Files
temporal-ai-agent/goals/travel.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

97 lines
7.8 KiB
Python

from typing import List
import tools.tool_registry as tool_registry
from models.tool_definitions import AgentGoal
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_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 in Australia or New Zealand 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",
]
),
)
travel_goals: List[AgentGoal] = [
goal_match_train_invoice,
goal_event_flight_invoice,
]