Now in early development

The experimentation engine for your AI products.

Bandito learns which model + prompt combo works best for your use-case. No more generic benchmarks or guessing.

import bandito

bandito.connect("bnd_...")
result = bandito.pull("my-chatbot", query=msg)
response = call_llm(result.model, result.prompt, msg)
bandito.update(result, reward=score)

Why Bandito

Getting AI to production is hard.
Keeping it there is too.

Go from demo to production, no sweat. Learn what actually works for your users. Protect your budget along the way.

Model Chaos

Opus 4.5, wait now it's 4.6! Kimi K2.5? New Grok? The model landscape changes weekly and your team is stuck in an endless evaluation loop.

Learning Models

Add models to the mix anytime. Bandito evaluates them against real traffic — no more manual eval sprints.

Hidden Cost & Latency

Customers love the feature — until you see the bill and 20-second response times. Cost and latency blindside you after launch.

Optimal Cost & Latency Trade-off

Cost & latency kill cool demos. Bandito optimizes the accuracy, cost & latency tradeoff for you.

Performance Drift

Sonnet is crushing it. Two weeks later, user dropout is up 30%. Model performance drifts silently and you're the last to know.

Continuous Learning

A model's performance slips? Bandito shifts traffic away from it.

Risky Updates

A new model tops 38 benchmarks — so you switch. Users hate it. Manual model swaps are high-risk, high-cost experiments.

Add & Learn

New models enter the mix safely — Bandito ramps traffic based on results, not gut feel.

How It Works

Three steps. Zero latency overhead.

No added latency, no extra infrastructure, no single point of failure. Your app keeps running even if the cloud is down.

STEP 01

Define

Set up the models and prompts you want to compare. Each combination becomes a variant that Bandito evaluates.

STEP 02

Pull

Bandito picks the best option locally in under 1ms. You call the LLM directly — Bandito is never in the request path.

STEP 03

Learn

Report the outcome. Bandito learns what works and shifts traffic to the best model + prompt combo automatically.

Intelligence That Compounds

Build confidence offline. Keep learning online.

Experiment in dev — compare models, grade responses, find the best combination before your users see it. Keep learning in production.

One workflow, dev to prod

Same tool from first experiment to production. No migration, no re-integration. Start small, scale up.

Human grading that compounds

Grade responses with a keystroke. Every grade teaches the system your quality bar — not a generic benchmark, yours. That data compounds over time.

Start in dev. Ship with confidence. Keep getting smarter.

Bandito is in early development. Join the waitlist to get early access.