Classify Items into Categories with OpenAI (ChatGPT) API on New Web Content Update (Instant) from Wachete API

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New Web Content Update (Instant) from the Wachete API

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Classify Items into Categories with the OpenAI (ChatGPT) API

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Getting Started#

This integration creates a workflow with a Wachete 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 Web Content Update (Instant) trigger
1. Connect your Wachete account
2. Optional- Select a Folder ID
3. Select a Wachet ID
Configure the Classify Items into Categories action
1. Connect your OpenAI (ChatGPT) 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 info
12. Configure Items
13. Configure Categories
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 Web Content Update (Instant) on Wachete

Description:Emit new event when a Wachet receives a new notification

Version:0.0.1

Key:wachete-new-web-content-update

View on GitHub

Wachete Overview#

The Wachete API lets you track changes in web content and get notified when updates happen. This is handy for monitoring websites for new content, price changes, or availability of products, without manually checking the sites. Using Pipedream, you can integrate Wachete with other apps to automate reactions to these updates. Think about monitoring your competitors’ sites, keeping tabs on industry news, or even watching for job postings. With Wachete on Pipedream, these tasks become set-and-forget operations.

Trigger Code#

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

export default {
  key: "wachete-new-web-content-update",
  name: "New Web Content Update (Instant)",
  description: "Emit new event when a Wachet receives a new notification",
  version: "0.0.1",
  type: "source",
  dedupe: "unique",
  props: {
    wachete,
    http: "$.interface.http",
    folderId: {
      propDefinition: [
        wachete,
        "folderId",
      ],
    },
    wachetId: {
      propDefinition: [
        wachete,
        "wachetId",
        (c) => ({
          parentId: c.folderId,
        }),
      ],
    },
  },
  hooks: {
    async activate() {
      const {
        notificationEndpoints, ...otherData
      } = await this.wachete.getMonitor({
        id: this.wachetId,
      });
      const endpoints = notificationEndpoints || [];
      endpoints.push({
        type: "Webhook",
        value: this.http.endpoint,
      });
      await this.updateMonitor({
        notificationEndpoints: endpoints,
        ...otherData,
      });
    },
    async deactivate() {
      const {
        notificationEndpoints, ...otherData
      } = await this.wachete.getMonitor({
        id: this.wachetId,
      });
      const endpoints = notificationEndpoints || [];
      const newNotificationEndpoints = endpoints
        .filter(({ value }) => value !== this.http.endpoint);
      await this.updateMonitor({
        notificationEndpoints: newNotificationEndpoints,
        ...otherData,
      });
    },
  },
  methods: {
    async updateMonitor(data) {
      await this.wachete.createOrUpdateMonitor({
        data: {
          id: this.wachetId,
          ...data,
        },
      });
    },
    generateMeta(body) {
      const ts = Date.now();
      return {
        id: `${body.taskId}${ts}`,
        summary: `New Notification: ${body.taskId}`,
        ts,
      };
    },
  },
  async run(event) {
    const { body } = event;
    const meta = this.generateMeta(body);
    this.$emit(body, meta);
  },
  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
Wachete	`wachete`	`app`	This component uses the Wachete 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.
Folder ID	`folderId`	`string`	Select a value from the drop down menu.
Wachet ID	`wachetId`	`string`	Select a value from the drop down menu.

Trigger Authentication#

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

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

About Wachete#

Track and monitor any changes on the web.

Action#

Classify Items into Categories on OpenAI (ChatGPT)

Description:Classify items into specific categories using the Chat API. [See the documentation](https://platform.openai.com/docs/api-reference/chat)

Version:0.1.2

Key:openai-classify-items-into-categories

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

export default {
  ...common,
  name: "Classify Items into Categories",
  version: "0.1.2",
  key: "openai-classify-items-into-categories",
  description: "Classify items into specific categories using the Chat API. [See the documentation](https://platform.openai.com/docs/api-reference/chat)",
  type: "action",
  props: {
    ...common.props,
    info: {
      type: "alert",
      alertType: "info",
      content: `Provide a list of **items** and a list of **categories**. The output will contain an array of objects, each with properties \`item\` and \`category\`
        \nExample:
        \nIf **Categories** is \`["people", "pets"]\`, and **Items** is \`["dog", "George Washington"]\`
        \n The output will contain the following categorizations:
        \n \`[{"item":"dog","category":"pets"},{"item":"George Washington","category":"people"}]\`
      `,
    },
    items: {
      label: "Items",
      description: "Items to categorize",
      type: "string[]",
    },
    categories: {
      label: "Categories",
      description: "Categories to classify items into",
      type: "string[]",
    },
  },
  methods: {
    ...common.methods,
    systemInstructions() {
      return "Your goal is to categorize items into specific categories and produce ONLY JSON. The user will provide both the items and categories. Please only categorize items into the specific categories, and no others, and output ONLY JSON.";
    },
    outputFormat() {
      return "Please only categorize items into the specific categories, and no others. Output a valid JSON string — an array of objects, where each object has the following properties: item, category. Do not return any English text other than the JSON, either before or after the JSON. I need to parse the response as JSON, and parsing will fail if you return any English before or after the JSON";
    },
    userMessage() {
      return `Categorize each of the following items:\n\n${this.items.join("\n")}\n\ninto one of the following categories:\n\n${this.categories.join("\n")}\n\n${this.outputFormat()}}`;
    },
    summary() {
      return `Categorized ${this.items.length} items into ${this.categories.length} categories`;
    },
    formatOutput({
      messages, response,
    }) {
      if (!messages || !response) {
        throw new Error("Invalid API output, please reach out to https://pipedream.com/support");
      }
      const responses = response.choices?.map(({ message }) => message.content);
      const categorizations = [];
      for (const response of responses) {
        try {
          categorizations.push(JSON.parse(response));
        } catch (err) {
          console.log("Failed to parse output, assistant returned malformed JSON");
        }
      }
      const output = {
        messages,
      };
      if (this.n > 1) {
        output.categorizations = categorizations;
      } else {
        output.categorizations = categorizations[0];
      }
      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
OpenAI (ChatGPT)	`openai`	`app`	This component uses the OpenAI (ChatGPT) app.
Model	`modelId`	`string`	Select a value from the drop down menu.
Max Tokens	`maxTokens`	`integer`	The maximum number of tokens to generate in the completion.
Temperature	`temperature`	`string`	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 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. We generally recommend altering this or `temperature` but not both.
N	`n`	`integer`	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 OpenAI to monitor and detect abuse. Learn more here.
Items	`items`	`string[]`	Items to categorize
Categories	`categories`	`string[]`	Categories to classify items into

Classify Items into Categories with OpenAI (ChatGPT) API on New Web Content Update (Instant) from Wachete API

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