Kargi-Sitesi/node_modules/@firebase/vertexai/dist/vertexai-public.d.ts

1052 lines
28 KiB
TypeScript

/**
* The Vertex AI in Firebase Web SDK.
*
* @packageDocumentation
*/
import { AppCheckTokenResult } from '@firebase/app-check-interop-types';
import { FirebaseApp } from '@firebase/app';
import { FirebaseAuthTokenData } from '@firebase/auth-interop-types';
import { FirebaseError } from '@firebase/util';
declare interface ApiSettings {
apiKey: string;
project: string;
location: string;
getAuthToken?: () => Promise<FirebaseAuthTokenData | null>;
getAppCheckToken?: () => Promise<AppCheckTokenResult>;
}
/**
* Schema class for "array" types.
* The `items` param should refer to the type of item that can be a member
* of the array.
* @public
*/
export declare class ArraySchema extends Schema {
items: TypedSchema;
constructor(schemaParams: SchemaParams, items: TypedSchema);
/* Excluded from this release type: toJSON */
}
/**
* Base parameters for a number of methods.
* @public
*/
export declare interface BaseParams {
safetySettings?: SafetySetting[];
generationConfig?: GenerationConfig;
}
/**
* Reason that a prompt was blocked.
* @public
*/
export declare enum BlockReason {
SAFETY = "SAFETY",
OTHER = "OTHER"
}
/**
* Schema class for "boolean" types.
* @public
*/
export declare class BooleanSchema extends Schema {
constructor(schemaParams?: SchemaParams);
}
/**
* ChatSession class that enables sending chat messages and stores
* history of sent and received messages so far.
*
* @public
*/
export declare class ChatSession {
model: string;
params?: StartChatParams | undefined;
requestOptions?: RequestOptions | undefined;
private _apiSettings;
private _history;
private _sendPromise;
constructor(apiSettings: ApiSettings, model: string, params?: StartChatParams | undefined, requestOptions?: RequestOptions | undefined);
/**
* Gets the chat history so far. Blocked prompts are not added to history.
* Neither blocked candidates nor the prompts that generated them are added
* to history.
*/
getHistory(): Promise<Content[]>;
/**
* Sends a chat message and receives a non-streaming
* <code>{@link GenerateContentResult}</code>
*/
sendMessage(request: string | Array<string | Part>): Promise<GenerateContentResult>;
/**
* Sends a chat message and receives the response as a
* <code>{@link GenerateContentStreamResult}</code> containing an iterable stream
* and a response promise.
*/
sendMessageStream(request: string | Array<string | Part>): Promise<GenerateContentStreamResult>;
}
/**
* A single citation.
* @public
*/
export declare interface Citation {
startIndex?: number;
endIndex?: number;
uri?: string;
license?: string;
title?: string;
publicationDate?: Date_2;
}
/**
* Citation metadata that may be found on a <code>{@link GenerateContentCandidate}</code>.
* @public
*/
export declare interface CitationMetadata {
citations: Citation[];
}
/**
* Content type for both prompts and response candidates.
* @public
*/
export declare interface Content {
role: Role;
parts: Part[];
}
/**
* Params for calling {@link GenerativeModel.countTokens}
* @public
*/
export declare interface CountTokensRequest {
contents: Content[];
}
/**
* Response from calling {@link GenerativeModel.countTokens}.
* @public
*/
export declare interface CountTokensResponse {
/**
* The total number of tokens counted across all instances from the request.
*/
totalTokens: number;
/**
* The total number of billable characters counted across all instances
* from the request.
*/
totalBillableCharacters?: number;
}
/**
* Details object that contains data originating from a bad HTTP response.
*
* @public
*/
export declare interface CustomErrorData {
/** HTTP status code of the error response. */
status?: number;
/** HTTP status text of the error response. */
statusText?: string;
/** Response from a <code>{@link GenerateContentRequest}</code> */
response?: GenerateContentResponse;
/** Optional additional details about the error. */
errorDetails?: ErrorDetails[];
}
/**
* Protobuf google.type.Date
* @public
*/
declare interface Date_2 {
year: number;
month: number;
day: number;
}
export { Date_2 as Date }
/**
* Response object wrapped with helper methods.
*
* @public
*/
export declare interface EnhancedGenerateContentResponse extends GenerateContentResponse {
/**
* Returns the text string from the response, if available.
* Throws if the prompt or candidate was blocked.
*/
text: () => string;
functionCalls: () => FunctionCall[] | undefined;
}
/**
* Details object that may be included in an error response.
*
* @public
*/
export declare interface ErrorDetails {
'@type'?: string;
/** The reason for the error. */
reason?: string;
/** The domain where the error occurred. */
domain?: string;
/** Additional metadata about the error. */
metadata?: Record<string, unknown>;
/** Any other relevant information about the error. */
[key: string]: unknown;
}
/**
* Data pointing to a file uploaded on Google Cloud Storage.
* @public
*/
export declare interface FileData {
mimeType: string;
fileUri: string;
}
/**
* Content part interface if the part represents <code>{@link FileData}</code>
* @public
*/
export declare interface FileDataPart {
text?: never;
inlineData?: never;
functionCall?: never;
functionResponse?: never;
fileData: FileData;
}
/**
* Reason that a candidate finished.
* @public
*/
export declare enum FinishReason {
STOP = "STOP",
MAX_TOKENS = "MAX_TOKENS",
SAFETY = "SAFETY",
RECITATION = "RECITATION",
OTHER = "OTHER"
}
/**
* A predicted <code>{@link FunctionCall}</code> returned from the model
* that contains a string representing the {@link FunctionDeclaration.name}
* and a structured JSON object containing the parameters and their values.
* @public
*/
export declare interface FunctionCall {
name: string;
args: object;
}
/**
* @public
*/
export declare interface FunctionCallingConfig {
mode?: FunctionCallingMode;
allowedFunctionNames?: string[];
}
/**
* @public
*/
export declare enum FunctionCallingMode {
AUTO = "AUTO",
ANY = "ANY",
NONE = "NONE"
}
/**
* Content part interface if the part represents a <code>{@link FunctionCall}</code>.
* @public
*/
export declare interface FunctionCallPart {
text?: never;
inlineData?: never;
functionCall: FunctionCall;
functionResponse?: never;
}
/**
* 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 declare 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?: ObjectSchemaInterface;
}
/**
* 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 declare 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
* <code>{@link FunctionCall}</code> in the response. User should
* provide a <code>{@link FunctionResponse}</code> 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[];
}
/**
* The result output from a <code>{@link FunctionCall}</code> that contains a string
* representing the {@link FunctionDeclaration.name}
* and a structured JSON object containing any output
* from the function is used as context to the model.
* This should contain the result of a <code>{@link FunctionCall}</code>
* made based on model prediction.
* @public
*/
export declare interface FunctionResponse {
name: string;
response: object;
}
/**
* Content part interface if the part represents <code>{@link FunctionResponse}</code>.
* @public
*/
export declare interface FunctionResponsePart {
text?: never;
inlineData?: never;
functionCall?: never;
functionResponse: FunctionResponse;
}
/**
* A candidate returned as part of a <code>{@link GenerateContentResponse}</code>.
* @public
*/
export declare interface GenerateContentCandidate {
index: number;
content: Content;
finishReason?: FinishReason;
finishMessage?: string;
safetyRatings?: SafetyRating[];
citationMetadata?: CitationMetadata;
groundingMetadata?: GroundingMetadata;
}
/**
* Request sent through {@link GenerativeModel.generateContent}
* @public
*/
export declare interface GenerateContentRequest extends BaseParams {
contents: Content[];
tools?: Tool[];
toolConfig?: ToolConfig;
systemInstruction?: string | Part | Content;
}
/**
* Individual response from {@link GenerativeModel.generateContent} and
* {@link GenerativeModel.generateContentStream}.
* `generateContentStream()` will return one in each chunk until
* the stream is done.
* @public
*/
export declare interface GenerateContentResponse {
candidates?: GenerateContentCandidate[];
promptFeedback?: PromptFeedback;
usageMetadata?: UsageMetadata;
}
/**
* Result object returned from {@link GenerativeModel.generateContent} call.
*
* @public
*/
export declare interface GenerateContentResult {
response: EnhancedGenerateContentResponse;
}
/**
* Result object returned from {@link GenerativeModel.generateContentStream} call.
* Iterate over `stream` to get chunks as they come in and/or
* use the `response` promise to get the aggregated response when
* the stream is done.
*
* @public
*/
export declare interface GenerateContentStreamResult {
stream: AsyncGenerator<EnhancedGenerateContentResponse>;
response: Promise<EnhancedGenerateContentResponse>;
}
/**
* Config options for content-related requests
* @public
*/
export declare 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 <code>{@link Schema}</code> static method
* like `Schema.string()` or `Schema.object()` or it can be a plain
* JS object matching the <code>{@link SchemaRequest}</code> 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;
}
/**
* Interface for sending an image.
* @public
*/
export declare interface GenerativeContentBlob {
mimeType: string;
/**
* Image as a base64 string.
*/
data: string;
}
/**
* Class for generative model APIs.
* @public
*/
export declare class GenerativeModel {
private _apiSettings;
model: string;
generationConfig: GenerationConfig;
safetySettings: SafetySetting[];
requestOptions?: RequestOptions;
tools?: Tool[];
toolConfig?: ToolConfig;
systemInstruction?: Content;
constructor(vertexAI: VertexAI, modelParams: ModelParams, requestOptions?: RequestOptions);
/**
* Makes a single non-streaming call to the model
* and returns an object containing a single <code>{@link GenerateContentResponse}</code>.
*/
generateContent(request: GenerateContentRequest | string | Array<string | Part>): Promise<GenerateContentResult>;
/**
* Makes a single streaming call to the model
* and returns an object containing an iterable stream that iterates
* over all chunks in the streaming response as well as
* a promise that returns the final aggregated response.
*/
generateContentStream(request: GenerateContentRequest | string | Array<string | Part>): Promise<GenerateContentStreamResult>;
/**
* Gets a new <code>{@link ChatSession}</code> instance which can be used for
* multi-turn chats.
*/
startChat(startChatParams?: StartChatParams): ChatSession;
/**
* Counts the tokens in the provided request.
*/
countTokens(request: CountTokensRequest | string | Array<string | Part>): Promise<CountTokensResponse>;
}
/**
* Returns a <code>{@link GenerativeModel}</code> class with methods for inference
* and other functionality.
*
* @public
*/
export declare function getGenerativeModel(vertexAI: VertexAI, modelParams: ModelParams, requestOptions?: RequestOptions): GenerativeModel;
/**
* Returns a <code>{@link VertexAI}</code> instance for the given app.
*
* @public
*
* @param app - The {@link @firebase/app#FirebaseApp} to use.
*/
export declare function getVertexAI(app?: FirebaseApp, options?: VertexAIOptions): VertexAI;
/**
* @public
*/
export declare interface GroundingAttribution {
segment: Segment;
confidenceScore?: number;
web?: WebAttribution;
retrievedContext?: RetrievedContextAttribution;
}
/**
* Metadata returned to client when grounding is enabled.
* @public
*/
export declare interface GroundingMetadata {
webSearchQueries?: string[];
retrievalQueries?: string[];
groundingAttributions: GroundingAttribution[];
}
/**
* @public
*/
export declare enum HarmBlockMethod {
SEVERITY = "SEVERITY",
PROBABILITY = "PROBABILITY"
}
/**
* Threshold above which a prompt or candidate will be blocked.
* @public
*/
export declare enum HarmBlockThreshold {
BLOCK_LOW_AND_ABOVE = "BLOCK_LOW_AND_ABOVE",
BLOCK_MEDIUM_AND_ABOVE = "BLOCK_MEDIUM_AND_ABOVE",
BLOCK_ONLY_HIGH = "BLOCK_ONLY_HIGH",
BLOCK_NONE = "BLOCK_NONE"
}
/**
* Harm categories that would cause prompts or candidates to be blocked.
* @public
*/
export declare enum HarmCategory {
HARM_CATEGORY_HATE_SPEECH = "HARM_CATEGORY_HATE_SPEECH",
HARM_CATEGORY_SEXUALLY_EXPLICIT = "HARM_CATEGORY_SEXUALLY_EXPLICIT",
HARM_CATEGORY_HARASSMENT = "HARM_CATEGORY_HARASSMENT",
HARM_CATEGORY_DANGEROUS_CONTENT = "HARM_CATEGORY_DANGEROUS_CONTENT"
}
/**
* Probability that a prompt or candidate matches a harm category.
* @public
*/
export declare enum HarmProbability {
NEGLIGIBLE = "NEGLIGIBLE",
LOW = "LOW",
MEDIUM = "MEDIUM",
HIGH = "HIGH"
}
/**
* Harm severity levels.
* @public
*/
export declare enum HarmSeverity {
HARM_SEVERITY_NEGLIGIBLE = "HARM_SEVERITY_NEGLIGIBLE",
HARM_SEVERITY_LOW = "HARM_SEVERITY_LOW",
HARM_SEVERITY_MEDIUM = "HARM_SEVERITY_MEDIUM",
HARM_SEVERITY_HIGH = "HARM_SEVERITY_HIGH"
}
/**
* Content part interface if the part represents an image.
* @public
*/
export declare interface InlineDataPart {
text?: never;
inlineData: GenerativeContentBlob;
functionCall?: never;
functionResponse?: never;
/**
* Applicable if `inlineData` is a video.
*/
videoMetadata?: VideoMetadata;
}
/**
* Schema class for "integer" types.
* @public
*/
export declare class IntegerSchema extends Schema {
constructor(schemaParams?: SchemaParams);
}
/**
* Params passed to <code>{@link getGenerativeModel}</code>.
* @public
*/
export declare interface ModelParams extends BaseParams {
model: string;
tools?: Tool[];
toolConfig?: ToolConfig;
systemInstruction?: string | Part | Content;
}
/**
* Schema class for "number" types.
* @public
*/
export declare class NumberSchema extends Schema {
constructor(schemaParams?: SchemaParams);
}
/**
* Schema class for "object" types.
* The `properties` param must be a map of `Schema` objects.
* @public
*/
export declare class ObjectSchema extends Schema {
properties: {
[k: string]: TypedSchema;
};
optionalProperties: string[];
constructor(schemaParams: SchemaParams, properties: {
[k: string]: TypedSchema;
}, optionalProperties?: string[]);
/* Excluded from this release type: toJSON */
}
/**
* Interface for <code>{@link ObjectSchema}</code> class.
* @public
*/
export declare interface ObjectSchemaInterface extends SchemaInterface {
type: SchemaType.OBJECT;
optionalProperties?: string[];
}
/**
* Content part - includes text, image/video, or function call/response
* part types.
* @public
*/
export declare type Part = TextPart | InlineDataPart | FunctionCallPart | FunctionResponsePart | FileDataPart;
/**
* Possible roles.
* @public
*/
export declare const POSSIBLE_ROLES: readonly ["user", "model", "function", "system"];
/**
* If the prompt was blocked, this will be populated with `blockReason` and
* the relevant `safetyRatings`.
* @public
*/
export declare interface PromptFeedback {
blockReason?: BlockReason;
safetyRatings: SafetyRating[];
blockReasonMessage?: string;
}
/**
* Params passed to <code>{@link getGenerativeModel}</code>.
* @public
*/
export declare interface RequestOptions {
/**
* Request timeout in milliseconds. Defaults to 180 seconds (180000ms).
*/
timeout?: number;
/**
* Base url for endpoint. Defaults to https://firebaseml.googleapis.com
*/
baseUrl?: string;
}
/**
* @public
*/
export declare interface RetrievedContextAttribution {
uri: string;
title: string;
}
/**
* @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.
*/
/**
* Role is the producer of the content.
* @public
*/
export declare type Role = (typeof POSSIBLE_ROLES)[number];
/**
* A safety rating associated with a <code>{@link GenerateContentCandidate}</code>
* @public
*/
export declare interface SafetyRating {
category: HarmCategory;
probability: HarmProbability;
severity: HarmSeverity;
probabilityScore: number;
severityScore: number;
blocked: boolean;
}
/**
* Safety setting that can be sent as part of request parameters.
* @public
*/
export declare interface SafetySetting {
category: HarmCategory;
threshold: HarmBlockThreshold;
method?: HarmBlockMethod;
}
/**
* Parent class encompassing all Schema types, with static methods that
* allow building specific Schema types. This class can be converted with
* `JSON.stringify()` into a JSON string accepted by Vertex AI REST endpoints.
* (This string conversion is automatically done when calling SDK methods.)
* @public
*/
export declare abstract class Schema implements SchemaInterface {
/**
* Optional. The type of the property. {@link
* SchemaType}.
*/
type: SchemaType;
/** Optional. The format of the property.
* Supported formats:<br/>
* <ul>
* <li>for NUMBER type: "float", "double"</li>
* <li>for INTEGER type: "int32", "int64"</li>
* <li>for STRING type: "email", "byte", etc</li>
* </ul>
*/
format?: string;
/** Optional. The description of the property. */
description?: string;
/** Optional. Whether the property is nullable. Defaults to false. */
nullable: boolean;
/** Optional. The example of the property. */
example?: unknown;
/**
* Allows user to add other schema properties that have not yet
* been officially added to the SDK.
*/
[key: string]: unknown;
constructor(schemaParams: SchemaInterface);
/* Excluded from this release type: toJSON */
static array(arrayParams: SchemaParams & {
items: Schema;
}): ArraySchema;
static object(objectParams: SchemaParams & {
properties: {
[k: string]: Schema;
};
optionalProperties?: string[];
}): ObjectSchema;
static string(stringParams?: SchemaParams): StringSchema;
static enumString(stringParams: SchemaParams & {
enum: string[];
}): StringSchema;
static integer(integerParams?: SchemaParams): IntegerSchema;
static number(numberParams?: SchemaParams): NumberSchema;
static boolean(booleanParams?: SchemaParams): BooleanSchema;
}
/**
* Interface for <code>{@link Schema}</code> class.
* @public
*/
export declare interface SchemaInterface extends SchemaShared<SchemaInterface> {
/**
* The type of the property. {@link
* SchemaType}.
*/
type: SchemaType;
}
/**
* Params passed to <code>{@link Schema}</code> static methods to create specific
* <code>{@link Schema}</code> classes.
* @public
*/
export declare interface SchemaParams extends SchemaShared<SchemaInterface> {
}
/**
* Final format for <code>{@link Schema}</code> params passed to backend requests.
* @public
*/
export declare interface SchemaRequest extends SchemaShared<SchemaRequest> {
/**
* The type of the property. {@link
* SchemaType}.
*/
type: SchemaType;
/** Optional. Array of required property. */
required?: string[];
}
/**
* Basic <code>{@link Schema}</code> properties shared across several Schema-related
* types.
* @public
*/
export declare interface SchemaShared<T> {
/** Optional. The format of the property. */
format?: string;
/** Optional. The description of the property. */
description?: string;
/** Optional. The items of the property. */
items?: T;
/** Optional. Map of `Schema` objects. */
properties?: {
[k: string]: T;
};
/** Optional. The enum of the property. */
enum?: string[];
/** Optional. The example of the property. */
example?: unknown;
/** Optional. Whether the property is nullable. */
nullable?: boolean;
[key: string]: unknown;
}
/**
* @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.
*/
/**
* Contains the list of OpenAPI data types
* as defined by the
* {@link https://swagger.io/docs/specification/data-models/data-types/ | OpenAPI specification}
* @public
*/
export declare enum SchemaType {
/** String type. */
STRING = "string",
/** Number type. */
NUMBER = "number",
/** Integer type. */
INTEGER = "integer",
/** Boolean type. */
BOOLEAN = "boolean",
/** Array type. */
ARRAY = "array",
/** Object type. */
OBJECT = "object"
}
/**
* @public
*/
export declare interface Segment {
partIndex: number;
startIndex: number;
endIndex: number;
}
/**
* Params for {@link GenerativeModel.startChat}.
* @public
*/
export declare interface StartChatParams extends BaseParams {
history?: Content[];
tools?: Tool[];
toolConfig?: ToolConfig;
systemInstruction?: string | Part | Content;
}
/**
* Schema class for "string" types. Can be used with or without
* enum values.
* @public
*/
export declare class StringSchema extends Schema {
enum?: string[];
constructor(schemaParams?: SchemaParams, enumValues?: string[]);
/* Excluded from this release type: toJSON */
}
/**
* Content part interface if the part represents a text string.
* @public
*/
export declare interface TextPart {
text: string;
inlineData?: never;
functionCall?: never;
functionResponse?: never;
}
/**
* Defines a tool that model can call to access external knowledge.
* @public
*/
export declare type Tool = FunctionDeclarationsTool;
/**
* Tool config. This config is shared for all tools provided in the request.
* @public
*/
export declare interface ToolConfig {
functionCallingConfig?: FunctionCallingConfig;
}
/**
* A type that includes all specific Schema types.
* @public
*/
export declare type TypedSchema = IntegerSchema | NumberSchema | StringSchema | BooleanSchema | ObjectSchema | ArraySchema;
/**
* Usage metadata about a <code>{@link GenerateContentResponse}</code>.
*
* @public
*/
export declare interface UsageMetadata {
promptTokenCount: number;
candidatesTokenCount: number;
totalTokenCount: number;
}
/**
* An instance of the Vertex AI in Firebase SDK.
* @public
*/
export declare interface VertexAI {
/**
* The {@link @firebase/app#FirebaseApp} this <code>{@link VertexAI}</code> instance is associated with.
*/
app: FirebaseApp;
location: string;
}
/**
* Error class for the Vertex AI in Firebase SDK.
*
* @public
*/
export declare class VertexAIError extends FirebaseError {
readonly code: VertexAIErrorCode;
readonly customErrorData?: CustomErrorData | undefined;
/**
* Constructs a new instance of the `VertexAIError` class.
*
* @param code - The error code from <code>{@link VertexAIErrorCode}</code>.
* @param message - A human-readable message describing the error.
* @param customErrorData - Optional error data.
*/
constructor(code: VertexAIErrorCode, message: string, customErrorData?: CustomErrorData | undefined);
}
/**
* Standardized error codes that <code>{@link VertexAIError}</code> can have.
*
* @public
*/
export declare const enum VertexAIErrorCode {
/** A generic error occurred. */
ERROR = "error",
/** An error occurred in a request. */
REQUEST_ERROR = "request-error",
/** An error occurred in a response. */
RESPONSE_ERROR = "response-error",
/** An error occurred while performing a fetch. */
FETCH_ERROR = "fetch-error",
/** An error associated with a Content object. */
INVALID_CONTENT = "invalid-content",
/** An error due to the Firebase API not being enabled in the Console. */
API_NOT_ENABLED = "api-not-enabled",
/** An error due to invalid Schema input. */
INVALID_SCHEMA = "invalid-schema",
/** An error occurred due to a missing Firebase API key. */
NO_API_KEY = "no-api-key",
/** An error occurred due to a model name not being specified during initialization. */
NO_MODEL = "no-model",
/** An error occurred due to a missing project ID. */
NO_PROJECT_ID = "no-project-id",
/** An error occurred while parsing. */
PARSE_FAILED = "parse-failed"
}
/**
* Options when initializing the Vertex AI in Firebase SDK.
* @public
*/
export declare interface VertexAIOptions {
location?: string;
}
/**
* Describes the input video content.
* @public
*/
export declare interface VideoMetadata {
/**
* The start offset of the video in
* protobuf {@link https://cloud.google.com/ruby/docs/reference/google-cloud-workflows-v1/latest/Google-Protobuf-Duration#json-mapping | Duration} format.
*/
startOffset: string;
/**
* The end offset of the video in
* protobuf {@link https://cloud.google.com/ruby/docs/reference/google-cloud-workflows-v1/latest/Google-Protobuf-Duration#json-mapping | Duration} format.
*/
endOffset: string;
}
/**
* @public
*/
export declare interface WebAttribution {
uri: string;
title: string;
}
export { }