Chat with Assistant with OpenAI (ChatGPT) API on New Submission from Typeform API

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New Submission from the Typeform API

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Chat with Assistant with the OpenAI (ChatGPT) API

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Getting Started#

This integration creates a workflow with a Typeform 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 trigger
1. Connect your Typeform account
2. Select a Form
Configure the Chat with Assistant action
1. Connect your OpenAI (ChatGPT) account
2. Configure Message
3. Optional- Select a Assistant
4. Optional- Configure Name
5. Optional- Configure Instructions
6. Optional- Select a Model
7. Optional- Configure Thread ID
8. 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 on Typeform

Description:Emit new submission

Version:0.0.8

Key:typeform-new-submission

View on GitHub

Typeform Overview#

The Typeform API furnishes you with the means to create dynamic forms and collect user responses in real-time. By leveraging this API within Pipedream's serverless platform, you can automate workflows to process this data, integrate seamlessly with other services, and react to form submissions instantaneously. This empowers you to craft tailored responses, synchronize with databases, trigger email campaigns, or even manage event registrations without manual intervention.

Trigger Code#

import { createHmac } from "crypto";
import sampleEmit from "./test-event.mjs";
import { uuid } from "uuidv4";
import common from "../common/common.mjs";
import constants from "../../constants.mjs";
import utils from "../common/utils.mjs";

const { typeform } = common.props;
const { parseIsoDate } = utils;

export default {
  ...common,
  key: "typeform-new-submission",
  name: "New Submission",
  version: "0.0.8",
  type: "source",
  description: "Emit new submission",
  props: {
    ...common.props,
    http: {
      type: "$.interface.http",
      customResponse: true,
    },
    db: "$.service.db",
    formId: {
      propDefinition: [
        typeform,
        "formId",
      ],
    },
  },
  methods: {
    ...common.methods,
    generateSecret() {
      return "" + Math.random();
    },
  },
  hooks: {
    ...common.hooks,
    async activate() {
      const secret = this.generateSecret();
      this._setSecret(secret);

      let tag = this._getTag();
      if (!tag) {
        tag = uuid();
        this._setTag(tag);
      }

      return await this.typeform.createHook({
        endpoint: this.http.endpoint,
        formId: this.formId,
        tag,
        secret,
      });
    },
    async deactivate() {
      const tag = this._getTag();

      return await this.typeform.deleteHook({
        formId: this.formId,
        tag,
      });
    },
  },
  async run(event) {
    const {
      body,
      headers,
    } = event;

    const { [constants.TYPEFORM_SIGNATURE]: typeformSignature } = headers;

    if (typeformSignature) {
      const secret = this._getSecret();

      const hmac =
        createHmac(constants.ALGORITHM, secret)
          .update(body)
          .digest(constants.ENCODING);

      const signature = `${constants.ALGORITHM}=${hmac}`;

      if (typeformSignature !== signature) {
        throw new Error("signature mismatch");
      }
    }

    let formResponseString = "";
    const data = Object.assign({}, body.form_response);
    data.form_response_parsed = {};

    for (let i = 0; i < body.form_response.answers.length; i++) {
      const field = body.form_response.definition.fields[i];
      const answer = body.form_response.answers[i];

      let parsedAnswer;
      let value = answer[answer.type];

      if (value.label) {
        parsedAnswer = value.label;

      } else if (value.labels) {
        parsedAnswer = value.labels.join();

      } else if (value.choice) {
        parsedAnswer = value.choice;

      } else if (value.choices) {
        parsedAnswer = value.choices.join();

      } else {
        parsedAnswer = value;
      }

      data.form_response_parsed[field.title] = parsedAnswer;
      formResponseString += `### ${field.title}\n${parsedAnswer}\n`;
    }

    data.form_response_string = formResponseString;
    data.raw_webhook_event = body;

    if (data.landed_at) {
      data.landed_at = parseIsoDate(data.landed_at);
    }

    if (data.submitted_at) {
      data.submitted_at = parseIsoDate(data.submitted_at);
    }

    data.form_title = body.form_response.definition.title;
    delete data.answers;
    delete data.definition;

    this.$emit(data, {
      summary: JSON.stringify(data),
      id: data.token,
    });

    this.http.respond({
      status: 200,
    });
  },
  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
Typeform	`typeform`	`app`	This component uses the Typeform 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.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
Form	`formId`	`string`	Select a value from the drop down menu.

Trigger Authentication#

Typeform uses OAuth authentication. When you connect your Typeform account, Pipedream will open a popup window where you can sign into Typeform and grant Pipedream permission to connect to your account. Pipedream securely stores and automatically refreshes the OAuth tokens so you can easily authenticate any Typeform API.

Pipedream requests the following authorization scopes when you connect your account:

offlineaccounts:readforms:writeforms:readimages:writeimages:readthemes:writethemes:readresponses:readresponses:writewebhooks:readwebhooks:writeworkspaces:readworkspaces:write

About Typeform#

Typeform lets you build no-code forms, quizzes, and surveys - and get more responses.

Action#

Chat with Assistant on OpenAI (ChatGPT)

Description:Sends a message and generates a response, storing the message history for a continuous conversation. [See the documentation](https://platform.openai.com/docs/api-reference/runs/createThreadAndRun)

Version:0.0.7

Key:openai-chat-with-assistant

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";

export default {
  ...common,
  key: "openai-chat-with-assistant",
  name: "Chat with Assistant",
  description: "Sends a message and generates a response, storing the message history for a continuous conversation. [See the documentation](https://platform.openai.com/docs/api-reference/runs/createThreadAndRun)",
  version: "0.0.7",
  type: "action",
  props: {
    openai,
    message: {
      type: "string",
      label: "Message",
      description: "The message to send",
    },
    assistantId: {
      propDefinition: [
        openai,
        "assistant",
      ],
      description: "The assistant to use. Leave blank to create a new assistant",
      optional: true,
    },
    name: {
      propDefinition: [
        openai,
        "name",
      ],
    },
    instructions: {
      propDefinition: [
        openai,
        "instructions",
      ],
    },
    model: {
      propDefinition: [
        openai,
        "assistantModel",
      ],
      optional: true,
      default: "gpt-3.5-turbo",
    },
    threadId: {
      propDefinition: [
        openai,
        "threadId",
      ],
      description: "The unique identifier for the thread. Example: `thread_abc123`. Leave blank to create a new thread. To locate the thread ID, make sure your OpenAI Threads setting (Settings -> Organization/Personal -> General -> Features and capabilities -> Threads) is set to \"Visible to organization owners\" or \"Visible to everyone\". You can then access the list of threads and click on individual threads to reveal their IDs",
      optional: true,
    },
    ...common.props,
  },
  async run({ $ }) {
    // create assistant if not provided
    let assistantId = this.assistantId;
    if (!assistantId) {
      const { id: newAssistantId } = await this.openai.createAssistant({
        $,
        data: {
          model: this.model,
          name: this.name,
          instructions: this.instructions,
          tools: this.buildTools(),
          tool_resources: this.buildToolResources(),
        },
      });
      assistantId = newAssistantId;
    }

    // create and run thread if no thread is provided
    let threadId = this.threadId;
    let run;
    if (!threadId) {
      run = await this.openai.createThreadAndRun({
        $,
        data: {
          assistant_id: assistantId,
          thread: {
            messages: [
              {
                role: "user",
                content: this.message,
              },
            ],
          },
          model: this.model,
          instructions: this.instructions,
          tools: this.buildTools(),
          tool_resources: this.buildToolResources(),
        },
      });
      threadId = run.thread_id;
    } else {
      // create run for thread if threadId is provided
      run = await this.openai.createRun({
        $,
        threadId: this.threadId,
        data: {
          assistant_id: assistantId,
          model: this.model,
          instructions: this.instructions,
          tools: this.buildTools(),
          tool_resources: this.buildToolResources(),
          additional_messages: [
            {
              role: "user",
              content: this.message,
            },
          ],
        },
      });
    }
    const runId = run.id;

    run = await this.pollRunUntilCompleted(run, threadId, runId, $);

    // get response;
    const { data: messages } = await this.openai.listMessages({
      $,
      threadId,
      params: {
        order: "desc",
      },
    });
    const response = messages[0].content[0].text.value;
    return {
      response,
      messages,
      run,
    };
  },
};

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.
Message	`message`	`string`	The message to send
Assistant	`assistantId`	`string`	Select a value from the drop down menu.
Name	`name`	`string`	The name of the assistant.
Instructions	`instructions`	`string`	The system instructions that the assistant uses.
Model	`model`	`string`	Select a value from the drop down menu.
Thread ID	`threadId`	`string`	The unique identifier for the thread. Example: `thread_abc123`. Leave blank to create a new thread. To locate the thread ID, make sure your OpenAI Threads setting (Settings -> Organization/Personal -> General -> Features and capabilities -> Threads) is set to "Visible to organization owners" or "Visible to everyone". You can then access the list of threads and click on individual threads to reveal their IDs
Tool Types	`toolTypes`	`string[]`	Select a value from the drop down menu:`code_interpreterfile_searchfunction`

Chat with Assistant with OpenAI (ChatGPT) API on New Submission from Typeform API

Pipedream makes it easy to connect APIs for OpenAI (ChatGPT), Typeform 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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