All notable changes to PULSE Protocol Python implementation will be documented in this file.
The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.
- Compact encoding (13× size reduction)
- CI/CD with GitHub Actions
- PyPI publication
- Framework integrations (Flask, FastAPI)
- Implementations in Rust, Go, JavaScript
- TLS Transport Layer (Security Layer 1)
TLSConfigdataclass for SSL/TLS configurationgenerate_self_signed_cert()for development certificates- Server-side SSL context with certificate/key loading
- Client-side SSL context with CA verification
- Mutual TLS (mTLS) support for agent authentication
- TLS 1.2+ minimum version enforcement
- Custom cipher suite configuration
- Vocabulary expanded to 1,000 semantic concepts
- ENT (Entities): 100 concepts
- ACT (Actions): 200 concepts
- PROP (Properties): 150 concepts
- REL (Relations): 100 concepts
- LOG (Logic): 50 concepts
- MATH (Mathematics): 100 concepts
- TIME (Temporal): 50 concepts
- SPACE (Spatial): 50 concepts
- DATA (Data Types): 100 concepts
- META (Meta): 100 concepts
- HTTP Client/Server for agent-to-agent communication
PulseServerwith handler registration and wildcard matchingPulseClientwith send, fire-and-forget, ping, and stats- JSON and binary (MessagePack) encoding over HTTP
- HMAC signing integration for defense in depth
- Health check endpoint (
/health)
- 31 TLS tests covering certificates, contexts, HTTPS communication
- New example: 08_tls_transport.py demonstrating HTTPS + HMAC signing
cryptographydependency for certificate generation
- Test suite expanded from 165+ to 256 tests
PulseServeracceptstlsparameter for HTTPSPulseClientacceptstls,verify_ssl,client_certfile,client_keyfilepulse/__init__.pyexportsTLSConfigandgenerate_self_signed_cert- Server URL property returns
https://when TLS configured
test_validate_new_act_conceptsupdated: replaced non-existentACT.LEARN.TRAINwithACT.PROCESS.BATCH
- CLI tool (pulse command) for all PULSE operations
pulse create- Create new messages with validationpulse validate- Validate message structure and semanticspulse sign- Sign messages with HMAC-SHA256pulse verify- Verify message signaturespulse encode- Encode to binary format with size comparisonpulse decode- Decode from binary with auto-format detection- Programmatic usage from Python scripts
- Automation and scripting support
- Performance benchmarks suite with statistical analysis
- Message creation benchmarks
- JSON encoding/decoding benchmarks
- Binary encoding/decoding benchmarks
- Signature signing/verification benchmarks
- Validation benchmarks
- Vocabulary operation benchmarks
- Warmup iterations for accurate results
- Statistical metrics: mean, median, min, max, stdev, ops/sec
- 25+ CLI tests covering all commands
- Command execution tests
- Roundtrip workflow tests
- Error handling tests
- Integration tests
- New example: 07_cli_usage.py
- 9 comprehensive demonstrations
- Complete workflow examples
- Real-world use cases
- Best practices and automation patterns
- Test suite expanded from 140+ to 165+ tests
- README updated with CLI documentation and examples
- Project structure includes cli.py and benchmarks.py
- Project status updated to Week 4 Complete
- Performance metrics documented and benchmarked
- CLI built with argparse for standard Python interface
- Supports JSON and binary file I/O
- Compatible with shell scripting and automation
- Environment variable support for secret keys
- Exit codes for error handling
- Pretty output with ✓/✗ indicators
- Size comparison statistics (reduction factor, savings %)
- CLI commands execute in <100ms for typical messages
- Benchmarks show consistent sub-millisecond operations
- 1000 encode/decode operations < 1 second
- Minimal overhead for automation workflows
- HMAC-SHA256 message signing for integrity verification
- Deterministic signing (same message + key = same signature)
- Constant-time signature comparison (timing attack protection)
- Tamper detection for any message modification
- ~1-2ms overhead per operation
- SecurityManager class for signing and verification
sign_message()- Sign with HMAC-SHA256verify_signature()- Verify signature with constant-time comparisoncheck_replay_protection()- Validate timestamp and noncegenerate_key()- Generate secure random keys (32 bytes)
- Replay attack protection
- Timestamp freshness validation (default 5-minute window)
- Nonce deduplication support
- Configurable max age
- 60-second clock skew tolerance
- KeyManager class for key storage
- Simple key store for development
- Generate, store, retrieve, remove keys
- Per-agent key management
- 40+ security tests covering all features
- Signing and verification roundtrips
- Tamper detection tests
- Replay attack simulations
- Key management tests
- Integration with binary encoding
- New example: 06_security_features.py
- 8 comprehensive demonstrations
- Performance benchmarks
- Best practices and production checklist
- Secure message flow examples
- Test suite expanded from 100+ to 140+ tests
- README updated with security documentation
- API Reference includes SecurityManager and KeyManager
- Project status updated to Week 3 Complete
- Canonical string creation for deterministic signing
- Uses Python's
hmacandhashlib(SHA256) secrets.token_urlsafe(32)for key generation- Signatures stored in
envelope['signature'] - No encryption (integrity only, use TLS for confidentiality)
- Constant-time comparison prevents timing attacks
- Replay protection prevents duplicate messages
- Tamper detection catches all modifications
- Defense in depth: signatures + TLS (when added) + validation
- Binary encoding/decoding using MessagePack format
- ~10× size reduction compared to JSON
- Typical message: JSON ~800 bytes → Binary ~80 bytes
- Fast serialization/deserialization
- Language-agnostic format
- Unified Encoder class supporting multiple formats
- Auto-detection of format when decoding
- Size comparison utilities
- Support for JSON and Binary formats
- PulseMessage binary methods
to_binary()- Serialize to MessagePackfrom_binary()- Deserialize from MessagePack
- CompactEncoder placeholder for future custom format
- 30+ encoder tests with roundtrip validation
- Performance benchmarks in test suite
- Two new examples
04_binary_encoding.py- Binary encoding demonstrations and benchmarks05_error_handling.py- Error handling patterns (retry, circuit breaker)
- Type preservation in binary encoding (strings, numbers, booleans, nulls, lists, dicts)
- Enhanced documentation with binary encoding examples
- Test suite expanded from 70+ to 100+ tests
- Code coverage increased to 90%+
- README updated with binary encoding documentation
- Project status updated to Week 2 Complete
- MessagePack encoding with
use_bin_type=True - Binary format detection in unified decoder
- Preserves exact message structure (envelope, type, content)
- No validation on decode for performance
- Initial project structure
- Basic documentation (README, CONTRIBUTING, LICENSE)
- Development tools configuration (black, pytest, pylint, mypy)
- Core PulseMessage class with envelope, type, and content structure
- JSON serialization and deserialization
- Vocabulary system with 120+ semantic concepts across 10 categories
- MessageValidator with three-stage validation pipeline
- Comprehensive test suite (70+ tests)
- Three working examples (Hello World, Vocabulary & Validation, Use Cases)
- Type hints throughout the codebase
- Google-style docstrings for all public APIs
- ENT (Entities): 20 concepts - Data types, agents, resources
- ACT (Actions): 34 concepts - Queries, analysis, creation, transformation
- PROP (Properties): 16 concepts - States, quality, size, priority
- REL (Relations): 5 concepts - Structural relationships
- LOG (Logic): 6 concepts - Logical operators
- MATH (Mathematics): 9 concepts - Arithmetic, aggregation
- TIME (Temporal): 6 concepts - Time relationships
- SPACE (Spatial): 6 concepts - Spatial relationships
- DATA (Data Types): 7 concepts - Data structures
- META (Meta): 11 concepts - Status, errors, control
Release Date: 2025-02-05 Status: Development - Week 4 Complete
This release adds a comprehensive command-line interface and performance benchmarks suite.
New Features:
- 🖥️ CLI tool - Full command-line interface (pulse command)
- 🖥️ 6 CLI commands - create, validate, sign, verify, encode, decode
- 📊 Performance benchmarks - Statistical analysis of all operations
- 🔧 Automation support - Shell scripting and programmatic usage
- 📝 CLI examples - 9 demonstrations with real-world use cases
CLI Commands:
pulse create- Create messages with action, target, parameterspulse validate- Validate structure, semantics, freshnesspulse sign- Sign with HMAC-SHA256 using secret keypulse verify- Verify signatures and detect tamperingpulse encode- Encode to binary with size comparisonpulse decode- Decode from binary with auto-detection
Performance:
- CLI operations: <100ms for typical messages
- Message creation: ~0.5ms average
- JSON encode/decode: ~0.3ms average
- Binary encode/decode: ~0.2ms average (faster than JSON!)
- Signing: ~1-2ms average
- Verification: ~1-2ms average
- All operations: 1000+ ops/sec throughput
What's Working:
- ✅ Core message creation and parsing
- ✅ JSON encoding/decoding (human-readable)
- ✅ Binary encoding/decoding (10× size reduction) ⚡
- ✅ HMAC-SHA256 message signing 🔒
- ✅ Replay protection (timestamp + nonce) 🔒
- ✅ Tamper detection 🔒
- ✅ CLI tool with 6 commands 🖥️
- ✅ Performance benchmarks suite 🖥️
- ✅ Semantic vocabulary (120+ concepts)
- ✅ Three-stage message validation
- ✅ Error handling patterns
- ✅ Key management (SecurityManager, KeyManager)
- ✅ 165+ unit tests with 90%+ coverage
- ✅ Type-safe with full type hints
- ✅ Comprehensive documentation
Use Cases:
- Automation: Batch message creation and validation
- Testing: Message validation pipelines
- Development: Quick prototyping and debugging
- Production: Secure message workflows with signing
- Scripting: Shell integration for DevOps
Known Limitations:
- Vocabulary contains 120 concepts (target: 1,000)
- Compact encoding not yet implemented (placeholder in place)
- TLS integration not yet implemented
- Network client/server not yet implemented
Next Steps (Future):
- TLS integration for transport security
- Network client/server implementation
- Compact encoding (13× size reduction)
- Framework integrations (Flask, FastAPI, etc.)
- Vocabulary expansion to 1,000 concepts
Release Date: 2025-02-05 Status: Development - Week 3 Complete
This release adds comprehensive security features with HMAC-SHA256 signing and replay protection.
New Features:
- 🔒 HMAC-SHA256 signing - Message integrity verification
- 🔒 Signature verification - Constant-time comparison for security
- 🔒 Replay protection - Timestamp freshness + nonce deduplication
- 🔒 Tamper detection - Any modification invalidates signature
- 🔒 Key management - SecurityManager and KeyManager classes
- 📝 Security examples - 8 demonstrations with best practices
Security Features:
- Deterministic signing (same message + key = same signature)
- Constant-time comparison prevents timing attacks
- Configurable timestamp validity window (default 5 minutes)
- 60-second clock skew tolerance
- Secure random key generation (32 bytes)
- Per-agent key storage and retrieval
Performance:
- Signing: ~1-2ms per operation
- Verification: ~1-2ms per operation
- Minimal overhead for production use
- 1000 operations < 1 second
What's Working:
- ✅ Core message creation and parsing
- ✅ JSON encoding/decoding (human-readable)
- ✅ Binary encoding/decoding (10× size reduction) ⚡
- ✅ HMAC-SHA256 message signing 🔒
- ✅ Replay protection (timestamp + nonce) 🔒
- ✅ Tamper detection 🔒
- ✅ Semantic vocabulary (120+ concepts)
- ✅ Three-stage message validation
- ✅ Error handling patterns
- ✅ Key management (SecurityManager, KeyManager)
- ✅ 140+ unit tests with 90%+ coverage
- ✅ Type-safe with full type hints
- ✅ Comprehensive documentation
Known Limitations:
- Vocabulary contains 120 concepts (target: 1,000)
- Compact encoding not yet implemented (placeholder in place)
- TLS integration not yet implemented
- Network client/server not yet implemented
- Signatures provide integrity only (not confidentiality - use TLS)
Next Steps (Week 4):
- CLI tool for message creation and validation
- Performance optimization and benchmarks
- Full API documentation
- TLS integration guide
Release Date: 2025-02-05 Status: Development - Week 2 Complete
This release adds high-performance binary encoding with MessagePack, achieving 10× size reduction compared to JSON.
New Features:
- ⚡ Binary encoding - MessagePack format with 10× size reduction
- ⚡ Unified Encoder - Single interface for JSON and Binary formats
- ⚡ Auto-format detection - Automatically detect format when decoding
- ⚡ Performance benchmarks - Comprehensive encoding/decoding tests
- 📝 Error handling examples - Retry strategies, circuit breaker patterns
- 📊 Size comparison utilities - Compare encoding efficiency
Performance:
- Typical message: JSON ~800 bytes → Binary ~80 bytes (10× smaller)
- Encoding speed: 1000 messages < 1 second
- Decoding speed: 1000 messages < 1 second
- Type preservation: All Python types preserved in binary format
What's Working:
- ✅ Core message creation and parsing
- ✅ JSON encoding/decoding (human-readable)
- ✅ Binary encoding/decoding (10× size reduction) ⚡
- ✅ Semantic vocabulary (120+ concepts)
- ✅ Three-stage message validation
- ✅ Error handling patterns
- ✅ 100+ unit tests with 90%+ coverage
- ✅ Type-safe with full type hints
- ✅ Comprehensive documentation
Known Limitations:
- Vocabulary contains 120 concepts (target: 1,000)
- Compact encoding not yet implemented (placeholder in place)
- Security features (signing, replay protection) not yet implemented
- Network client/server not yet implemented
Next Steps (Week 3):
- Security features (HMAC signing, replay protection)
- TLS support for network transmission
- Additional security tests
Release Date: 2025-02-05 Status: Development - Week 1 Foundation Complete
This is the initial alpha release of PULSE Protocol Python implementation.
Features:
- ✅ Core message creation and parsing
- ✅ JSON encoding/decoding
- ✅ Semantic vocabulary (120+ concepts)
- ✅ Message validation
- ✅ 70+ unit tests
- ✅ Type-safe with full type hints
- ✅ Comprehensive documentation
Legend:
Added- New featuresChanged- Changes in existing functionalityDeprecated- Soon-to-be removed featuresRemoved- Removed featuresFixed- Bug fixesSecurity- Security improvements