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Enterprise prompt management tools
LaunchDarkly gives enterprise teams version control, governance, and runtime updates for every prompt across every model, without redeploying.
Prompts drive your AI features, but they rarely get the same treatment as the code around them. At enterprise scale, that gap turns into scattered versions, blocked teams, and changes nobody can trace.
Prompts, instructions, and model settings live outside your codebase in AgentControl. You change them in LaunchDarkly, and they take effect in production immediately.
Read the docs
Edit prompts, swap models, and adjust parameters without touching your CI/CD pipeline.
Revert to a known-good version the moment a change underperforms.
Build prompts with system, user, and assistant roles in a no-code editor.
Every change is tracked with rollback to any prior version.
Diff two prompt versions side by side before you promote a change.
Define prompt content once and reference it across configs and variations.
Every edit creates a new version with full history. Compare versions, see what changed, and reuse prompt content across configs.
Run experiments across models and prompt variations, then measure the results with real metrics (instead of vibes).
Measure real impact across cohorts and regions.
Track token usage, latency, error rates, and cost per call.
Score outputs for accuracy, relevance, and quality with judges.
Observe
Nontechnical teammates can edit and test prompts inside guardrails. Access controls, approval workflows, and audit logs keep every change safe and traceable.
Control who can change which models, prompts, and parameters.
Require sign-off on changes and keep a full record of who changed what.
Let PMs, designers, and engineers iterate on prompts without deploying.
Relay Network stopped waiting on deploys and started changing prompts in real time.
Engineering and product can edit prompts in the same place without funneling changes.
Access controls, audit logs, and guardrails that hold up to HIPAA requirements.
If prompts were only on the backend, only the backend people could modify them. But since they're a flag in LaunchDarkly, the product managers, frontend developers, or even the designers might have access to modifying them if they want to test something out.
Prompt management means managing the prompts that drive your AI features as versioned, governed resources instead of hard-coded strings. That covers editing, versioning, testing, rolling out, and monitoring prompts across environments and models.
