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"""
HTTP Bench Plugin for TrashClaw
Simple HTTP benchmark: send N requests to a URL and report latency percentiles
(p50, p95, p99), success rate, and throughput. Pure stdlib, no dependencies.
Plugin contract:
TOOL_DEF = dict with name, description, parameters (OpenAI function schema)
run(**kwargs) -> str (called with the parsed arguments)
"""
import time
import urllib.request
import urllib.error
import statistics
import ssl
import concurrent.futures
TOOL_DEF = {
"name": "http_bench",
"description": "Simple HTTP benchmark. Send N requests to a URL and report p50/p95/p99 latency, success rate, and throughput.",
"parameters": {
"type": "object",
"properties": {
"url": {
"type": "string",
"description": "URL to benchmark (e.g. https://example.com)"
},
"requests": {
"type": "integer",
"description": "Number of requests to send (default: 20, max: 500)"
},
"concurrency": {
"type": "integer",
"description": "Number of concurrent workers (default: 4, max: 20)"
},
"method": {
"type": "string",
"description": "HTTP method: GET or POST (default: GET)"
},
"timeout": {
"type": "number",
"description": "Request timeout in seconds (default: 10)"
},
"insecure": {
"type": "boolean",
"description": "Skip TLS certificate verification (default: false). Only for self-signed test servers."
}
},
"required": ["url"]
}
}
def _percentile(sorted_data: list, pct: float) -> float:
"""Calculate percentile from sorted data."""
if not sorted_data:
return 0.0
k = (len(sorted_data) - 1) * (pct / 100.0)
f = int(k)
c = f + 1
if c >= len(sorted_data):
return sorted_data[f]
d = k - f
return sorted_data[f] + d * (sorted_data[c] - sorted_data[f])
def _make_request(url: str, method: str, req_timeout: float, insecure: bool = False) -> dict:
"""Make a single HTTP request and return timing info.
TLS certificates are verified unless insecure is True.
"""
result = {"status": 0, "latency_ms": 0.0, "error": None, "size": 0}
try:
ctx = ssl.create_default_context()
if insecure:
ctx.check_hostname = False
ctx.verify_mode = ssl.CERT_NONE
req = urllib.request.Request(url, method=method.upper())
req.add_header("User-Agent", "TrashClaw-HTTPBench/1.0")
start = time.monotonic()
with urllib.request.urlopen(req, timeout=req_timeout, context=ctx) as resp:
body = resp.read()
elapsed = time.monotonic() - start
result["status"] = resp.status
result["latency_ms"] = elapsed * 1000
result["size"] = len(body)
except urllib.error.HTTPError as e:
elapsed = time.monotonic() - start
result["status"] = e.code
result["latency_ms"] = elapsed * 1000
result["error"] = f"HTTP {e.code}"
except urllib.error.URLError as e:
result["error"] = str(e.reason)
except Exception as e:
result["error"] = str(e)
return result
def run(url: str = "", requests: int = 20, concurrency: int = 4,
method: str = "GET", timeout: float = 10.0, insecure: bool = False,
**kwargs) -> str:
if not url:
return "Error: 'url' is required."
if not url.startswith("http://") and not url.startswith("https://"):
url = "http://" + url
requests = min(max(int(requests), 1), 500)
concurrency = min(max(int(concurrency), 1), 20)
timeout = min(max(float(timeout), 0.5), 60.0)
method = method.upper()
if method not in ("GET", "POST", "HEAD", "PUT", "DELETE", "PATCH"):
method = "GET"
if isinstance(insecure, str):
insecure = insecure.strip().lower() in ("1", "true", "yes", "on")
insecure = bool(insecure)
lines = [f"HTTP Benchmark: {method} {url}",
f"Requests: {requests} | Concurrency: {concurrency} | Timeout: {timeout}s"]
if insecure and url.startswith("https://"):
lines.append("WARNING: TLS certificate verification disabled (insecure=true)")
lines += ["-" * 50, ""]
results = []
wall_start = time.monotonic()
with concurrent.futures.ThreadPoolExecutor(max_workers=concurrency) as executor:
futures = [
executor.submit(_make_request, url, method, timeout, insecure)
for _ in range(requests)
]
for f in concurrent.futures.as_completed(futures):
results.append(f.result())
wall_elapsed = time.monotonic() - wall_start
# Analyze results
successes = [r for r in results if r["error"] is None and 200 <= r["status"] < 400]
failures = [r for r in results if r not in successes]
latencies = sorted([r["latency_ms"] for r in successes])
success_rate = len(successes) / len(results) * 100 if results else 0
if latencies:
p50 = _percentile(latencies, 50)
p95 = _percentile(latencies, 95)
p99 = _percentile(latencies, 99)
avg = statistics.mean(latencies)
min_lat = min(latencies)
max_lat = max(latencies)
lines.append("Latency (ms):")
lines.append(f" min: {min_lat:>8.1f}")
lines.append(f" avg: {avg:>8.1f}")
lines.append(f" p50: {p50:>8.1f}")
lines.append(f" p95: {p95:>8.1f}")
lines.append(f" p99: {p99:>8.1f}")
lines.append(f" max: {max_lat:>8.1f}")
else:
lines.append("No successful requests to report latency.")
lines.append("")
lines.append("Results:")
lines.append(f" Total: {len(results)}")
lines.append(f" Successful: {len(successes)}")
lines.append(f" Failed: {len(failures)}")
lines.append(f" Success %: {success_rate:.1f}%")
lines.append(f" Wall time: {wall_elapsed:.2f}s")
if wall_elapsed > 0:
rps = len(results) / wall_elapsed
lines.append(f" Throughput: {rps:.1f} req/s")
if successes:
total_bytes = sum(r["size"] for r in successes)
lines.append(f" Avg size: {total_bytes // len(successes):,} bytes")
# Show error breakdown if any failures
if failures:
lines.append("")
lines.append("Errors:")
error_counts = {}
for r in failures:
err = r["error"] or f"HTTP {r['status']}"
error_counts[err] = error_counts.get(err, 0) + 1
for err, count in sorted(error_counts.items(), key=lambda x: -x[1]):
lines.append(f" {count}x {err}")
return "\n".join(lines)
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