OpenAI has announced major updates to its Assistants API. The API now includes an improved search tool called file_search, which can ingest up to 10,000 files per Assistant - a 500x increase over the previous version. In addition to file_search, OpenAI introduces vector_store objects that automate file parsing, chunking, and embedding for seamless searches. The update also includes granular control over token usage, support for common model configuration parameters such as temperature and peak P-value, and the ability to use fine-tuned models, though initially limited to gpt-3.5-turbo-0125. The API now supports streaming, and streaming and polling helper functions have been added to the OpenAI Node and Python SDKs. Developers should consult the migration guide to learn how to upgrade their tool usage to the latest version of the Assistants API.
OpenAI's Assistants API gets major update with improved file search, vector storage, and more
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