Summarize Text with 302.AI API on New Submission (Instant) from Jotform API

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New Submission (Instant) from the Jotform API

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Summarize Text with the 302.AI API

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Getting Started#

This integration creates a workflow with a Jotform trigger and 302.AI 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 Summarize Text action
1. Connect your 302.AI account
2. Select a Model
3. Optional- Configure Max Tokens
4. Optional- Configure Temperature
5. Optional- Configure Top P
6. Optional- Configure N
7. Optional- Configure Stop
8. Optional- Configure Presence Penalty
9. Optional- Configure Frequency Penalty
10. Optional- Configure User
11. Configure Text
12. Optional- Select a Summary Length
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:0.1.6

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: "0.1.6",
  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#

Summarize Text on 302.AI

Description:Summarize long-form text into concise, readable output using the 302.AI Chat API. Great for reports, content digestion, and executive briefs. [See documentation](https://doc.302.ai/147522039e0)

Version:0.0.1

Key:_302_ai-summarize-text

View on GitHub

Action Code#

import common from "../common/common-helper.mjs";
import constants from "../common/constants.mjs";

export default {
  ...common,
  name: "Summarize Text",
  version: "0.0.1",
  annotations: {
    destructiveHint: false,
    openWorldHint: true,
    readOnlyHint: true,
  },
  key: "_302_ai-summarize-text",
  description: "Summarize long-form text into concise, readable output using the 302.AI Chat API. Great for reports, content digestion, and executive briefs. [See documentation](https://doc.302.ai/147522039e0)",
  type: "action",
  props: {
    ...common.props,
    text: {
      label: "Text",
      description: "The text to summarize",
      type: "string",
    },
    length: {
      label: "Summary Length",
      description: "The length of the summary",
      type: "string",
      optional: true,
      options: constants.SUMMARIZE_LENGTH,
    },
  },
  methods: {
    ...common.methods,
    systemInstructions() {
      return "Your goal is to summarize the text the user provides. Please follow the length guidelines presented in the prompt.";
    },
    maxLength() {
      return this.length
        ? ` in one ${this.length}`
        : "";
    },
    userMessage() {
      return `Summarize the following text${this.maxLength()}: ${this.text}`;
    },
    formatOutput({
      messages, response,
    }) {
      if (!messages || !response) {
        throw new Error("Invalid API output, please reach out to https://pipedream.com/support");
      }
      const output = {
        messages,
      };
      const n = this.n
        ? parseInt(this.n)
        : 1;
      if (n > 1) {
        output.summaries = response.choices?.map(({ message }) => message.content);
      } else {
        output.summary = response.choices?.[0]?.message?.content;
      }
      return output;
    },
  },
};

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
302.AI	`_302_ai`	`app`	This component uses the 302.AI app.
Model	`modelId`	`string`	Select a value from the drop down menu.
Max Tokens	`maxTokens`	`string`	The maximum number of tokens to generate in the completion.
Temperature	`temperature`	`string`	What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic.
Top P	`topP`	`string`	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.
N	`n`	`string`	How many completions to generate for each prompt
Stop	`stop`	`string[]`	Up to 4 sequences where the API will stop generating further tokens. The returned text will not contain the stop sequence.
Presence Penalty	`presencePenalty`	`string`	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 Penalty	`frequencyPenalty`	`string`	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.
User	`user`	`string`	A unique identifier representing your end-user, which can help monitor and detect abuse.
Text	`text`	`string`	The text to summarize
Summary Length	`length`	`string`	Select a value from the drop down menu:`wordsentenceparagraphpage`

Action Authentication#

302.AI uses API keys for authentication. When you connect your 302.AI account, Pipedream securely stores the keys so you can easily authenticate to 302.AI APIs in both code and no-code steps.

About 302.AI#

302.AI is a pay-as-you-go enterprise AI resource hub that offers the latest and most comprehensive AI models and APIs on the market, along with a variety of ready-to-use online AI applications.

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