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@HavenDV HavenDV commented Mar 10, 2025

Created by Github Actions

Summary by CodeRabbit

  • New Features

    • Expanded the model selection with six new identifiers, enhancing the range of available advanced options.
  • Chores

    • Streamlined offerings by retiring several legacy models for a more modernized experience.

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coderabbitai bot commented Mar 10, 2025

Walkthrough

This pull request updates two core files by modifying the available model identifiers. The changes involve adding new models with detailed metadata and removing several outdated ones. Both the enumeration in DeepInfraModelIds.cs and the model dictionary in DeepInfraModelProvider.cs have been updated to reflect these additions and removals.

Changes

File Changes
src/DeepInfra/.../DeepInfraModelIds.cs Added new model entries: Qwq32B, Phi4MultimodalInstruct, Gemini15Flash with corresponding metadata. Removed outdated models: Yi34BChat, ZephyrOrpo141BA35bV01, Starcoder215B, Codellama34BInstructHf, Codellama70BInstructHf, DbrxInstruct.
src/DeepInfra/.../DeepInfraModelProvider.cs Integrated new models into the Models dictionary: Qwq32B, Phi4MultimodalInstruct, Gemini15Flash, Gemini15Flash8B, Gemini20Flash001, and BgeM3Multi with updated metadata. Removed entries for the removed models listed above.

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Hopping through models now and then.
New entries bloom, old ones depart,
Lines of code sing like a work of art.
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@github-actions github-actions bot enabled auto-merge March 10, 2025 06:42
@github-actions github-actions bot merged commit 1be77b7 into main Mar 10, 2025
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Actionable comments posted: 0

🧹 Nitpick comments (3)
src/DeepInfra/src/DeepInfraModelIds.cs (3)

493-502: Consider adding a description for the Gemini-1.5-flash model.

While the model addition is correct with proper metadata and pricing information, the description field is empty. Consider adding a brief description of the Gemini-1.5-flash model's capabilities and features for consistency with other model entries.


504-513: Consider adding a description for the Gemini-1.5-flash-8b model.

The model entry is complete with appropriate metadata, but it would benefit from a description of the model's capabilities and use cases, similar to other model entries in this enum.


515-524: Consider adding a description for the Gemini-2.0-flash-001 model.

The model entry includes proper metadata but lacks a description. Adding information about this model's features would improve consistency with other entries and provide better documentation for developers.

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Reviewing files that changed from the base of the PR and between c71e447 and 019cd95.

📒 Files selected for processing (2)
  • src/DeepInfra/src/DeepInfraModelIds.cs (3 hunks)
  • src/DeepInfra/src/DeepInfraModelProvider.cs (3 hunks)
⏰ Context from checks skipped due to timeout of 90000ms (1)
  • GitHub Check: Build and test / Build, test and publish
🔇 Additional comments (6)
src/DeepInfra/src/DeepInfraModelIds.cs (3)

31-40: New model addition looks good.

The addition of the Qwq32B model is well-documented with complete metadata including context length, pricing information, and a comprehensive description detailing its capabilities.


42-51: Phi4MultimodalInstruct model is well-documented.

The addition of Microsoft's Phi-4-multimodal-instruct model is properly implemented with detailed metadata. The documentation clearly describes its multimodal capabilities (text, image, audio inputs) and supported languages.


823-832: Well-documented multilingual embedding model addition.

The addition of BgeM3Multi is well implemented with comprehensive documentation that clearly describes the model's multilingual capabilities and retrieval functionalities.

src/DeepInfra/src/DeepInfraModelProvider.cs (3)

14-15: New model entries are consistent with the enum definition.

The additions of Qwq32B and Phi4MultimodalInstruct to the Models dictionary are correctly implemented with appropriate metadata parameters that match their enum descriptions.


56-58: Gemini models properly added with very high context lengths.

The three Gemini models have been correctly added to the Models dictionary. Note the exceptionally high context length (1,000,000 tokens) for these models, which represents a significant capability compared to most other models in the collection.


86-86: BgeM3Multi embedding model correctly added.

The BgeM3Multi model has been properly added to the dictionary with the correct pricing structure for embedding models (input cost but no output cost).

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