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This adds a new integration package `databricks-google-adk` that provides Databricks AI tools for Google Agent Development Kit (ADK) agents: - VectorSearchRetrieverTool: Search Databricks Vector Search indexes - GenieTool: Query Databricks Genie AI/BI spaces - DatabricksToolset: Bundle multiple Databricks tools together The integration follows the existing patterns from other framework integrations (langchain, llamaindex, openai) and reuses the core VectorSearchRetrieverToolMixin for consistent behavior.
This adds two major features to the Google ADK integration: 1. DatabricksMcpToolset - Connect to Databricks MCP servers: - UC Functions MCP via for_uc_functions() - Vector Search MCP via for_vector_search() - Genie MCP via for_genie() 2. Vertex AI Agent Engine deployment: - DatabricksAgentEngineApp for wrapping agents - deploy_to_agent_engine() one-step deployment - create_agent_engine_config() for custom configs - Automatic handling of Databricks credentials via Secret Manager
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