Gateway API reference: Anthropic and OpenAI endpoints

The Raziel gateway exposes two protocol surfaces: a drop-in replacement for the Anthropic Messages API and an OpenAI-compatible chat completions endpoint. Both use your rz_live_… key for authentication and support streaming.

Anthropic-compatible endpoint

Send requests to https://raziel.fun/gateway/v1/messages in the same format you would send them to https://api.anthropic.com/v1/messages. The gateway forwards the request body unchanged to a live provider and returns the response in the same Anthropic shape.

When using the razi claude command, requests go through a local proxy at localhost:3099. The raziel.fun domain never appears in Claude Code’s network traffic.

Request

POST https://raziel.fun/gateway/v1/messages
Authorization: Bearer rz_live_xxxxxxxxxxxx
Content-Type: application/json
anthropic-version: 2023-06-01

{
  "model": "claude-sonnet-4-6",
  "max_tokens": 1024,
  "messages": [
    { "role": "user", "content": "Hello" }
  ]
}

Parameters

string

required

The model to use. See available models below.

array

required

Array of message objects with role (user or assistant) and content.

integer

required

Maximum number of tokens to generate in the response.

boolean

Set to true to receive a server-sent events stream. The gateway passes streaming through transparently.

string

System prompt passed directly to the model.

number

Sampling temperature between 0 and 1.

array

Tool definitions for function calling. Passed through to the provider unchanged.

Example: streaming request

curl https://raziel.fun/gateway/v1/messages \
  -H "Authorization: Bearer rz_live_xxxxxxxxxxxx" \
  -H "Content-Type: application/json" \
  -H "anthropic-version: 2023-06-01" \
  -d '{
    "model": "claude-sonnet-4-6",
    "max_tokens": 512,
    "stream": true,
    "messages": [{"role": "user", "content": "Hello"}]
  }'

import anthropic

client = anthropic.Anthropic(
    base_url="https://raziel.fun/gateway",
    api_key="rz_live_xxxxxxxxxxxx",
)

message = client.messages.create(
    model="claude-sonnet-4-6",
    max_tokens=512,
    messages=[{"role": "user", "content": "Hello"}],
)
print(message.content[0].text)

OpenAI-compatible endpoint

The gateway also speaks the OpenAI chat completions format at https://raziel.fun/gateway/openai/v1. Use it with any client that accepts a custom base URL — the OpenAI SDK, Hermes, Continue, LibreChat, and others.

Endpoints

Method	Path	Description
`POST`	`/gateway/openai/v1/chat/completions`	Create a chat completion
`GET`	`/gateway/openai/v1/models`	List available models

Request

POST https://raziel.fun/gateway/openai/v1/chat/completions
Authorization: Bearer rz_live_xxxxxxxxxxxx
Content-Type: application/json

{
  "model": "claude-sonnet-4-6",
  "messages": [
    { "role": "user", "content": "Hello" }
  ],
  "max_tokens": 512
}

Parameters

string

required

The model identifier. See available models below.

array

required

Array of message objects with role and content.

integer

Maximum number of tokens to generate.

number

Sampling temperature between 0 and 2.

boolean

Set to true to receive a server-sent events stream.

array

OpenAI-format tool definitions for function calling.

string | object

Tool selection strategy: "auto", "none", "required", or a specific tool object.

string | array

Up to 4 sequences where the API will stop generating.

number

Nucleus sampling parameter.

The following fields are accepted but silently ignored: logprobs, n, response_format, presence_penalty, frequency_penalty, seed. Requests that include them will succeed, but these parameters have no effect.

Example

from openai import OpenAI

client = OpenAI(
    base_url="https://raziel.fun/gateway/openai/v1",
    api_key="rz_live_xxxxxxxxxxxx",
)

resp = client.chat.completions.create(
    model="claude-sonnet-4-6",
    messages=[{"role": "user", "content": "Hello"}],
)
print(resp.choices[0].message.content)

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://raziel.fun/gateway/openai/v1",
  apiKey: "rz_live_xxxxxxxxxxxx",
});

const resp = await client.chat.completions.create({
  model: "claude-sonnet-4-6",
  messages: [{ role: "user", content: "Hello" }],
});
console.log(resp.choices[0].message.content);

curl https://raziel.fun/gateway/openai/v1/chat/completions \
  -H "Authorization: Bearer rz_live_xxxxxxxxxxxx" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "claude-sonnet-4-6",
    "messages": [{"role": "user", "content": "Hello"}]
  }'

Available models

Model ID	Description
`claude-opus-4-7`	Claude Opus 4.7 — most capable
`claude-sonnet-4-6`	Claude Sonnet 4.6 — balanced performance and speed
`claude-haiku-4-5-20251001`	Claude Haiku 4.5 — fastest responses

Use GET /gateway/openai/v1/models to retrieve the current model list programmatically.

Authentication

Both endpoints use the same Authorization: Bearer scheme.

Authorization: Bearer rz_live_xxxxxxxxxxxx

Alternatively, for the Anthropic-compatible endpoint you can pass your key as x-api-key:

x-api-key: rz_live_xxxxxxxxxxxx

Issue and manage keys from Customer → API Keys in the dashboard. Keys are shown in full only once at creation — store them immediately.

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Reference

Gateway API reference: Anthropic and OpenAI endpoints

Anthropic-compatible endpoint

Request

Parameters

Example: streaming request

OpenAI-compatible endpoint

Endpoints

Request

Parameters

Example

Available models

Authentication

​Anthropic-compatible endpoint

​Request

​Parameters

​Example: streaming request

​OpenAI-compatible endpoint

​Endpoints

​Request

​Parameters

​Example

​Available models

​Authentication

Anthropic-compatible endpoint

Request

Parameters

Example: streaming request

OpenAI-compatible endpoint

Endpoints

Request

Parameters

Example

Available models

Authentication