adk-docs
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An open-source, code-first toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
This PR adds documentation for the OAuth2 Client Credentials grant type, as requested in issue #744.
This PR adds documentation for the new support for customizable template SQL and parameterized SQL in the Spanner toolset, as requested in issue #744.
This PR adds documentation for the new `dry_run` parameter in the BigQuery `execute_sql` tool, as requested in issue #744.
This PR adds documentation for the new LLM context compaction feature, as requested in issue #744.
This issue outlines the necessary documentation updates based on the changes in the ADK Python repository from release v1.15.1 to v1.16.0. **Compare Link:** https://github.com/google/adk-python/compare/v1.15.1...v1.16.0 Here are the recommended changes: 1....
The [ADK Cloud Run deployment docs](https://google.github.io/adk-docs/deploy/cloud-run/#options) lists `--agent_engine_id` as an option for `adk deploy cloud_run`, implying I can deploy an agent to Cloud Run while using Vertex AI Agent Engine...
As per [llmstxt.org](https://llmstxt.org/) the `llms.txt` file should ideally provide an index to the key resources in folder, site or repo. It should provide a list of links, where each link...
I have analyzed the changes between ADK Python releases v1.15.0 and v1.15.1 and identified the following documentation updates that are needed. **Compare Link**: https://github.com/google/adk-python/compare/v1.15.0...v1.15.1 Here are the recommended changes: ###...
The ADK Python repository has been updated from v1.14.1 to v1.15.0, introducing new features and samples. The following documentation updates are required to reflect these changes. **Compare Link**: https://github.com/google/adk-python/compare/v1.14.1...v1.15.0 Here...