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@gsiddh gsiddh commented May 6, 2025

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pashanka and others added 25 commits April 16, 2025 10:06
* Fix languageCode parameter in action_code_url

* Add changeset
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
…ns. (#8975)

* Improve the integration test coverage for online vs offline comparisons.

* prettier.

* Add missing cases.
* [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
Fix languageCode parameter in action_code_url (#8912)

* Fix languageCode parameter in action_code_url

* Add changeset

Vaihi add langmodel types. (#8927)

* Adding LanguageModel types. These are based off https://github.com/webmachinelearning/prompt-api?tab=readme-ov-file#full-api-surface-in-web-idl

* Adding LanguageModel types.

* Remove bunch of exports

* yarn formatted

* after lint

Define HybridParams (#8935)

Co-authored-by: Erik Eldridge <[email protected]>

Adding smoke test for new hybrid params (#8937)

* Adding smoke test for new hybrid params

* Use the existing name of the model params input

---------

Co-authored-by: Erik Eldridge <[email protected]>

Moving to in-cloud naming (#8938)

Co-authored-by: Erik Eldridge <[email protected]>

Moving to string type for the inference mode (#8941)

Define ChromeAdapter class (#8942)

Co-authored-by: Erik Eldridge <[email protected]>

VinF Hybrid Inference: Implement ChromeAdapter (rebased) (#8943)

Adding count token impl (#8950)

VinF Hybrid Inference #4: ChromeAdapter in stream methods (rebased) (#8949)

Define values for Availability enum (#8951)

VinF Hybrid Inference: narrow Chrome input type (#8953)

Add image inference support (#8954)

* Adding image based input for inference

* adding image as input to create language model object

disable count tokens api for on-device inference (#8962)

VinF Hybrid Inference: throw if only_on_device and model is unavailable (#8965)

VinF Hybrid Inference: update docs (#8970)

VinF Hybrid Inference: consolidate onDeviceParams initialization (#8969)

VinF Hybrid Inference: disable multi-turn support (#8973)

VinF Hybrid Inference: remove default expected input types (#8974)

VinF Hybrid Inference: set image (and text) as default input type (#8984)

VinF Hybrid Inference: log debug messages in conditional logic (#8992)
@gsiddh gsiddh requested review from a team and hsubox76 as code owners May 6, 2025 23:24
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changeset-bot bot commented May 6, 2025

🦋 Changeset detected

Latest commit: 5ddf24c

The changes in this PR will be included in the next version bump.

This PR includes changesets to release 30 packages
Name Type
@firebase/database-compat Patch
@firebase/database Patch
@firebase/firestore Patch
@firebase/functions Patch
@firebase/storage Patch
@firebase/util Patch
@firebase/auth Patch
@firebase/data-connect Patch
firebase Minor
@firebase/vertexai Minor
@firebase/firestore-compat Patch
@firebase/functions-compat Patch
@firebase/storage-compat Patch
@firebase/analytics-compat Patch
@firebase/analytics Patch
@firebase/app-check-compat Patch
@firebase/app-check Patch
@firebase/app-compat Patch
@firebase/app Patch
@firebase/auth-compat Patch
@firebase/component Patch
@firebase/database-types Patch
@firebase/installations-compat Patch
@firebase/installations Patch
@firebase/messaging-compat Patch
@firebase/messaging Patch
@firebase/performance-compat Patch
@firebase/performance Patch
@firebase/remote-config-compat Patch
@firebase/remote-config Patch

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@gsiddh gsiddh requested a review from aashishpatil-g as a code owner May 6, 2025 23:24
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google-cla bot commented May 6, 2025

Thanks for your pull request! It looks like this may be your first contribution to a Google open source project. Before we can look at your pull request, you'll need to sign a Contributor License Agreement (CLA).

View this failed invocation of the CLA check for more information.

For the most up to date status, view the checks section at the bottom of the pull request.

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7 participants