{"answer":"Research findings for: How do I stream responses with the OpenAI Python SDK?\n\n\n[1] Learn how to stream model responses from the OpenAI API using server-sent events.\n\n[2] They are in OpenAI Responses API format, which means each event has a type (like response.created, response.output_text.delta, etc) and data. These events are useful if you want to stream response messages to the user as soon as they are generated. Computer-tool raw events keep the same preview-vs-GA distinction as stored results.\n\n[3] This page covers the model-level streaming infrastructure in the SDK: how Model implementations produce incremental response events, how those events flow through the execution pipeline, and how streaming differs across model providers. For the user-facing streaming API and how to consume stream events in application code, see Streaming Patterns.\n\n[4] OpenAI Responses API tutorial with 14 runnable Python examples — built-in tools, streaming, MCP, and Chat Completions migration. Updated April 2026.\n\n[5] This document explains the streaming architecture in the OpenAI Python SDK, which enables real-time processing of model responses as they are generated. Streaming is supported across multiple API endpoints including Chat Completions, Responses, Assistants, and Image Generation APIs.\n\n\nThis is an extractive summary from the cited public sources. Verify against the originals before relying on it in production code.","citations":[{"title":"Streaming API responses - OpenAI","url":"https://developers.openai.com/api/docs/guides/streaming-responses","snippet":"Learn how to stream model responses from the OpenAI API using server-sent events."},{"title":"Streaming - OpenAI Agents SDK","url":"https://openai.github.io/openai-agents-python/streaming/","snippet":"They are in OpenAI Responses API format, which means each event has a type (like response.created, response.output_text.delta, etc) and data. These events are useful if you want to stream response messages to the user as soon as they are generated. Computer-tool raw events keep the same preview-vs-GA distinction as stored results."},{"title":"Streaming Responses | openai/openai-agents-python | DeepWiki","url":"https://deepwiki.com/openai/openai-agents-python/7.7-streaming-responses","snippet":"This page covers the model-level streaming infrastructure in the SDK: how Model implementations produce incremental response events, how those events flow through the execution pipeline, and how streaming differs across model providers. For the user-facing streaming API and how to consume stream events in application code, see Streaming Patterns."},{"title":"OpenAI Responses API Tutorial: 14 Python Examples | TECHSY","url":"https://techsy.io/en/blog/openai-responses-api-tutorial","snippet":"OpenAI Responses API tutorial with 14 runnable Python examples — built-in tools, streaming, MCP, and Chat Completions migration. Updated April 2026."},{"title":"Streaming and Event Handling | openai/openai-python | DeepWiki","url":"https://deepwiki.com/openai/openai-python/7.2-streaming-and-event-handling","snippet":"This document explains the streaming architecture in the OpenAI Python SDK, which enables real-time processing of model responses as they are generated. Streaming is supported across multiple API endpoints including Chat Completions, Responses, Assistants, and Image Generation APIs."}],"provider":"free","served_in_ms":4121,"citation_check":{"verdict":"pass","confidence":0.88},"attestation":{"spec_hash":"0xaaf8b8a52fcb2ca8be5543a7444c1ea5d95b8962d10bf4cfb9380c1f3c28a253","verdict":"pass","confidence":0.88,"evidence_hashes":["0x02dd88c5d005004da45c601ddb92ddc58e0f283c389f50452477daa90af8bb29","0x6642afb3c36887fabc722d0a9e48831185f0e20660c257625e3d201d5759fc73","0x562ffea87c6e333be048d8bd87946313a786cda248b27ddc98e696f6d1dce164","0x37eb5bf5611ac4759f6dbff9c46c2bb8af73046aa4bbd6e0049fc440d2666557","0x908d3d6a1507b1d3bc0f072c1f1374287b367c5d32570a8a2bdb81eb16e6ddbd"],"response_hash":"0x22073b665b1f9fe9c4f9a52146d6c202a29687723f0f594364e0f36b5e2ebb78","verifier_address":"0x31520f9c14360470040807fAba64938ebcfF9C8f","service_version":"0.3.0","timestamp":"2026-08-01T13:07:27.905493+00:00"},"attestation_hash":"0xba4af5b59ea9292fe24ab6ac94c1e5fb1b20c91dd08eec1e9d6f5b8e3873f4af","signature":"0xedcda9e847fc696764926fe276c4375bcf5497f3b42c6c9c626686beb2ee4aa6159998b3a29dccf3e48ee96bc4f5ac9d75edb41554249f56ea099a46450aa01b1c","demo":true,"note":"Cached free sample of POST /code-research ($0.10/call live). Live calls are computed fresh per request."}