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flakestorm/docs/IMPLEMENTATION_CHECKLIST.md

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flakestorm Implementation Checklist

This document tracks the implementation progress of flakestorm - The Agent Reliability Engine.

CLI Version (Open Source - Apache 2.0)

Phase 1: Foundation (Week 1-2)

Project Scaffolding

  • Initialize Python project with pyproject.toml
  • Set up Rust workspace with Cargo.toml
  • Create Apache 2.0 LICENSE file
  • Write comprehensive README.md
  • Create flakestorm.yaml.example template
  • Set up project structure (src/flakestorm/*)
  • Configure pre-commit hooks (black, ruff, mypy)

Configuration System

  • Define Pydantic models for configuration
  • Implement YAML loading/validation
  • Support environment variable expansion
  • Create configuration factory functions
  • Add configuration validation tests

Agent Protocol/Adapter

  • Define AgentProtocol interface
  • Implement HTTPAgentAdapter
  • Implement PythonAgentAdapter
  • Implement LangChainAgentAdapter
  • Create adapter factory function
  • Add retry logic for HTTP adapter

Phase 2: Mutation Engine (Week 2-3)

Ollama Integration

  • Create MutationEngine class
  • Implement Ollama client wrapper
  • Add connection verification
  • Support async mutation generation
  • Implement batch generation

Mutation Types & Templates

  • Define MutationType enum
  • Create Mutation dataclass
  • Write templates for PARAPHRASE
  • Write templates for NOISE
  • Write templates for TONE_SHIFT
  • Write templates for PROMPT_INJECTION
  • Add mutation validation logic
  • Support custom templates

Rust Performance Bindings

  • Set up PyO3 bindings
  • Implement robustness score calculation
  • Implement weighted score calculation
  • Implement Levenshtein distance
  • Implement parallel processing utilities
  • Build and test Rust module
  • Integrate with Python package

Phase 3: Runner & Assertions (Week 3-4)

Async Runner

  • Create FlakeStormRunner class
  • Implement orchestrator logic
  • Add concurrency control with semaphores
  • Implement progress tracking
  • Add setup verification

Invariant System

  • Create InvariantVerifier class
  • Implement ContainsChecker
  • Implement LatencyChecker
  • Implement ValidJsonChecker
  • Implement RegexChecker
  • Implement SimilarityChecker
  • Implement ExcludesPIIChecker
  • Implement RefusalChecker
  • Add checker registry

Phase 4: CLI & Reporting (Week 4-5)

CLI Commands

  • Set up Typer application
  • Implement flakestorm init command
  • Implement flakestorm run command
  • Implement flakestorm verify command
  • Implement flakestorm report command
  • Implement flakestorm score command
  • Add CI mode (--ci --min-score)
  • Add rich progress bars

Report Generation

  • Create report data models
  • Implement HTMLReportGenerator
  • Create interactive HTML template
  • Implement JSONReportGenerator
  • Implement TerminalReporter
  • Add score visualization
  • Add mutation matrix view

Phase 5: V2 Features (Week 5-7)

HuggingFace Integration

  • Create HuggingFaceModelProvider
  • Support GGUF model downloading
  • Add recommended models list
  • Integrate with Ollama model importing

Vector Similarity

  • Create LocalEmbedder class
  • Integrate sentence-transformers
  • Implement similarity calculation
  • Add lazy model loading

Testing & Quality

Unit Tests

  • Test configuration loading
  • Test mutation types
  • Test assertion checkers
  • Test agent adapters
  • Test orchestrator
  • Test report generation

Integration Tests

  • Test full run with mock agent
  • Test CLI commands
  • Test report generation

Documentation

  • Write README.md
  • Create IMPLEMENTATION_CHECKLIST.md
  • Create ARCHITECTURE_SUMMARY.md
  • Create API_SPECIFICATION.md
  • Create CONTRIBUTING.md
  • Create CONFIGURATION_GUIDE.md

Phase 6: Essential Mutations (Week 7-8)

Core Mutation Types

  • Add ENCODING_ATTACKS mutation type
  • Add CONTEXT_MANIPULATION mutation type
  • Add LENGTH_EXTREMES mutation type
  • Update MutationType enum with all 8 types
  • Create templates for new mutation types
  • Update mutation validation for edge cases

Configuration Updates

  • Update MutationConfig defaults
  • Update example configuration files
  • Update orchestrator comments

Documentation Updates

  • Update README.md with comprehensive mutation types table
  • Add Mutation Strategy section to README
  • Update API_SPECIFICATION.md with all 8 types
  • Update MODULES.md with detailed mutation documentation
  • Add Mutation Types Guide to CONFIGURATION_GUIDE.md
  • Add Understanding Mutation Types to USAGE_GUIDE.md
  • Add Mutation Type Deep Dive to TEST_SCENARIOS.md

Phase 7: V2 Advanced Features (Roadmap - Open for Community Contribution)

Note

: These features are planned for future releases and are open for community contribution. See CONTRIBUTING.md for how to contribute.

System-Level Chaos Engineering

Goal: Test agent resilience to infrastructure failures and system-level issues.

  • Latency Injection

    • Simulate network delays and slow responses
    • Test agent timeout handling
    • Configurable delay patterns (constant, variable, spike)
    • Integration with HTTP adapter

  • Network Failure Simulation

    • Simulate connection timeouts
    • Simulate connection errors
    • Simulate partial responses
    • Test retry logic and error handling

  • Rate Limiting & Throttling

    • Test agent behavior under rate limits
    • Simulate 429 (Too Many Requests) responses
    • Test backoff strategies
    • Concurrent request testing

  • Resource Exhaustion Testing

    • Memory pressure simulation
    • CPU stress testing
    • Token limit testing (input/output)
    • Context window boundary testing

Advanced Adversarial Attacks

Goal: Test against sophisticated attack techniques from security research.

  • Advanced Prompt Injection Techniques

    • Multi-turn injection attacks
    • Role-playing attacks ("You are now...")
    • DAN (Do Anything Now) variants
    • Indirect prompt injection
    • Prompt injection via context/retrieval

  • Jailbreak Techniques

    • Obfuscation-based jailbreaks
    • Logic-based jailbreaks
    • Encoding-based jailbreaks
    • Multi-language jailbreaks
    • Adversarial suffix attacks

  • Adversarial Examples Library

    • Integration with research datasets (AdvBench, etc.)
    • Known attack patterns from literature
    • Community-contributed attack patterns
    • Attack pattern versioning and updates

  • Fuzzing Engine

    • Structure-aware fuzzing for JSON/structured inputs
    • Grammar-based fuzzing
    • Mutation-based fuzzing
    • Coverage-guided fuzzing
    • Crash detection and reporting

Multi-Turn Conversation Testing

Goal: Test agents in realistic conversation scenarios.

  • Conversation Context Testing

    • Multi-turn conversation flows
    • Context retention testing
    • Context window management
    • Conversation state tracking

  • Conversation Mutation

    • Mutate conversation history
    • Test context poisoning attacks
    • Test conversation hijacking
    • Test memory manipulation

  • Session Management Testing

    • Session persistence testing
    • Session timeout handling
    • Session isolation testing
    • Cross-session contamination testing

State & Memory Testing

Goal: Test agent state management and memory behavior.

  • State Persistence Testing

    • Test state across requests
    • Test state isolation
    • Test state corruption scenarios
    • Test state recovery

  • Memory Testing

    • Test memory leaks
    • Test memory limits
    • Test context window management
    • Test long-term memory behavior

  • Consistency Testing

    • Test response consistency across runs
    • Test deterministic behavior
    • Test reproducibility
    • Test version drift detection

Performance & Scalability Chaos

Goal: Test agent performance under various load conditions.

  • Concurrent Request Testing

    • Parallel request execution
    • Race condition testing
    • Resource contention testing
    • Load testing capabilities

  • Performance Regression Testing

    • Baseline performance tracking
    • Performance degradation detection
    • Latency spike detection
    • Throughput testing

  • Scalability Testing

    • Test with increasing load
    • Test with increasing context size
    • Test with increasing mutation count
    • Resource usage monitoring

Advanced Mutation Strategies

Goal: More sophisticated mutation generation techniques.

  • Gradient-Based Mutations

    • Use model gradients to find adversarial examples
    • Targeted mutation generation
    • High-confidence failure case generation

  • Evolutionary Mutation

    • Genetic algorithm for mutation generation
    • Evolve mutations that cause failures
    • Adaptive mutation strategies

  • Model-Specific Attacks

    • Attacks tailored to specific model architectures
    • Tokenizer-specific attacks
    • Model version-specific attacks

  • Domain-Specific Mutations

    • Industry-specific mutation templates
    • Compliance-focused mutations (HIPAA, GDPR)
    • Financial domain mutations
    • Healthcare domain mutations

Advanced Assertions & Verification

Goal: More sophisticated ways to verify agent behavior.

  • Multi-Modal Assertions

    • Image input/output testing (if applicable)
    • Audio input/output testing
    • Structured data validation
    • File attachment testing

  • Behavioral Assertions

    • Action sequence validation
    • Tool usage verification
    • API call verification
    • Side effect detection

  • Compliance Assertions

    • Regulatory compliance checks
    • Privacy compliance (GDPR, CCPA)
    • Accessibility compliance
    • Ethical AI guidelines

  • Statistical Assertions

    • Response distribution testing
    • Variance analysis
    • Outlier detection
    • Trend analysis

Observability & Debugging

Goal: Better insights into why agents fail.

  • Failure Analysis Engine

    • Automatic root cause analysis
    • Failure pattern detection
    • Common failure mode identification
    • Failure clustering

  • Debugging Tools

    • Interactive mutation explorer
    • Response diff viewer
    • Context inspector
    • State visualization

  • Traceability

    • Full request/response tracing
    • Mutation lineage tracking
    • Decision path visualization
    • Audit logging

Regression Testing & CI/CD

Goal: Integrate flakestorm into development workflows.

  • Regression Detection

    • Compare runs over time
    • Detect performance regressions
    • Detect behavior regressions
    • Baseline management

  • CI/CD Integration

    • GitHub Actions integration
    • GitLab CI integration
    • Jenkins integration
    • Pre-commit hooks

  • Test Result Tracking

    • Historical result storage
    • Trend visualization
    • Alerting on regressions
    • Dashboard for test results

Distributed & Cloud Features

Goal: Scale testing beyond local hardware.

  • Distributed Execution

    • Run tests across multiple machines
    • Parallel mutation execution
    • Distributed result aggregation
    • Cloud execution support

  • Test Result Sharing

    • Share test results across team
    • Collaborative test development
    • Test result comparison
    • Benchmark sharing

  • Cloud Model Support

    • Support for cloud LLM APIs
    • Multi-provider support (OpenAI, Anthropic, etc.)
    • Cost tracking
    • Rate limit management

Research & Experimental Features

Goal: Cutting-edge testing techniques from research.

  • Red Teaming Framework

    • Systematic red teaming workflows
    • Attack scenario templates
    • Red team report generation
    • Attack effectiveness scoring

  • Adversarial Training Integration

    • Generate training data from failures
    • Export failure cases for fine-tuning
    • Training loop integration
    • Model improvement suggestions

  • Explainability Testing

    • Test explanation quality
    • Test explanation consistency
    • Test explanation accuracy
    • Explanation robustness

  • Fairness & Bias Testing

    • Demographic parity testing
    • Equalized odds testing
    • Bias detection
    • Fairness metrics

Community & Ecosystem

Goal: Build a thriving ecosystem around flakestorm.

  • Plugin System

    • Custom mutation type plugins
    • Custom assertion plugins
    • Custom adapter plugins
    • Plugin marketplace

  • Template Library

    • Community-contributed mutation templates
    • Industry-specific templates
    • Attack pattern templates
    • Best practice templates

  • Integration Libraries

    • LangChain deep integration
    • LlamaIndex integration
    • AutoGPT integration
    • Custom framework adapters

  • Benchmark Suite

    • Standardized benchmarks
    • Public leaderboard
    • Model comparison tools
    • Performance baselines

Progress Summary

Phase Status Completion
CLI Phase 1: Foundation ✅ Complete 100%
CLI Phase 2: Mutation Engine ✅ Complete 100%
CLI Phase 3: Runner & Assertions ✅ Complete 100%
CLI Phase 4: CLI & Reporting ✅ Complete 100%
CLI Phase 5: V2 Features ✅ Complete 90%
CLI Phase 6: Essential Mutations ✅ Complete 100%
CLI Phase 7: V2 Advanced Features 🚧 Roadmap 0%
Documentation ✅ Complete 100%

Next Steps

Immediate (Current Sprint)

  1. Rust Build: Compile and integrate Rust performance module
  2. Integration Tests: Add full integration test suite
  3. PyPI Release: Prepare and publish to PyPI
  4. Community Launch: Publish to Hacker News and Reddit

Future Roadmap (Phase 7)

See Phase 7: V2 Advanced Features above for comprehensive roadmap of advanced chaos engineering and adversarial testing features. These are open for community contribution - see CONTRIBUTING.md for how to get involved.

Priority Areas for Community Contribution:

  1. System-Level Chaos - Most requested feature for production testing
  2. Multi-Turn Conversations - Critical for conversational agents
  3. Advanced Prompt Injection - Essential for security testing
  4. CI/CD Integration - High value for development workflows
  5. Plugin System - Enables ecosystem growth