Typed contracts
Every tool, every input, every output has a Zod/JSON schema. The runtime enforces it; the LLM cannot drift past it.
Multi-step tools with evals, traces, and guardrails — operating in your stack, not a sandbox.
Every tool, every input, every output has a Zod/JSON schema. The runtime enforces it; the LLM cannot drift past it.
Every release runs through deterministic + LLM-judge evals before promote. Regressions block the deploy.
OpenTelemetry spans on every span; rollback is a one-line route swap behind a feature flag.
Every system we build follows this shape. Client at the edge, tools in a sandbox, traces everywhere, evaluators gating output. No black boxes, no "it works on my machine."
Three real production scenarios, replayed at observed latency. Every box is a span; every span has tokens, cost, and an eval gate. This is what shows up in your traces, not a marketing animation.
Pretrade review requires: applicable-rules retrieval, market-data lookup, position-check, and a deterministic evaluator gate.
Every release runs through eval gates: deterministic checks (schema, latency, cost), tool-call coverage, and LLM-judge spot checks. The deploy stops if any of them regress.
Budgets are per-call and per-day. We cap context with retrieval-truncation, route to cheaper models where the eval allows, and fall back to deterministic paths under cost pressure.
Every path has a fallback. Deterministic logic catches the common cases; the agent path layers on top. Rollback is a one-line route swap behind a feature flag.
Two-week shadowing during ramp, runbook + eval suite delivered in your repo, oncall overlap for the first incident. After that you own it.
Fixed-price discovery in 2 weeks. You leave with an architecture, a working spike, and a build plan.