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Connect LaunchDarkly to GitHub Copilot CLI

Give GitHub Copilot CLI governed access to LaunchDarkly’s 141 tools through Runlayer, with identity, policy, scanning, and audit on every call.

Book a demo GitHub Copilot CLI setup guide

Set up

Add LaunchDarkly to GitHub Copilot CLI in four steps

Admins approve the server once. Everyone in GitHub Copilot CLI then gets it through the same governed connection.

  1. 1

    Approve LaunchDarkly in Runlayer

    Add LaunchDarkly from the catalog and choose who can use it and which of its tools are allowed.

  2. 2

    Connect GitHub Copilot CLI to Runlayer

    Users add the Runlayer Plugin to GitHub Copilot CLI by following Runlayer’s setup guide. GitHub Copilot CLI reaches LaunchDarkly’s 141 tools through the Runlayer Plugin’s search and execute tools instead of listing each one.

    GitHub Copilot CLI setup guide
  3. 3

    Sign in to LaunchDarkly

    An admin adds LaunchDarkly credentials to Runlayer once. They never sit in the client’s configuration.

  4. 4

    Use LaunchDarkly from GitHub Copilot CLI

    LaunchDarkly’s approved tools appear in GitHub Copilot CLI. Every call is checked against policy and recorded.

Tools

141 LaunchDarkly tools in GitHub Copilot CLI

Runlayer policy decides which of these GitHub Copilot CLI users can call.

  • Apply agentcontrol config approval

    Apply an already-approved AgentControl Config approval request.

  • Apply approval request

    Apply an already-approved flag approval request.

  • Archive flag

    Archive a feature flag (reversible).

  • Check flag rollout complete

    Check whether a feature flag is fully rolled out to a single deterministic variation across all traffic-bearing environments.

  • Check removal readiness

    Detailed safety check before removing a feature flag.

  • Clone agentcontrol config variation

    Clone an existing AgentControl Config variation with selective overrides.

  • Copy flag config

    Copy a flag's targeting configuration from one environment to another.

  • Create agent graph

    Create a new agent graph in a project.

See all 141 LaunchDarkly tools

Control

What Runlayer can see and stop in GitHub Copilot CLI

Some controls apply to every client at the gateway. Others depend on what GitHub Copilot CLI exposes to Runlayer.

  • Gateway policy (available)

    Every LaunchDarkly call from GitHub Copilot CLI passes through Runlayer, where your policies can allow, alert, mask, or block it.

  • Audit trail (available)

    Each call is recorded with the user, GitHub Copilot CLI as the client, the tool, and the policy and scanner decisions.

  • Client hooks (available)

    Capture supported prompts, reasoning, local and MCP tool calls, responses, and scanner decisions in real time.

  • Stop a call before it runs (available)

    Runlayer can deny a tool call or permission request before GitHub Copilot CLI runs it.

  • Block output after it runs (available)

    Runlayer can block a tool’s output before GitHub Copilot CLI’s model sees it.

  • Redact output in place (available)

    Runlayer can mask sensitive parts of a successful tool’s output in GitHub Copilot CLI and pass the rest through.

In GitHub Copilot CLI

  • When a tool fails, Runlayer records the error but cannot replace it.

Frequently asked questions

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