Summarize Text with OpenAI (ChatGPT) API on New Created Comment (Instant) from Linear (API key) API

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New Created Comment (Instant) from the Linear (API key) API

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Summarize Text with the OpenAI (ChatGPT) API

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Getting Started#

This integration creates a workflow with a Linear (API key) 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 Created Comment (Instant) trigger
1. Connect your Linear (API key) account
2. Select one or more Team IDs
3. Optional- Select a Project
Configure the Summarize Text action
1. Connect your OpenAI (ChatGPT) account
2. Optional- Configure Max Tokens
3. Optional- Configure Temperature
4. Optional- Configure Top P
5. Optional- Configure N
6. Optional- Configure Stop
7. Optional- Configure Presence Penalty
8. Optional- Configure Frequency Penalty
9. Optional- Configure User
10. Configure Text
11. 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 Created Comment (Instant) on Linear (API key)

Description:Emit new event when a new comment is created. See the docs [here](https://developers.linear.app/docs/graphql/webhooks)

Version:0.1.5

Key:linear_app-comment-created-instant

View on GitHub

Linear (API key) Overview#

Linear helps streamline software project management, bug tracking, and task coordination. By using the Linear (API key) API with Pipedream, you can automate routine tasks, sync issues across platforms, and trigger custom workflows. Think auto-assignment of tasks based on specific triggers or pushing updates to a Slack channel when an issue's status changes. These automations save time and ensure that your development team stays focused on coding rather than on administrative overhead.

Trigger Code#

import common from "../common/webhook.mjs";
import constants from "../../common/constants.mjs";

export default {
  ...common,
  key: "linear_app-comment-created-instant",
  name: "New Created Comment (Instant)",
  description: "Emit new event when a new comment is created. See the docs [here](https://developers.linear.app/docs/graphql/webhooks)",
  type: "source",
  version: "0.1.5",
  dedupe: "unique",
  methods: {
    ...common.methods,
    getResourceTypes() {
      return [
        constants.RESOURCE_TYPE.COMMENT,
      ];
    },
    getWebhookLabel() {
      return "Comment created";
    },
    getResourcesFn() {
      return this.linearApp.listComments;
    },
    useGraphQl() {
      return false;
    },
    async isFromProject(body) {
      const comment = await this.linearApp.getComment({
        commentId: body.data.id,
      });
      return !this.projectId || comment?.issue?.project?.id == this.projectId;
    },
    getResourcesFnArgs() {
      return {
        sortBy: "createdAt",
        filter: {
          issue: {
            team: {
              id: {
                in: this.teamIds,
              },
            },
            project: {
              id: {
                eq: this.projectId,
              },
            },
          },
        },
      };
    },
    getMetadata(resource) {
      const {
        delivery,
        body,
        data,
        createdAt,
      } = resource;
      return {
        id: delivery || resource.id,
        summary: `New comment event created: ${data?.body || body}`,
        ts: Date.parse(createdAt),
      };
    },
  },
};

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
Linear (API key)	`linearApp`	`app`	This component uses the Linear (API key) app.
Team IDs	`teamIds`	`string[]`	Select a value from the drop down menu.
Project	`projectId`	`string`	Select a value from the drop down menu.
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.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.

Trigger Authentication#

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

About Linear (API key)#

Linear helps streamline software projects, sprints, tasks, and bug tracking. It's built for high-performance teams.

Action#

Summarize Text on OpenAI (ChatGPT)

Description:Summarizes text using the Chat API

Version:0.0.10

Key:openai-summarize

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: "Summarize Text",
  version: "0.0.10",
  key: "openai-summarize",
  description: "Summarizes text using the Chat API",
  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: [
        "word",
        "sentence",
        "paragraph",
        "page",
      ],
    },
  },
  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");
      }
      return {
        summary: response.choices?.[0]?.message?.content,
        messages,
      };
    },
  },
};

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.
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.
Text	`text`	`string`	The text to summarize
Summary Length	`length`	`string`	Select a value from the drop down menu:`wordsentenceparagraphpage`

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.

More Ways to Connect OpenAI (ChatGPT) + Linear (API key)#

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Summarize Text with OpenAI (ChatGPT) API on New Created Comment (Instant) from Linear (API key) API

Pipedream makes it easy to connect APIs for OpenAI (ChatGPT), Linear (API key) and 2,000+ other apps remarkably fast.

Trusted by 800,000+ developers from startups to Fortune 500 companies

Developers ♥ Pipedream

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