Create Thread (Assistants) with OpenAI (ChatGPT) API on New Submission (Instant) from Jotform API

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New Submission (Instant) from the Jotform API

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Create Thread (Assistants) with the OpenAI (ChatGPT) API

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Getting Started#

This integration creates a workflow with a Jotform trigger and OpenAI (ChatGPT) action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Select this integration
Configure the New Submission (Instant) trigger
1. Connect your Jotform account
2. Optional- Select a Team
3. Select a Form
Configure the Create Thread (Assistants) action
1. Connect your OpenAI (ChatGPT) account
2. Optional- Configure Messages
3. Optional- Configure Metadata
4. Optional- Configure Run Thread
5. Optional- Select one or more Tool Types
Deploy the workflow
Send a test event to validate your setup
Turn on the trigger

Details#

This integration uses pre-built, source-available components from Pipedream's GitHub repo. These components are 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.

Trigger#

New Submission (Instant) on Jotform

Description:Emit new event when a form is submitted

Version:0.1.5

Key:jotform-new-submission

View on GitHub

Jotform Overview#

Jotform’s API is a powerhouse for automating form and survey data management. With Pipedream, harness this API to trigger workflows from new form submissions, manipulate and analyze your form data, and sync it across various platforms. Think streamlined data entry to CRMs, instant notifications for new leads or feedback, and timely data backups to cloud storage.

Trigger Code#

import jotform from "../../jotform.app.mjs";
import sampleEmit from "./test-event.mjs";

export default {
  key: "jotform-new-submission",
  name: "New Submission (Instant)",
  description: "Emit new event when a form is submitted",
  version: "0.1.5",
  type: "source",
  dedupe: "unique",
  props: {
    jotform,
    http: "$.interface.http",
    teamId: {
      propDefinition: [
        jotform,
        "teamId",
      ],
    },
    formId: {
      propDefinition: [
        jotform,
        "formId",
        (c) => ({
          teamId: c.teamId,
          excludeDeleted: true,
        }),
      ],
    },
  },
  hooks: {
    async deploy() {
      const { content: form } = await this.jotform.getForm(this.formId, this.teamId);
      const { content: submissions } = await this.jotform.getFormSubmissions({
        formId: this.formId,
        teamId: this.teamId,
        params: {
          limit: 25,
          orderby: "created_at",
        },
      });
      for (let submission of submissions.reverse()) {
        const meta = {
          id: submission.id,
          summary: form.title,
          ts: Date.now(),
        };
        this.$emit(submission, meta);
      }
    },
    async activate() {
      return (await this.jotform.createHook({
        endpoint: this.http.endpoint,
        formId: this.formId,
        teamId: this.teamId,
      }));
    },
    async deactivate() {
      return (await this.jotform.deleteHook({
        endpoint: this.http.endpoint,
        formId: this.formId,
        teamId: this.teamId,
      }));
    },
  },
  async run(event) {
    const { body } = event;
    let { content: submission } = await this.jotform.getFormSubmission({
      submissionId: body.submissionID,
      teamId: this.teamId,
    });

    // insert answers from the webhook event
    const rawRequest = JSON.parse(body.rawRequest);
    for (const key of Object.keys(rawRequest)) {
      const regex = /^q(\d+)_/;
      const match = key.match(regex);
      if (match && match[1]) {
        submission.answers[match[1]].answer = rawRequest[key];
      }
    }

    this.$emit(submission, {
      summary: body.formTitle || JSON.stringify(body),
      id: body.submissionID,
      ts: Date.now(),
    });
  },
  sampleEmit,
};

Trigger 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
Jotform	`jotform`	`app`	This component uses the Jotform app.
N/A	`http`	`$.interface.http`	This component uses `$.interface.http` to generate a unique URL when the component is first instantiated. Each request to the URL will trigger the `run()` method of the component.
Team	`teamId`	`string`	Select a value from the drop down menu.
Form	`formId`	`string`	Select a value from the drop down menu.

Trigger Authentication#

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

About Jotform#

Jotform enables you to create online forms, collect responses directly in your email, and create fillable PDF forms.

Action#

Create Thread (Assistants) on OpenAI (ChatGPT)

Description:Creates a thread with optional messages and metadata, and optionally runs the thread using the specified assistant. [See the documentation](https://platform.openai.com/docs/api-reference/threads/createThread)

Version:0.0.11

Key:openai-create-thread

View on GitHub

OpenAI (ChatGPT) Overview#

OpenAI provides a suite of powerful AI models through its API, enabling developers to integrate advanced natural language processing and generative capabilities into their applications. Here’s an overview of the services offered by OpenAI's API:

Use Python or Node.js code to make fully authenticated API requests with your OpenAI account:

Action Code#

import openai from "../../openai.app.mjs";
import common from "../common/common-assistants.mjs";
import constants from "../../common/constants.mjs";

export default {
  key: "openai-create-thread",
  name: "Create Thread (Assistants)",
  description: "Creates a thread with optional messages and metadata, and optionally runs the thread using the specified assistant. [See the documentation](https://platform.openai.com/docs/api-reference/threads/createThread)",
  version: "0.0.11",
  type: "action",
  props: {
    openai,
    messages: {
      propDefinition: [
        openai,
        "messages",
      ],
      optional: true,
    },
    metadata: {
      propDefinition: [
        openai,
        "metadata",
      ],
      optional: true,
    },
    runThread: {
      type: "boolean",
      label: "Run Thread",
      description: "Set to `true` to run the thread after creation",
      optional: true,
      reloadProps: true,
    },
    toolTypes: {
      type: "string[]",
      label: "Tool Types",
      description: "The types of tools to enable on the assistant",
      options: constants.TOOL_TYPES.filter((type) => type !== "function"),
      optional: true,
      reloadProps: true,
    },
  },
  async additionalProps() {
    const props = {};
    if (this.runThread) {
      props.assistantId = {
        type: "string",
        label: "Assistant ID",
        description: "The unique identifier for the assistant.",
        options: async () => { return this.getAssistantPropOptions(); },
      };
      props.model = {
        type: "string",
        label: "Model",
        description: "The ID of the model to use for the assistant",
        options: async () => { return this.getAssistantModelPropOptions(); },
      };
      props.instructions = {
        type: "string",
        label: "Instructions",
        description: "The system instructions that the assistant uses.",
        optional: true,
      };
      props.waitForCompletion = {
        type: "boolean",
        label: "Wait For Completion",
        description: "Set to `true` to poll the API in 3-second intervals until the run is completed",
        optional: true,
      };
    }
    const toolProps = this.toolTypes?.length
      ? await this.getToolProps()
      : {};
    return {
      ...props,
      ...toolProps,
    };
  },
  methods: {
    ...common.methods,
    async getAssistantPropOptions() {
      const { data } = await this.openai.listAssistants();
      return data.map(({
        name, id,
      }) => ({
        label: name || id,
        value: id,
      }));
    },
    async getAssistantModelPropOptions() {
      const models = (await this.openai.models({})).filter(({ id }) => (id.includes("gpt-3.5-turbo") || id.includes("gpt-4-turbo")) && (id !== "gpt-3.5-turbo-0301"));
      return models.map(({ id }) => id);
    },
  },
  async run({ $ }) {
    const messages = this.messages?.length
      ? this.messages.map((message) => ({
        role: "user",
        content: message,
      }))
      : undefined;
    let response = !this.runThread
      ? await this.openai.createThread({
        $,
        data: {
          messages,
          metadata: this.metadata,
          tool_resources: this.buildToolResources(),
        },
      })
      : await this.openai.createThreadAndRun({
        $,
        data: {
          assistant_id: this.assistantId,
          thread: {
            messages,
            metadata: this.metadata,
          },
          model: this.model,
          instructions: this.instructions,
          tools: this.buildTools(),
          tool_resources: this.buildToolResources(),
          metadata: this.metadata,
        },
      });

    if (this.waitForCompletion) {
      const runId = response.id;
      const threadId = response.thread_id;
      response = await this.pollRunUntilCompleted(response, threadId, runId, $);
    }

    $.export("$summary", `Successfully created a thread ${this.runThread
      ? "and run"
      : ""} with ID: ${response.id}`);
    return response;
  },
};

Action Configuration#

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI.

Label	Prop	Type	Description
OpenAI (ChatGPT)	`openai`	`app`	This component uses the OpenAI (ChatGPT) app.
Messages	`messages`	`string[]`	An array of messages to start the thread with.
Metadata	`metadata`	`object`	Set of 16 key-value pairs that can be attached to an object. This can be useful for storing additional information about the object in a structured format. Keys can be a maximum of 64 characters long and values can be a maxium of 512 characters long.
Run Thread	`runThread`	`boolean`	Set to `true` to run the thread after creation
Tool Types	`toolTypes`	`string[]`	Select a value from the drop down menu:`code_interpreterfile_search`

Action Authentication#

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

About OpenAI (ChatGPT)#

OpenAI is an AI research and deployment company with the mission to ensure that artificial general intelligence benefits all of humanity. They are the makers of popular models like ChatGPT, DALL-E, and Whisper.

More Ways to Connect OpenAI (ChatGPT) + Jotform#

Other Popular Integrations#

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Pipedream makes it easy to connect APIs for OpenAI (ChatGPT), Jotform and 2,400+ other apps remarkably fast.

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Developers ♥ Pipedream

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