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Create Chat Session with gpt-trainer API

Pipedream makes it easy to connect APIs for gpt-trainer and 2,400+ other apps remarkably fast.

Trigger workflow on

HTTP requests, schedules and app events

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Create Chat Session with the gpt-trainer API

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Getting Started#

Create a workflow to Create Chat Session with the gpt-trainer API. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Configure the Create Chat Session action
1. Connect your gpt-trainer account
2. Select a Chatbot UUID
Select a trigger to run your workflow on HTTP requests, schedules or app events
Deploy the workflow
Send a test event to validate your setup
Turn on the trigger

Integrations#

Create Chat Session with gpt-trainer API on New Requests (Payload Only) from HTTP / Webhook API

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Pipedream + gpt-trainer

Create Chat Session with gpt-trainer API on npm Download Counts from npm API

npm + gpt-trainer

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 Chat Session on gpt-trainer

Description:Create a chat session for a chatbot specified by chatbot UUID. [See the documentation](https://guide.gpt-trainer.com/api-reference/sessions/create)

Version:0.0.1

Key:gpt_trainer-create-session

Code#

import app from "../../gpt_trainer.app.mjs";

export default {
  key: "gpt_trainer-create-session",
  name: "Create Chat Session",
  description: "Create a chat session for a chatbot specified by chatbot UUID. [See the documentation](https://guide.gpt-trainer.com/api-reference/sessions/create)",
  version: "0.0.1",
  type: "action",
  props: {
    app,
    uuid: {
      propDefinition: [
        app,
        "chatbotUuid",
      ],
    },
  },
  methods: {
    createChatSession({
      uuid, ...args
    } = {}) {
      return this.app.post({
        path: `/chatbot/${uuid}/session/create`,
        ...args,
      });
    },
  },
  async run({ $ }) {
    const {
      createChatSession,
      uuid,
    } = this;

    const response = await createChatSession({
      $,
      uuid,
    });

    $.export("$summary", `Successfully created chat session with UUID \`${response.uuid}\``);
    return response;
  },
};

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.

Label	Prop	Type	Description
gpt-trainer	`app`	`app`	This component uses the gpt-trainer app.
Chatbot UUID	`uuid`	`string`	Select a value from the drop down menu.

Authentication#

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

About gpt-trainer#

Create a personalized AI chatbot using your own data

More Ways to Use gpt-trainer#

Actions#

Create Chatbot with the gpt-trainer API

Creates a new chatbot that belongs to the authenticated user. See the documentation

Create Message with the gpt-trainer API

Create a session message for a chatbot session specified by session UUID. See the documentation

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