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feat(vertexai): Migrate to AI
and add GoogleAI support
#8931
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🦋 Changeset detectedLatest commit: 07f68ad The changes in this PR will be included in the next version bump. This PR includes changesets to release 2 packages
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GenAI
and add GoogleAI supportAI
and add GoogleAI support
AI
and add GoogleAI supportAI
and add GoogleAI support
* [vertexai] Use json of unary-success-citations The test files have been updated to include `json` extension versions of the tests files. The old, `txt` extension files are deprecated and will be deleted eventually. * Update also the version used in the update script
- title: VertexAI | ||
path: /docs/reference/js/vertexai.vertexai.md | ||
- title: VertexAIError | ||
path: /docs/reference/js/vertexai.vertexaierror.md | ||
- title: VertexAIModel | ||
path: /docs/reference/js/vertexai.vertexaimodel.md |
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These types still exist (can't remove them until a breaking change), but our doc generation tool doesn't pick them up since they're just aliases to the new types (e.g. VertexAIError
is just an alias to AIError
.
Vertex AI Mock Responses Check
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'@firebase/vertexai': minor | ||
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Add support for the Gemini Developer API, enabling usage in a free tier, and add new `AI` API to accomodate new product naming. |
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Note that this isn't the final changelog that will be in the release notes. This will be changed to the final changelog entry we decide on when we write the release notes.
API: http://goto.google.com/googleai-in-vinf-api (internal)
This PR integrates support for the Google AI API alongside the existing Vertex AI backend. To accommodate this, the SDK has been refactored to use the more generic
AI
naming convention instead ofVertexAI
.Changes
Google AI Support
googleAIBackend()
function to configure the SDK to use the Google AI API. This enables usage with models available in a free tier.googleAIMappers.ts
) to translate requests and responses between the SDK's unified format (prioritizing Vertex AI) and the specific format required by the Google AI API. This handles differences in features like safety settings (method
unsupported), citation metadata (citationSources
vscitations
), and response properties (defaulting missing safety scores).AIError
with codeUNSUPPORTED
or logs warnings for features/properties not available or different in the Google AI backend (e.g.,SafetySetting.method
, roundingtopK
,Part.videoMetadata
).Firebase AI Migration
VertexAI
toAI
(e.g.,AI
,AIError
,AIModel
,AIErrorCode
,AIOptions
).export type VertexAI = AI;
,export const VertexAIError = AIError;
).Backend
(GoogleAIBackend | VertexAIBackend
) andBackendType
types to abstract the backend configuration.Initialization
getAI(app?, options?)
function for initializing the SDK. It acceptsAIOptions
to specify the desiredbackend
.getVertexAI(app?, options?)
function for backward compatibility, initializing a Vertex AI backend instance.Internal
helpers.ts
) for instance identifiers based on backend type and location, allowing the component system to manage different service instances.request.ts
,stream-reader.ts
) to handle backend differences and use the appropriate mappers.Packaging
./ai
export path infirebase/package.json
to allow the package to be imported withfirebase/ai
.Testing
googleAIBackend
,vertexAIBackend
), Google AI request/response mappers, and instance identifier helpers.generateContent
,countTokens
) using the Google AI backend path to verify request mapping and error handling.Sample usage