Define what your agent should say, do, and never do. Run those tests on demand before release, then apply the same test suite automatically to real user interactions.
Test a real agent response · no signup.Read the docs
An agent trace can flow through OTLP into Mibo. After evaluating the run, Mibo returns either Test Passed or Test Failed.
One test suite. Run it before and after release.
Mibo is built for AI agent testing: run deliberate scenarios on demand, then keep applying the same tests automatically as users interact with your agent.
Test deliberately before release
Choose a scenario and run it against your real agent. Check the response and the tools, values, latency, token usage, and execution steps behind it.
Semantic response checks
Procedural assertions
Repeatable scenarios
Step-by-step diagnosis
Test real interactions automatically
Keep testing after release without replaying customer traffic. Mibo matches each completed agent run to the relevant tests and records the evidence.
Scenario classification
Real-interaction test history
Coverage by scenario
Regression evidence
Test the whole agent run
Inspect inputs, tool calls, outputs, and execution stages instead of judging only the final message.
Run the right tests
Apply universal checks to every run and conditional tests only when the user scenario matches.
Diagnose with evidence
See the failed assertion, expected behavior, observed value, and run context in one place.
Use n8n, Flowise, or a custom HTTP endpoint. Start with response-only testing; add trace data when you need assertions about tools and execution steps.
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Define correct behavior
Create reusable tests for what the agent should say, do, and never do. Combine semantic evaluation with deterministic assertions for tools, schemas, values, latency, and tokens.
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Run a real test
Send a chosen scenario to your agent and inspect the result. Mibo shows which check failed, what it expected, and the evidence needed to fix it.
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Keep testing after release
Send completed agent runs to Mibo. It matches each real interaction to the relevant tests without sitting in the customer request path.
Connect your AI stack to a shared test suite
Use n8n when your agent lives in a workflow, Flowise with the maintained trace template, or OpenTelemetry and Mibo's HTTP API for a framework-neutral ingestion path.