add main.py
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@@ -1,12 +1,11 @@
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import os
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import os, asyncio
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import asyncio
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from langchain_openai import ChatOpenAI
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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_core.messages import HumanMessage
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from langchain.tools import tool
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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 import create_deep_agent
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from deepagents.backends import FilesystemBackend, CompositeBackend
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from deepagents.backends import FilesystemBackend, LocalShellBackend, CompositeBackend
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# LLM configuration using OpenRouter
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# LLM configuration
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llm = ChatOpenAI(
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llm = ChatOpenAI(
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model="openai/gpt-oss-20b:free",
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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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base_url="https://openrouter.ai/api/v1",
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@@ -14,14 +13,16 @@ llm = ChatOpenAI(
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temperature=0.0,
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temperature=0.0,
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)
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)
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# Backend: real filesystem in current directory
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# Backend: virtual FS + real shell
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backend = CompositeBackend([
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backend = CompositeBackend([
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LocalShellBackend(workspace_dir="./workspace"),
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FilesystemBackend(),
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FilesystemBackend(),
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])
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])
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# Tool: web search using duckduckgo-search
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@tool
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@tool
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async def web_search(query: str) -> str:
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def web_search(query: str) -> str:
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"""Search the web for information using DuckDuckGo."""
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"""Search the web for information."""
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try:
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try:
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from duckduckgo_search import DDGS
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from duckduckgo_search import DDGS
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with DDGS() as ddgs:
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with DDGS() as ddgs:
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@@ -30,27 +31,44 @@ async def web_search(query: str) -> str:
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except Exception as e:
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except Exception as e:
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return f"Search error: {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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@tool
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def write_file(path: str, content: str) -> str:
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def create_virtual_file(path: str, content: str) -> str:
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"""Write a file to the local filesystem."""
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"""Create a file in the virtual filesystem."""
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try:
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try:
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with open(path, 'w', encoding='utf-8') as f:
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backend.write_file(path, content)
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f.write(content)
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return f"Virtual file {path} created."
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return f"File written to {path}"
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except Exception as e:
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except Exception as e:
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return f"Error writing file: {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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for root, dirs, files in os.walk("./workspace"):
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for file in files:
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src = os.path.join(root, file)
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dst = os.path.join("./real_files", file)
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os.makedirs(os.path.dirname(dst), exist_ok=True)
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with open(src, "r", encoding="utf-8") as fsrc, open(dst, "w", encoding="utf-8") as fdst:
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fdst.write(fsrc.read())
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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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agent = create_deep_agent(
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llm=llm,
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llm=llm,
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tools=[web_search, write_file],
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tools=[web_search, create_virtual_file, write_to_real_fs],
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backend=backend,
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backend=backend,
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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.",
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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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)
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async def main():
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async def main():
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# Example interaction: ask about Python best practices
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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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result = await agent.ainvoke(
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{"messages": [HumanMessage(content="Search for Python best practices and save to results.txt")]},
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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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{"configurable": {"thread_id": "session-1"}},
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)
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)
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print(result["messages"][-1].content)
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print(result["messages"][-1].content)
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