didlite 0.2.5

Zero-dependency-bloat Python library for W3C Decentralized Identifiers (DIDs) using Ed25519 keys

didlite 🆔

⚠️ BETA STATUS - SECURITY AUDIT PENDING

This library is in active development and has not undergone an independent security audit. While we've conducted comprehensive internal security hardening with 23+ security fixes, we recommend against production use until an external audit is complete.

Use at your own risk. See SECURITY.md for vulnerability reporting.

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Verifiable Identity for Agents, IoT, and Edge Devices.

didlite is a zero-dependency-bloat Python library that generates W3C Standard Decentralized Identifiers (DIDs) using Ed25519 keys.

It allows any Python program (Drone, Sensor, AI Agent) to create a cryptographically verifiable identity and sign data without needing a central server, certificate authority, or blockchain.

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⚡ Why didlite?

Most Identity libraries (SSI) are massive. They require Rust compilers, system binaries, or heavy async runtimes.

• Zero Bloat: Pure Python wrapper around pynacl (libsodium).
• Standards Compliant: Produces valid did:key identifiers (W3C CCG).
• Web-Ready: Signs standard JSON Web Signatures (JWS).
• ARM64 Native: Runs seamlessly on Raspberry Pi, AWS Graviton, and M1/M2/M3 Macs.

The Problem it Solves

Scenario 1: AI Agents - You deploy autonomous agents that need to communicate and transact with each other.

• The Old Way: Central API keys (shared secrets = single point of failure) or OAuth servers (requires infrastructure).
• The didlite Way: Each agent generates its own identity. Messages are cryptographically signed. Trust is mathematical, not infrastructural.

Scenario 2: IoT at Scale - You have 1,000 temperature sensors deployed in the field.

• The Old Way: Hardcode a shared API key (insecure) or manage 1,000 mTLS certificates (painful).
• The didlite Way: Each sensor generates its own ID at startup. The server verifies the signature mathematically. No database required.

How It Works: Trust Architecture

sequenceDiagram
    participant Agent as AI Agent / IoT Device
    participant Verifier as Server / Gateway

    Note over Agent: Generate Identity
    Agent->>Agent: identity = AgentIdentity()
    Agent->>Agent: did = "did:key:z6Mkh..."

    Note over Agent: Sign Message
    Agent->>Agent: token = create_jws(identity, payload)

    Agent->>Verifier: Send signed token

    Note over Verifier: Verify Signature
    Verifier->>Verifier: header, payload = verify_jws(token)
    Verifier->>Verifier: Extract DID from header['kid']
    Verifier->>Verifier: Resolve DID → public key
    Verifier->>Verifier: Verify signature with public key

    alt Signature Valid
        Verifier->>Agent: ✅ Trust established
        Note over Verifier: No database lookup needed<br/>DID IS the public key
    else Signature Invalid
        Verifier->>Agent: ❌ Reject (tampering detected)
    end

Key Insight: The DID itself encodes the public key (via Multicodec + Multibase). No PKI infrastructure, no certificate authorities, no centralized identity servers.

Performance Benchmarks (v0.2.3) - 2025-12-30

Environment: Raspberry Pi 5 8GB

Operation	Avg Time	Throughput	Notes
Identity Generation	0.11ms	~9,200/sec	No overhead from v0.2.3 changes
Token Creation	0.08ms	~13,100/sec	Includes iat timestamp validation
Token Verification	0.24ms	~4,200/sec	Now returns (header, payload) tuple
DID Extraction	0.01ms	~190,000/sec	NEW - Fast header parsing without signature verification
Custom Headers	0.08ms	~13,000/sec	NEW - Zero overhead for custom typ, etc.

Key Takeaways:

• ✅ v0.2.3 header enhancements add negligible overhead (<0.01ms)
• ✅ extract_signer_did() is ~24x faster than full verification (useful for routing/logging)
• ✅ All operations remain suitable for high-throughput IoT/edge deployments
• ✅ Ed25519 + PyNaCl's libsodium wrapper delivers excellent ARM64 performance

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📦 Installation

pip install didlite

Note: didlite is currently in beta (v0.2.5). Breaking changes may occur before v1.0.0.

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🚀 Quick Start

didlite-examples - Visit the companion repository for complete example code.

Example 1: AI Agent Communication

Agent 1 (Research Agent) - Collects and signs lead data:

import didlite

# Agent generates its own identity
research_agent = didlite.AgentIdentity()
print(f"Research Agent DID: {research_agent.did}")

# Create a signed lead record
lead_data = {
    "action": "lead_discovered",
    "company": "Acme Corp",
    "industry": "manufacturing",
    "interest": "IoT sensors",
    "source": "web_research"
}

# Sign the lead data
signed_lead = didlite.create_jws(research_agent, lead_data)
# Now send signed_lead to CRM agent...

Agent 2 (CRM Agent) - Verifies and processes:

import didlite

# Receive signed lead from research agent
# signed_lead = "eyJhbGciOiJFZERTQ..."

try:
    # Verify the signature
    header, payload = didlite.verify_jws(signed_lead)

    # Extract the signer's DID
    signer_did = header['kid']

    print(f"✅ Verified lead from: {signer_did}")
    print(f"Company: {payload['company']}")
    print(f"Interest: {payload['interest']}")

    # Add to CRM database with attribution to research_agent...

except Exception as e:
    print(f"❌ Invalid signature - rejecting lead: {e}")

Example 2: IoT Sensor Data

The Sensor - Generates identity and signs telemetry:

import didlite

# In production, load seed from secure storage
sensor = didlite.AgentIdentity()

# Sign telemetry data
telemetry = {
    "temp": 24.5,
    "unit": "C",
    "timestamp": 1678900000
}

token = didlite.create_jws(sensor, telemetry)
# Send token to gateway...

The Gateway - Verifies without database lookup:

import didlite

# token = "eyJhbGciOiJFZERTQ..." # Received from sensor

try:
    header, payload = didlite.verify_jws(token)

    print(f"Valid data from: {header['kid']}")
    print(f"Temperature: {payload['temp']}°{payload['unit']}")

except Exception as e:
    print(f"SECURITY ALERT: Invalid signature! {e}")

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🛠 Advanced Usage

Persistent Identity (Using Seeds)

If a device reboots, you want it to have the same DID. Use a secure 32-byte seed (e.g., from an environment variable or HSM).

import os
from didlite import AgentIdentity

# Load secret from secure storage
seed_bytes = os.getenv("DEVICE_SECRET_KEY").encode()[:32]

agent = AgentIdentity(seed=seed_bytes)

Resolving DIDs

If you just want to check a DID string and get the raw public key bytes:

from didlite import resolve_did_to_key

did = "did:key:z6MkhaXgBZDvotDkL5257..."
verify_key = resolve_did_to_key(did)

# Now use verify_key to check raw signatures

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🤝 Getting Help

Community Support (Free)

• 📖 Documentation: Documentation and didlite-examples companion repository
• 💬 GitHub Discussions: Questions, use cases, and best practices
• 🐛 GitHub Issues: Bug reports and feature requests
• 🔐 Security: Report vulnerabilities to [e-mail]

didlite is Apache 2.0 licensed - use it however you want. All features are freely available.

Production Consulting (Optional)

Need help with production deployment, custom integration, or enterprise support?

• Forjic Technology - Founded by didlite creator Jon DePalma

  • Deep didlite expertise and production hardening
  • Contact: [e-mail]

• Other Options: Hire any qualified consultant or use our free production guides

didlite is independent and community-driven. Forjic is one option for commercial support.

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About: didlite is created and maintained by Jon DePalma. See SECURITY.md for security policy.

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🧪 Testing & Quality

Test Coverage (v0.2.5)

Coverage by Module:

Module	Coverage	Status
didlite/__init__.py	100%	✅ Complete coverage
didlite/core.py	96%	✅ All security-critical paths tested
didlite/jws.py	99%	✅ Algorithm confusion attacks prevented
didlite/keystore.py	93%	✅ All storage backends validated
Overall	95.7%	✅ Production-ready (351 statements, 336 covered)

Test Suite Breakdown:

Test Category	Tests	Description
Compliance (test_compliance.py)	18	W3C DID & RFC 7515/7519 JWT/JWS standards
Core (test_core.py)	37	Identity, DID resolution, JWK/PEM export
Fuzzing (test_fuzzing.py)	32	Malformed inputs, attack scenarios, DoS prevention
Integration (test_integration.py)	5	Cross-library compatibility (authlib)
JWS (test_jws.py)	63	Token creation/verification, headers, expiration
Keystore (test_keystore.py)	49	Storage backends, encryption, persistence
OWASP Compliance (test_owasp_compliance.py)	12	OWASP Password Storage Cheat Sheet validation
Security (test_security.py)	32	Error sanitization, input validation
Total	248	245 passed, 3 skipped

What's Tested:

• ✅ W3C DID:key compliance (RFC 8032, Multicodec 0xed01, base58btc encoding)
• ✅ JWS/JWT standards (RFC 7515, RFC 7519, EdDSA signatures)
• ✅ Attack prevention (algorithm confusion, signature tampering, token replay, missing 'kid')
• ✅ Keystore security (PBKDF2 encryption, file permissions 0o600, path traversal)
• ✅ Cross-library compatibility (authlib JWS/JWK interop)
• ✅ Edge cases (malformed tokens, corrupted data, expired tokens, future-dated tokens)

Run tests: pytest --cov=didlite --cov-report=term-missing See docs/TESTING_GUIDE.md for detailed testing documentation.

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🤝 Contributing

We keep this library "lite" on purpose. We only support did:key to ensure maximum portability for Edge AI and IoT.

📄 License

Apache 2.0 - Commercial use allowed.