add back fireworks (JUD-1951)

[Mandolaro]

📝 Summary

• 1. Add back fireworks wrapping

✅ Checklist

• Docs updated (if necessary)
• Changelogs are updated (if necessary)

[linear]

JUD-1951 Add back Fireworks

[gemini-code-assist]

Summary of Changes

Hello @Mandolaro, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request reintroduces and enhances the tracing capabilities for Fireworks Large Language Models within the system. The changes enable the platform to properly monitor and log interactions with Fireworks LLM services, ensuring that usage data and responses are captured and formatted correctly for analysis. This is crucial for maintaining comprehensive observability across different LLM providers.

Highlights

• Fireworks LLM Integration: Added comprehensive support for tracing Fireworks LLM API calls, including direct client instances and those used within TrainableModel.
• Provider Detection and Data Extraction: Implemented logic to detect Fireworks clients and extract content, usage, and token information from Fireworks streaming chunks and responses.
• Model Name Standardization: Ensured that Fireworks model names are consistently prefixed with "fireworks_ai/" for standardized tracing.
• API Call Wrapping: Applied wrapping to chat.completions.create and completions.create methods for both synchronous and asynchronous Fireworks clients and LLM instances.

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[gemini-code-assist]

Code Review

This pull request adds support for Fireworks AI tracing. The changes are extensive, touching provider detection, data extraction, and client wrapping logic. Overall, the implementation is on the right track, but I've identified several areas for improvement regarding code duplication, robustness, and clarity. Key suggestions include refactoring for safer attribute access to prevent potential runtime errors, removing redundant code blocks, and simplifying logic for better maintainability.