DSPex V2 Foundation - Implementation Tasks
Document Information
- Version: 1.0.0
- Date: 2025-01-19
- Status: Draft
- Phase: Foundation (Initial Phase)
- Timeline: 4 weeks
Task Overview
This document outlines the implementation tasks for DSPex V2 Foundation phase. Tasks are organized by priority and dependencies, with clear deliverables and acceptance criteria.
Week 1: Core Infrastructure
1.1 Project Setup and Dependencies
Priority: P0 (Critical)
Assignee: TBD
Duration: 2 days
Tasks:
- Create new DSPex V2 project structure
- Add Snakepit dependency to mix.exs
- Configure Python environments (general, optimizer, neural)
- Set up development tools (formatter, credo, dialyzer)
- Create basic CI/CD pipeline
Deliverables:
- Clean project with proper structure
- All dependencies installed and configured
- Development environment ready
- CI pipeline running
Acceptance Criteria:
mix compile
runs without warningsmix test
passes (even if empty)- Snakepit pools can be started
- Python environments accessible
1.2 Native Signature Implementation
Priority: P0 (Critical)
Dependencies: 1.1
Duration: 3 days
Tasks:
- Implement signature parser with tokenizer
- Build AST transformer for signatures
- Create signature validator
- Add signature compiler with caching
- Write comprehensive tests
Code Structure:
lib/dspex/
├── native/
│ ├── signature.ex
│ ├── signature/
│ │ ├── parser.ex
│ │ ├── tokenizer.ex
│ │ ├── ast.ex
│ │ └── validator.ex
Deliverables:
- Complete signature module
- Support for all DSPy signature features
- 100% test coverage
- Performance benchmarks
Acceptance Criteria:
- Parse complex signatures:
"question: str, context: list[str] -> answer: str, confidence: float"
- Validate inputs against signatures
- Compile signatures for performance
- Sub-millisecond parsing time
1.3 Snakepit Bridge Foundation
Priority: P0 (Critical)
Dependencies: 1.1
Duration: 3 days
Tasks:
- Implement PoolManager supervisor
- Create pool specifications for different workloads
- Build request/response protocol handler
- Add error classification system
- Implement health checking
Code Structure:
lib/dspex/
├── python/
│ ├── pool_manager.ex
│ ├── bridge.ex
│ ├── protocol.ex
│ ├── errors.ex
│ └── health_check.ex
Deliverables:
- Working Snakepit integration
- Multiple pool types configured
- Protocol handling with correlation
- Health monitoring system
Acceptance Criteria:
- Pools start and maintain connections
- Requests routed to appropriate pools
- Health checks detect failures
- Graceful error handling
Week 2: Core Functionality
2.1 Router Implementation
Priority: P0 (Critical)
Dependencies: 1.2, 1.3
Duration: 2 days
Tasks:
- Design router registry system
- Implement routing decision logic
- Add fallback mechanisms
- Create metrics collection
- Write router tests
Code Structure:
lib/dspex/
├── router.ex
├── router/
│ ├── registry.ex
│ ├── strategy.ex
│ ├── metrics.ex
│ └── fallback.ex
Deliverables:
- Smart routing system
- Native and Python registries
- Fallback handling
- Performance metrics
Acceptance Criteria:
- Routes to correct implementation
- Falls back on failures
- Tracks routing decisions
- Sub-10ms routing overhead
2.2 Native Template Engine
Priority: P0 (Critical)
Dependencies: 1.2
Duration: 2 days
Tasks:
- Implement EEx-based template renderer
- Add template compilation
- Create template validator
- Build template cache
- Add security measures
Deliverables:
- Fast template rendering
- Compiled template cache
- Injection prevention
- Template validation
Acceptance Criteria:
- Renders DSPy-style templates
- Prevents template injection
- Caches compiled templates
- High performance rendering
2.3 Basic Python Modules
Priority: P0 (Critical)
Dependencies: 1.3
Duration: 3 days
Tasks:
- Implement Predict module bridge
- Add ChainOfThought support
- Create Python-side bridge script
- Handle streaming responses
- Test with real DSPy
Python Bridge Script:
# priv/python/dspy_general.py
import dspy
import json
import sys
class DSPyBridge:
def __init__(self):
self.modules = {}
def handle_request(self, request):
operation = request["operation"]
args = request["args"]
if operation == "predict":
return self.predict(args)
elif operation == "chain_of_thought":
return self.chain_of_thought(args)
# ... more operations
Deliverables:
- Working Predict module
- ChainOfThought implementation
- Python bridge script
- Streaming support
Acceptance Criteria:
- Execute DSPy operations
- Handle errors gracefully
- Support streaming responses
- Match DSPy semantics
2.4 Public API Design
Priority: P1 (High)
Dependencies: 2.1, 2.2, 2.3
Duration: 1 day
Tasks:
- Design clean public API
- Add proper delegation
- Create API documentation
- Add type specs
- Ensure backwards compatibility path
Deliverables:
- Clean, intuitive API
- Complete documentation
- Type specifications
- Usage examples
Acceptance Criteria:
- API feels Elixir-native
- All functions documented
- Types properly specified
- Examples work correctly
Week 3: Advanced Features
3.1 Pipeline Engine
Priority: P0 (Critical)
Dependencies: 2.1, 2.3
Duration: 3 days
Tasks:
- Design pipeline DSL
- Implement step execution
- Add parallel execution support
- Create pipeline compiler
- Build monitoring hooks
Pipeline Example:
pipeline = DSPex.pipeline([
{:native, Signature, spec: "..."},
{:python, "dspy.ChainOfThought", signature: "..."},
{:parallel, [
{:native, Search, index: "docs"},
{:python, "dspy.ColBERTv2", k: 10}
]}
])
Deliverables:
- Pipeline definition DSL
- Sequential/parallel execution
- Error handling
- Performance monitoring
Acceptance Criteria:
- Define complex pipelines
- Mix native and Python steps
- Handle failures gracefully
- Monitor execution
3.2 Session Management
Priority: P1 (High)
Dependencies: 1.3
Duration: 2 days
Tasks:
- Implement session creation
- Add worker affinity
- Build session state management
- Create cleanup mechanisms
- Add session persistence
Deliverables:
- Stateful session support
- Worker affinity
- Automatic cleanup
- Session persistence
Acceptance Criteria:
- Maintain state across calls
- Sessions bound to workers
- Cleanup inactive sessions
- Recover from failures
3.3 Protocol Optimization
Priority: P1 (High)
Dependencies: 1.3
Duration: 2 days
Tasks:
- Add MessagePack support
- Implement Apache Arrow for large data
- Create protocol auto-selection
- Add compression support
- Benchmark protocols
Deliverables:
- Multiple protocol support
- Automatic selection
- Performance benchmarks
- Protocol documentation
Acceptance Criteria:
- Support JSON, MessagePack, Arrow
- Auto-select based on data
- Improve performance for large data
- Maintain compatibility
3.4 Monitoring and Telemetry
Priority: P1 (High)
Dependencies: All
Duration: 2 days
Tasks:
- Define telemetry events
- Add execution tracing
- Create metrics collectors
- Build monitoring dashboard
- Add alerting hooks
Telemetry Events:
:telemetry.execute(
[:dspex, :router, :route],
%{duration: duration},
%{implementation: :native, operation: :signature}
)
Deliverables:
- Comprehensive telemetry
- Performance metrics
- Error tracking
- Dashboard prototype
Acceptance Criteria:
- Track all operations
- Measure performance
- Detect anomalies
- Export metrics
Week 4: Production Readiness
4.1 Error Handling Enhancement
Priority: P0 (Critical)
Duration: 2 days
Tasks:
- Implement circuit breakers
- Add retry logic with backoff
- Create error recovery strategies
- Build error reporting
- Add error documentation
Deliverables:
- Robust error handling
- Automatic recovery
- Clear error messages
- Error tracking
Acceptance Criteria:
- Graceful degradation
- Automatic retry
- Helpful error messages
- No cascading failures
4.2 Performance Optimization
Priority: P0 (Critical)
Duration: 2 days
Tasks:
- Profile critical paths
- Optimize native operations
- Add caching layers
- Tune pool sizes
- Create benchmarks
Deliverables:
- Performance improvements
- Caching system
- Optimized pools
- Benchmark suite
Acceptance Criteria:
- Meet latency targets
- Achieve throughput goals
- Efficient resource usage
- Reproducible benchmarks
4.3 Documentation
Priority: P0 (Critical)
Duration: 2 days
Tasks:
- Write getting started guide
- Create API reference
- Add architecture documentation
- Write deployment guide
- Create troubleshooting guide
Documentation Structure:
docs/
├── getting_started.md
├── api_reference.md
├── architecture.md
├── deployment.md
├── troubleshooting.md
└── examples/
├── basic_usage.md
├── pipelines.md
└── advanced_patterns.md
Deliverables:
- Complete documentation
- Code examples
- Architecture diagrams
- Deployment guides
Acceptance Criteria:
- Clear and comprehensive
- Examples run correctly
- Covers common use cases
- Easy to navigate
4.4 Testing and Quality
Priority: P0 (Critical)
Duration: 2 days
Tasks:
- Achieve >90% test coverage
- Add integration tests
- Create load tests
- Run security audit
- Fix all critical issues
Test Structure:
test/
├── unit/
│ ├── native/
│ ├── python/
│ └── router/
├── integration/
│ ├── pipeline_test.exs
│ └── end_to_end_test.exs
└── performance/
├── load_test.exs
└── benchmark_test.exs
Deliverables:
- Comprehensive test suite
- Load test results
- Security audit report
- Quality metrics
Acceptance Criteria:
90% code coverage
- All tests passing
- Load tests successful
- No security issues
4.5 Release Preparation
Priority: P0 (Critical)
Duration: 1 day
Tasks:
- Create release checklist
- Tag version 0.1.0
- Prepare changelog
- Update README
- Plan announcement
Deliverables:
- Tagged release
- Complete changelog
- Updated documentation
- Announcement ready
Acceptance Criteria:
- Clean release
- No blocking issues
- Documentation complete
- Community notified
Success Metrics
Technical Metrics
- All P0 tasks completed
- >90% test coverage achieved
- Performance targets met
- Zero critical bugs
Quality Metrics
- Clean codebase (Credo passing)
- Type specs complete (Dialyzer passing)
- Documentation comprehensive
- Examples working
Timeline Metrics
- Week 1 deliverables complete
- Week 2 deliverables complete
- Week 3 deliverables complete
- Week 4 deliverables complete
Risk Mitigation
Technical Risks
Snakepit integration issues
- Mitigation: Early prototype, close collaboration with Snakepit team
Performance not meeting targets
- Mitigation: Profile early, optimize throughout
DSPy compatibility issues
- Mitigation: Test against multiple DSPy versions
Schedule Risks
Underestimated complexity
- Mitigation: Focus on MVP features first
Dependencies blocking progress
- Mitigation: Parallel work streams where possible
Next Phase Preview
After successful completion of the Foundation phase:
Phase 2: Advanced Features (Weeks 5-8)
- Variable system integration
- Real-time cognitive orchestration
- Multi-agent coordination
- Advanced DSPy patterns
Phase 3: Production Features (Weeks 9-12)
- Distributed execution
- Auto-scaling
- Advanced monitoring
- Enterprise features