Merge pull request #946 from MicrosoftDocs/docs/agents/file-search

docs: Remove duplicate code block from Agents: File Search

Author: lokitoth

agent-framework/agents/tools/file-search.md

@@ -49,80 +49,7 @@ Console.WriteLine(await agent.RunAsync("What does the document say about today's
 
 The following example shows how to create an agent with the File Search tool and sample documents:
 
-### Define sample documents
-
-```python
-# Copyright (c) Microsoft. All rights reserved.
-
-import asyncio
-
-from agent_framework import Agent, Content
-from agent_framework.openai import OpenAIChatClient
-
-"""
-OpenAI Responses Client with File Search Example
-
-This sample demonstrates using get_file_search_tool() with OpenAI Responses Client
-for direct document-based question answering and information retrieval.
-"""
-
-# Helper functions
-
-
-async def create_vector_store(client: OpenAIChatClient) -> tuple[str, Content]:
-    """Create a vector store with sample documents."""
-    file = await client.client.files.create(
-        file=("todays_weather.txt", b"The weather today is sunny with a high of 75F."), purpose="user_data"
-    )
-    vector_store = await client.client.vector_stores.create(
-        name="knowledge_base",
-        expires_after={"anchor": "last_active_at", "days": 1},
-    )
-    result = await client.client.vector_stores.files.create_and_poll(vector_store_id=vector_store.id, file_id=file.id)
-    if result.last_error is not None:
-        raise Exception(f"Vector store file processing failed with status: {result.last_error.message}")
-
-    return file.id, Content.from_hosted_vector_store(vector_store_id=vector_store.id)
-
-
-async def delete_vector_store(client: OpenAIChatClient, file_id: str, vector_store_id: str) -> None:
-    """Delete the vector store after using it."""
-    await client.client.vector_stores.delete(vector_store_id=vector_store_id)
-    await client.client.files.delete(file_id=file_id)
-
-
-async def main() -> None:
-    client = OpenAIChatClient()
-
-    message = "What is the weather today? Do a file search to find the answer."
-
-    stream = False
-    print(f"User: {message}")
-    file_id, vector_store_id = await create_vector_store(client)
-
-    agent = Agent(
-        client=client,
-        instructions="You are a helpful assistant that can search through files to find information.",
-        tools=[client.get_file_search_tool(vector_store_ids=[vector_store_id])],
-    )
-
-    if stream:
-        print("Assistant: ", end="")
-        async for chunk in agent.run(message, stream=True):
-            if chunk.text:
-                print(chunk.text, end="")
-        print("")
-    else:
-        response = await agent.run(message)
-        print(f"Assistant: {response}")
-    await delete_vector_store(client, file_id, vector_store_id)
-
-
-if __name__ == "__main__":
-    asyncio.run(main())
-```
-
-### Run the agent
+### File Search Tool Example
 
 ```python
 # Copyright (c) Microsoft. All rights reserved.