curl --request POST \
  --url https://api.concentrate.ai/v1/messages/ \
  --header 'Content-Type: application/json' \
  --data '
{
  "messages": [
    {
      "content": "<string>"
    }
  ],
  "max_tokens": 4503599627370495,
  "model": "<string>",
  "provider": "<string>",
  "cache_control": {
    "type": "ephemeral",
    "ttl": "5m"
  },
  "metadata": {
    "user_id": "<string>"
  },
  "output_config": {
    "format": {
      "type": "json_schema",
      "schema": {}
    }
  },
  "stream": true,
  "system": "<string>",
  "temperature": 0.5,
  "thinking": {
    "type": "enabled",
    "budget_tokens": 1025
  },
  "tool_choice": {
    "type": "auto",
    "disable_parallel_tool_use": true
  },
  "tools": [
    {
      "name": "<string>",
      "input_schema": {},
      "type": "custom",
      "description": "<string>",
      "strict": true,
      "cache_control": {
        "type": "ephemeral",
        "ttl": "5m"
      }
    }
  ],
  "top_p": 0.5,
  "container": "<string>",
  "inference_geo": "<string>",
  "service_tier": "<string>",
  "stop_sequences": [
    "<string>"
  ],
  "top_k": 4503599627370495,
  "routing": {
    "model": {
      "fallbacks": [
        "<string>"
      ],
      "sort": "performance"
    },
    "provider": {
      "fallbacks": [
        "<string>"
      ],
      "sort": "performance",
      "interval": "<string>"
    }
  }
}
'

import requests

url = "https://api.concentrate.ai/v1/messages/"

payload = {
    "messages": [{ "content": "<string>" }],
    "max_tokens": 4503599627370495,
    "model": "<string>",
    "provider": "<string>",
    "cache_control": {
        "type": "ephemeral",
        "ttl": "5m"
    },
    "metadata": { "user_id": "<string>" },
    "output_config": { "format": {
            "type": "json_schema",
            "schema": {}
        } },
    "stream": True,
    "system": "<string>",
    "temperature": 0.5,
    "thinking": {
        "type": "enabled",
        "budget_tokens": 1025
    },
    "tool_choice": {
        "type": "auto",
        "disable_parallel_tool_use": True
    },
    "tools": [
        {
            "name": "<string>",
            "input_schema": {},
            "type": "custom",
            "description": "<string>",
            "strict": True,
            "cache_control": {
                "type": "ephemeral",
                "ttl": "5m"
            }
        }
    ],
    "top_p": 0.5,
    "container": "<string>",
    "inference_geo": "<string>",
    "service_tier": "<string>",
    "stop_sequences": ["<string>"],
    "top_k": 4503599627370495,
    "routing": {
        "model": {
            "fallbacks": ["<string>"],
            "sort": "performance"
        },
        "provider": {
            "fallbacks": ["<string>"],
            "sort": "performance",
            "interval": "<string>"
        }
    }
}
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({
    messages: [{content: '<string>'}],
    max_tokens: 4503599627370495,
    model: '<string>',
    provider: '<string>',
    cache_control: {type: 'ephemeral', ttl: '5m'},
    metadata: {user_id: '<string>'},
    output_config: {format: {type: 'json_schema', schema: {}}},
    stream: true,
    system: '<string>',
    temperature: 0.5,
    thinking: {type: 'enabled', budget_tokens: 1025},
    tool_choice: {type: 'auto', disable_parallel_tool_use: true},
    tools: [
      {
        name: '<string>',
        input_schema: {},
        type: 'custom',
        description: '<string>',
        strict: true,
        cache_control: {type: 'ephemeral', ttl: '5m'}
      }
    ],
    top_p: 0.5,
    container: '<string>',
    inference_geo: '<string>',
    service_tier: '<string>',
    stop_sequences: ['<string>'],
    top_k: 4503599627370495,
    routing: {
      model: {fallbacks: ['<string>'], sort: 'performance'},
      provider: {fallbacks: ['<string>'], sort: 'performance', interval: '<string>'}
    }
  })
};

fetch('https://api.concentrate.ai/v1/messages/', 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://api.concentrate.ai/v1/messages/",
  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([
    'messages' => [
        [
                'content' => '<string>'
        ]
    ],
    'max_tokens' => 4503599627370495,
    'model' => '<string>',
    'provider' => '<string>',
    'cache_control' => [
        'type' => 'ephemeral',
        'ttl' => '5m'
    ],
    'metadata' => [
        'user_id' => '<string>'
    ],
    'output_config' => [
        'format' => [
                'type' => 'json_schema',
                'schema' => [
                                
                ]
        ]
    ],
    'stream' => true,
    'system' => '<string>',
    'temperature' => 0.5,
    'thinking' => [
        'type' => 'enabled',
        'budget_tokens' => 1025
    ],
    'tool_choice' => [
        'type' => 'auto',
        'disable_parallel_tool_use' => true
    ],
    'tools' => [
        [
                'name' => '<string>',
                'input_schema' => [
                                
                ],
                'type' => 'custom',
                'description' => '<string>',
                'strict' => true,
                'cache_control' => [
                                'type' => 'ephemeral',
                                'ttl' => '5m'
                ]
        ]
    ],
    'top_p' => 0.5,
    'container' => '<string>',
    'inference_geo' => '<string>',
    'service_tier' => '<string>',
    'stop_sequences' => [
        '<string>'
    ],
    'top_k' => 4503599627370495,
    'routing' => [
        'model' => [
                'fallbacks' => [
                                '<string>'
                ],
                'sort' => 'performance'
        ],
        'provider' => [
                'fallbacks' => [
                                '<string>'
                ],
                'sort' => 'performance',
                'interval' => '<string>'
        ]
    ]
  ]),
  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://api.concentrate.ai/v1/messages/"

	payload := strings.NewReader("{\n  \"messages\": [\n    {\n      \"content\": \"<string>\"\n    }\n  ],\n  \"max_tokens\": 4503599627370495,\n  \"model\": \"<string>\",\n  \"provider\": \"<string>\",\n  \"cache_control\": {\n    \"type\": \"ephemeral\",\n    \"ttl\": \"5m\"\n  },\n  \"metadata\": {\n    \"user_id\": \"<string>\"\n  },\n  \"output_config\": {\n    \"format\": {\n      \"type\": \"json_schema\",\n      \"schema\": {}\n    }\n  },\n  \"stream\": true,\n  \"system\": \"<string>\",\n  \"temperature\": 0.5,\n  \"thinking\": {\n    \"type\": \"enabled\",\n    \"budget_tokens\": 1025\n  },\n  \"tool_choice\": {\n    \"type\": \"auto\",\n    \"disable_parallel_tool_use\": true\n  },\n  \"tools\": [\n    {\n      \"name\": \"<string>\",\n      \"input_schema\": {},\n      \"type\": \"custom\",\n      \"description\": \"<string>\",\n      \"strict\": true,\n      \"cache_control\": {\n        \"type\": \"ephemeral\",\n        \"ttl\": \"5m\"\n      }\n    }\n  ],\n  \"top_p\": 0.5,\n  \"container\": \"<string>\",\n  \"inference_geo\": \"<string>\",\n  \"service_tier\": \"<string>\",\n  \"stop_sequences\": [\n    \"<string>\"\n  ],\n  \"top_k\": 4503599627370495,\n  \"routing\": {\n    \"model\": {\n      \"fallbacks\": [\n        \"<string>\"\n      ],\n      \"sort\": \"performance\"\n    },\n    \"provider\": {\n      \"fallbacks\": [\n        \"<string>\"\n      ],\n      \"sort\": \"performance\",\n      \"interval\": \"<string>\"\n    }\n  }\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://api.concentrate.ai/v1/messages/")
  .header("Content-Type", "application/json")
  .body("{\n  \"messages\": [\n    {\n      \"content\": \"<string>\"\n    }\n  ],\n  \"max_tokens\": 4503599627370495,\n  \"model\": \"<string>\",\n  \"provider\": \"<string>\",\n  \"cache_control\": {\n    \"type\": \"ephemeral\",\n    \"ttl\": \"5m\"\n  },\n  \"metadata\": {\n    \"user_id\": \"<string>\"\n  },\n  \"output_config\": {\n    \"format\": {\n      \"type\": \"json_schema\",\n      \"schema\": {}\n    }\n  },\n  \"stream\": true,\n  \"system\": \"<string>\",\n  \"temperature\": 0.5,\n  \"thinking\": {\n    \"type\": \"enabled\",\n    \"budget_tokens\": 1025\n  },\n  \"tool_choice\": {\n    \"type\": \"auto\",\n    \"disable_parallel_tool_use\": true\n  },\n  \"tools\": [\n    {\n      \"name\": \"<string>\",\n      \"input_schema\": {},\n      \"type\": \"custom\",\n      \"description\": \"<string>\",\n      \"strict\": true,\n      \"cache_control\": {\n        \"type\": \"ephemeral\",\n        \"ttl\": \"5m\"\n      }\n    }\n  ],\n  \"top_p\": 0.5,\n  \"container\": \"<string>\",\n  \"inference_geo\": \"<string>\",\n  \"service_tier\": \"<string>\",\n  \"stop_sequences\": [\n    \"<string>\"\n  ],\n  \"top_k\": 4503599627370495,\n  \"routing\": {\n    \"model\": {\n      \"fallbacks\": [\n        \"<string>\"\n      ],\n      \"sort\": \"performance\"\n    },\n    \"provider\": {\n      \"fallbacks\": [\n        \"<string>\"\n      ],\n      \"sort\": \"performance\",\n      \"interval\": \"<string>\"\n    }\n  }\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.concentrate.ai/v1/messages/")

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  \"messages\": [\n    {\n      \"content\": \"<string>\"\n    }\n  ],\n  \"max_tokens\": 4503599627370495,\n  \"model\": \"<string>\",\n  \"provider\": \"<string>\",\n  \"cache_control\": {\n    \"type\": \"ephemeral\",\n    \"ttl\": \"5m\"\n  },\n  \"metadata\": {\n    \"user_id\": \"<string>\"\n  },\n  \"output_config\": {\n    \"format\": {\n      \"type\": \"json_schema\",\n      \"schema\": {}\n    }\n  },\n  \"stream\": true,\n  \"system\": \"<string>\",\n  \"temperature\": 0.5,\n  \"thinking\": {\n    \"type\": \"enabled\",\n    \"budget_tokens\": 1025\n  },\n  \"tool_choice\": {\n    \"type\": \"auto\",\n    \"disable_parallel_tool_use\": true\n  },\n  \"tools\": [\n    {\n      \"name\": \"<string>\",\n      \"input_schema\": {},\n      \"type\": \"custom\",\n      \"description\": \"<string>\",\n      \"strict\": true,\n      \"cache_control\": {\n        \"type\": \"ephemeral\",\n        \"ttl\": \"5m\"\n      }\n    }\n  ],\n  \"top_p\": 0.5,\n  \"container\": \"<string>\",\n  \"inference_geo\": \"<string>\",\n  \"service_tier\": \"<string>\",\n  \"stop_sequences\": [\n    \"<string>\"\n  ],\n  \"top_k\": 4503599627370495,\n  \"routing\": {\n    \"model\": {\n      \"fallbacks\": [\n        \"<string>\"\n      ],\n      \"sort\": \"performance\"\n    },\n    \"provider\": {\n      \"fallbacks\": [\n        \"<string>\"\n      ],\n      \"sort\": \"performance\",\n      \"interval\": \"<string>\"\n    }\n  }\n}"

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

{
  "id": "<string>",
  "type": "message",
  "role": "assistant",
  "model": "<string>",
  "content": [
    {
      "type": "text",
      "text": "<string>",
      "cache_control": {
        "type": "ephemeral",
        "ttl": "5m"
      },
      "citations": [
        {
          "type": "web_search_result_location",
          "title": "<string>",
          "url": "<string>",
          "cited_text": "<string>",
          "encrypted_index": "<string>"
        }
      ]
    }
  ],
  "usage": {
    "cache_creation_input_tokens": 0,
    "cache_read_input_tokens": 0,
    "inference_geo": "<string>",
    "input_tokens": 0,
    "output_tokens": 0,
    "server_tool_use": {
      "web_fetch_requests": 0,
      "web_search_requests": 0
    },
    "cache_creation": {
      "ephemeral_5m_input_tokens": 1,
      "ephemeral_1h_input_tokens": 1
    }
  },
  "cost": {
    "total": 123,
    "byok": true,
    "breakdown": {}
  },
  "stop_sequence": "<string>",
  "redact": {
    "entities_found": 123,
    "entity_types": [
      "<string>"
    ],
    "models_used": [
      "<string>"
    ],
    "execution_time_ms": 123,
    "redaction_coverage": 123,
    "redacted_input": [
      {
        "content": "<string>",
        "type": "message"
      }
    ],
    "redacted_tools": [
      {
        "type": "function",
        "name": "<unknown>",
        "parameters": {},
        "description": "<string>",
        "strict": true,
        "cache_control": {
          "type": "ephemeral",
          "ttl": "5m"
        }
      }
    ]
  }
}

{
  "error": {
    "code": "<string>",
    "message": "<string>",
    "upstream_error": "<string>"
  }
}