add: main.py

main.py

@@ -0,0 +1,46 @@
+import os
+import asyncio
+from langchain_openai import ChatOpenAI
+from langchain_core.messages import HumanMessage
+from deepagents import create_deep_agent
+from deepagents.backends import FilesystemBackend, LocalShellBackend, CompositeBackend
+
+# Configure the LLM 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=0.2,
+)
+
+# Set up a composite backend for file and shell interactions (required by deepagents)
+backend = CompositeBackend([
+    LocalShellBackend(workspace_dir="./workspace"),
+    FilesystemBackend(),
+])
+
+# Create the deep agent with a clear system prompt that guides the generation of a 12‑week AI fluency plan
+agent = create_deep_agent(
+    model=llm,
+    tools=[],
+    backend=backend,
+    system_prompt=(
+        "You are an experienced AI tutor. Your task is to craft a detailed 12‑week personal AI fluency plan "
+        "for a learner who has completed the Ai Fluency course. The plan should include: 1) a weekly objective, "
+        "2) recommended resources (books, articles, videos, exercises), and 3) an assessment method for each week. "
+        "Present the plan in a clear, numbered format."
+    ),
+)
+
+async def main():
+    # Invoke the agent to generate the plan
+    result = await agent.ainvoke(
+        {"messages": [HumanMessage(content="Generate my personal AI fluency plan.")]},
+        {"configurable": {"thread_id": "ai-fluency-plan"}},
+    )
+    plan = result["messages"][-1].content
+    print("\n=== Personal AI Fluency Plan ===\n")
+    print(plan)
+
+if __name__ == "__main__":
+    asyncio.run(main())