curl --request POST \
  --url https://api.yourapp.com/api/ai/stream-chat \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '{
    "chatId": "chat_123",
    "messages": [
      {
        "role": "user",
        "content": "Tell me about AI"
      }
    ],
    "model": "gpt-4o",
    "system": "You are a helpful AI assistant."
  }'

const response = await fetch('https://api.yourapp.com/api/ai/stream-chat', {
  method: 'POST',
  headers: {
    'Authorization': 'Bearer <token>',
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    chatId: 'chat_123',
    messages: [
      {
        role: 'user',
        content: 'Tell me about AI'
      }
    ],
    model: 'gpt-4o',
    system: 'You are a helpful AI assistant.'
  })
});

// Handle streaming response
const reader = response.body.getReader();
const decoder = new TextDecoder();

while (true) {
  const { done, value } = await reader.read();
  if (done) break;
  
  const chunk = decoder.decode(value);
  console.log(chunk);
}

import requests

url = "https://api.yourapp.com/api/ai/stream-chat"
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}
payload = {
    "chatId": "chat_123",
    "messages": [
        {
            "role": "user",
            "content": "Tell me about AI"
        }
    ],
    "model": "gpt-4o",
    "system": "You are a helpful AI assistant."
}

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

# Handle streaming response
for chunk in response.iter_content(chunk_size=None):
    if chunk:
        print(chunk.decode('utf-8'))

0:"AI"
0:" is"
0:" a"
0:" field"
0:" of"
0:" computer"
0:" science"
...

{
  "success": false,
  "message": "Unauthorized"
}