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Mibo tests for AI agent regressions before release and after real interactions.

Run selected scenarios deliberately before release, then evaluate available production traces after real interactions with the same configured tests. Mibo makes the evidence visible without claiming complete coverage.

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A passing release check can miss a regression in the behavior users later experience.

An agent may pass a selected scenario while a different real interaction exposes a changed route, tool call, or response. Mibo connects deliberate checks before release with trace evidence after real interactions, so teams can investigate a change without treating one result as proof of quality.

Active regression checks

Run selected scenarios against your agent before release and evaluate the response plus observable execution evidence with the tests you configure.

Production trace evaluation

After a real interaction, send an available canonical trace to Mibo. Applicable active tests are evaluated asynchronously without Mibo calling your agent again.

A bounded signal

Interpret results through the checks you define, the instrumentation your trace includes, input classification, and the breadth of scenarios you exercise or observe.

One regression workflow across release checks and real traffic

Use active tests to deliberately exercise known scenarios, then use passive trace evaluation to see how those same checks behave against interactions your system actually handled.

01

Define the behavior to protect

Describe scenarios and add semantic or procedural checks for the response, tool calls, arguments, status, schema, timing, or other evidence your trace can carry.

02

Test before release

Run selected inputs against the agent before shipping a change. Review the result and its evidence as a focused regression check, not as a guarantee over every possible input.

03

Evaluate real interactions

Send available production traces after interactions. Mibo classifies applicable scenarios and evaluates configured tests asynchronously so the team can investigate differences over time.

Trace a regression from a changed response to the evidence behind it

Semantic checks

AI-powered checks compare a response with criteria you describe, such as being complete, grounded, safe, or aligned. The score is evidence for investigation and depends on the response and context available to the evaluator.

Procedural checks

Deterministic checks inspect recorded facts such as node or tool calls, arguments, HTTP status, schema, token usage, and response time. Missing fields are reported as missing instrumentation rather than silently passing or failing.

Frequently asked questions

What makes AI agent regression testing different from a one-time test run?

Mibo supports deliberate active runs before release and passive evaluation of available traces after real interactions. Using the same configured tests across both modes helps you compare selected scenarios with observed behavior, while keeping the limits of each signal visible.

Does Mibo test an agent again when it evaluates a production trace?

No. Your system handles the real interaction, then sends a canonical trace. Mibo evaluates applicable active tests against that trace asynchronously and does not call the agent again for passive evaluation.

How does Mibo decide which regression tests apply to a real interaction?

Mibo uses the input available in the trace to classify which scenario-conditional tests are relevant. Universal checks can apply to every trace, while a test may be unavailable when the trace has no usable match or lacks the required evidence.

Can AI agent regression testing guarantee complete coverage?

No. Results are bounded by the scenarios and checks you configure, the interactions that occur, the classification signal, and the instrumentation and fields you send. Mibo does not claim complete coverage, guaranteed quality, or automatic remediation.

What happens when a check needs data that the trace does not include?

Mibo reports missing instrumentation for supported checks that cannot find the required trace attribute instead of silently treating the check as passed or failed. Add the needed fields if that evidence matters to your workflow.

How does Mibo handle trace privacy?

Trace payloads are encrypted at rest, and product access is scoped to the account that owns them. Send synthetic or appropriately governed data that fits your own privacy requirements.

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