@genkit-ai/vertexai/lib/index.mjs

Genkit AI framework plugin for Google Cloud Vertex AI APIs including Gemini APIs, Imagen, and more.

/**
 * @license
 *
 * Copyright 2024 Google LLC
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
import { genkitPlugin } from "genkit/plugin";
import { getDerivedParams } from "./common/index.js";
import {
  SUPPORTED_EMBEDDER_MODELS,
  defineVertexAIEmbedder,
  multimodalEmbedding001,
  textEmbedding004,
  textEmbedding005,
  textEmbeddingGecko003,
  textEmbeddingGeckoMultilingual001,
  textMultilingualEmbedding002
} from "./embedder.js";
import {
  SUPPORTED_GEMINI_MODELS,
  defineGeminiKnownModel,
  defineGeminiModel,
  gemini,
  gemini10Pro,
  gemini15Flash,
  gemini15Pro,
  gemini20Flash,
  gemini20Flash001,
  gemini20FlashLite,
  gemini20FlashLitePreview0205,
  gemini20ProExp0205,
  gemini25ProExp0325,
  gemini25ProPreview0325
} from "./gemini.js";
import {
  SUPPORTED_IMAGEN_MODELS,
  imagen2,
  imagen3,
  imagen3Fast,
  imagenModel
} from "./imagen.js";
function vertexAI(options) {
  return genkitPlugin("vertexai", async (ai) => {
    const { projectId, location, vertexClientFactory, authClient } = await getDerivedParams(options);
    Object.keys(SUPPORTED_IMAGEN_MODELS).map(
      (name) => imagenModel(ai, name, authClient, { projectId, location })
    );
    Object.keys(SUPPORTED_GEMINI_MODELS).map(
      (name) => defineGeminiKnownModel(
        ai,
        name,
        vertexClientFactory,
        {
          projectId,
          location
        },
        options?.experimental_debugTraces
      )
    );
    if (options?.models) {
      for (const modelOrRef of options?.models) {
        const modelName = typeof modelOrRef === "string" ? modelOrRef : (
          // strip out the `vertexai/` prefix
          modelOrRef.name.split("/")[1]
        );
        const modelRef = typeof modelOrRef === "string" ? gemini(modelOrRef) : modelOrRef;
        defineGeminiModel({
          ai,
          modelName: modelRef.name,
          version: modelName,
          modelInfo: modelRef.info,
          vertexClientFactory,
          options: {
            projectId,
            location
          },
          debugTraces: options.experimental_debugTraces
        });
      }
    }
    Object.keys(SUPPORTED_EMBEDDER_MODELS).map(
      (name) => defineVertexAIEmbedder(ai, name, authClient, { projectId, location })
    );
  });
}
var src_default = vertexAI;
export {
  src_default as default,
  gemini,
  gemini10Pro,
  gemini15Flash,
  gemini15Pro,
  gemini20Flash,
  gemini20Flash001,
  gemini20FlashLite,
  gemini20FlashLitePreview0205,
  gemini20ProExp0205,
  gemini25ProExp0325,
  gemini25ProPreview0325,
  imagen2,
  imagen3,
  imagen3Fast,
  multimodalEmbedding001,
  textEmbedding004,
  textEmbedding005,
  textEmbeddingGecko003,
  textEmbeddingGeckoMultilingual001,
  textMultilingualEmbedding002,
  vertexAI
};
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