← Hacker News + OpenAI (ChatGPT) integrations

Create Completion (Send Prompt) with OpenAI (ChatGPT) API on New Stories by Keyword from Hacker News API

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New Stories by Keyword from the Hacker News API
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Create Completion (Send Prompt) with the OpenAI (ChatGPT) API
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Getting Started

This integration creates a workflow with a Hacker News 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 Stories by Keyword trigger
    1. Connect your Hacker News account
    2. Configure timer
    3. Optional- Configure Keyword
  3. Configure the Create Completion (Send Prompt) action
    1. Connect your OpenAI (ChatGPT) account
    2. Select a Model
    3. Configure Prompt
    4. Optional- Configure Suffix
    5. Optional- Configure Max Tokens
    6. Optional- Configure Temperature
    7. Optional- Configure Top P
    8. Optional- Configure N
    9. Optional- Configure Stop
    10. Optional- Configure Presence Penalty
    11. Optional- Configure Frequency Penalty
    12. Optional- Configure User
    13. Optional- Configure Best Of
  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 stories that mention a specific keyword
Version:0.0.4
Key:hacker_news-new-stories-by-keyword

Trigger Code

const Parser = require("rss-parser");
const hacker_news = require("../../hacker_news.app.js");
const { DEFAULT_POLLING_SOURCE_TIMER_INTERVAL } = require("@pipedream/platform");

const parser = new Parser();

module.exports = {
  key: "hacker_news-new-stories-by-keyword",
  name: "New Stories by Keyword",
  description: "Emit new stories that mention a specific keyword",
  version: "0.0.4",
  type: "source",
  props: {
    hacker_news,
    timer: {
      type: "$.interface.timer",
      default: {
        intervalSeconds: DEFAULT_POLLING_SOURCE_TIMER_INTERVAL,
      },
    },
    db: "$.service.db",
    // If you want a single search feed but multiple keywords, separate the keywords with " OR ":
    keyword: {
      type: "string",
      label: "Keyword",
      description: "Keyword to watch. Matches story titles. Leave blank to get all stories.",
      optional: true,
      default: "",
    },
  },
  methods: {
    // in theory if alternate setting title and description or aren't unique this won't work
    itemKey(item) {
      return item.guid || item.id || item.title || item.description;
    },
  },
  async run() {
    const seenKeys = this.db.get("seenKeys") || [];
    const seenKeysMap = seenKeys.reduce((acc, v) => {
      acc[v] = true;
      return acc;
    }, {});
    // All elements of an item are optional,
    // however at least one of title or description must be present.
    // should be listed from most recent to least recent
    const feed = await parser.parseURL(`https://hnrss.org/newest?q=${encodeURIComponent(this.keyword)}`);
    for (let idx = feed.items.length - 1; idx >= 0; idx--) {
      const item = feed.items[idx];
      const key = this.itemKey(item);
      // XXX throw if !key?
      if (seenKeysMap[key]) continue;
      seenKeys.unshift(key);
      seenKeysMap[key] = true; // just in case of dupes
      this.$emit(item, {
        id: this.itemKey(item),
        summary: item.title,
        ts: item.pubdate && +new Date(item.pubdate),
      });
    }
    if (seenKeys.length) {
      // XXX restrict by byte size instead of el size
      this.db.set("seenKeys", seenKeys.slice(0, 1000));
    }
  },
};

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
Hacker Newshacker_newsappThis component uses the Hacker News app.
timer$.interface.timer
N/Adb$.service.dbThis component uses $.service.db to maintain state between executions.
Keywordkeywordstring

Keyword to watch. Matches story titles. Leave blank to get all stories.

Trigger Authentication

The Hacker News API does not require authentication.

About Hacker News

Social news website

Action

Description:OpenAI recommends using the **Chat** action for the latest `gpt-3.5-turbo` API, since it's faster and 10x cheaper. This action creates a completion for the provided prompt and parameters using the older `/completions` API. [See docs here](https://beta.openai.com/docs/api-reference/completions/create)
Version:0.1.5
Key:openai-send-prompt

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: "Create Completion (Send Prompt)",
  version: "0.1.5",
  key: "openai-send-prompt",
  description: "OpenAI recommends using the **Chat** action for the latest `gpt-3.5-turbo` API, since it's faster and 10x cheaper. This action creates a completion for the provided prompt and parameters using the older `/completions` API. [See docs here](https://beta.openai.com/docs/api-reference/completions/create)",
  type: "action",
  props: {
    openai,
    modelId: {
      propDefinition: [
        openai,
        "completionModelId",
      ],
    },
    prompt: {
      label: "Prompt",
      description: "The prompt to generate completions for",
      type: "string",
    },
    suffix: {
      label: "Suffix",
      description: "The suffix that comes after a completion of inserted text",
      type: "string",
      optional: true,
    },
    ...common.props,
    bestOf: {
      label: "Best Of",
      description: "Generates best_of completions server-side and returns the \"best\" (the one with the highest log probability per token). If set, results cannot be streamed.",
      type: "integer",
      optional: true,
    },
  },
  async run({ $ }) {
    const response = await this.openai.createCompletion({
      $,
      args: this._getCommonArgs(),
    });

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

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

The prompt to generate completions for

Suffixsuffixstring

The suffix that comes after a completion of inserted text

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.

Best OfbestOfinteger

Generates best_of completions server-side and returns the "best" (the one with the highest log probability per token). If set, results cannot be streamed.

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 models like ChatGPT, DALL-E, and Whisper.

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