Can't upload file through API

Zandarashvili, Levani 0

I'm trying to upload files to Azure for fine-tuning, but I'm getting resource not available error.
I know that the client I creates is fine, because I tested it with the chat option. For example, if I run the following using my client:

client.chat.completions.create(
    messages=[{"content": "What is the weather like today?", "role": "user"}], model="gpt-4o"
)

It will work fine, but when I try to run a command to upload a file:

client.files.create(file=open("messages/train_messages.jsonl", "rb"), purpose="fine-tune")

It gives me an error: NotFoundError: Error code: 404 - {'error': {'code': '404', 'message': 'Resource not found'}}

Zandarashvili, Levani 0 Reputation points

2024-11-21T20:20:10.6266667+00:00

Here is a screenshot of my code:

navba-MSFT 25,595 Microsoft Employee

@Zandarashvili, Levani Welcome to Microsoft Q&A Forum, Thank you for posting your query here!

I was able to make this work at my end. I used the below sample code for the client.files.create:

# Import necessary libraries
from openai import AzureOpenAI
import os

# Initialize the Azure OpenAI client
client = AzureOpenAI(
    api_key= "48bXXXXXXX3664",
    api_version="2024-08-01-preview",
    azure_endpoint = "https://XXXXX.openai.azure.com/"
)

# Create the assistant with the file_search tool
assistant = client.beta.assistants.create(
    name="Financial Analyst Assistant",
    instructions="You are an expert financial analyst. Use your knowledge base to answer questions about audited financial statements.",
    model="gpt4o",
    tools=[{"type": "file_search"}]
)

# Create a vector store called "Financial Statements"
vector_store = client.beta.vector_stores.create(name="Financial Statements")

# Ready the files for upload to OpenAI
file_paths = [r"C:\acs_paas\mydirectory\myfile1.pdf", r"C:\acs_paas\mydirectory\myfile2.pdf"]
file_streams = [open(path, "rb") for path in file_paths]

# Use the upload and poll SDK helper to upload the files, add them to the vector store,
# and poll the status of the file batch for completion
file_batch = client.beta.vector_stores.file_batches.upload_and_poll(
    vector_store_id=vector_store.id, files=file_streams
)

# Print the status and the file counts of the batch to see the result of this operation
print(file_batch.status)
print(file_batch.file_counts)

# Upload the user-provided file to OpenAI
message_file = client.files.create(
    file=open(r"C:\acs_paas\mydirectory\myfile1.pdf", "rb"), purpose="assistants"
)

# Create a thread and attach the file to the message
thread = client.beta.threads.create(
    messages=[
        {
            "role": "user",
            "content": "How many company shares were outstanding last quarter?",
            # Attach the new file to the message
            "attachments": [
                {"file_id": message_file.id, "tools": [{"type": "file_search"}]}
            ],
        }
    ]
)

# The thread now has a vector store with that file in its tool resources
print(thread.tool_resources.file_search)

vector_store_ids = thread.tool_resources.file_search.vector_store_ids


# Update the assistant with the correct vector_store_ids
assistant123 = client.beta.assistants.update(
    assistant_id=assistant.id,
    description="test",
    instructions="You are an expert financial analyst. Use your knowledge base to answer questions about audited financial statements.",
    tools=[{
        "type": "file_search",
        "file_search": {
            "max_num_results": 5,
            "ranking_options": {
                "score_threshold": 0.6
            }
        }
    }],
    tool_resources={"file_search": {"vector_store_ids": vector_store_ids}},
    temperature=0.00001,
    model="gpt4o"
)

Action Plan:

Try with api-version: 2024-08-01-preview
Ensure that you have given the correct model name in your code.
Try with my above sample and check if that helps.

Hope this helps. If you have any follow-up questions, please let me know. I would be happy to help.

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