Shipping AI-powered features and agent-based workflows is the new normal. It’s no longer a question of whether you ship them, but how you do it safely, consistently, and with control. We have just introduced three powerful updates to AI Configs:, agent-based workflows, tools, and trends explorer for AI Insights.

Agent-based workflows

Now, with AI Configs, teams can define agent behaviors, attach reusable tools from a shared library, and use new SDK methods to spin up intelligent, multi-step agents, while still benefiting from the safe rollout and approval flows you expect from LaunchDarkly.

Tools

For agent-based workflows to be effective you also need effective tools. These can be used with both our Agent and Completion modes, providing ultimate flexibility in how LLM workflows are set up. Tools allow LLMs to do things like retrieve extra data or take an action on a users' behalf. Tools can now be managed in the UI using either a visual or JSON editor to define the configuration, are versioned on update so you have a change-log of any edits made to your tools, and can be attached to either Completion or Agent configs.

Trends Explorer for AI insights

As your team ships more AI products, it becomes harder to measure the real impact of model behavior, performance, and cost across environments and teams. With the new Trends Explorer, you can visualize trends across your AI Configs. Quickly visualize which models cost the most, have the greatest latency, or are performing the best (or worst).

Get started with AI Configs today. AI Configs Docs | Start your free trial