Sendbird's AI Chatbot enables businesses to integrate intelligent, automated conversational agents into their applications, enhancing customer engagement and support.
Sendbird's AI Chatbot enables businesses to integrate intelligent, automated conversational agents into their applications, enhancing customer engagement and support. On Nagent, Sendbird AI Chatbot is exposed as a fully-configurable ai chatbots integration that any agent can call — 6 actions, and API key authentication. No code is required to wire Sendbird AI Chatbot into your workflow — connect it once via the External Integrations panel and reuse it across every agent you build.
Agent builders use Sendbird AI Chatbot to automate the kinds of tasks ai chatbots teams previously handled manually. Concrete examples — each one is a single agent step in Nagent — include:
Every action and trigger is paired with a structured input/output schema (visible in the sections below), so when you wire Sendbird AI Chatbot into Helix — our agentic agent builder — the editor knows exactly what each step expects and produces. Configure once, deploy anywhere across your Nagent agents.
Every operation an agent can call against Sendbird AI Chatbot, with input parameters and output schema. Drop these into any step of an agent built in Helix.
SENDBIRD_AI_CHABOT_CREATE_BOTTool to create a new bot. Use when you need to add an AI or default bot to your Sendbird app.
Input parameters
Type of the bot
Unique ID for the bot, maximum 80 characters
Nickname for the bot, maximum 80 characters
Profile image URL for the bot
Whether the bot operates in privacy mode
Callback URL for the bot’s webhook events
Whether the bot marks messages as read automatically
Channel invitation handling options for the bot. 0 = disable auto accept, 1 = auto accept
Output
Data from the action execution
Error if any occurred during the execution of the action
Whether or not the action execution was successful or not
SENDBIRD_AI_CHABOT_GET_BOTTool to retrieve information on a specific bot by its user ID. Use when you need to fetch bot details before performing subsequent operations.
Input parameters
The unique user ID of the bot to retrieve.
Output
Data from the action execution
Error if any occurred during the execution of the action
Whether or not the action execution was successful or not
SENDBIRD_AI_CHABOT_LIST_BOTSTool to list all bots in the Sendbird application. Use when you need to fetch bot details with optional filters and pagination.
Input parameters
Number of results to return per page (1–100). Defaults to 10 if omitted.
Pagination token for a paginated result.
Filter results by a specific bot ID.
Output
Data from the action execution
Error if any occurred during the execution of the action
Whether or not the action execution was successful or not
SENDBIRD_AI_CHABOT_LIST_GROUP_CHANNELSTool to list group channels. Use when you need to fetch available group channels with filters and pagination.
Input parameters
Filter by channel URL.
Filter by exact channel name.
Number of results to return per page (1-100).
Pagination token for the next page.
Query type to combine member_user_ids: AND or OR.
Include channels with no messages.
Filter by super channel mode: all, super, or nonsuper.
Filter by a specific custom type.
Filter by public mode: all, public, or private.
Filter by specific channel URLs.
Filter by multiple custom types.
Filter channels created after this timestamp (ms since epoch).
Filter by distinct mode: all, distinct, or nondistinct.
Filter by partial channel name match.
Filter channels created before this timestamp (ms since epoch).
Filter by members' user IDs.
Filter by members' nickname.
Filter channels where exactly these user IDs are members.
Filter channels including any of these user IDs.
Filter by members' nickname prefix.
Output
Data from the action execution
Error if any occurred during the execution of the action
Whether or not the action execution was successful or not
SENDBIRD_AI_CHABOT_UNREGISTER_BOT_WEBHOOKTool to unregister the webhook URL for a bot. Use when you need to remove webhook configuration for a specific bot.
Input parameters
Unique ID of the bot whose webhook will be unregistered.
Output
Data from the action execution
Error if any occurred during the execution of the action
Whether or not the action execution was successful or not
SENDBIRD_AI_CHABOT_UPDATE_BOTTool to update information on an existing bot. Use when you need to change a bot's user ID, nickname, profile image URL, or toggle read-receipt or privacy settings after creation. Run after confirming the bot ID.
Input parameters
The unique ID of the bot to update
Specifies a new user ID for the bot
Specifies a new nickname for the bot
Specifies a new profile image URL for the bot
Determines bot privacy mode
Determines whether the bot marks messages as read
Output
Data from the action execution
Error if any occurred during the execution of the action
Whether or not the action execution was successful or not
No publicly available marketplace agent is found using this tool yet. There are 48 agents privately built on Nagent that already use Sendbird AI Chatbot.
Build on Nagent
Connect Sendbird AI Chatbot to any Nagent agent in minutes — no API key management, no boilerplate. Just configure and deploy.
The five questions agent builders ask before adopting a new integration.
Open the External Integrations panel inside Nagent (app.nagent.ai/externalIntegration), find Sendbird AI Chatbot, and click "Connect Now." You'll authenticate with an API key — Nagent handles credential storage and refresh automatically. Once connected, Sendbird AI Chatbot is available to any agent in your workspace.
No. Nagent provides no-code integration for every tool. Once Sendbird AI Chatbot is connected, you configure its 6 actions directly in the agent builder UI — no API calls, no boilerplate, no schema management.
Helix — Nagent's agentic agent builder — lets you drop Sendbird AI Chatbot steps into any workflow visually. Pick an action (e.g., one of those listed above), fill in the inputs (Helix knows the required vs. optional schema for each parameter), and connect it to upstream/downstream steps. Triggers run as the entry point of an agent, so when a Sendbird AI Chatbot event fires, the agent kicks off automatically.
Every Sendbird AI Chatbot action and trigger ships with a fully-typed schema — input parameters with name, type, required flag, and description, plus the output payload shape. The schemas are documented in the sections above. Helix uses these schemas to validate your configuration at build time and to type-check the data flowing between steps.
Yes. While Sendbird AI Chatbot ships with 6 pre-built ai chatbots actions, you can layer custom logic around them inside Helix — pre/post-processing steps, conditional branches, retries, or stitching Sendbird AI Chatbot together with other connected tools. For deeper customization, talk to our team about Nagent's Agentic AI Lab — forward-deployed engineers who build Sendbird AI Chatbot-based workflows tailored to your business.