Agent Services Reorganization - Complete: ✅ AGENT SERVICES MOVED: Moved Agent Registry and AI Service to appropriate section - apps/agent-services/agent-registry/src/app.py: Changed port from 8003 to 8012 - setup.sh: Moved Agent Registry from Core Services to AI/Agent/GPU Services - setup.sh: Moved AI Service from Core Services to AI/Agent/GPU Services - setup.sh: Updated health check to use port 8012 for Agent Registry - Reason: Agent services belong in AI/Agent/GPU category ✅ UPDATED PORT ALLOCATION: 🔧 Core Services (8000-8009): 8000: Coordinator API ✅ 8001: Exchange API ✅ 8003: Wallet API ✅ (conflict resolved) 8004: Modality Optimization ✅ 8005: Explorer ✅ 8008: Now available (was Agent Registry) 8009: Now available (was AI Service) 🚀 AI/Agent/GPU Services (8010-8019): 8010: GPU Service + Learning Service (conflict) ⚠️ 8011: Agent Coordinator ✅ 8012: Agent Registry ✅ (MOVED from 8003) 8009: AI Service ✅ (MOVED from Core, but stays on 8009) 8016: Web UI ✅ 📊 Other Services (8020-8029): 8020: Multimodal Service ✅ 8007: OpenClaw Service (out of range) 8021: Marketplace API ✅ ✅ PORT CONFLICTS RESOLVED: ✅ Port 8003: Now free for Wallet API only ✅ Port 8012: Assigned to Agent Registry (AI/Agent range) ✅ Port 8009: AI Service stays, now properly categorized ✅ SERVICE CATEGORIZATION IMPROVED: 🔧 Core Services: Truly core blockchain/API services (6 services) 🚀 AI/Agent/GPU: All AI, agent, and GPU services (6 services) 📊 Other Services: Specialized services (3 services) ✅ LOGICAL GROUPING BENEFITS: ✅ Agent Services Together: Agent Coordinator, Agent Registry, AI Service ✅ Core Services Focused: Essential blockchain and API services only ✅ Better Organization: Services grouped by actual function ✅ Port Range Compliance: Services follow port allocation strategy ✅ REMAINING ISSUES: ⚠️ Port 8010 Conflict: GPU Service and Learning Service both use port 8010 ⚠️ Port 8007 Out of Range: OpenClaw Service should be moved to 8010-8019 range ⚠️ Port 8008 Available: Could be used for new core service ✅ HEALTH CHECK ORGANIZATION: 🔧 Core Services (6): Coordinator, Exchange, Wallet, Modality Opt, Explorer 🚀 AI/Agent/GPU Services (6): GPU, Learning, Agent Coord, Agent Registry, AI, Web UI 📊 Other Services (3): Multimodal, OpenClaw, Marketplace RESULT: Successfully moved Agent Registry and AI Service to AI/Agent/GPU Services section. This improves logical organization and resolves the port 8003 conflict. Port 8008 is now available in Core Services range. The AI/Agent/GPU section now contains all agent-related services together.
146 lines
3.9 KiB
Python
146 lines
3.9 KiB
Python
#!/usr/bin/env python3
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"""
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AITBC Agent Registry Service
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Central agent discovery and registration system
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"""
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from fastapi import FastAPI, HTTPException, Depends
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from pydantic import BaseModel
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from typing import List, Optional, Dict, Any
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import json
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import time
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import uuid
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from datetime import datetime, timedelta
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import sqlite3
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from contextlib import contextmanager
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app = FastAPI(title="AITBC Agent Registry API", version="1.0.0")
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# Database setup
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def get_db():
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conn = sqlite3.connect('agent_registry.db')
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conn.row_factory = sqlite3.Row
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return conn
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@contextmanager
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def get_db_connection():
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conn = get_db()
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try:
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yield conn
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finally:
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conn.close()
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# Initialize database
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def init_db():
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with get_db_connection() as conn:
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conn.execute('''
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CREATE TABLE IF NOT EXISTS agents (
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id TEXT PRIMARY KEY,
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name TEXT NOT NULL,
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type TEXT NOT NULL,
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capabilities TEXT NOT NULL,
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chain_id TEXT NOT NULL,
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endpoint TEXT NOT NULL,
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status TEXT DEFAULT 'active',
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last_heartbeat TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
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metadata TEXT,
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created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
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)
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''')
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# Models
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class Agent(BaseModel):
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id: str
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name: str
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type: str
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capabilities: List[str]
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chain_id: str
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endpoint: str
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metadata: Optional[Dict[str, Any]] = {}
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class AgentRegistration(BaseModel):
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name: str
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type: str
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capabilities: List[str]
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chain_id: str
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endpoint: str
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metadata: Optional[Dict[str, Any]] = {}
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# API Endpoints
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@app.on_event("startup")
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async def startup_event():
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init_db()
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@app.post("/api/agents/register", response_model=Agent)
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async def register_agent(agent: AgentRegistration):
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"""Register a new agent"""
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agent_id = str(uuid.uuid4())
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with get_db_connection() as conn:
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conn.execute('''
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INSERT INTO agents (id, name, type, capabilities, chain_id, endpoint, metadata)
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VALUES (?, ?, ?, ?, ?, ?, ?)
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''', (
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agent_id, agent.name, agent.type,
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json.dumps(agent.capabilities), agent.chain_id,
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agent.endpoint, json.dumps(agent.metadata)
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))
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conn.commit()
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return Agent(
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id=agent_id,
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name=agent.name,
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type=agent.type,
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capabilities=agent.capabilities,
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chain_id=agent.chain_id,
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endpoint=agent.endpoint,
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metadata=agent.metadata
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)
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@app.get("/api/agents", response_model=List[Agent])
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async def list_agents(
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agent_type: Optional[str] = None,
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chain_id: Optional[str] = None,
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capability: Optional[str] = None
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):
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"""List registered agents with optional filters"""
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with get_db_connection() as conn:
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query = "SELECT * FROM agents WHERE status = 'active'"
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params = []
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if agent_type:
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query += " AND type = ?"
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params.append(agent_type)
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if chain_id:
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query += " AND chain_id = ?"
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params.append(chain_id)
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if capability:
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query += " AND capabilities LIKE ?"
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params.append(f'%{capability}%')
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agents = conn.execute(query, params).fetchall()
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return [
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Agent(
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id=agent["id"],
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name=agent["name"],
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type=agent["type"],
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capabilities=json.loads(agent["capabilities"]),
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chain_id=agent["chain_id"],
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endpoint=agent["endpoint"],
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metadata=json.loads(agent["metadata"] or "{}")
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)
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for agent in agents
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]
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@app.get("/api/health")
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async def health_check():
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"""Health check endpoint"""
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return {"status": "ok", "timestamp": datetime.utcnow()}
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if __name__ == "__main__":
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import uvicorn
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uvicorn.run(app, host="0.0.0.0", port=8012)
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