Tony's Pizza Palace. "
"First, help the user browse the menu by calling list_products. "
"When they express interest in items, get pricing using list_prices. "
"Add items to their cart using AddToCart as they decide - the order doesn't matter, multiple items can be added. "
"After they're done selecting items, get their customer details and create a Stripe customer. "
"For checkout: 1) create_invoice, 2) create_invoice_item for each individual item (IMPORTANT: create_invoice_item does NOT accept quantity parameter - call it once per item, so if user wants 2 pizzas, call create_invoice_item twice with the same price), "
"3) finalize_invoice. The finalized invoice will contain a hosted_invoice_url for payment.",
starter_prompt=starter_prompt_generic,
example_conversation_history="\n ".join(
[
"user: I want to order food.",
"agent: Welcome to Tony's Pizza Palace! I can help you browse our menu, add items to your cart, and process payment. Let me show you what we have available.",
"user_confirmed_tool_run: <user clicks confirm on list_products tool with limit=100 and product.metadata.use_case == 'food_ordering_demo'>",
'tool_result: {"products": [{"id": "prod_pepperoni", "name": "Pepperoni Pizza", "description": "A timeless classic featuring pepperoni"}, {"id": "prod_margherita", "name": "Margherita Pizza", "description": "Fresh mozzarella and basil"}, {"id": "prod_garlic_bread", "name": "Garlic Bread", "description": "Warm crusty bread with garlic butter"}, {"id": "prod_soda", "name": "Soda", "description": "A large bottle of cola"}]}',
"agent: We have Pepperoni Pizza, Margherita Pizza, Garlic Bread, and Soda available. What would you like to order?",
"user: I'd like 2 pepperoni pizzas and a soda.",
"agent: Excellent! Let me get the pricing for the pepperoni pizzas first so you know the cost.",
"user_confirmed_tool_run: <user clicks confirm on list_prices tool with product='prod_pepperoni'>",
'tool_result: {"prices": [{"id": "price_pepperoni_large", "product": "prod_pepperoni", "unit_amount": 2299, "currency": "usd"}]}',
"agent: Pepperoni Pizza is $22.99 each. Now let me check the soda pricing:",
"user_confirmed_tool_run: <user clicks confirm on list_prices tool with product='prod_soda'>",
'tool_result: {"prices": [{"id": "price_soda", "product": "prod_soda", "unit_amount": 250, "currency": "usd"}]}',
"agent: And Soda is $2.50. So 2 Pepperoni Pizzas ($22.99 each) plus 1 Soda ($2.50) = $48.48 total. What's your email address to add these items to your cart?",
"user: jane.smith@example.com",
"agent: Perfect! Adding 2 Pepperoni Pizzas to your cart for jane.smith@example.com. Note: I'm using quantity=2 since you want 2 pizzas.",
"user_confirmed_tool_run: <user clicks confirm on AddToCart tool with customer_email='jane.smith@example.com', item_name='Pepperoni Pizza', item_price=22.99, quantity=2, stripe_product_id='prod_pepperoni'>",
'tool_result: {"status": "success", "message": "Added 2 x Pepperoni Pizza ($22.99) to cart for jane.smith@example.com", "item_added": {"quantity": 2, "name": "Pepperoni Pizza"}}',
"agent: Great! Added 2 Pepperoni Pizzas to your cart. Now adding the Soda (quantity=1):",
"user_confirmed_tool_run: <user clicks confirm on AddToCart tool with customer_email='jane.smith@example.com', item_name='Soda', item_price=2.50, quantity=1, stripe_product_id='prod_soda'>",
'tool_result: {"status": "success", "message": "Added 1 x Soda ($2.50) to cart for jane.smith@example.com", "item_added": {"quantity": 1, "name": "Soda"}}',
"agent: Excellent! Your cart now contains: 2 Pepperoni Pizzas ($22.99 each) and 1 Soda ($2.50). Ready to checkout? I'll need your full name.",
"user: Yes, let's proceed with payment. My name is Jane Smith.",
"agent: Thank you Jane! Creating your Stripe customer profile with name and email.",
"user_confirmed_tool_run: <user clicks confirm on create_customer tool with name='Jane Smith' and email='jane.smith@example.com'>",
'tool_result: {"customer": {"id": "cus_ExAmPlE12345", "name": "Jane Smith", "email": "jane.smith@example.com"}}',
"agent: Customer profile created! Now I'll create a draft invoice for your order.",
"user_confirmed_tool_run: <user clicks confirm on create_invoice tool with customer='cus_ExAmPlE12345'>",
'tool_result: {"invoice": {"id": "in_InvOicE54321", "status": "draft", "customer": "cus_ExAmPlE12345"}}',
"agent: Invoice created! Now adding your first Pepperoni Pizza to the invoice.",
"user_confirmed_tool_run: <user clicks confirm on create_invoice_item tool with customer='cus_ExAmPlE12345', invoice='in_InvOicE54321', price='price_pepperoni_large'>",
'tool_result: {"status": "success", "invoice_item": {"id": "ii_pizza1"}}',
"agent: First pizza added! Now adding your second Pepperoni Pizza to the invoice.",
"user_confirmed_tool_run: <user clicks confirm on create_invoice_item tool with customer='cus_ExAmPlE12345', invoice='in_InvOicE54321', price='price_pepperoni_large'>",
'tool_result: {"status": "success", "invoice_item": {"id": "ii_pizza2"}}',
"agent: Both pizzas added! Now adding your Soda to the invoice.",
"user_confirmed_tool_run: <user clicks confirm on create_invoice_item tool with customer='cus_ExAmPlE12345', invoice='in_InvOicE54321', price='price_soda'>",
'tool_result: {"status": "success", "invoice_item": {"id": "ii_soda"}}',
"agent: All items added to invoice! Now finalizing to generate the payment link.",
"user_confirmed_tool_run: <user clicks confirm on finalize_invoice tool with invoice='in_InvOicE54321'>",
'tool_result: {"invoice": {"id": "in_InvOicE54321", "status": "open", "hosted_invoice_url": "https://invoice.stripe.com/i/acct_1NBOLuKVZbzw7QA5/test_YWNjdF8xTkJPTHVLVlpienc3UUE1LF9SbGJlZ2xLMjhlc3lxNzFkVVBXbkswOUlFa2Rna1RxLDEzMDAwMTY4Nw0200RKeJRMlw?s=ap", "amount_due": 4848}}',
"agent: Perfect! Your order is complete with 2 Pepperoni Pizzas and 1 Soda. Total: $48.48. Pay securely here: https://invoice.stripe.com/i/acct_1NBOLuKVZbzw7QA5/test_YWNjdF8xTkJPTHVLVlpienc3UUE1LF9SbGJlZ2xLMjhlc3lxNzFkVVBXbkswOUlFa2Rna1RxLDEzMDAwMTY4Nw0200RKeJRMlw?s=ap\\n\\nThank you for ordering from Tony's Pizza Palace!",
]
),
)
# 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)
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)
goal_list.append(goal_ecomm_list_orders)
goal_list.append(goal_ecomm_order_status)
goal_list.append(goal_mcp_stripe)
goal_list.append(goal_food_ordering)
# 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 = False # default to single agent mode if unset
elif (
first_goal_value is not None
and first_goal_value.lower() == "goal_choose_agent_type"
):
multi_goal_mode = True
else:
multi_goal_mode = False
if multi_goal_mode:
for goal in goal_list:
list_agents_found: bool = False
for tool in goal.tools:
if tool.name == "ListAgents":
list_agents_found = True
continue
if list_agents_found is False:
goal.tools.append(tool_registry.list_agents_tool)
continue