/**
 * @license
 * Copyright 2024 Google LLC
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *   http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
import { ObjectSchema, TypedSchema } from '../requests/schema-builder';
import { Content, Part } from './content';
import { LanguageModelCreateOptions, LanguageModelPromptOptions } from './language-model';
import { FunctionCallingMode, HarmBlockMethod, HarmBlockThreshold, HarmCategory, InferenceMode, ResponseModality, ThinkingLevel } from './enums';
import { ObjectSchemaRequest, SchemaRequest } from './schema';
/**
 * Base parameters for a number of methods.
 * @public
 */
export interface BaseParams {
    safetySettings?: SafetySetting[];
    generationConfig?: GenerationConfig;
}
/**
 * Params passed to {@link getGenerativeModel}.
 * @public
 */
export interface ModelParams extends BaseParams {
    model: string;
    tools?: Tool[];
    toolConfig?: ToolConfig;
    systemInstruction?: string | Part | Content;
}
/**
 * Params passed to {@link getLiveGenerativeModel}.
 * @beta
 */
export interface LiveModelParams {
    model: string;
    generationConfig?: LiveGenerationConfig;
    tools?: Tool[];
    toolConfig?: ToolConfig;
    systemInstruction?: string | Part | Content;
}
/**
 * Request sent through {@link GenerativeModel.generateContent}
 * @public
 */
export interface GenerateContentRequest extends BaseParams {
    contents: Content[];
    tools?: Tool[];
    toolConfig?: ToolConfig;
    systemInstruction?: string | Part | Content;
}
/**
 * Safety setting that can be sent as part of request parameters.
 * @public
 */
export interface SafetySetting {
    category: HarmCategory;
    threshold: HarmBlockThreshold;
    /**
     * The harm block method.
     *
     * This property is only supported in the Vertex AI Gemini API ({@link VertexAIBackend}).
     * When using the Gemini Developer API ({@link GoogleAIBackend}), an {@link AIError} will be
     * thrown if this property is defined.
     */
    method?: HarmBlockMethod;
}
/**
 * Config options for content-related requests
 * @public
 */
export interface GenerationConfig {
    candidateCount?: number;
    stopSequences?: string[];
    maxOutputTokens?: number;
    temperature?: number;
    topP?: number;
    topK?: number;
    presencePenalty?: number;
    frequencyPenalty?: number;
    /**
     * Output response MIME type of the generated candidate text.
     * Supported MIME types are `text/plain` (default, text output),
     * `application/json` (JSON response in the candidates), and
     * `text/x.enum`.
     */
    responseMimeType?: string;
    /**
     * Output response schema of the generated candidate text. This
     * value can be a class generated with a {@link Schema} static method
     * like `Schema.string()` or `Schema.object()` or it can be a plain
     * JS object matching the {@link SchemaRequest} interface.
     * <br/>Note: This only applies when the specified `responseMimeType` supports a schema; currently
     * this is limited to `application/json` and `text/x.enum`.
     */
    responseSchema?: TypedSchema | SchemaRequest;
    /**
     * Generation modalities to be returned in generation responses.
     *
     * @remarks
     *  - Multimodal response generation is only supported by some Gemini models and versions; see {@link https://firebase.google.com/docs/vertex-ai/models | model versions}.
     *  - Only image generation (`ResponseModality.IMAGE`) is supported.
     *
     * @beta
     */
    responseModalities?: ResponseModality[];
    /**
     * Configuration for "thinking" behavior of compatible Gemini models.
     */
    thinkingConfig?: ThinkingConfig;
}
/**
 * Configuration parameters used by {@link LiveGenerativeModel} to control live content generation.
 *
 * @beta
 */
export interface LiveGenerationConfig {
    /**
     * Configuration for speech synthesis.
     */
    speechConfig?: SpeechConfig;
    /**
     * Specifies the maximum number of tokens that can be generated in the response. The number of
     * tokens per word varies depending on the language outputted. Is unbounded by default.
     */
    maxOutputTokens?: number;
    /**
     * Controls the degree of randomness in token selection. A `temperature` value of 0 means that the highest
     * probability tokens are always selected. In this case, responses for a given prompt are mostly
     * deterministic, but a small amount of variation is still possible.
     */
    temperature?: number;
    /**
     * Changes how the model selects tokens for output. Tokens are
     * selected from the most to least probable until the sum of their probabilities equals the `topP`
     * value. For example, if tokens A, B, and C have probabilities of 0.3, 0.2, and 0.1 respectively
     * and the `topP` value is 0.5, then the model will select either A or B as the next token by using
     * the `temperature` and exclude C as a candidate. Defaults to 0.95 if unset.
     */
    topP?: number;
    /**
     * Changes how the model selects token for output. A `topK` value of 1 means the select token is
     * the most probable among all tokens in the model's vocabulary, while a `topK` value 3 means that
     * the next token is selected from among the 3 most probably using probabilities sampled. Tokens
     * are then further filtered with the highest selected `temperature` sampling. Defaults to 40
     * if unspecified.
     */
    topK?: number;
    /**
     * Positive penalties.
     */
    presencePenalty?: number;
    /**
     * Frequency penalties.
     */
    frequencyPenalty?: number;
    /**
     * The modalities of the response.
     */
    responseModalities?: ResponseModality[];
    /**
     * Enables transcription of audio input.
     *
     * When enabled, the model will respond with transcriptions of your audio input in the `inputTranscriptions` property
     * in {@link LiveServerContent} messages. Note that the transcriptions are broken up across
     * messages, so you may only receive small amounts of text per message. For example, if you ask the model
     * "How are you today?", the model may transcribe that input across three messages, broken up as "How a", "re yo", "u today?".
     */
    inputAudioTranscription?: AudioTranscriptionConfig;
    /**
     * Enables transcription of audio input.
     *
     * When enabled, the model will respond with transcriptions of its audio output in the `outputTranscription` property
     * in {@link LiveServerContent} messages. Note that the transcriptions are broken up across
     * messages, so you may only receive small amounts of text per message. For example, if the model says
     * "How are you today?", the model may transcribe that output across three messages, broken up as "How a", "re yo", "u today?".
     */
    outputAudioTranscription?: AudioTranscriptionConfig;
}
/**
 * Params for {@link GenerativeModel.startChat}.
 * @public
 */
export interface StartChatParams extends BaseParams {
    history?: Content[];
    tools?: Tool[];
    toolConfig?: ToolConfig;
    systemInstruction?: string | Part | Content;
}
/**
 * Params for calling {@link GenerativeModel.countTokens}
 * @public
 */
export interface CountTokensRequest {
    contents: Content[];
    /**
     * Instructions that direct the model to behave a certain way.
     */
    systemInstruction?: string | Part | Content;
    /**
     * {@link Tool} configuration.
     */
    tools?: Tool[];
    /**
     * Configuration options that control how the model generates a response.
     */
    generationConfig?: GenerationConfig;
}
/**
 * Params passed to {@link getGenerativeModel}.
 * @public
 */
export interface RequestOptions {
    /**
     * Request timeout in milliseconds. Defaults to 180 seconds (180000ms).
     */
    timeout?: number;
    /**
     * Base url for endpoint. Defaults to
     * https://firebasevertexai.googleapis.com, which is the
     * {@link https://console.cloud.google.com/apis/library/firebasevertexai.googleapis.com?project=_ | Firebase AI Logic API}
     * (used regardless of your chosen Gemini API provider).
     */
    baseUrl?: string;
}
/**
 * Options that can be provided per-request.
 * Extends the base {@link RequestOptions} (like `timeout` and `baseUrl`)
 * with request-specific controls like cancellation via `AbortSignal`.
 *
 * Options specified here will override any default {@link RequestOptions}
 * configured on a model (for example, {@link GenerativeModel}).
 *
 * @public
 */
export interface SingleRequestOptions extends RequestOptions {
    /**
     * An `AbortSignal` instance that allows cancelling ongoing requests (like `generateContent` or
     * `generateImages`).
     *
     * If provided, calling `abort()` on the corresponding `AbortController`
     * will attempt to cancel the underlying HTTP request. An `AbortError` will be thrown
     * if cancellation is successful.
     *
     * Note that this will not cancel the request in the backend, so any applicable billing charges
     * will still be applied despite cancellation.
     *
     * @example
     * ```javascript
     * const controller = new AbortController();
     * const model = getGenerativeModel({
     *   // ...
     * });
     * model.generateContent(
     *   "Write a story about a magic backpack.",
     *   { signal: controller.signal }
     * );
     *
     * // To cancel request:
     * controller.abort();
     * ```
     * @see https://developer.mozilla.org/en-US/docs/Web/API/AbortSignal
     */
    signal?: AbortSignal;
}
/**
 * Defines a tool that model can call to access external knowledge.
 * @public
 */
export type Tool = FunctionDeclarationsTool | GoogleSearchTool | CodeExecutionTool | URLContextTool;
/**
 * Structured representation of a function declaration as defined by the
 * {@link https://spec.openapis.org/oas/v3.0.3 | OpenAPI 3.0 specification}.
 * Included
 * in this declaration are the function name and parameters. This
 * `FunctionDeclaration` is a representation of a block of code that can be used
 * as a Tool by the model and executed by the client.
 * @public
 */
export interface FunctionDeclaration {
    /**
     * The name of the function to call. Must start with a letter or an
     * underscore. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with
     * a max length of 64.
     */
    name: string;
    /**
     * Description and purpose of the function. Model uses it to decide
     * how and whether to call the function.
     */
    description: string;
    /**
     * Optional. Describes the parameters to this function in JSON Schema Object
     * format. Reflects the Open API 3.03 Parameter Object. Parameter names are
     * case-sensitive. For a function with no parameters, this can be left unset.
     */
    parameters?: ObjectSchema | ObjectSchemaRequest;
}
/**
 * A tool that allows a Gemini model to connect to Google Search to access and incorporate
 * up-to-date information from the web into its responses.
 *
 * Important: If using Grounding with Google Search, you are required to comply with the
 * "Grounding with Google Search" usage requirements for your chosen API provider: {@link https://ai.google.dev/gemini-api/terms#grounding-with-google-search | Gemini Developer API}
 * or Vertex AI Gemini API (see {@link https://cloud.google.com/terms/service-terms | Service Terms}
 * section within the Service Specific Terms).
 *
 * @public
 */
export interface GoogleSearchTool {
    /**
     * Specifies the Google Search configuration.
     * Currently, this is an empty object, but it's reserved for future configuration options.
     *
     * When using this feature, you are required to comply with the "Grounding with Google Search"
     * usage requirements for your chosen API provider: {@link https://ai.google.dev/gemini-api/terms#grounding-with-google-search | Gemini Developer API}
     * or Vertex AI Gemini API (see {@link https://cloud.google.com/terms/service-terms | Service Terms}
     * section within the Service Specific Terms).
     */
    googleSearch: GoogleSearch;
}
/**
 * A tool that enables the model to use code execution.
 *
 * @beta
 */
export interface CodeExecutionTool {
    /**
     * Specifies the Google Search configuration.
     * Currently, this is an empty object, but it's reserved for future configuration options.
     */
    codeExecution: {};
}
/**
 * Specifies the Google Search configuration.
 *
 * @remarks Currently, this is an empty object, but it's reserved for future configuration options.
 *
 * @public
 */
export interface GoogleSearch {
}
/**
 * A tool that allows you to provide additional context to the models in the form of public web
 * URLs. By including URLs in your request, the Gemini model will access the content from those
 * pages to inform and enhance its response.
 *
 * @beta
 */
export interface URLContextTool {
    /**
     * Specifies the URL Context configuration.
     */
    urlContext: URLContext;
}
/**
 * Specifies the URL Context configuration.
 *
 * @beta
 */
export interface URLContext {
}
/**
 * A `FunctionDeclarationsTool` is a piece of code that enables the system to
 * interact with external systems to perform an action, or set of actions,
 * outside of knowledge and scope of the model.
 * @public
 */
export interface FunctionDeclarationsTool {
    /**
     * Optional. One or more function declarations
     * to be passed to the model along with the current user query. Model may
     * decide to call a subset of these functions by populating
     * {@link FunctionCall} in the response. User should
     * provide a {@link FunctionResponse} for each
     * function call in the next turn. Based on the function responses, the model will
     * generate the final response back to the user. Maximum 64 function
     * declarations can be provided.
     */
    functionDeclarations?: FunctionDeclaration[];
}
/**
 * Tool config. This config is shared for all tools provided in the request.
 * @public
 */
export interface ToolConfig {
    functionCallingConfig?: FunctionCallingConfig;
}
/**
 * @public
 */
export interface FunctionCallingConfig {
    mode?: FunctionCallingMode;
    allowedFunctionNames?: string[];
}
/**
 * Encapsulates configuration for on-device inference.
 *
 * @beta
 */
export interface OnDeviceParams {
    createOptions?: LanguageModelCreateOptions;
    promptOptions?: LanguageModelPromptOptions;
}
/**
 * Configures hybrid inference.
 * @beta
 */
export interface HybridParams {
    /**
     * Specifies on-device or in-cloud inference. Defaults to prefer on-device.
     */
    mode: InferenceMode;
    /**
     * Optional. Specifies advanced params for on-device inference.
     */
    onDeviceParams?: OnDeviceParams;
    /**
     * Optional. Specifies advanced params for in-cloud inference.
     */
    inCloudParams?: ModelParams;
}
/**
 * Configuration for "thinking" behavior of compatible Gemini models.
 *
 * Certain models utilize a thinking process before generating a response. This allows them to
 * reason through complex problems and plan a more coherent and accurate answer.
 *
 * @public
 */
export interface ThinkingConfig {
    /**
     * The thinking budget, in tokens.
     *
     * @remarks
     * This parameter sets an upper limit on the number of tokens the model can use for its internal
     * "thinking" process. A higher budget may result in higher quality responses for complex tasks
     * but can also increase latency and cost.
     *
     * The range of supported thinking budget values depends on the model.
     *
     * <ul>
     * <li>To use the default thinking budget for a model, leave
     * this value undefined.</li>
     *
     * <li>To disable thinking, when supported by the model, set this value
     * to `0`.</li>
     *
     * <li>To use dynamic thinking, which allows the model to decide on the thinking
     * budget based on the task, set this value to `-1`.</li>
     * </ul>
     *
     * An error will be thrown if you set a thinking budget for a model that does not support this
     * feature or if the specified budget is not within the model's supported range.
     *
     * The model will also error if `thinkingLevel` and `thinkingBudget` are
     * both set.
     */
    thinkingBudget?: number;
    /**
     * If not specified, Gemini will use the model's default dynamic thinking level.
     *
     * @remarks
     * Note: The model will error if `thinkingLevel` and `thinkingBudget` are
     * both set.
     *
     * Important: Gemini 2.5 series models do not support thinking levels; use
     * `thinkingBudget` to set a thinking budget instead.
     */
    thinkingLevel?: ThinkingLevel;
    /**
     * Whether to include "thought summaries" in the model's response.
     *
     * @remarks
     * Thought summaries provide a brief overview of the model's internal thinking process,
     * offering insight into how it arrived at the final answer. This can be useful for
     * debugging, understanding the model's reasoning, and verifying its accuracy.
     */
    includeThoughts?: boolean;
}
/**
 * Configuration for a pre-built voice.
 *
 * @beta
 */
export interface PrebuiltVoiceConfig {
    /**
     * The voice name to use for speech synthesis.
     *
     * For a full list of names and demos of what each voice sounds like, see {@link https://cloud.google.com/text-to-speech/docs/chirp3-hd | Chirp 3: HD Voices}.
     */
    voiceName?: string;
}
/**
 * Configuration for the voice to used in speech synthesis.
 *
 * @beta
 */
export interface VoiceConfig {
    /**
     * Configures the voice using a pre-built voice configuration.
     */
    prebuiltVoiceConfig?: PrebuiltVoiceConfig;
}
/**
 * Configures speech synthesis.
 *
 * @beta
 */
export interface SpeechConfig {
    /**
     * Configures the voice to be used in speech synthesis.
     */
    voiceConfig?: VoiceConfig;
}
/**
 * The audio transcription configuration.
 */
export interface AudioTranscriptionConfig {
}