OpenAI Python Library v3.14.0 Enhances Streaming Error Handling and Fixes Bugs
sdkaigaengineermedia
feature patch
OpenAI has released version 3.14.0 of its Python client library, introducing normalized error handling for streaming operations to improve reliability. This update also addresses several bug fixes, including bounding vector store file polling and normalizing API error codes. These changes aim to enhance the stability and developer experience for applications integrating with OpenAI's services via the Python SDK.
- →normalize errors raised while reading streams
- →bound vector store file polling
- →refresh realtime push_to_talk_app session types
- →normalize PathLike upload tuples
- →include completion in content filter errors
Fixes (8) ›
- bound vector store file polling
- example refresh realtime push_to_talk_app session types
- files normalize PathLike upload tuples
- include completion in content filter errors
- logging support standard OPENAI_LOG levels
- normalize API error codes to strings , closes #3531
- preserve response stream indexes after empty items
- responses handle null text in output_text
Read the original announcement →
https://github.com/openai/openai-python/releases/tag/v3.14.0
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