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Observability patterns for Python applications.
Passed 17 of 22 test cases with the skill, and 15 of 22 without it.
2 fixed15 passed either way5 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 2 test cases the skill fixed. Same model, same prompt, with and without the skill.
I am defining a Prometheus Counter for total HTTP requests in a Python service using prometheus_client. What exact label names should be used to track HTTP verb, path, and response status code?
| Checked | Without skill | With skill |
|---|---|---|
| Uses ["method", "endpoint", "status"] for the Counter label names list. | Missed | Passed |
The instructions your model reads when the skill loads.
Logging, metrics, and tracing for production applications.
import structlog
# Configure structlog
structlog.configure(
processors=[
structlog.contextvars.merge_contextvars,
structlog.processors.add_log_level,
structlog.processors.TimeStamper(fmt="iso"),
structlog.processors.JSONRenderer(),
],
wrapper_class=structlog.make_filtering_bound_logger(logging.INFO),
context_class=dict,
logger_factory=structlog.PrintLoggerFactory(),
)
logger = structlog.get_logger()
# Usage
logger.info("user_created", user_id=123, email="[email protected]")
# Output: {"event": "user_created", "user_id": 123, "email": "[email protected]", "level": "info", "timestamp": "2024-01-15T10:00:00Z"}
import structlog
from contextvars import ContextVar
from uuid import uuid4
request_id_var: ContextVar[str] = ContextVar("request_id", default="")
def bind_request_context(request_id: str | None = None):
"""Bind request ID to logging context."""
test cases passed, vs 15 / 22 without
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