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EIGEN ROUTE

Intelligent routing for Codex workflows.

Send a task. Get one eligible deployment, model, and reasoning effort pinned for the full turn.

Start routing ↗ See it work ↓
ROUTE DECISION ROUTE PINNED
“Update only README.md with a compact command reference.”
TYPEdocumentation RISKlow COMPLEXITY0.10 / 1
Deployment
local-Inference
Model
local-coding-model
Reasoning
none

Deterministic route evidence

ONE TURN.
ONE ROUTE.

Give us the task. EigenRoute analyzes, gates, pins, and verifies one policy-safe route—keeping small edits light and high-risk work capable.

  1. Analyze

    Tell us what needs to change. We classify the work, risk, complexity, intent, and capability needs.

  2. Gate

    We remove routes that miss your policy, health, context, budget, or capability requirements.

  3. Optimize

    We compare the eligible routes across outcome evidence, resource use, latency, and uncertainty.

  4. Pin

    You get one deployment, model, and reasoning effort held steady for the full turn.

  5. Verify

    Your repository checks record the outcome and strengthen the next decision.

TASK CHANGES.
ROUTE CHANGES.

Choose a task pattern and watch the deployment, model, and reasoning effort move with the work.

Update only README.md with a compact command reference.

Deployment
local-Inference
Model
local-coding-model
Reasoning
none

Your configured lanes, live health, policy, and route evidence shape every selection.

CONTROL
THE ROUTE.

Choose where the task runs, which model handles it, and how deeply it reasons.

DEPLOYMENT

Run locally, use your API access, or opt into the local Codex worker—within your policy.

MODEL

Choose from models that pass your context, capability, health, and policy gates.

REASONING

Match reasoning effort to the work while your security floors remain intact.

Eligible execution lanes

LOCAL MODEL

Local Inference

Run an open-weight model through your loopback Responses lane.

YOUR API

OpenAI

Use your API key while it stays inside the local edge process.

YOUR API

Claude

Discover key-authorized models and route through Responses translation.

TRUSTED WORKER

Codex subscription

Opt into the installed Codex runtime while Codex keeps ownership of sign-in.

DIRECT PATH

Native Codex

Keep selected Codex and ChatGPT traffic on the direct path.

SAVE FRONTIER
COMPUTE FOR
FRONTIER WORK.

CONTROL
BEFORE
EXECUTION.

01Task received

Codex sends the task and allowed repository context through the proxy profile.

02Signals read

The local edge derives task class, risk, complexity, intent, and tool needs.

03Candidates gated

Policy, health, context, capability, and budget requirements remove unsafe routes.

04Route selected

Only eligible deployments are compared across outcome, resource, and latency evidence.

05Route pinned

One deployment, model, and reasoning effort is signed and held for the turn.

Execution lanes

Local Inferenceloopback or tunnel
Your API accessOpenAI or Claude
Codex workerexplicit local opt-in

Native Codex stays direct. Traffic you exclude from EigenRoute bypasses this path.

ABOUT EIGENBIRD

AI SHOULD
ANSWER FOR
ITS WORK.

We build AI infrastructure for deliberate execution: decisions you can inspect, boundaries you control, and outcomes you can verify.

EigenRoute puts that idea to work for Codex. It selects one eligible deployment, model, and reasoning effort for each task, then uses repository checks to inform the next decision.

THE PEOPLE

Building the path from AI promise to reliable work.

Mridul Singh
FOUNDER & DIRECTOR

Mridul Singh

Leads product direction and company building across Eigenbird and Raum Network.

LINKEDIN
Madhur Verma
ENGINEERING & AI INFRASTRUCTURE

Madhur Verma

Builds production systems across AI infrastructure, distributed software, and Web3.

LINKEDIN

ASK
DIRECTLY.

What does EigenRoute do for me?

Send a Codex task and get one eligible deployment, model, and reasoning effort pinned for the full turn.

What can I route?

Route the deployment, model, and normalized reasoning effort while Codex remains your execution harness.

Can I use local models?

Yes. Use the Local lane when your local setup, loaded model, capability fit, policy, and health checks allow it.

Which execution lanes can I use?

Choose Local Inference, your OpenAI or Claude API access, or an opt-in local Codex subscription worker. Keep native Codex traffic direct through the bypass lane.

How does routing work?

We gate candidates against your policy, health, context, capabilities, budgets, and security floors, then compare the eligible routes using outcome evidence, resource use, latency, and uncertainty.

How do I stay in control?

Inspect structured decision metadata, keep native Codex traffic direct, run learned routing in shadow mode, and roll back when needed.