bump(deps): bump google-adk from 1.4.2 to 1.18.0

[dependabot]

Bumps google-adk from 1.4.2 to 1.18.0.

Release notes

Sourced from google-adk's releases.

Release 1.18.0

1.18.0 (2025-11-05)

Features

• [ADK Visual Agent Builder]

  • Core Features
    • Visual workflow designer for agent creation
    • Support for multiple agent types (LLM, Sequential, Parallel, Loop, Workflow)
    • Agent tool support with nested agent tools
    • Built-in and custom tool integration
    • Callback management for all ADK callback types (before/after agent, model, tool)
    • Assistant to help you build your agents with natural language
    • Assistant proposes and writes agent configuration yaml files for you
    • Save to test with chat interfaces as normal
    • Build and debug at the same time in adk web!

• [Core]

  • Add support for extracting cache-related token counts from LiteLLM usage (4f85e86)
  • Expose the Python code run by the code interpreter in the logs (a2c6a8a)
  • Add run_debug() helper method for quick agent experimentation (0487eea)
  • Allow injecting a custom Runner into agent_to_a2a (156d235)
  • Support MCP prompts via the McpInstructionProvider class (88032cf)

• [Models]

  • Add model tracking to LiteLlm and introduce a LiteLLM with fallbacks demo (d4c63fc)
  • Add ApigeeLlm as a model that lets ADK Agent developers to connect with an Apigee proxy (87dcb3f)

• [Integrations]

  • Add example and fix for loading and upgrading old ADK session databases (338c3c8)
  • Add support for specifying logging level for adk eval cli command (b1ff85f)
  • Propagate LiteLLM finish_reason to LlmResponse for use in callbacks (71aa564)
  • Allow LLM request to override the model used in the generate content async method in LiteLLM (ce8f674)
  • Add api key argument to Vertex Session and Memory services for Express Mode support (9014a84)
  • Added support for enums as arguments for function tools (240ef5b)
  • Implement artifact_version related methods in GcsArtifactService (e194ebb)

• [Services]

  • Add support for Vertex AI Express Mode when deploying to Agent Engine (d4b2a8b)
  • Remove custom polling logic for Vertex AI Session Service since LRO polling is supported in express mode (546c2a6)
  • Make VertexAiSessionService fully asynchronous (f7e2a7a)

• [Tools]

  • Add Bigquery detect_anomalies tool (9851340)
  • Extend Bigquery detect_anomalies tool to support future data anomaly detection (38ea749)
  • Add get_job_info tool to BigQuery toolset (6429457)

• [Evals]

  • Add "final_session_state" to the EvalCase data model (2274c4f)
  • Marked expected_invocation as optional field on evaluator interface (b17c8f1)

... (truncated)

Changelog

Sourced from google-adk's changelog.

1.18.0 (2025-11-05)

Features

• [ADK Visual Agent Builder]

  • Core Features
    • Visual workflow designer for agent creation
    • Support for multiple agent types (LLM, Sequential, Parallel, Loop, Workflow)
    • Agent tool support with nested agent tools
    • Built-in and custom tool integration
    • Callback management for all ADK callback types (before/after agent, model, tool)
    • Assistant to help you build your agents with natural language
    • Assistant proposes and writes agent configuration yaml files for you
    • Save to test with chat interfaces as normal
    • Build and debug at the same time in adk web!

• [Core]

  • Add support for extracting cache-related token counts from LiteLLM usage (4f85e86)
  • Expose the Python code run by the code interpreter in the logs (a2c6a8a)
  • Add run_debug() helper method for quick agent experimentation (0487eea)
  • Allow injecting a custom Runner into agent_to_a2a (156d235)
  • Support MCP prompts via the McpInstructionProvider class (88032cf)

• [Models]

  • Add model tracking to LiteLlm and introduce a LiteLLM with fallbacks demo (d4c63fc)
  • Add ApigeeLlm as a model that lets ADK Agent developers to connect with an Apigee proxy (87dcb3f)

• [Integrations]

  • Add example and fix for loading and upgrading old ADK session databases (338c3c8)
  • Add support for specifying logging level for adk eval cli command (b1ff85f)
  • Propagate LiteLLM finish_reason to LlmResponse for use in callbacks (71aa564)
  • Allow LLM request to override the model used in the generate content async method in LiteLLM (ce8f674)
  • Add api key argument to Vertex Session and Memory services for Express Mode support (9014a84)
  • Added support for enums as arguments for function tools (240ef5b)
  • Implement artifact_version related methods in GcsArtifactService (e194ebb)

• [Services]

  • Add support for Vertex AI Express Mode when deploying to Agent Engine (d4b2a8b)
  • Remove custom polling logic for Vertex AI Session Service since LRO polling is supported in express mode (546c2a6)
  • Make VertexAiSessionService fully asynchronous (f7e2a7a)

• [Tools]

  • Add Bigquery detect_anomalies tool (9851340)
  • Extend Bigquery detect_anomalies tool to support future data anomaly detection (38ea749)
  • Add get_job_info tool to BigQuery toolset (6429457)

• [Evals]

  • Add "final_session_state" to the EvalCase data model (2274c4f)
  • Marked expected_invocation as optional field on evaluator interface (b17c8f1)
  • Adds LLM-backed user simulator (54c4ecc)

... (truncated)

Commits

• 0b1784e fix: Update dependency version constraints to be based on PyPI versions
• e01e54e chore: Bumps version to v1.18.0 and updates CHANGELOG.md
• 63353b2 feat: Refactor gepa sample code and clean-up user demo colab
• 4284c61 fix: agent evaluations detailed output rows wrapping issue
• 0c49aef chore: correct typo in pyproject.toml (swtich → switch)
• d4b2a8b feat: Add support for Vertex AI Express Mode when deploying to Agent Engine
• 033f5a5 feat: Add configuration options to BigQuery logging plugin
• 88032cf feat: Support MCP prompts
• 11571c3 fix: Reduce logging spam for MCP tools without authentication
• 432d30a chore: Add Community Repo section to README
• Additional commits viewable in compare view

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[dependabot]

Superseded by #143.