← HTTP / Webhook + Thoughtful GPT integrations

Process CSV Files with Thoughtful GPT API on New Requests from HTTP / Webhook API

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New Requests from the HTTP / Webhook API
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Process CSV Files with the Thoughtful GPT API
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Getting Started

This integration creates a workflow with a HTTP / Webhook trigger and Thoughtful GPT 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 Requests trigger
    1. Optional- Configure Body Only
    2. Optional- Configure Response Status Code
    3. Optional- Configure Response Content-Type
    4. Optional- Configure Response Body
    5. Connect your HTTP / Webhook account
  3. Configure the Process CSV Files action
    1. Connect your Thoughtful GPT account
    2. Configure CSV Data
    3. Configure Process
    4. Configure Prompt
  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:Get a URL and emit the full HTTP event on every request (including headers and query parameters). You can also configure the HTTP response code, body, and more.
Version:0.1.1
Key:http-new-requests

HTTP / Webhook Overview

Build, test, and send HTTP requests without code using your Pipedream workflows. The HTTP / Webhook action is a tool to build HTTP requests with a Postman-like graphical interface.

An interface for configuring an HTTP request within Pipedream's workflow system. The current selection is a GET request with fields for the request URL, authorization type (set to 'None' with a note explaining "This request does not use authorization"), parameters, headers (with a count of 1, though the detail is not visible), and body. Below the main configuration area is an option to "Include Response Headers," and a button labeled "Configure to test." The overall layout suggests a user-friendly, no-code approach to setting up custom HTTP requests.

Point and click HTTP requests

Define the target URL, HTTP verb, headers, query parameters, and payload body without writing custom code.

A screenshot of Pipedream's HTTP Request Configuration interface with a GET request type selected. The request URL is set to 'https://api.openai.com/v1/models'. The 'Auth' tab is highlighted, indicating that authentication is required for this request. In the headers section, there are two headers configured: 'User-Agent' is set to 'pipedream/1', and 'Authorization' is set to 'Bearer {{openai_api_key}}', showing how the OpenAI account's API key is dynamically inserted into the headers to handle authentication automatically.

Here's an example workflow that uses the HTTP / Webhook action to send an authenticated API request to OpenAI.

Focus on integrating, not authenticating

This action can also use your connected accounts with third-party APIs. Selecting an integrated app will automatically update the request’s headers to authenticate with the app properly, and even inject your token dynamically.

This GIF depicts the process of selecting an application within Pipedream's HTTP Request Builder. A user hovers the cursor over the 'Auth' tab and clicks on a dropdown menu labeled 'Authorization Type', then scrolls through a list of applications to choose from for authorization purposes. The interface provides a streamlined and intuitive method for users to authenticate their HTTP requests by selecting the relevant app in the configuration settings.

Pipedream integrates with thousands of APIs, but if you can’t find a Pipedream integration simply use Environment Variables in your request headers to authenticate with.

Compatible with no code actions or Node.js and Python

The HTTP/Webhook action exports HTTP response data for use in subsequent workflow steps, enabling easy data transformation, further API calls, database storage, and more.

Response data is available for both coded (Node.js, Python) and no-code steps within your workflow.

An image showing the Pipedream interface where the HTTP Webhook action has returned response data as a step export. The interface highlights a structured view of the returned data with collapsible sections. We can see 'steps.custom_request1' expanded to show 'return_value' which is an object containing a 'list'. Inside the list, an item 'data' is expanded to reveal an element with an 'id' of 'whisper-1', indicating a model created by and owned by 'openai-internal'. Options to 'Copy Path' and 'Copy Value' are available for easy access to the data points.

Trigger Code

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

// Core HTTP component
export default {
  key: "http-new-requests",
  name: "New Requests",
  description: "Get a URL and emit the full HTTP event on every request (including headers and query parameters). You can also configure the HTTP response code, body, and more.",
  version: "0.1.1",
  type: "source",
  props: {
    httpInterface: {
      type: "$.interface.http",
      customResponse: true,
    },
    emitBodyOnly: {
      type: "boolean",
      label: "Body Only",
      description: "This source emits an event representing the full HTTP request by default. Select `true` to emit the body only.",
      optional: true,
      default: false,
    },
    resStatusCode: {
      type: "string",
      label: "Response Status Code",
      description: "The status code to return in the HTTP response",
      optional: true,
      default: "200",
    },
    resContentType: {
      type: "string",
      label: "Response Content-Type",
      description: "The `Content-Type` of the body returned in the HTTP response",
      optional: true,
      default: "application/json",
    },
    resBody: {
      type: "string",
      label: "Response Body",
      description: "The body to return in the HTTP response",
      optional: true,
      default: "{ \"success\": true }",
    },
    http,
  },
  async run(event) {
    const summary = `${event.method} ${event.path}`;

    this.httpInterface.respond({
      status: this.resStatusCode,
      body: this.resBody,
      headers: {
        "content-type": this.resContentType,
      },
    });

    if (this.emitBodyOnly) {
      this.$emit(event.body, {
        summary,
      });
    } else {
      this.$emit(event, {
        summary,
      });
    }
  },
};

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
N/AhttpInterface$.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.
Body OnlyemitBodyOnlyboolean

This source emits an event representing the full HTTP request by default. Select true to emit the body only.

Response Status CoderesStatusCodestring

The status code to return in the HTTP response

Response Content-TyperesContentTypestring

The Content-Type of the body returned in the HTTP response

Response BodyresBodystring

The body to return in the HTTP response

HTTP / WebhookhttpappThis component uses the HTTP / Webhook app.

Trigger Authentication

The HTTP / Webhook API does not require authentication.

About HTTP / Webhook

Get a unique URL where you can send HTTP or webhook requests

Action

Description:Analyzes provided CSV data, generates queries, and creates data visualizations. [See the documentation](https://docs.thoughtfulgpt.com/thoughtfulgpt-documentation/product-guide/api-reference)
Version:0.0.1
Key:thoughtful_gpt-process-csv-files

Thoughtful GPT Overview

The Thoughtful GPT API lets you integrate advanced natural language processing into your workflows on Pipedream. Tap into the power of generative AI to create content, analyze text, or automate responses. With Pipedream, harness this API in serverless workflows that trigger from numerous events and connect to other apps for expanded functionality.

Action Code

import thoughtfulgpt from "../../thoughtful_gpt.app.mjs";

export default {
  key: "thoughtful_gpt-process-csv-files",
  name: "Process CSV Files",
  description: "Analyzes provided CSV data, generates queries, and creates data visualizations. [See the documentation](https://docs.thoughtfulgpt.com/thoughtfulgpt-documentation/product-guide/api-reference)",
  version: "0.0.1",
  type: "action",
  props: {
    thoughtfulgpt,
    csvData: {
      type: "string",
      label: "CSV Data",
      description: "The CSV data to be analyzed",
    },
    process: {
      type: "string",
      label: "Process",
      description: "Type of process to be executed on CSV data",
    },
    prompt: {
      type: "string",
      label: "Prompt",
      description: "Prompt for the data processing",
    },
  },
  async run({ $ }) {
    const response = await this.thoughtfulgpt.analyzeCSV({
      $,
      data: {
        csv_data: this.csvData,
        process: this.process,
        prompt: this.prompt,
      },
    });
    $.export("$summary", "Successfully processed CSV data.");
    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.

LabelPropTypeDescription
Thoughtful GPTthoughtfulgptappThis component uses the Thoughtful GPT app.
CSV DatacsvDatastring

The CSV data to be analyzed

Processprocessstring

Type of process to be executed on CSV data

Promptpromptstring

Prompt for the data processing

Action Authentication

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

About Thoughtful GPT

AI Collaboration Tools to Supercharge your Team.

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