Braintrust Analysis

Analyze your Claude Code sessions for patterns, issues, and insights using Braintrust tracing data.

When to Use

• After completing a complex task (retrospective)
• When debugging why something failed
• Weekly review of productivity patterns
• Finding opportunities to create new skills
• Understanding token usage trends

Commands

Run from the project directory:

# Analyze last session - summary with tool/agent/skill breakdown
uv run python -m runtime.harness scripts/braintrust_analyze.py --last-session

# List recent sessions
uv run python -m runtime.harness scripts/braintrust_analyze.py --sessions 5

# Agent usage statistics (last 7 days)
uv run python -m runtime.harness scripts/braintrust_analyze.py --agent-stats

# Skill usage statistics (last 7 days)
uv run python -m runtime.harness scripts/braintrust_analyze.py --skill-stats

# Detect loops - find repeated tool patterns (>5 same tool calls)
uv run python -m runtime.harness scripts/braintrust_analyze.py --detect-loops

# Replay specific session - show full sequence of actions
uv run python -m runtime.harness scripts/braintrust_analyze.py --replay <session-id>

# Weekly summary - daily activity breakdown
uv run python -m runtime.harness scripts/braintrust_analyze.py --weekly-summary

# Token trends - usage over time
uv run python -m runtime.harness scripts/braintrust_analyze.py --token-trends

Options

• --project NAME - Braintrust project name (default: agentica)

What You'll Learn

Session Analysis

• Tool usage breakdown
• Agent spawns (plan-agent, debug-agent, etc.)
• Skill activations (/commit, /research, etc.)
• Token consumption estimates

Loop Detection

Find sessions where the same tool was called repeatedly, which may indicate:

• Stuck in a search loop
• Inefficient approach
• Opportunity for better tooling

Usage Patterns

• Which agents you use most
• Which skills get activated
• Daily/weekly activity trends

Examples