https://api.visent.ai/forge

# Trigger a benchmark job
POST /benchmarks

# Example request
curl -X POST \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "type": "ml-training",
    "gpu": "h100",
    "config": {
      "model": "resnet50",
      "batch_size": 32,
      "iterations": 100
    }
  }' \
  "https://api.visent.ai/forge/benchmarks"

# Example response
{
  "job_id": "bench_12345",
  "status": "queued",
  "estimated_duration": "15m",
  "created_at": "2024-01-15T10:30:00Z"
}

# Monitor benchmark progress
GET /benchmarks/{job_id}

# Example response
{
  "job_id": "bench_12345",
  "status": "running",
  "progress": 45,
  "started_at": "2024-01-15T10:31:00Z",
  "estimated_completion": "2024-01-15T10:42:00Z"
}

# Get all benchmark jobs
GET /benchmarks

# Filter by status
GET /benchmarks?status=completed&limit=10

# Get benchmark report
GET /benchmarks/{job_id}/report

# Specify format
GET /benchmarks/{job_id}/report?format=pdf

import requests
import time

# Start benchmark
response = requests.post(
    "https://api.visent.ai/forge/benchmarks",
    headers={"Authorization": "Bearer YOUR_API_KEY"},
    json={
        "type": "ml-training",
        "gpu": "h100",
        "config": {"model": "resnet50", "batch_size": 32}
    }
)
job = response.json()
job_id = job["job_id"]

# Monitor progress
while True:
    status_response = requests.get(
        f"https://api.visent.ai/forge/benchmarks/{job_id}",
        headers={"Authorization": "Bearer YOUR_API_KEY"}
    )
    status = status_response.json()
    if status["status"] == "completed":
        break
    time.sleep(30)