import os
from inceptionai import Inception

client = Inception(
    api_key=os.environ.get("INCEPTION_API_KEY"),  # defaults to this env var; can be omitted
)

chat_completion = client.chat.completions.create(
    model="mercury-2.5",
    messages=[
        {
            "role": "user",
            "content": "What is a diffusion language model?"
        }
    ],
    max_tokens=256,
    temperature=0.75,
)
print(chat_completion)

import Inception from 'inceptionai';

const client = new Inception({
  apiKey: process.env['INCEPTION_API_KEY'], // defaults to this env var; can be omitted
});

const chatCompletion = await client.chat.completions.create({
  model: 'mercury-2.5',
  messages: [
    {
      role: 'user',
      content: 'What is a diffusion language model?'
    }
  ],
  max_tokens: 256,
  temperature: 0.75
});
console.log(chatCompletion);

curl --request POST \
  --url https://api.inceptionlabs.ai/v1/chat/completions \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "mercury-2.5",
  "messages": [
    {
      "role": "user",
      "content": "What is a diffusion language model?"
    }
  ]
}
'

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    model: 'mercury-2.5',
    messages: [{role: 'user', content: 'What is a diffusion language model?'}]
  })
};

fetch('https://api.inceptionlabs.ai/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.inceptionlabs.ai/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' => 'mercury-2.5',
    'messages' => [
        [
                'role' => 'user',
                'content' => 'What is a diffusion language model?'
        ]
    ]
  ]),
  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.inceptionlabs.ai/v1/chat/completions"

	payload := strings.NewReader("{\n  \"model\": \"mercury-2.5\",\n  \"messages\": [\n    {\n      \"role\": \"user\",\n      \"content\": \"What is a diffusion language model?\"\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.inceptionlabs.ai/v1/chat/completions")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"model\": \"mercury-2.5\",\n  \"messages\": [\n    {\n      \"role\": \"user\",\n      \"content\": \"What is a diffusion language model?\"\n    }\n  ]\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.inceptionlabs.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\": \"mercury-2.5\",\n  \"messages\": [\n    {\n      \"role\": \"user\",\n      \"content\": \"What is a diffusion language model?\"\n    }\n  ]\n}"

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

{
  "id": "chatcmpl-7a2b3c4d5e",
  "object": "chat.completion",
  "created": 1745798400,
  "model": "mercury-2.5",
  "choices": [
    {
      "index": 0,
      "finish_reason": "stop",
      "message": {
        "role": "assistant",
        "content": "A diffusion language model is a type of language model that uses diffusion to generate text."
      }
    }
  ],
  "usage": {
    "prompt_tokens": 12,
    "completion_tokens": 8,
    "total_tokens": 20,
    "reasoning_tokens": 0,
    "cached_input_tokens": 0
  }
}

{
  "error": {
    "message": "You exceeded the maximum context length for this model of 128000. Please reduce the length of the messages or completion.",
    "type": "invalid_request_error",
    "param": "messages",
    "code": "context_length_exceeded"
  }
}

{
  "error": {
    "message": "Incorrect API key provided",
    "type": "authentication_error",
    "param": null,
    "code": "invalid_api_key"
  }
}

{
  "error": {
    "message": "Account is inactive",
    "type": "account_error",
    "param": null,
    "code": "account_error"
  }
}

{
  "error": {
    "message": "model `jupyter-2` not found",
    "type": "invalid_request_error",
    "param": "model",
    "code": "model_not_found"
  }
}

{
  "error": {
    "message": "Rate limit exceeded. Please try again later.",
    "type": "rate_limit_error",
    "param": null,
    "code": "rate_limit_reached"
  }
}

{
  "error": {
    "message": "The server had an error while processing your request.",
    "type": "server_error",
    "param": null,
    "code": "server_error"
  }
}