The runtime cost-governance plane for autonomous AI agents.
Session-aware control · runtime halts · execution visibility
Session awareness
Every agent run tracked as a governed session
Runtime control
Halt loops before spend escapes your budget
Economic intelligence
Per-step cost, tier, and model visibility
Execution visibility
Factual traces — not black-box routing
One loop. One budget. One halt.
Watch an agent run set a $0.10 budget, fire four identical prompts, and get a 429 loop halt from the governor before the fifth call ever leaves the wire.
Step 1
Set X-Modelith-Budget-Limit: 0.10
Step 2
Run the same prompt four times
Step 3
Governor returns 429 LOOP DETECTED
Prefer hands-on? The same loop runs in the Session Sandbox with a real mlth_ key.
Universal Provider Support.
Bring your own API keys. Modelith acts as the ultimate universal proxy, natively supporting every major tier-1 model on earth with a single drop-in SDK replacement.
Watch the governor score, route, and decide.
Each step the runtime sees: complexity score, tier, model, USD cost. Every decision is traceable.
Runtime engine, not a gateway skin.
Every request is scored, governed, and traced. You get economic intelligence on autonomous workloads — not just cheaper tokens.
Complexity scoring
Signal before spend
Each prompt is scored 1–10 by six weighted analyzers before dispatch. Simple work stays on fast tiers; hard reasoning escalates with full trace metadata.
Session halts
Stop loops that bleed budget
Per-session budgets and governor halts catch runaway agents before they burn through your monthly cap — with a factual step trace in the dashboard.
Execution economics
Cost per step, not guesswork
Dashboard logs show tier, model, tokens, and USD per request. BYOK or platform routing — every cent accounted for in an immutable ledger.
Team-wide visibility
One dashboard for every agent run
Aggregate spend across engineers, projects, and sessions. Export the ledger to your finance tools without building a custom pipeline.
Built for the teams that already ship agents.
Three personas, one runtime. Pick the one that sounds like you.
Kilo, Continue, Cursor teams
You ship an IDE plugin that runs agent loops on your users' machines. The risk is a runaway loop on a user account with no upper bound. Modelith gives you a server-side budget per session, a halt on the 4th duplicate prompt, and a 402 the moment spend crosses the cap — no client cooperation required.
- Per-session halts in <200ms
- OpenAI-compatible drop-in
- Dashboard for your support team
Custom agent startups
You build agents in production for a specific vertical — legal, sales, healthcare ops. Your customers want predictable costs and audit trails. Modelith turns your token spend into a per-task ledger your customer's finance team can read, with a trust center you can hand to their security review.
- Immutable per-task ledger
- Paddle billing rail
- Trust center for buyers
Regulated industries
You need every agent call to be auditable, every spend to be within budget, and every loop to halt before it becomes an incident. Modelith is the runtime layer your compliance team can reason about: deterministic scoring, server-side enforcement, no black-box ML, and SOC 2 / HIPAA BAA available on enterprise.
- Server-side halts, non-overridable
- Deterministic 6-analyzer engine
- SOC 2 / HIPAA BAA on enterprise
How it works in 3 steps
A simple drop-in replacement for the OpenAI SDK. Deploy in minutes.
Drop-in the endpoint
Change your base URL from api.openai.com to api.modelith.cloud/api/v1/routing. Keep your existing SDKs and code untouched.
Session-aware tier routing
Modelith scores each request, applies your routing mode, and escalates only when needed. Every decision is traceable in the dashboard.
Govern execution economics
Set budget boundaries, halt runaway loops, and audit cost-per-step so your team can scale agents with control instead of guesswork.
Run your first governed session this week.
Two paths: Free tier with 1,000 requests/month and the full governor on, or join the 8 design-partner cohort for 6 months free, weekly feedback, and a public case study at the end.
- OpenAI-compatible — change one base URL, keep every SDK.
- Paddle billing, prepaid wallet, or BYOK.
- Real-time dashboard: cost per step, halt history, full trace.
Example request
POST /api/v1/routing/chat/completions
model: "auto"
x_modelith_mode: balanced
headers:
Authorization: Bearer mlth_…
X-Modelith-Session-Id: run-7a3f
X-Modelith-Budget-Limit: 0.10
Response includes x_modelith metadata — tier, model, complexity score, USD, latency — so your dashboard and your agents stay accountable.
Define Your Technical Architecture
How many tokens is your infrastructure processing monthly?