Hi there,
Can you clarify what milestones you are looking to experiment on, and
any progress on the following since the initial experiment?
Draft spec
TAG review
Signals requests
Outreach for feedback from the spec community
WPT tests (or some kind of open eval framework)
thanks,
Mike
On 8/19/26 12:37 p.m., 'Isaac Ahouma' via blink-dev wrote:
*Contact emails *[email protected] <mailto:[email protected]>,
[email protected] <mailto:[email protected]>
Explainerhttps://github.com/webmachinelearning/prompt-api#sampling-parameters
<https://github.com/webmachinelearning/prompt-api#sampling-parameters>
Specificationhttps://webmachinelearning.github.io/prompt-api/
<https://webmachinelearning.github.io/prompt-api/>
SummaryThe Prompt API Sampling Parameters allow developers to control
the output variety of the built-in AI language model. Instead of
exposing raw numerical parameters (e.g. topK and temperature) which
can behave inconsistently across different underlying model families
and versions, this feature introduces a categorical samplingMode enum.
This allows the browser to handle the heavy lifting of mapping
semantic presets to optimal raw parameters for a specific underlying
model, providing developers with the necessary granularity to tune
responses while maintaining cross-browser interoperability.enum
AILanguageModelSamplingMode {"most-predictable", // For strict
consistency/factual extraction"predictable", // For highly focused
outputs"slightly-predictable", // For moderately focused, consistent
outputs"balanced", // The default state for standard
prompting"slightly-creative", // For moderately varied, expressive
outputs"creative", // For tasks favoring variety over strict
facts"most-creative" // For maximum token diversity and brainstorming};
Blink componentBlink>AI>Prompt
Web Feature IDhttps://webstatus.dev/features/languagemodel
<https://webstatus.dev/features/languagemodel>
TAG review statusPending
Link to previous “Intent to Experiment” blink-dev
discussionhttps://groups.google.com/a/chromium.org/g/blink-dev/c/4KvH5XEBYtE
<https://groups.google.com/a/chromium.org/g/blink-dev/c/4KvH5XEBYtE>
Goals for experimentationOur primary goal during this extension is to
gather real-world usage data on the newly expanded categorical presets
to see which modes developers gravitate toward most. We will use this
data and developer feedback to conduct more concerted medium-term mode
evaluations. Specifically, we want to evaluate developer adoption of
this expanded spectrum, and validate that the new granularity
effectively covers the previously identified dead zones.
Experimental timelineThe extended experiment will continue through
Chrome 159.
Reason this experiment is being extendedWe are extending this
experiment because we are actively iterating on the API surface based
on developer feedback. During this trial, we received developer
feedback requesting predictable space granularity to cover dead zones
while restoring the balancedpreset to the API default parameters. We
have expanded the preset enum values to cover these dead zones, and we
need the extended timeline to give developers sufficient time to
integrate and test these specific changes.
Interoperability and Compatibility RisksThe original raw parameters
were excluded from the initial Prompt API launch due to cross-browser
interoperability concerns. By refining the categorical sampling modes
to provide better coverage of the predictable space based on developer
feedback, we maintain the cross-browser interoperability benefits of
semantic presets while offering the necessary granularity developers
requested.WebView application risksNone
Ongoing technical constraintsNoneDebuggabilityIt is possible that
giving DevTools more insight into the nondeterministic states of the
model, e.g. random seeds, could help with debugging. See related
discussion at https://github.com/webmachinelearning/prompt-api/issues/9.
Will this feature be supported on all six Blink platforms (Windows,
Mac, Linux, ChromeOS, Android, and Android WebView)?No, the Prompt API
currently supports Windows, Mac, Linux, and ChromeOS.
Is this feature fully tested by web-platform-tests?No; while the API
shape is fully tested, automated testing of sampling parameter effects
on probabilistic model response is not readily feasible; instead we
conduct rounds of evaluations on configuration updates.
Flag name on about://flagsprompt-api-sampling-mode
Finch feature nameAIPromptAPIParams
Requires code in //chrome?True
Tracking bughttps://crbug.com/502214118
Launch
bughttps://launch.corp.google.com/launch/4463387<https://launch.corp.google.com/launch/4463387>Link
to entry on the Chrome Platform
Status:https://chromestatus.com/feature/6325545693478912
<https://chromestatus.com/feature/6325545693478912>
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