@ai-sdk/harness
A low-level toolkit in the AI SDK ecosystem that encapsulates model capabilities for composition and invocation by higher-level construction layers such as workflow-harness.
Core Facts
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.
For projects that use multiple @ai-sdk/* packages simultaneously, keeping their versions synchronized during upgrades helps avoid potential compatibility issues.
The AI SDK uses a monorepo single-repository management pattern, where changes to the underlying harness package are followed by patch-version updates to the upper-layer workflow-harness package.
Timeline (last 90 days)
The changes in version 1.0.167 contain only 5 commits, and the content centers on dependency synchronization for @ai-sdk/harness@1.0.167.
@ai-sdk/harness, as a supporting layer, is linked with sandbox-vercel's template mechanism.
Version 1.0.164 contains two main commits: a documentation update (commit e729d58 adjusts the README.md formatting) and a dependency update (synchronizing @ai-sdk/harness to 1.0.164).
When a project depends on packages that require version alignment such as sandbox-just-bash and harness, the lockfile prevents one of them from being resolved to a mismatched version; when updating dependencies, the lockfile should be committed along with them, and locked installation (such as npm ci) should be used in CI to ensure reproducible environments.
Keeping sandbox-just-bash and harness version numbers in sync (both at 1.0.162) is a typical practice of monorepo unified releases (fixed/locked mode).
When multiple packages share the same version sequence, upgrading only one of them may lead to unsatisfied peer dependencies or inconsistent assumptions about internal APIs.
The release notes for this release do not list the specific change entries for @ai-sdk/harness 1.0.160 in detail.
The AI SDK's harness-related packages maintain a high release cadence, with the 1.0.x series consisting mainly of patches.
workflow-harness itself does not introduce new APIs or features; rather, it aligns the underlying harness packages it depends on to the latest patch versions.
The core changes in version 1.0.158 point to the same-version @ai-sdk/harness package.
40 more timeline events
All Facts (20)
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.
90%VerifiedFor projects that use multiple @ai-sdk/* packages simultaneously, keeping their versions synchronized during upgrades helps avoid potential compatibility issues.
85%VerifiedThe AI SDK uses a monorepo single-repository management pattern, where changes to the underlying harness package are followed by patch-version updates to the upper-layer workflow-harness package.
85%Verified@ai-sdk/harness and @ai-sdk/workflow-harness are responsible for providing standardized runtime and validation environments for AI workflows.
85%VerifiedIn an AI workflow execution framework, the harness layer is responsible for orchestrating task flows, scheduling model calls and tool execution, while the sandbox layer is responsible for providing an isolated and secure environment for code execution.
80%Verifiedworkflow-harness builds on harness and targets workflow scenarios, providing runtime support for multi-step, orchestrable AI tasks.
80%VerifiedThe release notes for this release do not list the specific change entries for @ai-sdk/harness 1.0.160 in detail.
75%VerifiedIf multiple copies of @ai-sdk/provider exist in a project at the same time, it may cause problems such as inconsistent type definitions, failed instanceof checks, or duplicate bundling.
75%VerifiedAs a sub-package in the SDK ecosystem, workflow-harness is primarily aimed at testing and runtime support scenarios related to workflows.
75%VerifiedThe core change in this update is the sandbox-vercel package synchronously upgrading its dependency @ai-sdk/harness to version 1.0.119.
75%Verified@ai-sdk/workflow-harness maintains a version synchronization strategy with @ai-sdk/harness.
75%Verified@ai-sdk/harness is the underlying component responsible for test infrastructure in the Vercel AI SDK, providing test harness capabilities for sandbox environments.
75%Verified@ai-sdk/workflow-harness has released version 1.0.158, which is a patch version (Patch Changes) update.
85%Verified@ai-sdk/workflow-harness released version 1.0.101, which is a patch-level change (Patch Changes).
90%Unverified@ai-sdk/harness leans toward a testing and evaluation framework, used to verify the performance of AI models and toolchains across various scenarios.
70%UnverifiedThe changes in version 1.0.167 contain only 5 commits, and the content centers on dependency synchronization for @ai-sdk/harness@1.0.167.
50%Unverified@ai-sdk/harness, as a supporting layer, is linked with sandbox-vercel's template mechanism.
50%UnverifiedVersion 1.0.164 contains two main commits: a documentation update (commit e729d58 adjusts the README.md formatting) and a dependency update (synchronizing @ai-sdk/harness to 1.0.164).
50%UnverifiedKeeping sandbox-just-bash and harness version numbers in sync (both at 1.0.162) is a typical practice of monorepo unified releases (fixed/locked mode).
50%UnverifiedWhen a project depends on packages that require version alignment such as sandbox-just-bash and harness, the lockfile prevents one of them from being resolved to a mismatched version; when updating dependencies, the lockfile should be committed along with them, and locked installation (such as npm ci) should be used in CI to ensure reproducible environments.
50%