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GPT-5.5 LANDS ACROSS NODE AND PYTHON SDKS, CODEX HARDENS MCP CONFORMANCE
By RepoJournal · Filed · About OpenAI
OpenAI shipped gpt-5.5 model support and tool metadata across both JavaScript and Python SDKs while Codex locked down a full MCP client conformance regression suite to prevent protocol slippage.
The SDK team moved fast on model expansion. Both openai-node v7.4.0 [2] and openai-python v2.53.0 [3] now recognize gpt-5.5 as a valid model across chat, responses, and tool-calling surfaces, with optional name and namespace metadata fields on tool output items [4] [5]. These are backward-compatible additions that let you start targeting the new model without breaking existing code. On the infrastructure side, both Node and Python repos completed their migration off Stainless-owned CI tooling [6] [7], replacing custom release-please triggers with the upstream googleapis action and retiring legacy branch filters, runner selection, and artifact upload helpers. The Python team also fixed a dependency build issue to avoid NumPy source builds that were bloating CI runs. Over in Codex, the real infrastructure story is a conformance regression matrix that runs the Codex executable against a pinned official MCP client conformance suite across shipping, intermediate, and modern protocol versions, plus HTTP and stdio transports and OAuth scenarios [1]. Model instruction consolidation [8] removed the in-memory instruction path and standardized on model_messages for bundled, remote, fallback, and overridden metadata. Linux managed proxy helpers got hardened to detach standard I/O streams, move readiness pipes above the standard descriptor range, and treat zombie processes as exited [9]. The Codex Apps catalog limit jumped from 2,048 to 8,192 items for host-owned registrations while keeping the lower limit for third-party MCP servers [10].
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Action items
- → Upgrade openai-node to v7.4.0 and openai-python to v2.53.0 if targeting gpt-5.5 openai/openai-node [plan]
- → Review Codex MCP conformance regression matrix for custom protocol versions in your deployment openai/codex [monitor]
- → Test managed proxy helper lifecycle changes on Linux deployments before rolling out openai/codex [plan]
References
- [1] Add MCP client conformance regression gates (#36810) openai/codex
- [2] v7.4.0 ↗ openai/openai-node
- [3] v2.53.0 ↗ openai/openai-python
- [4] feat(api): Add gpt-5.5 model and tool metadata fields (#2049) openai/openai-node
- [5] feat(api): Add gpt-5.5 and tool name/namespace to Responses types ↗ openai/openai-python
- [6] ci: retire obsolete Stainless infrastructure (#2067) openai/openai-node
- [7] ci: migrate release-please to upstream action (#3568) openai/openai-python
- [8] Consolidate model instructions in `ModelMessages` (#36787) openai/codex
- [9] Harden Linux managed proxy helper lifecycles ↗ openai/codex
- [10] Raise the host-owned Codex Apps catalog limit ↗ openai/codex