Implementing an Agent Registry Server with Redis.md

How-To Guide: Implementing an Agent Registry Server with Redis

In this guide, we will walk through the steps to implement an agent registry server that uses Redis as its data store. This registry will allow agents to register themselves, update their tools, remove themselves, and search for other agents based on ID or tool description.

Prerequisites

1. Python 3.6 or newer
2. Redis server installed and running
3. Python packages: redis, flask, and flask_restful

Step 1: Set up Redis

1. Install Redis following the official guide for your operating system.

2. Start the Redis server by running redis-server in your terminal.

3. Install the Python redis package by running:

pip install redis

Step 2: Create the RedisHelper

1. Create a file named redis_helper.py and add the following code to connect to Redis:

import redis

class RedisHelper:

    def __init__(self):
        self.redis_client = redis.Redis(host='localhost', port=6379, decode_responses=True)

    # Add other methods for the registry here.

Step 3: Implement the Agent Registry Functions

1. In the redis_helper.py file, add the following methods to the RedisHelper class:

    def add_agent(self, agent_id, name, description, endpoint, tools):
        agent_key = f'agent:{agent_id}'
        agent_data = {
            'name': name,
            'description': description,
            'endpoint': endpoint,
            'tools': json.dumps(tools)
        }
        self.redis_client.hmset(agent_key, agent_data)
        return agent_key

    def update_tools(self, agent_id, tools):
        agent_key = f'agent:{agent_id}'
        self.redis_client.hset(agent_key, 'tools', json.dumps(tools))

    def remove_agent(self, agent_id):
        agent_key = f'agent:{agent_id}'
        self.redis_client.delete(agent_key)

    def get_agent_by_id(self, agent_id):
        agent_key = f'agent:{agent_id}'
        agent_data = self.redis_client.hgetall(agent_key)
        if agent_data:
            agent_data['tools'] = json.loads(agent_data['tools'])
            return agent_data
        return None

    def search_agents_by_tool_description(self, search_query):
        matching_agents = []
        for key in self.redis_client.scan_iter(match='agent:*'):
            agent_data = self.redis_client.hgetall(key)
            tools = json.loads(agent_data['tools'])
            for tool in tools:
                if search_query.lower() in tool['description'].lower():
                    agent_data['tools'] = tools
                    matching_agents.append(agent_data)
                    break
        return matching_agents

2. Make sure to import the required modules at the beginning of the redis_helper.py file:

import json

Step 4: Create the Flask API

1. Install the flask and flask_restful packages:

pip install flask flask_restful

2. Create a file named app.py and add the following code to set up the Flask API:

from flask import Flask, request
from flask_restful import Api, Resource
from redis_helper import RedisHelper

app = Flask(__name__)
api = Api(app)
redis_helper = RedisHelper()

class AddAgent(Resource):
    def post(self):
        # Add the agent
        agent_id = request.json['agent_id']
        name = request.json['name']
        ```python
        description = request.json['description']
        endpoint = request.json['endpoint']
        tools = request.json['tools']
        redis_helper.add_agent(agent_id, name, description, endpoint, tools)

        return {"status": "SUCCESS", "agent_id": agent_id}

class UpdateTools(Resource):
    def put(self):
        agent_id = request.json['agent_id']
        tools = request.json['tools']
        redis_helper.update_tools(agent_id, tools)
        return {"status": "SUCCESS", "agent_id": agent_id}

class RemoveAgent(Resource):
    def delete(self, agent_id):
        redis_helper.remove_agent(agent_id)
        return {"status": "SUCCESS", "agent_id": agent_id}

class SearchAgents(Resource):
    def get(self, agent_id=None, search_query=None):
        if agent_id:
            agent_data = redis_helper.get_agent_by_id(agent_id)
            return agent_data if agent_data else {"status": "ERROR", "message": "Agent not found"}
        else:
            matching_agents = redis_helper.search_agents_by_tool_description(search_query)
            return matching_agents

api.add_resource(AddAgent, '/add_agent')
api.add_resource(UpdateTools, '/update_tools')
api.add_resource(RemoveAgent, '/remove_agent/<string:agent_id>')
api.add_resource(SearchAgents, '/search_agents/<string:agent_id>', '/search_agents', '/search_agents/<string:search_query>')

if __name__ == '__main__':
    app.run(debug=True)

With this code, you have created a Flask API with four endpoints: /add_agent, /update_tools, /remove_agent/<string:agent_id>, and /search_agents/<string:agent_id> or /search_agents/<string:search_query>.

Now you can run the app.py file to start the server:

python app.py

The API will be accessible at http://localhost:5000/. You can use a tool like Postman or curl to interact with the API.

In summary, this guide showed you how to create an agent registry server using Flask and Redis. The agents can register themselves, update their tools, remove themselves, and search for other agents based on their ID or tool description.