Linear and OpenAI integration

Save yourself the work of writing custom integrations for Linear and OpenAI and use n8n instead. Build adaptable and scalable Productivity, AI, and Langchain workflows that work with your technology stack. All within a building experience you will love.

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How to connect Linear and OpenAI

Step 1: Create a new workflow
Step 2: Add and configure nodes
Step 3: Connect
Step 4: Customize and extend your integration
Step 5: Test and activate your workflow

Step 1: Create a new workflow and add the first step

In n8n, click the "Add workflow" button in the Workflows tab to create a new workflow. Add the starting point – a trigger on when your workflow should run: an app event, a schedule, a webhook call, another workflow, an AI chat, or a manual trigger. Sometimes, the HTTP Request node might already serve as your starting point.

Linear and OpenAI integration: Create a new workflow and add the first step

Step 2: Add and configure Linear and OpenAI nodes

You can find Linear and OpenAI in the nodes panel. Drag them onto your workflow canvas, selecting their actions. Click each node, choose a credential, and authenticate to grant n8n access. Configure Linear and OpenAI nodes one by one: input data on the left, parameters in the middle, and output data on the right.

Linear and OpenAI integration: Add and configure Linear and OpenAI nodes

Step 3: Connect Linear and OpenAI

A connection establishes a link between Linear and OpenAI (or vice versa) to route data through the workflow. Data flows from the output of one node to the input of another. You can have single or multiple connections for each node.

Linear and OpenAI integration: Connect Linear and OpenAI

Step 4: Customize and extend your Linear and OpenAI integration

Use n8n's core nodes such as If, Split Out, Merge, and others to transform and manipulate data. Write custom JavaScript or Python in the Code node and run it as a step in your workflow. Connect Linear and OpenAI with any of n8n’s 1000+ integrations, and incorporate advanced AI logic into your workflows.

Linear and OpenAI integration: Customize and extend your Linear and OpenAI integration

Step 5: Test and activate your Linear and OpenAI workflow

Save and run the workflow to see if everything works as expected. Based on your configuration, data should flow from Linear to OpenAI or vice versa. Easily debug your workflow: you can check past executions to isolate and fix the mistake. Once you've tested everything, make sure to save your workflow and activate it.

Linear and OpenAI integration: Test and activate your Linear and OpenAI workflow

Classify new bugs in Linear with OpenAI's GPT-4 and move them to the right team

Use case

When working with multiple teams, bugs must get in front of the right team as quickly as possible to be resolved. Normally this includes a manual grooming of new bugs that have arrived in your ticketing system (in our case Linear). We found this way too time-consuming. That's why we built this workflow.

What this workflow does

This workflow triggers every time a Linear issue is created or updated within a certain team. For us at n8n, we created one general team called Engineering where all bugs get added in the beginning. The workflow then checks if the issue meets the criteria to be auto-moved to a certain team. In our case, that means that the description is filled, that it has the bug label, and that it's in the Triage state. The workflow then classifies the bug using OpenAI's GPT-4 model before updating the team property of the Linear issue. If the AI fails to classify a team, the workflow sends an alert to Slack.

Setup

Add your Linear and OpenAi credentials
Change the team in the Linear Trigger to match your needs
Customize your teams and their areas of responsibility in the Set me up node. Please use the format [Teamname][Description/Areas of responsibility]. Also, make sure that the team names match the names in Linear exactly.
Change the Slack channel in the Set me up node to your Slack channel of choice.

How to adjust it to your needs

Play around with the context that you're giving to OpenAI, to make sure the model has enough knowledge about your teams and their areas of responsibility
Adjust the handling of AI failures to your needs

How to enhance this workflow

At n8n we use this workflow in combination with some others. E.g. we have the following things on top:

We're using an automation that enables everyone to add new bugs easily with the right data via a /bug command in Slack (check out this template if that's interesting to you)

This workflow was built using n8n version 1.30.0

Nodes used in this workflow

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Popular Linear and OpenAI workflows

Classify new bugs in Linear with OpenAI's GPT-4 and move them to the right team

Use case When working with multiple teams, bugs must get in front of the right team as quickly as possible to be resolved. Normally this includes a manual grooming of new bugs that have arrived in your ticketing system (in our case Linear). We found this way too time-consuming. That's why we built this workflow. What this workflow does This workflow triggers every time a Linear issue is created or updated within a certain team. For us at n8n, we created one general team called Engineering where all bugs get added in the beginning. The workflow then checks if the issue meets the criteria to be auto-moved to a certain team. In our case, that means that the description is filled, that it has the bug label, and that it's in the Triage state. The workflow then classifies the bug using OpenAI's GPT-4 model before updating the team property of the Linear issue. If the AI fails to classify a team, the workflow sends an alert to Slack. Setup Add your Linear and OpenAi credentials Change the team in the Linear Trigger to match your needs Customize your teams and their areas of responsibility in the Set me up node. Please use the format Teamname. Also, make sure that the team names match the names in Linear exactly. Change the Slack channel in the Set me up node to your Slack channel of choice. How to adjust it to your needs Play around with the context that you're giving to OpenAI, to make sure the model has enough knowledge about your teams and their areas of responsibility Adjust the handling of AI failures to your needs How to enhance this workflow At n8n we use this workflow in combination with some others. E.g. we have the following things on top: We're using an automation that enables everyone to add new bugs easily with the right data via a /bug command in Slack (check out this template if that's interesting to you) This workflow was built using n8n version 1.30.0

Build your own Linear and OpenAI integration

Create custom Linear and OpenAI workflows by choosing triggers and actions. Nodes come with global operations and settings, as well as app-specific parameters that can be configured. You can also use the HTTP Request node to query data from any app or service with a REST API.

Linear supported actions

Issue

Create

Create an issue

Delete

Delete an issue

Get

Get an issue

Get Many

Get many issues

Update

Update an issue

OpenAI supported actions

Assistant
Text
Image
Audio
File

Create an Assistant

Create a new assistant

Delete an Assistant

Delete an assistant from the account

List Assistants

List assistants in the organization

Message an Assistant

Send messages to an assistant

Update an Assistant

Update an existing assistant

Message a Model

Create a completion with GPT 3, 4, etc.

Classify Text for Violations

Check whether content complies with usage policies

Analyze Image

Take in images and answer questions about them

Generate an Image

Creates an image from a text prompt

Generate Audio

Creates audio from a text prompt

Transcribe a Recording

Transcribes audio into the text

Translate a Recording

Translate audio into the text in the english language

Delete a File

Delete a file from the server

List Files

Returns a list of files that belong to the user's organization

Upload a File

Upload a file that can be used across various endpoints

Linear and OpenAI integration details

Linear tracks issues in SaaS (Software-as-a-Service) applications. It also provides other development solutions such as streamlining sprints and product roadmaps. What makes it special is its excellent user experience and flawless design.

Linear node docs + examples

Linear credential docs

See Linear integrations

Related categories

Productivity

OpenAI, the creator of ChatGPT, offers a range of powerful models including GPT-3, DALL·E, and Whisper. Leverage these models to build AI-powered workflows.

OpenAI node docs + examples

See OpenAI integrations

Related categories

Langchain

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Other integrations with OpenAI

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