Sendbird AI Chatbot

Orchestrate Sendbird AI bots from a unified agent platform

Managing chatbot deployments across your application requires constant configuration. Your AI agent creates Sendbird bots, updates their settings, manages channel assignments, and configures webhooks programmatically. Bot lifecycle management that happens through conversation, not dashboards.

Chosen by 800+ global brands across industries

Bot management made conversational

Your AI agent handles the full lifecycle of Sendbird AI chatbots, from creation and configuration to webhook management and channel oversight.

Sendbird AI Chatbot

Use Cases

Chatbot operations at enterprise scale

How platform teams use AI agents to manage fleets of Sendbird chatbots across multiple products, channels, and customer segments.

Rapid Bot Deployment for New Product Lines

A product team is launching a new feature and needs a dedicated support bot. Through a conversation with the Tars agent, they specify the bot name, profile image, and callback URL. Your AI Agent creates the Sendbird bot, configures its webhook for event notifications, and confirms deployment. The product team has a functioning bot in their channel within minutes, bypassing the usual multi-step dashboard workflow.

Fleet-Wide Bot Configuration Updates

The operations team decides all support bots should enable read receipts and disable privacy mode for better analytics. Your AI Agent lists all deployed bots, iterates through each one, and updates the mark-as-read and privacy settings. A fleet-wide configuration change that would take an engineer hours of dashboard navigation gets completed through a single conversation.

Automated Channel Inventory and Cleanup

Over months of operation, dozens of empty or inactive group channels accumulate. Your AI Agent queries Sendbird for channels with no recent messages, filters by creation date and member count, and presents a cleanup report. The team reviews and approves, and the agent handles the housekeeping. Channel sprawl managed without manual auditing.

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Sendbird AI Chatbot

Sendbird AI Chatbot

FAQs

Frequently Asked Questions

How does the AI agent create a new Sendbird bot?

The agent calls the Create Bot endpoint with required fields: bot user ID (unique, max 80 characters) and bot nickname. Optional parameters include bot type (defaults to AI), callback URL for webhooks, profile image URL, channel invitation preference, mark-as-read toggle, and privacy mode setting. The bot is created instantly.

Can the agent manage multiple bots across different product channels?

Yes. The agent can list all bots in your application, filter by bot ID, and manage each independently. It retrieves, updates, or configures webhooks for any bot by specifying its unique user ID. Multi-bot environments are fully supported through paginated listing and per-bot operations.

What happens when the agent updates a bot's webhook URL?

The agent calls the Update Bot Webhook endpoint with the new URL and an enable/disable toggle. Once updated, the bot starts forwarding events to the new endpoint immediately. You can also unregister a webhook entirely if the bot no longer needs external event notifications.

Does Tars store bot credentials or conversation data from Sendbird?

Tars stores only the Application ID and API Token you provide for authentication. Bot configurations, channel data, and conversation content remain in Sendbird. The agent fetches data on demand during each interaction and does not maintain a separate copy.

Can the agent filter group channels by specific members?

Yes. The List Group Channels endpoint supports filtering by member user IDs, exact member sets, partial member inclusion, member nicknames, and nickname prefixes. The agent can also filter by channel name, custom type, creation date range, public/private mode, and distinct mode.

What is privacy mode and how does the agent control it?

Privacy mode determines whether the bot can access all messages in a channel or only those directed at it. When enabled, the bot receives only messages that mention it. The agent toggles this setting through the Update Bot endpoint, letting you control data access granularity.

How is this different from managing bots in the Sendbird dashboard?

The dashboard requires manual navigation for each bot operation. Through Tars, your team manages bots via natural language requests. The agent can batch operations like updating settings across all bots, creating multiple bots for a new product launch, or auditing channel assignments, all in one conversation.

What authentication credentials are needed for the integration?

You need your Sendbird Application ID and an API Token. The Application ID identifies your Sendbird app and constructs the API base URL. The API Token authenticates requests. Both are found in the Sendbird Dashboard under your application's settings page.

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Privacy & Security

We’ll never let you lose sleep over privacy and security concerns

At Tars, we take privacy and security very seriously. We are compliant with GDPR, ISO, SOC 2, and HIPAA.

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