chore(deps-dev): bump @tanstack/ai and @tanstack/ai-ollama

[dependabot]

Bumps @tanstack/ai and @tanstack/ai-ollama. These dependencies needed to be updated together.
Updates @tanstack/ai from 0.43.1 to 0.44.0

Release notes

Sourced from @​tanstack/ai's releases.

@​tanstack/ai@​0.44.0

Minor Changes

• #104759aa8b5 - feat(ai): add timeout and abortSignal to media generation activities

  Media activities (generateImage, generateAudio, generateVideo, generateSpeech, generateTranscription, and summarize) now accept optional timeout and abortSignal. Core composes them into a request-specific effective signal, races the adapter call so hung providers reject, clears timeout resources on settle, and routes aborts to middleware onAbort (not onError).

  @tanstack/ai-fal forwards the signal to fal.subscribe() / fal.queue.submit() per request — never via global fal.config() — so concurrent generations stay isolated.

• #926ee07854 - Add a multimodal embed() activity. A single primitive covers one input or a batch — input accepts a string, a text part, an image part, or a fused text+image item written as a nested Array<ContentPart> ([textPart, imagePart], the same shape chat messages use), one vector per item, with the accepted item types narrowed per model at compile time. Top-level dimensions requests Matryoshka output sizes where supported. Results carry embeddings: [{ vector, index }] plus usage when the provider reports it, and embed() participates in generation middleware, debug logging, OTel (gen_ai.operation.name: embeddings), and devtools events like every other activity.

  Provider adapters: openaiEmbedding (text-embedding-3-small/large), geminiEmbedding (gemini-embedding-001), mistralEmbedding (mistral-embed, codestral-embed), ollamaEmbedding (nomic-embed-text and any local model), bedrockEmbedding (Titan Text V2, Titan Multimodal G1 with fused text+image, Cohere Embed v3 on Bedrock), and @tanstack/ai-cohere's cohereEmbedding (embed-v4.0, multimodal text+image with required inputType).

• #8456903978 - feat: add rerank() activity for reordering documents by relevance to a query

  Adds a provider-agnostic rerank() activity (with createRerankOptions, the RerankAdapter interface, and BaseRerankAdapter). Documents may be strings or JSON-serializable objects — object documents are serialized for the provider and the original element is returned in the result, fully typed. Supports topN, per-request cancellation via abortSignal, and the standard observe-only GenerationMiddleware (onStart/onUsage/onFinish/onAbort/ onError) plus rerank:* devtools events. Rerank bills in provider-defined search units, surfaced on usage.unitsBilled.

  The first adapter ships in the new @tanstack/ai-cohere package as cohereRerank / createCohereRerank.

Patch Changes

• #1066b785cc4 - Preserve stable UI message IDs when converting UI messages to model messages.

• #92847e2464 - Fix OpenTelemetry root spans to report usage across all chat iterations, including error and abort exits.

• #1069dd7ddf1 - Preserve UIMessage.createdAt when converting messages to and from ModelMessage so persisted transcripts retain their original timestamps.

• #985fdb791a - toRunErrorPayload now falls back to a numeric status field when a thrown error carries no code. Some SDK error classes report the HTTP status only as status: number and no code (for example Google's @google/genaiApiError), so their status was previously dropped and the resulting RUN_ERROR event surfaced code: undefined — indistinguishable from an unknown failure. A string status (an HTTP reason phrase such as "Forbidden" or a symbolic status such as "PERMISSION_DENIED") is intentionally ignored so only the numeric HTTP code is forwarded; an explicit code still wins.

• #8587aa4ae9 - Fix provider-specific model options inference for TTS, transcription, and summarize activities.

• #1071ea9c077 - fix: publish internal dependency ranges as ^x.y.z instead of exact pins

  Internal dependencies on other TanStack AI packages used workspace:* in dependencies and peerDependencies. pnpm rewrites that to an exact version

... (truncated)

Changelog

Sourced from @​tanstack/ai's changelog.

0.44.0

Minor Changes

• #104759aa8b5 - feat(ai): add timeout and abortSignal to media generation activities

  Media activities (generateImage, generateAudio, generateVideo, generateSpeech, generateTranscription, and summarize) now accept optional timeout and abortSignal. Core composes them into a request-specific effective signal, races the adapter call so hung providers reject, clears timeout resources on settle, and routes aborts to middleware onAbort (not onError).

  @tanstack/ai-fal forwards the signal to fal.subscribe() / fal.queue.submit() per request — never via global fal.config() — so concurrent generations stay isolated.

• #926ee07854 - Add a multimodal embed() activity. A single primitive covers one input or a batch — input accepts a string, a text part, an image part, or a fused text+image item written as a nested Array<ContentPart> ([textPart, imagePart], the same shape chat messages use), one vector per item, with the accepted item types narrowed per model at compile time. Top-level dimensions requests Matryoshka output sizes where supported. Results carry embeddings: [{ vector, index }] plus usage when the provider reports it, and embed() participates in generation middleware, debug logging, OTel (gen_ai.operation.name: embeddings), and devtools events like every other activity.

  Provider adapters: openaiEmbedding (text-embedding-3-small/large), geminiEmbedding (gemini-embedding-001), mistralEmbedding (mistral-embed, codestral-embed), ollamaEmbedding (nomic-embed-text and any local model), bedrockEmbedding (Titan Text V2, Titan Multimodal G1 with fused text+image, Cohere Embed v3 on Bedrock), and @tanstack/ai-cohere's cohereEmbedding (embed-v4.0, multimodal text+image with required inputType).

• #8456903978 - feat: add rerank() activity for reordering documents by relevance to a query

  Adds a provider-agnostic rerank() activity (with createRerankOptions, the RerankAdapter interface, and BaseRerankAdapter). Documents may be strings or JSON-serializable objects — object documents are serialized for the provider and the original element is returned in the result, fully typed. Supports topN, per-request cancellation via abortSignal, and the standard observe-only GenerationMiddleware (onStart/onUsage/onFinish/onAbort/ onError) plus rerank:* devtools events. Rerank bills in provider-defined search units, surfaced on usage.unitsBilled.

  The first adapter ships in the new @tanstack/ai-cohere package as cohereRerank / createCohereRerank.

Patch Changes

• #1066b785cc4 - Preserve stable UI message IDs when converting UI messages to model messages.

• #92847e2464 - Fix OpenTelemetry root spans to report usage across all chat iterations, including error and abort exits.

• #1069dd7ddf1 - Preserve UIMessage.createdAt when converting messages to and from ModelMessage so persisted transcripts retain their original timestamps.

• #985fdb791a - toRunErrorPayload now falls back to a numeric status field when a thrown error carries no code. Some SDK error classes report the HTTP status only as status: number and no code (for example Google's @google/genaiApiError), so their status was previously dropped and the resulting RUN_ERROR event surfaced code: undefined — indistinguishable from an unknown failure. A string status (an HTTP reason phrase such as "Forbidden" or a symbolic status such as "PERMISSION_DENIED") is intentionally ignored so only the numeric HTTP code is forwarded; an explicit code still wins.

• #8587aa4ae9 - Fix provider-specific model options inference for TTS, transcription, and summarize activities.

• #1071ea9c077 - fix: publish internal dependency ranges as ^x.y.z instead of exact pins

  Internal dependencies on other TanStack AI packages used workspace:* in

... (truncated)

Commits

• e02b661 ci: Version Packages (#1059)
• ee07854 feat: add multimodal embed() activity and provider adapters (#926)
• ea9c077 fix: publish internal dependency ranges as ^x.y.z instead of exact pins (#1071)
• fdb791a fix(ai): preserve numeric status field in RUN_ERROR payloads (#985)
• 47e2464 fix(ai): roll up OpenTelemetry usage across iterations (#928)
• dd7ddf1 fix(ai): preserve message creation timestamps (#1069)
• 7aa4ae9 fix(ai): infer provider options for media activities (#858)
• b785cc4 fix(ai): preserve UI message IDs in model conversion (#1066)
• 6903978 feat: add rerank() activity with Cohere and OpenRouter adapters (#845)
• 40b2730 Feat/ai-groq-summarize (#837)
• Additional commits viewable in compare view

Updates @tanstack/ai-ollama from 0.8.17 to 0.9.0

Release notes

Sourced from @​tanstack/ai-ollama's releases.

@​tanstack/ai-ollama@​0.9.0

Minor Changes

• #926ee07854 - Add a multimodal embed() activity. A single primitive covers one input or a batch — input accepts a string, a text part, an image part, or a fused text+image item written as a nested Array<ContentPart> ([textPart, imagePart], the same shape chat messages use), one vector per item, with the accepted item types narrowed per model at compile time. Top-level dimensions requests Matryoshka output sizes where supported. Results carry embeddings: [{ vector, index }] plus usage when the provider reports it, and embed() participates in generation middleware, debug logging, OTel (gen_ai.operation.name: embeddings), and devtools events like every other activity.

  Provider adapters: openaiEmbedding (text-embedding-3-small/large), geminiEmbedding (gemini-embedding-001), mistralEmbedding (mistral-embed, codestral-embed), ollamaEmbedding (nomic-embed-text and any local model), bedrockEmbedding (Titan Text V2, Titan Multimodal G1 with fused text+image, Cohere Embed v3 on Bedrock), and @tanstack/ai-cohere's cohereEmbedding (embed-v4.0, multimodal text+image with required inputType).

Patch Changes

• #1071ea9c077 - fix: publish internal dependency ranges as ^x.y.z instead of exact pins

  Internal dependencies on other TanStack AI packages used workspace:* in dependencies and peerDependencies. pnpm rewrites that to an exact version at publish time, so a released package asked for e.g. @tanstack/ai-utils@0.4.0 rather than ^0.4.0.

  Two consequences for consumers:

  • Duplicate copies. An exact pin cannot dedupe. Installing a newer @tanstack/ai alongside a package pinned to the previous patch produced two copies in the tree, which breaks instanceof checks and module-level state, and inflates bundles.
  • Unsatisfiable peers. An exactly pinned peerDependency conflicts the moment the internal package ships its next patch, forcing consumers into overrides or --legacy-peer-deps.

  These fields now use workspace:^, which publishes as ^x.y.z. Every package here is still 0.x, so ^0.43.1 resolves to 0.43.x only — patches dedupe cleanly and no breaking minor is ever pulled in.

  devDependencies deliberately keep workspace:*: they are never published, and * correctly means "always build against the local copy".

• Updated dependencies [59aa8b5, ee07854, b785cc4, 47e2464, dd7ddf1, 6903978, fdb791a, 7aa4ae9, ea9c077]:

  • @​tanstack/ai@​0.44.0

Changelog

Sourced from @​tanstack/ai-ollama's changelog.

0.9.0

Minor Changes

• #926ee07854 - Add a multimodal embed() activity. A single primitive covers one input or a batch — input accepts a string, a text part, an image part, or a fused text+image item written as a nested Array<ContentPart> ([textPart, imagePart], the same shape chat messages use), one vector per item, with the accepted item types narrowed per model at compile time. Top-level dimensions requests Matryoshka output sizes where supported. Results carry embeddings: [{ vector, index }] plus usage when the provider reports it, and embed() participates in generation middleware, debug logging, OTel (gen_ai.operation.name: embeddings), and devtools events like every other activity.

  Provider adapters: openaiEmbedding (text-embedding-3-small/large), geminiEmbedding (gemini-embedding-001), mistralEmbedding (mistral-embed, codestral-embed), ollamaEmbedding (nomic-embed-text and any local model), bedrockEmbedding (Titan Text V2, Titan Multimodal G1 with fused text+image, Cohere Embed v3 on Bedrock), and @tanstack/ai-cohere's cohereEmbedding (embed-v4.0, multimodal text+image with required inputType).

Patch Changes

• #1071ea9c077 - fix: publish internal dependency ranges as ^x.y.z instead of exact pins

  Internal dependencies on other TanStack AI packages used workspace:* in dependencies and peerDependencies. pnpm rewrites that to an exact version at publish time, so a released package asked for e.g. @tanstack/ai-utils@0.4.0 rather than ^0.4.0.

  Two consequences for consumers:

  • Duplicate copies. An exact pin cannot dedupe. Installing a newer @tanstack/ai alongside a package pinned to the previous patch produced two copies in the tree, which breaks instanceof checks and module-level state, and inflates bundles.
  • Unsatisfiable peers. An exactly pinned peerDependency conflicts the moment the internal package ships its next patch, forcing consumers into overrides or --legacy-peer-deps.

  These fields now use workspace:^, which publishes as ^x.y.z. Every package here is still 0.x, so ^0.43.1 resolves to 0.43.x only — patches dedupe cleanly and no breaking minor is ever pulled in.

  devDependencies deliberately keep workspace:*: they are never published, and * correctly means "always build against the local copy".

• Updated dependencies [59aa8b5, ee07854, b785cc4, 47e2464, dd7ddf1, 6903978, fdb791a, 7aa4ae9, ea9c077]:

  • @​tanstack/ai@​0.44.0

Commits

• e02b661 ci: Version Packages (#1059)
• ee07854 feat: add multimodal embed() activity and provider adapters (#926)
• ea9c077 fix: publish internal dependency ranges as ^x.y.z instead of exact pins (#1071)
• See full diff in compare view

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