Function onUserInput

app/store/chat.ts:407–528

(
        content: string,
        attachImages?: string[],
        isMcpResponse?: boolean,
      )

      },

      async onUserInput(
        content: string,
        attachImages?: string[],
        isMcpResponse?: boolean,
      ) {
        const session = get().currentSession();
        const modelConfig = session.mask.modelConfig;

        // MCP Response no need to fill template
        let mContent: string | MultimodalContent[] = isMcpResponse
          ? content
          : fillTemplateWith(content, modelConfig);

        if (!isMcpResponse && attachImages && attachImages.length > 0) {
          mContent = [
            ...(content ? [{ type: "text" as const, text: content }] : []),
            ...attachImages.map((url) => ({
              type: "image_url" as const,
              image_url: { url },
            })),
          ];
        }

        let userMessage: ChatMessage = createMessage({
          role: "user",
          content: mContent,
          isMcpResponse,
        });

        const botMessage: ChatMessage = createMessage({
          role: "assistant",
          streaming: true,
          model: modelConfig.model,
        });

        // get recent messages
        const recentMessages = await get().getMessagesWithMemory();
        const sendMessages = recentMessages.concat(userMessage);
        const messageIndex = session.messages.length + 1;

        // save user's and bot's message
        get().updateTargetSession(session, (session) => {
          const savedUserMessage = {
            ...userMessage,
            content: mContent,
          };
          session.messages = session.messages.concat([
            savedUserMessage,
            botMessage,
          ]);
        });

        const api: ClientApi = getClientApi(modelConfig.providerName);
        // make request
        api.llm.chat({
          messages: sendMessages,
          config: { ...modelConfig, stream: true },
          onUpdate(message) {