AgentCI is a CI/CD platform for AI agents that catches behavior regressions before they reach production. When a team changes a prompt, model, retrieval setup, or tool configuration, AgentCI runs realistic evaluation scenarios, captures full agent traces, checks correctness, grounding, abstention, access control, safety, latency, and cost, then compares the candidate against the production baseline. If the agent becomes inaccurate, unsafe, slow, or leaks restricted information, AgentCI blocks the release and shows exactly why through evidence, grader findings, and root-cause summaries.
