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adk-python

v1.35.0 Feature

This release adds 1 notable feature for engineering teams evaluating rollout.

✓ No known CVEs patched
Read the diff → Tool health → What is this tool? →

✓ No known CVEs patched in this version

Topics

agent agentic agentic-ai agents agents-sdk ai
+10 more
ai-agents aiagentframework genai genai-chatbot llm llms multi-agent multi-agent-systems multi-agents multi-agents-collaboration

Summary

AI summary

Bug fixes and a feature update for Gemini Live 3.1 handling in adk-python version 1.35.0 released on 2026-06-10.

Changes in this release

Feature Medium

Handle input transcription differently for Gemini Live 3.1 models

Handle input transcription differently for Gemini Live 3.1 models

Source: llm_adapter@2026-06-10

Confidence: high

Feature Medium

Default grounding metadata for Gemini 3.1 live models

Default grounding metadata for Gemini 3.1 live models

Source: llm_adapter@2026-06-10

Confidence: high

Feature Medium

Support generalized history config injection for Gemini 3.1 Live on Vertex AI

Support generalized history config injection for Gemini 3.1 Live on Vertex AI

Source: llm_adapter@2026-06-10

Confidence: high

Bugfix Medium

Add missing Gemini imports in base_llm_flow

Add missing Gemini imports in base_llm_flow

Source: llm_adapter@2026-06-10

Confidence: high

Bugfix Medium

Reset reconnect attempts on connection success in flows

Reset reconnect attempts on connection success in flows

Source: llm_adapter@2026-06-10

Confidence: high

Full changelog

1.35.0 (2026-06-10)

Features

  • live: Handle input transcription differently for Gemini Live 3.1 models (#6045) (ecfdaf5)

Bug Fixes

  • add missing Gemini imports in base_llm_flow (#5943) (6d027b4)
  • flows: Reset reconnect attempts on connection success (#6042) (87abf23)
  • models: Default grounding metadata for Gemini 3.1 live (#6018) (fafafb3)
  • Support generalized history config injection for Gemini 3.1 Live on Vertex AI (#5999) (aafd97f)

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About adk-python

An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

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Related context

Beta — feedback welcome: [email protected]