how to streaming with telegram bot

[kaizenX209]

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Example Code

for await (const event of eventStream) {
      const eventType = event.event;
      if (eventType === 'on_chain_start') {
        // Was assigned when creating the agent with `.withConfig({"runName": "Agent"})` above
        if (event.name === 'Agent') {
          console.log('\n-----');
          console.log(
            `Starting agent: ${event.name} with input: ${JSON.stringify(
              event.data.input,
            )}`,
          );
        }
      }

Description

Streaming in telegram

System Info

No

[dosubot[bot]]

Hello, @kaizenX209! I'm here to help you with your questions and provide support while you wait for a human maintainer. Let me know how I can assist you!

To stream events with a Telegram bot using LangChain JS, you can follow these steps:

1. Set up the LangChain model and event stream:

   import { StringOutputParser } from "@langchain/core/output_parsers";
   import { ChatPromptTemplate } from "@langchain/core/prompts";
   import { ChatAnthropic } from "@langchain/anthropic";
   
   const model = new ChatAnthropic({ model: "claude-3-sonnet-20240229" });
   const prompt = ChatPromptTemplate.fromTemplate("tell me a joke about {topic}");
   const parser = new StringOutputParser();
   const chain = prompt.pipe(model).pipe(parser);
   
   const eventStream = await chain.streamEvents(
     { topic: "parrot" },
     { version: "v2" }
   );

2. Integrate with a Telegram bot:

   const TelegramBot = require('node-telegram-bot-api');
   const token = 'YOUR_TELEGRAM_BOT_TOKEN';
   const bot = new TelegramBot(token, { polling: true });
   
   bot.on('message', async (msg) => {
     const chatId = msg.chat.id;
     const userMessage = msg.text;
   
     // Use LangChain model to process the user message
     const aiMsg = await llm.invoke([
       ["system", "You are a helpful assistant that translates English to French. Translate the user sentence."],
       ["human", userMessage],
     ]);
   
     // Stream events and send responses to the user
     for await (const event of eventStream) {
       const eventType = event.event;
       if (eventType === 'on_chain_start') {
         if (event.name === 'Agent') {
           bot.sendMessage(chatId, `Starting agent: ${event.name} with input: ${JSON.stringify(event.data.input)}`);
         }
       }
       // Handle other event types as needed
     }
   });

This example demonstrates how to set up a LangChain model, stream events, and integrate it with a Telegram bot to handle user input and provide real-time responses based on the streamed events ^[1][2].

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