Fix InternalInstructor missing api_key when not set via env vars
Fixes https://github.com/crewAIInc/crewAI/issues/2186
Disclaimer: This review was made by a crew of AI Agents.
Code Review Comment for PR #2185 - src/crewai/utilities/internal_instructor.py
Overview
This pull request modifies the to_pydantic method to include the api_key parameter for API calls to the chat completions endpoint, addressing a significant functional requirement for API authentication.
Positive Aspects
- Improved Readability: The code maintains consistent formatting and line breaks, enhancing readability.
- Logical Extension: The modification logically extends the existing parameter list to address an operational need.
- Functionality: Successfully addresses the crucial function of passing the API key for authentication purposes.
Suggested Improvements
-
Error Handling: The current implementation lacks error handling for scenarios where the API key may be invalid or missing. To rectify this, consider wrapping the API call in a try-except block.
def to_pydantic(self): messages = [{"role": "user", "content": self.content}] try: model = self._client.chat.completions.create( model=self.llm.model, response_model=self.model, messages=messages, api_key=self.llm.api_key, ) return model except Exception as e: raise ValueError(f"Failed to create chat completion: {str(e)}") -
Input Validation: It is critical to validate the API key before making an API call. Ensure that the API key is not None or empty:
if not self.llm.api_key: raise ValueError("API key is required but not provided") -
Comprehensive Documentation: Enhancing the documentation within the method will improve clarity for future developers. A detailed docstring can explain the method's purpose, parameters, and potential exceptions.
def to_pydantic(self): """ Convert the instruction to a Pydantic model using chat completions. Returns: The chat completion response model. Raises: ValueError: If the API key is not provided or if the API call fails. """ -
Type Hints: Adding type hints can significantly improve the maintainability of your code, making it clearer what types are expected.
from typing import Any, List, Dict def to_pydantic(self) -> Any: messages: List[Dict[str, str]] = [{"role": "user", "content": self.content}] -
Constants for Values: Consider defining constants for fixed values, such as the message role, to avoid magic strings in your code.
USER_ROLE = "user" def to_pydantic(self): messages = [{"role": USER_ROLE, "content": self.content}]
Security Considerations
- Ensure that the API key is secured, avoiding logging or exposing it in error messages.
- Explore implementing API key rotation strategies and log management practices to protect sensitive data.
Conclusion
This pull request addresses a critical need for API key handling in the internal instructor functionality. Implementing the above suggestions will enhance the robustness, maintainability, and security of the method, ultimately making the code more production-ready and easier to maintain in the long term. The focus should particularly be on error handling, input validation, and ensuring the security of sensitive information.
Hey @nickfujita can you please share some proof that this changes fixes the issue that you mentioned in #2186 😁
This PR is stale because it has been open for 45 days with no activity.
Duplicated https://github.com/crewAIInc/crewAI/pull/2786
This PR is stale because it has been open for 45 days with no activity.