← Typeform + OpenAI (ChatGPT) integrations

Chat 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 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.

  1. Select this integration
  2. Configure the New Submission trigger
    1. Connect your Typeform account
    2. Select a Form
  3. Configure the Chat action
    1. Connect your OpenAI (ChatGPT) account
    2. Select a Model
    3. Configure User Message
    4. Optional- Configure System Instructions
    5. Optional- Configure Prior Message History
    6. Optional- Configure Images
    7. Optional- Select a Response Format
    8. Optional- Configure Max Tokens
    9. Optional- Configure Temperature
    10. Optional- Configure Top P
    11. Optional- Configure N
    12. Optional- Configure Stop
    13. Optional- Configure Presence Penalty
    14. Optional- Configure Frequency Penalty
    15. Optional- Configure User
  4. Deploy the workflow
  5. Send a test event to validate your setup
  6. 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

Description:Emit new submission
Version:0.0.8
Key:typeform-new-submission

Typeform Overview

With the Typeform API, you can easily create beautiful, interactive forms that
allow people to share their information with you in an engaging way. Here are
some examples of what you can build with the Typeform API:

  • A contact form for your website that allows people to easily get in touch
    with you
  • An order form for your product or service that allows people to place orders
    easily and securely
  • A survey form that allows you to collect data and feedback from people
  • A registration form for your event or conference that allows people to sign
    up easily and securely

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.
LabelPropTypeDescription
TypeformtypeformappThis component uses the Typeform app.
N/Ahttp$.interface.httpThis component uses $.interface.http to generate a unique URL when the component is first instantiated. Each request to the URL will trigger the run() method of the component.
N/Adb$.service.dbThis component uses $.service.db to maintain state between executions.
FormformIdstringSelect 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

People-Friendly Forms and Surveys

Action

Description:The Chat API, using the `gpt-3.5-turbo` or `gpt-4` model. [See docs here](https://platform.openai.com/docs/api-reference/chat)
Version:0.1.7
Key:openai-chat

OpenAI (ChatGPT) Overview

The OpenAI API is a powerful tool that provides access to a range of
high-powered machine learning models. With the OpenAI API, developers can
create products, services, and tools that enable humanizing AI experiences, and
build applications that extend the power of human language.

Using the OpenAI API, developers can create language-driven applications such
as:

  • Natural language understanding and sentiment analysis
  • Text-based search
  • Question answering
  • Dialogue systems and conversation agents
  • Intelligent text completion
  • Text summarization
  • Text classification
  • Machine translation
  • Language generation
  • Multi-factor authentication
  • Anomaly detection
  • Text analysis

Action Code

import openai from "../../openai.app.mjs";
import common from "../common/common.mjs";

export default {
  ...common,
  name: "Chat",
  version: "0.1.7",
  key: "openai-chat",
  description: "The Chat API, using the `gpt-3.5-turbo` or `gpt-4` model. [See docs here](https://platform.openai.com/docs/api-reference/chat)",
  type: "action",
  props: {
    openai,
    modelId: {
      propDefinition: [
        openai,
        "chatCompletionModelId",
      ],
    },
    userMessage: {
      label: "User Message",
      type: "string",
      description: "The user messages provide instructions to the assistant. They can be generated by the end users of an application, or set by a developer as an instruction.",
    },
    systemInstructions: {
      label: "System Instructions",
      type: "string",
      description: "The system message helps set the behavior of the assistant. For example: \"You are a helpful assistant.\" [See these docs](https://platform.openai.com/docs/guides/chat/instructing-chat-models) for tips on writing good instructions.",
      optional: true,
    },
    messages: {
      label: "Prior Message History",
      type: "string[]",
      description: "_Advanced_. Because [the models have no memory of past chat requests](https://platform.openai.com/docs/guides/chat/introduction), all relevant information must be supplied via the conversation. You can provide [an array of messages](https://platform.openai.com/docs/guides/chat/introduction) from prior conversations here. If this param is set, the action ignores the values passed to **System Instructions** and **Assistant Response**, appends the new **User Message** to the end of this array, and sends it to the API.",
      optional: true,
    },
    images: {
      label: "Images",
      type: "string[]",
      description: "Provide one or more images to [OpenAI's vision model](https://platform.openai.com/docs/guides/vision). Accepts URLs or base64 encoded strings. Compatible with the `gpt4-vision-preview model`",
      optional: true,
    },
    responseFormat: {
      type: "string",
      label: "Response Format",
      description: "Specify the format that the model must output. [Setting to `json_object` guarantees the message the model generates is valid JSON](https://platform.openai.com/docs/api-reference/chat/create#chat-create-response_format). Defaults to `text`",
      options: [
        "text",
        "json_object",
      ],
      optional: true,
      default: "text",
    },
    ...common.props,
  },
  async run({ $ }) {
    const args = this._getChatArgs();

    const response = await this.openai.createChatCompletion({
      $,
      args,
    });

    if (response) {
      $.export("$summary", `Successfully sent chat with id ${response.id}`);
    }

    const { messages } = args;
    return {
      original_messages: messages,
      original_messages_with_assistant_response: messages.concat(response.choices[0]?.message),
      ...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.

LabelPropTypeDescription
OpenAI (ChatGPT)openaiappThis component uses the OpenAI (ChatGPT) app.
ModelmodelIdstringSelect a value from the drop down menu.
User MessageuserMessagestring

The user messages provide instructions to the assistant. They can be generated by the end users of an application, or set by a developer as an instruction.

System InstructionssystemInstructionsstring

The system message helps set the behavior of the assistant. For example: "You are a helpful assistant." See these docs for tips on writing good instructions.

Prior Message Historymessagesstring[]

Advanced. Because the models have no memory of past chat requests, all relevant information must be supplied via the conversation. You can provide an array of messages from prior conversations here. If this param is set, the action ignores the values passed to System Instructions and Assistant Response, appends the new User Message to the end of this array, and sends it to the API.

Imagesimagesstring[]

Provide one or more images to OpenAI's vision model. Accepts URLs or base64 encoded strings. Compatible with the gpt4-vision-preview model

Response FormatresponseFormatstringSelect a value from the drop down menu:textjson_object
Max TokensmaxTokensinteger

The maximum number of tokens to generate in the completion.

Temperaturetemperaturestring

Optional. What sampling temperature to use. Higher values means the model will take more risks. Try 0.9 for more creative applications, and 0 (argmax sampling) for ones with a well-defined answer.

Top PtopPstring

An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered. We generally recommend altering this or temperature but not both.

Nninteger

How many completions to generate for each prompt

Stopstopstring[]

Up to 4 sequences where the API will stop generating further tokens. The returned text will not contain the stop sequence.

Presence PenaltypresencePenaltystring

Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics.

Frequency PenaltyfrequencyPenaltystring

Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim.

Useruserstring

A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. Learn more here.

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 apps like ChatGPT and DALL·E 2.

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