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Update dependency @slack/bolt to v4 #182

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@renovate renovate bot commented Oct 17, 2024 •
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Note: 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)

v4.6.0

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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
🧰 Maintaince

New Contributors 🎉

Milestone: https://github.com/slackapi/bolt-js/milestone/59?closed=1
Full Changelog: https://github.com/slackapi/bolt-js/compare/@slack/bolt@4.4.0...@​slack/bolt@4.5.0
Package: https://www.npmjs.com/package/@​slack/bolt/v/4.5.0

v4.4.0

Compare Source

What's Changed

🚀 Features
🐛 Fixes
🧰 Maintenance
🤖 Dependencies

Full Changelog: https://github.com/slackapi/bolt-js/compare/@slack/bolt@4.3.0...@​slack/bolt@4.4.0
Milstone: https://github.com/slackapi/bolt-js/milestone/58?closed=1

v4.3.0

Compare Source

What's Changed

🐛 Fixes

📚 Documentation

🧰 Maintenance

  • ci: label updates to example app dependencies with an 'area:examples' label by @​zimeg in #​2485
  • ci: increase updated versions to depend on the latest releases by @​zimeg in #​2468

🤖 Dependencies

Thank you to all our lovely contributors ✨

Full Changelog: https://github.com/slackapi/bolt-js/compare/@slack/bolt@4.2.1...@​slack/bolt@4.3.0

v4.2.1

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What's Changed

🐛 Fixes

📚 Documentation

🧰 Maintenance

🤖 Dependencies

Configuration

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