Initial commit: Egregore brain service

AI logic with Claude API integration, tool execution, and system prompts.

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

main.py

@@ -0,0 +1,90 @@
+#!/usr/bin/env python3
+"""
+Egregore Brain Service - AI reasoning API
+
+Provides HTTP API for conversation processing with Claude.
+Runs on port 8081.
+"""
+
+import os
+from typing import Optional
+
+from fastapi import FastAPI, HTTPException
+from pydantic import BaseModel
+from dotenv import load_dotenv
+import anthropic
+
+from tools import TOOLS, execute_tool
+from prompts import get_system_prompt
+from conversation import process_conversation
+
+# Load environment
+load_dotenv("/home/admin/.env")
+
+ANTHROPIC_API_KEY = os.getenv("ANTHROPIC_API_KEY")
+if not ANTHROPIC_API_KEY:
+    raise ValueError("ANTHROPIC_API_KEY not set")
+
+app = FastAPI(title="Egregore Brain Service", docs_url="/docs")
+
+# Initialize Anthropic client
+client = anthropic.AsyncAnthropic(api_key=ANTHROPIC_API_KEY)
+
+
+# Request models
+class ProcessRequest(BaseModel):
+    model: str = "claude-sonnet-4-20250514"
+    history: list  # Conversation history in Claude API format
+    max_iterations: int = 10
+
+
+class ToolRequest(BaseModel):
+    name: str
+    input: dict
+
+
+# Endpoints
+@app.post("/process")
+async def api_process(req: ProcessRequest):
+    """Process a conversation with tool use loop"""
+    try:
+        response_blocks = await process_conversation(
+            client=client,
+            model=req.model,
+            history=req.history,
+            max_iterations=req.max_iterations
+        )
+        return {"blocks": response_blocks}
+    except anthropic.APIError as e:
+        raise HTTPException(status_code=500, detail=str(e))
+
+
+@app.post("/tool")
+async def api_execute_tool(req: ToolRequest):
+    """Execute a single tool directly"""
+    result = await execute_tool(req.name, req.input)
+    return {"result": result}
+
+
+@app.get("/tools")
+async def api_get_tools():
+    """Get available tool definitions"""
+    return {"tools": TOOLS}
+
+
+@app.get("/prompt")
+async def api_get_prompt():
+    """Get current system prompt with context"""
+    prompt = await get_system_prompt()
+    return {"prompt": prompt}
+
+
+@app.get("/health")
+async def health():
+    """Health check endpoint"""
+    return {"status": "ok", "service": "brain"}
+
+
+if __name__ == "__main__":
+    import uvicorn
+    uvicorn.run(app, host="127.0.0.1", port=8081)