[Bug]: Pydantic warnings at every embedding call for Azure

[jeromeroussin]

What happened?

I am seeing a ton of these in my logs:

UserWarning: Pydantic serializer warnings: Expected list[float] but got str - serialized value may not be as expected

I added these lines at the top of the litellm app:

import warnings warnings.filterwarnings("error")

and got this tracktrace:

#9 10.27 Traceback (most recent call last): #9 10.27 File "/usr/local/lib/python3.11/site-packages/litellm/proxy/proxy_server.py", line 1108, in embeddings #9 10.27 response = await llm_router.aembedding(data) #9 10.27 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ #9 10.27 File "/usr/local/lib/python3.11/site-packages/litellm/router.py", line 374, in aembedding #9 10.27 return await litellm.aembedding({**data, "input": input, "caching": self.cache_responses, "client": model_client, **kwargs}) #9 10.27 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ #9 10.27 File "/usr/local/lib/python3.11/site-packages/litellm/utils.py", line 1792, in wrapper_async #9 10.27 raise e #9 10.27 File "/usr/local/lib/python3.11/site-packages/litellm/utils.py", line 1723, in wrapper_async #9 10.27 result = await original_function(*args, **kwargs) #9 10.27 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ #9 10.27 File "/usr/local/lib/python3.11/site-packages/litellm/main.py", line 1772, in aembedding #9 10.27 raise exception_type( #9 10.27 ^^^^^^^^^^^^^^^ #9 10.27 File "/usr/local/lib/python3.11/site-packages/litellm/utils.py", line 5194, in exception_type #9 10.27 raise original_exception #9 10.27 File "/usr/local/lib/python3.11/site-packages/litellm/main.py", line 1765, in aembedding #9 10.27 response = await init_response #9 10.27 ^^^^^^^^^^^^^^^^^^^ #9 10.27 File "/usr/local/lib/python3.11/site-packages/litellm/llms/azure.py", line 361, in aembedding #9 10.27 raise e #9 10.27 File "/usr/local/lib/python3.11/site-packages/litellm/llms/azure.py", line 344, in aembedding #9 10.27 stringified_response = response.model_dump_json() #9 10.27 ^^^^^^^^^^^^^^^^^^^^^^^^^^ #9 10.27 File "/usr/local/lib/python3.11/site-packages/pydantic/main.py", line 352, in model_dump_json #9 10.27 return self.pydantic_serializer.to_json(

Relevant log output

No response

Twitter / LinkedIn details

No response

[ishaan-jaff]

I'm trying to reproduce this error on my side, what request are you sending the proxy?

I tried this and don't see any warnings

curl --location 'http://0.0.0.0:8000/embeddings' \
  --header 'Content-Type: application/json' \
  --data ' {
  "model": "azure-embedding-model",
  "input": ["write a poem", "hi"]
  }'

[jeromeroussin]

I am making calls like this to the proxy with openai version < 1.0:

embeddings = await openai.Embedding.acreate(model=model, input=['random sentence here'], user='foo')

[ishaan-jaff]

looking into this

• I don't see this error with curl requests to the proxy

[ishaan-jaff]

okay, I can repro this now:

I see this warning:

/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/site-packages/pydantic/main.py:352: UserWarning: Pydantic serializer warnings:
  Expected `list[float]` but got `str` - serialized value may not be as expected
  return self.__pydantic_serializer__.to_json(

When making this request to the proxy:

import openai
client = openai.OpenAI(
    api_key="anything",
    base_url="http://0.0.0.0:8000"
)

embedding_response = client.embeddings.create(
    model="azure/azure-embedding-model",
    input=["random sentence here"],
    user="food"
)

print(embedding_response)

[ishaan-jaff]

we only see this when making requests with the OpenAI python package because the package sends requests with 'encoding_format': 'base64' and those requests respond with str instead of list[float]

[ishaan-jaff]

when running model_dump_json() it expects List[float] https://github.com/openai/openai-python/blob/main/src/openai/types/embedding.py

[ishaan-jaff]

able to repro this error with this code snippet using the OpenAI package

import openai

    client = openai.AsyncAzureOpenAI(
        api_key=os.environ["AZURE_API_KEY"],
        azure_endpoint=os.environ["AZURE_API_BASE"]
    )

    async def _test():
        response = await client.embeddings.create(
                model="azure-embedding-model",
                input=["write a litellm poem"],
                encoding_format="base64"

        )

        print(response)

        response = response.model_dump_json()

        print(response)
        import json
        response = json.loads(response)
        print(response)
    import asyncio
    asyncio.run(_test())

[ishaan-jaff]

Fix 1 is to stop using this line: stringified_response = response.model_dump_json()