Issue 1467 Fix

[UntidyPhishBass]

User description

🔧 fix: normalize openai/ model prefix in aembedding and acompletion

Summary:
Fixes inconsistent and conditional handling of openai/ prefix in model names. Previously, aembedding only applied the prefix when custom_api_key was not set, leading to malformed model names like openai/openai/... and broken usage tracking.

Changes:

• Normalize model name in both aembedding and acompletion:

  model = f"openai/{model.removeprefix('openai/')}"
  

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PR Type

Bug fix

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Description

• Fix inconsistent openai/ prefix handling in model names

• Normalize model prefix in both acompletion and aembedding functions

• Prevent malformed model names like openai/openai/...

• Remove conditional prefix application in aembedding

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Changes diagram

flowchart LR
  A["Model Name Input"] --> B["removeprefix('openai/')"]
  B --> C["Add 'openai/' prefix"]
  C --> D["Normalized Model Name"]

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Changes walkthrough 📝

	Relevant files
Bug fix	litellm.py Normalize openai model prefix handling                                      src/agents-api/agents_api/clients/litellm.py Normalize model prefix in acompletion function using removeprefix Remove conditional prefix logic from aembedding function Apply consistent prefix normalization to both functions +2/-3

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PR Reviewer Guide 🔍

Here are some key observations to aid the review process:

⏱️ Estimated effort to review: 2 🔵🔵⚪⚪⚪

🧪 No relevant tests

🔒 No security concerns identified

⚡ Recommended focus areas for review Logic Consistency The acompletion function applies model normalization after retrieving the secret, while aembedding applies it at the beginning. This inconsistency could lead to different behavior when custom API keys are involved, and the normalized model name might affect secret retrieval logic. model = f"openai/{model.removeprefix('openai/')}" # This is needed for litellm supported_params: list[str] = ( get_supported_openai_params(model) or [] ) # Supported params returns Optional[list[str]] supported_params += ["user", "mock_response", "stream_options"] settings = {k: v for k, v in kwargs.items() if k in supported_params} # NOTE: This is a fix for Mistral API, which expects a different message format if model[7:].startswith("mistral"): messages = [ {"role": message["role"], "content": message["content"]} for message in messages ] for message in messages: if "tool_calls" in message and message["tool_calls"] == []: message.pop("tool_calls") model_response = await _acompletion( model=model, messages=messages, **settings, base_url=None if custom_api_key else litellm_url, api_key=custom_api_key or litellm_master_key, ) response = patch_litellm_response(model_response) # Track usage in database if we have a user ID (which should be the developer ID) user = settings.get("user") if user and isinstance(response, ModelResponse): try: model = response.model await track_usage( developer_id=UUID(user), model=model, messages=messages, response=response, custom_api_used=custom_api_key is not None, metadata={"tags": kwargs.get("tags", [])}, ) except Exception as e: # Log error but don't fail the request if usage tracking fails print(f"Error tracking usage: {e}") return response @wraps(_aembedding) @beartype async def aembedding( *, inputs: str | list[str], model: str = embedding_model_id, embed_instruction: str | None = None, dimensions: int = embedding_dimensions, join_inputs: bool = False, custom_api_key: str | None = None, **settings, ) -> list[list[float]]: model = f"openai/{model.removeprefix('openai/')}" # This is needed for litellm

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PR Code Suggestions ✨

Explore these optional code suggestions:

Category	Suggestion	Impact
General	Improve Python version compatibility The removeprefix method was introduced in Python 3.9. For better compatibility with older Python versions, consider using string slicing or startswith check instead. src/agents-api/agents_api/clients/litellm.py [79] -model = f"openai/{model.removeprefix('openai/')}" # This is needed for litellm +model = f"openai/{model[7:] if model.startswith('openai/') else model}" # This is needed for litellm Apply / Chat Suggestion importance[1-10]: 8 __ Why: The suggestion correctly identifies that str.removeprefix() is only available in Python 3.9+ and provides a backward-compatible alternative, preventing potential runtime errors in older environments.	Medium
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Changes requested ❌

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1. src/agents-api/agents_api/clients/litellm.py:140

• Draft comment:
  Normalization is applied unconditionally in aembedding now. Consider aligning the handling logic with acompletion (perhaps via a shared utility) to prevent potential inconsistencies in future changes.
• Reason this comment was not posted:
  Marked as duplicate.

Workflow ID: wflow_KPakXrkFTTnu106G

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[ellipsis-dev]

Consider extracting the model normalization (using removeprefix) into a helper function to avoid duplication and ensure consistent behavior across functions. Also, ensure that your minimum Python version supports str.removeprefix (Python 3.9+).