OpenAI shipped Python SDK v3.20.0 on 2026-09-28: Agents credentials gain metadata and update-without-replace auth, sessions add ultrafast tier plus misalignment_policy_violation; Responses can select Cyber access programs (standard/daybreak_blue/daybreak_red); and an opt-in ResponsesWebSocketAccumulator yields immutable incremental text/tool snapshots. Live/Realtime WebSocket query/queue/TLS retry fixes land in the same cut.
Key Takeaways
- ✓Shipped v3.20.0 — Agents credential metadata/session ultrafast + Cyber access programs
- ✓Opt-in ResponsesWebSocketAccumulator for incremental text/tool snapshots (190+ WS tests)
- ✓Live/Realtime WebSocket query/queue/TLS retry hardening
- ✓Upgrade: pip install -U openai
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Direct AccessIn-Depth Technical Analysis
Core Background & Industry Pain Points
Python clients for Agents and Responses/Realtime are the default orchestration surface. Pain points: credential rotation forcing full auth replace; missing typed Cyber access-program fields; WebSocket streams that omit HTTP/SSE scaffolding leave callers without cumulative text/tool mid-states.
Architecture Highlights & Internals
v3.20.0 adds Agents credential metadata and update-without-replace auth, session ultrafast tier, and misalignment_policy_violation (#3967). Responses accept access_programs.cyber (standard/daybreak_blue/daybreak_red) (#3956). Opt-in ResponsesWebSocketAccumulator yields immutable incremental text/tool snapshots without owning the socket (#3973). Live/Realtime WebSocket query/queue/TLS retries are hardened.
Authoritative Benchmarks & Measured Scores
No public SWE-bench/latency table. PR #3973 reports 190 WebSocket/accumulator + 23 Responses tests on Pydantic v1/v2—validate Cyber fields, snapshot/terminal consistency, and Live hang fixes on your stack.
Developer Hands-on Guide
pip install -U "openai>=3.20.0". Supply metadata when constructing Agents Credentials; set Cyber programs where required; enable Accumulator for streaming observability. See api.md and the release notes.
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