{"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] Each object's data field contains an OpenAI Responses API event with a type such as response.created or response.output_text.delta. 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] OpenAI Responses API tutorial with 14 runnable Python examples — built-in tools, streaming, MCP, and Chat Completions migration. Updated April 2026.\n\n[4] OpenAI Python API library OpenAI Python API library The OpenAI Python library provides convenient access to the OpenAI REST API from any Python 3.10+ application. The library includes type definitions for all request params and response fields, and offers both synchronous and asynchronous clients powered by HTTPX2.\n\n[5] The official Python library for the OpenAI API. Contribute to openai/openai-python development by creating an account on GitHub.\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 API","url":"https://developers.openai.com/api/docs/guides/streaming-responses?api-mode=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":"Each object's data field contains an OpenAI Responses API event with a type such as response.created or response.output_text.delta. 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":"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":"OpenAI Python API library | OpenAI API Reference","url":"https://developers.openai.com/api/reference/python","snippet":"OpenAI Python API library OpenAI Python API library The OpenAI Python library provides convenient access to the OpenAI REST API from any Python 3.10+ application. The library includes type definitions for all request params and response fields, and offers both synchronous and asynchronous clients powered by HTTPX2."},{"title":"openai-python/examples/responses/streaming.py at main ...","url":"https://github.com/openai/openai-python/blob/main/examples/responses/streaming.py","snippet":"The official Python library for the OpenAI API. Contribute to openai/openai-python development by creating an account on GitHub."}],"provider":"free","served_in_ms":9191,"citation_check":{"verdict":"pass","confidence":0.8575},"attestation":{"spec_hash":"0xf6217026dc1978f16fa8a2186f4a7cfdb5314359bf86217eedc4396befd3a9e3","verdict":"pass","confidence":0.8575,"evidence_hashes":["0x7f6d719b1f9cde58db4f1ee9ef0d502736f981296c3f05d0a48814a26c9b2191","0x6642afb3c36887fabc722d0a9e48831185f0e20660c257625e3d201d5759fc73","0x37eb5bf5611ac4759f6dbff9c46c2bb8af73046aa4bbd6e0049fc440d2666557","0x7ea64852388ae03abd87477b0a40e84d2c15ecc1502001f6be790a29a75c29bd","0x53a8499d8aaa4ddb4fbec1fba773805e9b63b1255df7b4631f73257000de897c"],"response_hash":"0xf2aef61d7c8a1141b0cbfcad8ca126dcc7fd48d5e144e5fe4a05ebf7aaf707a7","verifier_address":"0x31520f9c14360470040807fAba64938ebcfF9C8f","service_version":"0.3.0","timestamp":"2026-10-15T23:09:28.063670+00:00"},"attestation_hash":"0xe0b288058dc15e4e0b5af53bd3564483acabc96f693c49219602e48ab6a2f5c0","signature":"0x45a834ab4d958161f0296864178a97126d3798c835c211a66f894a81cce3ff964774be8c9fd652a676f13c7b750caca7cffbffd975bb121edc2c68d27d9685581c","demo":true,"note":"Cached free sample of POST /code-research ($0.10/call live). Live calls are computed fresh per request."}