{"version":3,"sources":["../src/index.ts"],"sourcesContent":["/**\n * Copyright 2024 Google LLC\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n */\n\nimport {\n embedderActionMetadata,\n embedderRef,\n modelActionMetadata,\n type ActionMetadata,\n type EmbedderReference,\n type Genkit,\n type ModelReference,\n type z,\n} from 'genkit';\nimport { logger } from 'genkit/logging';\nimport { modelRef } from 'genkit/model';\nimport { genkitPlugin, type GenkitPlugin } from 'genkit/plugin';\nimport type { ActionType } from 'genkit/registry';\nimport { getApiKeyFromEnvVar } from './common.js';\nimport {\n SUPPORTED_MODELS as EMBEDDER_MODELS,\n GeminiEmbeddingConfigSchema,\n defineGoogleAIEmbedder,\n geminiEmbedding001,\n textEmbedding004,\n textEmbeddingGecko001,\n type GeminiEmbeddingConfig,\n} from './embedder.js';\nimport {\n GeminiConfigSchema,\n SUPPORTED_GEMINI_MODELS,\n defineGoogleAIModel,\n gemini,\n gemini10Pro,\n gemini15Flash,\n gemini15Flash8b,\n gemini15Pro,\n gemini20Flash,\n gemini20FlashExp,\n gemini20FlashLite,\n gemini20ProExp0205,\n gemini25FlashLite,\n gemini25FlashPreview0417,\n gemini25ProExp0325,\n gemini25ProPreview0325,\n type GeminiConfig,\n type GeminiVersionString,\n} from './gemini.js';\nimport {\n GENERIC_IMAGEN_INFO,\n ImagenConfigSchema,\n defineImagenModel,\n type KNOWN_IMAGEN_MODELS,\n} from './imagen.js';\nimport { listModels } from './list-models.js';\nimport {\n GENERIC_VEO_INFO,\n KNOWN_VEO_MODELS,\n VeoConfigSchema,\n defineVeoModel,\n} from './veo.js';\nexport {\n gemini,\n gemini10Pro,\n gemini15Flash,\n gemini15Flash8b,\n gemini15Pro,\n gemini20Flash,\n gemini20FlashExp,\n gemini20FlashLite,\n gemini20ProExp0205,\n gemini25FlashLite,\n gemini25FlashPreview0417,\n gemini25ProExp0325,\n gemini25ProPreview0325,\n geminiEmbedding001,\n textEmbedding004,\n textEmbeddingGecko001,\n type GeminiConfig,\n type GeminiVersionString,\n};\n\n/**\n * @deprecated\n */\nexport interface PluginOptions {\n /**\n * Provide the API key to use to authenticate with the Gemini API. By\n * default, an API key must be provided explicitly here or through the\n * `GEMINI_API_KEY` or `GOOGLE_API_KEY` environment variables.\n *\n * If `false` is explicitly passed, the plugin will be configured to\n * expect an `apiKey` option to be provided to the model config at\n * call time.\n **/\n apiKey?: string | false;\n apiVersion?: string | string[];\n baseUrl?: string;\n models?: (\n | ModelReference\n | string\n )[];\n experimental_debugTraces?: boolean;\n}\n\nasync function initializer(ai: Genkit, options?: PluginOptions) {\n let apiVersions = ['v1'];\n\n if (options?.apiVersion) {\n if (Array.isArray(options?.apiVersion)) {\n apiVersions = options?.apiVersion;\n } else {\n apiVersions = [options?.apiVersion];\n }\n }\n\n if (apiVersions.includes('v1beta')) {\n Object.keys(SUPPORTED_GEMINI_MODELS).forEach((name) =>\n defineGoogleAIModel({\n ai,\n name,\n apiKey: options?.apiKey,\n apiVersion: 'v1beta',\n baseUrl: options?.baseUrl,\n debugTraces: options?.experimental_debugTraces,\n })\n );\n }\n if (apiVersions.includes('v1')) {\n Object.keys(SUPPORTED_GEMINI_MODELS).forEach((name) =>\n defineGoogleAIModel({\n ai,\n name,\n apiKey: options?.apiKey,\n apiVersion: undefined,\n baseUrl: options?.baseUrl,\n debugTraces: options?.experimental_debugTraces,\n })\n );\n Object.keys(EMBEDDER_MODELS).forEach((name) =>\n defineGoogleAIEmbedder(ai, name, { apiKey: options?.apiKey })\n );\n }\n\n if (options?.models) {\n for (const modelOrRef of options?.models) {\n const modelName =\n typeof modelOrRef === 'string'\n ? modelOrRef\n : // strip out the `googleai/` prefix\n modelOrRef.name.split('/')[1];\n const modelRef =\n typeof modelOrRef === 'string' ? gemini(modelOrRef) : modelOrRef;\n defineGoogleAIModel({\n ai,\n name: modelName,\n apiKey: options?.apiKey,\n baseUrl: options?.baseUrl,\n info: {\n ...modelRef.info,\n label: `Google AI - ${modelName}`,\n },\n debugTraces: options?.experimental_debugTraces,\n });\n }\n }\n}\n\nasync function resolver(\n ai: Genkit,\n actionType: ActionType,\n actionName: string,\n options?: PluginOptions\n) {\n if (actionType === 'embedder') {\n resolveEmbedder(ai, actionName, options);\n } else if (actionName.startsWith('veo')) {\n // we do it this way because the request may come in for\n // action type 'model' and action name 'veo-...'. That case should\n // be a noop. It's just the order or model lookup.\n if (actionType === 'background-model') {\n defineVeoModel(ai, actionName, options?.apiKey);\n }\n } else if (actionType === 'model') {\n resolveModel(ai, actionName, options);\n }\n}\n\nfunction resolveModel(ai: Genkit, actionName: string, options?: PluginOptions) {\n if (actionName.startsWith('imagen')) {\n defineImagenModel(ai, actionName, options?.apiKey);\n return;\n }\n\n const modelRef = gemini(actionName);\n defineGoogleAIModel({\n ai,\n name: modelRef.name,\n apiKey: options?.apiKey,\n baseUrl: options?.baseUrl,\n info: {\n ...modelRef.info,\n label: `Google AI - ${actionName}`,\n },\n debugTraces: options?.experimental_debugTraces,\n });\n}\n\nfunction resolveEmbedder(\n ai: Genkit,\n actionName: string,\n options?: PluginOptions\n) {\n defineGoogleAIEmbedder(ai, `googleai/${actionName}`, {\n apiKey: options?.apiKey,\n });\n}\n\nasync function listActions(options?: PluginOptions): Promise {\n const apiKey = options?.apiKey || getApiKeyFromEnvVar();\n if (!apiKey) {\n // If API key is not configured we don't want to error, just return empty.\n // In practice it will never actually reach this point without the API key,\n // plugin initializer will fail before that.\n logger.error(\n 'Pass in the API key or set the GEMINI_API_KEY or GOOGLE_API_KEY environment variable.'\n );\n return [];\n }\n\n const models = await listModels(\n options?.baseUrl || 'https://generativelanguage.googleapis.com',\n apiKey\n );\n\n return [\n // Imagen\n ...models\n .filter(\n (m) =>\n m.supportedGenerationMethods.includes('predict') &&\n m.name.includes('imagen')\n )\n // Filter out deprecated\n .filter((m) => !m.description || !m.description.includes('deprecated'))\n .map((m) => {\n const name = m.name.split('/').at(-1)!;\n\n return modelActionMetadata({\n name: `googleai/${name}`,\n info: { ...GENERIC_IMAGEN_INFO },\n configSchema: ImagenConfigSchema,\n });\n }),\n // Veo\n ...models\n .filter(\n (m) =>\n m.supportedGenerationMethods.includes('predictLongRunning') &&\n m.name.includes('veo')\n )\n // Filter out deprecated\n .filter((m) => !m.description || !m.description.includes('deprecated'))\n .map((m) => {\n const name = m.name.split('/').at(-1)!;\n\n return modelActionMetadata({\n name: `googleai/${name}`,\n info: { ...GENERIC_VEO_INFO },\n configSchema: VeoConfigSchema,\n background: true,\n });\n }),\n // Models\n ...models\n .filter((m) => m.supportedGenerationMethods.includes('generateContent'))\n // Filter out deprecated\n .filter((m) => !m.description || !m.description.includes('deprecated'))\n .map((m) => {\n const ref = gemini(\n m.name.startsWith('models/')\n ? m.name.substring('models/'.length)\n : m.name\n );\n\n return modelActionMetadata({\n name: ref.name,\n info: ref.info,\n configSchema: GeminiConfigSchema,\n });\n }),\n // Embedders\n ...models\n .filter((m) => m.supportedGenerationMethods.includes('embedContent'))\n // Filter out deprecated\n .filter((m) => !m.description || !m.description.includes('deprecated'))\n .map((m) => {\n const name =\n 'googleai/' +\n (m.name.startsWith('models/')\n ? m.name.substring('models/'.length)\n : m.name);\n\n return embedderActionMetadata({\n name,\n configSchema: GeminiEmbeddingConfigSchema,\n info: {\n dimensions: 768,\n label: `Google Gen AI - ${name}`,\n supports: {\n input: ['text'],\n },\n },\n });\n }),\n ];\n}\n\n/**\n * Google Gemini Developer API plugin.\n * @deprecated\n */\nexport function googleAIPlugin(options?: PluginOptions): GenkitPlugin {\n let listActionsCache;\n return genkitPlugin(\n 'googleai',\n async (ai: Genkit) => await initializer(ai, options),\n async (ai: Genkit, actionType: ActionType, actionName: string) =>\n await resolver(ai, actionType, actionName, options),\n async () => {\n if (listActionsCache) return listActionsCache;\n listActionsCache = await listActions(options);\n return listActionsCache;\n }\n );\n}\n\n/**\n * @deprecated\n */\nexport type GoogleAIPlugin = {\n (params?: PluginOptions): GenkitPlugin;\n model(\n name: keyof typeof SUPPORTED_GEMINI_MODELS | (`gemini-${string}` & {}),\n config?: z.infer\n ): ModelReference;\n model(\n name: KNOWN_IMAGEN_MODELS | (`imagen${string}` & {}),\n config?: z.infer\n ): ModelReference;\n model(\n name: KNOWN_VEO_MODELS | (`veo${string}` & {}),\n config?: z.infer\n ): ModelReference;\n model(name: string, config?: any): ModelReference;\n embedder(\n name: string,\n config?: GeminiEmbeddingConfig\n ): EmbedderReference;\n};\n\n/**\n * Google Gemini Developer API plugin.\n * @deprecated Please use `import { googleAI } from '@genkit-ai/google-genai';` instead. Replace model constants with e.g. googleAI.model('gemini-2.5-pro')\n */\nexport const googleAI = googleAIPlugin as GoogleAIPlugin;\n// provide generic implementation for the model function overloads.\n(googleAI as any).model = (\n name: string,\n config?: any\n): ModelReference => {\n if (name.startsWith('imagen')) {\n return modelRef({\n name: `googleai/${name}`,\n config,\n configSchema: ImagenConfigSchema,\n });\n }\n if (name.startsWith('veo')) {\n return modelRef({\n name: `googleai/${name}`,\n config,\n configSchema: VeoConfigSchema,\n });\n }\n return modelRef({\n name: `googleai/${name}`,\n config,\n configSchema: GeminiConfigSchema,\n });\n};\ngoogleAI.embedder = (\n name: string,\n config?: GeminiEmbeddingConfig\n): EmbedderReference => {\n return embedderRef({\n name: `googleai/${name}`,\n config,\n configSchema: GeminiEmbeddingConfigSchema,\n });\n};\n\nexport default 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