Azure Passthrough

Pass-through endpoints for /azure

Overview

Feature	Supported	Notes
Cost Tracking	✅	v1 API paths only: /v1/chat/completions, /v1/embeddings, /v1/images/generations, /v1/images/edits, /v1/responses. Deployments-style paths (/openai/deployments/...) are logged without cost
Logging	✅	Works across all integrations
Streaming	✅	Fully supported

When to use this?

• For most use cases, you should use the native LiteLLM Azure OpenAI Integration (/chat/completions, /embeddings, /completions, /images, etc.)
• Use this passthrough to call newer or less common Azure OpenAI endpoints that LiteLLM doesn't fully support yet, such as /assistants, /threads, /vector_stores

Simply replace your Azure endpoint (e.g. https://<your-resource-name>.openai.azure.com) with LITELLM_PROXY_BASE_URL/azure

Usage Examples

Assistants API

Create Azure OpenAI Client

Make sure you do the following:

• Point azure_endpoint to your LITELLM_PROXY_BASE_URL/azure
• Use your LITELLM_API_KEY as the api_key

import openai

client = openai.AzureOpenAI(
    azure_endpoint="http://0.0.0.0:4000/azure",  # <your-proxy-url>/azure
    api_key="sk-anything",  # <your-proxy-api-key>
    api_version="2024-05-01-preview"  # required Azure API version
)

Create an Assistant

assistant = client.beta.assistants.create(
    name="Math Tutor",
    instructions="You are a math tutor. Help solve equations.",
    model="gpt-4o",
)

Create a Thread

thread = client.beta.threads.create()

Add a Message to the Thread

message = client.beta.threads.messages.create(
    thread_id=thread.id,
    role="user",
    content="Solve 3x + 11 = 14",
)

Run the Assistant

run = client.beta.threads.runs.create(
    thread_id=thread.id,
    assistant_id=assistant.id,
)

# Check run status
run_status = client.beta.threads.runs.retrieve(
    thread_id=thread.id,
    run_id=run.id
)

Retrieve Messages

messages = client.beta.threads.messages.list(
    thread_id=thread.id
)

Delete the Assistant

client.beta.assistants.delete(assistant.id)