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Version: 0.1.5

LLM Proxy API

The LLM proxy exposes standard-compatible endpoints. Any client that speaks the OpenAI or Anthropic protocol can connect without modification.

Base URL: http://localhost:3000/v1

Authentication: Authorization: Bearer sk-rt-YOUR_PROJECT_TOKEN

Chat Completions​

POST /v1/chat/completions

OpenAI-compatible chat completions endpoint. Accepts the same request body as the OpenAI API.

Request​

{
  "model": "gpt-5-mini",
  "messages": [
    { "role": "system", "content": "You are a helpful assistant." },
    { "role": "user", "content": "Hello!" }
  ],
  "stream": false,
  "temperature": 0.7,
  "max_tokens": 1024
}

The model field can be:

  • A specific model ID registered in Routerly (e.g. gpt-5-mini)
  • Any value — Routerly will use its routing policies to pick the best model regardless

Response (non-streaming)​

Standard OpenAI ChatCompletion object, with an additional header:

x-routerly-trace-id: 018f3c2a-4b5d-7e8f-9012-34567890abcd

Response (streaming)​

When "stream": true, the response is a Server-Sent Events stream. Each event has one of the following types:

SSE data prefixDescription
data: {"type":"trace",...}Routing decision metadata (first event)
data: {"type":"content",...}Token chunk from the model
data: [DONE]End of stream

The trace event includes the selected model, policy scores, and request cost estimate.

Responses API​

POST /v1/responses

OpenAI Responses API compatible endpoint. Supports stateful multi-turn conversations via previous_response_id.

Request​

{
  "model": "gpt-5-mini",
  "input": "Tell me a joke.",
  "stream": false
}

Response​

Standard OpenAI Response object structure.

Anthropic Messages​

POST /v1/messages

Anthropic Messages API compatible endpoint. Use this with the Anthropic SDK by setting base_url to http://localhost:3000.

Request​

{
  "model": "claude-haiku-4-5",
  "max_tokens": 1024,
  "messages": [
    { "role": "user", "content": "Hello!" }
  ]
}

Response​

Standard Anthropic Message object.

Count Tokens​

POST /v1/messages/count_tokens

Anthropic-compatible token counting endpoint. Returns the number of input tokens for a given message set without making an inference call.

Request​

{
  "model": "claude-haiku-4-5",
  "messages": [
    { "role": "user", "content": "Hello!" }
  ]
}

Response​

{ "input_tokens": 10 }

Project-Scoped Proxy​

The same endpoints are available scoped to a specific project:

POST /projects/{slug}/v1/chat/completions
POST /projects/{slug}/v1/responses
POST /projects/{slug}/v1/messages

The project slug in the URL takes precedence over the slug inferred from the Bearer token. Use this when one token has access to multiple projects.

Streaming Protocol Details​

Routerly extends the standard SSE stream with a trace event at the start:

data: {"type":"trace","model":"gpt-5-mini","provider":"openai","policies":["health","cheapest"],"costEstimate":0.000025}

data: {"type":"content","delta":"Hello"}

data: {"type":"content","delta":" there"}

data: [DONE]

Clients that only look for data: lines starting after the trace event will receive standard OpenAI delta chunks and will not need modification.