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feat(p2p): wire P2P distribution into model-agent main #481
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Add BitTorrent library dependency (anacrolix/torrent) and define constants for P2P model distribution: - Lease coordination constants (prefix, labels, durations) - Default configuration values (ports, rates, timeouts) - Environment variable keys for P2P configuration
Introduce the P2P distributor package with: - Config struct with validation and defaults - ConfigFromEnv for environment-based configuration - Comprehensive Prometheus metrics for P2P operations - Download metrics (total, duration, failures) - Peer discovery and connection metrics - Lease and seeding metrics - Metainfo server metrics
Implement ModelDistributor for P2P model distribution: - BitTorrent client management with rate limiting - Peer discovery via Kubernetes headless service DNS - Metainfo fetching from peers for torrent coordination - Model seeding and download operations - Active torrent tracking with proper cleanup Fix API compatibility with anacrolix/torrent v1.57.1: - Use bencode.Marshal instead of info.MarshalBencode - Use t.Complete().Bool() instead of t.Complete.Bool - Handle PeerRemoteAddr type assertion for peer addresses
Implement MetainfoServer to enable peers to discover available models:
- GET /metainfo/{modelHash} - serve torrent metainfo
- GET /health - health check endpoint
- GET /stats - P2P distribution statistics
- GET /models - list available models with seeding status
- Graceful shutdown support
Fix API compatibility with anacrolix/torrent v1.57.1:
- Add exists() helper function
- Use bencode.Marshal instead of info.MarshalBencode
Add comprehensive tests for the distributor package: - Config validation tests (valid, missing fields, invalid ports) - ConfigWithDefaults tests - Metrics recording tests - Stats struct tests - Test helper functions for integration tests Fix test config to include required LeaseDurationSeconds field.
Implement P2PLeaseManager for coordinating model downloads: - Lease acquisition with expired lease takeover - Lease renewal for long-running downloads - Complete/release lifecycle management - Ensures only one node downloads from HuggingFace Tests cover: - Lease acquisition (new, existing, expired) - Lease expiration detection - Lease name generation with hash truncation - Renewal and holder verification
Integrate P2P model distribution into the Gopher download workflow: - Add P2P fields to Gopher struct (distributor, lease manager, timeout) - EnableP2P() and SetP2PTimeout() configuration methods - computeModelHash() for consistent model identification - downloadWithP2P() orchestrates P2P-first download strategy - downloadWithLeaseHeld() handles HF download with lease coordination - waitForP2PAvailability() with exponential backoff for waiting nodes - startSeeding() begins seeding after successful download Flow: Check P2P peers → Try P2P download → Acquire lease → HF download → Seed
Add deployment configuration for P2P model distribution: - Headless Service for peer discovery via DNS - DaemonSet with P2P-enabled model-agent - Documentation with architecture overview and usage instructions
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Integrate P2P model distribution into the model-agent entry point: - Add P2P configuration fields (ports, rates, encryption, timeout) - Read P2P settings from environment variables - Create ModelDistributor when P2P_ENABLED=true - Create P2PLeaseManager for download coordination - Call gopher.EnableP2P() to activate P2P download flow - Start MetainfoServer for peer discovery - Add graceful shutdown for P2P resources Environment variables: - P2P_ENABLED: Enable/disable P2P (default: false) - PEERS_SERVICE: Headless service DNS for peer discovery - P2P_TORRENT_PORT: BitTorrent port (default: 6881) - P2P_METAINFO_PORT: Metainfo HTTP port (default: 8081) - P2P_MAX_DOWNLOAD_RATE: Max download rate in bytes/s - P2P_MAX_UPLOAD_RATE: Max upload rate in bytes/s - P2P_ENCRYPTION_ENABLED: Enable BitTorrent encryption - P2P_DOWNLOAD_TIMEOUT: P2P download timeout in seconds
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Labels
config
Configuration changes
dependencies
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documentation
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model-agent
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tests
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Integrate P2P model distribution into the model-agent entry point:
Environment variables: