Cut your agent bill in half
Governor grounds every request in your code and routes it to the best model, so quality holds while spend falls.
- Claude Code
- Cursor
- Codex
- Github Copilot
Customer A/B
Same tasks, same harness
25 min → 8.5 min
Trusted by teams at
Your agents burn budget looking, not building
Your agent opens a task and starts hunting. It greps the codebase, re-reads its own transcript, and burns through context looking for where the change belongs.
The fix it finally writes is a fraction of what the search cost, in dollars and in minutes.
Session study, one real 10-task session, $6.81
Governor sits where your spend is decided
Governor is one layer between your coding agents and your models, and it cuts your bill two ways at once.
Bito’s code context engine maps your codebase so agents stop paying to search it.
Model Router sends each request to the best model, so you stop overpaying for simple work.
Agents stop paying to find your code.
Simple work stops paying frontier prices.
Half the cost, same quality
Cost drops as the agent searches less and routes each request to the best model.
One base URL, and nobody changes how they work
Governor speaks the Anthropic and OpenAI APIs, so pointing an agent at it is one environment variable.
Requests keep their model, their streaming, and their tool calls, and it runs alongside your existing gateway on your own provider keys.
YOUR AGENTS
Unchanged. One base-URL swap.
GOVERNOR
AI Architect
✦ CONTEXTHands each request a map of your code, so agents skip the search.
Model router
→ RIGHT MODELScores complexity and sends each request to the right-sized model.
Cost = tokens × price. Governor cuts both.
YOUR MODELS
Your keys, your accounts, direct or through your existing gateway.
Other routers cut the price of a token.
Governor also cuts how many you use.
Two levers, not one
A router only cuts the price of a token. Governor also cuts how many you spend, and the two multiply.
Context for the whole org
An MCP helps only the engineers who install it. Governor serves the same context server-side, to everyone at once.
System-aware routing
Ordinary gateways route by price and latency. Governor decides against a live graph of your services and dependencies.
See and prove every dollar
Agent spend is invisible today. Governor puts it in one place, and lets you keep measuring the lift rather than take our word for a benchmark.
- One admin view
Tokens, spend, and routing decisions across every agent and team, in one place.
- Budgets per key
Set spend limits per team or per key, caps that manage cost without capping productivity.
- Measure the lift, continuously
An on/off option measures savings on a rolling basis against your own traffic, not a one-time benchmark.
Bito grounds every stage of development
One knowledge graph of your codebase powers your design, coding, and review, the same context behind Governor.
Enterprise-ready
No code storage or model training
Your code stays yours. No code is stored. No model is trained.
Flexible deployment
Deploy on-prem or in Bito cloud, your choice.
Security and compliance
SOC 2 Type II certified. End-to-end encrypted.
Frequently asked questions
Bito puts engineering teams back in control of their agent spend. Governor, its core product, is a router that knows your code. Unlike routers that decide on the prompt alone, it grounds each request in your code, then sends it to the best model, cutting both how many tokens you spend and what each one costs.
No. Pointing an agent at Governor is one environment variable. Your streaming and tool calls work exactly as before, and it runs on your own provider keys.
Milliseconds in, minutes out. Governor adds single-digit milliseconds per request, while sessions finish in a third of the time because the search disappears. In the session study, the same 10 tasks went from 25.3 minutes to 8.5 with the right context served up front.
Routing decisions come from the structural complexity of what the task actually touches: services, dependency depth, blast radius, scored against the live graph of your system rather than surface guesses about the prompt. In the customer A/B, task success held at 100% on both sides. You can also pin routes or set a quality floor per key.
No. Your code is never stored and never used to train models. Governor is SOC 2 Type II certified, end-to-end encrypted, and runs in Bito cloud or on-prem. Every model request runs on your own provider accounts.
No, Governor runs alongside it. Your existing gateway handles access: auth, rate limits, failover. Governor is the decision layer in front of it, grounding each request in your codebase and picking the model. Point Governor at your gateway and keep everything else.
Model routers decide from the prompt and change the price per token. Governor knows your codebase, so it also cuts the token count, the bigger lever, since about two-thirds of agent spend is re-reading context the agent hunted for. It works both factors of cost = tokens × price, and the savings multiply.
Two ways. Before adopting, we run a controlled A/B on your own tasks: same agent, same tasks, Governor the only variable. After adopting, a built-in on/off option keeps measuring the lift on a rolling basis, so the number is always yours, not ours.
