text
stringlengths
0
59.1k
logger,
triggers: createTriggers((on) => {
on.airtable.recordCreated(async ({ payload, agents }) => {
const { record, baseId, tableId } =
(payload as AirtableRecordCreatedPayload | undefined) ?? {};
if (!record?.id) {
logger.warn("Missing recordId in Airtable payload");
return;
}
await agents.airtableAgent.generateText(`Airtable record created.
Base: ${baseId ?? "unknown-base"}
Table: ${tableId ?? "unknown-table"}
Record ID: ${record.id}
Existing fields (JSON): ${safeStringify(record.fields ?? {})}
Update the same record with:
- Summary (1-2 sentences) -> field name: Summary
- Priority (High | Medium | Low) -> field name: Priority
- Status (New | In Progress | Blocked | Done) -> field name: Status
- Next steps (short bullet list as a single string) -> field name: Next steps
Call updateAirtableRecord with recordId and the new fields using those exact names.`);
});
}),
});
```
</ExpandableCode>
</StepSection>
<StepSection stepNumber={7} title="Test End-to-End">
<video controls loop muted playsInline style={{width: '100%', height: 'auto'}}>
<source src="https://cdn.voltagent.dev/voltagent-recipes-guides/airtable-5.mp4" type="video/mp4" />
Your browser does not support the video tag.
</video>
<br/>
<br/>
Now test the complete flow from Airtable to your agent and back.
Add these environment variables to your `.env` file:
```bash
VOLTAGENT_PUBLIC_KEY=pk_...
VOLTAGENT_SECRET_KEY=sk_...
AIRTABLE_CREDENTIAL_ID=cred_...
```
With the tunnel and server running:
1. Insert a new row in your Airtable table (fill in `Title`, `Description`, etc.)
2. The trigger sends the event to your agent
3. The agent generates summary/priority/status/next steps
4. VoltOps writes the fields back to the record
View request/response logs in **Actions → Runs** in Console.
</StepSection>
## Related Documentation
- [Triggers Usage](/actions-triggers-docs/triggers/usage) - Trigger configuration reference
- [Airtable Actions](/actions-triggers-docs/actions/airtable) - Airtable action types
- [Tools](/docs/agents/tools) - Creating agent tools
<|endoftext|>
# source: VoltAgent__voltagent/website/recipes/slack-agent-chat-sdk.md type: docs
---
id: slack-agent-chat-sdk
title: Slack Agent with Chat SDK
description: Build a Slack bot with Chat SDK transport and VoltAgent-powered responses.
hide_table_of_contents: true
---
# Slack Agent with Chat SDK
This guide shows how to run a Slack bot using:
- [Chat SDK](https://www.npmjs.com/package/chat) for Slack webhooks, thread subscriptions, and interactive actions
- VoltAgent for AI reasoning and tool calling
- Next.js route handlers for webhook hosting
- Redis for Chat SDK state persistence
:::info
Use the ready-made example: [examples/with-chat-sdk](https://github.com/voltagent/voltagent/tree/main/examples/with-chat-sdk).
:::
## 1. Create the project from example
```bash
npm create voltagent-app@latest -- --example with-chat-sdk
cd with-chat-sdk
pnpm install
```