curl -X POST https://api.stpnetworks.co.za/v1/models/deploy \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "name": "my-llama-model",
    "model_id": "llama-2-7b",
    "instance_type": "gpu.large",
    "replicas": 2,
    "environment": {
      "MAX_TOKENS": "2048",
      "TEMPERATURE": "0.7"
    }
  }'

const { STPClient } = require('@stpnetworks/sdk');

const client = new STPClient({
  apiKey: process.env.STP_API_KEY,
  region: 'africa-south'
});

async function predict() {
  const response = await client.predict({
    model: 'gpt-4',
    prompt: 'Explain quantum computing in simple terms',
    max_tokens: 150,
    temperature: 0.7
  });
  
  console.log(response.choices[0].text);
}

predict();

from stpnetworks import STPClient

client = STPClient(api_key="your-api-key")

# Upload training data
training_data = client.data.upload(
    file_path="./training_data.jsonl",
    format="jsonl"
)

# Start fine-tuning
job = client.fine_tuning.create(
    model="llama-2-7b",
    training_data=training_data.id,
    hyperparameters={
        "learning_rate": 2e-5,
        "batch_size": 4,
        "epochs": 3
    }
)

# Monitor progress
print(f"Fine-tuning job started: {job.id}")
print(f"Status: {job.status}")