AI Agent Evals in CI
Evals are the test suite for an AI agent's behavior. Without them, every prompt tweak is a silent gamble — you change a word and find out in production whether accuracy dropped. agentFast ships evals that run in CI and fail the build on a regression.
A judge that can't be contaminated
The LLM judge runs in a fresh context — it sees the output and the rubric, never the agent's reasoning — so it can't be talked into a passing grade.
Fails closed
The judge is read-only and fails closed: if it can't reach a confident verdict, the case does not silently pass.
Deterministic scorers
Free, auditable scorers for containment, tool-use and grounding — fast and reproducible, exactly what you want gating a PR.
agentfast eval
# runs the seeded cases, prints per-metric scores
# exits 1 if any metric is below its configured thresholdagentfast.yaml. Drop agentfast eval into CI and a change that regresses accuracy, tool-use, or grounding turns the build red before it reaches a customer. Each template ships with 15 seeded eval cases to start from.Eval outcomes land in the same per-run telemetry as cost and latency, so you track quality alongside spend. See them in the SupportAgent, ResearchAgent, and CodeAgent templates.
agentFast is the production layer — memory, 50 tools, observability, evals, guardrails, human-in-the-loop — for LangGraph, CrewAI, the Claude & OpenAI Agent SDKs & Vanilla. Own it for life.
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