> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.milliseconds.ai/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.milliseconds.ai/_mcp/server.

# OpenAI-compatible chat completions

POST https://api.milliseconds.ai/v1/chat/completions
Content-Type: application/json

Drop-in for OpenAI clients with `model: "decision-machine-1"`. Two modes: `response_format: { type: "json_schema" }` extracts the schema from the user messages and returns the JSON as the assistant content; `tools` picks a tool and fills its arguments (function calling). Plain chat is rejected with 400. `stream: true` returns one chunk then \[DONE].

Reference: https://docs.milliseconds.ai/api/openai/chat-completions

## Authentication

- `Authorization` header (bearer token, required) — A milliseconds API key, test\_sk-\{namespace}-\{entropy} or prod\_sk-\{namespace}-\{entropy}. Every /v1 route requires it.

## Request

### Body (application/json)

This endpoint expects a ChatCompletionRequest.

- `model` (string, required)
- `messages` (list of ChatCompletionRequestMessagesItems, required)
- `response_format` (ChatCompletionRequestResponseFormat, optional)
- `tools` (list of ChatCompletionRequestToolsItems, optional)
- `tool_choice` (ChatCompletionRequestToolChoice, optional)
- `stream` (boolean, optional)

## Response

### 200

Completion

- `id` (string, required)
- `object` ("chat.completion", required)
- `created` (integer, required)
- `model` (string, required)
- `choices` (list of ChatCompletionResponseChoicesItems, required)
- `usage` (ChatCompletionResponseUsage, required)

## Errors

### 400 Bad Request Error

Invalid or unsupported request

- `error` (ErrorError, required)

## Types

### ChatCompletionRequestMessagesItems

- `role` (enum, required)
  - Allowed values: `system`, `user`, `assistant`, `tool`, `developer`
- `content` (ChatCompletionRequestMessagesItemsContent, optional, nullable)

### ChatCompletionRequestResponseFormat

- ChatCompletionRequestResponseFormat0
- ChatCompletionRequestResponseFormat1
- ChatCompletionRequestResponseFormat2

### ChatCompletionRequestToolsItems

- `type` ("function", required)
- `function` (ChatCompletionRequestToolsItemsFunction, required)

### ChatCompletionRequestToolChoice

- enum
  - Allowed values: `none`, `auto`, `required`
- ChatCompletionRequestToolChoice1

### ChatCompletionResponseChoicesItems

- `index` (integer, required)
- `message` (ChatCompletionResponseChoicesItemsMessage, required)
- `finish_reason` (enum, required)
  - Allowed values: `stop`, `tool_calls`

### ChatCompletionResponseUsage

- `prompt_tokens` (integer, required)
- `completion_tokens` (integer, required)
- `total_tokens` (integer, required)

### ErrorError

- `code` (string, required)
- `message` (string, required)

### ChatCompletionRequestMessagesItemsContent

- string
- list of ChatCompletionRequestMessagesItemsContentOneOf1Items

### ChatCompletionRequestResponseFormat0

- `type` ("json_schema", required)
- `json_schema` (ChatCompletionRequestResponseFormatOneOf0JsonSchema, required)

### ChatCompletionRequestResponseFormat1

- `type` ("json_object", required)

### ChatCompletionRequestResponseFormat2

- `type` ("text", required)

### ChatCompletionRequestToolsItemsFunction

- `name` (string, required)
- `description` (string, optional)
- `parameters` (map from string to any, optional)

### ChatCompletionRequestToolChoice1

- `type` ("function", required)
- `function` (ChatCompletionRequestToolChoiceOneOf1Function, required)

### ChatCompletionResponseChoicesItemsMessage

- `role` ("assistant", required)
- `content` (string, required, nullable)
- `tool_calls` (list of ChatCompletionResponseChoicesItemsMessageToolCallsItems, optional)

### ChatCompletionRequestMessagesItemsContentOneOf1Items

- `type` (string, required)
- `text` (string, optional)
- `image_url` (ChatCompletionRequestMessagesItemsContentOneOf1ItemsImageUrl, optional)

### ChatCompletionRequestResponseFormatOneOf0JsonSchema

- `schema` (map from string to any, required)
- `name` (string, optional)
- `strict` (boolean, optional)

### ChatCompletionRequestToolChoiceOneOf1Function

- `name` (string, required)

### ChatCompletionResponseChoicesItemsMessageToolCallsItems

- `id` (string, required)
- `type` ("function", required)
- `function` (ChatCompletionResponseChoicesItemsMessageToolCallsItemsFunction, required)

### ChatCompletionRequestMessagesItemsContentOneOf1ItemsImageUrl

- `url` (string, required)
- `detail` (string, optional)

### ChatCompletionResponseChoicesItemsMessageToolCallsItemsFunction

- `name` (string, required)
- `arguments` (string, required)

## Examples

**Request**

```json
{
  "model": "decision-machine-1",
  "messages": [
    {
      "role": "user",
      "content": "Book me a table for 4 at Nobu on Friday at 8pm"
    }
  ],
  "response_format": {
    "json_schema": {
      "name": "booking",
      "schema": {
        "properties": {
          "day": {
            "type": "string"
          },
          "party_size": {
            "type": "integer"
          },
          "restaurant": {
            "type": "string"
          },
          "time": {
            "type": "string"
          }
        },
        "type": "object"
      }
    },
    "type": "json_schema"
  }
}
```

**Response**

```json
{
  "id": "chatcmpl-7f3a1c2e9b8d4e6f0a1b2c3d",
  "object": "chat.completion",
  "created": 1789000000,
  "model": "decision-machine-1",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "{\"restaurant\":\"Nobu\",\"party_size\":4,\"day\":\"Friday\",\"time\":\"8pm\"}"
      },
      "finish_reason": "stop"
    }
  ],
  "usage": {
    "prompt_tokens": 12,
    "completion_tokens": 16,
    "total_tokens": 28
  }
}
```

**SDK Code**

```python openai_chatCompletions_example
import requests

url = "https://api.milliseconds.ai/v1/chat/completions"

payload = {
    "model": "decision-machine-1",
    "messages": [
        {
            "role": "user",
            "content": "Book me a table for 4 at Nobu on Friday at 8pm"
        }
    ],
    "response_format": {
        "json_schema": {
            "name": "booking",
            "schema": {
                "properties": {
                    "day": { "type": "string" },
                    "party_size": { "type": "integer" },
                    "restaurant": { "type": "string" },
                    "time": { "type": "string" }
                },
                "type": "object"
            }
        },
        "type": "json_schema"
    }
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.json())
```

```javascript openai_chatCompletions_example
const url = 'https://api.milliseconds.ai/v1/chat/completions';
const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: '{"model":"decision-machine-1","messages":[{"role":"user","content":"Book me a table for 4 at Nobu on Friday at 8pm"}],"response_format":{"json_schema":{"name":"booking","schema":{"properties":{"day":{"type":"string"},"party_size":{"type":"integer"},"restaurant":{"type":"string"},"time":{"type":"string"}},"type":"object"}},"type":"json_schema"}}'
};

try {
  const response = await fetch(url, options);
  const data = await response.json();
  console.log(data);
} catch (error) {
  console.error(error);
}
```

```go openai_chatCompletions_example
package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://api.milliseconds.ai/v1/chat/completions"

	payload := strings.NewReader("{\n  \"model\": \"decision-machine-1\",\n  \"messages\": [\n    {\n      \"role\": \"user\",\n      \"content\": \"Book me a table for 4 at Nobu on Friday at 8pm\"\n    }\n  ],\n  \"response_format\": {\n    \"json_schema\": {\n      \"name\": \"booking\",\n      \"schema\": {\n        \"properties\": {\n          \"day\": {\n            \"type\": \"string\"\n          },\n          \"party_size\": {\n            \"type\": \"integer\"\n          },\n          \"restaurant\": {\n            \"type\": \"string\"\n          },\n          \"time\": {\n            \"type\": \"string\"\n          }\n        },\n        \"type\": \"object\"\n      }\n    },\n    \"type\": \"json_schema\"\n  }\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Authorization", "Bearer <token>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(res)
	fmt.Println(string(body))

}
```

```ruby openai_chatCompletions_example
require 'uri'
require 'net/http'

url = URI("https://api.milliseconds.ai/v1/chat/completions")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"model\": \"decision-machine-1\",\n  \"messages\": [\n    {\n      \"role\": \"user\",\n      \"content\": \"Book me a table for 4 at Nobu on Friday at 8pm\"\n    }\n  ],\n  \"response_format\": {\n    \"json_schema\": {\n      \"name\": \"booking\",\n      \"schema\": {\n        \"properties\": {\n          \"day\": {\n            \"type\": \"string\"\n          },\n          \"party_size\": {\n            \"type\": \"integer\"\n          },\n          \"restaurant\": {\n            \"type\": \"string\"\n          },\n          \"time\": {\n            \"type\": \"string\"\n          }\n        },\n        \"type\": \"object\"\n      }\n    },\n    \"type\": \"json_schema\"\n  }\n}"

response = http.request(request)
puts response.read_body
```

```java openai_chatCompletions_example
import com.mashape.unirest.http.HttpResponse;
import com.mashape.unirest.http.Unirest;

HttpResponse<String> response = Unirest.post("https://api.milliseconds.ai/v1/chat/completions")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"model\": \"decision-machine-1\",\n  \"messages\": [\n    {\n      \"role\": \"user\",\n      \"content\": \"Book me a table for 4 at Nobu on Friday at 8pm\"\n    }\n  ],\n  \"response_format\": {\n    \"json_schema\": {\n      \"name\": \"booking\",\n      \"schema\": {\n        \"properties\": {\n          \"day\": {\n            \"type\": \"string\"\n          },\n          \"party_size\": {\n            \"type\": \"integer\"\n          },\n          \"restaurant\": {\n            \"type\": \"string\"\n          },\n          \"time\": {\n            \"type\": \"string\"\n          }\n        },\n        \"type\": \"object\"\n      }\n    },\n    \"type\": \"json_schema\"\n  }\n}")
  .asString();
```

```php openai_chatCompletions_example
<?php
require_once('vendor/autoload.php');

$client = new \GuzzleHttp\Client();

$response = $client->request('POST', 'https://api.milliseconds.ai/v1/chat/completions', [
  'body' => '{
  "model": "decision-machine-1",
  "messages": [
    {
      "role": "user",
      "content": "Book me a table for 4 at Nobu on Friday at 8pm"
    }
  ],
  "response_format": {
    "json_schema": {
      "name": "booking",
      "schema": {
        "properties": {
          "day": {
            "type": "string"
          },
          "party_size": {
            "type": "integer"
          },
          "restaurant": {
            "type": "string"
          },
          "time": {
            "type": "string"
          }
        },
        "type": "object"
      }
    },
    "type": "json_schema"
  }
}',
  'headers' => [
    'Authorization' => 'Bearer <token>',
    'Content-Type' => 'application/json',
  ],
]);

echo $response->getBody();
```

```csharp openai_chatCompletions_example
using RestSharp;

var client = new RestClient("https://api.milliseconds.ai/v1/chat/completions");
var request = new RestRequest(Method.POST);
request.AddHeader("Authorization", "Bearer <token>");
request.AddHeader("Content-Type", "application/json");
request.AddParameter("application/json", "{\n  \"model\": \"decision-machine-1\",\n  \"messages\": [\n    {\n      \"role\": \"user\",\n      \"content\": \"Book me a table for 4 at Nobu on Friday at 8pm\"\n    }\n  ],\n  \"response_format\": {\n    \"json_schema\": {\n      \"name\": \"booking\",\n      \"schema\": {\n        \"properties\": {\n          \"day\": {\n            \"type\": \"string\"\n          },\n          \"party_size\": {\n            \"type\": \"integer\"\n          },\n          \"restaurant\": {\n            \"type\": \"string\"\n          },\n          \"time\": {\n            \"type\": \"string\"\n          }\n        },\n        \"type\": \"object\"\n      }\n    },\n    \"type\": \"json_schema\"\n  }\n}", ParameterType.RequestBody);
IRestResponse response = client.Execute(request);
```

```swift openai_chatCompletions_example
import Foundation

let headers = [
  "Authorization": "Bearer <token>",
  "Content-Type": "application/json"
]
let parameters = [
  "model": "decision-machine-1",
  "messages": [
    [
      "role": "user",
      "content": "Book me a table for 4 at Nobu on Friday at 8pm"
    ]
  ],
  "response_format": [
    "json_schema": [
      "name": "booking",
      "schema": [
        "properties": [
          "day": ["type": "string"],
          "party_size": ["type": "integer"],
          "restaurant": ["type": "string"],
          "time": ["type": "string"]
        ],
        "type": "object"
      ]
    ],
    "type": "json_schema"
  ]
] as [String : Any]

let postData = JSONSerialization.data(withJSONObject: parameters, options: [])

let request = NSMutableURLRequest(url: NSURL(string: "https://api.milliseconds.ai/v1/chat/completions")! as URL,
                                        cachePolicy: .useProtocolCachePolicy,
                                    timeoutInterval: 10.0)
request.httpMethod = "POST"
request.allHTTPHeaderFields = headers
request.httpBody = postData as Data

let session = URLSession.shared
let dataTask = session.dataTask(with: request as URLRequest, completionHandler: { (data, response, error) -> Void in
  if (error != nil) {
    print(error as Any)
  } else {
    let httpResponse = response as? HTTPURLResponse
    print(httpResponse)
  }
})

dataTask.resume()
```