tomatocream
4495a3cc62
- Add AGENTS.md with repo guidelines - Add lightrag-mcp: FastMCP server exposing insert_documents() + query_documents() to LLM agents via stdio transport, talks to LightRAG REST API - Add scripts/patch-vllm-cpu.py for CPU inference patching - Add .env.vllm for vLLM configuration - Update flake.nix with expanded dev shell - Update .env.lightrag - Remove CLAUDE.md (replaced by AGENTS.md)
84 lines
2.9 KiB
Python
84 lines
2.9 KiB
Python
import asyncio
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import os
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from mcp import ClientSession, StdioServerParameters
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from mcp.client.stdio import stdio_client
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async def main():
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server = StdioServerParameters(
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command="uv",
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args=[
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"run",
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"--directory",
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"/home/df/projects/rags/lightrag-mcp",
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"python",
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"main.py",
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],
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)
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async with stdio_client(server) as (read, write):
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async with ClientSession(read, write) as session:
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await session.initialize()
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print("--- INSERT ---")
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result = await session.call_tool(
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"insert_documents",
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arguments={
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"documents": [
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"Python is a high-level programming language known for its simplicity and readability.",
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"JavaScript was created in 1995 by Brendan Eich at Netscape.",
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"Machine learning is a subset of artificial intelligence that enables systems to learn from data.",
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]
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},
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)
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print(f"Insert result: {result.content[0].text[:200]}")
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print("\n--- QUERY (mix) ---")
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result = await session.call_tool(
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"query_documents",
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arguments={
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"query": "Tell me about programming languages",
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"mode": "mix",
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"top_k": 60,
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},
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)
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import json
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data = json.loads(result.content[0].text)
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d = data.get("data", {})
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print(f"Entities: {len(d.get('entities', []))}")
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print(f"Relationships: {len(d.get('relationships', []))}")
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print(f"Chunks: {len(d.get('chunks', []))}")
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for c in d.get("chunks", [])[:2]:
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print(f" - {c.get('content', '')[:100]}")
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print("\n--- QUERY (local) ---")
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result = await session.call_tool(
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"query_documents",
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arguments={"query": "What is Python?", "mode": "local", "top_k": 60},
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)
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data = json.loads(result.content[0].text)
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d = data.get("data", {})
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print(f"Entities: {len(d.get('entities', []))}")
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print(f"Chunks: {len(d.get('chunks', []))}")
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print("\n--- QUERY (global) ---")
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result = await session.call_tool(
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"query_documents",
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arguments={
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"query": "What topics are covered?",
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"mode": "global",
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"top_k": 60,
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},
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)
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data = json.loads(result.content[0].text)
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d = data.get("data", {})
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print(f"Entities: {len(d.get('entities', []))}")
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print(f"Relationships: {len(d.get('relationships', []))}")
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print("\nDone!")
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if __name__ == "__main__":
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asyncio.run(main())
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