Migrate AI Assistant APIs Without Losing Behavior

Framework migrations can change outputs even when product goals stay the same. ProofMap helps teams test parity before switching.

Why Choose ProofMap

Capture expected behavior before the old API or framework is removed.

MCP

Compare prompts, tool calls, structured outputs, retrieval behavior, and latency.

Promote the new implementation only when it meets objective criteria.

Workflow	Without ProofMap	With ProofMap
Evaluate AI behavior	Teams rely on demos, logs, and manual spot checks.	Run objective-bound evaluations against prompts, models, MCP tools, and runtime mappings.
Handle change	Prompt, model, context, schema, memory, or vendor changes create hidden regressions.	Compare candidates to baselines and promote only qualified packages.
Support developers	Developers trace failures across tools, providers, data, and one-off scripts.	Failures become repeatable tests with clear evidence and recommended fixes.
Control production risk	Fallbacks, permissions, and degraded modes are invented when pressure hits.	Approved mappings and fallback paths are ready before launch, incidents, or migration deadlines.

Why do assistant API migrations create risk?

Tool semantics, message formats, model defaults, retrieval behavior, and streaming can all change outputs.

When should migration tests run?

Before cutting traffic to the new API, and again after major framework or provider updates.

How does this save developer time?

It makes evaluation, debugging, approval, and regression testing repeatable instead of forcing developers to rebuild evidence for every AI change.

What does ProofMap produce?

ProofMap produces objective-bound evaluations, failure evidence, recommendations, and approved prompt or runtime mappings for production use.

Use evaluations to prove behavior parity before switching.