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POST
/
v1
/
web
/
chat
/
completions
Chat
curl --request POST \
  --url https://api2.matterai.so/v1/web/chat/completions \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "<string>",
  "messages": [
    {
      "role": "<string>",
      "content": "<string>"
    }
  ],
  "stream": true,
  "tools": [
    {
      "type": "<string>",
      "function": {
        "name": "<string>",
        "description": "<string>",
        "parameters": {}
      }
    }
  ],
  "tool_choice": "<string>",
  "max_new_tokens": 123,
  "reasoning": {
    "effort": "<string>",
    "summary": "<string>"
  },
  "response_format": {
    "type": "<string>"
  },
  "temperature": 123,
  "top_p": 123
}
'
import requests

url = "https://api2.matterai.so/v1/web/chat/completions"

payload = {
    "model": "<string>",
    "messages": [
        {
            "role": "<string>",
            "content": "<string>"
        }
    ],
    "stream": True,
    "tools": [
        {
            "type": "<string>",
            "function": {
                "name": "<string>",
                "description": "<string>",
                "parameters": {}
            }
        }
    ],
    "tool_choice": "<string>",
    "max_new_tokens": 123,
    "reasoning": {
        "effort": "<string>",
        "summary": "<string>"
    },
    "response_format": { "type": "<string>" },
    "temperature": 123,
    "top_p": 123
}
headers = {"Content-Type": "application/json"}

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

print(response.text)
const options = {
  method: 'POST',
  headers: {'Content-Type': 'application/json'},
  body: JSON.stringify({
    model: '<string>',
    messages: [{role: '<string>', content: '<string>'}],
    stream: true,
    tools: [
      {
        type: '<string>',
        function: {name: '<string>', description: '<string>', parameters: {}}
      }
    ],
    tool_choice: '<string>',
    max_new_tokens: 123,
    reasoning: {effort: '<string>', summary: '<string>'},
    response_format: {type: '<string>'},
    temperature: 123,
    top_p: 123
  })
};

fetch('https://api2.matterai.so/v1/web/chat/completions', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));
<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://api2.matterai.so/v1/web/chat/completions",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'model' => '<string>',
    'messages' => [
        [
                'role' => '<string>',
                'content' => '<string>'
        ]
    ],
    'stream' => true,
    'tools' => [
        [
                'type' => '<string>',
                'function' => [
                                'name' => '<string>',
                                'description' => '<string>',
                                'parameters' => [
                                                                
                                ]
                ]
        ]
    ],
    'tool_choice' => '<string>',
    'max_new_tokens' => 123,
    'reasoning' => [
        'effort' => '<string>',
        'summary' => '<string>'
    ],
    'response_format' => [
        'type' => '<string>'
    ],
    'temperature' => 123,
    'top_p' => 123
  ]),
  CURLOPT_HTTPHEADER => [
    "Content-Type: application/json"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}
package main

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

func main() {

	url := "https://api2.matterai.so/v1/web/chat/completions"

	payload := strings.NewReader("{\n  \"model\": \"<string>\",\n  \"messages\": [\n    {\n      \"role\": \"<string>\",\n      \"content\": \"<string>\"\n    }\n  ],\n  \"stream\": true,\n  \"tools\": [\n    {\n      \"type\": \"<string>\",\n      \"function\": {\n        \"name\": \"<string>\",\n        \"description\": \"<string>\",\n        \"parameters\": {}\n      }\n    }\n  ],\n  \"tool_choice\": \"<string>\",\n  \"max_new_tokens\": 123,\n  \"reasoning\": {\n    \"effort\": \"<string>\",\n    \"summary\": \"<string>\"\n  },\n  \"response_format\": {\n    \"type\": \"<string>\"\n  },\n  \"temperature\": 123,\n  \"top_p\": 123\n}")

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

	req.Header.Add("Content-Type", "application/json")

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

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

	fmt.Println(string(body))

}
HttpResponse<String> response = Unirest.post("https://api2.matterai.so/v1/web/chat/completions")
  .header("Content-Type", "application/json")
  .body("{\n  \"model\": \"<string>\",\n  \"messages\": [\n    {\n      \"role\": \"<string>\",\n      \"content\": \"<string>\"\n    }\n  ],\n  \"stream\": true,\n  \"tools\": [\n    {\n      \"type\": \"<string>\",\n      \"function\": {\n        \"name\": \"<string>\",\n        \"description\": \"<string>\",\n        \"parameters\": {}\n      }\n    }\n  ],\n  \"tool_choice\": \"<string>\",\n  \"max_new_tokens\": 123,\n  \"reasoning\": {\n    \"effort\": \"<string>\",\n    \"summary\": \"<string>\"\n  },\n  \"response_format\": {\n    \"type\": \"<string>\"\n  },\n  \"temperature\": 123,\n  \"top_p\": 123\n}")
  .asString();
require 'uri'
require 'net/http'

url = URI("https://api2.matterai.so/v1/web/chat/completions")

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

request = Net::HTTP::Post.new(url)
request["Content-Type"] = 'application/json'
request.body = "{\n  \"model\": \"<string>\",\n  \"messages\": [\n    {\n      \"role\": \"<string>\",\n      \"content\": \"<string>\"\n    }\n  ],\n  \"stream\": true,\n  \"tools\": [\n    {\n      \"type\": \"<string>\",\n      \"function\": {\n        \"name\": \"<string>\",\n        \"description\": \"<string>\",\n        \"parameters\": {}\n      }\n    }\n  ],\n  \"tool_choice\": \"<string>\",\n  \"max_new_tokens\": 123,\n  \"reasoning\": {\n    \"effort\": \"<string>\",\n    \"summary\": \"<string>\"\n  },\n  \"response_format\": {\n    \"type\": \"<string>\"\n  },\n  \"temperature\": 123,\n  \"top_p\": 123\n}"

response = http.request(request)
puts response.read_body
{
  "400": {},
  "401": {},
  "429": {},
  "500": {},
  "id": "<string>",
  "object": "<string>",
  "created": 123,
  "model": "<string>",
  "choices": [
    {
      "index": 123,
      "message": {
        "role": "<string>",
        "content": "<string>"
      },
      "finish_reason": "<string>"
    }
  ],
  "usage": {
    "prompt_tokens": 123,
    "completion_tokens": 123,
    "total_tokens": 123
  }
}

​
Authentication

All API requests require authentication using a Bearer token. You can obtain your API key from the MatterAI Console. 
Authorization: Bearer MATTERAI_API_KEY
Keep your API key secure and never expose it in client-side code. Get your API key from the MatterAI console.

​
Request

​
model
string
required
The model used for the chat completion. Available models: "axon-2-5-pro", "axon-2-5-mini".
​
messages
array
required
An array of message objects that make up the conversation.
​
stream
boolean
default:"false"
Whether to stream the response as it’s generated.
​
tools
array
A list of tools the model may call. Currently, only functions are supported as a tool type.
​
tool_choice
string
default:"auto"
Controls which (if any) tool is called by the model. Options: "none" means the model will not call any tool and instead generates a message. "auto" means the model can pick between generating a message or calling one or more tools. "required" means the model must call one or more tools. Specifying a particular tool via {"type": "function", "function": {"name": "my_function"}} forces the model to call that tool.
​
max_new_tokens
integer
default:"2048"
The maximum number of tokens to generate in the completion.
​
reasoning
object
Configuration for reasoning capabilities.
​
response_format
object
The format of the response.
​
temperature
number
default:"0.1"
Controls randomness in the output. Higher values make output more random, lower values make it more focused and deterministic. Range: 0.0 to 2.0.
​
top_p
number
default:"1"
Controls diversity via nucleus sampling. Range: 0.0 to 1.0.

​
Response

​
id
string
A unique identifier for the chat completion.
​
object
string
The object type, which is always "chat.completion".
​
created
integer
The Unix timestamp (in seconds) of when the chat completion was created.
​
model
string
The model used for the chat completion. Available models: "axon-2-5-pro", "axon-2-5-mini".
​
choices
array
A list of chat completion choices.
​
usage
object
Usage statistics for the completion request.

​
Example Request

curl --location 'https://api2.matterai.so/v1/web/chat/completions' 
--header 'Content-Type: application/json' 
--header 'Authorization: Bearer MATTERAI_API_KEY' 
--data '{
    "model": "axon-2-5-pro",
    "max_new_tokens": 2048,
    "temperature": 0.1,
    "messages": [
        {
            "role": "user",
            "content": "Hi"
        }
    ],
    "stream": true,
    "stream_options": {
        "include_usage": true
    }
}'

const response = await fetch('https://api2.matterai.so/v1/web/chat/completions', {
  method: 'POST',
  headers: {
    'Content-Type': 'application/json',
    'Authorization': 'Bearer MATTERAI_API_KEY'
  },
  body: JSON.stringify({
    model: 'axon-2-5-pro',
    messages: [
      {
        role: 'user',
        content: 'Hi'
      }
    ],
    max_new_tokens: 2048,
    temperature: 0.1,
    stream: true,
    stream_options: {
      include_usage: true
    }
  })
});

const data = await response.json();
console.log(data);

import requests

url = "https://api2.matterai.so/v1/web/chat/completions"
headers = {
    "Content-Type": "application/json",
    "Authorization": "Bearer MATTERAI_API_KEY"
}

payload = {
    "model": "axon-2-5-pro",
    "messages": [
        {
            "role": "user",
            "content": "Hi"
        }
    ],
    "max_new_tokens": 2048,
    "temperature": 0.1,
    "stream": True,
    "stream_options": {
        "include_usage": True
    }
}

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

​
Example Response

{
  "id": "chatcmpl-cd3ac60c-9746-457b-b4fa-aca53a993249",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "Axon is an Agentic LLM Model for coding by MatterAI, designed as an elite software engineering assistant for architecting mission-critical systems."
      },
      "finish_reason": "stop"
    }
  ],
  "created": 1756372473,
  "model": "axon-2-5-pro",
  "object": "chat.completion",
  "usage": {
    "prompt_tokens": 47,
    "completion_tokens": 176,
    "total_tokens": 223,
    "completion_tokens_details": {
      "reasoning_tokens": 97
    },
    "prompt_tokens_details": {
      "cached_tokens": 25
    }
  }
}

​
Streaming

When stream is set to true, the API will return a stream of Server-Sent Events (SSE). Each event contains a JSON object with the partial response: 
data: {"id":"chatcmpl-abc123","object":"chat.completion.chunk","created":1677652288,"model":"axon-2-5-pro","choices":[{"index":0,"delta":{"content":"Hello"},"finish_reason":null}]}

data: {"id":"chatcmpl-abc123","object":"chat.completion.chunk","created":1677652288,"model":"axon-2-5-pro","choices":[{"index":0,"delta":{"content":"!"},"finish_reason":null}]}

data: {"id":"chatcmpl-abc123","object":"chat.completion.chunk","created":1677652288,"model":"axon-2-5-pro","choices":[{"index":0,"delta":{},"finish_reason":"stop"}]}

data: [DONE]

​
Error Responses

The API returns standard HTTP status codes to indicate success or failure:
​
400
Bad Request
Invalid request parameters or malformed JSON.
​
401
Unauthorized
Invalid or missing API key.
​
429
Rate Limited
Too many requests. Please slow down.
​
500
Internal Server Error
Server error. Please try again later.
Example error response: 
{
  "error": {
    "message": "Invalid API key provided",
    "type": "invalid_request_error",
    "code": "invalid_api_key"
  }
}