An LLM router that can prove what it did.

Published July 26, 2026 · OmniStrat AI

The best LLM router can prove what it did, not just route it. That’s OmniStrat AI. OmniStrat Foundry gives you one endpoint across 17 US and allied providers, with smart prompt-aware routing, parallel fan-out, automatic failover and hard cost caps. And every call signed into a tamper-evident ledger, so each AI decision is logged and explainable.

One endpoint. Seventeen providers. No lock-in.

Route to Claude, GPT, Gemini, Grok, Bedrock, Groq, NVIDIA NIM, Mistral, Cohere and more through one API. BYOK supported. Smart routing picks the cheapest model that satisfies the prompt; racing fan-out returns the fastest success.

Governed means it stops, not warns

Cost caps are hard limits per org, per key, per call. Budget gates halt spend instead of emailing about it. Taskforces carry a charter, a budget, approvals, and memory that compounds.

The audit trail is the difference

Gateways route; Foundry proves. Every call becomes a signed, hash-chained, externally timestamped record.Proof of Decision, so adopting AI never creates an un-auditable decision layer. If you only need routing and price arbitrage, a plain router is fine; if any AI decision may ever need defending, the receipts must exist from day one.

From solo builders to enterprises

Solo Trader from $299/mo, scaling to multi-tenant Growth and Scale with SSO, audit export, and compliance modules. Free and Solo open in periodic windows. One Passport also opens Terminal and Agora.

What a receipt for an AI call contains

Every call through the router produces a signed record of what happened: which model actually served the request after routing and failover, the policy that selected it, token counts in and out, computed cost, and the caps that were checked before the call was allowed to spend. The receipt is written into the same hash-chained ledger as everything else on the platform, so it can be produced later — to a finance team asking where the spend went, to a security review asking which provider saw which workload, or to an auditor asking why the model said what it said.

This is the difference between a gateway that bills you and a gateway that can testify. Usage dashboards summarize; a receipt commits.

Cost control that fails closed

Caps here are enforcement, not monitoring. A per-day and per-month budget is checked before a call is placed, and a call that would cross the ceiling is refused — a 402 you can handle in code — rather than served and regretted. The distinction matters at exactly one moment: the retry loop at 3 a.m. that would have burned a month of budget by morning. Alerting tells you it happened. Enforcement means it did not.

Seventeen providers is leverage, not trivia

Provider concentration is a quiet operational risk: one vendor’s outage, deprecation schedule or price change becomes your incident. Routing across seventeen providers through one endpoint turns that into a policy decision — prefer cost, prefer latency, pin a model for reproducibility, or let failover walk the list when a provider degrades. Because the receipt records which provider actually served each call, the failover path is not a black box either: you can show, after the fact, exactly where every request went and why.

When someone asks you to prove it

Sooner or later somebody asks. A client disputes an AI-generated output. A security review wants to know which provider processed a regulated workload. An EU AI Act assessment asks how you meet the logging and traceability duties for a high-risk system. The teams that answer badly are the ones reconstructing from provider dashboards and application logs that were never designed to agree with each other.

A receipt answers differently because it is not a log line — it is a signed commitment. Each one is Ed25519-signed and written into the hash chain at the moment of the call, so the model, the routing decision, the tokens and the cost are fixed in an order nobody can quietly rearrange. Hand the receipt id to the person asking and they verify it themselves at the public verifier: re-hash, check the signature, confirm the chain position. The conversation moves from “trust our logs” to “run the arithmetic,” which is a much shorter conversation.