Method generateImageWithOpenAIRest

ai/ai.ts:3032–3145

(
    providerConfig: ProviderConfig,
    model: string,
    prompt: string,
    image: AIImage | undefined,
    modeConfig: ProviderModeConfig,
    token?: AbortToken,
  )

  private async generateImageWithOpenAIRest(
    providerConfig: ProviderConfig,
    model: string,
    prompt: string,
    image: AIImage | undefined,
    modeConfig: ProviderModeConfig,
    token?: AbortToken,
  ): Promise<AIImage[]> {
    const baseUrl = resolveBaseUrl(providerConfig, modeConfig);
    let endpoint = modeConfig.endpoint || "images/generations";
    const authMode = resolveAuthMode(
      getProviderProfile(providerConfig),
      modeConfig,
      providerConfig,
    );

    const requestModel = model;

    let data: any;
    let headers: Record<string, string> = {};

    if (image && image.data) {
      const dataUri = `data:${image.mimeType};base64,${image.data.toString("base64")}`;

      if (
        model.includes("gpt-image") ||
        model.includes("chatgpt-image") ||
        model.includes("dall-e")
      ) {
        endpoint = modeConfig.endpoint || "images/edits";
        data = {
          model: requestModel,
          prompt,
          images: [
            {
              image_url: dataUri,
            },
          ],
        };
        this.applyImageDefaults(data, providerConfig, requestModel, modeConfig);
        headers["Content-Type"] = "application/json";
      } else {
        endpoint = modeConfig.endpoint || "images/edits";
        const fields: Record<string, any> = {
          model: requestModel,
          prompt,
        };
        this.applyImageDefaults(
          fields,
          providerConfig,
          requestModel,
          modeConfig,
        );

        const boundary =
          "----WebKitFormBoundary" + Math.random().toString(36).substring(2);
        const chunks: Buffer[] = [];

        for (const [key, value] of Object.entries(fields)) {