79 lines
2.8 KiB
Python
79 lines
2.8 KiB
Python
import os, asyncio
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from langchain_openai import ChatOpenAI
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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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# LLM configuration
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llm = ChatOpenAI(
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model="openai/gpt-oss-20b:free",
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base_url="https://openrouter.ai/api/v1",
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api_key=os.getenv("OPENAI_API_KEY"),
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temperature=0.0,
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)
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# Backend: virtual FS + real shell
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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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# Tool: web search using duckduckgo-search
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@tool
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def web_search(query: str) -> str:
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"""Search the web for information."""
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try:
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from duckduckgo_search import DDGS
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with DDGS() as ddgs:
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results = list(ddgs.text(query, max_results=5))
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return "\n".join(f"{r['title']}: {r['body']}" for r in results)
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except Exception as e:
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return f"Search error: {e}"
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# Tool: create virtual file in the virtual FS
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@tool
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def create_virtual_file(path: str, content: str) -> str:
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"""Create a file in the virtual filesystem."""
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try:
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backend.write_file(path, content)
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return f"Virtual file {path} created."
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except Exception as e:
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return f"Error creating virtual file: {e}"
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# Tool: write virtual files to real filesystem
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@tool
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def write_to_real_fs() -> str:
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"""Copy all files from virtual FS to the real workspace."""
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try:
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# FilesystemBackend stores files in memory; we iterate over its internal dict if available
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if hasattr(backend, "_backend") and isinstance(backend._backend, FilesystemBackend):
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fs = backend._backend
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for path, content in fs._files.items():
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dst = os.path.join("./real_files", path.lstrip("/"))
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os.makedirs(os.path.dirname(dst), exist_ok=True)
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with open(dst, "w", encoding="utf-8") as f:
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f.write(content)
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return "All virtual files written to real filesystem."
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except Exception as e:
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return f"Error writing to real FS: {e}"
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# Create the deep agent
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agent = create_deep_agent(
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llm=llm,
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tools=[web_search, create_virtual_file, write_to_real_fs],
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backend=backend,
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system_prompt="You are a deep agent that can search the web, create virtual files, and finally write them to the real filesystem.",
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)
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async def main():
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# Example interaction: search, create file, write to real FS
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result = await agent.ainvoke(
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{"messages": [HumanMessage(content="Search for Python async programming examples and store results in a file called async_examples.txt")]},
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{"configurable": {"thread_id": "session-1"}},
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)
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print(result["messages"][-1].content)
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if __name__ == "__main__":
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asyncio.run(main())
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