Learned routing
Thompson sampling chooses per-request, not per-config. Winners get more traffic; losers get fewer. No static rules to maintain.
Public beta · governed AI routing
The governed control plane
for autonomous AI.
BrainstormRouter routes every completion through a learning engine with verifiable agent identity, budget enforcement, and memory-aware fallback. One API, 31 curated models, 8 providers — with receipts.
Models
31
curated, ranked
Providers
8
routed on merit
Intelligence
13
wired systems
Overhead
<1ms
p95 guardian
Why BrainstormRouter
Most gateways are pass-through.
This one learns.
Every request feeds Thompson sampling, validity scoring, and a cost/quality frontier that re-ranks providers in real time. Every response ships with a receipt: which model, which tier, what it cost, what it would have cost.
Verifiable identity
Short-lived mTLS certs via the Cryptographic Agent Framework. Every agent signs in; every call carries a provable origin.
Memory-aware context
SOUL, MEMORY, SKILL, HEARTBEAT, WORKSPACE, REFERENCE — six attributes, 4000 tokens, injected consistently across providers.
Counterfactual receipts
The shadow comparator logs what static routing would have spent. The savings widget shows the delta, live.
Budget enforcement
Per-agent, per-tenant daily caps. Budget forecaster predicts burn and degrades to cheaper tiers before you hit a ceiling.
Semantic cache
pgvector + in-memory hybrid at a 90% similarity threshold. Streaming responses get reconstructed from cache, not just JSON.
Five governance pillars
The control plane, not the crayon box.
Thirteen intelligence systems across five pillars. Every pillar is wired into the hot path — no dashboards without runtime, no runtime without receipts.
Identity
SOUL-first bootstrap
Upload identity → profile, HR record, budget, workspace, JWT. Zero admin ceremony.
Auth
Cryptographic Agent Framework
5-minute mTLS certificates signed by BR's CA. Agent JWTs with tenant scope.
Runtime
Thompson sampling + cascade
Bandit chooses, cascade recovers, validity scores, frontier re-ranks.
Economics
Budget forecaster & guardian
Per-tenant usage, daily caps, pre-request anomaly, counterfactual savings.
Evidence
Receipts & shadow comparator
Every response headers cost, savings, phase prediction, efficiency score.
Counterfactual proof
Every request knows
what static routing would’ve cost.
The shadow comparator records BR’s Thompson decision alongside
what a fixed price-only or quality-only router would have picked.
Welch’s t-test, Cohen’s d, win-rate confidence interval
— exposed over /v1/intelligence/benchmark.
Savings surface on the dashboard and via the
X-BR-Routing-Savings header on every
response.
POST /v1/chat/completions
# request headers returned X-BR-Model: claude-sonnet-4-6 X-BR-Estimated-Cost: $0.00412 X-BR-Actual-Cost: $0.00389 X-BR-Routing-Savings: $0.00124 # vs. static price-only X-BR-Guardian-Status: ok X-BR-Phases: planning,execution X-BR-Efficiency: 0.94 X-BR-Guardian-Overhead-Ms: 0.7 # link headers for AI discoverability Link: </openapi.yaml>; rel="describedby"; type="application/yaml" Link: </llms.txt>; rel="alternate"; type="text/plain"
Stop paying for pass-through.
Route with evidence.
Drop-in compatible with the OpenAI SDK. Free tier includes 100k tokens, all 13 intelligence systems, full receipts.