60 lines
1.9 KiB
Python
60 lines
1.9 KiB
Python
import os
|
|
import asyncio
|
|
from langchain_openai import ChatOpenAI
|
|
from langchain_core.messages import HumanMessage
|
|
from langchain.tools import tool
|
|
from deepagents import create_deep_agent
|
|
from deepagents.backends import FilesystemBackend, CompositeBackend
|
|
|
|
# LLM configuration using OpenRouter
|
|
llm = ChatOpenAI(
|
|
model="openai/gpt-oss-20b:free",
|
|
base_url="https://openrouter.ai/api/v1",
|
|
api_key=os.getenv("OPENAI_API_KEY"),
|
|
temperature=0.0,
|
|
)
|
|
|
|
# Backend: real filesystem in current directory
|
|
backend = CompositeBackend([
|
|
FilesystemBackend(),
|
|
])
|
|
|
|
@tool
|
|
async def web_search(query: str) -> str:
|
|
"""Search the web for information using DuckDuckGo."""
|
|
try:
|
|
from duckduckgo_search import DDGS
|
|
with DDGS() as ddgs:
|
|
results = list(ddgs.text(query, max_results=5))
|
|
return "\n".join(f"{r['title']}: {r['body']}" for r in results)
|
|
except Exception as e:
|
|
return f"Search error: {e}"
|
|
|
|
@tool
|
|
def write_file(path: str, content: str) -> str:
|
|
"""Write a file to the local filesystem."""
|
|
try:
|
|
with open(path, 'w', encoding='utf-8') as f:
|
|
f.write(content)
|
|
return f"File written to {path}"
|
|
except Exception as e:
|
|
return f"Error writing file: {e}"
|
|
|
|
agent = create_deep_agent(
|
|
llm=llm,
|
|
tools=[web_search, write_file],
|
|
backend=backend,
|
|
system_prompt="You are a helpful research assistant. Your task is to search the web for information on a given topic and then create virtual files with the results. At the end of the conversation, ensure all generated files are written to disk.",
|
|
)
|
|
|
|
async def main():
|
|
# Example interaction: ask about Python best practices
|
|
result = await agent.ainvoke(
|
|
{"messages": [HumanMessage(content="Search for Python best practices and save to results.txt")]},
|
|
{"configurable": {"thread_id": "session-1"}},
|
|
)
|
|
print(result["messages"][-1].content)
|
|
|
|
if __name__ == "__main__":
|
|
asyncio.run(main())
|