feat: Add comprehensive rate limit handling across API providers #2
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- Add new model identifiers to AVAILABLE_LLMS - Extend create_client for new model support - Add environment variable validation - Implement model-specific response handling - Update requirements.txt with google-cloud-aiplatform Co-Authored-By: Erkin Alp Güney <[email protected]>
Co-Authored-By: Erkin Alp Güney <[email protected]>
Co-Authored-By: Erkin Alp Güney <[email protected]>
It is quite difficult for weak models to do so based on the default template, as one error in replaced text can lead to termination of editing in the *SEARCH/REPLACE mode*. Splitting the text into segments and enabling "whole" mode editing helps solve this problem. The approach was tested on the "2d_diffusion" task using the "groq/llama3-8b-8192".
…n with segmented templates Co-Authored-By: Erkin Alp Güney <[email protected]>
…on support Co-Authored-By: Erkin Alp Güney <[email protected]>
…rs, and template compatibility Co-Authored-By: Erkin Alp Güney <[email protected]>
- Add retry limit and better error handling in extract_json_between_markers - Replace assert statements with try-catch blocks across all files - Add proper error messages and recovery mechanisms - Prevent infinite loops when JSON extraction fails Fixes SakanaAI#154 Co-Authored-By: Erkin Alp Güney <[email protected]>
- Add RateLimitHandler class for managing rate limits - Implement provider-specific request queues and locks - Add proper error handling and logging - Extend backoff patterns to all API providers - Add user feedback during rate limiting Fixes SakanaAI#155 Co-Authored-By: Erkin Alp Güney <[email protected]>
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Add comprehensive rate limit handling across API providers
This PR implements robust rate limit handling across all API providers used in the AI-Scientist framework, addressing the continuous retry issue (SakanaAI#155).
Changes
Implementation Details
rate_limit.pymodule for rate limit handlingTesting
The changes have been tested by:
Impact
These changes make the system more robust by:
Fixes SakanaAI#155
Link to Devin run: https://app.devin.ai/sessions/2ec43d6fe7a84849a348753167e5a895