@genkit-ai/compat-oai/lib/audio.mjs

Genkit AI framework plugin for OpenAI APIs.

import { GenerationCommonConfigSchema, Message, modelRef, z } from "genkit";
const TRANSCRIPTION_MODEL_INFO = {
  supports: {
    media: true,
    output: ["text", "json"],
    multiturn: false,
    systemRole: false,
    tools: false
  }
};
const SPEECH_MODEL_INFO = {
  supports: {
    media: false,
    output: ["media"],
    multiturn: false,
    systemRole: false,
    tools: false
  }
};
const ChunkingStrategySchema = z.object({
  type: z.string(),
  prefix_padding_ms: z.number().int().optional(),
  silence_duration_ms: z.number().int().optional(),
  threshold: z.number().min(0).max(1).optional()
});
const TranscriptionConfigSchema = GenerationCommonConfigSchema.pick({
  temperature: true
}).extend({
  chunking_strategy: z.union([z.literal("auto"), ChunkingStrategySchema]).optional(),
  include: z.array(z.any()).optional(),
  language: z.string().optional(),
  timestamp_granularities: z.array(z.enum(["word", "segment"])).optional(),
  response_format: z.enum(["json", "text", "srt", "verbose_json", "vtt"]).optional()
  // TODO stream support
});
const SpeechConfigSchema = z.object({
  voice: z.enum(["alloy", "echo", "fable", "onyx", "nova", "shimmer"]).default("alloy"),
  speed: z.number().min(0.25).max(4).optional(),
  response_format: z.enum(["mp3", "opus", "aac", "flac", "wav", "pcm"]).optional()
});
const RESPONSE_FORMAT_MEDIA_TYPES = {
  mp3: "audio/mpeg",
  opus: "audio/opus",
  aac: "audio/aac",
  flac: "audio/flac",
  wav: "audio/wav",
  pcm: "audio/L16"
};
function toTTSRequest(modelName, request, requestBuilder) {
  const {
    voice,
    version: modelVersion,
    temperature,
    maxOutputTokens,
    stopSequences,
    topK,
    topP,
    ...restOfConfig
  } = request.config ?? {};
  let options = {
    model: modelVersion ?? modelName,
    input: new Message(request.messages[0]).text,
    voice: voice ?? "alloy"
  };
  if (requestBuilder) {
    requestBuilder(request, options);
  } else {
    options = {
      ...options,
      ...restOfConfig
      // passthorugh rest of the config
    };
  }
  for (const k in options) {
    if (options[k] === void 0) {
      delete options[k];
    }
  }
  return options;
}
async function toGenerateResponse(response, responseFormat = "mp3") {
  const resultArrayBuffer = await response.arrayBuffer();
  const resultBuffer = Buffer.from(new Uint8Array(resultArrayBuffer));
  const mediaType = RESPONSE_FORMAT_MEDIA_TYPES[responseFormat];
  return {
    message: {
      role: "model",
      content: [
        {
          media: {
            contentType: mediaType,
            url: `data:${mediaType};base64,${resultBuffer.toString("base64")}`
          }
        }
      ]
    },
    finishReason: "stop",
    raw: response
  };
}
function defineCompatOpenAISpeechModel(params) {
  const { ai, name, client, modelRef: modelRef2, requestBuilder } = params;
  const modelName = name.substring(name.indexOf("/") + 1);
  return ai.defineModel(
    {
      name,
      apiVersion: "v2",
      ...modelRef2?.info,
      configSchema: modelRef2?.configSchema
    },
    async (request, { abortSignal }) => {
      const ttsRequest = toTTSRequest(modelName, request, requestBuilder);
      const result = await client.audio.speech.create(ttsRequest, {
        signal: abortSignal
      });
      return await toGenerateResponse(result, ttsRequest.response_format);
    }
  );
}
function compatOaiSpeechModelRef(params) {
  const {
    name,
    info = SPEECH_MODEL_INFO,
    configSchema,
    config = void 0
  } = params;
  return modelRef({
    name,
    configSchema: configSchema || SpeechConfigSchema,
    info,
    config
  });
}
function toSttRequest(modelName, request, requestBuilder) {
  const message = new 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 transcriptionToGenerateResponse(result) {
  return {
    message: {
      role: "model",
      content: [
        {
          text: typeof result === "string" ? result : result.text
        }
      ]
    },
    finishReason: "stop",
    raw: result
  };
}
function defineCompatOpenAITranscriptionModel(params) {
  const { ai, name, client, modelRef: modelRef2, requestBuilder } = params;
  return ai.defineModel(
    {
      name,
      apiVersion: "v2",
      ...modelRef2?.info,
      configSchema: modelRef2?.configSchema
    },
    async (request, { abortSignal }) => {
      const modelName = name.substring(name.indexOf("/") + 1);
      const params2 = toSttRequest(modelName, request, requestBuilder);
      const result = await client.audio.transcriptions.create(
        {
          ...params2,
          stream: false
        },
        { signal: abortSignal }
      );
      return transcriptionToGenerateResponse(result);
    }
  );
}
function compatOaiTranscriptionModelRef(params) {
  const {
    name,
    info = TRANSCRIPTION_MODEL_INFO,
    configSchema,
    config = void 0
  } = params;
  return modelRef({
    name,
    configSchema: configSchema || TranscriptionConfigSchema,
    info,
    config
  });
}
export {
  RESPONSE_FORMAT_MEDIA_TYPES,
  SPEECH_MODEL_INFO,
  SpeechConfigSchema,
  TRANSCRIPTION_MODEL_INFO,
  TranscriptionConfigSchema,
  compatOaiSpeechModelRef,
  compatOaiTranscriptionModelRef,
  defineCompatOpenAISpeechModel,
  defineCompatOpenAITranscriptionModel
};
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