chore(deps): bump the examples-npm group across 1 directory with 5 updates

[dependabot]

Bumps the examples-npm group with 5 updates in the /examples directory:

Package	From	To
@ai-sdk/openai	4.0.65	4.0.66
@langchain/core	1.2.10	1.2.11
@langchain/langgraph	1.4.14	1.4.15
@langchain/openai	1.5.12	1.5.13
ai	7.0.97	7.0.99

Updates @ai-sdk/openai from 4.0.65 to 4.0.66

Changelog

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

4.0.66

Patch Changes

• 5ec21a6: fix: reject unsupported batch request types
• 7469a3b: feat: support image generation requests in batches
• 0de8886: fix(openai): allow providers to disable web search source includes
• d5e3024: fix(openai): remove propertyNames from JSON Schema
• Updated dependencies [5ec21a6]
• Updated dependencies [7469a3b]
• Updated dependencies [813bb36]
• Updated dependencies [c43e4b7]
  • @​ai-sdk/provider@​4.0.14
  • @​ai-sdk/provider-utils@​5.0.40

Commits

• 9ed46d2 Version Packages (#20569)
• d5e3024 fix(openai): remove propertyNames from JSON Schema (#20621)
• 7469a3b feat: support image generation requests in batches (#20594)
• 0de8886 fix(openai): allow providers to disable web search source includes (#20599)
• 74bbd93 test(openai): avoid network in file path encoding test (#20592)
• 5ec21a6 fix: reject unsupported batch request types (#20562)
• See full diff in compare view

Updates @langchain/core from 1.2.10 to 1.2.11

Release notes

Sourced from @​langchain/core's releases.

@​langchain/core@​1.2.11

Patch Changes

• #11603 fec9cd8 Thanks @​thushanth-bengre-langchain! - fix(core): build streaming llmOutput.tokenUsage from the fully-accumulated chunk instead of whichever individual chunk's usage_metadata arrived last

  Affects both core streaming paths — .stream()/.streamEvents() (_streamIterator) and .invoke()/.generate() when a streaming-preferring callback is attached (_generateWithCache's hasStreamingHandler branch). Previously, llmOutput.tokenUsage was overwritten by each chunk in turn, so only the last chunk carrying usage_metadata won — correct for providers that emit one cumulative total on a final chunk, but wrong for providers (e.g. @langchain/google, @langchain/anthropic) that emit usage_metadata as a per-chunk delta across multiple chunks, where the values must be summed.

  Note for provider authors: this assumes each streamed chunk's usage_metadata is either a per-chunk delta or appears only on a single final chunk. A provider that instead repeats a cumulative total on every chunk will now see it summed (and inflated) in llmOutput.tokenUsage, matching the existing behavior of the correctly-working message.usage_metadata field.

  Also fixes @langchain/google's invoke({streaming: true}) path (no streaming-preferring callback attached), where llmOutput was never populated at all.

• #11590 ffebdc2 Thanks @​thushanth-bengre-langchain! - Fix OpenAI Responses API replay under Zero Data Retention when a response contains more than one reasoning item, for both v0 and v1. In v0, the default replay path now reuses response_metadata.output directly, preserving every reasoning item's id/encrypted_content in original order. In v1, AIMessage.contentBlocks (outputVersion: "v1") is fixed the same way. additional_kwargs.reasoning is unchanged.

Commits

• 778566e chore: version packages (#11607)
• 18b71af feat(google-genai): add outputDimensionality parameter to GoogleGenerativeAIE...
• 35368db fix(google): surface groundingMetadata/citationMetadata on streaming path (#1...
• 78b2923 fix(google): preserve tool call id and thoughtSignature in native streaming (...
• ffebdc2 fix(openai): correctly handle multiple reasoning items in v1 content blocks (...
• c9ae847 fix(google): set includeServerSideToolInvocations when mixing tools (#11611)
• bc88b75 fix(google): route Vertex multi-region endpoints (#11433)
• fec9cd8 fix(core): build streaming llmOutput.tokenUsage from accumulated usage (#11603)
• 194a063 fix(google): allowlist JSON Schema keywords for Gemini schemas (#11606)
• b0a0d3f fix(deps): upgrade Vitest to address GHSA-82fw-gwwq-j7x9 (#11599)
• See full diff in compare view

Updates @langchain/langgraph from 1.4.14 to 1.4.15

Release notes

Sourced from @​langchain/langgraph's releases.

@​langchain/langgraph@​1.4.15

Patch Changes

• #2794 83a4b62 Thanks @​hntrl! - feat(langgraph): add per-node tracePolicy input/output processors and omitPayload

  Transform the payloads recorded on a node's own trace run while retaining its span and timing. Processors receive raw values and fall back to the original payload if they throw. Graph state, root runs, and child runs remain unchanged when processors do not mutate their arguments.

  Matches Python's callback-level behavior: transforms also affect chain events and message streaming, so omitting outputs can suppress messages returned directly by nodes and omitting inputs can affect message deduplication.

• Updated dependencies [3234c69, 3234c69, 11a4535, 2fab6fd, 4fc118f, db4bdad, 55fa26b]:

  • @​langchain/langgraph-sdk@​1.11.0

@​langchain/langgraph@​1.4.15-rc.0

Patch Changes

• #2794 83a4b62 Thanks @​hntrl! - feat(langgraph): add per-node tracePolicy input/output processors and omitPayload

  Transform the payloads recorded on a node's own trace run while retaining its span and timing. Processors receive raw values and fall back to the original payload if they throw. Graph state, root runs, and child runs remain unchanged when processors do not mutate their arguments.

• Updated dependencies [2fab6fd]:

  • @​langchain/langgraph-sdk@​1.10.3-rc.0

Changelog

Sourced from @​langchain/langgraph's changelog.

1.4.15

Patch Changes

• #2794 83a4b62 Thanks @​hntrl! - feat(langgraph): add per-node tracePolicy input/output processors and omitPayload

  Transform the payloads recorded on a node's own trace run while retaining its span and timing. Processors receive raw values and fall back to the original payload if they throw. Graph state, root runs, and child runs remain unchanged when processors do not mutate their arguments.

  Matches Python's callback-level behavior: transforms also affect chain events and message streaming, so omitting outputs can suppress messages returned directly by nodes and omitting inputs can affect message deduplication.

• Updated dependencies [3234c69, 3234c69, 11a4535, 2fab6fd, 4fc118f, db4bdad, 55fa26b]:

  • @​langchain/langgraph-sdk@​1.11.0

1.4.15-rc.0

Patch Changes

• #2794 83a4b62 Thanks @​hntrl! - feat(langgraph): add per-node tracePolicy input/output processors and omitPayload

  Transform the payloads recorded on a node's own trace run while retaining its span and timing. Processors receive raw values and fall back to the original payload if they throw. Graph state, root runs, and child runs remain unchanged when processors do not mutate their arguments.

• Updated dependencies [2fab6fd]:

  • @​langchain/langgraph-sdk@​1.10.3-rc.0

Commits

• 592fd0c chore: version packages (#2832)
• a3172e0 revert(langgraph): tracePolicy (#2834)
• a97e6f4 chore(deps): patch vulnerable browser and example dependencies (#2822)
• 6fb9a3f chore(deps): bump vitest from 4.1.10 to 4.1.11 (#2818)
• bbbdb5a chore: version packages (rc) (#2798)
• 83a4b62 feat(langgraph): tracePolicy (#2794)
• See full diff in compare view

Updates @langchain/openai from 1.5.12 to 1.5.13

Release notes

Sourced from @​langchain/openai's releases.

@​langchain/openai@​1.5.13

Patch Changes

• #11590 ffebdc2 Thanks @​thushanth-bengre-langchain! - Fix OpenAI Responses API replay under Zero Data Retention when a response contains more than one reasoning item, for both v0 and v1. In v0, the default replay path now reuses response_metadata.output directly, preserving every reasoning item's id/encrypted_content in original order. In v1, AIMessage.contentBlocks (outputVersion: "v1") is fixed the same way. additional_kwargs.reasoning is unchanged.

Commits

• 778566e chore: version packages (#11607)
• 18b71af feat(google-genai): add outputDimensionality parameter to GoogleGenerativeAIE...
• 35368db fix(google): surface groundingMetadata/citationMetadata on streaming path (#1...
• 78b2923 fix(google): preserve tool call id and thoughtSignature in native streaming (...
• ffebdc2 fix(openai): correctly handle multiple reasoning items in v1 content blocks (...
• c9ae847 fix(google): set includeServerSideToolInvocations when mixing tools (#11611)
• bc88b75 fix(google): route Vertex multi-region endpoints (#11433)
• fec9cd8 fix(core): build streaming llmOutput.tokenUsage from accumulated usage (#11603)
• 194a063 fix(google): allowlist JSON Schema keywords for Gemini schemas (#11606)
• b0a0d3f fix(deps): upgrade Vitest to address GHSA-82fw-gwwq-j7x9 (#11599)
• See full diff in compare view

Updates ai from 7.0.97 to 7.0.99

Release notes

Sourced from ai's releases.

ai@7.0.99

Patch Changes

• 615ac89: feat(ai): use InvalidArgumentError for utility input validation
• Updated dependencies [7f76d83]
  • @​ai-sdk/gateway@​4.0.80

Changelog

Sourced from ai's changelog.

7.0.99

Patch Changes

• 615ac89: feat(ai): use InvalidArgumentError for utility input validation
• Updated dependencies [7f76d83]
  • @​ai-sdk/gateway@​4.0.80

7.0.98

Patch Changes

• 5ec21a6: fix: reject unsupported batch request types
• db59d78: feat(ai): add runtime context attribution to embed, embedMany and rerank
• 7469a3b: feat: support image generation requests in batches
• f87bf07: fix(ai): reject invalid reranking provider indices
• bc5cb7a: fix(ai): accept inferred tools in validateUIMessages
• a5f449a: feat(ai): add a stable UI message type and type guard for tool output errors
• Updated dependencies [5ec21a6]
• Updated dependencies [7469a3b]
• Updated dependencies [dbd83a3]
• Updated dependencies [813bb36]
• Updated dependencies [c43e4b7]
• Updated dependencies [03f4e59]
  • @​ai-sdk/gateway@​4.0.79
  • @​ai-sdk/provider@​4.0.14
  • @​ai-sdk/provider-utils@​5.0.40

Commits

• 6c6c221 Version Packages (#20670)
• 615ac89 feat: use InvalidArgumentError for utility input validation (#20304)
• 9ed46d2 Version Packages (#20569)
• a5f449a feat: add a stable UI message type and type guard for tool output errors (#20...
• bc5cb7a fix(ai): accept inferred tools in validateUIMessages (#20660)
• db59d78 feat(ai): add runtime context attribution to embed, embedMany and rerank (#20...
• 7469a3b feat: support image generation requests in batches (#20594)
• f87bf07 fix: rerank() returns undefined documents for invalid provider ranking indice...
• 5ec21a6 fix: reject unsupported batch request types (#20562)
• See full diff in compare view

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