🧪 Early Access — Free during Beta
Your AI agent passes the demo.
Your AI agent passes the demo.
Will it pass production?
Deterministic CI testing for non-deterministic agent workflows.
Define expectations.
Run agents. Get pass/fail in your pipeline.
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Sound familiar?
- "I can't write unit tests for my agent — the output is different every time." Traditional assert-based testing fails for LLM outputs.
- "LangSmith gives me traces, DeepEval gives me metrics, but nothing gives me CI pass/fail." Existing tools are fragmented: observability ≠ testing.
- "We had a prod incident because the agent hallucinated a tool call." No regression framework catches agent behavior changes before deploy.
What AgentProbe does
- Define behavioral expectations — not exact output matches. Test intent, not tokens.
- Run agents in CI pipelines — get deterministic pass/fail results from non-deterministic workflows.
- Catch regressions before deploy — detect behavior changes across prompt updates and model swaps.
Be the first to test your agents with confidence.
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We'll notify you when the beta is ready.