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Yes—but show streamed language as a draft, not a finished answer. Text arriving from a model is incremental output; it does not by itself establish that the response completed successfully, passed review, or is ready to trigger an action. Keep draft text separate from lifecycle status, and present it as final only after the API or SDK reports its successful terminal state.
Why streamed text is not a completed answer
Streaming lets an application display or process the beginning of a response while the model continues generating. OpenAI’s Responses API delivers streamed events using server-sent events, so an application can receive incremental output before the entire response is available. OpenAI’s streaming guide also cautions that partial completions are harder to moderate: moderation scores requested alongside generation arrive after the full output is available, not alongside each text delta.
That makes “some text arrived” a poor proxy for “the answer is done.” A stream may be incomplete or fail, and in agent workflows additional work can continue after the last visible token. Treating text as provisional avoids presenting unfinished content as settled or using it to trigger irreversible actions prematurely.
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How to tell a delta from a completion event
A delta carries a piece of output; a terminal event describes the response lifecycle. In the OpenAI Responses API, response.output_text.delta signals incremental text, while separate completion, incomplete, and failure events indicate how the response ended. The event names and meanings are specific to that API—do not assume another provider uses the same protocol. See the Responses streaming event reference for the documented event types.
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A practical application model is to accumulate incoming content in a draft buffer while tracking lifecycle status independently. Map provider-specific events into states your application understands, such as streaming, completed, incomplete, and failed. Only move the draft into the final presentation state when the API or SDK’s documented success condition is met. This is an implementation pattern inferred from the event documentation, not a claim about tested user-interface outcomes.
How the documented event flows differ
OpenAI and Anthropic both document incremental streaming, but their event structures and completion signals differ. The table compares implementation concepts, not output quality or speed.
| Implementation detail | OpenAI Responses and Agents SDK | Anthropic Messages API |
|---|---|---|
| Incremental delivery | Responses streams server-sent events, including typed events such as response.output_text.delta. |
Messages streams typed message and content-block events over server-sent events. |
| Completion signal | Responses distinguishes completed, incomplete, and failed outcomes. For an Agents SDK run, the event iterator must also end and the final run state must be checked. | The documented message flow ends with message_stop. SDK helpers can aggregate events into a complete Message object. |
| Partial-result caution | The Node SDK documents that a clean end-of-file can still resolve to a partial response whose status is not completed. |
The streaming documentation describes error events; consumers of direct HTTP streams need to handle the documented event flow. |
| Moderation timing | OpenAI warns that partial output is harder to moderate; requested moderation scores arrive after the full output. The cited Anthropic streaming documentation does not establish an equivalent moderation comparison. | Not established by the cited streaming documentation. |
Anthropic’s sequence includes message start, content-block events, message deltas, and a final message stop. Its Streaming Messages documentation describes SDK aggregation into a complete Message object. Use those documented signals rather than transplanting OpenAI event names or assumptions.
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Successful completion
Commit the draft only after the provider’s documented success signal and any required final-state checks. In an OpenAI Responses integration, distinguish the completion event from incomplete and failure events. In an Anthropic Messages integration, follow its message event flow and final stop signal.
Clean end-of-stream without successful status
Do not equate a closed connection with success. The OpenAI Node SDK documentation warns that clean EOF may resolve with a partial response whose status is not completed. Inspect the returned status before promoting text to a final answer.
Failure or cancellation
Keep a usable partial draft distinct from a successful final answer. Follow the API or SDK’s documented error and cancellation behavior, update the application status accordingly, and avoid running downstream actions that require a completed response. Whether to retain or discard partial text is a product decision; the lifecycle state should make clear that it did not complete successfully.
Structured output and tool arguments
Apply the same rule beyond prose. Partial fields, tool arguments, and other structured items remain incomplete until their corresponding finalization event or successful response state arrives. The Responses event reference documents delta and done events for multiple non-text items, so do not treat an early partial field as a validated object.
Why agent runs may continue after visible text stops
In an agent workflow, the last visible token may arrive before the run is actually complete. The OpenAI Agents SDK says a streaming run is complete only when the async event iterator ends and the final run state, including is_complete, reflects completion. Its streaming documentation notes that persistence, approval bookkeeping, or history compaction can happen after the visible output. Continue consuming events through iterator end, then inspect the final run state before treating the result as committed.
Quick Recap
A concise implementation checklist
- Append incoming text deltas to a draft buffer and label the content as in progress.
- Track lifecycle status separately from the text itself; map each provider’s event names to application-level states.
- Wait for the documented successful terminal condition, including final run-state checks where the SDK requires them.
- Keep incomplete, failed, and cancelled output distinguishable from a completed answer.
- Delay irreversible actions and any presentation that implies review or approval until required completion and moderation checks are finished.
- For structured output, wait for the relevant finalization event rather than trusting partial fields.
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