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Update dependency @slack/bolt to v4 - autoclosed#182

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Update dependency @slack/bolt to v4 - autoclosed#182
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renovate/slack-bolt-4.x

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This PR body was truncated due to platform limits.

This PR contains the following updates:

Package Change Age Confidence
@slack/bolt (source) ^3.12.1 → ^4.0.0 age confidence

Release Notes

slackapi/bolt-js (@​slack/bolt)

v4.7.3

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Patch Changes
  • 341b60e: Reject empty signingSecret at initialization to prevent accidental HMAC signature forgery.

v4.7.2

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Patch Changes
  • 4545150: Require exact ssl_check=1 value to bypass signature verification, preventing truthy but incorrect values from skipping authentication checks.

v4.7.1

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Patch Changes
  • a18c359: fix: correct InvalidCustomPropertyError code and MemoryStore promise handling

v4.7.0

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What's Changed

Bring magic to a conversation with sayStream for streaming messages and show loading status with setStatus. Now available for app.event and app.message listeners:

app.event('app_mention', async ({ sayStream, setStatus }) => {
  setStatus({
    status: 'Thinking...',
    loading_messages: ['Waking up...', 'Loading a witty response...'],
  });
  const stream = sayStream({ buffer_size: 100 });
  await stream.append({ markdown_text: 'Thinking... :thinking_face:\n\n' });
  await stream.append({ markdown_text: 'Here is my response!' });
  await stream.stop();
});

The respond function now accepts thread_ts to publish responses in a thread:

app.action('my_action', async ({ ack, respond }) => {
  await ack();
  await respond({ text: 'Replying in thread!', thread_ts: '1234567890.123456' });
});

Configure ping timeouts, reconnect behavior, and other Socket Mode settings directly through App options:

const app = new App({
  socketMode: true,
  appToken: process.env.SLACK_APP_TOKEN,
  token: process.env.SLACK_BOT_TOKEN,
  clientPingTimeout: 15000,
  serverPingTimeout: 60000,
  pingPongLoggingEnabled: true,
});
👾 Enhancements
🐛 Fixes
📚 Documentation
🧰 Maintenance
🎁 Dependencies
Core
CI
Dev
Examples

👋 New Contributors 🎉

Full Changelog: https://github.com/slackapi/bolt-js/compare/@slack/bolt@4.6.0...@​slack/bolt@4.7.0
Milestone: https://github.com/slackapi/bolt-js/milestone/61
Package: https://www.npmjs.com/package/@​slack/bolt/v/4.7.0

v4.6.0

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📚 Changelog

What's Changed

👾 Enhancements
🐛 Bug fixes
📚 Documentation
🤖 Dependencies
🧰 Maintenance

Milestone: https://github.com/slackapi/bolt-js/milestone/60?closed=1
Full Changelog: https://github.com/slackapi/bolt-js/compare/@slack/bolt@4.5.0...@​slack/bolt@4.6.0
Package: https://www.npmjs.com/package/@​slack/bolt/v/4.6.0

v4.5.0

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AI-Enabled Features: Loading States, Text Streaming, and Feedback Buttons

🍿 Preview
2025-10-06-loading-state-text-streaming-feedback.mov
📚 Changelog
⚡ Getting Started

Try the AI Agent Sample app to explore the AI-enabled features and existing Assistant helper:

# Create a new AI Agent app
$ slack create slack-ai-agent-app --template slack-samples/bolt-js-assistant-template
$ cd slack-ai-agent-app/

# Add your OPENAI_API_KEY
$ export OPENAI_API_KEY=sk-proj-ahM...

# Run the local dev server
$ slack run

After the app starts, send a message to the "slack-ai-agent-app" bot for a unique response.

⌛ Loading States

Loading states allows you to not only set the status (e.g. "My app is typing...") but also sprinkle some personality by cycling through a collection of loading messages:

Web Client SDK:
app.event('message', async ({ client, context, event, logger }) => {
    // ...
    await client.assistant.threads.setStatus({
        channel_id: channelId,
        thread_ts: threadTs,
        status: 'thinking...',
        loading_messages: [
            'Teaching the hamsters to type faster…',
            'Untangling the internet cables…',
            'Consulting the office goldfish…',
            'Polishing up the response just for you…',
            'Convincing the AI to stop overthinking…',
        ],
    });

    // Start a new message stream
});
Assistant Class:
const assistant = new Assistant({
    threadStarted: assistantThreadStarted,
    threadContextChanged: assistantThreadContextChanged,
    userMessage: async ({ client, context, logger, message, getThreadContext, say, setTitle, setStatus }) => {
        await setStatus({
            status: 'thinking...',
            loading_messages: [
                'Teaching the hamsters to type faster…',
                'Untangling the internet cables…',
                'Consulting the office goldfish…',
                'Polishing up the response just for you…',
                'Convincing the AI to stop overthinking…',
            ],
        });
    },
});
🔮 Text Streaming Helper

The client.chatStream() helper utility can be used to streamline calling the 3 text streaming methods:

app.event('message', async ({ client, context, event, logger }) => {
    // ...

    // Start a new message stream
    const streamer = client.chatStream({
        channel: channelId,
        recipient_team_id: teamId,
        recipient_user_id: userId,
        thread_ts: threadTs,
    });

    // Loop over OpenAI response stream
    // https://platform.openai.com/docs/api-reference/responses/create
    for await (const chunk of llmResponse) {
        if (chunk.type === 'response.output_text.delta') {
            await streamer.append({
                markdown_text: chunk.delta,
            });
        }
    }

    // Stop the stream and attach feedback buttons
    await streamer.stop({ blocks: [feedbackBlock] });
});
🔠 Text Streaming Methods

Alternative to the Text Streaming Helper is to call the individual methods.

1) client.chat.startStream

First, start a chat text stream to stream a response to any message:

app.event('message', async ({ client, context, event, logger }) => {
    // ...
    const streamResponse = await client.chat.startStream({
        channel: channelId,
        recipient_team_id: teamId,
        recipient_user_id: userId,
        thread_ts: threadTs,
    });

    const streamTs = streamResponse.ts
2) client.chat.appendStream

After starting a chat text stream, you can then append text to it in chunks (often from your favourite LLM SDK) to convey a streaming effect:

for await (const chunk of llmResponse) {
    if (chunk.type === 'response.output_text.delta') {
        await client.chat.appendSteam({
            channel: channelId,
            markdown_text: chunk.delta,
            ts: streamTs,
        });
    }
}
3) client.chat.stopStream

Lastly, you can stop the chat text stream to finalize your message:

await client.chat.stopStream({
    blocks: [feedbackBlock],
    channel: channelId,
    ts: streamTs,
});
👍🏻 Feedback Buttons

Add feedback buttons to the bottom of a message, after stopping a text stream, to gather user feedback:

const feedbackBlock = {
    type: 'context_actions',
    elements: [{
        type: 'feedback_buttons',
        action_id: 'feedback',
        positive_button: {
            text: { type: 'plain_text', text: 'Good Response' },
            accessibility_label: 'Submit positive feedback on this response',
            value: 'good-feedback',
        },
        negative_button: {
            text: { type: 'plain_text', text: 'Bad Response' },
            accessibility_label: 'Submit negative feedback on this response',
            value: 'bad-feedback',
        },
    }],
};

// Using the Text Streaming Helper
await streamer.stop({ blocks: [feedbackBlock] });
// Or, using the Text Streaming Method
await client.chat.stopStream({
    blocks: [feedbackBlock],
    channel: channelId,
    ts: streamTs,
});

What's Changed

👾 Enhancements
  • feat: add ai-enabled features text streaming methods, feedback blocks, and loading state in #​2674 - Thanks @​zimeg!
🐛 Bug fixes
  • Fix: allows Assistant say function to properly pass metadata in #​2569 - Thanks @​jamessimone!
  • refactor: check payload type before extracting assistant thread info in #​2603 - Thanks @​zimeg!
  • fix: better ES module support for App class in #​2632 - Thanks @​malewis5!
  • fix(typescript): accept empty list of suggested prompts for the assistant class in #​2650 - Thanks @​zimeg!
📚 Documentation
🤖 Dependencies

✂ Note

PR body was truncated to here.

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@renovate renovate Bot changed the title Update dependency @slack/bolt to v4 Update dependency @slack/bolt to v4 - autoclosed Jul 15, 2026
@renovate renovate Bot closed this Jul 15, 2026
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