Avirka-EN is a self-hosted SRE language model that investigates incidents, proposes fixes, and heals your Kubernetes cluster through a self-correcting Actor → Critic loop. Policy-gated, reversible, sovereign — and fine-tuned on your own incidents, not someone else's.
Critic evaluates · Hypothesis proposes · Actor executes
The interactive Reflexion terminal is available to beta operators. Sign in with your beta invite, or contact us for enterprise access.
Reflexion subagents — Observer, Actor, Critic, FinOps — act on live signals, reasoning through Avirka-EN. Every outcome feeds a continuous fine-tuning loop on the FRAKMA stack.
Every remediation outcome becomes a training signal — the model that runs your cluster is fine-tuned on your cluster.
Runs on the FRAKMA stack
Most agentic systems collapse under load because they mix reasoning with retrieval in a single model pass. Warble Brain decouples them: Action Brain handles execution and tool-calling, Knowledge Brain handles retrieval and semantic context. Both are connected by the Reflexion loop — a multi-cycle self-correction mechanism that catches errors before they reach your cluster.
Explore the architectureStandard automation reacts. Reflexion predicts, explains, and self-corrects.
Executes multi-step Kubernetes remediations, HPA adjustments, and rollbacks via a Critic → Hypothesis → Actor loop. Safe by default — every action is policy-gated before it reaches your cluster.
Semantic retrieval over your runbooks, incident history, and live metrics in a 128k managed context window. Sub-10ms vector retrieval via Qdrant — no token bloat under load.
Every action is validated against OPA policies with pre-computed rollback commands stored atomically. Air-gapped perimeters and Workload Identity ensure zero standing privileges.
Correlate cost anomalies with deployments, right-size node pools, and terminate idle resources — governed by your spend policies, not guesswork.
Every agent decision — context snapshot, reasoning chain, Critic approval, execution result — immutably stored in Postgres. 90-day retention. Replayable on demand.
Up to 8 self-correction cycles per action. The Critic catches logical flaws and policy violations before the Actor fires — eliminating the category of 'confident but wrong' agent failures.
Connect your GKE cluster. Let Warble Brain handle the reasoning, Reflexion handle the corrections, and you handle what matters.