google/langextract v1.7.1 on GitHub

Highlights

Fix Gemini thinking configuration passthrough, batch tool placement, and typed configuration serialization (#553).
Fix Vertex AI batch jobs failing at import when google_search is configured without options (#561).
Surface blocked or failed Gemini batch items instead of returning empty output (#537).
Fix legacy format_type normalization in extraction (#544).
Release completed prompts before building the next batch, reducing retained memory (#543).
Clarify suppressed parsing errors (#521).
Harden fork live tests and dispatch them from main (CI only; #552).

In batch mode with the default ignore_item_errors=False, blocked items, items with a Vertex AI error status, and items that return no text with a finish reason other than STOP (for example, MAX_TOKENS) now raise InferenceRuntimeError instead of returning empty output, and results from that call are not cached. Set ignore_item_errors=True to continue past them (#537).
A thinking_config passed to the Gemini provider is now sent to the API; v1.7.0 ignored it. Callers that already set it may see different output, latency, or cost, or an API error if the model rejects the setting (#553).
Batch cache keys now include tools. Cache entries written by v1.7.0 will not be reused, even for requests without tools, and repeated requests may incur new API charges (#553).
In strict mode, empty cached batch results are rechecked, because the cache cannot distinguish a genuine empty completion from a previously ignored failure. This may repeat requests and incur API charges. Nonempty cache hits and explicit ignore mode are unchanged (#537).
In Vertex AI batch mode, any tool other than google_search with an empty configuration, such as code_execution or url_context, now fails before upload with an InferenceRuntimeError caused by InferenceConfigError. Set an option on the tool if it has one, or disable batch mode (#561).

Full Changelog: v1.7.0...v1.7.1