Google Gemini API
This release introduces a new field `custom_vocabulary` to the BidiGenerateContentSetup message, adds a model selector, includes a queued status for interaction proto, and makes ASR fields public in v1main and Interactions.
This release introduces a new field `custom_vocabulary` to the BidiGenerateContentSetup message, adds a model selector, includes a queued status for interaction proto, and makes ASR fields public in v1main and Interactions.
This release introduces several new features including the addition of AntigravityAgentConfig and history config, support for preserving custom headers for GAOS, and the new Triggers resource in the GoogleGenAI client.
This release introduces several new features including 'environment_id' in network config, 'response_format' and 'Translation_config' in GenerationConfig, and support for Function declarations during Agent Creation. Additionally, it includes a bug fix for interactions to accept both dict and list[dict] for transform.
The Google Gemini API v2.10.0 introduces new features including 'ComputerUse.disabled_safety_policies', usage fields for steps, and parameters for video generation and response format.
This release introduces several new features including 'audioOffset' for VoiceActivity, 'interimInputTranscription' for LiveServerContent, and enhancements to AudioTranscriptionConfig with 'LanguageAuto', 'LanguageHints', and 'adaptationPhrases'. Additionally, it adds 'ServiceTier' to UsageMetadata and exposes new fields in the Computer Use API.
This release introduces several new features to the Google Gemini API, including the addition of the `ServiceTier` to `UsageMetadata`, new fields in the Computer Use API, and enhancements to the interaction API with new response messages and configuration options.
This release introduces several new features including support for Agent Platform MCP in async content generation, a new transcription language code, a TranslationConfig for live translation, and the addition of ReinforcementTuning support in the GenAI SDK with a ValidateReward API method.
This release introduces several new features including the addition of Skill Registry ListSkills and DeleteSkill to the SDK, support for an additional computer_use field in vertex, and the ability to use 'text/csv' as a supported document mime type for the Interaction API.
The Google Gemini API v2.6.0 introduces the `enable_prompt_injection_detection` feature for Computer Use, adds a `budget_exceeded` status, and includes new fields along with the addition of `gemini-3.5-flash`.
The Google Gemini API v1.48.0 introduces a new feature that supports dedicated TextAnnotationDelta for streaming tool responses and includes a bug fix for service_tier enums.
The Google Gemini API v1.47.0 introduces several new features, including custom metadata for FileSearchResult, additional fields in Veo configs, and enhanced support for various MIME types in content interactions. It also adds model status and service tier information to responses.
The Google Gemini API v1.46.0 introduces several breaking changes to the Interactions API, including refactoring of TextContent annotations and renaming of certain fields. Additionally, new features such as support for Google Maps and updated 'signature' fields have been added, along with a bug fix for quoting a key in LiveClientMessage.
Version 1.45.0 of the Google Gemini API introduces new features including the addition of inference_generation_config to EvaluationConfig for Tuning and support for language code in audio transcription config for the Live API in Vertex AI.
The Google Gemini API v1.44.0 introduces a new model for image previews, enhances support for interaction tool signatures, and updates data types based on the discovery document.
The Google Gemini API v1.43.0 introduces new features such as support for the gemini-3.1-pro-preview model, Image Grounding in the GoogleSearch tool, and enhanced image size support, while also implementing a breaking change by changing the interactions media mime type to an enum.
The Google Gemini API v1.42.0 introduces support for multimodal embedding in Gemini Embedding 2.0 and adds support for MaaS models in the Models.embed_content() method of the Vertex AI API.