AI Router

AI Router gives one stable AI endpoint for a group of AI Gateways. It routes each request through configured gateway routes, spreads traffic by weight inside the same tier, and falls back to the next tier when retryable failures happen.

Use it when you want:

• One endpoint for your application instead of hard-coding one AI provider.
• Weighted traffic split across multiple gateways.
• Fallback from a primary provider to backup providers during outages or rate limits.
• A migration path where you can move traffic gradually by changing weights.

How it relates to AI Gateway

AI Gateway is still the unit that stores provider credentials, custom base URLs, model pricing, quota alerts, and gateway logs. AI Router does not replace that.

AI Router only decides which gateway route should receive the request.

The runtime flow is:

1. Your application calls an AI Router endpoint.
2. AI Router finds the router by workspace ID and router ID.
3. AI Router chooses an eligible gateway route from the first tier.
4. The selected AI Gateway sends the request to the upstream AI provider.
5. If the attempt succeeds, AI Router returns that response.
6. If the attempt fails with a retryable error, AI Router tries another route in the same tier, then the next tier.

Prerequisites

Before adding routes, create at least one AI Gateway with a stored model API key. Gateways without a stored key are not shown in the AI Router route picker.

Runtime requests still need a Tianji API key:

• For OpenAI-compatible endpoints, send Authorization: Bearer <YOUR_TIANJI_API_KEY>.
• For Anthropic Messages endpoints, send x-api-key: <YOUR_TIANJI_API_KEY>.

Tianji verifies the caller API key, then uses the stored AI Gateway provider key for the upstream request.

Create a router

1. Open AI Router in the Tianji sidebar.
2. Click Add AI Router.
3. Enter a router name.
4. Keep Enabled on if the router should accept runtime traffic.
5. Save the router.

After the router is created, open the Routes tab to configure tiers and gateway routes.

Tiers

A tier is a fallback level.

Requests always start at the first tier. If a retryable failure happens, AI Router keeps trying eligible routes in that tier. If every eligible route in the tier fails, AI Router moves to the next tier.

Use multiple tiers when you want strict fallback order.

Example:

Tier	Routes	Meaning
Tier 1	OpenAI primary, OpenRouter primary	Normal production traffic
Tier 2	DeepSeek backup	Backup after primary providers fail
Tier 3	Custom internal model	Last-resort fallback

Drag tiers to reorder them. The top tier is tried first.

Weights inside a tier

Routes inside the same tier do not have a fixed order. They share traffic by weight.

Example:

Route	Weight	Approximate first-attempt share
Gateway A	80	80%
Gateway B	20	20%

This is useful for:

• Random traffic split across providers.
• Gradual migration from one provider to another.
• Canarying a new gateway with a small percentage of traffic.

If you need strict order, put the routes in different tiers instead of the same tier.

Add a gateway route

On the Routes tab:

1. Click Add Gateway inside a tier.
2. Select an existing AI Gateway.
3. Select the provider mode for this route.
4. Set the route options.
5. Save.

You can edit or delete a route later from the route card.

Provider

Provider controls how AI Router calls the selected AI Gateway for this route. The same AI Gateway can be used in different routes with different provider modes if that matches your setup.

Supported provider values:

• openai
• deepseek
• anthropic
• openrouter
• custom

For custom, AI Router uses the custom model settings stored on the selected AI Gateway, such as custom base URL and custom model name.

Weight

Weight controls how traffic is distributed between routes in the same tier. Higher weight means the route is more likely to be tried first.

Default: 100.

Model Override

Model Override is optional.

When set, AI Router replaces the request model with this value before sending the request to the selected gateway route. Leave it empty if the application request should decide the model.

Timeout

Timeout is the maximum time for one gateway attempt.

Default: 30000ms.

If the attempt times out, AI Router treats it as retryable and can try the next eligible route.

Retryable Status Codes

AI Router always treats network errors, timeouts, and these status codes as retryable:

• 429
• 500
• 502
• 503
• 504

Use Retryable Status Codes to add more status codes for a route. For example, you can add 408 if a provider often reports request timeout as an HTTP response.

Be careful with validation errors such as 400 or 401. Those usually mean the request or key is wrong, and retrying another provider can hide the real problem.

Logs

The Logs tab shows runtime attempts for a router:

• Status: Success, Failed, or Partial.
• Protocol: the matched request protocol.
• Attempts: how many gateway routes were tried.
• Final Gateway: the gateway that produced the final result.
• Final Gateway Log: the linked AI Gateway log ID.
• Duration.

Use router logs to understand failover behavior. Use the linked AI Gateway logs to inspect token usage, upstream model details, cost, and provider response data.