Automated agent evaluation with Amazon Bedrock AgentCore and GitHub Actions
Not a pilot. Deploy agents with automated regression testing — Amazon just wired agent evals into your CI/CD.
Why it matters
Agent reliability engineering is moving from ad-hoc testing to production discipline. This is how teams ship agents without breaking production workflows — automated eval gates in the deploy pipeline.
The key facts
8 to knowAmazon Bedrock AgentCore evaluation framework integrated with GitHub Actions
Agent behavior regression detection with automatic PR blocking
OAuth-protected MCP server deployment to AgentCore runtime
Test-driven agent deployment workflow (test prompts, scoring, gate logic)
Amazon Bedrock AgentCore now integrates with GitHub Actions for automated evaluation
Enables automated pull-request blocking when agent behavior regresses
Test prompts scored against baseline agent responses
Agent evaluation as a CI/CD gate (not manual review)
Go to the source
AWS Machine Learning Blogaws.amazon.com
Publisher excerpt: Wire Amazon Bedrock AgentCore Evaluations into a GitHub Actions pipeline: deploy an AI agent and an OAuth-protected MCP server to AgentCore runtime, invoke the agent with test prompts, score the responses, and automatically block pull requests when agent behavior regresses.