Method callOpenAIChatOrSearch

ai/ai.ts:2759–2875

(
    providerConfig: ProviderConfig,
    model: string,
    question: string,
    images: AIContentPart[],
    modeConfig: ProviderModeConfig,
    systemPrompt: string,
    token?: AbortToken,
    isSearch = false,
  )

  private async callOpenAIChatOrSearch(
    providerConfig: ProviderConfig,
    model: string,
    question: string,
    images: AIContentPart[],
    modeConfig: ProviderModeConfig,
    systemPrompt: string,
    token?: AbortToken,
    isSearch = false,
  ): Promise<{
    text: string;
    sources: Array<{ url: string; title?: string }>;
    images: AIImage[];
  }> {
    const url = providerConfig.responses
      ? resolveResponsesEndpointUrl(providerConfig, modeConfig)
      : resolveEndpointUrl(
          resolveBaseUrl(providerConfig, modeConfig),
          modeConfig.endpoint || "chat/completions",
        );
    const authMode = resolveAuthMode(
      getProviderProfile(providerConfig),
      modeConfig,
      providerConfig,
    );

    const imageUrlPolicy = modeConfig.imageUrlPolicy ?? "any";
    const safeImages =
      imageUrlPolicy === "data-only"
        ? images.filter(
            (part) =>
              part.type === "image_url" && !!parseDataUrl(part.image_url.url),
          )
        : images;

    const authConfig = applyAuthConfig(authMode, providerConfig, url, {
      "Content-Type": "application/json",
    });

    const sys = (systemPrompt || "").trim();
    let data: any;

    if (providerConfig.responses) {
      const inputContent = buildResponsesInputContent(question, safeImages);
      data = {
        model,
        input:
          inputContent.length > 0
            ? [{ role: "user", content: inputContent }]
            : question,
        stream: providerConfig.stream,
      };
      if (sys) data.instructions = sys;
      if (isSearch) {
        data.tools = [{ type: "web_search" }];
        data.include = ["web_search_call.action.sources"];
      }
    } else {
      const messages: any[] = [];