← ChatBotKit

Create Conversation with ChatBotKit API

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Create Conversation with the ChatBotKit API
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Getting Started

Create a workflow to Create Conversation with the ChatBotKit API. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

  1. Configure the Create Conversation action
    1. Connect your ChatBotKit account
    2. Select a Message Type
    3. Configure Message
    4. Optional- Select a Bot ID
    5. Optional- Configure Backstory
    6. Optional- Select a Model
    7. Optional- Select a Dataset ID
    8. Optional- Select a Skillset ID
    9. Optional- Configure Privacy
    10. Optional- Configure Moderation
  2. Select a trigger to run your workflow on HTTP requests, schedules or app events
  3. Deploy the workflow
  4. Send a test event to validate your setup
  5. Turn on the trigger

Integrations

Create Conversation with ChatBotKit API on New Requests (Payload Only) from HTTP / Webhook API
HTTP / Webhook + ChatBotKit
 
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Create Conversation with ChatBotKit API on New Submission from Typeform API
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Create Conversation with ChatBotKit API on Custom Events from Zoom API
Zoom + ChatBotKit
 
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Create Conversation with ChatBotKit API on New Submission (Instant) from Jotform API
Jotform + ChatBotKit
 
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Create Conversation with ChatBotKit API on New Scheduled Tasks from Pipedream API
Pipedream + ChatBotKit
 
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Details

This is a pre-built, source-available component from Pipedream's GitHub repo. The component is developed by Pipedream and the community, and verified and maintained by Pipedream.

To contribute an update to an existing component or create a new component, create a PR on GitHub. If you're new to Pipedream component development, you can start with quickstarts for trigger span and action development, and then review the component API reference.

Create Conversation on ChatBotKit
Description:Creates a new conversation in the bot. [See the documentation](https://chatbotkit.com/docs/api/v1/spec)
Version:0.0.1
Key:chatbotkit-create-conversation

Code

import chatbotkit from "../../chatbotkit.app.mjs";
import constants from "../../common/constants.mjs";
import { ConfigurationError } from "@pipedream/platform";

export default {
  key: "chatbotkit-create-conversation",
  name: "Create Conversation",
  description: "Creates a new conversation in the bot. [See the documentation](https://chatbotkit.com/docs/api/v1/spec)",
  version: "0.0.1",
  type: "action",
  props: {
    chatbotkit,
    messageType: {
      type: "string",
      label: "Message Type",
      description: "The type of the message",
      options: constants.MESSAGE_TYPE,
    },
    message: {
      propDefinition: [
        chatbotkit,
        "message",
      ],
    },
    botId: {
      propDefinition: [
        chatbotkit,
        "botId",
      ],
      optional: true,
    },
    backstory: {
      type: "string",
      label: "Backstory",
      description: "The backstory for the conversation",
      optional: true,
    },
    model: {
      propDefinition: [
        chatbotkit,
        "model",
      ],
      optional: true,
    },
    datasetId: {
      propDefinition: [
        chatbotkit,
        "datasetId",
      ],
      optional: true,
    },
    skillsetId: {
      propDefinition: [
        chatbotkit,
        "skillsetId",
      ],
      optional: true,
    },
    privacy: {
      type: "boolean",
      label: "Privacy",
      description: "Turn conversation privacy features on",
      optional: true,
    },
    moderation: {
      type: "boolean",
      label: "Moderation",
      description: "Turn conversation moderation features on",
      optional: true,
    },
  },
  async run({ $ }) {
    if (this.botId && (this.datasetId || this.skillsetId)) {
      throw new ConfigurationError("Dataset ID & Skillset ID not for use with Bot ID.");
    }
    const conversation = await this.chatbotkit.createConversation({
      data: {
        botId: this.botId,
        backstory: this.backstory,
        model: this.model,
        datasetId: this.datasetId,
        skillsetId: this.skillsetId,
        privacy: this.privacy,
        moderation: this.moderation,
        messages: [
          {
            type: this.messageType,
            text: this.message,
          },
        ],
      },
      $,
    });
    $.export("$summary", `Created conversation with ID: ${conversation.id}`);
    return conversation;
  },
};

Configuration

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI and CLI.
LabelPropTypeDescription
ChatBotKitchatbotkitappThis component uses the ChatBotKit app.
Message TypemessageTypestringSelect a value from the drop down menu:userbotcontextinstructionbackstory
Messagemessagestring

The text of the message

Bot IDbotIdstringSelect a value from the drop down menu.
Backstorybackstorystring

The backstory for the conversation

ModelmodelstringSelect a value from the drop down menu.
Dataset IDdatasetIdstringSelect a value from the drop down menu.
Skillset IDskillsetIdstringSelect a value from the drop down menu.
Privacyprivacyboolean

Turn conversation privacy features on

Moderationmoderationboolean

Turn conversation moderation features on

Authentication

ChatBotKit uses API keys for authentication. When you connect your ChatBotKit account, Pipedream securely stores the keys so you can easily authenticate to ChatBotKit APIs in both code and no-code steps.

About ChatBotKit

ChatBotKit helps you create conversational AI chatbots with your own data to communicate naturally with users on your website, Slack, Discord and WhatsApp.

More Ways to Use ChatBotKit

Actions

Import Dataset with the ChatBotKit API

Imports a specified file into the bot's dataset. See the documentation

 
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Send Conversation Message with the ChatBotKit API

Send and receive a conversation response. See the documentation

 
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