Adding a New Harness Package
This guide covers creating a new
package for an agent harness.
A harness can be host-driven, where the runtime runs in the host process and uses the sandbox remotely, or bridge-backed, where a small bridge runs inside the sandbox because the runtime needs local access to the sandbox filesystem or process environment.
Prefer host-driven when the runtime supports it.
First-Party vs Third-Party Harnesses
- Third-party packages: Any runtime can publish an external harness package.
- First-party packages: Create an issue first to discuss whether the runtime belongs in this repo.
Reference Example
See
https://github.com/vercel/ai/pull/16255/changes for a complete example of adding a new harness.
Harness Architecture
The AI SDK uses a layered harness architecture following the adapter pattern:
- Harness specification (): Defines interfaces like and
- Utilities (): Shared code for implementing harnesses
- Harness implementations (): Concrete adapters for harnesses
- Harness agent (): The high-level user-facing API
Step-by-Step Guide
1. Create Package Structure
Create
with this baseline structure:
packages/harness-<name>/
├── src/
│ ├── index.ts
│ ├── <name>-harness.ts
│ ├── <name>-harness.test.ts
│ └── <name>-auth.ts # if the runtime needs auth resolution
├── package.json
├── tsconfig.json
├── tsconfig.build.json
├── tsup.config.ts
├── turbo.json
├── vitest.node.config.js
└── README.md
If the runtime must execute inside the sandbox, add bridge files as well:
src/
├── <name>-bridge-protocol.ts
├── <name>-bridge-protocol.test.ts
└── bridge/
├── index.ts
├── package.json
└── pnpm-lock.yaml
Add a
containing just the package heading (
). Every package is required to have one.
2. Configure package.json
Use existing harness packages as the source of truth for scripts, exports, repository metadata, and publish settings.
Required package basics:
"name": "@ai-sdk/harness-<name>"
- (starting point for new packages)
- dependency on via
- dependency on via when using sandbox/auth/schema utilities
- runtime SDK/CLI dependencies required by the harness
- dev dependencies matching existing harness packages
"engines": { "node": ">=22" }
For bridge packages, add any bridge asset copy step required for files under
.
Bridge dependency rules (bridge-backed harnesses):
- The bridge's runtime deps live in (installed in-sandbox at bootstrap), not the main package.json. After changing them, regenerate
src/bridge/pnpm-lock.yaml
with pnpm --dir packages/harness-<name>/src/bridge install --lockfile-only --ignore-workspace
(runnable from the repo root).
- For every third-party import in , keep three things in sync: the import, the array in , and the dep in . A missing entry shows up only at sandbox runtime as a module-resolution error.
- Include packages the runtime lazily imports — e.g. provider SDKs (, ) resolved from the model id at runtime — even though nothing imports them directly. These fail only when a model of that provider is actually used.
- Match shared dependency versions (transport, schema, tooling, runtime SDKs) to what the other harness packages currently use — copy from a sibling package rather than choosing your own pins. Stale pins drift from security patches and can desync from the shared bridge runtime; check the current versions at creation time.
3. Create TypeScript, Build, and Test Configs
Copy the nearest existing harness package config files and adjust paths/package names:
Harness packages currently use Node tests only unless the implementation has a specific reason to add another runtime.
4. Implement the Harness Adapter
Export a factory from
and re-export it from
.
Use the architecture doc for contract details. At implementation time, verify:
- return a with
specificationVersion: 'harness-v1'
;
- use a stable kebab-case ;
- expose adapter-native built-in tools through ;
- keep construction synchronous and side-effect free;
- use and ; never create a separate sandbox;
- throw
HarnessCapabilityUnsupportedError
from the method that needs an unsupported runtime capability;
- don't hardcode a default model unless the runtime technically requires one — some underlying SDKs have no default of their own. Otherwise pass the model only when the consumer configured one and leave the original SDK's default untouched; keep the session's consistent with what's actually sent (don't report a model the bridge silently overrode);
- handle the and that / may receive: if the runtime can't take custom , throw
HarnessCapabilityUnsupportedError
so it's obvious rather than silently dropped; if it has no native input, prepend them to the first user message (the Codex/Claude Code workaround);
- quote interpolated paths (, bridge-state dir, …) when building shell commands for / — they can contain spaces.
If the runtime needs in-sandbox setup, expose
.
5. Implement Runtime-Specific Concerns
Add only the concerns the runtime needs:
- auth resolution — for AI Gateway support, use the central
getAiGatewayAuthFromEnv()
helper rather than reading env directly. This ensures both and are accepted as Gateway credential. When the runtime resolves provider per model, resolve the provider from the model id and set that provider's env; if routing through the gateway, note that base-URL conventions differ per provider (e.g. an Anthropic client appends to a root base, an OpenAI client appends to a base);
- AI Gateway client attribution — follow the convention in existing harness packages: define a versioned client app value such as
ai-sdk/harness-<name>/${VERSION}
and use it for Gateway requests. Configure both and headers when the underlying runtime/SDK supports both; at least one of those two headers is required. If the runtime cannot set arbitrary headers directly, use the runtime-supported equivalent that produces one of those headers (e.g. an SDK client-app environment variable);
- custom-tool schema translation — if you convert host tools' JSON Schema into the runtime's tool format, convert recursively (nested objects, array , enums, descriptions); a flat top-level-only conversion silently drops the model's structured guidance. Passing the JSON Schema through directly, if the runtime accepts it, avoids the problem;
- skill or discovery-file materialization;
- native protocol to harness stream/control translation;
- lifecycle state schema;
- bridge protocol and diagnostics.
Certain structural conventions for harness adapters are being enforced via the
CLI.
Run
once you're done to check for those. Fix any violations flagged before proceeding.
6. Write Tests
Add focused Node tests for:
- factory metadata and settings;
- auth resolution;
- sandbox usage and path placement;
- host-driven remote operations or bridge protocol behavior;
- prompt/control event translation;
- resume session vs continue turn behavior;
- unsupported capability errors;
- skill materialization, if supported.
Use mocked sandbox sessions and bridge/runtime boundaries where possible. Do not require live provider credentials in unit tests.
reads the
compiled bridge assets (e.g.
), which don't exist when tests run against
, so a test that calls it will hit
. Mock
for the bridge asset paths (see the Codex/OpenCode harness tests for the pattern).
7. Add README
Keep README short:
- package purpose;
- setup command;
- minimal usage;
- required sandbox capabilities, such as ports for bridge-backed runtimes;
- notable auth configuration.
Link to the main harness docs for broader concepts.
8. Add Examples
Add relevant examples for the new harness.
- Add API/function examples under when the harness package needs a scriptable provider-behavior example.
- Add interactive examples mirroring the existing harness examples in
examples/harness-e2e-next
(Next.js) and (TUI).
9. Add Documentation
Create documentation in
content/providers/02-ai-sdk-harnesses/<next number>-<name>.mdx
.
Include:
- Setup instructions
- Required sandbox capabilities
- Authentication configuration
- Harness-specific options
- Usage examples
- Known limitations
Update
content/docs/03-ai-sdk-harnesses/05-harness-adapters.mdx
to list the new harness when it is ready to be public.
10. Update References and Validate
Run from the workspace root:
bash
pnpm konsistent
pnpm update-references
pnpm --filter @ai-sdk/harness-<name> build
pnpm --filter @ai-sdk/harness-<name> test
pnpm type-check:full
Add a changeset with
. For a brand-new harness package's first release, use
(not the usual
), matching the other harness packages.
Run relevant harness examples against a live sandbox
early — don't rely on unit tests and
alone. Runtime API constraints (e.g. unexpected config-option rejections, the exact streaming event names the runtime emits, gateway base-URL format) surface only when the bridge actually drives the runtime, and they're far cheaper to find before the docs/examples are built on top.
Checklist
Related Documentation
- Harness Abstraction Architecture
- README
- Existing harness packages with similar runtime placement