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Chatbotkit

Syncs chatbot conversations into your CRM, automates bot configuration across multiple environments, and monitors user interactions to refine AI responses in real time.

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Why use Ceven?

  1. AI native Chatbotkit integration

    • Describe the outcome and Ceven picks the right Chatbotkit calls, fills the parameters, and checks the result.
    • Structured, agent friendly tool schemas so each call runs reliably instead of by guesswork.
    • Rich coverage for reading, writing, and querying your Chatbotkit data, across all 284 of its actions.

  2. Managed auth

    • Built in OAuth with automatic token refresh and rotation.
    • One place to manage, scope, and revoke Chatbotkit access.
    • Per user and per environment credentials instead of shared keys.

  3. Agent optimized design

    • Actions are tuned from real success and error rates so reliability climbs over time.
    • Full execution logs so you always know what ran in Chatbotkit, when, and on whose behalf.
    • The agent pauses and asks when Chatbotkit is unclear instead of plowing ahead.

  4. Enterprise grade security

    • Fine grained access so you control which agents and people can reach Chatbotkit.
    • Least privilege by default, read scopes first and only the writes a workflow needs.
    • A full audit trail of every Chatbotkit action to support review and sign off.

Supported tools

Every action Ceven's agents can run on Chatbotkit, and when to use it.

Complete Conversation
Use this to send a message to a conversation and get the bot reply. Requires a conversation id.
Create Integration
Set up a new support channel integration for a bot after collecting the necessary integration details.
Create Skillset
Group multiple skills into a single reusable unit to standardize bot behavior across different deployments.
List Bots
Retrieve a paginated list of all bots. Use this to browse or manage multiple bots via cursor pagination.
List conversation messages
Fetch messages within a specific conversation page by page using a conversation id.
List Conversations
Retrieve a paginated list of all conversations to review history or analyze user trends.
List Datasets
Browse or paginate through available datasets used for bot grounding and knowledge retrieval.
List Integrations
Retrieve a list of trigger integrations to manage how the bot connects to external channels.
List Partners
View or manage all partner sub accounts associated with the main account umbrella.
List Skillsets
Enumerate all existing skillsets available in the system to check for duplicates or missing capabilities.
List Tokens
Retrieve a list of all API tokens to audit access or rotate credentials for security.
Search Conversations
Query conversation records based on user ID or specific keywords to find historical interactions.

12 actions · scroll to see them all

Frequently asked questions

Ceven uses cursor based pagination for all ChatBotKit list endpoints. When an agent requests a list of bots or conversations, it automatically detects the presence of a next cursor in the response. If the requested data spans multiple pages, the agent will perform sequential calls in the background to gather the full set of results before presenting them to you. You do not need to manually specify page numbers or offsets. This ensures that your reports on conversation volume or bot performance are accurate even if you have thousands of records in your account.
Yes. Ceven can use the Create Skillset tool to group specific capabilities and apply them to your bots. You can build a workflow where a change in your product documentation triggers the agent to create a new skillset or update an existing one. This allows your bots to stay current with your latest features without a developer needing to manually adjust the API settings every time a small change occurs. The agent handles the mapping of skills to the skillset and ensures the configuration is pushed to the correct bot ID.
ChatBotKit enforces rate limits based on your subscription tier. If a Ceven workflow triggers a massive batch of requests, such as listing every message in thousands of conversations, you may encounter a 429 Too Many Requests error. Ceven handles this by implementing an exponential backoff strategy, meaning the agent will pause and retry the request automatically. However, for extremely large datasets, we recommend scheduling these tasks during off peak hours or filtering your requests by date to reduce the total number of API calls required per run.
Yes. By utilizing the List Partners tool, Ceven can identify all sub accounts under your main partner umbrella. You can build workflows that iterate through these partner accounts to perform bulk updates, such as updating a specific bot configuration or auditing API tokens across all clients. The agent manages the context of which partner account it is currently operating within, allowing you to manage a fleet of chatbots for different customers from a single centralized Ceven dashboard without switching API keys manually.
Ceven treats your ChatBotKit API tokens as highly sensitive secrets. We store them using AES 256 encryption at rest and they are never logged in plain text within our internal systems. When a workflow requires a call to ChatBotKit, the token is decrypted in a secure memory space and passed in the authorization header of the HTTPS request. The model itself never sees the raw token; it only sees the tool definitions and the resulting data. You can rotate your tokens at any time in ChatBotKit and update them in the Ceven connection settings.
Ceven can poll the List Conversations endpoint to find new interactions, but for real time responses, you should set up a webhook from ChatBotKit to a Ceven trigger URL. Once the webhook receives the event, it kicks off the assigned workflow. This allows the agent to act immediately when a user sends a message, such as by looking up the user in your database and providing the bot with a personalized context snippet via the Complete Conversation tool to make the AI response feel more human and informed.
The limit is primarily governed by the ChatBotKit API response size and the context window of the LLM used by Ceven. When listing datasets, Ceven handles the pagination to ensure all items are seen. However, if a single dataset contains an enormous amount of text, the agent will summarize the content or retrieve only the most relevant chunks using semantic search. This prevents the workflow from crashing due to memory limits and ensures that the agent remains focused on the most pertinent information when answering your queries.
Yes. Use the Create Integration tool to connect your bot to various support channels. You will need to provide the specific integration details required by the channel, such as API keys or webhook secrets from the third party provider. Ceven can automate this process by pulling those credentials from your secret manager and pushing them to ChatBotKit. This is particularly useful for agencies that deploy bots for many clients and want to standardize the integration process across different messaging platforms without doing it by hand.

Alternatives to Chatbotkit

Other tools that solve a similar problem. Ceven supports these too, so you can switch or run more than one at once.

Voiceflow logoVoiceflowBotpress logoBotpressLandbot logoLandbot

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