For AI agents: a documentation index is available at the root level at /llms.txt and /llms-full.txt. Append /llms.txt to any URL for a page-level index, or .md for the markdown version of any page.
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User GuideDeveloper GuidesAPI Reference
User GuideDeveloper GuidesAPI Reference
  • Getting Started
    • What is Runtype?
    • Creating your account
    • Platform Keys vs. BYOK
    • Understanding the Runtype UI
    • Quickstart: Social Media Post Generator
    • Quickstart: From Agent to Chat Widget
  • Dashboard
    • What is the Dashboard?
    • Daily Executions
  • Playground
    • What is the Playground?
  • Products & Surfaces
    • What are Products?
    • What are Surfaces?
    • Creating a Product
    • Setting up a Chat Surface
    • Setting up an API Surface
    • Setting up an MCP Surface
    • Setting up an A2A Surface
    • Setting up a Slack Surface
    • MCP authentication
    • Authenticating with product API keys
    • Embedding the chat widget (script tag)
    • Embedding the chat widget (React)
    • Surface orchestration modes
    • Product views
    • Adding Capabilities to a product
    • Connecting external agents
    • How A2A works
    • Connecting to Cursor / VS Code
    • Connecting to Claude Desktop
    • Scoping API keys to capabilities
    • Auto-generated OpenAPI spec
    • Calling your API endpoints
    • Client tokens and domain restrictions
    • AI-powered theme generation
    • Widget theming and customization
    • Product versioning and status
  • Flows
    • What are Flows?
    • Creating and Editing Flows
    • Flow step types overview
    • Agent and Flow Templates
    • Using prompt steps
    • Using transform-data steps
    • Using conditional steps
    • Using fetch-url and api-call steps
    • Using record steps (upsert/retrieve)
    • Flow variables and templates
    • Flow versioning and publishing
    • Running flows in batch
    • Handling batch failures
    • Debugging flows
  • Agents
    • What are Agents?
    • Creating and configuring Agents
    • Agent tools
  • Records
    • What are Records?
    • Creating and managing records
    • Using records in flows
    • Filtering and searching records
  • Tools
    • What are Tools?
    • Built-in Tools
    • Creating custom tools
    • Creating external tools
    • Runtime tools
  • Evals
    • What are Evals?
    • Running an Eval
    • Interpreting eval results
  • Schedules
    • What are Schedules?
    • Automating batch processing
  • Logs
    • What are Logs?
    • Working with Logs
  • Integrations
    • Connecting AI model providers
    • Slack integration
    • Google Workspace integration
    • GitHub integration
    • Linear integration
    • Weaviate (vector search)
    • Firecrawl (web scraping)
    • Exa (web search)
  • Settings
    • What's in Settings?
    • Available AI models
    • What are Organizations?
    • Managing AI models
    • Managing API keys
    • Billing and plans
    • Usage data
    • Team members and permissions
    • Appearance and preferences
    • Integrations (PostHog, Weaviate, Daytona)
  • Troubleshooting & FAQ
    • FAQ
    • Rate Limits and Usage
    • Managing Runtype with Claude
    • Flow execution failures
    • Common errors and solutions
    • Authentication issues
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On this page
  • Setting up Linear
  • Available tools
  • Use cases
  • Disconnecting Linear
  • Next steps
Integrations

Linear integration

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Weaviate (vector search)

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Built with

Connect Linear to let Agents create and manage issues, search projects, and add comments. Linear is available as a set of Agent tools, not as Flow steps.

Setting up Linear

  1. Go to Settings → Integrations
  2. Find Linear
  3. Click Connect to Linear
  4. Sign in to Linear
  5. Select which workspace to connect
  6. Authorize Runtype

Available tools

Once connected, the following tools are available to Agents:

  • create_issue — Create a new issue (with team, priority, labels, project, and estimate)
  • update_issue — Update an existing issue
  • search_issues — Search for issues with team, assignee, and state filters
  • get_issue — Get details of a specific issue by ID or identifier (e.g., “ENG-123”)
  • list_teams — List all teams in the workspace
  • list_projects — List projects, optionally filtered by team
  • add_comment — Add a comment to an issue

Enable these tools when configuring an Agent.

Use cases

  • Bug reporting: Auto-create issues from customer feedback
  • Feature requests: Track requests from chat interactions
  • Escalations: Create urgent issues when AI detects problems
  • Monitoring: Log anomalies detected by scheduled Agents

Disconnecting Linear

  1. Settings → Integrations → Linear
  2. Click Disconnect

Next steps

  • GitHub integration for code-related issue tracking
  • What are Agents? to build Agents that use Linear tools