@genkit-ai/compat-oai/lib/translate.js

Genkit AI framework plugin for OpenAI APIs.

"use strict";
var __defProp = Object.defineProperty;
var __getOwnPropDesc = Object.getOwnPropertyDescriptor;
var __getOwnPropNames = Object.getOwnPropertyNames;
var __hasOwnProp = Object.prototype.hasOwnProperty;
var __export = (target, all) => {
  for (var name in all)
    __defProp(target, name, { get: all[name], enumerable: true });
};
var __copyProps = (to, from, except, desc) => {
  if (from && typeof from === "object" || typeof from === "function") {
    for (let key of __getOwnPropNames(from))
      if (!__hasOwnProp.call(to, key) && key !== except)
        __defProp(to, key, { get: () => from[key], enumerable: !(desc = __getOwnPropDesc(from, key)) || desc.enumerable });
  }
  return to;
};
var __toCommonJS = (mod) => __copyProps(__defProp({}, "__esModule", { value: true }), mod);
var translate_exports = {};
__export(translate_exports, {
  TRANSLATION_MODEL_INFO: () => TRANSLATION_MODEL_INFO,
  TranslationConfigSchema: () => TranslationConfigSchema,
  compatOaiTranslationModelRef: () => compatOaiTranslationModelRef,
  defineCompatOpenAITranslationModel: () => defineCompatOpenAITranslationModel,
  toTranslationRequest: () => toTranslationRequest,
  translationToGenerateResponse: () => translationToGenerateResponse
});
module.exports = __toCommonJS(translate_exports);
var import_genkit = require("genkit");
var import_plugin = require("genkit/plugin");
var import_utils = require("./utils.js");
const TRANSLATION_MODEL_INFO = {
  supports: {
    media: true,
    output: ["text", "json"],
    multiturn: false,
    systemRole: false,
    tools: false
  }
};
const TranslationConfigSchema = import_genkit.GenerationCommonConfigSchema.pick({
  temperature: true
}).extend({
  response_format: import_genkit.z.enum(["json", "text", "srt", "verbose_json", "vtt"]).optional()
});
function toTranslationRequest(modelName, request, requestBuilder) {
  const message = new import_genkit.Message(request.messages[0]);
  const media = message.media;
  if (!media?.url) {
    throw new Error("No media found in the request");
  }
  const mediaBuffer = Buffer.from(
    media.url.slice(media.url.indexOf(",") + 1),
    "base64"
  );
  const mediaFile = new File([mediaBuffer], "input", {
    type: media.contentType ?? media.url.slice("data:".length, media.url.indexOf(";"))
  });
  const {
    temperature,
    version: modelVersion,
    maxOutputTokens,
    stopSequences,
    topK,
    topP,
    ...restOfConfig
  } = request.config ?? {};
  let options = {
    model: modelVersion ?? modelName,
    file: mediaFile,
    prompt: message.text,
    temperature
  };
  if (requestBuilder) {
    requestBuilder(request, options);
  } else {
    options = {
      ...options,
      ...restOfConfig
      // passthrough rest of the config
    };
  }
  const outputFormat = request.output?.format;
  const customFormat = request.config?.response_format;
  if (outputFormat && customFormat) {
    if (outputFormat === "json" && customFormat !== "json" && customFormat !== "verbose_json") {
      throw new Error(
        `Custom response format ${customFormat} is not compatible with output format ${outputFormat}`
      );
    }
  }
  if (outputFormat === "media") {
    throw new Error(`Output format ${outputFormat} is not supported.`);
  }
  options.response_format = customFormat || outputFormat || "text";
  for (const k in options) {
    if (options[k] === void 0) {
      delete options[k];
    }
  }
  return options;
}
function translationToGenerateResponse(result) {
  return {
    message: {
      role: "model",
      content: [
        {
          text: typeof result === "string" ? result : result.text
        }
      ]
    },
    finishReason: "stop",
    raw: result
  };
}
function defineCompatOpenAITranslationModel(params) {
  const {
    name,
    client: defaultClient,
    pluginOptions,
    modelRef: modelRef2,
    requestBuilder
  } = params;
  const modelName = (0, import_utils.toModelName)(name, pluginOptions?.name);
  const actionName = `${pluginOptions?.name ?? "compat-oai"}/${modelName}`;
  return (0, import_plugin.model)(
    {
      name: actionName,
      ...modelRef2?.info,
      configSchema: modelRef2?.configSchema
    },
    async (request, { abortSignal }) => {
      const params2 = toTranslationRequest(modelName, request, requestBuilder);
      const client = (0, import_utils.maybeCreateRequestScopedOpenAIClient)(
        pluginOptions,
        request,
        defaultClient
      );
      const result = await client.audio.translations.create(params2, {
        signal: abortSignal
      });
      return translationToGenerateResponse(result);
    }
  );
}
function compatOaiTranslationModelRef(params) {
  const {
    name,
    info = TRANSLATION_MODEL_INFO,
    configSchema,
    config = void 0,
    namespace
  } = params;
  return (0, import_genkit.modelRef)({
    name,
    configSchema: configSchema || TranslationConfigSchema,
    info,
    config,
    namespace
  });
}
// Annotate the CommonJS export names for ESM import in node:
0 && (module.exports = {
  TRANSLATION_MODEL_INFO,
  TranslationConfigSchema,
  compatOaiTranslationModelRef,
  defineCompatOpenAITranslationModel,
  toTranslationRequest,
  translationToGenerateResponse
});
//# sourceMappingURL=translate.js.map