Quota Management

name: quota-management description: |

Triggers: quota, management, rate-limiting, thresholds, cost-tracking Quota tracking, threshold monitoring, and graceful degradation for rate-limited API services.

Triggers: quota, rate limiting, usage limits, thresholds Use when: integrating rate-limited services or tracking API usage category: infrastructure tags: [quota, rate-limiting, resource-management, cost-tracking, thresholds] dependencies: [] tools: [quota-tracker] provides: infrastructure: [quota-tracking, threshold-monitoring, usage-estimation] patterns: [graceful-degradation, quota-enforcement, cost-optimization] usage_patterns: - service-integration - rate-limit-management - cost-tracking - resource-monitoring complexity: intermediate estimated_tokens: 500 progressive_loading: true modules: - modules/threshold-strategies.md - modules/estimation-patterns.md

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

Core Concepts

Quota Thresholds

Three-tier threshold system for proactive management:

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:

1. Initialize tracker for your service
2. Check quota before operations
3. Record usage after operations
4. Handle threshold warnings gracefully

Detailed Resources

• Threshold Strategies: See modules/threshold-strategies.md for degradation patterns
• Estimation Patterns: See modules/estimation-patterns.md for token/cost estimation

Exit Criteria

• Quota status checked before operation
• Usage recorded after operation
• Threshold warnings handled appropriately

Troubleshooting

Common Issues

Command not found Ensure all dependencies are installed and in PATH

Permission errors Check file permissions and run with appropriate privileges

Unexpected behavior Enable verbose logging with --verbose flag