Developer Tools & DevOps
Connect LaunchDarkly to Your AI Agents
Let your Wkil agents manage feature flags, staged releases, and rollout approvals through LaunchDarkly.
Authentication: API key
What you can do
- Toggle and target feature flags
- Coordinate staged, audience-based rollouts
- Detect regressions and require approvals on risky changes
Available capabilities may vary by authentication and workspace configuration.
Actions supported by the connector
Feature Management
Manage feature flags to control a feature's rollout.
Release Management
Coordinate controlled, staged releases.
Data Export
Export flag and event data for analysis in other systems.
AgentControl
Configure and tune AI agent behavior through flags.
Observability SDKs
Monitor app behavior and user engagement tied to flags.
Triggers
Project-level flag settings
Fires on changes to required maintainer settings for a flag.
Approval Requests
Fires when a change to a feature requires approval.
Audience-based releases
Fires as a feature rolls out to a specific audience segment.
Regression Detection
Fires when a rollout shows signs of a regression.
Practical agent use cases
- An agent rolls back a feature flag automatically when regression detection fires.
- An agent routes a risky flag change to a human for approval before it goes live.
- An agent expands a feature rollout to a wider audience segment once metrics look healthy.
How it works with Wkil
- 1Choose the integrationAdd LaunchDarkly to your agent from inside the Wkil platform.
- 2Grant the permissions it needsDefine precisely what the agent can access and perform.
- 3Test, then run itTest actions before they go live, with human approval where needed.
Permissions always stay in your control — you can scope access and require human approval before any sensitive action.
FAQ
Does this use my own LaunchDarkly account?
Yes — the connection authenticates with an API key scoped to your own LaunchDarkly project.

