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Update dependency @ai-sdk/openai to v4 - #29

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This PR contains the following updates:

Package Change Age Confidence
@ai-sdk/openai (source) 1.3.24 → 4.0.111 age confidence

Release Notes

vercel/ai (@​ai-sdk/openai)

v4.0.111

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Patch Changes
  • 6400cf8: Add resolveProviderOptions to parse provider options that a model accepts under several providerOptions keys, either as aliases (first) or merged in order (merge), and use it for the existing multi-key lookups in the OpenAI, OpenAI-compatible, Anthropic, Google, and Amazon Bedrock models. Resolution behavior for these models is unchanged.
  • Updated dependencies [6400cf8]
  • Updated dependencies [f608c05]
  • Updated dependencies [cab9c1f]
  • Updated dependencies [c70adf6]

v4.0.110

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Patch Changes

  • c6efa4b: Refactor Azure model ID logic into a model catalog that declares capabilities and provider options, and generate provider capability documentation from it. Export the OpenAI catalog internally for Azure to reuse. Request behavior is unchanged.

  • f6dbf04: fix(openai): surface Chat Completions refusals as text content

    The Chat Completions model ignored message.refusal (non-streaming) and delta.refusal (streaming). When the model refused to answer, content was null, so the AI SDK returned empty text with a stop finish reason and silently dropped the refusal. Refusal text is now emitted as text content in both generateText and streamText results, and it is emitted in addition to content when the API returns both. A refusal with a stop finish reason is now reported as a content-filter finish reason, matching the Anthropic provider and the Responses API.

  • 646a7e3: fix(openai,openai-compatible): surface refusal logprobs and openai-compatible refusals

    @ai-sdk/openai: Chat Completions responses that contain a refusal can return logprobs.refusal next to logprobs.content. The provider previously read only logprobs.content, so providerMetadata.openai.logprobs was empty or missing for refusals. Refusal logprobs are now included in emission order (content logprobs followed by refusal logprobs) in both generateText and streamText.

    Streaming logprobs are now collected across all chunks in streamText: previously only the logprobs of the last streamed chunk were reported. This applies to content logprobs as well, so providerMetadata.openai.logprobs now contains the logprobs of every streamed token instead of only the last chunk's tokens. Explicitly empty logprobs (logprobs: { content: [], refusal: null }) are reported as an empty array, as before.

    A refusal that arrives in the same streamed chunk as the finish_reason is now taken into account: such a response is reported with a content-filter finish reason instead of stop.

    @ai-sdk/openai-compatible: Chat Completions responses that carry message.refusal (non-streaming) or delta.refusal (streaming) were ignored, so providers such as OpenAI served through createOpenAICompatible lost the refusal text and reported an empty stop response. Refusals are now returned as text content after any content text, and a non-empty refusal with a stop finish reason is reported as a content-filter finish reason. This also applies when the refusal and the finish reason arrive in the same streamed chunk. Non-string refusals (for example refusal: false from servers that use booleans) are ignored instead of failing the response.

  • 6b97088: fix(openai): handle refusal content parts in the Responses API

    The Responses API returns a refusal content part instead of output_text when the model declines a request. The response schema rejected these parts, so non-streaming calls failed with an APICallError ("Invalid JSON response"), and streamed response.refusal.delta / response.refusal.done events were dropped, producing empty text. Refusal content parts and stream events are now parsed: the refusal explanation is surfaced as text and the finish reason is mapped to content-filter. When the response also contains a client-side function call, the finish reason stays tool-calls so the tools are still executed.

v4.0.109

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Patch Changes

  • 27528db: Expose customTool through azure.tools for Azure Responses models, sharing the OpenAI custom tool factory and its raw string input support.

  • 7bb309d: add memoryLimit and networkPolicy properties in codeInterpreter tool

  • 7a90522: Add Secure MCP tunnel support to the OpenAI MCP tool via tunnelId. Tunnel targets cannot be combined with serverUrl or connectorId; existing URL and connector configurations remain compatible.

  • 6549344: feat(openai): support GPT Image 2.6 models with complexity, markup-guided edits (markup), animated GIF output (outputFormat: 'gif', frameCount, frameDurationMs), and safetyIdentifier for image models

  • 5f9bb8e: feat (provider/openai): forward the moderation option to /images/edits

  • 934100c: Report the actual OpenAI Chat HTTP endpoint (also used by Azure Chat and Bedrock Mantle Chat) through optional request metadata and model-call end events. Record its host and port on OpenTelemetry chat spans without exposing URL credentials, paths, queries, or fragments. Expose only the sanitized HTTP origin in text and object generation results and step/finish callbacks. Providers that do not report an endpoint leave these attributes unset.

  • 892af4d: feat (provider/openai): implement server-side realtime extensions

    OpenAIRealtimeModel now implements getServerWebSocketConfig(), returning the upstream realtime WebSocket URL for conversation and transcription intents plus header auth derived from the model's configured credentials. Dedicated transcription sessions serialize with session.type: "transcription" and the selected realtime model id. Translation is rejected until the normalized realtime codec supports its distinct wire protocol. The event mapper now populates normalized usage on response-done and input-transcription-completed (gross input/output token counts with cached portions reported separately; duration usage for duration-billed transcription).

    Transcription serialization honors the explicit transcription model and rejects unsupported output settings. Gross token totals and reported modality/cache counts are retained; duration uses seconds. OpenAI Live retains its existing connection API and rejects unsupported intents.

  • 243bf22: Forward per-message providerOptions.openai.name on Chat Completions system, developer, user, and assistant messages. Validate names as strings and warn when configured on unsupported tool messages.

  • 5cc6d28: Expose azure.tools.shell for local and hosted shell execution through the Azure Responses API.

  • 41465fd: Expose optional transcription word timings separately from segments and accept shared timestampGranularities. Explicit provider timing settings take precedence. OpenAI now sends timestamp_granularities only with verbose_json and warns when a requested timing is unavailable or excluded.

  • Updated dependencies [36802d4]

  • Updated dependencies [e0143b0]

  • Updated dependencies [934100c]

  • Updated dependencies [892af4d]

  • Updated dependencies [89aff56]

  • Updated dependencies [41465fd]

  • Updated dependencies [9754014]

  • Updated dependencies [4bb73b0]

  • Updated dependencies [2e44144]

v4.0.108

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v4.0.107

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  • 4ae6986: fix(openai): preserve valid JSON string tool arguments and serialize BigInt and cycles in tool calls and results, retaining malformed argument replay fallbacks
  • 226b7da: Forward languages and keywords transcription hints as repeated multipart fields instead of silently dropping them. Warn when these REST-only options are supplied to streaming transcription.
  • Updated dependencies [51ca5b7]
  • Updated dependencies [dc6f1c3]
  • Updated dependencies [4ae6986]

v4.0.106

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  • 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]

v4.0.105

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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]

v4.0.104

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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.

  • Updated dependencies [57086ff]

  • Updated dependencies [95348b3]

v4.0.103

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Patch Changes
  • 02dbab1: add azure.tools.toolSearch and support azure provider options on responses function tools
  • 27a53b4: Fix string interpolation in Amazon Bedrock unsupported provider tool warnings and OpenAI / OpenAI-compatible completion errors for unexpected system messages.
  • Updated dependencies [e64ed82]

v4.0.102

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Patch Changes
  • 5475347: Fix non-streaming Responses API structured output failing when multiple assistant messages contain JSON. Providers can supply separate structured-output text for parsing, allowing OpenAI and Azure Responses models to select the last final_answer while preserving all generated content, annotations, conversation history, and token usage.
  • e729d58: chore(docs): update README.md for consistent format and to avoid duplication
  • Updated dependencies [5475347]
  • Updated dependencies [e729d58]

v4.0.101

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v4.0.100

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  • 43ad966: Report interrupted when a stream ends cleanly without its provider completion signal, preserving partial output without emitting an error solely for the interruption.

    This applies to OpenAI (Chat, Responses, and Completions), Anthropic, Google (Generate Content and Interactions), Alibaba, Amazon Bedrock Converse, Cohere, DeepSeek, Groq, Hugging Face Responses, Mistral Chat, Moonshot AI, Open Responses, Perplexity, and xAI Responses. It also covers cutoffs in later Anthropic messages and Google automatic continuations.

    Compatibility notice: These streams previously fell back to other or omitted the finish part. Applications must now handle interrupted in finish-reason switches, mappings, and custom validation. Check finishReason === 'interrupted' to detect incomplete responses; interruption alone does not trigger error handling.

    Explicit unknown completion reasons still map to other. Actual provider, parsing, and transport errors retain their error paths; affected error paths that previously left the finish reason as other now report error. OpenAI-compatible remains unchanged.

  • Updated dependencies [10026d1]

v4.0.99

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Patch Changes
  • 39a776b: Add a shared encodePathSegment helper and use it to encode provider-returned identifiers in credentialed follow-up request paths.
  • c787919: Defer construction of provider validation schemas until first use to reduce package import time.
  • 0257b47: feat(openai): support 12h prompt cache writes and cache prewarming
  • Updated dependencies [b089ce8]
  • Updated dependencies [39a776b]

v4.0.98

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Patch Changes
  • 0c2a9de: Add maxOutputTokens and reasoning to experimental decision calls and forward them to language-model-backed decisions. Language-model adapters keep reasoning disabled when omitted. Native decision providers warn when either setting is unsupported.
  • 8b728ec: fix(openai): preserve detected language codes in transcription responses
  • 3cb1dae: fix(openai): forward shell_call timeout_ms and max_output_length to the shell tool and round-trip max_output_length
  • Updated dependencies [0c2a9de]
  • Updated dependencies [200c47f]

v4.0.97

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Patch Changes
  • acbc819: Add an optional modelId setting to Azure OpenAI language-model factories for
    accurate telemetry and capability detection with custom deployment names. Keep
    the deployment ID for API routing and preserve existing behavior when the model
    ID is omitted.
  • 60cc252: feat(perplexity): add decisions api support
  • Updated dependencies [60cc252]

v4.0.96

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v4.0.95

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  • 130e871: Restore raw OpenAI custom-tool input deltas for consumers that forward them to Responses API clients. Mark streamed input with inputEncoding: 'text' so UI clients can display it progressively without JSON parsing. Preserve the encoding when partial UI messages are saved and resumed. Final provider tool-call inputs remain JSON-encoded.
  • Updated dependencies [130e871]

v4.0.94

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v4.0.93

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  • 216e2c9: fix(openai): send assistant text with content instead of an item reference when its reasoning was removed

    With reasoning models and store: true, pruning reasoning (e.g. pruneMessages({ reasoning: 'all' })) caused follow-up requests to fail with "Item 'msg_...' of type 'message' was provided without its required 'reasoning' item". Assistant text parts are now only sent as item references when they are preceded by reasoning in the same assistant message.

v4.0.92

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Patch Changes
  • 6aedb07: fix(openai): replay web search results when response storage is disabled
  • e57803c: Expose complete retrieved web-search URLs and file-search documents as sources, and normalize inline references separately as citations on text parts and text-end events. Preserve citation-derived sources when retrieval data is unavailable, including web-search-preview and Azure responses. Keep raw annotations, citation titles, and text locations available. Deduplicate file-search passages by file ID.
  • 1f7e5ad: fix(openai): JSON-encode custom tool input deltas for progressive UI updates
  • Updated dependencies [9667bf2]
  • Updated dependencies [e57803c]
  • Updated dependencies [81663cc]

v4.0.91

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Patch Changes
  • 5cf13d2: feat: map the top level embedding dimensions to provider settings
  • 72e9d38: feat(openai): send image detail in decisions
  • fb933f9: Report failed and incomplete web searches as tool errors instead of successful tool results in OpenAI Responses API calls and batch results.
  • Updated dependencies [4dbc902]

v4.0.90

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  • 6c59fb1: fix(openai): preserve sampling parameters for GPT-6 Sol and Luna when reasoning is disabled, accounting for reasoning effort updates in Responses requests

v4.0.89

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  • 9184a35: Add ordered text, file, and JSON parts to experimental decision state. Support image input in OpenAI Decisions and language model adapters. Gateway retains its existing string and JSON request format and rejects files, as does TypeSafe AI.

    Arrays passed directly as state now contain decision state parts. Wrap JSON arrays in an object or a json part.

    Normalize all public state forms into an array of parts before calling decision providers. Providers receive text and JSON objects as text and json parts.

    Serialize decision file bytes as base64 in OpenTelemetry state attributes. Model-call spans record normalized state parts, while outer spans retain public state inputs.

    Preserve native JSON state in TypeSafe AI when state contains one JSON part. Label shared state in language-model decision prompts.

  • Updated dependencies [9184a35]

v4.0.88

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  • 32ff7ad: Preserve tool errors in OpenAI Chat Completions and Responses by wrapping their payloads in an error object. Send Google tool errors and denied executions under functionResponse.response.error.

v4.0.87

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  • bccc1b7: fix(openai): avoid duplicate references for stored messages with multiple text parts

v4.0.86

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v4.0.85

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  • fc1e19e: fix: limit jsonl rows to 64mb during batch result downloads

  • 99bdcd2: Replace the OpenAI structured-output wrapper for decide with the native Decisions API. Only gpt-6-luna is currently supported by this endpoint; other Responses models no longer work with openai.decisionModel() or its deprecated evaluationModel() alias.

    Responses API options, such as reasoningEffort, are no longer applied and produce unsupported-option warnings. The Decisions API supports providerOptions.openai.safetyIdentifier. Native token usage and confidence values are preserved, and per-question refusals fail the decision call.

  • 268225c: feat(provider): add a portable max reasoning level with native provider mappings, compatibility coercions, and budget-based fallback support.

    Compatibility notes:

    • TypeScript source compatibility: Adding max widens LanguageModelV4CallOptions['reasoning'] and the derived ReasoningLevel type. Third-party providers and consumers with exhaustive switches or Record<ReasoningLevel, ...> mappings must handle max before upgrading. Ordinary calls using existing reasoning levels remain accepted.
    • Amazon Bedrock: Existing Nova 2 calls using portable reasoning: 'xhigh' now send maxReasoningEffort: 'high' instead of the unsupported 'max', and return a compatibility warning. Anthropic and OpenAI Bedrock effort mappings retain their existing xhigh behavior. Partial Bedrock reasoning configurations continue to preserve explicit values and derive missing fields; explicit effort/budget overrides and disabled thinking no longer emit warnings for portable mappings that are not sent.
    • Fireworks: Existing portable minimal and xhigh calls keep their request mappings to low and high, respectively, and now return compatibility warnings in generation and streaming results. Portable max maps to high with the same warning behavior.

    Release classification: This remains a patch changeset under the repository's explicit release policy, which uses patch releases for both fixes and features. The TypeScript source-compatibility caveat for exhaustive consumers is disclosed above. Maintainers can override this classification with a major label if they decide to align the provider-spec addition with a future AI SDK major release.

  • 0af2f7c: chore: upgrade to TypeScript 6

  • Updated dependencies [fc1e19e]

  • Updated dependencies [5094ebd]

  • Updated dependencies [268225c]

  • Updated dependencies [0af2f7c]

v4.0.84

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v4.0.83

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v4.0.82

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v4.0.81

Patch Changes
  • 4e94782: fix(openai): rewrite recursive Zod schemas that use allOf wrappers

v4.0.80

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v4.0.79

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  • e3605f6: Fix streamed tool calls with missing, blank, or repeated IDs.

  • 525efc5: feat(provider): advertise image model file and mask input support

    Use confirmed model IDs for capability declarations so unrecognized model names
    remain unknown. Include Together AI FLUX.2 Pro and Flex single-image editing, and
    allow asynchronous capability lookups and middleware overrides to resolve to
    unknown.

    Advertise QuiverAI Arrow 2 and Arrow 2 Telos file-input support, and mark Together
    AI Gemini image inputs unsupported by the current single-image request mapping.

  • Updated dependencies [e3605f6]

  • Updated dependencies [525efc5]

v4.0.78

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  • 94d5d6d: Support reasoningEffortUpdate: 'none' for GPT-6 Sol and Luna in request-level options and positioned system messages. Validate update efforts against the model's supported efforts, warning and omitting unsupported request-level updates and rejecting unsupported historical updates.

v4.0.77

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v4.0.75

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  • ca31b89: The OpenAI Responses provider now accepts providerOptions.openai.reasoningEffortUpdate on empty system messages and sends each update at its position in the conversation. This lets applications change reasoning effort during a conversation while preserving the prompt prefix for caching.

v4.0.74

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v4.0.73

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v4.0.72

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  • 411b3f2: fix(openai): strip unsupported regex patterns from JSON schemas
  • e13c32f: fix(openai): include speech provider options in requests

v4.0.71

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v4.0.70

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v4.0.69

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  • d4d96bf: Add experimental Choice, Score, and Boolean evaluations through openai.evaluationModel() and a shared structured language-model evaluation adapter in @ai-sdk/provider-utils/experimental-evaluation. Preserve exact labels and metadata, validate score bounds, and return prompted Boolean P(true) estimates validated to be in [0, 1]. Boolean estimates are not guaranteed to be calibrated; application code chooses thresholds.
  • Updated dependencies [215b25e]
  • Updated dependencies [d4d96bf]
  • Updated dependencies [a7dd893]
  • Updated dependencies [3456e2c]
  • Updated dependencies [c4e76de]

v4.0.68

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