RL observability for LLM agents: behavior maps, native trainer metrics, rollout investigations, and Python/SQL analysis.
Dynamic rollout visualization library.
Open-source, self-hosted platform for feature flags, progressive delivery, and fine-grained access control.
Core packages and SDKs for the RolloutCtrl ecosystem, including the evaluator engine, client and server SDKs, React integrations, and shared utilities.
Low-code feature rollouts
Example with Argo Rollouts and Header based routing
Visualize and compare agent rollouts.
Documentation and steps over ArgoCD Rollouts workshop
Feature Flagging Application with Rule Based Targeting
Framework-agnostic feature flag SDK — targeting rules, rollouts, releases, kill switches, segments, A/B experiments. Server and client on the same plane.
Rollout server for RL over a temporally-scoped corpus: (case, timestep, prompt) → a pinned agent in a sandbox truncated at that timestep → one validated, training-ready trajectory.
Interactive feature flag simulator for testing targeting rules, rollout percentages, identity continuity, and multivariate assignment.
Self-hosted feature flag system. Manage flags via a web UI and evaluate them in your application with a lightweight SDK.
Full-stack feature flag platform with edge-evaluated SDK, multi-tenant RBAC, distributed tracing (OpenTelemetry + Grafana Faro), and a custom rules engine with consistent hashing for percentage rollouts.
Simple yet functional wrapper for the Optimizely's PHP SDK
Split — independent third-party profile of a public API surface, by API Evangelist. Split, now part of Harness Feature Management and Experimentation, is a feature flag and experimentation platform that enables teams to safely release features with controlled rollouts and measure their impact.
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