sdk, del

1 files changed, 0 insertions, 3921 deletions

diff --git a/frontend-old/node_modules/@firebase/ai/dist/index.node.mjs b/frontend-old/node_modules/@firebase/ai/dist/index.node.mjs
deleted file mode 100644
index 46a24b4..0000000
--- a/frontend-old/node_modules/@firebase/ai/dist/index.node.mjs
+++ /dev/null
@@ -1,3921 +0,0 @@
-import { _isFirebaseServerApp, _getProvider, getApp, _registerComponent, registerVersion } from '@firebase/app';
-import { Component } from '@firebase/component';
-import { FirebaseError, Deferred, getModularInstance } from '@firebase/util';
-import { Logger } from '@firebase/logger';
-
-var name = "@firebase/ai";
-var version = "2.5.0";
-
-/**
- * @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.
- */
-const AI_TYPE = 'AI';
-const DEFAULT_LOCATION = 'us-central1';
-const DEFAULT_DOMAIN = 'firebasevertexai.googleapis.com';
-const DEFAULT_API_VERSION = 'v1beta';
-const PACKAGE_VERSION = version;
-const LANGUAGE_TAG = 'gl-js';
-const DEFAULT_FETCH_TIMEOUT_MS = 180 * 1000;
-/**
- * Defines the name of the default in-cloud model to use for hybrid inference.
- */
-const DEFAULT_HYBRID_IN_CLOUD_MODEL = 'gemini-2.0-flash-lite';
-
-/**
- * @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.
- */
-/**
- * Possible roles.
- * @public
- */
-const POSSIBLE_ROLES = ['user', 'model', 'function', 'system'];
-/**
- * Harm categories that would cause prompts or candidates to be blocked.
- * @public
- */
-const 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'
-};
-/**
- * Threshold above which a prompt or candidate will be blocked.
- * @public
- */
-const HarmBlockThreshold = {
-    /**
-     * Content with `NEGLIGIBLE` will be allowed.
-     */
-    BLOCK_LOW_AND_ABOVE: 'BLOCK_LOW_AND_ABOVE',
-    /**
-     * Content with `NEGLIGIBLE` and `LOW` will be allowed.
-     */
-    BLOCK_MEDIUM_AND_ABOVE: 'BLOCK_MEDIUM_AND_ABOVE',
-    /**
-     * Content with `NEGLIGIBLE`, `LOW`, and `MEDIUM` will be allowed.
-     */
-    BLOCK_ONLY_HIGH: 'BLOCK_ONLY_HIGH',
-    /**
-     * All content will be allowed.
-     */
-    BLOCK_NONE: 'BLOCK_NONE',
-    /**
-     * All content will be allowed. This is the same as `BLOCK_NONE`, but the metadata corresponding
-     * to the {@link (HarmCategory:type)} will not be present in the response.
-     */
-    OFF: 'OFF'
-};
-/**
- * This property is not supported in the Gemini Developer API ({@link GoogleAIBackend}).
- *
- * @public
- */
-const HarmBlockMethod = {
-    /**
-     * The harm block method uses both probability and severity scores.
-     */
-    SEVERITY: 'SEVERITY',
-    /**
-     * The harm block method uses the probability score.
-     */
-    PROBABILITY: 'PROBABILITY'
-};
-/**
- * Probability that a prompt or candidate matches a harm category.
- * @public
- */
-const HarmProbability = {
-    /**
-     * Content has a negligible chance of being unsafe.
-     */
-    NEGLIGIBLE: 'NEGLIGIBLE',
-    /**
-     * Content has a low chance of being unsafe.
-     */
-    LOW: 'LOW',
-    /**
-     * Content has a medium chance of being unsafe.
-     */
-    MEDIUM: 'MEDIUM',
-    /**
-     * Content has a high chance of being unsafe.
-     */
-    HIGH: 'HIGH'
-};
-/**
- * Harm severity levels.
- * @public
- */
-const HarmSeverity = {
-    /**
-     * Negligible level of harm severity.
-     */
-    HARM_SEVERITY_NEGLIGIBLE: 'HARM_SEVERITY_NEGLIGIBLE',
-    /**
-     * Low level of harm severity.
-     */
-    HARM_SEVERITY_LOW: 'HARM_SEVERITY_LOW',
-    /**
-     * Medium level of harm severity.
-     */
-    HARM_SEVERITY_MEDIUM: 'HARM_SEVERITY_MEDIUM',
-    /**
-     * High level of harm severity.
-     */
-    HARM_SEVERITY_HIGH: 'HARM_SEVERITY_HIGH',
-    /**
-     * Harm severity is not supported.
-     *
-     * @remarks
-     * The GoogleAI backend does not support `HarmSeverity`, so this value is used as a fallback.
-     */
-    HARM_SEVERITY_UNSUPPORTED: 'HARM_SEVERITY_UNSUPPORTED'
-};
-/**
- * Reason that a prompt was blocked.
- * @public
- */
-const BlockReason = {
-    /**
-     * Content was blocked by safety settings.
-     */
-    SAFETY: 'SAFETY',
-    /**
-     * Content was blocked, but the reason is uncategorized.
-     */
-    OTHER: 'OTHER',
-    /**
-     * Content was blocked because it contained terms from the terminology blocklist.
-     */
-    BLOCKLIST: 'BLOCKLIST',
-    /**
-     * Content was blocked due to prohibited content.
-     */
-    PROHIBITED_CONTENT: 'PROHIBITED_CONTENT'
-};
-/**
- * Reason that a candidate finished.
- * @public
- */
-const FinishReason = {
-    /**
-     * Natural stop point of the model or provided stop sequence.
-     */
-    STOP: 'STOP',
-    /**
-     * The maximum number of tokens as specified in the request was reached.
-     */
-    MAX_TOKENS: 'MAX_TOKENS',
-    /**
-     * The candidate content was flagged for safety reasons.
-     */
-    SAFETY: 'SAFETY',
-    /**
-     * The candidate content was flagged for recitation reasons.
-     */
-    RECITATION: 'RECITATION',
-    /**
-     * Unknown reason.
-     */
-    OTHER: 'OTHER',
-    /**
-     * The candidate content contained forbidden terms.
-     */
-    BLOCKLIST: 'BLOCKLIST',
-    /**
-     * The candidate content potentially contained prohibited content.
-     */
-    PROHIBITED_CONTENT: 'PROHIBITED_CONTENT',
-    /**
-     * The candidate content potentially contained Sensitive Personally Identifiable Information (SPII).
-     */
-    SPII: 'SPII',
-    /**
-     * The function call generated by the model was invalid.
-     */
-    MALFORMED_FUNCTION_CALL: 'MALFORMED_FUNCTION_CALL'
-};
-/**
- * @public
- */
-const FunctionCallingMode = {
-    /**
-     * Default model behavior; model decides to predict either a function call
-     * or a natural language response.
-     */
-    AUTO: 'AUTO',
-    /**
-     * Model is constrained to always predicting a function call only.
-     * If `allowed_function_names` is set, the predicted function call will be
-     * limited to any one of `allowed_function_names`, else the predicted
-     * function call will be any one of the provided `function_declarations`.
-     */
-    ANY: 'ANY',
-    /**
-     * Model will not predict any function call. Model behavior is same as when
-     * not passing any function declarations.
-     */
-    NONE: 'NONE'
-};
-/**
- * Content part modality.
- * @public
- */
-const Modality = {
-    /**
-     * Unspecified modality.
-     */
-    MODALITY_UNSPECIFIED: 'MODALITY_UNSPECIFIED',
-    /**
-     * Plain text.
-     */
-    TEXT: 'TEXT',
-    /**
-     * Image.
-     */
-    IMAGE: 'IMAGE',
-    /**
-     * Video.
-     */
-    VIDEO: 'VIDEO',
-    /**
-     * Audio.
-     */
-    AUDIO: 'AUDIO',
-    /**
-     * Document (for example, PDF).
-     */
-    DOCUMENT: 'DOCUMENT'
-};
-/**
- * Generation modalities to be returned in generation responses.
- *
- * @beta
- */
-const ResponseModality = {
-    /**
-     * Text.
-     * @beta
-     */
-    TEXT: 'TEXT',
-    /**
-     * Image.
-     * @beta
-     */
-    IMAGE: 'IMAGE',
-    /**
-     * Audio.
-     * @beta
-     */
-    AUDIO: 'AUDIO'
-};
-/**
- * Determines whether inference happens on-device or in-cloud.
- *
- * @remarks
- * <b>PREFER_ON_DEVICE:</b> Attempt to make inference calls using an
- * on-device model. If on-device inference is not available, the SDK
- * will fall back to using a cloud-hosted model.
- * <br/>
- * <b>ONLY_ON_DEVICE:</b> Only attempt to make inference calls using an
- * on-device model. The SDK will not fall back to a cloud-hosted model.
- * If on-device inference is not available, inference methods will throw.
- * <br/>
- * <b>ONLY_IN_CLOUD:</b> Only attempt to make inference calls using a
- * cloud-hosted model. The SDK will not fall back to an on-device model.
- * <br/>
- * <b>PREFER_IN_CLOUD:</b> Attempt to make inference calls to a
- * cloud-hosted model. If not available, the SDK will fall back to an
- * on-device model.
- *
- * @beta
- */
-const InferenceMode = {
-    'PREFER_ON_DEVICE': 'prefer_on_device',
-    'ONLY_ON_DEVICE': 'only_on_device',
-    'ONLY_IN_CLOUD': 'only_in_cloud',
-    'PREFER_IN_CLOUD': 'prefer_in_cloud'
-};
-/**
- * Indicates whether inference happened on-device or in-cloud.
- *
- * @beta
- */
-const InferenceSource = {
-    'ON_DEVICE': 'on_device',
-    'IN_CLOUD': 'in_cloud'
-};
-/**
- * Represents the result of the code execution.
- *
- * @beta
- */
-const Outcome = {
-    UNSPECIFIED: 'OUTCOME_UNSPECIFIED',
-    OK: 'OUTCOME_OK',
-    FAILED: 'OUTCOME_FAILED',
-    DEADLINE_EXCEEDED: 'OUTCOME_DEADLINE_EXCEEDED'
-};
-/**
- * The programming language of the code.
- *
- * @beta
- */
-const Language = {
-    UNSPECIFIED: 'LANGUAGE_UNSPECIFIED',
-    PYTHON: 'PYTHON'
-};
-
-/**
- * @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.
- */
-/**
- * The status of a URL retrieval.
- *
- * @remarks
- * <b>URL_RETRIEVAL_STATUS_UNSPECIFIED:</b> Unspecified retrieval status.
- * <br/>
- * <b>URL_RETRIEVAL_STATUS_SUCCESS:</b> The URL retrieval was successful.
- * <br/>
- * <b>URL_RETRIEVAL_STATUS_ERROR:</b> The URL retrieval failed.
- * <br/>
- * <b>URL_RETRIEVAL_STATUS_PAYWALL:</b> The URL retrieval failed because the content is behind a paywall.
- * <br/>
- * <b>URL_RETRIEVAL_STATUS_UNSAFE:</b> The URL retrieval failed because the content is unsafe.
- * <br/>
- *
- * @beta
- */
-const URLRetrievalStatus = {
-    /**
-     * Unspecified retrieval status.
-     */
-    URL_RETRIEVAL_STATUS_UNSPECIFIED: 'URL_RETRIEVAL_STATUS_UNSPECIFIED',
-    /**
-     * The URL retrieval was successful.
-     */
-    URL_RETRIEVAL_STATUS_SUCCESS: 'URL_RETRIEVAL_STATUS_SUCCESS',
-    /**
-     * The URL retrieval failed.
-     */
-    URL_RETRIEVAL_STATUS_ERROR: 'URL_RETRIEVAL_STATUS_ERROR',
-    /**
-     * The URL retrieval failed because the content is behind a paywall.
-     */
-    URL_RETRIEVAL_STATUS_PAYWALL: 'URL_RETRIEVAL_STATUS_PAYWALL',
-    /**
-     * The URL retrieval failed because the content is unsafe.
-     */
-    URL_RETRIEVAL_STATUS_UNSAFE: 'URL_RETRIEVAL_STATUS_UNSAFE'
-};
-/**
- * The types of responses that can be returned by {@link LiveSession.receive}.
- *
- * @beta
- */
-const LiveResponseType = {
-    SERVER_CONTENT: 'serverContent',
-    TOOL_CALL: 'toolCall',
-    TOOL_CALL_CANCELLATION: 'toolCallCancellation'
-};
-
-/**
- * @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.
- */
-/**
- * Standardized error codes that {@link AIError} can have.
- *
- * @public
- */
-const AIErrorCode = {
-    /** 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 occurred because an operation was attempted on a closed session. */
-    SESSION_CLOSED: 'session-closed',
-    /** 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 missing Firebase app ID. */
-    NO_APP_ID: 'no-app-id',
-    /** 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',
-    /** An error occurred due an attempt to use an unsupported feature. */
-    UNSUPPORTED: 'unsupported'
-};
-
-/**
- * @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
- */
-const 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'
-};
-
-/**
- * @license
- * Copyright 2025 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.
- */
-/**
- * A filter level controlling how aggressively to filter sensitive content.
- *
- * Text prompts provided as inputs and images (generated or uploaded) through Imagen on Vertex AI
- * are assessed against a list of safety filters, which include 'harmful categories' (for example,
- * `violence`, `sexual`, `derogatory`, and `toxic`). This filter level controls how aggressively to
- * filter out potentially harmful content from responses. See the {@link http://firebase.google.com/docs/vertex-ai/generate-images | documentation }
- * and the {@link https://cloud.google.com/vertex-ai/generative-ai/docs/image/responsible-ai-imagen#safety-filters | Responsible AI and usage guidelines}
- * for more details.
- *
- * @public
- */
-const ImagenSafetyFilterLevel = {
-    /**
-     * The most aggressive filtering level; most strict blocking.
-     */
-    BLOCK_LOW_AND_ABOVE: 'block_low_and_above',
-    /**
-     * Blocks some sensitive prompts and responses.
-     */
-    BLOCK_MEDIUM_AND_ABOVE: 'block_medium_and_above',
-    /**
-     * Blocks few sensitive prompts and responses.
-     */
-    BLOCK_ONLY_HIGH: 'block_only_high',
-    /**
-     * The least aggressive filtering level; blocks very few sensitive prompts and responses.
-     *
-     * Access to this feature is restricted and may require your case to be reviewed and approved by
-     * Cloud support.
-     */
-    BLOCK_NONE: 'block_none'
-};
-/**
- * A filter level controlling whether generation of images containing people or faces is allowed.
- *
- * See the <a href="http://firebase.google.com/docs/vertex-ai/generate-images">personGeneration</a>
- * documentation for more details.
- *
- * @public
- */
-const ImagenPersonFilterLevel = {
-    /**
-     * Disallow generation of images containing people or faces; images of people are filtered out.
-     */
-    BLOCK_ALL: 'dont_allow',
-    /**
-     * Allow generation of images containing adults only; images of children are filtered out.
-     *
-     * Generation of images containing people or faces may require your use case to be
-     * reviewed and approved by Cloud support; see the {@link https://cloud.google.com/vertex-ai/generative-ai/docs/image/responsible-ai-imagen#person-face-gen | Responsible AI and usage guidelines}
-     * for more details.
-     */
-    ALLOW_ADULT: 'allow_adult',
-    /**
-     * Allow generation of images containing adults only; images of children are filtered out.
-     *
-     * Generation of images containing people or faces may require your use case to be
-     * reviewed and approved by Cloud support; see the {@link https://cloud.google.com/vertex-ai/generative-ai/docs/image/responsible-ai-imagen#person-face-gen | Responsible AI and usage guidelines}
-     * for more details.
-     */
-    ALLOW_ALL: 'allow_all'
-};
-/**
- * Aspect ratios for Imagen images.
- *
- * To specify an aspect ratio for generated images, set the `aspectRatio` property in your
- * {@link ImagenGenerationConfig}.
- *
- * See the {@link http://firebase.google.com/docs/vertex-ai/generate-images | documentation }
- * for more details and examples of the supported aspect ratios.
- *
- * @public
- */
-const ImagenAspectRatio = {
-    /**
-     * Square (1:1) aspect ratio.
-     */
-    'SQUARE': '1:1',
-    /**
-     * Landscape (3:4) aspect ratio.
-     */
-    'LANDSCAPE_3x4': '3:4',
-    /**
-     * Portrait (4:3) aspect ratio.
-     */
-    'PORTRAIT_4x3': '4:3',
-    /**
-     * Landscape (16:9) aspect ratio.
-     */
-    'LANDSCAPE_16x9': '16:9',
-    /**
-     * Portrait (9:16) aspect ratio.
-     */
-    'PORTRAIT_9x16': '9:16'
-};
-
-/**
- * @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.
- */
-/**
- * An enum-like object containing constants that represent the supported backends
- * for the Firebase AI SDK.
- * This determines which backend service (Vertex AI Gemini API or Gemini Developer API)
- * the SDK will communicate with.
- *
- * These values are assigned to the `backendType` property within the specific backend
- * configuration objects ({@link GoogleAIBackend} or {@link VertexAIBackend}) to identify
- * which service to target.
- *
- * @public
- */
-const BackendType = {
-    /**
-     * Identifies the backend service for the Vertex AI Gemini API provided through Google Cloud.
-     * Use this constant when creating a {@link VertexAIBackend} configuration.
-     */
-    VERTEX_AI: 'VERTEX_AI',
-    /**
-     * Identifies the backend service for the Gemini Developer API ({@link https://ai.google/ | Google AI}).
-     * Use this constant when creating a {@link GoogleAIBackend} configuration.
-     */
-    GOOGLE_AI: 'GOOGLE_AI'
-}; // Using 'as const' makes the string values literal types
-
-/**
- * @license
- * Copyright 2025 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.
- */
-/**
- * Abstract base class representing the configuration for an AI service backend.
- * This class should not be instantiated directly. Use its subclasses; {@link GoogleAIBackend} for
- * the Gemini Developer API (via {@link https://ai.google/ | Google AI}), and
- * {@link VertexAIBackend} for the Vertex AI Gemini API.
- *
- * @public
- */
-class Backend {
-    /**
-     * Protected constructor for use by subclasses.
-     * @param type - The backend type.
-     */
-    constructor(type) {
-        this.backendType = type;
-    }
-}
-/**
- * Configuration class for the Gemini Developer API.
- *
- * Use this with {@link AIOptions} when initializing the AI service via
- * {@link getAI | getAI()} to specify the Gemini Developer API as the backend.
- *
- * @public
- */
-class GoogleAIBackend extends Backend {
-    /**
-     * Creates a configuration object for the Gemini Developer API backend.
-     */
-    constructor() {
-        super(BackendType.GOOGLE_AI);
-    }
-}
-/**
- * Configuration class for the Vertex AI Gemini API.
- *
- * Use this with {@link AIOptions} when initializing the AI service via
- * {@link getAI | getAI()} to specify the Vertex AI Gemini API as the backend.
- *
- * @public
- */
-class VertexAIBackend extends Backend {
-    /**
-     * Creates a configuration object for the Vertex AI backend.
-     *
-     * @param location - The region identifier, defaulting to `us-central1`;
-     * see {@link https://firebase.google.com/docs/vertex-ai/locations#available-locations | Vertex AI locations}
-     * for a list of supported locations.
-     */
-    constructor(location = DEFAULT_LOCATION) {
-        super(BackendType.VERTEX_AI);
-        if (!location) {
-            this.location = DEFAULT_LOCATION;
-        }
-        else {
-            this.location = location;
-        }
-    }
-}
-
-/**
- * @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.
- */
-class AIService {
-    constructor(app, backend, authProvider, appCheckProvider, chromeAdapterFactory) {
-        this.app = app;
-        this.backend = backend;
-        this.chromeAdapterFactory = chromeAdapterFactory;
-        const appCheck = appCheckProvider?.getImmediate({ optional: true });
-        const auth = authProvider?.getImmediate({ optional: true });
-        this.auth = auth || null;
-        this.appCheck = appCheck || null;
-        if (backend instanceof VertexAIBackend) {
-            this.location = backend.location;
-        }
-        else {
-            this.location = '';
-        }
-    }
-    _delete() {
-        return Promise.resolve();
-    }
-    set options(optionsToSet) {
-        this._options = optionsToSet;
-    }
-    get options() {
-        return this._options;
-    }
-}
-
-/**
- * @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.
- */
-/**
- * Error class for the Firebase AI SDK.
- *
- * @public
- */
-class AIError extends FirebaseError {
-    /**
-     * Constructs a new instance of the `AIError` class.
-     *
-     * @param code - The error code from {@link (AIErrorCode:type)}.
-     * @param message - A human-readable message describing the error.
-     * @param customErrorData - Optional error data.
-     */
-    constructor(code, message, customErrorData) {
-        // Match error format used by FirebaseError from ErrorFactory
-        const service = AI_TYPE;
-        const fullCode = `${service}/${code}`;
-        const fullMessage = `${service}: ${message} (${fullCode})`;
-        super(code, fullMessage);
-        this.code = code;
-        this.customErrorData = customErrorData;
-        // FirebaseError initializes a stack trace, but it assumes the error is created from the error
-        // factory. Since we break this assumption, we set the stack trace to be originating from this
-        // constructor.
-        // This is only supported in V8.
-        if (Error.captureStackTrace) {
-            // Allows us to initialize the stack trace without including the constructor itself at the
-            // top level of the stack trace.
-            Error.captureStackTrace(this, AIError);
-        }
-        // Allows instanceof AIError in ES5/ES6
-        // https://github.com/Microsoft/TypeScript-wiki/blob/master/Breaking-Changes.md#extending-built-ins-like-error-array-and-map-may-no-longer-work
-        // TODO(dlarocque): Replace this with `new.target`: https://www.typescriptlang.org/docs/handbook/release-notes/typescript-2-2.html#support-for-newtarget
-        //                   which we can now use since we no longer target ES5.
-        Object.setPrototypeOf(this, AIError.prototype);
-        // Since Error is an interface, we don't inherit toString and so we define it ourselves.
-        this.toString = () => fullMessage;
-    }
-}
-
-/**
- * @license
- * Copyright 2025 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.
- */
-/**
- * Encodes a {@link Backend} into a string that will be used to uniquely identify {@link AI}
- * instances by backend type.
- *
- * @internal
- */
-function encodeInstanceIdentifier(backend) {
-    if (backend instanceof GoogleAIBackend) {
-        return `${AI_TYPE}/googleai`;
-    }
-    else if (backend instanceof VertexAIBackend) {
-        return `${AI_TYPE}/vertexai/${backend.location}`;
-    }
-    else {
-        throw new AIError(AIErrorCode.ERROR, `Invalid backend: ${JSON.stringify(backend.backendType)}`);
-    }
-}
-/**
- * Decodes an instance identifier string into a {@link Backend}.
- *
- * @internal
- */
-function decodeInstanceIdentifier(instanceIdentifier) {
-    const identifierParts = instanceIdentifier.split('/');
-    if (identifierParts[0] !== AI_TYPE) {
-        throw new AIError(AIErrorCode.ERROR, `Invalid instance identifier, unknown prefix '${identifierParts[0]}'`);
-    }
-    const backendType = identifierParts[1];
-    switch (backendType) {
-        case 'vertexai':
-            const location = identifierParts[2];
-            if (!location) {
-                throw new AIError(AIErrorCode.ERROR, `Invalid instance identifier, unknown location '${instanceIdentifier}'`);
-            }
-            return new VertexAIBackend(location);
-        case 'googleai':
-            return new GoogleAIBackend();
-        default:
-            throw new AIError(AIErrorCode.ERROR, `Invalid instance identifier string: '${instanceIdentifier}'`);
-    }
-}
-
-/**
- * @license
- * Copyright 2025 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.
- */
-/**
- * Base class for Firebase AI model APIs.
- *
- * Instances of this class are associated with a specific Firebase AI {@link Backend}
- * and provide methods for interacting with the configured generative model.
- *
- * @public
- */
-class AIModel {
-    /**
-     * Constructs a new instance of the {@link AIModel} class.
-     *
-     * This constructor should only be called from subclasses that provide
-     * a model API.
-     *
-     * @param ai - an {@link AI} instance.
-     * @param modelName - The name of the model being used. It can be in one of the following formats:
-     * - `my-model` (short name, will resolve to `publishers/google/models/my-model`)
-     * - `models/my-model` (will resolve to `publishers/google/models/my-model`)
-     * - `publishers/my-publisher/models/my-model` (fully qualified model name)
-     *
-     * @throws If the `apiKey` or `projectId` fields are missing in your
-     * Firebase config.
-     *
-     * @internal
-     */
-    constructor(ai, modelName) {
-        if (!ai.app?.options?.apiKey) {
-            throw new AIError(AIErrorCode.NO_API_KEY, `The "apiKey" field is empty in the local Firebase config. Firebase AI requires this field to contain a valid API key.`);
-        }
-        else if (!ai.app?.options?.projectId) {
-            throw new AIError(AIErrorCode.NO_PROJECT_ID, `The "projectId" field is empty in the local Firebase config. Firebase AI requires this field to contain a valid project ID.`);
-        }
-        else if (!ai.app?.options?.appId) {
-            throw new AIError(AIErrorCode.NO_APP_ID, `The "appId" field is empty in the local Firebase config. Firebase AI requires this field to contain a valid app ID.`);
-        }
-        else {
-            this._apiSettings = {
-                apiKey: ai.app.options.apiKey,
-                project: ai.app.options.projectId,
-                appId: ai.app.options.appId,
-                automaticDataCollectionEnabled: ai.app.automaticDataCollectionEnabled,
-                location: ai.location,
-                backend: ai.backend
-            };
-            if (_isFirebaseServerApp(ai.app) && ai.app.settings.appCheckToken) {
-                const token = ai.app.settings.appCheckToken;
-                this._apiSettings.getAppCheckToken = () => {
-                    return Promise.resolve({ token });
-                };
-            }
-            else if (ai.appCheck) {
-                if (ai.options?.useLimitedUseAppCheckTokens) {
-                    this._apiSettings.getAppCheckToken = () => ai.appCheck.getLimitedUseToken();
-                }
-                else {
-                    this._apiSettings.getAppCheckToken = () => ai.appCheck.getToken();
-                }
-            }
-            if (ai.auth) {
-                this._apiSettings.getAuthToken = () => ai.auth.getToken();
-            }
-            this.model = AIModel.normalizeModelName(modelName, this._apiSettings.backend.backendType);
-        }
-    }
-    /**
-     * Normalizes the given model name to a fully qualified model resource name.
-     *
-     * @param modelName - The model name to normalize.
-     * @returns The fully qualified model resource name.
-     *
-     * @internal
-     */
-    static normalizeModelName(modelName, backendType) {
-        if (backendType === BackendType.GOOGLE_AI) {
-            return AIModel.normalizeGoogleAIModelName(modelName);
-        }
-        else {
-            return AIModel.normalizeVertexAIModelName(modelName);
-        }
-    }
-    /**
-     * @internal
-     */
-    static normalizeGoogleAIModelName(modelName) {
-        return `models/${modelName}`;
-    }
-    /**
-     * @internal
-     */
-    static normalizeVertexAIModelName(modelName) {
-        let model;
-        if (modelName.includes('/')) {
-            if (modelName.startsWith('models/')) {
-                // Add 'publishers/google' if the user is only passing in 'models/model-name'.
-                model = `publishers/google/${modelName}`;
-            }
-            else {
-                // Any other custom format (e.g. tuned models) must be passed in correctly.
-                model = modelName;
-            }
-        }
-        else {
-            // If path is not included, assume it's a non-tuned model.
-            model = `publishers/google/models/${modelName}`;
-        }
-        return model;
-    }
-}
-
-/**
- * @license
- * Copyright 2024 Google LLC
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- *   http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-const logger = new Logger('@firebase/vertexai');
-
-/**
- * @license
- * Copyright 2024 Google LLC
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- *   http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-var Task;
-(function (Task) {
-    Task["GENERATE_CONTENT"] = "generateContent";
-    Task["STREAM_GENERATE_CONTENT"] = "streamGenerateContent";
-    Task["COUNT_TOKENS"] = "countTokens";
-    Task["PREDICT"] = "predict";
-})(Task || (Task = {}));
-class RequestUrl {
-    constructor(model, task, apiSettings, stream, requestOptions) {
-        this.model = model;
-        this.task = task;
-        this.apiSettings = apiSettings;
-        this.stream = stream;
-        this.requestOptions = requestOptions;
-    }
-    toString() {
-        const url = new URL(this.baseUrl); // Throws if the URL is invalid
-        url.pathname = `/${this.apiVersion}/${this.modelPath}:${this.task}`;
-        url.search = this.queryParams.toString();
-        return url.toString();
-    }
-    get baseUrl() {
-        return this.requestOptions?.baseUrl || `https://${DEFAULT_DOMAIN}`;
-    }
-    get apiVersion() {
-        return DEFAULT_API_VERSION; // TODO: allow user-set options if that feature becomes available
-    }
-    get modelPath() {
-        if (this.apiSettings.backend instanceof GoogleAIBackend) {
-            return `projects/${this.apiSettings.project}/${this.model}`;
-        }
-        else if (this.apiSettings.backend instanceof VertexAIBackend) {
-            return `projects/${this.apiSettings.project}/locations/${this.apiSettings.backend.location}/${this.model}`;
-        }
-        else {
-            throw new AIError(AIErrorCode.ERROR, `Invalid backend: ${JSON.stringify(this.apiSettings.backend)}`);
-        }
-    }
-    get queryParams() {
-        const params = new URLSearchParams();
-        if (this.stream) {
-            params.set('alt', 'sse');
-        }
-        return params;
-    }
-}
-class WebSocketUrl {
-    constructor(apiSettings) {
-        this.apiSettings = apiSettings;
-    }
-    toString() {
-        const url = new URL(`wss://${DEFAULT_DOMAIN}`);
-        url.pathname = this.pathname;
-        const queryParams = new URLSearchParams();
-        queryParams.set('key', this.apiSettings.apiKey);
-        url.search = queryParams.toString();
-        return url.toString();
-    }
-    get pathname() {
-        if (this.apiSettings.backend.backendType === BackendType.GOOGLE_AI) {
-            return 'ws/google.firebase.vertexai.v1beta.GenerativeService/BidiGenerateContent';
-        }
-        else {
-            return `ws/google.firebase.vertexai.v1beta.LlmBidiService/BidiGenerateContent/locations/${this.apiSettings.location}`;
-        }
-    }
-}
-/**
- * Log language and "fire/version" to x-goog-api-client
- */
-function getClientHeaders() {
-    const loggingTags = [];
-    loggingTags.push(`${LANGUAGE_TAG}/${PACKAGE_VERSION}`);
-    loggingTags.push(`fire/${PACKAGE_VERSION}`);
-    return loggingTags.join(' ');
-}
-async function getHeaders(url) {
-    const headers = new Headers();
-    headers.append('Content-Type', 'application/json');
-    headers.append('x-goog-api-client', getClientHeaders());
-    headers.append('x-goog-api-key', url.apiSettings.apiKey);
-    if (url.apiSettings.automaticDataCollectionEnabled) {
-        headers.append('X-Firebase-Appid', url.apiSettings.appId);
-    }
-    if (url.apiSettings.getAppCheckToken) {
-        const appCheckToken = await url.apiSettings.getAppCheckToken();
-        if (appCheckToken) {
-            headers.append('X-Firebase-AppCheck', appCheckToken.token);
-            if (appCheckToken.error) {
-                logger.warn(`Unable to obtain a valid App Check token: ${appCheckToken.error.message}`);
-            }
-        }
-    }
-    if (url.apiSettings.getAuthToken) {
-        const authToken = await url.apiSettings.getAuthToken();
-        if (authToken) {
-            headers.append('Authorization', `Firebase ${authToken.accessToken}`);
-        }
-    }
-    return headers;
-}
-async function constructRequest(model, task, apiSettings, stream, body, requestOptions) {
-    const url = new RequestUrl(model, task, apiSettings, stream, requestOptions);
-    return {
-        url: url.toString(),
-        fetchOptions: {
-            method: 'POST',
-            headers: await getHeaders(url),
-            body
-        }
-    };
-}
-async function makeRequest(model, task, apiSettings, stream, body, requestOptions) {
-    const url = new RequestUrl(model, task, apiSettings, stream, requestOptions);
-    let response;
-    let fetchTimeoutId;
-    try {
-        const request = await constructRequest(model, task, apiSettings, stream, body, requestOptions);
-        // Timeout is 180s by default
-        const timeoutMillis = requestOptions?.timeout != null && requestOptions.timeout >= 0
-            ? requestOptions.timeout
-            : DEFAULT_FETCH_TIMEOUT_MS;
-        const abortController = new AbortController();
-        fetchTimeoutId = setTimeout(() => abortController.abort(), timeoutMillis);
-        request.fetchOptions.signal = abortController.signal;
-        response = await fetch(request.url, request.fetchOptions);
-        if (!response.ok) {
-            let message = '';
-            let errorDetails;
-            try {
-                const json = await response.json();
-                message = json.error.message;
-                if (json.error.details) {
-                    message += ` ${JSON.stringify(json.error.details)}`;
-                    errorDetails = json.error.details;
-                }
-            }
-            catch (e) {
-                // ignored
-            }
-            if (response.status === 403 &&
-                errorDetails &&
-                errorDetails.some((detail) => detail.reason === 'SERVICE_DISABLED') &&
-                errorDetails.some((detail) => detail.links?.[0]?.description.includes('Google developers console API activation'))) {
-                throw new AIError(AIErrorCode.API_NOT_ENABLED, `The Firebase AI SDK requires the Firebase AI ` +
-                    `API ('firebasevertexai.googleapis.com') to be enabled in your ` +
-                    `Firebase project. Enable this API by visiting the Firebase Console ` +
-                    `at https://console.firebase.google.com/project/${url.apiSettings.project}/genai/ ` +
-                    `and clicking "Get started". If you enabled this API recently, ` +
-                    `wait a few minutes for the action to propagate to our systems and ` +
-                    `then retry.`, {
-                    status: response.status,
-                    statusText: response.statusText,
-                    errorDetails
-                });
-            }
-            throw new AIError(AIErrorCode.FETCH_ERROR, `Error fetching from ${url}: [${response.status} ${response.statusText}] ${message}`, {
-                status: response.status,
-                statusText: response.statusText,
-                errorDetails
-            });
-        }
-    }
-    catch (e) {
-        let err = e;
-        if (e.code !== AIErrorCode.FETCH_ERROR &&
-            e.code !== AIErrorCode.API_NOT_ENABLED &&
-            e instanceof Error) {
-            err = new AIError(AIErrorCode.ERROR, `Error fetching from ${url.toString()}: ${e.message}`);
-            err.stack = e.stack;
-        }
-        throw err;
-    }
-    finally {
-        if (fetchTimeoutId) {
-            clearTimeout(fetchTimeoutId);
-        }
-    }
-    return response;
-}
-
-/**
- * @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.
- */
-/**
- * Check that at least one candidate exists and does not have a bad
- * finish reason. Warns if multiple candidates exist.
- */
-function hasValidCandidates(response) {
-    if (response.candidates && response.candidates.length > 0) {
-        if (response.candidates.length > 1) {
-            logger.warn(`This response had ${response.candidates.length} ` +
-                `candidates. Returning text from the first candidate only. ` +
-                `Access response.candidates directly to use the other candidates.`);
-        }
-        if (hadBadFinishReason(response.candidates[0])) {
-            throw new AIError(AIErrorCode.RESPONSE_ERROR, `Response error: ${formatBlockErrorMessage(response)}. Response body stored in error.response`, {
-                response
-            });
-        }
-        return true;
-    }
-    else {
-        return false;
-    }
-}
-/**
- * Creates an EnhancedGenerateContentResponse object that has helper functions and
- * other modifications that improve usability.
- */
-function createEnhancedContentResponse(response, inferenceSource = InferenceSource.IN_CLOUD) {
-    /**
-     * The Vertex AI backend omits default values.
-     * This causes the `index` property to be omitted from the first candidate in the
-     * response, since it has index 0, and 0 is a default value.
-     * See: https://github.com/firebase/firebase-js-sdk/issues/8566
-     */
-    if (response.candidates && !response.candidates[0].hasOwnProperty('index')) {
-        response.candidates[0].index = 0;
-    }
-    const responseWithHelpers = addHelpers(response);
-    responseWithHelpers.inferenceSource = inferenceSource;
-    return responseWithHelpers;
-}
-/**
- * Adds convenience helper methods to a response object, including stream
- * chunks (as long as each chunk is a complete GenerateContentResponse JSON).
- */
-function addHelpers(response) {
-    response.text = () => {
-        if (hasValidCandidates(response)) {
-            return getText(response, part => !part.thought);
-        }
-        else if (response.promptFeedback) {
-            throw new AIError(AIErrorCode.RESPONSE_ERROR, `Text not available. ${formatBlockErrorMessage(response)}`, {
-                response
-            });
-        }
-        return '';
-    };
-    response.thoughtSummary = () => {
-        if (hasValidCandidates(response)) {
-            const result = getText(response, part => !!part.thought);
-            return result === '' ? undefined : result;
-        }
-        else if (response.promptFeedback) {
-            throw new AIError(AIErrorCode.RESPONSE_ERROR, `Thought summary not available. ${formatBlockErrorMessage(response)}`, {
-                response
-            });
-        }
-        return undefined;
-    };
-    response.inlineDataParts = () => {
-        if (hasValidCandidates(response)) {
-            return getInlineDataParts(response);
-        }
-        else if (response.promptFeedback) {
-            throw new AIError(AIErrorCode.RESPONSE_ERROR, `Data not available. ${formatBlockErrorMessage(response)}`, {
-                response
-            });
-        }
-        return undefined;
-    };
-    response.functionCalls = () => {
-        if (hasValidCandidates(response)) {
-            return getFunctionCalls(response);
-        }
-        else if (response.promptFeedback) {
-            throw new AIError(AIErrorCode.RESPONSE_ERROR, `Function call not available. ${formatBlockErrorMessage(response)}`, {
-                response
-            });
-        }
-        return undefined;
-    };
-    return response;
-}
-/**
- * Returns all text from the first candidate's parts, filtering by whether
- * `partFilter()` returns true.
- *
- * @param response - The `GenerateContentResponse` from which to extract text.
- * @param partFilter - Only return `Part`s for which this returns true
- */
-function getText(response, partFilter) {
-    const textStrings = [];
-    if (response.candidates?.[0].content?.parts) {
-        for (const part of response.candidates?.[0].content?.parts) {
-            if (part.text && partFilter(part)) {
-                textStrings.push(part.text);
-            }
-        }
-    }
-    if (textStrings.length > 0) {
-        return textStrings.join('');
-    }
-    else {
-        return '';
-    }
-}
-/**
- * Returns every {@link FunctionCall} associated with first candidate.
- */
-function getFunctionCalls(response) {
-    const functionCalls = [];
-    if (response.candidates?.[0].content?.parts) {
-        for (const part of response.candidates?.[0].content?.parts) {
-            if (part.functionCall) {
-                functionCalls.push(part.functionCall);
-            }
-        }
-    }
-    if (functionCalls.length > 0) {
-        return functionCalls;
-    }
-    else {
-        return undefined;
-    }
-}
-/**
- * Returns every {@link InlineDataPart} in the first candidate if present.
- *
- * @internal
- */
-function getInlineDataParts(response) {
-    const data = [];
-    if (response.candidates?.[0].content?.parts) {
-        for (const part of response.candidates?.[0].content?.parts) {
-            if (part.inlineData) {
-                data.push(part);
-            }
-        }
-    }
-    if (data.length > 0) {
-        return data;
-    }
-    else {
-        return undefined;
-    }
-}
-const badFinishReasons = [FinishReason.RECITATION, FinishReason.SAFETY];
-function hadBadFinishReason(candidate) {
-    return (!!candidate.finishReason &&
-        badFinishReasons.some(reason => reason === candidate.finishReason));
-}
-function formatBlockErrorMessage(response) {
-    let message = '';
-    if ((!response.candidates || response.candidates.length === 0) &&
-        response.promptFeedback) {
-        message += 'Response was blocked';
-        if (response.promptFeedback?.blockReason) {
-            message += ` due to ${response.promptFeedback.blockReason}`;
-        }
-        if (response.promptFeedback?.blockReasonMessage) {
-            message += `: ${response.promptFeedback.blockReasonMessage}`;
-        }
-    }
-    else if (response.candidates?.[0]) {
-        const firstCandidate = response.candidates[0];
-        if (hadBadFinishReason(firstCandidate)) {
-            message += `Candidate was blocked due to ${firstCandidate.finishReason}`;
-            if (firstCandidate.finishMessage) {
-                message += `: ${firstCandidate.finishMessage}`;
-            }
-        }
-    }
-    return message;
-}
-/**
- * Convert a generic successful fetch response body to an Imagen response object
- * that can be returned to the user. This converts the REST APIs response format to our
- * APIs representation of a response.
- *
- * @internal
- */
-async function handlePredictResponse(response) {
-    const responseJson = await response.json();
-    const images = [];
-    let filteredReason = undefined;
-    // The backend should always send a non-empty array of predictions if the response was successful.
-    if (!responseJson.predictions || responseJson.predictions?.length === 0) {
-        throw new AIError(AIErrorCode.RESPONSE_ERROR, 'No predictions or filtered reason received from Vertex AI. Please report this issue with the full error details at https://github.com/firebase/firebase-js-sdk/issues.');
-    }
-    for (const prediction of responseJson.predictions) {
-        if (prediction.raiFilteredReason) {
-            filteredReason = prediction.raiFilteredReason;
-        }
-        else if (prediction.mimeType && prediction.bytesBase64Encoded) {
-            images.push({
-                mimeType: prediction.mimeType,
-                bytesBase64Encoded: prediction.bytesBase64Encoded
-            });
-        }
-        else if (prediction.mimeType && prediction.gcsUri) {
-            images.push({
-                mimeType: prediction.mimeType,
-                gcsURI: prediction.gcsUri
-            });
-        }
-        else if (prediction.safetyAttributes) ;
-        else {
-            throw new AIError(AIErrorCode.RESPONSE_ERROR, `Unexpected element in 'predictions' array in response: '${JSON.stringify(prediction)}'`);
-        }
-    }
-    return { images, filteredReason };
-}
-
-/**
- * @license
- * Copyright 2025 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.
- */
-/**
- * This SDK supports both the Vertex AI Gemini API and the Gemini Developer API (using Google AI).
- * The public API prioritizes the format used by the Vertex AI Gemini API.
- * We avoid having two sets of types by translating requests and responses between the two API formats.
- * This translation allows developers to switch between the Vertex AI Gemini API and the Gemini Developer API
- * with minimal code changes.
- *
- * In here are functions that map requests and responses between the two API formats.
- * Requests in the Vertex AI format are mapped to the Google AI format before being sent.
- * Responses from the Google AI backend are mapped back to the Vertex AI format before being returned to the user.
- */
-/**
- * Maps a Vertex AI {@link GenerateContentRequest} to a format that can be sent to Google AI.
- *
- * @param generateContentRequest The {@link GenerateContentRequest} to map.
- * @returns A {@link GenerateContentResponse} that conforms to the Google AI format.
- *
- * @throws If the request contains properties that are unsupported by Google AI.
- *
- * @internal
- */
-function mapGenerateContentRequest(generateContentRequest) {
-    generateContentRequest.safetySettings?.forEach(safetySetting => {
-        if (safetySetting.method) {
-            throw new AIError(AIErrorCode.UNSUPPORTED, 'SafetySetting.method is not supported in the the Gemini Developer API. Please remove this property.');
-        }
-    });
-    if (generateContentRequest.generationConfig?.topK) {
-        const roundedTopK = Math.round(generateContentRequest.generationConfig.topK);
-        if (roundedTopK !== generateContentRequest.generationConfig.topK) {
-            logger.warn('topK in GenerationConfig has been rounded to the nearest integer to match the format for requests to the Gemini Developer API.');
-            generateContentRequest.generationConfig.topK = roundedTopK;
-        }
-    }
-    return generateContentRequest;
-}
-/**
- * Maps a {@link GenerateContentResponse} from Google AI to the format of the
- * {@link GenerateContentResponse} that we get from VertexAI that is exposed in the public API.
- *
- * @param googleAIResponse The {@link GenerateContentResponse} from Google AI.
- * @returns A {@link GenerateContentResponse} that conforms to the public API's format.
- *
- * @internal
- */
-function mapGenerateContentResponse(googleAIResponse) {
-    const generateContentResponse = {
-        candidates: googleAIResponse.candidates
-            ? mapGenerateContentCandidates(googleAIResponse.candidates)
-            : undefined,
-        prompt: googleAIResponse.promptFeedback
-            ? mapPromptFeedback(googleAIResponse.promptFeedback)
-            : undefined,
-        usageMetadata: googleAIResponse.usageMetadata
-    };
-    return generateContentResponse;
-}
-/**
- * Maps a Vertex AI {@link CountTokensRequest} to a format that can be sent to Google AI.
- *
- * @param countTokensRequest The {@link CountTokensRequest} to map.
- * @param model The model to count tokens with.
- * @returns A {@link CountTokensRequest} that conforms to the Google AI format.
- *
- * @internal
- */
-function mapCountTokensRequest(countTokensRequest, model) {
-    const mappedCountTokensRequest = {
-        generateContentRequest: {
-            model,
-            ...countTokensRequest
-        }
-    };
-    return mappedCountTokensRequest;
-}
-/**
- * Maps a Google AI {@link GoogleAIGenerateContentCandidate} to a format that conforms
- * to the Vertex AI API format.
- *
- * @param candidates The {@link GoogleAIGenerateContentCandidate} to map.
- * @returns A {@link GenerateContentCandidate} that conforms to the Vertex AI format.
- *
- * @throws If any {@link Part} in the candidates has a `videoMetadata` property.
- *
- * @internal
- */
-function mapGenerateContentCandidates(candidates) {
-    const mappedCandidates = [];
-    let mappedSafetyRatings;
-    if (mappedCandidates) {
-        candidates.forEach(candidate => {
-            // Map citationSources to citations.
-            let citationMetadata;
-            if (candidate.citationMetadata) {
-                citationMetadata = {
-                    citations: candidate.citationMetadata.citationSources
-                };
-            }
-            // Assign missing candidate SafetyRatings properties to their defaults if undefined.
-            if (candidate.safetyRatings) {
-                mappedSafetyRatings = candidate.safetyRatings.map(safetyRating => {
-                    return {
-                        ...safetyRating,
-                        severity: safetyRating.severity ?? HarmSeverity.HARM_SEVERITY_UNSUPPORTED,
-                        probabilityScore: safetyRating.probabilityScore ?? 0,
-                        severityScore: safetyRating.severityScore ?? 0
-                    };
-                });
-            }
-            // videoMetadata is not supported.
-            // Throw early since developers may send a long video as input and only expect to pay
-            // for inference on a small portion of the video.
-            if (candidate.content?.parts?.some(part => part?.videoMetadata)) {
-                throw new AIError(AIErrorCode.UNSUPPORTED, 'Part.videoMetadata is not supported in the Gemini Developer API. Please remove this property.');
-            }
-            const mappedCandidate = {
-                index: candidate.index,
-                content: candidate.content,
-                finishReason: candidate.finishReason,
-                finishMessage: candidate.finishMessage,
-                safetyRatings: mappedSafetyRatings,
-                citationMetadata,
-                groundingMetadata: candidate.groundingMetadata,
-                urlContextMetadata: candidate.urlContextMetadata
-            };
-            mappedCandidates.push(mappedCandidate);
-        });
-    }
-    return mappedCandidates;
-}
-function mapPromptFeedback(promptFeedback) {
-    // Assign missing SafetyRating properties to their defaults if undefined.
-    const mappedSafetyRatings = [];
-    promptFeedback.safetyRatings.forEach(safetyRating => {
-        mappedSafetyRatings.push({
-            category: safetyRating.category,
-            probability: safetyRating.probability,
-            severity: safetyRating.severity ?? HarmSeverity.HARM_SEVERITY_UNSUPPORTED,
-            probabilityScore: safetyRating.probabilityScore ?? 0,
-            severityScore: safetyRating.severityScore ?? 0,
-            blocked: safetyRating.blocked
-        });
-    });
-    const mappedPromptFeedback = {
-        blockReason: promptFeedback.blockReason,
-        safetyRatings: mappedSafetyRatings,
-        blockReasonMessage: promptFeedback.blockReasonMessage
-    };
-    return mappedPromptFeedback;
-}
-
-/**
- * @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.
- */
-const responseLineRE = /^data\: (.*)(?:\n\n|\r\r|\r\n\r\n)/;
-/**
- * Process a response.body stream from the backend and return an
- * iterator that provides one complete GenerateContentResponse at a time
- * and a promise that resolves with a single aggregated
- * GenerateContentResponse.
- *
- * @param response - Response from a fetch call
- */
-function processStream(response, apiSettings, inferenceSource) {
-    const inputStream = response.body.pipeThrough(new TextDecoderStream('utf8', { fatal: true }));
-    const responseStream = getResponseStream(inputStream);
-    const [stream1, stream2] = responseStream.tee();
-    return {
-        stream: generateResponseSequence(stream1, apiSettings, inferenceSource),
-        response: getResponsePromise(stream2, apiSettings, inferenceSource)
-    };
-}
-async function getResponsePromise(stream, apiSettings, inferenceSource) {
-    const allResponses = [];
-    const reader = stream.getReader();
-    while (true) {
-        const { done, value } = await reader.read();
-        if (done) {
-            let generateContentResponse = aggregateResponses(allResponses);
-            if (apiSettings.backend.backendType === BackendType.GOOGLE_AI) {
-                generateContentResponse = mapGenerateContentResponse(generateContentResponse);
-            }
-            return createEnhancedContentResponse(generateContentResponse, inferenceSource);
-        }
-        allResponses.push(value);
-    }
-}
-async function* generateResponseSequence(stream, apiSettings, inferenceSource) {
-    const reader = stream.getReader();
-    while (true) {
-        const { value, done } = await reader.read();
-        if (done) {
-            break;
-        }
-        let enhancedResponse;
-        if (apiSettings.backend.backendType === BackendType.GOOGLE_AI) {
-            enhancedResponse = createEnhancedContentResponse(mapGenerateContentResponse(value), inferenceSource);
-        }
-        else {
-            enhancedResponse = createEnhancedContentResponse(value, inferenceSource);
-        }
-        const firstCandidate = enhancedResponse.candidates?.[0];
-        // Don't yield a response with no useful data for the developer.
-        if (!firstCandidate?.content?.parts &&
-            !firstCandidate?.finishReason &&
-            !firstCandidate?.citationMetadata &&
-            !firstCandidate?.urlContextMetadata) {
-            continue;
-        }
-        yield enhancedResponse;
-    }
-}
-/**
- * Reads a raw stream from the fetch response and join incomplete
- * chunks, returning a new stream that provides a single complete
- * GenerateContentResponse in each iteration.
- */
-function getResponseStream(inputStream) {
-    const reader = inputStream.getReader();
-    const stream = new ReadableStream({
-        start(controller) {
-            let currentText = '';
-            return pump();
-            function pump() {
-                return reader.read().then(({ value, done }) => {
-                    if (done) {
-                        if (currentText.trim()) {
-                            controller.error(new AIError(AIErrorCode.PARSE_FAILED, 'Failed to parse stream'));
-                            return;
-                        }
-                        controller.close();
-                        return;
-                    }
-                    currentText += value;
-                    let match = currentText.match(responseLineRE);
-                    let parsedResponse;
-                    while (match) {
-                        try {
-                            parsedResponse = JSON.parse(match[1]);
-                        }
-                        catch (e) {
-                            controller.error(new AIError(AIErrorCode.PARSE_FAILED, `Error parsing JSON response: "${match[1]}`));
-                            return;
-                        }
-                        controller.enqueue(parsedResponse);
-                        currentText = currentText.substring(match[0].length);
-                        match = currentText.match(responseLineRE);
-                    }
-                    return pump();
-                });
-            }
-        }
-    });
-    return stream;
-}
-/**
- * Aggregates an array of `GenerateContentResponse`s into a single
- * GenerateContentResponse.
- */
-function aggregateResponses(responses) {
-    const lastResponse = responses[responses.length - 1];
-    const aggregatedResponse = {
-        promptFeedback: lastResponse?.promptFeedback
-    };
-    for (const response of responses) {
-        if (response.candidates) {
-            for (const candidate of response.candidates) {
-                // Index will be undefined if it's the first index (0), so we should use 0 if it's undefined.
-                // See: https://github.com/firebase/firebase-js-sdk/issues/8566
-                const i = candidate.index || 0;
-                if (!aggregatedResponse.candidates) {
-                    aggregatedResponse.candidates = [];
-                }
-                if (!aggregatedResponse.candidates[i]) {
-                    aggregatedResponse.candidates[i] = {
-                        index: candidate.index
-                    };
-                }
-                // Keep overwriting, the last one will be final
-                aggregatedResponse.candidates[i].citationMetadata =
-                    candidate.citationMetadata;
-                aggregatedResponse.candidates[i].finishReason = candidate.finishReason;
-                aggregatedResponse.candidates[i].finishMessage =
-                    candidate.finishMessage;
-                aggregatedResponse.candidates[i].safetyRatings =
-                    candidate.safetyRatings;
-                aggregatedResponse.candidates[i].groundingMetadata =
-                    candidate.groundingMetadata;
-                // The urlContextMetadata object is defined in the first chunk of the response stream.
-                // In all subsequent chunks, the urlContextMetadata object will be undefined. We need to
-                // make sure that we don't overwrite the first value urlContextMetadata object with undefined.
-                // FIXME: What happens if we receive a second, valid urlContextMetadata object?
-                const urlContextMetadata = candidate.urlContextMetadata;
-                if (typeof urlContextMetadata === 'object' &&
-                    urlContextMetadata !== null &&
-                    Object.keys(urlContextMetadata).length > 0) {
-                    aggregatedResponse.candidates[i].urlContextMetadata =
-                        urlContextMetadata;
-                }
-                /**
-                 * Candidates should always have content and parts, but this handles
-                 * possible malformed responses.
-                 */
-                if (candidate.content) {
-                    // Skip a candidate without parts.
-                    if (!candidate.content.parts) {
-                        continue;
-                    }
-                    if (!aggregatedResponse.candidates[i].content) {
-                        aggregatedResponse.candidates[i].content = {
-                            role: candidate.content.role || 'user',
-                            parts: []
-                        };
-                    }
-                    for (const part of candidate.content.parts) {
-                        const newPart = { ...part };
-                        // The backend can send empty text parts. If these are sent back
-                        // (e.g. in chat history), the backend will respond with an error.
-                        // To prevent this, ignore empty text parts.
-                        if (part.text === '') {
-                            continue;
-                        }
-                        if (Object.keys(newPart).length > 0) {
-                            aggregatedResponse.candidates[i].content.parts.push(newPart);
-                        }
-                    }
-                }
-            }
-        }
-    }
-    return aggregatedResponse;
-}
-
-/**
- * @license
- * Copyright 2025 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.
- */
-const errorsCausingFallback = [
-    // most network errors
-    AIErrorCode.FETCH_ERROR,
-    // fallback code for all other errors in makeRequest
-    AIErrorCode.ERROR,
-    // error due to API not being enabled in project
-    AIErrorCode.API_NOT_ENABLED
-];
-/**
- * Dispatches a request to the appropriate backend (on-device or in-cloud)
- * based on the inference mode.
- *
- * @param request - The request to be sent.
- * @param chromeAdapter - The on-device model adapter.
- * @param onDeviceCall - The function to call for on-device inference.
- * @param inCloudCall - The function to call for in-cloud inference.
- * @returns The response from the backend.
- */
-async function callCloudOrDevice(request, chromeAdapter, onDeviceCall, inCloudCall) {
-    if (!chromeAdapter) {
-        return {
-            response: await inCloudCall(),
-            inferenceSource: InferenceSource.IN_CLOUD
-        };
-    }
-    switch (chromeAdapter.mode) {
-        case InferenceMode.ONLY_ON_DEVICE:
-            if (await chromeAdapter.isAvailable(request)) {
-                return {
-                    response: await onDeviceCall(),
-                    inferenceSource: InferenceSource.ON_DEVICE
-                };
-            }
-            throw new AIError(AIErrorCode.UNSUPPORTED, 'Inference mode is ONLY_ON_DEVICE, but an on-device model is not available.');
-        case InferenceMode.ONLY_IN_CLOUD:
-            return {
-                response: await inCloudCall(),
-                inferenceSource: InferenceSource.IN_CLOUD
-            };
-        case InferenceMode.PREFER_IN_CLOUD:
-            try {
-                return {
-                    response: await inCloudCall(),
-                    inferenceSource: InferenceSource.IN_CLOUD
-                };
-            }
-            catch (e) {
-                if (e instanceof AIError && errorsCausingFallback.includes(e.code)) {
-                    return {
-                        response: await onDeviceCall(),
-                        inferenceSource: InferenceSource.ON_DEVICE
-                    };
-                }
-                throw e;
-            }
-        case InferenceMode.PREFER_ON_DEVICE:
-            if (await chromeAdapter.isAvailable(request)) {
-                return {
-                    response: await onDeviceCall(),
-                    inferenceSource: InferenceSource.ON_DEVICE
-                };
-            }
-            return {
-                response: await inCloudCall(),
-                inferenceSource: InferenceSource.IN_CLOUD
-            };
-        default:
-            throw new AIError(AIErrorCode.ERROR, `Unexpected infererence mode: ${chromeAdapter.mode}`);
-    }
-}
-
-/**
- * @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.
- */
-async function generateContentStreamOnCloud(apiSettings, model, params, requestOptions) {
-    if (apiSettings.backend.backendType === BackendType.GOOGLE_AI) {
-        params = mapGenerateContentRequest(params);
-    }
-    return makeRequest(model, Task.STREAM_GENERATE_CONTENT, apiSettings, 
-    /* stream */ true, JSON.stringify(params), requestOptions);
-}
-async function generateContentStream(apiSettings, model, params, chromeAdapter, requestOptions) {
-    const callResult = await callCloudOrDevice(params, chromeAdapter, () => chromeAdapter.generateContentStream(params), () => generateContentStreamOnCloud(apiSettings, model, params, requestOptions));
-    return processStream(callResult.response, apiSettings); // TODO: Map streaming responses
-}
-async function generateContentOnCloud(apiSettings, model, params, requestOptions) {
-    if (apiSettings.backend.backendType === BackendType.GOOGLE_AI) {
-        params = mapGenerateContentRequest(params);
-    }
-    return makeRequest(model, Task.GENERATE_CONTENT, apiSettings, 
-    /* stream */ false, JSON.stringify(params), requestOptions);
-}
-async function generateContent(apiSettings, model, params, chromeAdapter, requestOptions) {
-    const callResult = await callCloudOrDevice(params, chromeAdapter, () => chromeAdapter.generateContent(params), () => generateContentOnCloud(apiSettings, model, params, requestOptions));
-    const generateContentResponse = await processGenerateContentResponse(callResult.response, apiSettings);
-    const enhancedResponse = createEnhancedContentResponse(generateContentResponse, callResult.inferenceSource);
-    return {
-        response: enhancedResponse
-    };
-}
-async function processGenerateContentResponse(response, apiSettings) {
-    const responseJson = await response.json();
-    if (apiSettings.backend.backendType === BackendType.GOOGLE_AI) {
-        return mapGenerateContentResponse(responseJson);
-    }
-    else {
-        return responseJson;
-    }
-}
-
-/**
- * @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.
- */
-function formatSystemInstruction(input) {
-    // null or undefined
-    if (input == null) {
-        return undefined;
-    }
-    else if (typeof input === 'string') {
-        return { role: 'system', parts: [{ text: input }] };
-    }
-    else if (input.text) {
-        return { role: 'system', parts: [input] };
-    }
-    else if (input.parts) {
-        if (!input.role) {
-            return { role: 'system', parts: input.parts };
-        }
-        else {
-            return input;
-        }
-    }
-}
-function formatNewContent(request) {
-    let newParts = [];
-    if (typeof request === 'string') {
-        newParts = [{ text: request }];
-    }
-    else {
-        for (const partOrString of request) {
-            if (typeof partOrString === 'string') {
-                newParts.push({ text: partOrString });
-            }
-            else {
-                newParts.push(partOrString);
-            }
-        }
-    }
-    return assignRoleToPartsAndValidateSendMessageRequest(newParts);
-}
-/**
- * When multiple Part types (i.e. FunctionResponsePart and TextPart) are
- * passed in a single Part array, we may need to assign different roles to each
- * part. Currently only FunctionResponsePart requires a role other than 'user'.
- * @private
- * @param parts Array of parts to pass to the model
- * @returns Array of content items
- */
-function assignRoleToPartsAndValidateSendMessageRequest(parts) {
-    const userContent = { role: 'user', parts: [] };
-    const functionContent = { role: 'function', parts: [] };
-    let hasUserContent = false;
-    let hasFunctionContent = false;
-    for (const part of parts) {
-        if ('functionResponse' in part) {
-            functionContent.parts.push(part);
-            hasFunctionContent = true;
-        }
-        else {
-            userContent.parts.push(part);
-            hasUserContent = true;
-        }
-    }
-    if (hasUserContent && hasFunctionContent) {
-        throw new AIError(AIErrorCode.INVALID_CONTENT, 'Within a single message, FunctionResponse cannot be mixed with other type of Part in the request for sending chat message.');
-    }
-    if (!hasUserContent && !hasFunctionContent) {
-        throw new AIError(AIErrorCode.INVALID_CONTENT, 'No Content is provided for sending chat message.');
-    }
-    if (hasUserContent) {
-        return userContent;
-    }
-    return functionContent;
-}
-function formatGenerateContentInput(params) {
-    let formattedRequest;
-    if (params.contents) {
-        formattedRequest = params;
-    }
-    else {
-        // Array or string
-        const content = formatNewContent(params);
-        formattedRequest = { contents: [content] };
-    }
-    if (params.systemInstruction) {
-        formattedRequest.systemInstruction = formatSystemInstruction(params.systemInstruction);
-    }
-    return formattedRequest;
-}
-/**
- * Convert the user-defined parameters in {@link ImagenGenerationParams} to the format
- * that is expected from the REST API.
- *
- * @internal
- */
-function createPredictRequestBody(prompt, { gcsURI, imageFormat, addWatermark, numberOfImages = 1, negativePrompt, aspectRatio, safetyFilterLevel, personFilterLevel }) {
-    // Properties that are undefined will be omitted from the JSON string that is sent in the request.
-    const body = {
-        instances: [
-            {
-                prompt
-            }
-        ],
-        parameters: {
-            storageUri: gcsURI,
-            negativePrompt,
-            sampleCount: numberOfImages,
-            aspectRatio,
-            outputOptions: imageFormat,
-            addWatermark,
-            safetyFilterLevel,
-            personGeneration: personFilterLevel,
-            includeRaiReason: true,
-            includeSafetyAttributes: true
-        }
-    };
-    return body;
-}
-
-/**
- * @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.
- */
-// https://ai.google.dev/api/rest/v1beta/Content#part
-const VALID_PART_FIELDS = [
-    'text',
-    'inlineData',
-    'functionCall',
-    'functionResponse',
-    'thought',
-    'thoughtSignature'
-];
-const VALID_PARTS_PER_ROLE = {
-    user: ['text', 'inlineData'],
-    function: ['functionResponse'],
-    model: ['text', 'functionCall', 'thought', 'thoughtSignature'],
-    // System instructions shouldn't be in history anyway.
-    system: ['text']
-};
-const VALID_PREVIOUS_CONTENT_ROLES = {
-    user: ['model'],
-    function: ['model'],
-    model: ['user', 'function'],
-    // System instructions shouldn't be in history.
-    system: []
-};
-function validateChatHistory(history) {
-    let prevContent = null;
-    for (const currContent of history) {
-        const { role, parts } = currContent;
-        if (!prevContent && role !== 'user') {
-            throw new AIError(AIErrorCode.INVALID_CONTENT, `First Content should be with role 'user', got ${role}`);
-        }
-        if (!POSSIBLE_ROLES.includes(role)) {
-            throw new AIError(AIErrorCode.INVALID_CONTENT, `Each item should include role field. Got ${role} but valid roles are: ${JSON.stringify(POSSIBLE_ROLES)}`);
-        }
-        if (!Array.isArray(parts)) {
-            throw new AIError(AIErrorCode.INVALID_CONTENT, `Content should have 'parts' property with an array of Parts`);
-        }
-        if (parts.length === 0) {
-            throw new AIError(AIErrorCode.INVALID_CONTENT, `Each Content should have at least one part`);
-        }
-        const countFields = {
-            text: 0,
-            inlineData: 0,
-            functionCall: 0,
-            functionResponse: 0,
-            thought: 0,
-            thoughtSignature: 0,
-            executableCode: 0,
-            codeExecutionResult: 0
-        };
-        for (const part of parts) {
-            for (const key of VALID_PART_FIELDS) {
-                if (key in part) {
-                    countFields[key] += 1;
-                }
-            }
-        }
-        const validParts = VALID_PARTS_PER_ROLE[role];
-        for (const key of VALID_PART_FIELDS) {
-            if (!validParts.includes(key) && countFields[key] > 0) {
-                throw new AIError(AIErrorCode.INVALID_CONTENT, `Content with role '${role}' can't contain '${key}' part`);
-            }
-        }
-        if (prevContent) {
-            const validPreviousContentRoles = VALID_PREVIOUS_CONTENT_ROLES[role];
-            if (!validPreviousContentRoles.includes(prevContent.role)) {
-                throw new AIError(AIErrorCode.INVALID_CONTENT, `Content with role '${role}' can't follow '${prevContent.role}'. Valid previous roles: ${JSON.stringify(VALID_PREVIOUS_CONTENT_ROLES)}`);
-            }
-        }
-        prevContent = currContent;
-    }
-}
-
-/**
- * @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.
- */
-/**
- * Do not log a message for this error.
- */
-const SILENT_ERROR = 'SILENT_ERROR';
-/**
- * ChatSession class that enables sending chat messages and stores
- * history of sent and received messages so far.
- *
- * @public
- */
-class ChatSession {
-    constructor(apiSettings, model, chromeAdapter, params, requestOptions) {
-        this.model = model;
-        this.chromeAdapter = chromeAdapter;
-        this.params = params;
-        this.requestOptions = requestOptions;
-        this._history = [];
-        this._sendPromise = Promise.resolve();
-        this._apiSettings = apiSettings;
-        if (params?.history) {
-            validateChatHistory(params.history);
-            this._history = params.history;
-        }
-    }
-    /**
-     * 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.
-     */
-    async getHistory() {
-        await this._sendPromise;
-        return this._history;
-    }
-    /**
-     * Sends a chat message and receives a non-streaming
-     * {@link GenerateContentResult}
-     */
-    async sendMessage(request) {
-        await this._sendPromise;
-        const newContent = formatNewContent(request);
-        const generateContentRequest = {
-            safetySettings: this.params?.safetySettings,
-            generationConfig: this.params?.generationConfig,
-            tools: this.params?.tools,
-            toolConfig: this.params?.toolConfig,
-            systemInstruction: this.params?.systemInstruction,
-            contents: [...this._history, newContent]
-        };
-        let finalResult = {};
-        // Add onto the chain.
-        this._sendPromise = this._sendPromise
-            .then(() => generateContent(this._apiSettings, this.model, generateContentRequest, this.chromeAdapter, this.requestOptions))
-            .then(result => {
-            if (result.response.candidates &&
-                result.response.candidates.length > 0) {
-                this._history.push(newContent);
-                const responseContent = {
-                    parts: result.response.candidates?.[0].content.parts || [],
-                    // Response seems to come back without a role set.
-                    role: result.response.candidates?.[0].content.role || 'model'
-                };
-                this._history.push(responseContent);
-            }
-            else {
-                const blockErrorMessage = formatBlockErrorMessage(result.response);
-                if (blockErrorMessage) {
-                    logger.warn(`sendMessage() was unsuccessful. ${blockErrorMessage}. Inspect response object for details.`);
-                }
-            }
-            finalResult = result;
-        });
-        await this._sendPromise;
-        return finalResult;
-    }
-    /**
-     * Sends a chat message and receives the response as a
-     * {@link GenerateContentStreamResult} containing an iterable stream
-     * and a response promise.
-     */
-    async sendMessageStream(request) {
-        await this._sendPromise;
-        const newContent = formatNewContent(request);
-        const generateContentRequest = {
-            safetySettings: this.params?.safetySettings,
-            generationConfig: this.params?.generationConfig,
-            tools: this.params?.tools,
-            toolConfig: this.params?.toolConfig,
-            systemInstruction: this.params?.systemInstruction,
-            contents: [...this._history, newContent]
-        };
-        const streamPromise = generateContentStream(this._apiSettings, this.model, generateContentRequest, this.chromeAdapter, this.requestOptions);
-        // Add onto the chain.
-        this._sendPromise = this._sendPromise
-            .then(() => streamPromise)
-            // This must be handled to avoid unhandled rejection, but jump
-            // to the final catch block with a label to not log this error.
-            .catch(_ignored => {
-            throw new Error(SILENT_ERROR);
-        })
-            .then(streamResult => streamResult.response)
-            .then(response => {
-            if (response.candidates && response.candidates.length > 0) {
-                this._history.push(newContent);
-                const responseContent = { ...response.candidates[0].content };
-                // Response seems to come back without a role set.
-                if (!responseContent.role) {
-                    responseContent.role = 'model';
-                }
-                this._history.push(responseContent);
-            }
-            else {
-                const blockErrorMessage = formatBlockErrorMessage(response);
-                if (blockErrorMessage) {
-                    logger.warn(`sendMessageStream() was unsuccessful. ${blockErrorMessage}. Inspect response object for details.`);
-                }
-            }
-        })
-            .catch(e => {
-            // Errors in streamPromise are already catchable by the user as
-            // streamPromise is returned.
-            // Avoid duplicating the error message in logs.
-            if (e.message !== SILENT_ERROR) {
-                // Users do not have access to _sendPromise to catch errors
-                // downstream from streamPromise, so they should not throw.
-                logger.error(e);
-            }
-        });
-        return streamPromise;
-    }
-}
-
-/**
- * @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.
- */
-async function countTokensOnCloud(apiSettings, model, params, requestOptions) {
-    let body = '';
-    if (apiSettings.backend.backendType === BackendType.GOOGLE_AI) {
-        const mappedParams = mapCountTokensRequest(params, model);
-        body = JSON.stringify(mappedParams);
-    }
-    else {
-        body = JSON.stringify(params);
-    }
-    const response = await makeRequest(model, Task.COUNT_TOKENS, apiSettings, false, body, requestOptions);
-    return response.json();
-}
-async function countTokens(apiSettings, model, params, chromeAdapter, requestOptions) {
-    if (chromeAdapter?.mode === InferenceMode.ONLY_ON_DEVICE) {
-        throw new AIError(AIErrorCode.UNSUPPORTED, 'countTokens() is not supported for on-device models.');
-    }
-    return countTokensOnCloud(apiSettings, model, params, requestOptions);
-}
-
-/**
- * @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.
- */
-/**
- * Class for generative model APIs.
- * @public
- */
-class GenerativeModel extends AIModel {
-    constructor(ai, modelParams, requestOptions, chromeAdapter) {
-        super(ai, modelParams.model);
-        this.chromeAdapter = chromeAdapter;
-        this.generationConfig = modelParams.generationConfig || {};
-        this.safetySettings = modelParams.safetySettings || [];
-        this.tools = modelParams.tools;
-        this.toolConfig = modelParams.toolConfig;
-        this.systemInstruction = formatSystemInstruction(modelParams.systemInstruction);
-        this.requestOptions = requestOptions || {};
-    }
-    /**
-     * Makes a single non-streaming call to the model
-     * and returns an object containing a single {@link GenerateContentResponse}.
-     */
-    async generateContent(request) {
-        const formattedParams = formatGenerateContentInput(request);
-        return generateContent(this._apiSettings, this.model, {
-            generationConfig: this.generationConfig,
-            safetySettings: this.safetySettings,
-            tools: this.tools,
-            toolConfig: this.toolConfig,
-            systemInstruction: this.systemInstruction,
-            ...formattedParams
-        }, this.chromeAdapter, this.requestOptions);
-    }
-    /**
-     * 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.
-     */
-    async generateContentStream(request) {
-        const formattedParams = formatGenerateContentInput(request);
-        return generateContentStream(this._apiSettings, this.model, {
-            generationConfig: this.generationConfig,
-            safetySettings: this.safetySettings,
-            tools: this.tools,
-            toolConfig: this.toolConfig,
-            systemInstruction: this.systemInstruction,
-            ...formattedParams
-        }, this.chromeAdapter, this.requestOptions);
-    }
-    /**
-     * Gets a new {@link ChatSession} instance which can be used for
-     * multi-turn chats.
-     */
-    startChat(startChatParams) {
-        return new ChatSession(this._apiSettings, this.model, this.chromeAdapter, {
-            tools: this.tools,
-            toolConfig: this.toolConfig,
-            systemInstruction: this.systemInstruction,
-            generationConfig: this.generationConfig,
-            safetySettings: this.safetySettings,
-            /**
-             * Overrides params inherited from GenerativeModel with those explicitly set in the
-             * StartChatParams. For example, if startChatParams.generationConfig is set, it'll override
-             * this.generationConfig.
-             */
-            ...startChatParams
-        }, this.requestOptions);
-    }
-    /**
-     * Counts the tokens in the provided request.
-     */
-    async countTokens(request) {
-        const formattedParams = formatGenerateContentInput(request);
-        return countTokens(this._apiSettings, this.model, formattedParams, this.chromeAdapter);
-    }
-}
-
-/**
- * @license
- * Copyright 2025 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.
- */
-/**
- * Represents an active, real-time, bidirectional conversation with the model.
- *
- * This class should only be instantiated by calling {@link LiveGenerativeModel.connect}.
- *
- * @beta
- */
-class LiveSession {
-    /**
-     * @internal
-     */
-    constructor(webSocketHandler, serverMessages) {
-        this.webSocketHandler = webSocketHandler;
-        this.serverMessages = serverMessages;
-        /**
-         * Indicates whether this Live session is closed.
-         *
-         * @beta
-         */
-        this.isClosed = false;
-        /**
-         * Indicates whether this Live session is being controlled by an `AudioConversationController`.
-         *
-         * @beta
-         */
-        this.inConversation = false;
-    }
-    /**
-     * Sends content to the server.
-     *
-     * @param request - The message to send to the model.
-     * @param turnComplete - Indicates if the turn is complete. Defaults to false.
-     * @throws If this session has been closed.
-     *
-     * @beta
-     */
-    async send(request, turnComplete = true) {
-        if (this.isClosed) {
-            throw new AIError(AIErrorCode.REQUEST_ERROR, 'This LiveSession has been closed and cannot be used.');
-        }
-        const newContent = formatNewContent(request);
-        const message = {
-            clientContent: {
-                turns: [newContent],
-                turnComplete
-            }
-        };
-        this.webSocketHandler.send(JSON.stringify(message));
-    }
-    /**
-     * Sends text to the server in realtime.
-     *
-     * @example
-     * ```javascript
-     * liveSession.sendTextRealtime("Hello, how are you?");
-     * ```
-     *
-     * @param text - The text data to send.
-     * @throws If this session has been closed.
-     *
-     * @beta
-     */
-    async sendTextRealtime(text) {
-        if (this.isClosed) {
-            throw new AIError(AIErrorCode.REQUEST_ERROR, 'This LiveSession has been closed and cannot be used.');
-        }
-        const message = {
-            realtimeInput: {
-                text
-            }
-        };
-        this.webSocketHandler.send(JSON.stringify(message));
-    }
-    /**
-     * Sends audio data to the server in realtime.
-     *
-     * @remarks The server requires that the audio data is base64-encoded 16-bit PCM at 16kHz
-     * little-endian.
-     *
-     * @example
-     * ```javascript
-     * // const pcmData = ... base64-encoded 16-bit PCM at 16kHz little-endian.
-     * const blob = { mimeType: "audio/pcm", data: pcmData };
-     * liveSession.sendAudioRealtime(blob);
-     * ```
-     *
-     * @param blob - The base64-encoded PCM data to send to the server in realtime.
-     * @throws If this session has been closed.
-     *
-     * @beta
-     */
-    async sendAudioRealtime(blob) {
-        if (this.isClosed) {
-            throw new AIError(AIErrorCode.REQUEST_ERROR, 'This LiveSession has been closed and cannot be used.');
-        }
-        const message = {
-            realtimeInput: {
-                audio: blob
-            }
-        };
-        this.webSocketHandler.send(JSON.stringify(message));
-    }
-    /**
-     * Sends video data to the server in realtime.
-     *
-     * @remarks The server requires that the video is sent as individual video frames at 1 FPS. It
-     * is recommended to set `mimeType` to `image/jpeg`.
-     *
-     * @example
-     * ```javascript
-     * // const videoFrame = ... base64-encoded JPEG data
-     * const blob = { mimeType: "image/jpeg", data: videoFrame };
-     * liveSession.sendVideoRealtime(blob);
-     * ```
-     * @param blob - The base64-encoded video data to send to the server in realtime.
-     * @throws If this session has been closed.
-     *
-     * @beta
-     */
-    async sendVideoRealtime(blob) {
-        if (this.isClosed) {
-            throw new AIError(AIErrorCode.REQUEST_ERROR, 'This LiveSession has been closed and cannot be used.');
-        }
-        const message = {
-            realtimeInput: {
-                video: blob
-            }
-        };
-        this.webSocketHandler.send(JSON.stringify(message));
-    }
-    /**
-     * Sends function responses to the server.
-     *
-     * @param functionResponses - The function responses to send.
-     * @throws If this session has been closed.
-     *
-     * @beta
-     */
-    async sendFunctionResponses(functionResponses) {
-        if (this.isClosed) {
-            throw new AIError(AIErrorCode.REQUEST_ERROR, 'This LiveSession has been closed and cannot be used.');
-        }
-        const message = {
-            toolResponse: {
-                functionResponses
-            }
-        };
-        this.webSocketHandler.send(JSON.stringify(message));
-    }
-    /**
-     * Yields messages received from the server.
-     * This can only be used by one consumer at a time.
-     *
-     * @returns An `AsyncGenerator` that yields server messages as they arrive.
-     * @throws If the session is already closed, or if we receive a response that we don't support.
-     *
-     * @beta
-     */
-    async *receive() {
-        if (this.isClosed) {
-            throw new AIError(AIErrorCode.SESSION_CLOSED, 'Cannot read from a Live session that is closed. Try starting a new Live session.');
-        }
-        for await (const message of this.serverMessages) {
-            if (message && typeof message === 'object') {
-                if (LiveResponseType.SERVER_CONTENT in message) {
-                    yield {
-                        type: 'serverContent',
-                        ...message
-                            .serverContent
-                    };
-                }
-                else if (LiveResponseType.TOOL_CALL in message) {
-                    yield {
-                        type: 'toolCall',
-                        ...message
-                            .toolCall
-                    };
-                }
-                else if (LiveResponseType.TOOL_CALL_CANCELLATION in message) {
-                    yield {
-                        type: 'toolCallCancellation',
-                        ...message.toolCallCancellation
-                    };
-                }
-                else {
-                    logger.warn(`Received an unknown message type from the server: ${JSON.stringify(message)}`);
-                }
-            }
-            else {
-                logger.warn(`Received an invalid message from the server: ${JSON.stringify(message)}`);
-            }
-        }
-    }
-    /**
-     * Closes this session.
-     * All methods on this session will throw an error once this resolves.
-     *
-     * @beta
-     */
-    async close() {
-        if (!this.isClosed) {
-            this.isClosed = true;
-            await this.webSocketHandler.close(1000, 'Client closed session.');
-        }
-    }
-    /**
-     * Sends realtime input to the server.
-     *
-     * @deprecated Use `sendTextRealtime()`, `sendAudioRealtime()`, and `sendVideoRealtime()` instead.
-     *
-     * @param mediaChunks - The media chunks to send.
-     * @throws If this session has been closed.
-     *
-     * @beta
-     */
-    async sendMediaChunks(mediaChunks) {
-        if (this.isClosed) {
-            throw new AIError(AIErrorCode.REQUEST_ERROR, 'This LiveSession has been closed and cannot be used.');
-        }
-        // The backend does not support sending more than one mediaChunk in one message.
-        // Work around this limitation by sending mediaChunks in separate messages.
-        mediaChunks.forEach(mediaChunk => {
-            const message = {
-                realtimeInput: { mediaChunks: [mediaChunk] }
-            };
-            this.webSocketHandler.send(JSON.stringify(message));
-        });
-    }
-    /**
-     * @deprecated Use `sendTextRealtime()`, `sendAudioRealtime()`, and `sendVideoRealtime()` instead.
-     *
-     * Sends a stream of {@link GenerativeContentBlob}.
-     *
-     * @param mediaChunkStream - The stream of {@link GenerativeContentBlob} to send.
-     * @throws If this session has been closed.
-     *
-     * @beta
-     */
-    async sendMediaStream(mediaChunkStream) {
-        if (this.isClosed) {
-            throw new AIError(AIErrorCode.REQUEST_ERROR, 'This LiveSession has been closed and cannot be used.');
-        }
-        const reader = mediaChunkStream.getReader();
-        while (true) {
-            try {
-                const { done, value } = await reader.read();
-                if (done) {
-                    break;
-                }
-                else if (!value) {
-                    throw new Error('Missing chunk in reader, but reader is not done.');
-                }
-                await this.sendMediaChunks([value]);
-            }
-            catch (e) {
-                // Re-throw any errors that occur during stream consumption or sending.
-                const message = e instanceof Error ? e.message : 'Error processing media stream.';
-                throw new AIError(AIErrorCode.REQUEST_ERROR, message);
-            }
-        }
-    }
-}
-
-/**
- * @license
- * Copyright 2025 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.
- */
-/**
- * Class for Live generative model APIs. The Live API enables low-latency, two-way multimodal
- * interactions with Gemini.
- *
- * This class should only be instantiated with {@link getLiveGenerativeModel}.
- *
- * @beta
- */
-class LiveGenerativeModel extends AIModel {
-    /**
-     * @internal
-     */
-    constructor(ai, modelParams, 
-    /**
-     * @internal
-     */
-    _webSocketHandler) {
-        super(ai, modelParams.model);
-        this._webSocketHandler = _webSocketHandler;
-        this.generationConfig = modelParams.generationConfig || {};
-        this.tools = modelParams.tools;
-        this.toolConfig = modelParams.toolConfig;
-        this.systemInstruction = formatSystemInstruction(modelParams.systemInstruction);
-    }
-    /**
-     * Starts a {@link LiveSession}.
-     *
-     * @returns A {@link LiveSession}.
-     * @throws If the connection failed to be established with the server.
-     *
-     * @beta
-     */
-    async connect() {
-        const url = new WebSocketUrl(this._apiSettings);
-        await this._webSocketHandler.connect(url.toString());
-        let fullModelPath;
-        if (this._apiSettings.backend.backendType === BackendType.GOOGLE_AI) {
-            fullModelPath = `projects/${this._apiSettings.project}/${this.model}`;
-        }
-        else {
-            fullModelPath = `projects/${this._apiSettings.project}/locations/${this._apiSettings.location}/${this.model}`;
-        }
-        // inputAudioTranscription and outputAudioTranscription are on the generation config in the public API,
-        // but the backend expects them to be in the `setup` message.
-        const { inputAudioTranscription, outputAudioTranscription, ...generationConfig } = this.generationConfig;
-        const setupMessage = {
-            setup: {
-                model: fullModelPath,
-                generationConfig,
-                tools: this.tools,
-                toolConfig: this.toolConfig,
-                systemInstruction: this.systemInstruction,
-                inputAudioTranscription,
-                outputAudioTranscription
-            }
-        };
-        try {
-            // Begin listening for server messages, and begin the handshake by sending the 'setupMessage'
-            const serverMessages = this._webSocketHandler.listen();
-            this._webSocketHandler.send(JSON.stringify(setupMessage));
-            // Verify we received the handshake response 'setupComplete'
-            const firstMessage = (await serverMessages.next()).value;
-            if (!firstMessage ||
-                !(typeof firstMessage === 'object') ||
-                !('setupComplete' in firstMessage)) {
-                await this._webSocketHandler.close(1011, 'Handshake failure');
-                throw new AIError(AIErrorCode.RESPONSE_ERROR, 'Server connection handshake failed. The server did not respond with a setupComplete message.');
-            }
-            return new LiveSession(this._webSocketHandler, serverMessages);
-        }
-        catch (e) {
-            // Ensure connection is closed on any setup error
-            await this._webSocketHandler.close();
-            throw e;
-        }
-    }
-}
-
-/**
- * @license
- * Copyright 2025 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.
- */
-/**
- * Class for Imagen model APIs.
- *
- * This class provides methods for generating images using the Imagen model.
- *
- * @example
- * ```javascript
- * const imagen = new ImagenModel(
- *   ai,
- *   {
- *     model: 'imagen-3.0-generate-002'
- *   }
- * );
- *
- * const response = await imagen.generateImages('A photo of a cat');
- * if (response.images.length > 0) {
- *   console.log(response.images[0].bytesBase64Encoded);
- * }
- * ```
- *
- * @public
- */
-class ImagenModel extends AIModel {
-    /**
-     * Constructs a new instance of the {@link ImagenModel} class.
-     *
-     * @param ai - an {@link AI} instance.
-     * @param modelParams - Parameters to use when making requests to Imagen.
-     * @param requestOptions - Additional options to use when making requests.
-     *
-     * @throws If the `apiKey` or `projectId` fields are missing in your
-     * Firebase config.
-     */
-    constructor(ai, modelParams, requestOptions) {
-        const { model, generationConfig, safetySettings } = modelParams;
-        super(ai, model);
-        this.requestOptions = requestOptions;
-        this.generationConfig = generationConfig;
-        this.safetySettings = safetySettings;
-    }
-    /**
-     * Generates images using the Imagen model and returns them as
-     * base64-encoded strings.
-     *
-     * @param prompt - A text prompt describing the image(s) to generate.
-     * @returns A promise that resolves to an {@link ImagenGenerationResponse}
-     * object containing the generated images.
-     *
-     * @throws If the request to generate images fails. This happens if the
-     * prompt is blocked.
-     *
-     * @remarks
-     * If the prompt was not blocked, but one or more of the generated images were filtered, the
-     * returned object will have a `filteredReason` property.
-     * If all images are filtered, the `images` array will be empty.
-     *
-     * @public
-     */
-    async generateImages(prompt) {
-        const body = createPredictRequestBody(prompt, {
-            ...this.generationConfig,
-            ...this.safetySettings
-        });
-        const response = await makeRequest(this.model, Task.PREDICT, this._apiSettings, 
-        /* stream */ false, JSON.stringify(body), this.requestOptions);
-        return handlePredictResponse(response);
-    }
-    /**
-     * Generates images to Cloud Storage for Firebase using the Imagen model.
-     *
-     * @internal This method is temporarily internal.
-     *
-     * @param prompt - A text prompt describing the image(s) to generate.
-     * @param gcsURI - The URI of file stored in a Cloud Storage for Firebase bucket.
-     * This should be a directory. For example, `gs://my-bucket/my-directory/`.
-     * @returns A promise that resolves to an {@link ImagenGenerationResponse}
-     * object containing the URLs of the generated images.
-     *
-     * @throws If the request fails to generate images fails. This happens if
-     * the prompt is blocked.
-     *
-     * @remarks
-     * If the prompt was not blocked, but one or more of the generated images were filtered, the
-     * returned object will have a `filteredReason` property.
-     * If all images are filtered, the `images` array will be empty.
-     */
-    async generateImagesGCS(prompt, gcsURI) {
-        const body = createPredictRequestBody(prompt, {
-            gcsURI,
-            ...this.generationConfig,
-            ...this.safetySettings
-        });
-        const response = await makeRequest(this.model, Task.PREDICT, this._apiSettings, 
-        /* stream */ false, JSON.stringify(body), this.requestOptions);
-        return handlePredictResponse(response);
-    }
-}
-
-/**
- * @license
- * Copyright 2025 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.
- */
-/**
- * A wrapper for the native `WebSocket` available in both Browsers and Node >= 22.
- *
- * @internal
- */
-class WebSocketHandlerImpl {
-    constructor() {
-        if (typeof WebSocket === 'undefined') {
-            throw new AIError(AIErrorCode.UNSUPPORTED, 'The WebSocket API is not available in this environment. ' +
-                'The "Live" feature is not supported here. It is supported in ' +
-                'modern browser windows, Web Workers with WebSocket support, and Node >= 22.');
-        }
-    }
-    connect(url) {
-        return new Promise((resolve, reject) => {
-            this.ws = new WebSocket(url);
-            this.ws.binaryType = 'blob'; // Only important to set in Node
-            this.ws.addEventListener('open', () => resolve(), { once: true });
-            this.ws.addEventListener('error', () => reject(new AIError(AIErrorCode.FETCH_ERROR, `Error event raised on WebSocket`)), { once: true });
-            this.ws.addEventListener('close', (closeEvent) => {
-                if (closeEvent.reason) {
-                    logger.warn(`WebSocket connection closed by server. Reason: '${closeEvent.reason}'`);
-                }
-            });
-        });
-    }
-    send(data) {
-        if (!this.ws || this.ws.readyState !== WebSocket.OPEN) {
-            throw new AIError(AIErrorCode.REQUEST_ERROR, 'WebSocket is not open.');
-        }
-        this.ws.send(data);
-    }
-    async *listen() {
-        if (!this.ws) {
-            throw new AIError(AIErrorCode.REQUEST_ERROR, 'WebSocket is not connected.');
-        }
-        const messageQueue = [];
-        const errorQueue = [];
-        let resolvePromise = null;
-        let isClosed = false;
-        const messageListener = async (event) => {
-            let data;
-            if (event.data instanceof Blob) {
-                data = await event.data.text();
-            }
-            else if (typeof event.data === 'string') {
-                data = event.data;
-            }
-            else {
-                errorQueue.push(new AIError(AIErrorCode.PARSE_FAILED, `Failed to parse WebSocket response. Expected data to be a Blob or string, but was ${typeof event.data}.`));
-                if (resolvePromise) {
-                    resolvePromise();
-                    resolvePromise = null;
-                }
-                return;
-            }
-            try {
-                const obj = JSON.parse(data);
-                messageQueue.push(obj);
-            }
-            catch (e) {
-                const err = e;
-                errorQueue.push(new AIError(AIErrorCode.PARSE_FAILED, `Error parsing WebSocket message to JSON: ${err.message}`));
-            }
-            if (resolvePromise) {
-                resolvePromise();
-                resolvePromise = null;
-            }
-        };
-        const errorListener = () => {
-            errorQueue.push(new AIError(AIErrorCode.FETCH_ERROR, 'WebSocket connection error.'));
-            if (resolvePromise) {
-                resolvePromise();
-                resolvePromise = null;
-            }
-        };
-        const closeListener = (event) => {
-            if (event.reason) {
-                logger.warn(`WebSocket connection closed by the server with reason: ${event.reason}`);
-            }
-            isClosed = true;
-            if (resolvePromise) {
-                resolvePromise();
-                resolvePromise = null;
-            }
-            // Clean up listeners to prevent memory leaks
-            this.ws?.removeEventListener('message', messageListener);
-            this.ws?.removeEventListener('close', closeListener);
-            this.ws?.removeEventListener('error', errorListener);
-        };
-        this.ws.addEventListener('message', messageListener);
-        this.ws.addEventListener('close', closeListener);
-        this.ws.addEventListener('error', errorListener);
-        while (!isClosed) {
-            if (errorQueue.length > 0) {
-                const error = errorQueue.shift();
-                throw error;
-            }
-            if (messageQueue.length > 0) {
-                yield messageQueue.shift();
-            }
-            else {
-                await new Promise(resolve => {
-                    resolvePromise = resolve;
-                });
-            }
-        }
-        // If the loop terminated because isClosed is true, check for any final errors
-        if (errorQueue.length > 0) {
-            const error = errorQueue.shift();
-            throw error;
-        }
-    }
-    close(code, reason) {
-        return new Promise(resolve => {
-            if (!this.ws) {
-                return resolve();
-            }
-            this.ws.addEventListener('close', () => resolve(), { once: true });
-            // Calling 'close' during these states results in an error.
-            if (this.ws.readyState === WebSocket.CLOSED ||
-                this.ws.readyState === WebSocket.CONNECTING) {
-                return resolve();
-            }
-            if (this.ws.readyState !== WebSocket.CLOSING) {
-                this.ws.close(code, reason);
-            }
-        });
-    }
-}
-
-/**
- * @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.
- */
-/**
- * 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
- */
-class Schema {
-    constructor(schemaParams) {
-        // TODO(dlarocque): Enforce this with union types
-        if (!schemaParams.type && !schemaParams.anyOf) {
-            throw new AIError(AIErrorCode.INVALID_SCHEMA, "A schema must have either a 'type' or an 'anyOf' array of sub-schemas.");
-        }
-        // eslint-disable-next-line guard-for-in
-        for (const paramKey in schemaParams) {
-            this[paramKey] = schemaParams[paramKey];
-        }
-        // Ensure these are explicitly set to avoid TS errors.
-        this.type = schemaParams.type;
-        this.format = schemaParams.hasOwnProperty('format')
-            ? schemaParams.format
-            : undefined;
-        this.nullable = schemaParams.hasOwnProperty('nullable')
-            ? !!schemaParams.nullable
-            : false;
-    }
-    /**
-     * Defines how this Schema should be serialized as JSON.
-     * See https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/JSON/stringify#tojson_behavior
-     * @internal
-     */
-    toJSON() {
-        const obj = {
-            type: this.type
-        };
-        for (const prop in this) {
-            if (this.hasOwnProperty(prop) && this[prop] !== undefined) {
-                if (prop !== 'required' || this.type === SchemaType.OBJECT) {
-                    obj[prop] = this[prop];
-                }
-            }
-        }
-        return obj;
-    }
-    static array(arrayParams) {
-        return new ArraySchema(arrayParams, arrayParams.items);
-    }
-    static object(objectParams) {
-        return new ObjectSchema(objectParams, objectParams.properties, objectParams.optionalProperties);
-    }
-    // eslint-disable-next-line id-blacklist
-    static string(stringParams) {
-        return new StringSchema(stringParams);
-    }
-    static enumString(stringParams) {
-        return new StringSchema(stringParams, stringParams.enum);
-    }
-    static integer(integerParams) {
-        return new IntegerSchema(integerParams);
-    }
-    // eslint-disable-next-line id-blacklist
-    static number(numberParams) {
-        return new NumberSchema(numberParams);
-    }
-    // eslint-disable-next-line id-blacklist
-    static boolean(booleanParams) {
-        return new BooleanSchema(booleanParams);
-    }
-    static anyOf(anyOfParams) {
-        return new AnyOfSchema(anyOfParams);
-    }
-}
-/**
- * Schema class for "integer" types.
- * @public
- */
-class IntegerSchema extends Schema {
-    constructor(schemaParams) {
-        super({
-            type: SchemaType.INTEGER,
-            ...schemaParams
-        });
-    }
-}
-/**
- * Schema class for "number" types.
- * @public
- */
-class NumberSchema extends Schema {
-    constructor(schemaParams) {
-        super({
-            type: SchemaType.NUMBER,
-            ...schemaParams
-        });
-    }
-}
-/**
- * Schema class for "boolean" types.
- * @public
- */
-class BooleanSchema extends Schema {
-    constructor(schemaParams) {
-        super({
-            type: SchemaType.BOOLEAN,
-            ...schemaParams
-        });
-    }
-}
-/**
- * Schema class for "string" types. Can be used with or without
- * enum values.
- * @public
- */
-class StringSchema extends Schema {
-    constructor(schemaParams, enumValues) {
-        super({
-            type: SchemaType.STRING,
-            ...schemaParams
-        });
-        this.enum = enumValues;
-    }
-    /**
-     * @internal
-     */
-    toJSON() {
-        const obj = super.toJSON();
-        if (this.enum) {
-            obj['enum'] = this.enum;
-        }
-        return obj;
-    }
-}
-/**
- * Schema class for "array" types.
- * The `items` param should refer to the type of item that can be a member
- * of the array.
- * @public
- */
-class ArraySchema extends Schema {
-    constructor(schemaParams, items) {
-        super({
-            type: SchemaType.ARRAY,
-            ...schemaParams
-        });
-        this.items = items;
-    }
-    /**
-     * @internal
-     */
-    toJSON() {
-        const obj = super.toJSON();
-        obj.items = this.items.toJSON();
-        return obj;
-    }
-}
-/**
- * Schema class for "object" types.
- * The `properties` param must be a map of `Schema` objects.
- * @public
- */
-class ObjectSchema extends Schema {
-    constructor(schemaParams, properties, optionalProperties = []) {
-        super({
-            type: SchemaType.OBJECT,
-            ...schemaParams
-        });
-        this.properties = properties;
-        this.optionalProperties = optionalProperties;
-    }
-    /**
-     * @internal
-     */
-    toJSON() {
-        const obj = super.toJSON();
-        obj.properties = { ...this.properties };
-        const required = [];
-        if (this.optionalProperties) {
-            for (const propertyKey of this.optionalProperties) {
-                if (!this.properties.hasOwnProperty(propertyKey)) {
-                    throw new AIError(AIErrorCode.INVALID_SCHEMA, `Property "${propertyKey}" specified in "optionalProperties" does not exist.`);
-                }
-            }
-        }
-        for (const propertyKey in this.properties) {
-            if (this.properties.hasOwnProperty(propertyKey)) {
-                obj.properties[propertyKey] = this.properties[propertyKey].toJSON();
-                if (!this.optionalProperties.includes(propertyKey)) {
-                    required.push(propertyKey);
-                }
-            }
-        }
-        if (required.length > 0) {
-            obj.required = required;
-        }
-        delete obj.optionalProperties;
-        return obj;
-    }
-}
-/**
- * Schema class representing a value that can conform to any of the provided sub-schemas. This is
- * useful when a field can accept multiple distinct types or structures.
- * @public
- */
-class AnyOfSchema extends Schema {
-    constructor(schemaParams) {
-        if (schemaParams.anyOf.length === 0) {
-            throw new AIError(AIErrorCode.INVALID_SCHEMA, "The 'anyOf' array must not be empty.");
-        }
-        super({
-            ...schemaParams,
-            type: undefined // anyOf schemas do not have an explicit type
-        });
-        this.anyOf = schemaParams.anyOf;
-    }
-    /**
-     * @internal
-     */
-    toJSON() {
-        const obj = super.toJSON();
-        // Ensure the 'anyOf' property contains serialized SchemaRequest objects.
-        if (this.anyOf && Array.isArray(this.anyOf)) {
-            obj.anyOf = this.anyOf.map(s => s.toJSON());
-        }
-        return obj;
-    }
-}
-
-/**
- * @license
- * Copyright 2025 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.
- */
-/**
- * Defines the image format for images generated by Imagen.
- *
- * Use this class to specify the desired format (JPEG or PNG) and compression quality
- * for images generated by Imagen. This is typically included as part of
- * {@link ImagenModelParams}.
- *
- * @example
- * ```javascript
- * const imagenModelParams = {
- *   // ... other ImagenModelParams
- *   imageFormat: ImagenImageFormat.jpeg(75) // JPEG with a compression level of 75.
- * }
- * ```
- *
- * @public
- */
-class ImagenImageFormat {
-    constructor() {
-        this.mimeType = 'image/png';
-    }
-    /**
-     * Creates an {@link ImagenImageFormat} for a JPEG image.
-     *
-     * @param compressionQuality - The level of compression (a number between 0 and 100).
-     * @returns An {@link ImagenImageFormat} object for a JPEG image.
-     *
-     * @public
-     */
-    static jpeg(compressionQuality) {
-        if (compressionQuality &&
-            (compressionQuality < 0 || compressionQuality > 100)) {
-            logger.warn(`Invalid JPEG compression quality of ${compressionQuality} specified; the supported range is [0, 100].`);
-        }
-        return { mimeType: 'image/jpeg', compressionQuality };
-    }
-    /**
-     * Creates an {@link ImagenImageFormat} for a PNG image.
-     *
-     * @returns An {@link ImagenImageFormat} object for a PNG image.
-     *
-     * @public
-     */
-    static png() {
-        return { mimeType: 'image/png' };
-    }
-}
-
-/**
- * @license
- * Copyright 2025 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.
- */
-const SERVER_INPUT_SAMPLE_RATE = 16000;
-const SERVER_OUTPUT_SAMPLE_RATE = 24000;
-const AUDIO_PROCESSOR_NAME = 'audio-processor';
-/**
- * The JS for an `AudioWorkletProcessor`.
- * This processor is responsible for taking raw audio from the microphone,
- * converting it to the required 16-bit 16kHz PCM, and posting it back to the main thread.
- *
- * See: https://developer.mozilla.org/en-US/docs/Web/API/AudioWorkletProcessor
- *
- * It is defined as a string here so that it can be converted into a `Blob`
- * and loaded at runtime.
- */
-const audioProcessorWorkletString = `
-  class AudioProcessor extends AudioWorkletProcessor {
-    constructor(options) {
-      super();
-      this.targetSampleRate = options.processorOptions.targetSampleRate;
-      // 'sampleRate' is a global variable available inside the AudioWorkletGlobalScope,
-      // representing the native sample rate of the AudioContext.
-      this.inputSampleRate = sampleRate;
-    }
-
-    /**
-     * This method is called by the browser's audio engine for each block of audio data.
-     * Input is a single input, with a single channel (input[0][0]).
-     */
-    process(inputs) {
-      const input = inputs[0];
-      if (input && input.length > 0 && input[0].length > 0) {
-        const pcmData = input[0]; // Float32Array of raw audio samples.
-        
-        // Simple linear interpolation for resampling.
-        const resampled = new Float32Array(Math.round(pcmData.length * this.targetSampleRate / this.inputSampleRate));
-        const ratio = pcmData.length / resampled.length;
-        for (let i = 0; i < resampled.length; i++) {
-          resampled[i] = pcmData[Math.floor(i * ratio)];
-        }
-
-        // Convert Float32 (-1, 1) samples to Int16 (-32768, 32767)
-        const resampledInt16 = new Int16Array(resampled.length);
-        for (let i = 0; i < resampled.length; i++) {
-          const sample = Math.max(-1, Math.min(1, resampled[i]));
-          if (sample < 0) {
-            resampledInt16[i] = sample * 32768;
-          } else {
-            resampledInt16[i] = sample * 32767;
-          }
-        }
-        
-        this.port.postMessage(resampledInt16);
-      }
-      // Return true to keep the processor alive and processing the next audio block.
-      return true;
-    }
-  }
-
-  // Register the processor with a name that can be used to instantiate it from the main thread.
-  registerProcessor('${AUDIO_PROCESSOR_NAME}', AudioProcessor);
-`;
-/**
- * Encapsulates the core logic of an audio conversation.
- *
- * @internal
- */
-class AudioConversationRunner {
-    constructor(liveSession, options, deps) {
-        this.liveSession = liveSession;
-        this.options = options;
-        this.deps = deps;
-        /** A flag to indicate if the conversation has been stopped. */
-        this.isStopped = false;
-        /** A deferred that contains a promise that is resolved when stop() is called, to unblock the receive loop. */
-        this.stopDeferred = new Deferred();
-        /** A FIFO queue of 24kHz, 16-bit PCM audio chunks received from the server. */
-        this.playbackQueue = [];
-        /** Tracks scheduled audio sources. Used to cancel scheduled audio when the model is interrupted. */
-        this.scheduledSources = [];
-        /** A high-precision timeline pointer for scheduling gapless audio playback. */
-        this.nextStartTime = 0;
-        /** A mutex to prevent the playback processing loop from running multiple times concurrently. */
-        this.isPlaybackLoopRunning = false;
-        this.liveSession.inConversation = true;
-        // Start listening for messages from the server.
-        this.receiveLoopPromise = this.runReceiveLoop().finally(() => this.cleanup());
-        // Set up the handler for receiving processed audio data from the worklet.
-        // Message data has been resampled to 16kHz 16-bit PCM.
-        this.deps.workletNode.port.onmessage = event => {
-            if (this.isStopped) {
-                return;
-            }
-            const pcm16 = event.data;
-            const base64 = btoa(String.fromCharCode.apply(null, Array.from(new Uint8Array(pcm16.buffer))));
-            const chunk = {
-                mimeType: 'audio/pcm',
-                data: base64
-            };
-            void this.liveSession.sendAudioRealtime(chunk);
-        };
-    }
-    /**
-     * Stops the conversation and unblocks the main receive loop.
-     */
-    async stop() {
-        if (this.isStopped) {
-            return;
-        }
-        this.isStopped = true;
-        this.stopDeferred.resolve(); // Unblock the receive loop
-        await this.receiveLoopPromise; // Wait for the loop and cleanup to finish
-    }
-    /**
-     * Cleans up all audio resources (nodes, stream tracks, context) and marks the
-     * session as no longer in a conversation.
-     */
-    cleanup() {
-        this.interruptPlayback(); // Ensure all audio is stopped on final cleanup.
-        this.deps.workletNode.port.onmessage = null;
-        this.deps.workletNode.disconnect();
-        this.deps.sourceNode.disconnect();
-        this.deps.mediaStream.getTracks().forEach(track => track.stop());
-        if (this.deps.audioContext.state !== 'closed') {
-            void this.deps.audioContext.close();
-        }
-        this.liveSession.inConversation = false;
-    }
-    /**
-     * Adds audio data to the queue and ensures the playback loop is running.
-     */
-    enqueueAndPlay(audioData) {
-        this.playbackQueue.push(audioData);
-        // Will no-op if it's already running.
-        void this.processPlaybackQueue();
-    }
-    /**
-     * Stops all current and pending audio playback and clears the queue. This is
-     * called when the server indicates the model's speech was interrupted with
-     * `LiveServerContent.modelTurn.interrupted`.
-     */
-    interruptPlayback() {
-        // Stop all sources that have been scheduled. The onended event will fire for each,
-        // which will clean up the scheduledSources array.
-        [...this.scheduledSources].forEach(source => source.stop(0));
-        // Clear the internal buffer of unprocessed audio chunks.
-        this.playbackQueue.length = 0;
-        // Reset the playback clock to start fresh.
-        this.nextStartTime = this.deps.audioContext.currentTime;
-    }
-    /**
-     * Processes the playback queue in a loop, scheduling each chunk in a gapless sequence.
-     */
-    async processPlaybackQueue() {
-        if (this.isPlaybackLoopRunning) {
-            return;
-        }
-        this.isPlaybackLoopRunning = true;
-        while (this.playbackQueue.length > 0 && !this.isStopped) {
-            const pcmRawBuffer = this.playbackQueue.shift();
-            try {
-                const pcm16 = new Int16Array(pcmRawBuffer);
-                const frameCount = pcm16.length;
-                const audioBuffer = this.deps.audioContext.createBuffer(1, frameCount, SERVER_OUTPUT_SAMPLE_RATE);
-                // Convert 16-bit PCM to 32-bit PCM, required by the Web Audio API.
-                const channelData = audioBuffer.getChannelData(0);
-                for (let i = 0; i < frameCount; i++) {
-                    channelData[i] = pcm16[i] / 32768; // Normalize to Float32 range [-1.0, 1.0]
-                }
-                const source = this.deps.audioContext.createBufferSource();
-                source.buffer = audioBuffer;
-                source.connect(this.deps.audioContext.destination);
-                // Track the source and set up a handler to remove it from tracking when it finishes.
-                this.scheduledSources.push(source);
-                source.onended = () => {
-                    this.scheduledSources = this.scheduledSources.filter(s => s !== source);
-                };
-                // To prevent gaps, schedule the next chunk to start either now (if we're catching up)
-                // or exactly when the previous chunk is scheduled to end.
-                this.nextStartTime = Math.max(this.deps.audioContext.currentTime, this.nextStartTime);
-                source.start(this.nextStartTime);
-                // Update the schedule for the *next* chunk.
-                this.nextStartTime += audioBuffer.duration;
-            }
-            catch (e) {
-                logger.error('Error playing audio:', e);
-            }
-        }
-        this.isPlaybackLoopRunning = false;
-    }
-    /**
-     * The main loop that listens for and processes messages from the server.
-     */
-    async runReceiveLoop() {
-        const messageGenerator = this.liveSession.receive();
-        while (!this.isStopped) {
-            const result = await Promise.race([
-                messageGenerator.next(),
-                this.stopDeferred.promise
-            ]);
-            if (this.isStopped || !result || result.done) {
-                break;
-            }
-            const message = result.value;
-            if (message.type === 'serverContent') {
-                const serverContent = message;
-                if (serverContent.interrupted) {
-                    this.interruptPlayback();
-                }
-                const audioPart = serverContent.modelTurn?.parts.find(part => part.inlineData?.mimeType.startsWith('audio/'));
-                if (audioPart?.inlineData) {
-                    const audioData = Uint8Array.from(atob(audioPart.inlineData.data), c => c.charCodeAt(0)).buffer;
-                    this.enqueueAndPlay(audioData);
-                }
-            }
-            else if (message.type === 'toolCall') {
-                if (!this.options.functionCallingHandler) {
-                    logger.warn('Received tool call message, but StartAudioConversationOptions.functionCallingHandler is undefined. Ignoring tool call.');
-                }
-                else {
-                    try {
-                        const functionResponse = await this.options.functionCallingHandler(message.functionCalls);
-                        if (!this.isStopped) {
-                            void this.liveSession.sendFunctionResponses([functionResponse]);
-                        }
-                    }
-                    catch (e) {
-                        throw new AIError(AIErrorCode.ERROR, `Function calling handler failed: ${e.message}`);
-                    }
-                }
-            }
-        }
-    }
-}
-/**
- * Starts a real-time, bidirectional audio conversation with the model. This helper function manages
- * the complexities of microphone access, audio recording, playback, and interruptions.
- *
- * @remarks Important: This function must be called in response to a user gesture
- * (for example, a button click) to comply with {@link https://developer.mozilla.org/en-US/docs/Web/API/Web_Audio_API/Best_practices#autoplay_policy | browser autoplay policies}.
- *
- * @example
- * ```javascript
- * const liveSession = await model.connect();
- * let conversationController;
- *
- * // This function must be called from within a click handler.
- * async function startConversation() {
- *   try {
- *     conversationController = await startAudioConversation(liveSession);
- *   } catch (e) {
- *     // Handle AI-specific errors
- *     if (e instanceof AIError) {
- *       console.error("AI Error:", e.message);
- *     }
- *     // Handle microphone permission and hardware errors
- *     else if (e instanceof DOMException) {
- *       console.error("Microphone Error:", e.message);
- *     }
- *     // Handle other unexpected errors
- *     else {
- *       console.error("An unexpected error occurred:", e);
- *     }
- *   }
- * }
- *
- * // Later, to stop the conversation:
- * // if (conversationController) {
- * //   await conversationController.stop();
- * // }
- * ```
- *
- * @param liveSession - An active {@link LiveSession} instance.
- * @param options - Configuration options for the audio conversation.
- * @returns A `Promise` that resolves with an {@link AudioConversationController}.
- * @throws `AIError` if the environment does not support required Web APIs (`UNSUPPORTED`), if a conversation is already active (`REQUEST_ERROR`), the session is closed (`SESSION_CLOSED`), or if an unexpected initialization error occurs (`ERROR`).
- * @throws `DOMException` Thrown by `navigator.mediaDevices.getUserMedia()` if issues occur with microphone access, such as permissions being denied (`NotAllowedError`) or no compatible hardware being found (`NotFoundError`). See the {@link https://developer.mozilla.org/en-US/docs/Web/API/MediaDevices/getUserMedia#exceptions | MDN documentation} for a full list of exceptions.
- *
- * @beta
- */
-async function startAudioConversation(liveSession, options = {}) {
-    if (liveSession.isClosed) {
-        throw new AIError(AIErrorCode.SESSION_CLOSED, 'Cannot start audio conversation on a closed LiveSession.');
-    }
-    if (liveSession.inConversation) {
-        throw new AIError(AIErrorCode.REQUEST_ERROR, 'An audio conversation is already in progress for this session.');
-    }
-    // Check for necessary Web API support.
-    if (typeof AudioWorkletNode === 'undefined' ||
-        typeof AudioContext === 'undefined' ||
-        typeof navigator === 'undefined' ||
-        !navigator.mediaDevices) {
-        throw new AIError(AIErrorCode.UNSUPPORTED, 'Audio conversation is not supported in this environment. It requires the Web Audio API and AudioWorklet support.');
-    }
-    let audioContext;
-    try {
-        // 1. Set up the audio context. This must be in response to a user gesture.
-        // See: https://developer.mozilla.org/en-US/docs/Web/API/Web_Audio_API/Best_practices#autoplay_policy
-        audioContext = new AudioContext();
-        if (audioContext.state === 'suspended') {
-            await audioContext.resume();
-        }
-        // 2. Prompt for microphone access and get the media stream.
-        // This can throw a variety of permission or hardware-related errors.
-        const mediaStream = await navigator.mediaDevices.getUserMedia({
-            audio: true
-        });
-        // 3. Load the AudioWorklet processor.
-        // See: https://developer.mozilla.org/en-US/docs/Web/API/AudioWorklet
-        const workletBlob = new Blob([audioProcessorWorkletString], {
-            type: 'application/javascript'
-        });
-        const workletURL = URL.createObjectURL(workletBlob);
-        await audioContext.audioWorklet.addModule(workletURL);
-        // 4. Create the audio graph: Microphone -> Source Node -> Worklet Node
-        const sourceNode = audioContext.createMediaStreamSource(mediaStream);
-        const workletNode = new AudioWorkletNode(audioContext, AUDIO_PROCESSOR_NAME, {
-            processorOptions: { targetSampleRate: SERVER_INPUT_SAMPLE_RATE }
-        });
-        sourceNode.connect(workletNode);
-        // 5. Instantiate and return the runner which manages the conversation.
-        const runner = new AudioConversationRunner(liveSession, options, {
-            audioContext,
-            mediaStream,
-            sourceNode,
-            workletNode
-        });
-        return { stop: () => runner.stop() };
-    }
-    catch (e) {
-        // Ensure the audio context is closed on any setup error.
-        if (audioContext && audioContext.state !== 'closed') {
-            void audioContext.close();
-        }
-        // Re-throw specific, known error types directly. The user may want to handle `DOMException`
-        // errors differently (for example, if permission to access audio device was denied).
-        if (e instanceof AIError || e instanceof DOMException) {
-            throw e;
-        }
-        // Wrap any other unexpected errors in a standard AIError.
-        throw new AIError(AIErrorCode.ERROR, `Failed to initialize audio recording: ${e.message}`);
-    }
-}
-
-/**
- * @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.
- */
-/**
- * Returns the default {@link AI} instance that is associated with the provided
- * {@link @firebase/app#FirebaseApp}. If no instance exists, initializes a new instance with the
- * default settings.
- *
- * @example
- * ```javascript
- * const ai = getAI(app);
- * ```
- *
- * @example
- * ```javascript
- * // Get an AI instance configured to use the Gemini Developer API (via Google AI).
- * const ai = getAI(app, { backend: new GoogleAIBackend() });
- * ```
- *
- * @example
- * ```javascript
- * // Get an AI instance configured to use the Vertex AI Gemini API.
- * const ai = getAI(app, { backend: new VertexAIBackend() });
- * ```
- *
- * @param app - The {@link @firebase/app#FirebaseApp} to use.
- * @param options - {@link AIOptions} that configure the AI instance.
- * @returns The default {@link AI} instance for the given {@link @firebase/app#FirebaseApp}.
- *
- * @public
- */
-function getAI(app = getApp(), options) {
-    app = getModularInstance(app);
-    // Dependencies
-    const AIProvider = _getProvider(app, AI_TYPE);
-    const backend = options?.backend ?? new GoogleAIBackend();
-    const finalOptions = {
-        useLimitedUseAppCheckTokens: options?.useLimitedUseAppCheckTokens ?? false
-    };
-    const identifier = encodeInstanceIdentifier(backend);
-    const aiInstance = AIProvider.getImmediate({
-        identifier
-    });
-    aiInstance.options = finalOptions;
-    return aiInstance;
-}
-/**
- * Returns a {@link GenerativeModel} class with methods for inference
- * and other functionality.
- *
- * @public
- */
-function getGenerativeModel(ai, modelParams, requestOptions) {
-    // Uses the existence of HybridParams.mode to clarify the type of the modelParams input.
-    const hybridParams = modelParams;
-    let inCloudParams;
-    if (hybridParams.mode) {
-        inCloudParams = hybridParams.inCloudParams || {
-            model: DEFAULT_HYBRID_IN_CLOUD_MODEL
-        };
-    }
-    else {
-        inCloudParams = modelParams;
-    }
-    if (!inCloudParams.model) {
-        throw new AIError(AIErrorCode.NO_MODEL, `Must provide a model name. Example: getGenerativeModel({ model: 'my-model-name' })`);
-    }
-    /**
-     * An AIService registered by index.node.ts will not have a
-     * chromeAdapterFactory() method.
-     */
-    const chromeAdapter = ai.chromeAdapterFactory?.(hybridParams.mode, typeof window === 'undefined' ? undefined : window, hybridParams.onDeviceParams);
-    return new GenerativeModel(ai, inCloudParams, requestOptions, chromeAdapter);
-}
-/**
- * Returns an {@link ImagenModel} class with methods for using Imagen.
- *
- * Only Imagen 3 models (named `imagen-3.0-*`) are supported.
- *
- * @param ai - An {@link AI} instance.
- * @param modelParams - Parameters to use when making Imagen requests.
- * @param requestOptions - Additional options to use when making requests.
- *
- * @throws If the `apiKey` or `projectId` fields are missing in your
- * Firebase config.
- *
- * @public
- */
-function getImagenModel(ai, modelParams, requestOptions) {
-    if (!modelParams.model) {
-        throw new AIError(AIErrorCode.NO_MODEL, `Must provide a model name. Example: getImagenModel({ model: 'my-model-name' })`);
-    }
-    return new ImagenModel(ai, modelParams, requestOptions);
-}
-/**
- * Returns a {@link LiveGenerativeModel} class for real-time, bidirectional communication.
- *
- * The Live API is only supported in modern browser windows and Node >= 22.
- *
- * @param ai - An {@link AI} instance.
- * @param modelParams - Parameters to use when setting up a {@link LiveSession}.
- * @throws If the `apiKey` or `projectId` fields are missing in your
- * Firebase config.
- *
- * @beta
- */
-function getLiveGenerativeModel(ai, modelParams) {
-    if (!modelParams.model) {
-        throw new AIError(AIErrorCode.NO_MODEL, `Must provide a model name for getLiveGenerativeModel. Example: getLiveGenerativeModel(ai, { model: 'my-model-name' })`);
-    }
-    const webSocketHandler = new WebSocketHandlerImpl();
-    return new LiveGenerativeModel(ai, modelParams, webSocketHandler);
-}
-
-/**
- * The Firebase AI Web SDK.
- *
- * @packageDocumentation
- */
-function registerAI() {
-    _registerComponent(new Component(AI_TYPE, (container, { instanceIdentifier }) => {
-        if (!instanceIdentifier) {
-            throw new AIError(AIErrorCode.ERROR, 'AIService instance identifier is undefined.');
-        }
-        const backend = decodeInstanceIdentifier(instanceIdentifier);
-        // getImmediate for FirebaseApp will always succeed
-        const app = container.getProvider('app').getImmediate();
-        const auth = container.getProvider('auth-internal');
-        const appCheckProvider = container.getProvider('app-check-internal');
-        return new AIService(app, backend, auth, appCheckProvider);
-    }, "PUBLIC" /* ComponentType.PUBLIC */).setMultipleInstances(true));
-    registerVersion(name, version, 'node');
-    // BUILD_TARGET will be replaced by values like esm, cjs, etc during the compilation
-    registerVersion(name, version, 'esm2020');
-}
-registerAI();
-
-export { AIError, AIErrorCode, AIModel, AnyOfSchema, ArraySchema, Backend, BackendType, BlockReason, BooleanSchema, ChatSession, FinishReason, FunctionCallingMode, GenerativeModel, GoogleAIBackend, HarmBlockMethod, HarmBlockThreshold, HarmCategory, HarmProbability, HarmSeverity, ImagenAspectRatio, ImagenImageFormat, ImagenModel, ImagenPersonFilterLevel, ImagenSafetyFilterLevel, InferenceMode, InferenceSource, IntegerSchema, Language, LiveGenerativeModel, LiveResponseType, LiveSession, Modality, NumberSchema, ObjectSchema, Outcome, POSSIBLE_ROLES, ResponseModality, Schema, SchemaType, StringSchema, URLRetrievalStatus, VertexAIBackend, getAI, getGenerativeModel, getImagenModel, getLiveGenerativeModel, startAudioConversation };
-//# sourceMappingURL=index.node.mjs.map