Imported from jeremylongshore/tons-of-skills-marketplace (skills/.curated/cohere-webhooks-events/SKILL.md). Install upstream with npx skills add jeremylongshore/tons-of-skills-marketplace --skill cohere-webhooks-events. Copyright stays with the author (MIT).

Cohere Streaming Events & Connectors

Overview

Handle Cohere's streaming chat events (SSE), tool-call events, citation events, and register data connectors for RAG. Cohere does not use traditional webhooks — its event model is streaming-based.

Prerequisites

• cohere-ai SDK v7+
• Understanding of Server-Sent Events (SSE)
• For connectors: HTTPS endpoint accessible from internet

Instructions

Step 1: Chat Streaming Events

Cohere's chatStream returns a stream of typed events:

import { CohereClientV2 } from 'cohere-ai';

const cohere = new CohereClientV2();

async function handleStream(userMessage: string) {
  const stream = await cohere.chatStream({
    model: 'command-a-03-2025',
    messages: [{ role: 'user', content: userMessage }],
  });

  for await (const event of stream) {
    switch (event.type) {
      // Text content streaming
      case 'content-start':
        console.log('--- Generation started ---');
        break;

      case 'content-delta':
        const text = event.delta?.message?.content?.text ?? '';
        process.stdout.write(text);
        break;

      case 'content-end':
        console.log('\n--- Generation complete ---');
        break;

      // Citation events (when using documents)
      case 'citation-start':
        console.log('Citation:', event.delta?.message?.citations);
        break;

      // Tool call events (when using tools)
      case 'tool-call-start':
        console.log('Tool call started:', event.delta?.message?.toolCalls?.function?.name);
        break;

      case 'tool-call-delta':
        // Streaming tool arguments
        break;

      case 'tool-call-end':
        console.log('Tool call complete');
        break;

      // Message lifecycle
      case 'message-start':
        console.log('Message ID:', event.id);
        break;

      case 'message-end':
        console.log('Finish reason:', event.delta?.finishReason);
        console.log('Usage:', event.delta?.usage);
        break;
    }
  }
}

Step 2: RAG Streaming with Citations

async function streamRAG(query: string, docs: string[]) {
  const stream = await cohere.chatStream({
    model: 'command-a-03-2025',
    messages: [{ role: 'user', content: query }],
    documents: docs.map((text, i) => ({
      id: `doc-${i}`,
      data: { text },
    })),
  });

  let fullText = '';
  const citations: Array<{ start: number; end: number; text: string; sources: string[] }> = [];

  for await (const event of stream) {
    if (event.type === 'content-delta') {
      const chunk = event.delta?.message?.content?.text ?? '';
      fullText += chunk;
      process.stdout.write(chunk);
    }

    if (event.type === 'citation-start') {
      const cite = event.delta?.message?.citations;
      if (cite) {
        citations.push({
          start: cite.start,
          end: cite.end,
          text: cite.text,
          sources: cite.sources?.map((s: any) => s.id) ?? [],
        });
      }
    }
  }

  return { fullText, citations };
}

Step 3: Streaming Tool Use

const tools = [{
  type: 'function' as const,
  function: {
    name: 'get_price',
    description: 'Get stock price',
    parameters: {
      type: 'object' as const,
      properties: { ticker: { type: 'string' } },
      required: ['ticker'],
    },
  },
}];

async function streamToolUse(query: string) {
  const stream = await cohere.chatStream({
    model: 'command-a-03-2025',
    messages: [{ role: 'user', content: query }],
    tools,
  });

  let currentToolName = '';
  let currentToolArgs = '';

  for await (const event of stream) {
    switch (event.type) {
      case 'tool-call-start':
        currentToolName = event.delta?.message?.toolCalls?.function?.name ?? '';
        currentToolArgs = '';
        console.log(`Calling tool: ${currentToolName}`);
        break;

      case 'tool-call-delta':
        currentToolArgs += event.delta?.message?.toolCalls?.function?.arguments ?? '';
        break;

      case 'tool-call-end':
        console.log(`Tool args: ${currentToolArgs}`);
        // Execute tool here, then send results back
        break;

      case 'content-delta':
        process.stdout.write(event.delta?.message?.content?.text ?? '');
        break;
    }
  }
}

Step 4: SSE Endpoint for Frontend

// Express endpoint that proxies Cohere stream as SSE
import express from 'express';

const app = express();
app.use(express.json());

app.post('/api/chat/stream', async (req, res) => {
  res.setHeader('Content-Type', 'text/event-stream');
  res.setHeader('Cache-Control', 'no-cache');
  res.setHeader('Connection', 'keep-alive');

  const cohere = new CohereClientV2();

  try {
    const stream = await cohere.chatStream({
      model: 'command-a-03-2025',
      messages: req.body.messages,
    });

    for await (const event of stream) {
      if (event.type === 'content-delta') {
        const text = event.delta?.message?.content?.text ?? '';
        res.write(`data: ${JSON.stringify({ type: 'text', text })}\n\n`);
      }

      if (event.type === 'citation-start') {
        res.write(`data: ${JSON.stringify({ type: 'citation', data: event.delta })}\n\n`);
      }

      if (event.type === 'message-end') {
        res.write(`data: ${JSON.stringify({ type: 'done', usage: event.delta?.usage })}\n\n`);
      }
    }

    res.write('data: [DONE]\n\n');
    res.end();
  } catch (err) {
    res.write(`data: ${JSON.stringify({ type: 'error', message: String(err) })}\n\n`);
    res.end();
  }
});

Step 5: Cohere Connectors (Data Source Registration)

// Register a custom data source for RAG queries
// Connectors allow Cohere to fetch documents from your APIs

// Create a connector
const connector = await cohere.connectors.create({
  name: 'internal-docs',
  url: 'https://api.yourapp.com/search',
  description: 'Internal documentation search',
});

// Use connector in chat for automatic retrieval
const response = await cohere.chat({
  model: 'command-a-03-2025',
  messages: [{ role: 'user', content: 'How do I reset my password?' }],
  connectors: [{ id: connector.connector.id }],
});

// List registered connectors
const connectors = await cohere.connectors.list();
console.log('Registered connectors:', connectors.connectors.length);

Connector endpoint contract: Your URL receives POST { query: string } and must return { results: [{ id, text, title?, url? }] }.

Event Type Reference

Error Handling

Output

Emit a streaming/event receipt with request correlation, event sequence, citation/tool decision, completion/usage metadata, and classified failure state. Do not persist complete prompts, generated content, tool arguments, document payloads, or credentials unless the product’s approved data policy requires it.

Examples

Stream a staging RAG response with an approved synthetic document, verify the content and citation event order, and terminate cleanly after message-end. If the stream drops or tool arguments are incomplete, return a safe partial state and retry only through the bounded request policy rather than replaying the user’s complete data.

Resources

• Cohere Streaming Guide
• RAG Streaming
• Tool Use Streaming
• Connectors API

Next Steps

For performance optimization, see cohere-performance-tuning.