Skip to main content

Airbyte Linear Connector for AI platforms

Project description

Linear agent connector

Linear is a modern issue tracking and project management tool built for software development teams. This connector provides access to issues, projects, and teams for sprint planning, backlog management, and development workflow analysis.

Example questions

The Linear connector is optimized to handle prompts like these.

  • Show me the open issues assigned to my team this week
  • List out all projects I'm currently involved in
  • List all users in my Linear workspace
  • Who is assigned to the most recently updated issue?
  • Create a new issue titled 'Fix login bug'
  • Update the priority of a recent issue to urgent
  • Change the title of a recent issue to 'Updated feature request'
  • Add a comment to a recent issue saying 'This is ready for review'
  • Update my most recent comment to say 'Revised feedback after testing'
  • Create a high priority issue about API performance
  • Assign a recent issue to a teammate
  • Unassign the current assignee from a recent issue
  • Reassign a recent issue from one teammate to another
  • Analyze the workload distribution across my development team
  • What are the top priority issues in our current sprint?
  • Identify the most active projects in our organization right now
  • Summarize the recent issues for {team_member} in the last two weeks
  • Compare the issue complexity across different teams
  • Which projects have the most unresolved issues?
  • Give me an overview of my team's current project backlog

Unsupported questions

The Linear connector isn't currently able to handle prompts like these.

  • Delete an outdated project from our workspace
  • Schedule a sprint planning meeting
  • Delete this issue
  • Remove a comment from an issue

Installation

uv pip install airbyte-agent-linear

Usage

Connectors can run in open source or hosted mode.

Open source

In open source mode, you provide API credentials directly to the connector.

from airbyte_agent_linear import LinearConnector
from airbyte_agent_linear.models import LinearAuthConfig

connector = LinearConnector(
    auth_config=LinearAuthConfig(
        api_key="<Your Linear API key from Settings > API > Personal API keys>"
    )
)

@agent.tool_plain # assumes you're using Pydantic AI
@LinearConnector.tool_utils
async def linear_execute(entity: str, action: str, params: dict | None = None):
    return await connector.execute(entity, action, params or {})

Hosted

In hosted mode, API credentials are stored securely in Airbyte Cloud. You provide your Airbyte credentials instead.

This example assumes you've already authenticated your connector with Airbyte. See Authentication to learn more about authenticating. If you need a step-by-step guide, see the hosted execution tutorial.

from airbyte_agent_linear import LinearConnector
from airbyte_agent_linear._vendored.connector_sdk.types import AirbyteHostedAuthConfig

connector = LinearConnector(
    auth_config=AirbyteHostedAuthConfig(
        external_user_id="<your_external_user_id>",
        airbyte_client_id="<your-client-id>",
        airbyte_client_secret="<your-client-secret>"
    )
)

@agent.tool_plain # assumes you're using Pydantic AI
@LinearConnector.tool_utils
async def linear_execute(entity: str, action: str, params: dict | None = None):
    return await connector.execute(entity, action, params or {})

Full documentation

Entities and actions

This connector supports the following entities and actions. For more details, see this connector's full reference documentation.

Entity Actions
Issues List, Get, Create, Update
Projects List, Get
Teams List, Get
Users List, Get
Comments List, Get, Create, Update

Authentication and configuration

For all authentication and configuration options, see the connector's authentication documentation.

Linear API docs

See the official Linear API reference.

Version information

  • Package version: 0.19.80
  • Connector version: 0.1.9
  • Generated with Connector SDK commit SHA: 5c699b63de47ab09d9e52e38d1c61f7f994da24d
  • Changelog: View changelog

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

airbyte_agent_linear-0.19.80.tar.gz (140.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

airbyte_agent_linear-0.19.80-py3-none-any.whl (163.1 kB view details)

Uploaded Python 3

File details

Details for the file airbyte_agent_linear-0.19.80.tar.gz.

File metadata

  • Download URL: airbyte_agent_linear-0.19.80.tar.gz
  • Upload date:
  • Size: 140.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.11

File hashes

Hashes for airbyte_agent_linear-0.19.80.tar.gz
Algorithm Hash digest
SHA256 38273fe23edd3061f6fd09ea7c7bc101ce35dfd8426f9832928a738fddcde5e0
MD5 59fcaf48b28af0d7aaafbe99d7600707
BLAKE2b-256 e47712dd52ffae87c5b6b248de89a5ec6c8b2abd857128bd8d8409eca6fce927

See more details on using hashes here.

File details

Details for the file airbyte_agent_linear-0.19.80-py3-none-any.whl.

File metadata

File hashes

Hashes for airbyte_agent_linear-0.19.80-py3-none-any.whl
Algorithm Hash digest
SHA256 f9237ec622ca0f9e7314865cdb13e9728b99aa3541c63e6f3da3e91272066f62
MD5 9212053233532920d7c28bde5cec4368
BLAKE2b-256 f063daac8313f6549c1b6d054befd65e82148b468bfabd42a1365e6ff7c4d790

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page