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Model Context Protocol (MCP) support with new use case (#42)

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* 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>
This commit is contained in:
Steve Androulakis
2025-06-09 16:39:57 -07:00
committed by GitHub
parent 1811e4cf59
commit 5d55a9fe80
49 changed files with 3268 additions and 279 deletions
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97
goals/hr.py Normal file
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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_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! ",
]
),
)
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.",
]
),
)
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.",
]
),
)
hr_goals: List[AgentGoal] = [
goal_hr_schedule_pto,
goal_hr_check_pto,
goal_hr_check_paycheck_bank_integration_status,
]