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AI agent for F1 data analysis using Claude Agent SDK and FastF1

Project description

PitLane Agent

AI agent for F1 data analysis using Claude Agent SDK and FastF1.

Quick Start

# Install with pip/uv
pip install pitlane-agent

# Create a workspace
pitlane workspace create --session-id my-analysis

# Fetch session data
pitlane fetch session-info --session-id my-analysis --year 2024 --gp Monaco --session R

# Analyze lap times
pitlane analyze lap-times --session-id my-analysis --year 2024 --gp Monaco --session Q --drivers VER --drivers HAM

Features

  • F1 Data Analysis - Lap times, tyre strategy, race telemetry, and more
  • Skills-Based Architecture - Specialized skills for different analysis domains
  • Workspace Management - Isolated analysis sessions with persistent data
  • FastF1 Integration - Direct access to comprehensive F1 data
  • Chart Generation - Matplotlib-based visualizations
  • Tool Permissions - Domain-restricted web access for safe agent operation

Skills

f1-analyst

Lap time and tyre strategy analysis with visualizations.

Examples:

pitlane analyze lap-times --session-id my-session --year 2024 --gp Monaco --session Q
pitlane analyze tyre-strategy --session-id my-session --year 2024 --gp Monaco --session R

f1-drivers

Driver information queries via the Ergast API.

Examples:

pitlane fetch drivers --year 2024
pitlane fetch driver-info --driver-code VER

f1-schedule

Event calendars and session schedules.

Examples:

pitlane fetch schedule --year 2024
pitlane fetch event-info --year 2024 --round 6

Workspace Management

# Create workspace
pitlane workspace create --session-id my-analysis

# List workspaces
pitlane workspace list

# Get workspace info
pitlane workspace info --session-id my-analysis

# Clean old workspaces (older than 7 days)
pitlane workspace clean --older-than 7

# Remove specific workspace
pitlane workspace remove --session-id my-analysis

Requirements

  • Python 3.11 or higher (up to 3.13)
  • Claude API key (for AI agent functionality)

Dependencies

  • Claude Agent SDK - AI agent orchestration
  • FastF1 - F1 data access and telemetry
  • Matplotlib - Chart generation
  • Click - CLI framework
  • OpenTelemetry - Optional tracing support

Architecture

The agent uses a skills-based architecture where each skill handles a specific F1 analysis domain:

  • Skills invoke Python scripts through the agent's tool system
  • FastF1 provides data access and telemetry processing
  • Matplotlib generates visualizations
  • Tool permissions restrict web access to approved F1 data sources

License

Apache-2.0

Links

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