chatapi.ai-now.space API Documentation
This API provides access to a variety of large language models (LLMs) for chat completions, token counting, and moderation.
Table of Contents
Authentication
You need an API key to use this API. To obtain an API key, please contact [email protected].
Once you have an API key, include it in the Authorization header of your requests as a Bearer token:
Authorization: Bearer YOUR_API_KEY
Endpoints
/models
Method: GET
Description: Returns a list of available models with their associated input and output costs.
Response:
{
"data": [
{
"id": "Claude 3.5 Sonnet",
"inputCost": 0.002,
"outputCost": 0.003
},
{
"id": "GPT-4 Turbo",
"inputCost": 0.03,
"outputCost": 0.06
},
// ... other models
]
}
/chat/completions
Method: POST
Description: Generates chat completions using the specified model.
Request Body
{
"model": "MODEL_NAME", // See the list of supported models below
"messages": [
{
"role": "system",
"content": "You are a helpful assistant."
},
{
"role": "user",
"content": "What is the capital of France?"
}
],
"stream": true/false, // Optional, defaults to false
// ... other parameters (see model-specific documentation)
}
Non-Streaming Response
{
"id": "chatcmpl-...",
"object": "chat.completion",
"created": 1677652288,
"model": "MODEL_NAME",
"choices": [
{
"index": 0,
"message": {
"role": "assistant",
"content": "The capital of France is Paris."
},
"finish_reason": "stop"
}
],
"input_tokens": ...,
"output_tokens": ...,
"input_tokens_cost": ...,
"output_tokens_cost": ...,
"total_tokens_cost": ...,
"total_time_taken": ...,
"tokens_per_second": ...
}
Streaming Response
data: {"id": "chatcmpl-...", "object": "chat.completion.chunk", "created": 1677652288, "model": "MODEL_NAME", "choices": [{"index": 0, "delta": {"content": "The"}, "finish_reason": null}]}
data: {"id": "chatcmpl-...", "object": "chat.completion.chunk", "created": 1677652288, "model": "MODEL_NAME", "choices": [{"index": 0, "delta": {"content": " capital"}, "finish_reason": null}]}
data: {"id": "chatcmpl-...", "object": "chat.completion.chunk", "created": 1677652288, "model": "MODEL_NAME", "choices": [{"index": 0, "delta": {"content": " of"}, "finish_reason": null}]}
// ... more chunks
data: {"id": "chatcmpl-...", "object": "chat.completion.chunk", "created": 1677652288, "model": "MODEL_NAME", "choices": [{"index": 0, "delta": {"content": " is Paris."}, "finish_reason": "stop"}]}
data: {"input_tokens": ..., "output_tokens": ..., "input_tokens_cost": ..., "output_tokens_cost": ..., "total_tokens_cost": ..., "total_time_taken": ..., "tokens_per_second": ..., "time_to_first_data": ...}
/tokens
Method: POST
Description: Counts the number of tokens in a given text.
Request Body:
{
"text": "Your text here"
}
Response:
{
"tokens": 123
}
/credits
Method: GET
Description: Returns the remaining credits for your API key.
Response:
{
"credits": 1000
}
/moderate
Method: POST
Description: Moderates the given input text using OpenAI's moderation API.
Request Body:
{
"input": "Your text here"
}
Response:
{
"results": [
{
"categories": {
"hate": false,
"hate/threatening": false,
// ... other categories
},
"category_scores": {
"hate": 0.0000000000000000,
"hate/threatening": 0.0000000000000000,
// ... other category scores
},
"flagged": false
}
]
}
Supported Models
You can easily copy the model names below and use them in your requests.
Claude 3.5 Sonnet GPT-4 Turbo Gemini 1.5 Pro Exp Deepseek Chat Llama 3.1 405b Mixtral 8x7b GPT-4o Command-R Plus Mixtral-8x22B-Instruct-v0.1 GLM-4 Llama-3-70b-chat-hf WizardLM-13B-V1.2 Command-R Plus Online Meta-Llama-3.1-405B-Instruct-Turbo
Usage Examples
Python
Non-Streaming Example
import requests
headers = {
'Authorization': 'Bearer YOUR_API_KEY',
'Content-Type': 'application/json'
}
data = {
'model': 'GPT-4 Turbo',
'messages': [
{'role': 'system', 'content': 'You are a helpful assistant.'},
{'role': 'user', 'content': 'What is the capital of France?'}
]
}
response = requests.post('https://chatapi.ai-now.space/chat/completions', headers=headers, json=data)
print(response.json())
Streaming Example
import requests
headers = {
'Authorization': 'Bearer YOUR_API_KEY',
'Content-Type': 'application/json'
}
data = {
'model': 'Claude 3.5 Sonnet',
'messages': [
{'role': 'system', 'content': 'You are a helpful assistant.'},
{'role': 'user', 'content': 'Write a short poem about the sea.'}
],
'stream': True
}
response = requests.post('https://chatapi.ai-now.space/chat/completions', headers=headers, json=data, stream=True)
for line in response.iter_lines():
if line:
decoded_line = line.decode('utf-8')
if decoded_line.startswith('data: '):
print(decoded_line[6:])
C#
Non-Streaming Example
using System;
using System.Net.Http;
using System.Net.Http.Headers;
using System.Text;
using System.Threading.Tasks;
using Newtonsoft.Json;
public class ChatCompletionExample
{
public static async Task Main(string[] args)
{
using (var client = new HttpClient())
{
client.DefaultRequestHeaders.Authorization = new AuthenticationHeaderValue("Bearer", "YOUR_API_KEY");
client.DefaultRequestHeaders.Accept.Add(new MediaTypeWithQualityHeaderValue("application/json"));
var requestBody = new
{
model = "GPT-4 Turbo",
messages = new[]
{
new { role = "system", content = "You are a helpful assistant." },
new { role = "user", content = "What is the capital of France?" }
}
};
var json = JsonConvert.SerializeObject(requestBody);
var content = new StringContent(json, Encoding.UTF8, "application/json");
var response = await client.PostAsync("https://chatapi.ai-now.space/chat/completions", content);
var responseString = await response.Content.ReadAsStringAsync();
Console.WriteLine(responseString);
}
}
}
Streaming Example
using System;
using System.Net.Http;
using System.Net.Http.Headers;
using System.Text;
using System.Threading.Tasks;
using Newtonsoft.Json;
public class ChatCompletionStreamingExample
{
public static async Task Main(string[] args)
{
using (var client = new HttpClient())
{
client.DefaultRequestHeaders.Authorization = new AuthenticationHeaderValue("Bearer", "YOUR_API_KEY");
client.DefaultRequestHeaders.Accept.Add(new MediaTypeWithQualityHeaderValue("application/json"));
var requestBody = new
{
model = "Claude 3.5 Sonnet",
messages = new[]
{
new { role = "system", content = "You are a helpful assistant." },
new { role = "user", content = "Write a short poem about the sea." }
},
stream = true
};
var json = JsonConvert.SerializeObject(requestBody);
var content = new StringContent(json, Encoding.UTF8, "application/json");
var response = await client.PostAsync("https://chatapi.ai-now.space/chat/completions", content);
using (var stream = await response.Content.ReadAsStreamAsync())
using (var reader = new System.IO.StreamReader(stream))
{
string line;
while ((line = await reader.ReadLineAsync()) != null)
{
if (line.StartsWith("data: "))
{
Console.WriteLine(line.Substring(6));
}
}
}
}
}
}
Node.js
Non-Streaming Example
const axios = require('axios');
const headers = {
'Authorization': 'Bearer YOUR_API_KEY',
'Content-Type': 'application/json'
};
const data = {
model: 'GPT-4 Turbo',
messages: [
{ role: 'system', content: 'You are a helpful assistant.' },
{ role: 'user', content: 'What is the capital of France?' }
]
};
axios.post('https://chatapi.ai-now.space/chat/completions', data, { headers })
.then(response => {
console.log(response.data);
})
.catch(error => {
console.error(error);
});
Streaming Example
const axios = require('axios');
const headers = {
'Authorization': 'Bearer YOUR_API_KEY',
'Content-Type': 'application/json'
};
const data = {
model: 'Claude 3.5 Sonnet',
messages: [
{ role: 'system', content: 'You are a helpful assistant.' },
{ role: 'user', content: 'Write a short poem about the sea.' }
],
stream: true
};
axios.post('https://chatapi.ai-now.space/chat/completions', data, { headers, responseType: 'stream' })
.then(response => {
response.data.on('data', (chunk) => {
const lines = chunk.toString().split('\n');
lines.forEach(line => {
if (line.startsWith('data: ')) {
console.log(line.substring(6));
}
});
});
})
.catch(error => {
console.error(error);
});
Remember to replace YOUR_API_KEY with your actual API key.