Routing intelligence for tomorrow.
The future won't run on one model. It will run on billions of decisions — and Celexta routes every one to the model that should make it.
See it
Every call shows what served it — and what it was billed.
Celexta routes to the cheapest model that clears the quality bar, and shows you the outcome on every call — what it cost, the effective rate, and how it graded versus a single frontier model. Pin a specific model and the receipt names it; on the routed tiers you buy the result, not a lookup.
Example routed call
billed $0.0046 · 70% × frontier list
published price formula — printed on every receipt
AI is becoming a network of models, agents, tools, memories, and machines. Celexta is the routing layer.
Celexta is building the intelligence infrastructure layer for AI applications, autonomous agents, and embodied machines.
Celexta is intelligent routing.
One decision engine behind one API, sold as three models. Each is a routing policy with a published price — a fixed fraction of the frontier list price, printed on every receipt.
35% × frontier list
$0.70 in / $3.50 out per Mtok
Cost-first routing — the cheapest eligible model that can carry the request.
70% × frontier list
$1.40 in / $7.00 out per Mtok
Balanced default — routes on quality, cost and latency together.
100% × frontier list
$2.00 in / $10.00 out per Mtok
Quality-first routing across the pool, capped at the frontier baseline price point.
Selects
Every request scored across your model pool — cost, latency, quality, availability — and sent to the model that should answer it.
Synthesizes
Hard tasks can draw on several experts at once and return one verified answer — billed at the same published tier formula as any other call.
Decomposes
Oversized jobs are split into tractable parts, solved in parallel on the right models, and merged — checked before they return.
Protects
Per-key pools, objectives, spend caps, and context management. Your keys decide what the router may do.
Recovers
Failures are classified and retried down a pinned fallback chain — before the first token when streaming.
Learns
Every routed outcome makes the next decision better. The engine compounds with traffic.
Priced by published formula.
Every tier bills at a fixed fraction of the frontier list price — the same arithmetic printed on every receipt. Frozen-suite benchmark results publish here, reproducible with raw runs attached.
celexta/value
35% × frontier list
$0.70 in / $3.50 out per Mtok
celexta/auto
70% × frontier list
$1.40 in / $7.00 out per Mtok
celexta/max
100% × frontier list
$2.00 in / $10.00 out per Mtok
OpenAI-compatible. Change one line.
Keep your SDK. Point the base URL at Celexta and route across providers automatically — while tracking cost, latency, and reliability for every request.
- Drop-in OpenAI-compatible API
- Route across providers with one model alias
- Track cost, latency, and reliability per call
import OpenAI from "openai";
// Point your existing OpenAI SDK at Celexta.
const client = new OpenAI({
baseURL: "https://api.celexta.com/v1",
apiKey: process.env.CELEXTA_API_KEY,
});
// Same call. Celexta routes it to the best model,
// then tracks cost, latency, and reliability.
const res = await client.chat.completions.create({
model: "auto",
messages: [{ role: "user", content: "Route this." }],
});Route every step of every agent.
Autonomous systems make thousands of decisions. Celexta routes each one — optimizing planning, tool use, memory, safety, and execution to reduce the cost per successful task.
Planning
Pick the right model for each reasoning step.
Tool use
Route tool calls to the cheapest capable path.
Memory
Decide what to recall, store, and forget.
Safety
Apply guardrails before execution, not after.
Execution
Run reliably, retry intelligently, fail gracefully.
Cost per task
Optimize for successful outcomes, not raw tokens.
Control the entire surface of AI execution.
Budgets, policies, and audit logs across every team and provider — audit events are content-free by design, and what Celexta retains is disclosed in plain language in our privacy policy.
Budgets
Set spend limits per team, key, and workload. No surprise bills.
Policies
Constrain which providers and models can serve which requests.
Audit logs
A complete, queryable record of every routed decision.
Provider controls
Allow, deny, and prioritize providers across your organization.
Data controls
Per-key prompt history with retention and training controls — disclosed, tiered, and yours to set.
Routing moves to the edge, the machine, and the silicon.
Intelligence will not stay in the data center. As reasoning spreads to devices, robots, and hardware, the routing layer follows it everywhere.
Edge AI
Routing that runs where the data lives — low latency, no round trip.
Robotics
Intelligence routed in real time for embodied machines and fleets.
Local + cloud reasoning
Decisions split fluidly between the device and the network.
Hardware-level routing
A future where routing is built into the silicon itself.