LaunchDarkly
Product managers, QA engineers, and support staff ask about flag configurations, rollout environments, and project settings. Your AI agent queries LaunchDarkly instantly, pulling project details, environment lists, and trigger workflows without anyone needing API access.
Your AI agent navigates LaunchDarkly's projects, environments, teams, and trigger workflows so your team gets answers without logging into the dashboard.
LaunchDarkly
Real scenarios where your AI agent helps product and engineering teams get instant answers about feature flags, environments, and rollout configurations.
A QA engineer messages your internal bot asking which environments are configured for the 'checkout-redesign' project. Your AI Agent queries LaunchDarkly's Environments API with the project key and returns a clear list of staging, production, and preview environments with their keys. The engineer verifies the right target instantly. No waiting for a DevOps team member to check.
An on-call engineer spots elevated error rates and needs to disable a feature fast. They tell the AI Agent to create a trigger workflow that turns off the flag in production. The agent calls LaunchDarkly's Create Trigger API, sets up the workflow, and confirms it is active. The feature is disabled in under a minute. No dashboard hunting during an outage.
Your compliance team needs a quarterly review of who can modify production flags. Your AI Agent pulls all custom roles from LaunchDarkly with their permission policies and presents a summary. The auditor gets the full picture in one conversation. No manual exports or spreadsheet wrangling needed.
LaunchDarkly
FAQs
The agent uses LaunchDarkly's REST API with your access token. It calls the List Projects endpoint to enumerate all projects, then the Get Environments endpoint for a specific project key. Results include project metadata, environment keys, and configuration details, all fetched in real time.
Yes. The agent can create trigger workflows using LaunchDarkly's Trigger API, specifying the project key, environment key, feature flag key, and trigger instructions. It can also delete existing trigger workflows. This enables automated flag toggles for incident response or scheduled rollouts.
The token needs read access to projects, environments, teams, custom roles, and code references. If you want the agent to create trigger workflows, the token also needs write access to flag triggers. Use LaunchDarkly's built-in token scoping to limit permissions to exactly what is needed.
No. Every query hits LaunchDarkly's API in real time. Project lists, environment configurations, role definitions, and team structures are fetched live during each conversation and are not persisted by Tars.
Yes. The agent calls LaunchDarkly's Code Reference Repositories API for a given project key and returns the list of repositories with code reference data. This helps developers understand flag usage across your codebase without manual searches.
The dashboard requires login and manual navigation. With Tars, anyone on your team can ask questions about projects, environments, or roles in natural language through Slack or your internal chat. Non-technical team members get answers without needing LaunchDarkly access.
Yes. The agent calls the List Teams endpoint and returns all teams with their details. This is particularly useful during onboarding reviews, organizational audits, or when managers need to verify team access structures quickly.
The agent uses LaunchDarkly's pagination parameters (limit and offset) to retrieve results in batches. For large accounts, it fetches data incrementally and can filter or sort results to find exactly what you need without returning overwhelming amounts of information.
Don't limit your AI Agent to basic conversations. Watch how to configure and add powerful tools making your agent smarter and more functional.
Privacy & Security
At Tars, we take privacy and security very seriously. We are compliant with GDPR, ISO, SOC 2, and HIPAA.
Email - sales@hellotars.com
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