pisama-claude-code 0.4.1

Trace capture for Claude Code sessions - sync to PISAMA platform for analysis

pisama-claude-code

Lightweight trace capture for Claude Code sessions with token usage and cost tracking.

Demo

Why PISAMA?

When working with Claude Code, have you ever wondered:

• How much did that session cost? Track token usage and costs in real-time
• What tools were called? See every Bash, Read, Write, and Edit operation
• Why did it fail? Capture traces for debugging and forensics
• Can I export my sessions? JSONL export for analysis or compliance

pisama-claude-code captures everything Claude Code does, locally and privately.

┌─────────────────────┐         ┌─────────────────────┐
│   Claude Code       │         │   PISAMA Platform   │
│   + pisama-cc       │ ──────▶ │   (optional)        │
│   (capture)         │  sync   │   - detection       │
└─────────────────────┘         │   - self-healing    │
        │                       └─────────────────────┘
        │
        ▼
   ~/.claude/pisama/traces/
   (local storage)

Installation

pip install pisama-claude-code

Requirements: Python 3.10+ and Claude Code CLI

Quick Start

# 1. Install capture hooks
pisama-cc install

# 2. Use Claude Code normally - traces are captured automatically

# 3. View your session data
pisama-cc status        # Summary with token totals and cost
pisama-cc traces        # Recent tool calls
pisama-cc usage         # Detailed breakdown

Features

Token & Cost Tracking

$ pisama-cc usage --by-model --by-tool

📊 Token Usage Summary (last 100 traces)
==================================================
Input tokens:           10,234
Output tokens:          85,421
Cache read tokens:   1,234,567
Total cost:        $    52.34

📈 By Model:
--------------------------------------------------
  claude-opus-4-5-20251101            $52.34

🔧 By Tool:
--------------------------------------------------
  Bash                   45 calls  $25.12
  Read                   30 calls  $15.34
  Write                  20 calls  $8.45
  Edit                   5 calls   $3.43

Session Status

$ pisama-cc status

📊 PISAMA Status
========================================

🔧 Hook Installation:
   ✅ pisama-capture.py
   ✅ pisama-pre.sh
   ✅ pisama-post.sh
   All hooks installed

📁 Local Traces: 1,400
   Input tokens:  9,580
   Output tokens: 79,569
   Total cost:    $43.22

Export & Analysis

# Export to JSONL
pisama-cc export -o traces.jsonl

# Export compressed
pisama-cc export -o traces.jsonl.gz --compress

# Export to OpenTelemetry format
pisama-cc export --format otel -o traces-otel.json

# Filter by date range
pisama-cc traces --since 2025-01-01 --until 2025-01-04

OpenTelemetry Integration

Export traces to any OTEL-compatible backend (Jaeger, Honeycomb, Datadog, etc.):

# Install OTEL support
pip install pisama-claude-code[otel]

# Export to local Jaeger
pisama-cc export-otel -e http://localhost:4318/v1/traces

# Export to Honeycomb
pisama-cc export-otel -e https://api.honeycomb.io/v1/traces \
    -H "x-honeycomb-team=YOUR_API_KEY"

# Export to file in OTEL format
pisama-cc export --format otel -o traces.json

OTEL export uses GenAI semantic conventions for token usage, costs, and model attributes.

CLI Reference

Command	Description
pisama-cc install	Install capture hooks to ~/.claude/hooks/
pisama-cc uninstall	Remove hooks
pisama-cc status	Show status, token totals, and cost
pisama-cc traces	View recent traces (-v for verbose, -c for content)
pisama-cc usage	Token usage breakdown (--by-model, --by-tool)
pisama-cc export	Export to JSONL or OTEL (--format otel, --compress)
pisama-cc export-otel	Export to OpenTelemetry collector (-e ENDPOINT)
pisama-cc connect	Connect to PISAMA platform (optional)
pisama-cc sync	Upload traces to platform
pisama-cc analyze	Run failure detection (requires platform)
pisama-cc vault status	Show PII tokenization vault status

Model Pricing

Supported models and pricing (per 1M tokens):

Model	Input	Output	Cache Read
claude-opus-4-5	$15.00	$75.00	$1.50
claude-sonnet-4	$3.00	$15.00	$0.30
claude-3-5-sonnet	$3.00	$15.00	$0.30
claude-3-5-haiku	$0.80	$4.00	$0.08

Privacy & Security

• Local-first: All traces stored in ~/.claude/pisama/traces/
• Secrets redacted: API keys, passwords, and tokens are automatically removed
• Paths anonymized: Home directory paths replaced with ~
• Platform sync is opt-in: Nothing leaves your machine without explicit action

See SECURITY.md for our security policy.

Configuration

After installation, the hooks are automatically configured. To customize, edit ~/.claude/settings.local.json:

{
  "hooks": {
    "PreToolCall": [
      {
        "command": "~/.claude/hooks/pisama-pre.sh",
        "timeout": 2000
      }
    ],
    "PostToolCall": [
      {
        "command": "~/.claude/hooks/pisama-post.sh",
        "timeout": 2000
      }
    ]
  }
}

Platform Integration (Optional)

For advanced features like failure detection and self-healing, connect to the PISAMA platform:

pisama-cc connect        # Authenticate
pisama-cc sync           # Upload traces
pisama-cc analyze        # Run detection

Platform features:

• 28 MAST failure mode detection
• AI-powered fix suggestions
• Self-healing automation
• Visual dashboard

Part of the PISAMA Platform

pisama-claude-code is the Claude Code integration for the broader PISAMA (Platform for Intelligent Self-healing AI Multi-Agent) Testing Platform, which supports multiple agent frameworks:

Framework	Package	Status
Claude Code	pisama-claude-code	Stable
LangChain/LangGraph	mao-testing SDK	Available
CrewAI	mao-testing SDK	Available
AutoGen	mao-testing SDK	Available
n8n	mao-testing SDK	Available

For other frameworks, see the mao-testing SDK.

Contributing

We welcome contributions! See CONTRIBUTING.md for guidelines.

# Development setup
git clone https://github.com/tn-pisama/pisama-claude-code.git
cd pisama-claude-code
python -m venv .venv
source .venv/bin/activate
pip install -e ".[dev]"

# Run tests
pytest

# Run linting
ruff check src/

Changelog

See CHANGELOG.md for release history.

License

MIT License - see LICENSE for details.

Links

• Documentation
• PISAMA Platform
• Issue Tracker
• Discussions

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Made with ❤️ for the Claude Code community