API Documentation

# Linux / macOS
export ANTHROPIC_BASE_URL=https://api.mitdotkey.com
export ANTHROPIC_API_KEY=mdk-xxxxxxxxxx

# Then launch Claude Code normally
claude

# Windows PowerShell
$env:ANTHROPIC_BASE_URL="https://api.mitdotkey.com"
$env:ANTHROPIC_API_KEY="mdk-xxxxxxxxxx"

claude --model aws/claude-opus-4-6
claude --model aws/claude-sonnet-4-6
claude --model aws/claude-haiku-4-5

{
  "env": {
    "ANTHROPIC_BASE_URL": "https://api.mitdotkey.com",
    "ANTHROPIC_API_KEY": "mdk-xxxxxxxxxx"
  }
}

{
  "models": [
    {
      "title": "Claude Sonnet 4.6 (MitdotKey)",
      "provider": "openai",
      "model": "aws/claude-sonnet-4-6",
      "apiKey": "mdk-xxxxxxxxxx",
      "apiBase": "https://api.mitdotkey.com/v1"
    },
    {
      "title": "GPT-5.2 (MitdotKey)",
      "provider": "openai",
      "model": "gpt/gpt-5.2",
      "apiKey": "mdk-xxxxxxxxxx",
      "apiBase": "https://api.mitdotkey.com/v1"
    }
  ],
  "tabAutocompleteModel": {
    "title": "Claude Haiku 4.5",
    "provider": "openai",
    "model": "aws/claude-haiku-4-5",
    "apiKey": "mdk-xxxxxxxxxx",
    "apiBase": "https://api.mitdotkey.com/v1"
  }
}

{
  "models": {
    "providers": {
      "mitdotkey": {
        "baseUrl": "https://api.mitdotkey.com/v1",
        "apiKey": "mdk-xxxxxxxxxx",
        "api": "openai-completions",
        "models": [
          {
            "id": "aws/claude-opus-4-6",
            "name": "Claude Opus 4.6 (AWS)",
            "reasoning": true,
            "input": ["text"],
            "contextWindow": 1000000,
            "maxTokens": 128000
          }
        ]
      }
    },
    "agents": {
      "defaults": {
        "model": {
          "primary": "mitdotkey/aws/claude-opus-4-6"
        }
      }
    }
  }
}

from openai import OpenAI

client = OpenAI(
    api_key="mdk-xxxxxxxxxx",
    base_url="https://api.mitdotkey.com/v1",
)

response = client.chat.completions.create(
    model="aws/claude-sonnet-4-6",
    messages=[
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": "Explain quantum entanglement in simple terms."},
    ],
    max_tokens=512,
)

print(response.choices[0].message.content)

from openai import OpenAI

client = OpenAI(
    api_key="mdk-xxxxxxxxxx",
    base_url="https://api.mitdotkey.com/v1",
)

with client.chat.completions.stream(
    model="aws/claude-sonnet-4-6",
    messages=[{"role": "user", "content": "Write a short poem about the ocean."}],
) as stream:
    for text in stream.text_stream:
        print(text, end="", flush=True)

from openai import OpenAI

client = OpenAI(
    api_key="mdk-xxxxxxxxxx",
    base_url="https://api.mitdotkey.com/v1",
)

response = client.chat.completions.create(
    model="gpt/gpt-5.2",
    messages=[
        {
            "role": "user",
            "content": [
                {"type": "text", "text": "What is in this image?"},
                {
                    "type": "image_url",
                    "image_url": {"url": "https://example.com/photo.jpg"},
                },
            ],
        }
    ],
)

print(response.choices[0].message.content)

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: "mdk-xxxxxxxxxx",
  baseURL: "https://api.mitdotkey.com/v1",
});

async function main() {
  const response = await client.chat.completions.create({
    model: "aws/claude-sonnet-4-6",
    messages: [
      { role: "system", content: "You are a helpful assistant." },
      { role: "user", content: "What is the capital of France?" },
    ],
    max_tokens: 256,
  });

  console.log(response.choices[0].message.content);
}

main();

const stream = await client.chat.completions.create({
  model: "aws/claude-sonnet-4-6",
  messages: [{ role: "user", content: "Tell me a joke." }],
  stream: true,
});

for await (const chunk of stream) {
  process.stdout.write(chunk.choices[0]?.delta?.content ?? "");
}

from anthropic import Anthropic

client = Anthropic(
    api_key="mdk-xxxxxxxxxx",
    base_url="https://api.mitdotkey.com",
)

message = client.messages.create(
    model="aws/claude-sonnet-4-6",
    max_tokens=512,
    messages=[
        {"role": "user", "content": "Explain quantum entanglement in simple terms."}
    ],
)

print(message.content[0].text)

import Anthropic from "@anthropic-ai/sdk";

const anthropic = new Anthropic({
  apiKey: "mdk-xxxxxxxxxx",
  baseURL: "https://api.mitdotkey.com",
});

const message = await anthropic.messages.create({
  model: "aws/claude-sonnet-4-6",
  max_tokens: 512,
  messages: [
    { role: "user", content: "Explain quantum entanglement in simple terms." },
  ],
});

console.log(message.content[0].type === "text" ? message.content[0].text : message.content);

curl https://api.mitdotkey.com/v1/chat/completions \
  -H "Authorization: Bearer mdk-xxxxxxxxxx" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "aws/claude-sonnet-4-6",
    "messages": [
      {"role": "system", "content": "You are a helpful assistant."},
      {"role": "user", "content": "Hello, how are you?"}
    ],
    "max_tokens": 256
  }'

curl https://api.mitdotkey.com/v1/messages \
  -H "x-api-key: mdk-xxxxxxxxxx" \
  -H "anthropic-version: 2023-06-01" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "aws/claude-sonnet-4-6",
    "messages": [
      {"role": "user", "content": "Hello, how are you?"}
    ],
    "max_tokens": 256
  }'

from openai import OpenAI
import json

client = OpenAI(
    api_key="mdk-xxxxxxxxxx",
    base_url="https://api.mitdotkey.com/v1",
)

tools = [
    {
        "type": "function",
        "function": {
            "name": "get_weather",
            "description": "Get the current weather for a city.",
            "parameters": {
                "type": "object",
                "properties": {
                    "city": {
                        "type": "string",
                        "description": "The city name, e.g. 'Hanoi'",
                    },
                    "unit": {
                        "type": "string",
                        "enum": ["celsius", "fahrenheit"],
                    },
                },
                "required": ["city"],
            },
        },
    }
]

response = client.chat.completions.create(
    model="aws/claude-sonnet-4-6",
    messages=[{"role": "user", "content": "What is the weather in Hanoi?"}],
    tools=tools,
    tool_choice="auto",
)

message = response.choices[0].message
if message.tool_calls:
    tool_call = message.tool_calls[0]
    args = json.loads(tool_call.function.arguments)
    print(f"Function: {tool_call.function.name}")
    print(f"Arguments: {args}")

from openai import OpenAI

client = OpenAI(
    api_key="mdk-xxxxxxxxxx",
    base_url="https://api.mitdotkey.com/v1",
)

response = client.images.generate(
    model="gemini-2.5-flash-image",
    prompt="A serene mountain lake at sunrise, photorealistic, 4K",
    n=1,
    size="1024x1024",
)

print(response.data[0].url)

import time
import requests

API_KEY = "mdk-xxxxxxxxxx"
BASE = "https://api.mitdotkey.com/v1"
HEADERS = {"Authorization": f"Bearer {API_KEY}", "Content-Type": "application/json"}

# Step 1: Submit the job
resp = requests.post(f"{BASE}/video/create", headers=HEADERS, json={
    "model": "max/veo-3.1",
    "prompt": "A golden retriever running on a beach at sunset, cinematic",
})
resp.raise_for_status()
task_id = resp.json()["task_id"]
print(f"Job submitted: {task_id}")

# Step 2: Poll until done
while True:
    status_resp = requests.get(f"{BASE}/videos/{task_id}", headers=HEADERS)
    data = status_resp.json()
    state = data.get("status")
    print(f"Status: {state}")
    if state == "completed":
        print(f"Video URL: {data['url']}")
        break
    elif state == "failed":
        print(f"Error: {data.get('error')}")
        break
    time.sleep(5)

{
  "error": {
    "message": "Incorrect API key provided. Please check your key and try again.",
    "type": "invalid_request_error",
    "code": "invalid_api_key"
  }
}