The spend-control layer for coding agents.
The spend-control layer for coding agents.
LeanRouter routes coding-agent requests to the lowest-cost approved model that can handle the job. Routine work stays efficient. Complex tasks escalate automatically.
Every PR review, test run, refactor, debug session, and CI helper call adds model spend.
The default: send everything to the strongest model.
LeanRouter changes that.
Developers stay happy. Spend stays controlled.
LeanRouter sits between your internal coding agents and approved model providers, evaluates each request, then selects the lowest-cost eligible model for the job. Not the biggest model by default. Not the cheapest model blindly. The right model for the coding job.
Evaluate coding task type, repo context, and complexity before any model sees the prompt.
Enforce quality floors, security policy, and budget rules before any routing decision is made.
Route to the efficient model first. Escalate only when the task genuinely needs it.
Routine agent traffic should not take the same premium path as architecture work or high-risk debugging. LeanRouter keeps simple work on efficient models and escalates only when the job actually needs it.
Routine requests move off the premium path. Hard tasks still escalate.
LeanRouter runs the same control loop on every coding-agent request: classify the work, protect policy, reduce tokens, route through approved providers, and log the decision.
Classify code edits, tests, refactors, debugging, documentation, and CI workflows before choosing a model.
Reserve expensive reasoning models for tasks that actually need them.
Apply different routing rules by team, repo, environment, or sensitivity level.
Compress repetitive context, logs, tool output, and chat history where policy allows.
Limit routing to approved providers, regions, model families, and private inference options.
Show every selected model, excluded model, fallback, escalation, token count, and cost estimate.
Point coding agents, PR bots, CI helpers, and developer tools at LeanRouter instead of hardcoding one expensive model.
Define approved providers, model families, repositories, data-handling rules, budgets, escalation settings, and logging policy.
Reduce unnecessary tokens before routing while preserving original request metadata according to policy.
LeanRouter classifies the coding task and chooses the lowest-cost eligible model.
Complex debugging, risky refactors, long-context reasoning, and high-impact production work can move to stronger models automatically.
See model selected, reason selected, excluded models, estimated cost, avoided spend, latency, compression, fallback, and escalation.
LeanRouter can route coding-agent prompts to a model running on your own infrastructure before sending traffic to external providers.
Companies can keep routine coding work on local GPU capacity, apply the same routing policies they use for cloud models, and reserve frontier-model spend for the requests that actually need deeper reasoning or premium quality.
Local capacity handles the predictable work. Frontier models stay available for the hard problems.
LeanRouter checks governance rules before model execution. A cheaper model only becomes eligible after provider, region, logging, sensitivity, and budget controls pass.
Blocked routes never execute. Approved routes optimize for cost.
AI infrastructure consumes electricity, and the environmental impact of AI depends on the amount of compute used, the efficiency of the systems running it, and the carbon intensity of the energy powering those systems.
LeanRouter is built around a simple idea: the most sustainable AI request is the one that does not use more model than it needs.
By routing routine coding work to efficient models and reserving larger frontier models for the tasks that truly need them, LeanRouter helps teams reduce unnecessary compute demand.
And to address the impact we cannot eliminate, we support climate projects designed to reduce the carbon impact associated with our model usage.
Smarter routing is better for your budget and better for the planet.
Generic AI gateways help teams access models. LeanRouter helps engineering teams control the cost of internal coding-agent traffic.
Route any prompt to any model. Useful for product teams accessing LLMs for general-purpose features and applications.
Classify and route coding-agent requests specifically. Understand the difference between a test generation job and a production debugging session - and price them accordingly.
LeanRouter gives platform, engineering, security, and finance teams a shared layer for controlling how models are used across internal coding tools.
One routing API instead of constant model-by-model rewrites across coding tools.
Visibility into where coding-agent spend is going and where it can be reduced.
Provider and code-handling policies enforced before requests are routed.
Better model selection without slowing engineering velocity.
LeanRouter turns internal coding-agent usage into an operating metric.
Connect your coding tools once. LeanRouter enforces model, provider, budget, and security policy on every request so routine work stays efficient and hard work escalates.
