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POST
/
chat
/
completions
Create chat completion
curl --request POST \
  --url https://api.llmrouter.app/v1/chat/completions \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "<string>",
  "messages": [
    {
      "content": "<string>",
      "name": "<string>"
    }
  ],
  "temperature": 1,
  "max_tokens": 123,
  "stream": false,
  "gateway": {
    "zdr": true,
    "order": [
      "<string>"
    ],
    "only": [
      "<string>"
    ],
    "planningTriggerScore": 0.5,
    "imageGenerationModel": "<string>",
    "tags": [
      {
        "name": "<string>",
        "description": "<string>",
        "models": [
          "<string>"
        ]
      }
    ],
    "chatHistoryCompression": {
      "enabled": false,
      "score": 0.6
    },
    "mediaOptimization": false,
    "toolOptimization": {
      "enabled": false,
      "acceptScore": 0.5,
      "alwaysInclude": [
        "<string>"
      ]
    },
    "redact": {
      "email": true,
      "phone": true,
      "ip": true,
      "uuid": true,
      "token": true,
      "credit_card": true,
      "iban": true,
      "ssn": true,
      "mac": true,
      "custom": [
        "<string>"
      ]
    }
  }
}
'
import requests

url = "https://api.llmrouter.app/v1/chat/completions"

payload = {
"model": "<string>",
"messages": [
{
"content": "<string>",
"name": "<string>"
}
],
"temperature": 1,
"max_tokens": 123,
"stream": False,
"gateway": {
"zdr": True,
"order": ["<string>"],
"only": ["<string>"],
"planningTriggerScore": 0.5,
"imageGenerationModel": "<string>",
"tags": [
{
"name": "<string>",
"description": "<string>",
"models": ["<string>"]
}
],
"chatHistoryCompression": {
"enabled": False,
"score": 0.6
},
"mediaOptimization": False,
"toolOptimization": {
"enabled": False,
"acceptScore": 0.5,
"alwaysInclude": ["<string>"]
},
"redact": {
"email": True,
"phone": True,
"ip": True,
"uuid": True,
"token": True,
"credit_card": True,
"iban": True,
"ssn": True,
"mac": True,
"custom": ["<string>"]
}
}
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}

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

print(response.text)
const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({
model: '<string>',
messages: [{content: '<string>', name: '<string>'}],
temperature: 1,
max_tokens: 123,
stream: false,
gateway: {
zdr: true,
order: ['<string>'],
only: ['<string>'],
planningTriggerScore: 0.5,
imageGenerationModel: '<string>',
tags: [{name: '<string>', description: '<string>', models: ['<string>']}],
chatHistoryCompression: {enabled: false, score: 0.6},
mediaOptimization: false,
toolOptimization: {enabled: false, acceptScore: 0.5, alwaysInclude: ['<string>']},
redact: {
email: true,
phone: true,
ip: true,
uuid: true,
token: true,
credit_card: true,
iban: true,
ssn: true,
mac: true,
custom: ['<string>']
}
}
})
};

fetch('https://api.llmrouter.app/v1/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://api.llmrouter.app/v1/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' => [
[
'content' => '<string>',
'name' => '<string>'
]
],
'temperature' => 1,
'max_tokens' => 123,
'stream' => false,
'gateway' => [
'zdr' => true,
'order' => [
'<string>'
],
'only' => [
'<string>'
],
'planningTriggerScore' => 0.5,
'imageGenerationModel' => '<string>',
'tags' => [
[
'name' => '<string>',
'description' => '<string>',
'models' => [
'<string>'
]
]
],
'chatHistoryCompression' => [
'enabled' => false,
'score' => 0.6
],
'mediaOptimization' => false,
'toolOptimization' => [
'enabled' => false,
'acceptScore' => 0.5,
'alwaysInclude' => [
'<string>'
]
],
'redact' => [
'email' => true,
'phone' => true,
'ip' => true,
'uuid' => true,
'token' => true,
'credit_card' => true,
'iban' => true,
'ssn' => true,
'mac' => true,
'custom' => [
'<string>'
]
]
]
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"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.llmrouter.app/v1/chat/completions"

payload := strings.NewReader("{\n \"model\": \"<string>\",\n \"messages\": [\n {\n \"content\": \"<string>\",\n \"name\": \"<string>\"\n }\n ],\n \"temperature\": 1,\n \"max_tokens\": 123,\n \"stream\": false,\n \"gateway\": {\n \"zdr\": true,\n \"order\": [\n \"<string>\"\n ],\n \"only\": [\n \"<string>\"\n ],\n \"planningTriggerScore\": 0.5,\n \"imageGenerationModel\": \"<string>\",\n \"tags\": [\n {\n \"name\": \"<string>\",\n \"description\": \"<string>\",\n \"models\": [\n \"<string>\"\n ]\n }\n ],\n \"chatHistoryCompression\": {\n \"enabled\": false,\n \"score\": 0.6\n },\n \"mediaOptimization\": false,\n \"toolOptimization\": {\n \"enabled\": false,\n \"acceptScore\": 0.5,\n \"alwaysInclude\": [\n \"<string>\"\n ]\n },\n \"redact\": {\n \"email\": true,\n \"phone\": true,\n \"ip\": true,\n \"uuid\": true,\n \"token\": true,\n \"credit_card\": true,\n \"iban\": true,\n \"ssn\": true,\n \"mac\": true,\n \"custom\": [\n \"<string>\"\n ]\n }\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(string(body))

}
HttpResponse<String> response = Unirest.post("https://api.llmrouter.app/v1/chat/completions")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"model\": \"<string>\",\n \"messages\": [\n {\n \"content\": \"<string>\",\n \"name\": \"<string>\"\n }\n ],\n \"temperature\": 1,\n \"max_tokens\": 123,\n \"stream\": false,\n \"gateway\": {\n \"zdr\": true,\n \"order\": [\n \"<string>\"\n ],\n \"only\": [\n \"<string>\"\n ],\n \"planningTriggerScore\": 0.5,\n \"imageGenerationModel\": \"<string>\",\n \"tags\": [\n {\n \"name\": \"<string>\",\n \"description\": \"<string>\",\n \"models\": [\n \"<string>\"\n ]\n }\n ],\n \"chatHistoryCompression\": {\n \"enabled\": false,\n \"score\": 0.6\n },\n \"mediaOptimization\": false,\n \"toolOptimization\": {\n \"enabled\": false,\n \"acceptScore\": 0.5,\n \"alwaysInclude\": [\n \"<string>\"\n ]\n },\n \"redact\": {\n \"email\": true,\n \"phone\": true,\n \"ip\": true,\n \"uuid\": true,\n \"token\": true,\n \"credit_card\": true,\n \"iban\": true,\n \"ssn\": true,\n \"mac\": true,\n \"custom\": [\n \"<string>\"\n ]\n }\n }\n}")
.asString();
require 'uri'
require 'net/http'

url = URI("https://api.llmrouter.app/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\": \"<string>\",\n \"messages\": [\n {\n \"content\": \"<string>\",\n \"name\": \"<string>\"\n }\n ],\n \"temperature\": 1,\n \"max_tokens\": 123,\n \"stream\": false,\n \"gateway\": {\n \"zdr\": true,\n \"order\": [\n \"<string>\"\n ],\n \"only\": [\n \"<string>\"\n ],\n \"planningTriggerScore\": 0.5,\n \"imageGenerationModel\": \"<string>\",\n \"tags\": [\n {\n \"name\": \"<string>\",\n \"description\": \"<string>\",\n \"models\": [\n \"<string>\"\n ]\n }\n ],\n \"chatHistoryCompression\": {\n \"enabled\": false,\n \"score\": 0.6\n },\n \"mediaOptimization\": false,\n \"toolOptimization\": {\n \"enabled\": false,\n \"acceptScore\": 0.5,\n \"alwaysInclude\": [\n \"<string>\"\n ]\n },\n \"redact\": {\n \"email\": true,\n \"phone\": true,\n \"ip\": true,\n \"uuid\": true,\n \"token\": true,\n \"credit_card\": true,\n \"iban\": true,\n \"ssn\": true,\n \"mac\": true,\n \"custom\": [\n \"<string>\"\n ]\n }\n }\n}"

response = http.request(request)
puts response.read_body
{
  "id": "<string>",
  "object": "<string>",
  "created": 123,
  "model": "<string>",
  "choices": [
    {
      "index": 123,
      "message": {
        "content": "<string>",
        "name": "<string>"
      },
      "finish_reason": "<string>"
    }
  ],
  "usage": {
    "prompt_tokens": 123,
    "completion_tokens": 123,
    "total_tokens": 123,
    "cost": 123,
    "planning_usage_details": {
      "prompt_tokens": 123,
      "completion_tokens": 123,
      "total_tokens": 123,
      "cost": 123
    }
  }
}
{
"error": {
"message": "<string>"
}
}

Authorizations

Authorization
string
header
required

LLM Router API Key (e.g., sk-llmr-...)

Body

application/json

Chat completion request parameters

Accepts any additional properties supported by the upstream model (e.g., tools, top_p, response_format).

model
string
required

ID of the model to use (e.g., anthropic/claude-3-5-sonnet)

messages
object[]
required
temperature
number
default:1
max_tokens
integer
stream
boolean
default:false
gateway
object

Custom LLM Router configurations injected into the request.

Response

Successful chat completion response

id
string
object
string
created
integer
model
string
choices
object[]
usage
object