77 lines
2.8 KiB
Python
77 lines
2.8 KiB
Python
import asyncio
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import os
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from pathlib import Path
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from langchain_core.messages import HumanMessage
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from langchain.tools import tool
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from deepagents import create_deep_agent
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from deepagents.backends import FilesystemBackend, LocalShellBackend, CompositeBackend
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from utils import llm, vector_store, splitter
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from langchain_core.documents import Document
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@tool
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def search_knowledge_base(query: str, max_results: int = 3) -> str:
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"""Search the knowledge base for relevant information."""
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docs = vector_store.similarity_search(query, k=max_results)
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return "\n".join(d.page_content for d in docs) if docs else "No results."
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@tool
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def add_to_knowledge_base(content: str, title: str = "doc") -> str:
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"""Add content to the knowledge base."""
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chunks = splitter.split_text(content)
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docs = [Document(page_content=chunk, metadata={"title": title}) for chunk in chunks]
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vector_store.add_documents(docs)
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return f"Added {len(docs)} chunks for {title}."
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backend = CompositeBackend([
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LocalShellBackend(workspace_dir="./workspace"),
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FilesystemBackend(),
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])
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agent = create_deep_agent(
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model=llm,
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tools=[search_knowledge_base, add_to_knowledge_base],
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backend=backend,
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system_prompt="You are a helpful assistant with access to a knowledge base. Use the provided tools to search and add information.",
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)
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async def main():
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print("RAG Agent CLI. Commands: /add, /search, /quit")
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while True:
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user_input = input(">> ").strip()
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if not user_input:
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continue
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if user_input.lower() == "/quit":
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print("Goodbye.")
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break
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if user_input.lower().startswith("/add"):
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title = input("Title: ").strip()
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print("Enter content (end with a single line containing only END):")
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lines = []
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while True:
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line = input()
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if line.strip() == "END":
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break
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lines.append(line)
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content = "\n".join(lines)
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result = add_to_knowledge_base(content, title)
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print(result)
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continue
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if user_input.lower().startswith("/search"):
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query = input("Query: ").strip()
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max_results_str = input("Max results (default 3): ").strip()
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max_results = int(max_results_str) if max_results_str.isdigit() else 3
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result = search_knowledge_base(query, max_results)
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print("Search results:")
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print(result)
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continue
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# Regular message to agent
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response = await agent.ainvoke(
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{"messages": [HumanMessage(content=user_input)]},
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{"configurable": {"thread_id": "session-1"}},
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)
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print(response["messages"][-1].content)
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if __name__ == "__main__":
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asyncio.run(main()) |