diff --git a/apps/ai_api/eda_ai_api/api/routes/supervisor.py b/apps/ai_api/eda_ai_api/api/routes/supervisor.py index 98a0132..c7c17c2 100644 --- a/apps/ai_api/eda_ai_api/api/routes/supervisor.py +++ b/apps/ai_api/eda_ai_api/api/routes/supervisor.py @@ -1,21 +1,42 @@ +import os from fastapi import APIRouter +from langchain.prompts import PromptTemplate +from langchain_groq import ChatGroq +from langchain.chains import LLMChain from eda_ai_api.models.supervisor import SupervisorRequest, SupervisorResponse -from supervisor.crew import SupervisorCrew from opportunity_finder.crew import OpportunityFinderCrew from proposal_writer.crew import ProposalWriterCrew router = APIRouter() +print("API KEY:", os.environ.get("GROQ_API_KEY")) +# Setup LLM and prompt +llm = ChatGroq( + model_name="llama3-groq-70b-8192-tool-use-preview", + api_key=os.environ.get("GROQ_API_KEY"), + temperature=0.5, +) + + +ROUTER_TEMPLATE = """Given a user message, determine the appropriate service to handle the request. +Choose between: +- discovery: For finding grant opportunities +- proposal: For writing grant proposals +- heartbeat: For checking system health + +User message: {message} + +Return only one word (discovery/proposal/heartbeat):""" + +router_prompt = PromptTemplate(input_variables=["message"], template=ROUTER_TEMPLATE) + +router_chain = LLMChain(llm=llm, prompt=router_prompt) + @router.post("/supervisor", response_model=SupervisorResponse) async def supervisor_route(request: SupervisorRequest) -> SupervisorResponse: - # Get crew decision - crew_response = ( - SupervisorCrew().create_crew().kickoff(inputs={"message": request.message}) - ) - - # Extract decision from crew response - decision = str(crew_response).lower() + # Get routing decision from LLM + decision = router_chain.run(message=request.message).strip().lower() # Print input message and decision for debugging print("\n==================================================") @@ -26,16 +47,13 @@ async def supervisor_route(request: SupervisorRequest) -> SupervisorResponse: # Handle different decision paths if decision == "discovery": - # TODO: Extract topics from the actual message topics = ["AI", "Technology"] result = ( OpportunityFinderCrew().crew().kickoff(inputs={"topics": ", ".join(topics)}) ) elif decision == "proposal": - # Initialize ProposalWriterCrew with context from the message - # TODO: Extract project and grant details from message - community_project = "sample_project" # This should come from message parsing - grant_call = "sample_grant" # This should come from message parsing + community_project = "sample_project" + grant_call = "sample_grant" result = ( ProposalWriterCrew( community_project=community_project, grant_call=grant_call diff --git a/plugins/supervisor/.gitignore b/plugins/supervisor/.gitignore deleted file mode 100644 index d50a09f..0000000 --- a/plugins/supervisor/.gitignore +++ /dev/null @@ -1,2 +0,0 @@ -.env -__pycache__/ diff --git a/plugins/supervisor/README.md b/plugins/supervisor/README.md deleted file mode 100644 index d6f1c0f..0000000 --- a/plugins/supervisor/README.md +++ /dev/null @@ -1,54 +0,0 @@ -# Supervisor Crew - -Welcome to the Supervisor Crew project, powered by [crewAI](https://crewai.com). This template is designed to help you set up a multi-agent AI system with ease, leveraging the powerful and flexible framework provided by crewAI. Our goal is to enable your agents to collaborate effectively on complex tasks, maximizing their collective intelligence and capabilities. - -## Installation - -Ensure you have Python >=3.10 <=3.13 installed on your system. This project uses [UV](https://docs.astral.sh/uv/) for dependency management and package handling, offering a seamless setup and execution experience. - -First, if you haven't already, install uv: - -```bash -pip install uv -``` - -Next, navigate to your project directory and install the dependencies: - -(Optional) Lock the dependencies and install them by using the CLI command: -```bash -crewai install -``` -### Customizing - -**Add your `OPENAI_API_KEY` into the `.env` file** - -- Modify `src/supervisor/config/agents.yaml` to define your agents -- Modify `src/supervisor/config/tasks.yaml` to define your tasks -- Modify `src/supervisor/crew.py` to add your own logic, tools and specific args -- Modify `src/supervisor/main.py` to add custom inputs for your agents and tasks - -## Running the Project - -To kickstart your crew of AI agents and begin task execution, run this from the root folder of your project: - -```bash -$ crewai run -``` - -This command initializes the supervisor Crew, assembling the agents and assigning them tasks as defined in your configuration. - -This example, unmodified, will run the create a `report.md` file with the output of a research on LLMs in the root folder. - -## Understanding Your Crew - -The supervisor Crew is composed of multiple AI agents, each with unique roles, goals, and tools. These agents collaborate on a series of tasks, defined in `config/tasks.yaml`, leveraging their collective skills to achieve complex objectives. The `config/agents.yaml` file outlines the capabilities and configurations of each agent in your crew. - -## Support - -For support, questions, or feedback regarding the Supervisor Crew or crewAI. -- Visit our [documentation](https://docs.crewai.com) -- Reach out to us through our [GitHub repository](https://github.com/joaomdmoura/crewai) -- [Join our Discord](https://discord.com/invite/X4JWnZnxPb) -- [Chat with our docs](https://chatg.pt/DWjSBZn) - -Let's create wonders together with the power and simplicity of crewAI. diff --git a/plugins/supervisor/pyproject.toml b/plugins/supervisor/pyproject.toml deleted file mode 100644 index 408b321..0000000 --- a/plugins/supervisor/pyproject.toml +++ /dev/null @@ -1,20 +0,0 @@ -[project] -name = "supervisor" -version = "0.1.0" -description = "supervisor using crewAI" -authors = [{ name = "Your Name", email = "you@example.com" }] -requires-python = ">=3.10,<=3.13" -dependencies = [ - "crewai[tools]>=0.79.4,<1.0.0" -] - -[project.scripts] -supervisor = "supervisor.main:run" -run_crew = "supervisor.main:run" -train = "supervisor.main:train" -replay = "supervisor.main:replay" -test = "supervisor.main:test" - -[build-system] -requires = ["hatchling"] -build-backend = "hatchling.build" diff --git a/plugins/supervisor/src/supervisor/__init__.py b/plugins/supervisor/src/supervisor/__init__.py deleted file mode 100644 index e69de29..0000000 diff --git a/plugins/supervisor/src/supervisor/config/agents.yaml b/plugins/supervisor/src/supervisor/config/agents.yaml deleted file mode 100644 index 0725891..0000000 --- a/plugins/supervisor/src/supervisor/config/agents.yaml +++ /dev/null @@ -1,4 +0,0 @@ -decision_maker: - role: "Decision Maker" - goal: "Analyze user requests and route them to appropriate endpoints" - backstory: "You're an expert supervisor that determines which endpoint to call based on user messages. You understand the context and requirements for different types of requests and can accurately route them to the correct service." diff --git a/plugins/supervisor/src/supervisor/config/tasks.yaml b/plugins/supervisor/src/supervisor/config/tasks.yaml deleted file mode 100644 index 6ae437a..0000000 --- a/plugins/supervisor/src/supervisor/config/tasks.yaml +++ /dev/null @@ -1,9 +0,0 @@ -route_decision_task: - description: > - Analyze the user message and determine the appropriate service to handle the request. - Consider the context and requirements to route between: - 1. discovery - For finding grant opportunities - 2. heartbeat - For checking system health - expected_output: > - A single word response: either "discovery" or "heartbeat" - agent: decision_maker diff --git a/plugins/supervisor/src/supervisor/crew.py b/plugins/supervisor/src/supervisor/crew.py deleted file mode 100644 index 8056710..0000000 --- a/plugins/supervisor/src/supervisor/crew.py +++ /dev/null @@ -1,45 +0,0 @@ -import datetime -import os -from crewai import Agent, Crew, Process, Task, LLM -from crewai.project import CrewBase, agent, crew, task - -cerebras_llm = LLM( - model="sambanova/Meta-Llama-3.1-70B-Instruct", - api_key=os.environ.get("SAMBANOVA_API_KEY"), - temperature=0.5, -) - - -@CrewBase -class SupervisorCrew: - """Supervisor crew""" - - agents_config = "config/agents.yaml" - tasks_config = "config/tasks.yaml" - - @agent - def decision_maker(self) -> Agent: - return Agent( - config=self.agents_config["decision_maker"], - verbose=True, - allow_delegation=False, - llm=cerebras_llm, - ) - - @task - def route_decision_task(self) -> Task: - return Task(config=self.tasks_config["route_decision_task"]) - - @crew - def create_crew(self) -> Crew: - """Creates the Supervisor crew""" - return Crew( - agents=[self.decision_maker()], - tasks=[self.route_decision_task()], - process=Process.sequential, - verbose=True, - output_log_file=f'SupervisorCrew_{datetime.datetime.now().strftime("%Y%m%d_%H%M%S")}.log', - ) - - -__all__ = ["SupervisorCrew"] diff --git a/plugins/supervisor/src/supervisor/main.py b/plugins/supervisor/src/supervisor/main.py deleted file mode 100644 index ea4ab83..0000000 --- a/plugins/supervisor/src/supervisor/main.py +++ /dev/null @@ -1,29 +0,0 @@ -#!/usr/bin/env python -import sys -from supervisor.crew import Supervisor - - -def run(): - """ - Run the crew for routing decision. - """ - inputs = {"message": "I need to find grant opportunities for my research"} - result = Supervisor().crew().kickoff(inputs=inputs) - return result - - -def test(): - """ - Test the crew execution and returns the results. - """ - inputs = {"message": "I need to find grant opportunities for my research"} - try: - Supervisor().crew().test( - n_iterations=int(sys.argv[1]), openai_model_name=sys.argv[2], inputs=inputs - ) - except Exception as e: - raise Exception(f"An error occurred while testing the crew: {e}") - - -if __name__ == "__main__": - run() diff --git a/plugins/supervisor/src/supervisor/tools/__init__.py b/plugins/supervisor/src/supervisor/tools/__init__.py deleted file mode 100644 index e69de29..0000000 diff --git a/plugins/supervisor/src/supervisor/tools/custom_tool.py b/plugins/supervisor/src/supervisor/tools/custom_tool.py deleted file mode 100644 index 50bffa5..0000000 --- a/plugins/supervisor/src/supervisor/tools/custom_tool.py +++ /dev/null @@ -1,19 +0,0 @@ -from crewai.tools import BaseTool -from typing import Type -from pydantic import BaseModel, Field - - -class MyCustomToolInput(BaseModel): - """Input schema for MyCustomTool.""" - argument: str = Field(..., description="Description of the argument.") - -class MyCustomTool(BaseTool): - name: str = "Name of my tool" - description: str = ( - "Clear description for what this tool is useful for, you agent will need this information to use it." - ) - args_schema: Type[BaseModel] = MyCustomToolInput - - def _run(self, argument: str) -> str: - # Implementation goes here - return "this is an example of a tool output, ignore it and move along." diff --git a/plugins/supervisor/uv.lock b/plugins/supervisor/uv.lock deleted file mode 100644 index e9b62c9..0000000 --- a/plugins/supervisor/uv.lock +++ /dev/null @@ -1,4218 +0,0 @@ -version = 1 -requires-python = ">=3.10, <=3.13" -resolution-markers = [ - "python_full_version < '3.11'", - "python_full_version == '3.11.*'", - "python_full_version >= '3.12' and python_full_version < '3.12.4'", - "python_full_version >= '3.12.4' and python_full_version < '3.13'", - 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