$ curl -X GET https://themain.ai/api/monitoring/metrics
{
"status": "success",
"timestamp": "2025-01-22T10:30:45Z",
"metrics": {
"cpu_usage": 23.4,
"gpu_utilization": 87.2,
"active_agents": 308,
"api_calls_per_second": 45892
}
}
5,965
Total API Endpoints Available
< 10ms
Average Response Time
99.99%
API Uptime Guarantee
from themain import AIAgent
agent = AIAgent("synthesis", model="cosmos")
agent.configure(temperature=0.7, max_tokens=2048)
result = await agent.process({
"task": "analyze_market_trends",
"data_sources": ["bloomberg", "reuters"],
"output_format": "executive_summary"
})
# Output: Comprehensive market analysis in 1.3 seconds
308
Specialized AI Agents
24/7
Autonomous Operation
∞
Scalable Agent Instances
from themain.gpu import CUDAAccelerator
accelerator = CUDAAccelerator(device="A100")
model = accelerator.load_model("cosmos-7b")
start = time.time()
results = accelerator.batch_process(documents, batch_size=1024)
elapsed = time.time() - start
print(f"Processed in {elapsed:.2f}s - 100x faster than CPU!")
# Output: Processed in 3.47s - 100x faster than CPU!
100x
Faster than CPU Processing
TensorRT
Optimized Inference
from themain.hardware import ESP32Controller
controller = ESP32Controller(port="/dev/ttyUSB0")
controller.connect()
temp = controller.i2c.read_temperature()
pressure = controller.i2c.read_pressure()
controller.can.send_command("motor_1", speed=1500)
print(f"Temp: {temp}°C, Pressure: {pressure} bar")
# Output: Temp: 23.5°C, Pressure: 1.013 bar