[dependabot]

Bumps @ai-sdk/openai from 4.0.102 to 4.0.106.

Changelog

Sourced from @​ai-sdk/openai's changelog.

4.0.106

Patch Changes

• 7716e18: Support promises and synchronous or asynchronous callbacks in provider API key and token settings. Resolve credentials per authenticated request while preserving existing authentication behavior and synchronous credential serialization.

  The experimental OpenAI Live getServerWebSocketConfig() method can now resolve asynchronously. Await its result before using the connection settings.

• dcd2f8d: Introduce a model entry contract with named capability sections and request configuration. Consolidate the OpenAI and Anthropic model catalogs so existing request behavior and generated capability documentation use the same source of truth. Catalogs also declare the provider options each provider accepts and which models support them.

• Updated dependencies [7716e18]

• Updated dependencies [5c247e9]

• Updated dependencies [dcd2f8d]

  • @​ai-sdk/provider-utils@​5.0.72
  • @​ai-sdk/provider@​4.0.35

4.0.105

Patch Changes

• 47b1d8b: feat(openai): send native JSON input and prompt cache keys to Decisions

• d07b475: fix(openai): map top-level reasoning to efforts supported by GPT-5.x models instead of sending unsupported values that OpenAI rejects with a 400. max is now only sent on the Responses API, and GPT-5.6 on Chat Completions sends reasoning_effort: 'none' when function tools are used, since it rejects function tools with reasoning. A warning is emitted when a reasoning level was requested.

• 61a315e: fix: map the top-level reasoning option consistently across providers

  Providers now resolve reasoning the same way:

  1. A provider-specific reasoning setting in providerOptions is sent unchanged. OpenAI no longer drops providerOptions.openai.reasoningEffort values that are not in its list for the model, and Fireworks no longer rewrites providerOptions.fireworks.reasoningEffort. Fireworks also sends top-level reasoning values directly instead of rounding them to 'high' at most, except for model families known to reject 'none' (GPT-OSS, GLM-5.3, Muse Spark) or 'minimal' (Nemotron, Inkling).
  2. Otherwise, reasoning maps to the closest level the model supports, rounding down, and rounds up only when there is no lower level. For example, 'xhigh' now maps to 'high' instead of 'max' on Anthropic and Bedrock models without xhigh effort, and 'medium' maps to 'low' instead of 'high' on DeepSeek, Kimi K3, and Mistral GLM-5.3 models.
  3. 'none' on a model that cannot disable reasoning maps to the model's lowest level with a compatibility warning, instead of being dropped or sending a request the API rejects. This affects GPT-6 models without 'none', xAI grok-4.5 and later, Groq GPT-OSS, Kimi K3, Perplexity, QuiverAI, Bedrock OpenAI gpt-oss models, and Gemini 2.5 Pro (minimum thinking budget). Gemini 3 and Anthropic and Bedrock between_tools mappings now emit the compatibility warning too.

  mapReasoningToProviderEffort now accepts any reasoning value, returns an optional providerOptionsEffort unchanged, and rounds levels that are missing from the effort map to the closest supported level. mapReasoningToProviderBudget maps 'none' to the minimum reasoning budget, always returns a budget, and uses the default percentage for levels missing from budgetPercentages. OpenAICompatibleChatConfig adds an optional mapReasoning function for mapping the top-level reasoning option.

• Updated dependencies [61a315e]

  • @​ai-sdk/provider-utils@​5.0.71

4.0.104

Patch Changes

• 01d7a03: feat(openai): add GPT-6.1 Terra model support

• 599a97f: fix(openai): read transcription duration from usage for duration-billed json responses

  durationInSeconds now falls back to usage.seconds when usage.type is duration and the response has no top-level duration (e.g. gpt-transcribe with the default json response format).

• 8375141: Support streaming transcription with gpt-live-transcribe and gpt-transcribe. For these models the language provider option is sent as a single-entry languages list. gpt-transcribe warns about and omits streaming.delay, which it does not support. gpt-live-transcribe rejects non-streaming transcription, since it has no REST endpoint.

• 7eac057: fix(openai): strip propertyNames schemas that omit type: 'string' (e.g. Zod 3 records with constrained keys) instead of throwing an unsupported functionality error

• 436374e: fix(openai): report unfinished web searches as tool errors

• 9026c7d: fix(openai): only send transcription response format and timestamp defaults when needed

  Transcription requests no longer send response_format=verbose_json or timestamp_granularities[]=segment unless the caller sets them or the model needs them. Previously, any providerOptions.openai value (such as a prompt) caused verbose_json to be sent for models like gpt-transcribe, which rejected the request.

... (truncated)

Commits

• 9b603d3 Version Packages (#24224)
• dcd2f8d feat(openai): centralize model capabilities in a unified catalog (#24174)
• 7716e18 feat(providers): support async credential resolution (#24145)
• d1067fd Version Packages (#24173)
• d07b475 fix(openai): map reasoning to efforts supported by GPT-5.x models (#24190)
• 61a315e fix: map reasoning consistently across providers (#24123)
• 47b1d8b feat(openai): send native JSON input and prompt cache keys to Decisions (#24132)
• 1f3cdbb Version Packages (#24084)
• 436374e fix(openai): report unfinished web searches as tool errors (#24121)
• 599a97f fix(openai): gpt-transcribe REST response format and duration (#24110)
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