Error Creating Thread in Azure OpenAI Assistant - "Failed to create file operation"

Question

I am trying to use the Azure OpenAI Assistant with the file search tool. I successfully uploaded the files and created a vector store, but I encounter a 500 - server_error when attempting to create a thread. Here is the relevant part of my code:

from fastapi import FastAPI, HTTPException

from pydantic import BaseModel

from azure_client import configure_azure_client, create_assistant, create_vector_store, upload_files

from openai import AssistantEventHandler

import time

# Initialize FastAPI

app = FastAPI()

filename = "incidentes_ficticios2.json"

# Configure Azure OpenAI client

print("10. Configuring Azure OpenAI client...")

client = configure_azure_client()

# Create assistant

print("11. Creating assistant...")

assistant = create_assistant(client)

# Create vector store

print("12. Creating vector store...")

vector_store = create_vector_store(client)

# Upload files to vector store

print("13. Uploading files to vector store...")

file_batch = upload_files(client, vector_store, [filename])

# Polling to ensure files are processed

print("14. Checking file processing status...")

while True:

file_batch = client.beta.vector_stores.file_batches.retrieve(file_batch.id)

if file_batch.status == 'completed':

print("15. Files successfully processed.")

break

elif file_batch.status == 'failed':

raise HTTPException(status_code=500, detail="File processing failed.")

print("15a. Waiting for files to process...")

time.sleep(5)

# Update assistant with vector store

print("16. Updating assistant with vector store...")

assistant = client.beta.assistants.update(

assistant_id=assistant.id,

tool_resources={"file_search": {"vector_store_ids": [vector_store.id]}},

)

print("17. Assistant updated with vector store.")

# Define request model

class QueryRequest(BaseModel):

query: str

# Event handler class

class EventHandler(AssistantEventHandler):

def __init__(self):

self.response = None

def on_text_created(self, text):

print("18. Assistant created text:", text)

self.response = text

def on_tool_call_created(self, tool_call):

print("19. Tool call created:", tool_call.type)

def on_message_done(self, message):

print("20. Assistant processed message:", message.content)

# Endpoint to query assistant

@app.post("/query")

async def query_assistant(request: QueryRequest):

try:

print("21. Query received:", request.query)

# Create message file

print("22. Creating message file...")

try:

message_file = client.files.create(

file=open(filename, "rb"), purpose="assistants"

)

print("23. Message file created:", message_file.id)

except Exception as e:

print("23a. Error creating message file:", str(e))

raise

# Read file content for debugging

try:

with open(filename, "r") as f:

file_content = f.read()

print("23b. File content:", file_content[:1000])

except Exception as e:

print("23c. Error reading file for debugging:", str(e))

raise

# Check assistant and vector store resources

print("23d. Assistant resources:", assistant.tool_resources)

print("23e. Vector store ID:", vector_store.id)

# Create thread with user message

print("24. Creating thread...")

try:

thread = client.beta.threads.create(

messages=[

{

"role": "user",

"content": request.query,

"attachments": [

{"file_id": message_file.id, "tools": [{"type": "file_search"}]}

],

}

]

)

print("25. Thread created:", thread.id)

except Exception as e:

print("25a. Error creating thread:", str(e))

print("25b. Message details:", {

"role": "user",

"content": request.query,

"attachments": [

{"file_id": message_file.id, "tools": [{"type": "file_search"}]}

],

})

raise

# Initialize event handler to capture events

event_handler = EventHandler()

# Execute assistant stream

print("26. Executing assistant stream...")

try:

with client.beta.threads.runs.stream(

thread_id=thread.id,

assistant_id=assistant.id,

instructions=request.query,

event_handler=event_handler,

) as stream:

stream.until_done()

except Exception as e:

print("26a. Error executing assistant stream:", str(e))

raise

# Check if assistant provided a response

if event_handler.response is None:

print("27. No response from assistant.")

raise HTTPException(status_code=500, detail="No response from assistant")

print("28. Assistant response:", event_handler.response)

return {"response": event_handler.response}

except Exception as e:

print("29. Error processing query:", str(e))

raise HTTPException(status_code=500, detail=str(e))

# Start Uvicorn server

if __name__ == "__main__":

print("30. Starting Uvicorn server...")

import uvicorn

uvicorn.run(app, host="0.0.0.0", port=8000)

Error Logs:

23a. Erro ao criar thread: Error code: 500 - {'error': {'message': 'Failed to create file operation.', 'type': 'server_error', 'param': None, 'code': None}}

23b. Detalhes da mensagem: {'role': 'user', 'content': 'tem bug?', 'attachments': [{'file_id': 'assistant-YHnvnwCKLeGoKe7ySvGqUDqP', 'tools': [{'type': 'file_search'}]}]}

27. Erro ao processar consulta: Error code: 500 - {'error': {'message': 'Failed to create file operation.', 'type': 'server_error', 'param': None, 'code': None}}

I have confirmed that the file content is correct and the vector store has been updated successfully. What could be causing this issue when creating a thread? Any insights or suggestions would be appreciated.

Answer 1

I'm in EastUS usin gpt-4o.

I went to Azure playground interface and load the assistant and json created and uploaded from my code. When I tryed to run the output was that a problem with the file.

When I ran using same file from project Dir, but Uploaded this from playground its works.

Ill try to change the file to .xlsx or txt and Ill return here