[KongchangAI]
Productai-sdk/workflow

@ai-sdk/workflow

@ai-sdk/workflow is a sub-module in the Vercel AI SDK ecosystem for workflow orchestration. It enables developers to chain multiple AI invocation steps in a structured manner, supporting state management, conditional branching, and multi-step reasoning, with native integration into the Vercel edge runtime and streaming response system.

Core Facts

Timeline (last 90 days)

Oct 28

@ai-sdk/workflow patch versions appear frequently, and most of them are not fixing its own business defects but rather aligning dependencies with the release cadence of the core package.

Unverified50%
Oct 27

The workflow package itself has no code changes; the version number bump is to align the dependency tree.

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Oct 26

After the core package is upgraded, if the workflow package does not follow suit, a runtime error due to protocol mismatch may occur.

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Oct 24

Version 3.0.40 contains documentation maintenance commit e729d58, which updates README.md to unify formatting and avoid duplicate content.

Partially Verified90%
Oct 23

For developers using @ai-sdk/workflow in production, before upgrading they should confirm whether the changes in the ai package 7.0.152 touch APIs in use, and run the critical paths of the workflow once in a test environment.

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Oct 23

The publish timestamp is 23 Oct 19:40.

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Oct 23

@ai-sdk/workflow released version 2.0.84, which is a patch-level update.

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Oct 23

@ai-sdk/workflow has entered the 2.0.x series, indicating that this workflow abstraction is relatively stable.

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Oct 23

For production environments, pure dependency patches can usually be upgraded directly, but it is recommended to run the existing test cases after upgrading, especially integration tests involving tool calls and multi-step orchestration.

Unverified50%
Oct 22

This version introduces no new APIs or features; the core work is synchronously updating three dependencies.

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40 more timeline events

All Facts (20)

Verified

The sole change in @ai-sdk/workflow 2.0.68 is upgrading the core dependency ai to 7.0.136.

90%
Verified

The main changes in @ai-sdk/togetherai@3.0.51 are focused on dependency upgrades and contain no breaking changes.

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A patch version update (1.0.104 → 1.0.105) signifies backward-compatible bug fixes or dependency updates, without introducing breaking changes.

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This release record was completed by a GitHub Actions automated workflow and carries an official GitHub verified signature (Verified).

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Patch version updates theoretically contain no breaking changes, making the upgrade risk low.

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The core content of @ai-sdk/workflow-harness@1.0.101 is a dependency update, synchronously upgrading the underlying dependency @ai-sdk/harness@1.0.101.

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The upgrade method is to run npm install @ai-sdk/openai@4.0.60.

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In AI SDK, workflow-harness serves as the runtime scaffold responsible for orchestrating and executing AI workflows, linking multiple AI calls, tool calls, state management, and other steps into a controllable workflow.

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The Vercel AI SDK adopts a Monorepo single-repository management model, with the core package ai and various framework adapter packages (such as @ai-sdk/vue, @ai-sdk/react, and @ai-sdk/svelte) released in coordination.

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@ai-sdk/workflow is a sub-package within the Vercel AI SDK ecosystem focused on workflow orchestration

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@ai-sdk/harness and @ai-sdk/workflow-harness are responsible for providing standardized runtime and validation environments for AI workflows.

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If a project has both ai and @ai-sdk/workflow pinned, both should be updated together to avoid type or runtime errors caused by version mismatches.

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@ai-sdk/workflow provides a declarative API for describing directed task graphs, managing asynchronous call ordering, intermediate state passing, and error retry logic

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The release of @ai-sdk/workflow@2.0.77 was completed automatically by the github-actions bot, contains 3 commits, was merged into the main branch, and has commit hash be27bec.

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In the AI SDK's layered design, the core package ai provides framework-agnostic capabilities (model invocation, streaming response parsing, tool call orchestration, message state management, etc.).

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When upgrading @ai-sdk/vue, you should also check the changelog of the ai package, because the release notes of framework adapter layers usually only say "Updated dependencies", while the actual behavior changes are recorded in the core package.

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The commit is signed with GPG key ID B5690EEEBB952194 and has been verified.

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Even a patch version upgrade can indirectly pull in new versions of deep dependencies, so it is recommended to run tests in a lock-file environment.

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When a foundational package such as @ai-sdk/provider-utils that is depended upon by multiple packages is updated, Changeset automatically marks the packages that depend on it for a patch version bump, which is why @ai-sdk/valibot publishes a new version even though its own code has not changed.

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The commit hashes involved in this update include 3f6852a, 6317504, 3cb2dcd, and ccf98e7.

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Source Articles