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Responses API vs Chat Completions: A Coding Agent Migration Checklist

Compare Responses API and Chat Completions contracts, then test text, tools, streaming, state, and rollback before migrating a coding Agent.

Responses API and Chat Completions are different application contracts, not interchangeable URLs. Before migrating a coding Agent, check its response parser, tool loop, streaming consumer, and conversation state—not only whether a short prompt returns text.

OpenAI recommends Responses for new projects while continuing to support Chat Completions, according to its migration guide, checked September 29, 2026. A third-party compatible endpoint must be evaluated separately.

Decide whether a migration solves your problem

Migrate when your chosen model, client, or required feature calls for Responses, or when you intentionally want that integration model. A working application does not need a rushed protocol change merely to adopt a newer name.

List what the Agent actually does: plain text, structured output, local function calls, streaming, images, or provider-hosted tools. Treat each as a separate acceptance requirement.

If you are also consolidating providers, use the one-key model migration guide. Avoid changing the protocol, model, endpoint, and prompt simultaneously; a failure would have too many possible causes.

Map the contracts your application reads

ConcernChat CompletionsResponses
Core conversation shapeMessagesTyped input/output items
Typical text parsingMessage content inside choicesOutput items or an SDK text helper
Function resultsTool messages linked to callsFunction-call output items linked by call ID
StreamingCompletion chunksTyped response events

These differences come from the official migration guide. They do not imply that a gateway supports every OpenAI feature.

Do not assume the first output item is user-facing text. Likewise, a streaming connection opening successfully is not proof that the consumer handles completion, failure, and tool events correctly.

Test one complete Agent loop

Use fixtures with no external side effects before real tools.

TestEvidence required
Plain answerThe UI displays the intended text, not an empty result
One local tool callArguments reach the intended tool and its result returns to the matching call
Tool failureThe failure is represented without a fabricated success
Multiple turnsRequired context survives without duplicating history
Streaming interruptionThe UI reports an incomplete result rather than silently treating it as final
Structured output, if neededThe application validates the expected schema

Keep model and task constant while comparing protocols. The goal is application correctness, not a synthetic claim that one endpoint is always smarter or cheaper. Reuse a small coding regression set to check the actual output after transport tests pass.

Preserve a rollback path

Change the adapter behind a controlled configuration choice. Keep the previous path available until your important tasks pass and usage records reconcile. Avoid running both paths on real side-effecting tasks just to compare them.

Decide who owns conversation state. Do not mix a server-managed continuation mechanism with blindly resending the same full history. Confirm the selected endpoint's retention and continuation behavior; compatibility should not be inferred from a shared SDK.

Verify the endpoint you intend to use

The Agent.Space Developer API guide explains model discovery and protocol selection. It is the place to confirm a supported integration shape, not evidence of complete hosted-tool parity.

Open Agent.Space if you want to connect a supported model route. Validate a complete, bounded Agent loop before directing production work to it.