← Stack Exchange (Stack Overflow) + OpenAI (ChatGPT) integrations

Chat with OpenAI (ChatGPT) API on New Answers for Specific Questions from Stack Exchange (Stack Overflow) API

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New Answers for Specific Questions from the Stack Exchange (Stack Overflow) API
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Chat with the OpenAI (ChatGPT) API
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Getting Started

This integration creates a workflow with a Stack Exchange (Stack Overflow) 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 Answers for Specific Questions trigger
    1. Connect your Stack Exchange (Stack Overflow) account
    2. Select a Site
    3. Select one or more Questions
    4. Configure timer
  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:Emits an event when a new answer is posted in one of the specified questions
Version:0.0.3
Key:stack_exchange-new-answers-for-questions

Stack Exchange (Stack Overflow) Overview

The Stack Exchange API offers an extensive range of tools for developers who
want to access content from the Stack Exchange network. With the API,
developers can build a variety of applications and services to leverage the
full power of the Stack Exchange platform. Here are some examples of
applications you can create using the Stack Exchange API:

  • Real-time monitoring and analytics for your Stack Exchange account or for
    content posted by other users.
  • A tool to search Stack Exchange questions and retrieve answers.
  • A system that allows you to monitor Stack Exchange content in different
    languages.
  • Automated moderation tools to help you manage and review content on Stack
    Exchange.
  • A service that allows users to collaborate on Stack Exchange projects.
  • An application that displays enhanced Stack Exchange content, such as rich
    media and live updating feeds.
  • Tools to help developers create custom applications and services that
    facilitate data exchange within the Stack Exchange network.
  • A service that allows you to integrate Stack Exchange content into other
    applications and services.

Trigger Code

const stack_exchange = require("../../stack_exchange.app");
const { DEFAULT_POLLING_SOURCE_TIMER_INTERVAL } = require("@pipedream/platform");

module.exports = {
  key: "stack_exchange-new-answers-for-questions",
  name: "New Answers for Specific Questions",
  description: "Emits an event when a new answer is posted in one of the specified questions",
  version: "0.0.3",
  dedupe: "unique",
  type: "source",
  props: {
    stack_exchange,
    db: "$.service.db",
    siteId: {
      propDefinition: [
        stack_exchange,
        "siteId",
      ],
    },
    questionIds: {
      propDefinition: [
        stack_exchange,
        "questionIds",
        (c) => ({
          siteId: c.siteId,
        }),
      ],
    },
    timer: {
      type: "$.interface.timer",
      default: {
        intervalSeconds: DEFAULT_POLLING_SOURCE_TIMER_INTERVAL,
      },
    },
  },
  hooks: {
    async activate() {
      const fromDate = this._getCurrentEpoch();
      this.db.set("fromDate", fromDate);
    },
  },
  methods: {
    _getCurrentEpoch() {
      // The StackExchange API works with Unix epochs in seconds.
      return Math.floor(Date.now() / 1000);
    },
    generateMeta(data) {
      const {
        answer_id: id,
        question_id: questionId,
        creation_date: ts,
      } = data;
      const summary = `New answer for question ID ${questionId}`;
      return {
        id,
        summary,
        ts,
      };
    },
  },
  async run() {
    const fromDate = this.db.get("fromDate");
    const toDate = this._getCurrentEpoch();
    const filter = "!SWKA(ozr4ec2cHE9JK"; // See https://api.stackexchange.com/docs/filters
    const searchParams = {
      fromDate,
      toDate,
      filter,
      sort: "creation",
      order: "asc",
      site: this.siteId,
    };

    const items = this.stack_exchange.answersForQuestions(this.questionIds, searchParams);
    for await (const item of items) {
      const meta = this.generateMeta(item);
      this.$emit(item, meta);
    }

    this.db.set("fromDate", toDate);
  },
};

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
Stack Exchange (Stack Overflow)stack_exchangeappThis component uses the Stack Exchange (Stack Overflow) app.
N/Adb$.service.dbThis component uses $.service.db to maintain state between executions.
SitesiteIdstringSelect a value from the drop down menu.
QuestionsquestionIdsstring[]Select a value from the drop down menu.
timer$.interface.timer

Trigger Authentication

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

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

read_inboxno_expirywrite_accessprivate_info

About Stack Exchange (Stack Overflow)

Community-powered Q&A sites, including Stack Overflow

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:0.1.9
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: "0.1.9",
  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 models like ChatGPT, DALL-E, and Whisper.

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