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Local AI router · Routing

9Router

9Router is worth studying when several coding tools need one local OpenAI-compatible entry point and you want routing, quota and provider decisions outside each individual client.

Third-party guideReviewed 2026-09-26http://localhost:20128/v1
Independent guide This is a third-party tool; these guides are not DeveloperHA products. Features, providers, pricing and security defaults can change; verify the official documentation before installing or sending private data.

What it does

A local routing layer for coding assistants and AI tools that can normalize requests, track quotas and apply configured fallback routes.

1
Your CLI, editor or agent sends a request to the local gateway.

Your CLI, editor or agent sends a request to the local gateway.

2
The gateway translates or normalizes the request for the selected upstream route.

The gateway translates or normalizes the request for the selected upstream route.

3
Routing rules decide which account or provider is used, and fallback behavior handles configured failures.

Routing rules decide which account or provider is used, and fallback behavior handles configured failures.

4
The response returns through the gateway to the original coding tool.

The response returns through the gateway to the original coding tool.

Who it may fit

Choose based on the workflow and trust boundary, not only the feature list.

Good fit for

  • Developers switching between several coding assistants
  • Local experimentation with provider routing
  • Teams evaluating quota and fallback behavior before building a gateway

Verify before using

  • A local process can still forward prompts to hosted providers.
  • Provider compatibility, defaults and supported clients can change; check the official repository before an upgrade.
  • Do not expose a local router to the public internet without authentication, TLS and a deliberate access policy.

Setup outline

Use this as a mental checklist, then follow the official documentation for the current install and configuration details.

1
Read the current official README and security notes.
2
Run it in a disposable local environment first.
3
Point a non-sensitive OpenAI-compatible client at the documented local endpoint.
4
Verify logs, key storage, upstream routing and fallback behavior before connecting private repositories.
Illustrative endpoint or configuration
var client = new OpenAIClient(new OpenAIClientOptions
{
    Endpoint = new Uri("http://localhost:20128/v1")
});

// Use the client-specific authentication and model configuration
// described by the current 9Router documentation.
Data and security reminder A local endpoint does not prove that prompts stay local. Check upstream provider routes, request logs, retention, model training policy, secret storage, network exposure and fallback behavior before using private code or customer data.

Official sources

These links are the authority for current installation, capabilities, releases and security notices.

Official GitHub README ↗Official repository ↗9Router website ↗

This editorial page was reviewed on 2026-09-26. Project details may change between reviews.

Related AI learning

Ai Routing Gateways →Ai Fundamentals →Prompt Engineering →

Related AI tools

OmniRoute →LiteLLM →

Want to understand the engineering trade-offs?

Use the AI learning paths for fundamentals, prompt design, agents, routing and safe development workflows.

Open AI learningSee packages