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03 tasks

Documentation for 03_tasks from the Dspex repository.

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 warnings
  • mix 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

  1. Snakepit integration issues

    • Mitigation: Early prototype, close collaboration with Snakepit team
  2. Performance not meeting targets

    • Mitigation: Profile early, optimize throughout
  3. DSPy compatibility issues

    • Mitigation: Test against multiple DSPy versions

Schedule Risks

  1. Underestimated complexity

    • Mitigation: Focus on MVP features first
  2. 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