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usage-logging

Implements structured usage logging and audit trails for cost and session tracking. Use when adding audit trails, usage analytics, or cost tracking to a skill.

The English summary is being prepared. Showing the original description.

See how to install

Files included (3)

  • SKILL.md3.5 KB
  • modules/log-formats.md1.5 KB
  • modules/session-patterns.md2.6 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

Usage Logging

Overview

Records individual call costs and usage events. For aggregate budget enforcement, use quota-management.

Session-aware logging infrastructure for tracking operations across plugins. Provides structured JSONL logging with automatic session management for audit trails and analytics.

When To Use

  • Need audit trails for operations
  • Tracking costs across sessions
  • Building usage analytics
  • Debugging with operation history

When NOT To Use

  • Simple operations without logging needs

Core Concepts

Session Management

Sessions group related operations:

  • Auto-created on first operation
  • Timeout after 1 hour of inactivity
  • Unique session IDs for tracking

Log Entry Structure

{
  "timestamp": "2025-12-05T10:30:00Z",
  "session_id": "session_1733394600",
  "service": "my-service",
  "operation": "analyze_files",
  "tokens": 5000,
  "success": true,
  "duration_seconds": 2.5,
  "metadata": {}
}

Verification: Run the command with --help flag to verify availability.

Quick Start

Initialize Logger

from leyline.usage_logger import UsageLogger

logger = UsageLogger(service="my-service")

Verification: Run the command with --help flag to verify availability.

Log Operations

logger.log_usage(
    operation="analyze_files",
    tokens=5000,
    success=True,
    duration=2.5,
    metadata={"files": 10},
)

Verification: Run the command with --help flag to verify availability.

Query Usage

# Recent operations
recent = logger.get_recent_operations(hours=24)

# Usage summary
summary = logger.get_usage_summary(days=7)
print(f"Total tokens: {summary['total_tokens']}")
print(f"Total cost: ${summary['estimated_cost']:.2f}")

# Recent errors
errors = logger.get_recent_errors(count=10)

Verification: Run the command with --help flag to verify availability.

Integration Pattern

# In your skill's frontmatter
dependencies: [leyline:usage-logging]

Verification: Run the command with --help flag to verify availability.

Standard integration flow:

  1. Initialize logger for your service
  2. Log operations after completion
  3. Query for analytics and debugging

Log Storage

Default location: ~/.claude/leyline/usage/{service}.jsonl

# View recent logs
tail -20 ~/.claude/leyline/usage/my-service.jsonl | jq .

# Query by date
grep "2025-12-05" ~/.claude/leyline/usage/my-service.jsonl

Verification: Run the command with --help flag to verify availability.

Detailed Resources

  • Session Patterns: See modules/session-patterns.md for session management
  • Log Formats: See modules/log-formats.md for structured formats

Exit Criteria

  • Operation logged with all required fields
  • Session tracked for grouping
  • Logs queryable for analytics

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