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Skillsuse-ai-foundation-sdk

use-ai-foundation-sdk

Coding & development

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Updated 10-15 22:11

About this skill

Use AI Foundation SDK

Treat Halo AI Foundation as an independent SDK. Derive answers and code from its official documentation and public contracts.

Do not trust memory

AI Foundation evolves independently of other AI libraries. Never write its API calls from memory or translate a similarly named API from another SDK. Verify every public type, method, option, event, and package export against the documentation and source for the version used by the target project.

Use the closest version-matched evidence

Do not clone the repository by default. Use this evidence order:

  1. If the current workspace is already an AI Foundation source checkout containing api/, dev/, and ui/packages/sdk/, use it directly.
  2. Inspect the target project for its SDK versions:
    • Java: run.halo.aifoundation:api:<version> in Gradle files or version catalogs.
    • Browser/Vue: @halo-dev/ai-foundation-sdk in package.json and the active lockfile.
  3. Prefer dependencies already resolved in the target project:
    • Read the Java source JAR from the Gradle module cache. If no source JAR exists, inspect public signatures from the binary JAR.
    • Read the npm package version, root exports, declaration files, and runtime files from node_modules/@halo-dev/ai-foundation-sdk.
    • Read references/local-artifacts.md for exact lookup commands.
  4. Use installed artifacts as the authority for the public contract of the installed version. They may not include the developer guides, integration examples, or application implementation.
  5. Clone the official repository only when:
    • The dependency is not installed locally.
    • The installed artifacts do not answer the question.
    • The task needs guides, examples, JavaDoc context absent from the artifact, or runtime implementation details.

Prepare the repository only when needed

Reuse the workspace's existing directory for reference repositories. Otherwise, use .reference/plugin-ai-foundation and exclude .reference/ locally, such as through .git/info/exclude, so reference files are never committed to the consumer plugin.

Clone the official repository when the reference checkout is absent:

git clone --filter=blob:none \
  https://github.com/halo-dev/plugin-ai-foundation.git \
  .reference/plugin-ai-foundation

The remaining examples use this default path. Substitute the existing reference checkout path when the workspace uses another convention.

Before using the checkout, refresh its branches and tags:

git -C .reference/plugin-ai-foundation fetch origin --tags --prune

Select the matching source:

  • For a released dependency <version>, verify that v<version> exists and check it out in detached mode:

    git -C .reference/plugin-ai-foundation \
  show-ref --verify --quiet 'refs/tags/v<version>'
git -C .reference/plugin-ai-foundation checkout --detach 'v<version>'

  • For a snapshot, unreleased version, or missing tag, check out origin/main in detached mode and explicitly say that the answer was checked against main:

    git -C .reference/plugin-ai-foundation checkout --detach origin/main

  • Java and npm dependencies may use different versions. Verify each surface against its own dependency version when both are involved; use git show <ref>:<path> when comparing files from two refs without repeatedly switching the checkout.

  • If the repository cannot be cloned or refreshed, explain what could not be verified instead of guessing.

Treat the reference checkout as read-only. Never stage its files with the consumer plugin's changes.

When a source checkout is available, use references/sdk-map.md to locate the relevant documentation and public source.

Follow the query workflow

  1. Identify the requested surface:
    • Java backend SDK Core.
    • Browser or Vue SDK UI.
    • UI Message backend-to-frontend transport.
    • FormKit aiModelSelector.
    • Halo plugin dependency and lifecycle integration.
  2. Choose dev/zh-CN/ for Chinese output or dev/en/ for English output.
  3. Read the matching installed declaration/source or local path from the SDK map.
  4. Read only the task-relevant documentation or artifact files.
  5. Verify names, signatures, exports, and behavior against public source before writing code.
  6. For a complete consumer shape, read dev/{locale}/plugin-integration-examples.md.
  7. Inspect the target plugin's existing Gradle, plugin.yaml, settings, endpoint, and frontend conventions before editing it.

Verify the public contract

  • Treat api/src/main/java/run/halo/aifoundation/ as the Java public contract.
  • Treat exports from ui/packages/sdk/src/index.ts as the npm public contract.
  • Treat ui/src/formkit/ai-model-selector-input.ts and dev/{locale}/model-selector.md as the model selector contract.
  • Do not infer public support from classes under app/ or unexported Console UI components.
  • Search the reference checkout with an available code index or rg. Inspect exact public files for declarations and use literal search for dependency coordinates, YAML fields, endpoint paths, error codes, and package exports.
  • Never invent a convenience method from another AI library. If a method is absent from the public source, find the supported composition in the current API.

Integrate a Halo plugin

Apply these defaults unless the target plugin establishes a stronger convention:

  • Add the Java API as compileOnly; add it to tests separately when tests load SDK types.
  • Declare ai-foundation in spec.pluginDependencies.
  • Use ExtensionGetter.getEnabledExtension(AiModelService.class) across plugin ApplicationContext boundaries.
  • Store and pass AiModel.metadata.name as modelName.
  • Resolve the appropriate LanguageModel, EmbeddingModel, RerankingModel, or ImageGenerationModel through AiModelService.
  • Register beans that reference AI Foundation types only when AI Foundation is available if the dependency is optional.
  • Use aiModelSelector in Halo settings rather than importing the Console's internal Vue component.
  • Keep business concerns in the consumer plugin: authorization, rate limits, persistence, document chunking, vector storage, attachment lifecycle, and user-facing error messages.

Preserve runtime contracts

  • Keep Reactor composition non-blocking. Do not call block() in request paths.
  • Use either prompt or messages; combine either with system when needed.
  • Preserve responseMessages for tool loops or continued model context.
  • Consume StreamTextResult projections according to the caller's need: textStream(), fullStream(), partialOutputStream(), elementStream(), output(), or result().
  • Keep every assistant tool call paired with one tool result or error.
  • Validate and convert UI messages through the Java UI Message APIs before model execution.
  • Send the Halo UI Message stream headers and [DONE] marker through UIMessageStreamResponse.
  • Persist final reduced UI messages, not arbitrary partial chunks.
  • Treat model capabilities and provider warnings as runtime data; do not infer them from model names.

Validate changes

Run checks proportional to the edited surface:

# Consumer Java plugin
./gradlew compileJava
./gradlew test

# AI Foundation Java API source checkout
./gradlew :api:compileJava

# AI Foundation npm SDK source checkout
cd ui
pnpm --filter @halo-dev/ai-foundation-sdk typecheck
pnpm --filter @halo-dev/ai-foundation-sdk test

Also run the target plugin's established frontend type check and tests when changing its UI.

Report with evidence

  • Name the SDK version or repository ref used.
  • Name the public types, exports, and documentation files used.
  • Distinguish verified current behavior from consumer-specific policy.
  • State which compile, type, or test checks ran.
  • Present AI Foundation as an independent SDK and avoid cross-SDK parity framing.