Implements structured usage logging and audit trails for cost and session tracking
编程
quota-management
试用Tracks quotas, monitors thresholds, and degrades gracefully for rate-limited APIs
它能做什么
Tracks quotas, monitors thresholds, and degrades gracefully for rate-limited APIs
技能文档
Night Market Skill — ported from claude-night-market/leyline. For the full experience with agents, hooks, and commands, install the Claude Code plugin.
Table of Contents
- Overview
- When to Use
- Core Concepts
- Quota Thresholds
- Quota Types
- Quick Start
- Check Quota Status
- Record Usage
- Estimate Before Execution
- Integration Pattern
- Detailed Resources
- Exit Criteria
Quota Management
Overview
Patterns for tracking and enforcing resource quotas across rate-limited services. This skill provides the infrastructure that other plugins use for consistent quota handling.
When To Use
- Building integrations with rate-limited APIs
- Need to track usage across sessions
- Want graceful degradation when limits approached
- Require cost estimation before operations
When NOT To Use
- Project doesn't use the leyline infrastructure patterns
- Simple scripts without service architecture needs
Core Concepts
Quota Thresholds
Three-tier threshold system for proactive management:
| Level | Usage | Action |
|---|---|---|
| Healthy | <80% | Proceed normally |
| Warning | 80-95% | Alert, consider batching |
| Critical | >95% | Defer non-urgent, use secondary services |
Quota Types
@dataclass
class QuotaConfig:
requests_per_minute: int = 60
requests_per_day: int = 1000
tokens_per_minute: int = 100000
tokens_per_day: int = 1000000
Quick Start
Check Quota Status
from leyline.quota_tracker import QuotaTracker
tracker = QuotaTracker(service="my-service")
status, warnings = tracker.get_quota_status()
if status == "CRITICAL":
# Defer or use secondary service
pass
Record Usage
tracker.record_request(
tokens=estimated_tokens,
success=True,
duration=elapsed_seconds
)
Estimate Before Execution
can_proceed, issues = tracker.can_handle_task(estimated_tokens)
if not can_proceed:
print(f"Quota issues: {issues}")
Integration Pattern
Other plugins reference this skill:
# In your skill's frontmatter
dependencies: [leyline:quota-management]
Then use the shared patterns:
- Initialize tracker for your service
- Check quota before operations
- Record usage after operations
- Handle threshold warnings gracefully
Detailed Resources
- Threshold Strategies: See
modules/threshold-strategies.mdfor degradation patterns - Estimation Patterns: See
modules/estimation-patterns.mdfor token/cost estimation
Exit Criteria
- Quota status checked before operation
- Usage recorded after operation
- Threshold warnings handled appropriately
相关技能
Provides auth patterns for API keys, OAuth, and token management
Enforces token quota management at session start with conservation and compression checks. Use at the start of every session or before large context loads
Provides error classification, recovery, and graceful-degradation patterns
Defines testing quality metrics, coverage thresholds, and anti-patterns
Tracks per-agent token usage and flags waste in parallel dispatch