Prompt Regression Testing for AI Agents
Define objectives, run repeatable pass/fail checks across target runtimes, and qualify prompts with evidence — not in a single chat transcript. Catch prompt drift before it reaches production.
Get StartedWhy Choose ProofMap
Define objectives and success criteria before testing
Set clear, measurable success criteria and expected behaviors upfront. Every test run compares prompts against defined objectives, giving you pass/fail evidence instead of gut feeling.
Run deterministic and evaluator-assisted checks
Combine exact-match assertions with LLM-assisted evaluation for nuanced quality signals. Each check produces verifiable evidence you can trace back to specific prompt-output pairs.
Track prompt quality across runtimes over time
Monitor prompt performance across target runtimes and model versions in a structured qualification system. Detect regression, compare challenger runtimes against baselines, and approve the right prompt package — not just the latest edit.
Comparison
| Capability | Generic Prompt Editor | ProofMap |
|---|---|---|
| Objective-based tests | Manual spot-checking in chat transcripts | Define success criteria upfront; pass/fail evidence per objective |
| Cross-runtime qualification | Single-model prompt tweaking | Test the same prompt package against multiple target runtimes with fallback mapping |
| Evidence-backed approval | Subjective review of outputs | Deterministic + evaluator checks produce traceable pass/fail records per test run |
| Resolved prompt package retrieval | Latest edit lives in a chat transcript | Retrieve approved prompt packages by runtime — always know what passed and why |
Frequently Asked Questions
What counts as prompt regression testing?
Prompt regression testing means running repeatable, structured checks against your prompts to verify they still produce the expected outputs after any change — whether that is a prompt edit, a model version update, or a new runtime environment. ProofMap gives you pass/fail evidence per objective so you catch drift before it affects users.
Can I test the same prompt against multiple runtimes?
Yes. ProofMap is built for cross-runtime qualification. Define a prompt package once, then test it against all your target runtimes. Compare results across challenger runtimes, identify fallback mappings, and approve prompts that qualify everywhere they need to run.
Does this work for tool-using agents?
Yes. Tool-using agent evals require runtime-aware validation — checking not just the final response but how the agent reasons through tool calls and multi-step execution. ProofMap structured evaluation supports prompts intended for tool-using agents with objective-based checks that reflect real agent behavior.
How is this different from prompt versioning alone?
Prompt versioning tells you what changed. Prompt regression testing tells you whether the change broke anything. ProofMap combines version history with runtime qualification — you do not just see a diff; you see pass/fail evidence against defined objectives for every version across every target runtime.
Start qualifying prompts
Move beyond ad-hoc prompt tweaking. Define objectives, run repeatable checks, and deploy with evidence.
Start qualifying prompts