Add Support for GPT-4o November 2024 Model and Update Configurations

[KennyDizi]

PR Type

Dependencies, Configuration

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PR Description

• Added support for the new gpt-4o-2024-11-20 model across configuration files
• Updated model configurations to use the latest GPT-4o model variants
• Upgraded litellm dependency to version 1.52.12 to ensure compatibility

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Changes Walkthrough

	Relevant files
Dependencies	__init__.py Add GPT-4o November 2024 Model Token Configuration              pr_agent/algo/init.py Added new model gpt-4o-2024-11-20 to the model token configuration Specified token limit of 128,000 for the new model +1/-0      requirements.txt Upgrade LiteLLM Dependency                                                              requirements.txt Upgraded litellm from version 1.52.0 to 1.52.12 +1/-1
Configuration	configuration.toml Update Default and Fallback Model Configurations                  pr_agent/settings/configuration.toml Updated model_turbo to gpt-4o-2024-11-20 Updated fallback_models to use gpt-4o-2024-08-06 +2/-2

[KennyDizi]

🌟 🌔 The PR description is now updated to correspond with the most recent commit (7d1b6c2).

[KennyDizi]

PR Analysis 🌴

🌈 🌴 These observations could help streamline our PR review:

⏰  Estimated effort to review 2, because the changes are straightforward, focusing on adding support for a new model, updating configurations, and bumping a dependency version. The changes are well-contained and do not introduce complex logic.

🥇  Score 95, because the PR is well-structured, introduces minimal risk, and aligns with the stated purpose of adding support for a new model and updating configurations. However, there is a slight lack of clarity in testing coverage for the new model.

🐳  Recommended focus areas for review Code Smell The growing list of model configurations in the dictionary may become harder to maintain over time. Consider refactoring this into a more scalable structure, such as loading configurations from a file or database. Configuration Consistency Ensure that the new model_turbo and fallback_models configurations are tested and validated for compatibility with the rest of the system. Dependency Update Verify that the updated litellm dependency (version 1.52.12) does not introduce breaking changes or incompatibilities with existing functionality.