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## Summary Fixes #1679 This PR prevents the OpenAI embedding function from retrying when receiving a 401 Unauthorized error. Authentication errors are permanent failures that won't be fixed by retrying, yet the current implementation retries all exceptions up to 7 times by default. ## Changes - Modified `retry_with_exponential_backoff` in `utils.py` to check for non-retryable errors before retrying - Added `_is_non_retryable_error` helper function that detects: - Exceptions with name `AuthenticationError` (OpenAI's 401 error) - Exceptions with `status_code` attribute of 401 or 403 - Enhanced OpenAI embeddings to explicitly catch and re-raise `AuthenticationError` with better logging - Added unit test `test_openai_no_retry_on_401` to verify authentication errors don't trigger retries ## Test Plan - Added test that verifies: 1. A function raising `AuthenticationError` is only called once 2. No retry delays occur (sleep is never called) - Existing tests continue to pass - Formatting applied via `make format` ## Example Behavior **Before**: With an invalid API key, users would see 7 retry attempts over ~2 minutes: ``` WARNING:root:Error occurred: Error code: 401 - {'error': {'message': 'Incorrect API key provided...'}} Retrying in 3.97 seconds (retry 1 of 7) WARNING:root:Error occurred: Error code: 401... Retrying in 7.94 seconds (retry 2 of 7) ... ``` **After**: With an invalid API key, the error is raised immediately: ``` ERROR:root:Authentication failed: Invalid API key provided AuthenticationError: Error code: 401 - {'error': {'message': 'Incorrect API key provided...'}} ``` This provides better UX and prevents unnecessary API calls that would fail anyway. --------- Co-authored-by: Will Jones <willjones127@gmail.com>
The Multimodal AI Lakehouse
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The ultimate multimodal data platform for AI/ML applications.
LanceDB is designed for fast, scalable, and production-ready vector search. It is built on top of the Lance columnar format. You can store, index, and search over petabytes of multimodal data and vectors with ease. LanceDB is a central location where developers can build, train and analyze their AI workloads.
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| Interface | Documentation |
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