blob: adda8048f837f986dedaed60338c242b842f5e4a [file] [log] [blame]
// Copyright 2024 The Chromium Authors. All rights reserved.
// Use of this source code is governed by a BSD-style license that can be
// found in the LICENSE file.
// https://github.com/webmachinelearning/prompt-api
dictionary LanguageModelCloneOptions {
AbortSignal signal;
};
dictionary LanguageModelPromptOptions {
object responseConstraint;
boolean omitResponseConstraintInput = false;
AbortSignal signal;
};
dictionary LanguageModelAppendOptions {
AbortSignal signal;
};
[
Exposed(Window AIPromptAPI, Worker AIPromptAPIForWorkers),
RuntimeEnabled=AIPromptAPI,
SecureContext
]
interface LanguageModel : EventTarget {
[
MeasureAs=LanguageModel_Create,
CallWith=ScriptState,
RaisesException
]
static Promise<LanguageModel> create(
optional LanguageModelCreateOptions options = {}
);
[
MeasureAs=LanguageModel_Availability,
CallWith=ScriptState,
RaisesException
]
static Promise<Availability> availability(
optional LanguageModelCreateCoreOptions options = {}
);
[
MeasureAs=LanguageModel_Params,
CallWith=ScriptState,
RaisesException
]
static Promise<LanguageModelParams?> params();
[
MeasureAs=LanguageModel_Prompt,
CallWith=ScriptState,
RaisesException
]
Promise<DOMString> prompt(
LanguageModelPrompt input,
optional LanguageModelPromptOptions options = {}
);
[
MeasureAs=LanguageModel_PromptStreaming,
CallWith=ScriptState,
RaisesException
]
ReadableStream promptStreaming(
LanguageModelPrompt input,
optional LanguageModelPromptOptions options = {}
);
[
MeasureAs=LanguageModel_Append,
CallWith=ScriptState,
RaisesException
]
Promise<undefined> append(
LanguageModelPrompt input,
optional LanguageModelAppendOptions options = {}
);
[
MeasureAs=LanguageModel_MeasureInputUsage,
CallWith=ScriptState,
RaisesException
]
Promise<double> measureInputUsage(
LanguageModelPrompt input,
optional LanguageModelPromptOptions options = {}
);
[MeasureAs=LanguageModel_InputUsage]
readonly attribute double inputUsage;
[MeasureAs=LanguageModel_InputQuota]
readonly attribute unrestricted double inputQuota;
[MeasureAs=LanguageModel_TopK]
readonly attribute unsigned long topK;
[MeasureAs=LanguageModel_Temperature]
readonly attribute float temperature;
attribute EventHandler onquotaoverflow;
[
MeasureAs=LanguageModel_Clone,
CallWith=ScriptState,
RaisesException
]
Promise<LanguageModel> clone(optional LanguageModelCloneOptions options = {});
[
MeasureAs=LanguageModel_Destroy,
CallWith=ScriptState,
RaisesException
]
undefined destroy();
};