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+'use strict';
+
+Object.defineProperty(exports, '__esModule', { value: true });
+
+var app = require('@firebase/app');
+var component = require('@firebase/component');
+var util = require('@firebase/util');
+var logger$1 = require('@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 util.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 (app._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$1.Logger('@firebase/vertexai');
+
+/**
+ * @license
+ * Copyright 2024 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+var Task;
+(function (Task) {
+    Task["GENERATE_CONTENT"] = "generateContent";
+    Task["STREAM_GENERATE_CONTENT"] = "streamGenerateContent";
+    Task["COUNT_TOKENS"] = "countTokens";
+    Task["PREDICT"] = "predict";
+})(Task || (Task = {}));
+class RequestUrl {
+    constructor(model, task, apiSettings, stream, requestOptions) {
+        this.model = model;
+        this.task = task;
+        this.apiSettings = apiSettings;
+        this.stream = stream;
+        this.requestOptions = requestOptions;
+    }
+    toString() {
+        const url = new URL(this.baseUrl); // Throws if the URL is invalid
+        url.pathname = `/${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 util.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$1 = app.getApp(), options) {
+    app$1 = util.getModularInstance(app$1);
+    // Dependencies
+    const AIProvider = app._getProvider(app$1, 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() {
+    app._registerComponent(new component.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));
+    app.registerVersion(name, version, 'node');
+    // BUILD_TARGET will be replaced by values like esm, cjs, etc during the compilation
+    app.registerVersion(name, version, 'cjs2020');
+}
+registerAI();
+
+exports.AIError = AIError;
+exports.AIErrorCode = AIErrorCode;
+exports.AIModel = AIModel;
+exports.AnyOfSchema = AnyOfSchema;
+exports.ArraySchema = ArraySchema;
+exports.Backend = Backend;
+exports.BackendType = BackendType;
+exports.BlockReason = BlockReason;
+exports.BooleanSchema = BooleanSchema;
+exports.ChatSession = ChatSession;
+exports.FinishReason = FinishReason;
+exports.FunctionCallingMode = FunctionCallingMode;
+exports.GenerativeModel = GenerativeModel;
+exports.GoogleAIBackend = GoogleAIBackend;
+exports.HarmBlockMethod = HarmBlockMethod;
+exports.HarmBlockThreshold = HarmBlockThreshold;
+exports.HarmCategory = HarmCategory;
+exports.HarmProbability = HarmProbability;
+exports.HarmSeverity = HarmSeverity;
+exports.ImagenAspectRatio = ImagenAspectRatio;
+exports.ImagenImageFormat = ImagenImageFormat;
+exports.ImagenModel = ImagenModel;
+exports.ImagenPersonFilterLevel = ImagenPersonFilterLevel;
+exports.ImagenSafetyFilterLevel = ImagenSafetyFilterLevel;
+exports.InferenceMode = InferenceMode;
+exports.InferenceSource = InferenceSource;
+exports.IntegerSchema = IntegerSchema;
+exports.Language = Language;
+exports.LiveGenerativeModel = LiveGenerativeModel;
+exports.LiveResponseType = LiveResponseType;
+exports.LiveSession = LiveSession;
+exports.Modality = Modality;
+exports.NumberSchema = NumberSchema;
+exports.ObjectSchema = ObjectSchema;
+exports.Outcome = Outcome;
+exports.POSSIBLE_ROLES = POSSIBLE_ROLES;
+exports.ResponseModality = ResponseModality;
+exports.Schema = Schema;
+exports.SchemaType = SchemaType;
+exports.StringSchema = StringSchema;
+exports.URLRetrievalStatus = URLRetrievalStatus;
+exports.VertexAIBackend = VertexAIBackend;
+exports.getAI = getAI;
+exports.getGenerativeModel = getGenerativeModel;
+exports.getImagenModel = getImagenModel;
+exports.getLiveGenerativeModel = getLiveGenerativeModel;
+exports.startAudioConversation = startAudioConversation;
+//# sourceMappingURL=index.node.cjs.js.map