Atlas Feature-Driven Implementation Plan

Consolidated File Structure

Status Legend

✅ Complete - Implementation finished and tested
🚧 In Progress - Implementation actively being worked on
🔄 Planned (Short-term) - Next items in the implementation queue
🔲 Planned (Long-term) - Designed but scheduled for later implementation

Feature Priority Legend

🔴 Primary Features - Core functionality that must be delivered first
🟠 Secondary Features - Important functionality built on primary features
🟢 Tertiary Features - Additional functionality that enhances the system
🔵 Future Features - Planned for future releases

atlas/                                        # ⚠️ DIRECTORY DOES NOT EXIST YET
├── core/                                     # Core abstractions and primitives
│   ├── schema/                               # Schema definitions & validation   🔴
│   │   ├── __init__.py                       # Package initialization           🔲
│   │   ├── base.py                           # Base schema classes              🔲
│   │   ├── version.py                        # Version tracking for schemas     🔲
│   │   ├── buffer.py                         # Buffer schemas                   🔲
│   │   ├── event.py                          # Event schemas                    🔲
│   │   ├── state.py                          # State schemas                    🔲
│   │   ├── command.py                        # Command schemas                  🔲
│   │   ├── provider.py                       # Provider schemas                 🔲
│   │   ├── document.py                       # Document schemas                 🔲
│   │   ├── agent.py                          # Agent schemas                    🔲
│   │   ├── task.py                           # Task schemas                     🔲
│   │   ├── registry.py                       # Schema registry for discovery    🔲
│   │   ├── factory.py                        # Schema factory utilities         🔲
│   │   ├── migration.py                      # Schema version migration tools   🔲
│   │   ├── validation.py                     # Cross-cutting validation rules   🔲
│   │   ├── fields.py                         # Custom schema fields             🔲
│   │   ├── serialization.py                  # Serialization helpers            🔲
│   │   └── validators.py                     # Custom validators                🔲
│   ├── primitives/                           # Foundational protocols and types
│   │   ├── buffer/                           # Stream buffering system          🔴
│   │   │   ├── __init__.py                   # Package initialization           🔲
│   │   │   ├── protocol.py                   # Buffer protocol definitions      🔲
│   │   │   ├── state.py                      # Buffer state enumerations        🔲
│   │   │   └── types.py                      # Buffer-related type definitions  🔲
│   │   ├── commands/                         # Command system                   🟠
│   │   │   ├── __init__.py                   # Package initialization           🔲
│   │   │   ├── protocol.py                   # Command protocol definitions     🔲
│   │   │   └── types.py                      # Command-related type definitions 🔲
│   │   ├── events/                           # Event system                     🔴
│   │   │   ├── __init__.py                   # Package initialization           🔲
│   │   │   ├── protocol.py                   # Event protocol definitions       🔲
│   │   │   ├── types.py                      # Event-related type definitions   🔲
│   │   │   └── filter.py                     # Event filtering capabilities     🔲
│   │   ├── perspective/                      # Perspective-shifting system      🟠
│   │   │   ├── __init__.py                   # Package initialization           🔲
│   │   │   ├── protocol.py                   # Perspective protocol definitions 🔲
│   │   │   └── types.py                      # Perspective-related definitions  🔲
│   │   ├── registry/                         # Registration system              🟠
│   │   │   ├── __init__.py                   # Package initialization           🔲
│   │   │   ├── protocol.py                   # Registry protocol definitions    🔲
│   │   │   └── types.py                      # Registry-related definitions     🔲
│   │   ├── resources/                        # Resource management system       🔴
│   │   │   ├── __init__.py                   # Package initialization           🔲
│   │   │   ├── protocol.py                   # Resource protocol definitions    🔲
│   │   │   └── types.py                      # Resource-related definitions     🔲
│   │   ├── state/                            # State management system          🔴
│   │   │   ├── __init__.py                   # Package initialization           🔲
│   │   │   ├── protocol.py                   # State protocol definitions       🔲
│   │   │   ├── container.py                  # State container protocol         🔲
│   │   │   ├── transition.py                 # State transition protocol        🔲
│   │   │   └── types.py                      # State-related type definitions   🔲
│   │   └── transitions/                      # Transition management system     🔴
│   │       ├── __init__.py                   # Package initialization           🔲
│   │       ├── protocol.py                   # Transition protocol definitions  🔲
│   │       └── types.py                      # Transition-related definitions   🔲
│   ├── components/                           # NERV architectural components
│   │   ├── __init__.py                       # Package initialization           🔲
│   │   ├── aspect_weaver.py                  # Aspect-oriented programming      🔲
│   │   ├── container.py                      # Dependency injection container   🔲
│   │   ├── diff_synchronizer.py              # State diffing and synchronization🔲
│   │   ├── effect_monad.py                   # Effect tracking and management   🔲
│   │   ├── event_bus.py                      # Reactive event communication     🔲
│   │   ├── perspective_aware.py              # Context-specific views           🔲
│   │   ├── quantum_partitioner.py            # Parallel execution system        🔲
│   │   ├── state_projector.py                # Efficient state evolution        🔲
│   │   └── temporal_store.py                 # Temporal state tracking          🔲
│   ├── patterns/                             # Design patterns implementation
│   │   ├── __init__.py                       # Package initialization           🔲
│   │   ├── command.py                        # Command pattern                  🔲
│   │   ├── dependency_injection.py           # Dependency injection pattern     🔲
│   │   ├── perspective.py                    # Perspective shifting pattern     🔲
│   │   ├── pub_sub.py                        # Publish-subscribe pattern        🔲
│   │   ├── reactive.py                       # Reactive programming pattern     🔲
│   │   └── resource_management.py            # Resource management pattern      🔲
│   └── composites/                           # Composite architectural patterns
│       ├── __init__.py                       # Package initialization           🔲
│       ├── adaptive_state_management.py      # Adaptive state management        🔲
│       ├── event_driven.py                   # Event-driven architecture        🔲
│       └── parallel_workflow_engine.py       # Dependency-based parallel exec   🔲
├── providers/                                # LLM provider implementations     🔴
│   ├── services/                             # Provider service interfaces
│   │   ├── __init__.py                       # Package initialization           🔲
│   │   ├── base.py                           # Service-enabled provider base    🔲
│   │   ├── capability_registry.py            # Provider capability registry     🔲
│   │   ├── selection.py                      # Provider selection strategies    🔲
│   │   ├── group.py                          # Provider group implementation    🔲
│   │   ├── streaming/                        # Streaming capabilities
│   │   │   ├── __init__.py                   # Package initialization           🔲
│   │   │   ├── buffer.py                     # Provider streaming buffer        🔲
│   │   │   ├── control.py                    # Streaming control interface      🔲
│   │   │   └── metrics.py                    # Streaming performance metrics    🔲
│   │   └── types/                            # Provider type definitions
│   │       ├── __init__.py                   # Package initialization           🔲
│   │       ├── streaming.py                  # Streaming response types         🔲
│   │       └── options.py                    # Provider options types           🔲
│   └── implementations/                      # Specific provider implementations
│       ├── anthropic.py                      # Anthropic provider               🔲
│       ├── openai.py                         # OpenAI provider                  🔲
│       └── ollama.py                         # Ollama provider                  🔲
├── agents/                                   # Agent system implementation      🔴
│   ├── services/                             # Agent service interfaces
│   │   ├── base.py                           # Service-enabled agent base       🔲
│   │   ├── controller.py                     # Agent controller implementation  🔲
│   │   └── registry.py                       # Agent registry service           🔲
│   ├── messaging/                            # Agent messaging system
│   │   ├── message.py                        # Structured message implementation🔲
│   │   └── routing.py                        # Message routing with EventBus    🔲
│   └── specialized/                          # Specialized agent implementations
│       ├── task_aware_agent.py               # Task-aware agent implementation  🔲
│       └── tool_agent.py                     # Tool-enabled agent implementation🔲
├── knowledge/                                # Knowledge system implementation  🔴
│   ├── services/                             # Knowledge service interfaces
│   │   ├── chunking.py                       # Document chunking system         🔲
│   │   ├── embedding.py                      # Embedding service                🔲
│   │   ├── retrieval.py                      # Retrieval service                🔲
│   │   └── hybrid_search.py                  # Hybrid search implementation     🔲
│   └── persistence/                          # Storage implementation
│       ├── storage.py                        # Storage abstraction              🔲
│       └── chromadb.py                       # ChromaDB adapter                 🔲
├── orchestration/                            # Workflow orchestration           🟠
│   ├── workflow/                             # Workflow system
│   │   ├── engine.py                         # Workflow engine implementation   🔲
│   │   ├── task.py                           # Task implementation              🔲
│   │   └── dependency.py                     # Dependency management            🔲
│   └── parallel/                             # Parallel execution system
│       ├── executor.py                       # Parallel executor implementation 🔲
│       └── scheduler.py                      # Task scheduler implementation    🔲
├── cli/                                      # Command line interface           🟠
│   ├── __init__.py                           # Package initialization           🔲
│   ├── config.py                             # Configuration utilities          🔲
│   ├── parser.py                             # Command-line argument parsing    🔲
│   └── textual/                              # Textual CLI components
│       ├── __init__.py                       # Package initialization           🔲
│       ├── app.py                            # Main application class           🔲
│       ├── commands.py                       # Command execution system         🔲
│       ├── schema.py                         # Command schema definitions       🔲
│       ├── config.py                         # Configuration management         🔲
│       ├── screens/                          # Screen implementations
│       │   ├── __init__.py                   # Package initialization           🔲
│       │   ├── main.py                       # Main application screen          🔲
│       │   ├── provider.py                   # Provider selection screen        🔲
│       │   ├── ingest.py                     # Document ingestion screen        🔲
│       │   └── tools.py                      # Tool management screen           🔲
│       └── widgets/                          # Custom widget components
│           ├── __init__.py                   # Package initialization           🔲
│           ├── command_bar.py                # Command input bar                🔲
│           ├── conversation.py               # Message display area             🔲
│           ├── status.py                     # Status and metrics display       🔲
│           └── stream_controls.py            # Streaming control widgets        🔲
└── examples/                                 # Example implementations
    ├── __init__.py                           # Package initialization           🔲
    ├── 02_streaming_chat.py                  # Streaming chat example           🔲
    ├── 04_multi_provider_routing.py          # Multi-provider routing example   🔲
    ├── 08_agent_delegation.py                # Agent delegation example         🔲
    ├── 12_knowledge_retrieval.py             # Knowledge retrieval example      🔲
    ├── 15_workflow_execution.py              # Workflow execution example       🔲
    └── 20_command_cli.py                     # Command CLI example              🔲

CLEAN BREAK WITH VERTICAL FEATURE SLICES

This document outlines a revised implementation approach for Atlas that maintains the clean break architecture vision while focusing on delivering complete functional features through vertical slices. Rather than building the entire architecture layer by layer, we will implement the minimal necessary components of each layer needed to deliver specific features, allowing us to demonstrate functional value earlier and reduce implementation risk.

Current Status (May 23, 2025)

✅ Moved existing implementation to atlas_legacy for clean break
🔴 ACTUAL STATE: No new code has been implemented in atlas/ directory yet
🔄 Need to create initial atlas directory structure
🔄 Need to implement buffer protocol and types
🔄 Need to implement event system protocols
🔄 Need to implement state container protocols
🔲 Planning to shift from horizontal layer implementation to vertical feature slices
🔲 Will prioritize core services required for streaming chat functionality
🔲 Will implement event system components for streaming support
🔲 Will add schema validation with Marshmallow for critical data structures

Status Legend

✅ Complete - Implementation finished and tested
🚧 In Progress - Implementation actively being worked on
🔄 Planned (Short-term) - Next items in the implementation queue
🔲 Planned (Long-term) - Designed but scheduled for later implementation

Feature Priority Legend

🔴 Primary Features - Core functionality that must be delivered first
🟠 Secondary Features - Important functionality built on primary features
🟢 Tertiary Features - Additional functionality that enhances the system
🔵 Future Features - Planned for future releases

1. Feature-Driven Vertical Slices

Rather than building complete horizontal layers of the architecture, we are reorganizing our implementation strategy around vertical feature slices that deliver functional value while maintaining architectural integrity.

Each feature slice:

Implements the minimum necessary components from each architecture layer
Delivers complete end-to-end functionality that users can test and validate
Follows the clean break architecture principles within its scope
Enables incremental adoption and testing of the architecture
Includes schema validation (Marshmallow) for all critical data structures
Leverages appropriate third-party libraries for its specific functionality

1.1 Feature Slice Diagram

┌───────────────────────────────────────────────────────────────────────────┐
│                        FEATURE SLICE ARCHITECTURE                         │
└───────────────────────────────────────────────────────────────────────────┘

┌──────────┐ ┌──────────┐ ┌──────────┐ ┌──────────┐ ┌──────────┐ ┌──────────┐
│          │ │          │ │          │ │          │ │          │ │          │
│ Streaming│ │  Agent   │ │Knowledge │ │  Multi-  │ │ Workflow │ │ Command  │
│   Chat   │ │Delegation│ │Retrieval │ │ Provider │ │Execution │ │   CLI    │
│          │ │          │ │          │ │ Routing  │ │          │ │          │
└────┬─────┘ └────┬─────┘ └────┬─────┘ └────┬─────┘ └────┬─────┘ └────┬─────┘
    ↑│↓          ↑│↓          ↑│↓          ↑│↓          ↑│↓          ↑│↓
┌────┴─────┐ ┌────┴─────┐ ┌────┴─────┐ ┌────┴─────┐ ┌────┴─────┐ ┌────┴─────┐
│Components│ │Components│ │Components│ │Components│ │Components│ │Components│
│          │ │          │ │          │ │          │ │          │ │          │
└────┬─────┘ └────┬─────┘ └────┬─────┘ └────┬─────┘ └────┬─────┘ └────┬─────┘
    ↑│↓          ↑│↓          ↑│↓          ↑│↓          ↑│↓          ↑│↓
┌────┴─────┐ ┌────┴─────┐ ┌────┴─────┐ ┌────┴─────┐ ┌────┴─────┐ ┌────┴─────┐
│ Services │ │ Services │ │ Services │ │ Services │ │ Services │ │ Services │
│          │ │          │ │          │ │          │ │          │ │          │
└────┬─────┘ └────┬─────┘ └────┬─────┘ └────┬─────┘ └────┬─────┘ └────┬─────┘
    ↑│↓          ↑│↓          ↑│↓          ↑│↓          ↑│↓          ↑│↓
┌────┴─────┐ ┌────┴─────┐ ┌────┴─────┐ ┌────┴─────┐ ┌────┴─────┐ ┌────┴─────┐
│   NERV   │ │   NERV   │ │   NERV   │ │   NERV   │ │   NERV   │ │   NERV   │
│Components│ │Components│ │Components│ │Components│ │Components│ │Components│
└────┬─────┘ └────┬─────┘ └────┬─────┘ └────┬─────┘ └────┬─────┘ └────┬─────┘
    ↑│↓          ↑│↓          ↑│↓          ↑│↓          ↑│↓          ↑│↓
┌────┴─────┐ ┌────┴─────┐ ┌────┴─────┐ ┌────┴─────┐ ┌────┴─────┐ ┌────┴─────┐
│  Inner   │ │  Inner   │ │  Inner   │ │  Inner   │ │  Inner   │ │  Inner   │
│ Universe │ │ Universe │ │ Universe │ │ Universe │ │ Universe │ │ Universe │
└──────────┘ └──────────┘ └──────────┘ └──────────┘ └──────────┘ └──────────┘

1.2 Schema Layer and Third-Party Integration

The Schema Layer is a foundational component that runs throughout all feature slices, providing validation, serialization, and documentation through Marshmallow schemas. Each feature slice integrates specific third-party libraries to leverage battle-tested implementations:

Feature Slice	Marshmallow Schemas	Third-Party Libraries
Streaming Chat	StreamingResponseSchema: Validates streaming responses with detailed fields TokenSchema: Polymorphic schema hierarchy for different token types EventSchema: Validates event bus communications BufferSchema: Validates buffer configuration and states StateContainerSchema: Validates immutable state containers	Blinker: Event subscription and publication for reactive communication Pyrsistent: Immutable data structures for thread-safe state management Effect: Side effect tracking for testable streaming operations Marshmallow: Schema validation for data structures
Agent Delegation	AgentSchema: Validates agent configuration and capabilities MessageSchema: Validates inter-agent message structure TaskSchema: Validates agent task definitions and state ControllerSchema: Validates controller state and routing	Eventsourcing: Temporal state tracking with event-sourcing pattern Blinker: Agent message publication and subscription Pyrsistent: Immutable agent state representation DiffSync: State synchronization between agent components
Knowledge Retrieval	DocumentSchema: Validates document structure and metadata ChunkSchema: Validates document chunks with positional data EmbeddingSchema: Validates vector embeddings and models QuerySchema: Validates search queries and parameters	Marshmallow: Schema-based data transformations for perspectives AspectLib: Cross-cutting concerns management for retrieval pipeline Pyrsistent: Immutable document representation Dependency Injector: Component wiring for retrieval services
Multi-Provider Routing	ProviderSchema: Validates provider configuration CapabilitySchema: Validates provider capabilities and features RoutingSchema: Validates routing strategies and rules ModelSchema: Validates model specifications and parameters	Dependency Injector: Container-based provider registration and resolution Effect: Controlled side effects for provider operations DiffSync: Provider state reconciliation Marshmallow: Schema-based provider capability validation
Workflow Execution	WorkflowSchema: Validates workflow structure and stages TaskSchema: Validates workflow tasks with dependencies DependencySchema: Validates task dependencies and ordering ResourceSchema: Validates resource requirements and constraints	TaskMap: Dependency-based parallel execution of workflow tasks Blinker: Event-driven coordination between workflow tasks Effect: Side effect management in workflow execution Pyrsistent: Immutable workflow definitions and state
Command CLI	CommandSchema: Validates command structure and parameters ParameterSchema: Validates command parameters and type definitions ResultSchema: Validates command results and formatting ViewSchema: Validates UI presentation rules	Marshmallow: Command parameter validation and serialization Dependency Injector: Command dependency resolution and lookup AspectLib: Cross-cutting command concerns like logging and authorization Effect: Command execution effect management

The Schema Layer provides consistent patterns for:

Validation: Input/output validation across all components
Serialization: Consistent serialization for persistence and transport
Documentation: Auto-generated API documentation from schema definitions
Schema Evolution: Version-aware schema migration capabilities
Cross-Feature Integration: Common schema patterns for interoperability

1.3 Key Feature Slices

We have identified six key feature slices that will drive our implementation:

Streaming Chat 🔴
- Real-time streaming conversation with LLM providers
- Includes provider interaction, streaming buffer, and response parsing
- Demonstrates event-driven architecture and buffer system
Agent Delegation 🔴
- Task delegation between multiple specialized agents
- Includes agent messaging, state tracking, and task coordination
- Demonstrates event-driven communication and state management
Knowledge Retrieval 🔴
- Document chunking, embedding, and semantic search
- Includes vector storage, hybrid search, and context integration
- Demonstrates persistence layer and state projection
Multi-Provider Routing 🟠
- Intelligent routing between different LLM providers
- Includes capability matching, fallback strategies, and cost optimization
- Demonstrates registry pattern and effect tracking
Workflow Execution 🟠
- Complex multi-step workflow orchestration
- Includes parallel execution, dependency management, and error handling
- Demonstrates quantum partitioning and reactive event mesh
Command CLI 🟠
- Textual-based command-line interface
- Includes command parsing, execution, and response formatting
- Demonstrates command pattern and perspective shifting

2. Feature Slice 1: Streaming Chat

2.1 Feature Overview

Streaming Chat enables real-time, token-by-token streaming of LLM responses to provide an interactive chat experience. This is our highest priority feature because it:

Provides immediate user value
Demonstrates key architectural patterns
Establishes patterns for provider integration
Enables testing of core services (event, buffer, state)

2.2 Implementation Status

🔄 Defining buffer protocol and types
🔄 Defining event primitives and protocols
🔄 Defining state container protocols
🔄 Designing event bus interface
🔄 Creating streaming response model
🔄 Planning buffer service implementation
🔄 Designing service-enabled provider interface
🔲 Implementing buffer service
🔲 Implementing event system
🔲 Implementing state container
🔲 Implementing provider streaming capabilities
🔲 Building streaming chat example

2.3 Implementation Components

The Streaming Chat feature slice implements the following components:

Core Type System Components

Event Types:
- EventT, EventT_co - Generic event type variables with variance control
- EventIdT - Unique identifier for events
- SourceT - Event source identifier type
- EventSubscriberT - Event subscriber protocol
- EventFilterT - Event filtering predicate type
- EventHandlerT - Event handler callable type
- EventMetadata - Event metadata tracking
Buffer Types:
- TokenT, TokenT_co, TokenT_contra - Token type variables with variance
- BufferStateT - Buffer state enumeration
- FlowControlT - Flow control protocol
- BufferCapacityT - Buffer capacity configuration
- BufferError - Buffer operation error types
State Types:
- StateT, StateT_co, StateT_contra - State type variables with variance
- VersionT - State version identifier
- StateIdT - Unique state identifier
- StateTransitionT - State transition type
- StateValidatorT - State validation protocol
- StateProjectionT - State projection protocol
Streaming Types:
- StreamingResponseT - Streaming response type
- ContentT - Content type for accumulation
- ProviderT - Provider type for streaming
- ResponseMetadataT - Response metadata type
- StreamErrorT - Streaming error types

Implementation Components

EventBus: Real-time event communication
- Event publication and subscription
- Event filtering and routing
- Thread-safe operation
- Event context tracking
- Middleware pipeline for event transformation
- Completion and error handling
- Library: Blinker for signal-based event dispatch
- Schema Validation: EventSchema with Marshmallow validation
Buffer Service: Stream token management
- Thread-safe token queue
- Backpressure control
- Flow rate management
- Token accumulation
- Buffer overflow protection
- Multi-consumer support
- Library: Pyrsistent for immutable buffer state
- Schema Validation: BufferSchema with capacity and configuration validation
State Container: Streaming response state
- Current response state
- Token history tracking
- Metadata tracking
- State transitions
- Versioning support
- State projections
- Libraries: Pyrsistent for immutable state, Eventsourcing for history
- Schema Validation: StateSchema with transition validation
Provider Adapter: LLM integration
- Provider-specific adapters
- Streaming support
- Error handling
- Token parsing
- Completion detection
- Performance monitoring
- Library: Effect for provider operation side effects
- Schema Validation: ProviderSchema with capability validation

2.4 Implementation Roadmap

Foundation: Protocol Definitions

May 20-21, 2025 🔄
Define buffer, event, and state protocols
Create type definitions and enumerations
Design protocol interactions
Document protocol behaviors
Implement protocol validation utilities

Core Service Implementation

May 21-22, 2025 🔲
Implement EventBus using Blinker
Create Buffer service with flow control
Build state container with versioning
Implement thread safety mechanisms
Add event middleware pipeline

Streaming Provider Implementation

May 22-23, 2025 🔲
Implement ServiceEnabledProvider with EventBus
Create provider-specific streaming commands
Build streaming buffer adapter for providers
Add provider event publication
Implement token accumulation

Provider Implementations & Example

May 23-24, 2025 🔲
Implement Anthropic provider with streaming
Create OpenAI provider with streaming
Build Ollama provider with streaming
Create streaming chat example
Implement streaming chat CLI interface

3. Feature Slice 2: Agent Delegation

3.1 Feature Overview

Agent Delegation enables task delegation and coordination between specialized agents working together to solve complex problems. This feature:

Showcases agent collaboration capabilities
Establishes message passing patterns
Demonstrates stateful agent behavior
Enables complex task decomposition

3.2 Implementation Status

🔄 Defining agent messaging protocols
🔄 Creating agent state model
🔲 Implementing controller agent architecture
🔲 Building message routing system
🔲 Designing task delegation patterns
🔲 Creating specialized agent implementations
🔲 Building agent delegation example

3.3 Implementation Components

The Agent Delegation feature slice implements the following components:

Core Type System Components

Agent Types:
- AgentT, AgentT_co - Generic agent type variables with variance
- AgentIdT - Unique agent identifier
- AgentRoleT - Agent role enumeration
- AgentStateT - Agent state type
- AgentCapabilityT - Agent capability type
- AgentConfigT - Agent configuration type
- AgentErrorT - Agent error types
Message Types:
- MessageT - Generic message type
- MessageIdT - Unique message identifier
- MessageContentT - Message content type
- MessageDirectionT - Message direction enumeration
- MessagePriorityT - Message priority enumeration
- MessageStatusT - Message status enumeration
- MessageRoutingInfoT - Routing information type
Task Types:
- TaskT - Generic task type
- TaskIdT - Unique task identifier
- TaskStatusT - Task status enumeration
- TaskPriorityT - Task priority enumeration
- TaskResultT - Task result type
- TaskDependencyT - Task dependency type
- TaskErrorT - Task error types
Controller Types:
- ControllerT - Controller type
- ControllerStateT - Controller state type
- ControllerStrategyT - Controller strategy protocol
- AgentRegistryT - Agent registry type
- ControllerErrorT - Controller error types

Implementation Components

TemporalStore: Agent state tracking
- Version history management
- State transitions
- Checkpoint capabilities
- State serialization
- Temporal queries
- Diff-based state updates
- Library: Eventsourcing for temporal event storage
- Schema Validation: AgentSchema with Marshmallow validation
Message System: Agent communication
- Structured message format
- Message routing
- Delivery confirmation
- Message prioritization
- Message filtering
- Serialization support
- Library: Blinker for message publication/subscription
- Schema Validation: MessageSchema with content validation
Controller: Coordination and orchestration
- Agent registration
- Task delegation
- Progress tracking
- Error handling
- Resource management
- Strategy selection
- Libraries: Dependency Injector for agent wiring, DiffSync for state synchronization
- Schema Validation: ControllerSchema with delegation rules
Agent Registry: Agent discovery
- Agent capability matching
- Agent availability tracking
- Dynamic agent registration
- Agent metadata storage
- Version management
- Health monitoring
- Library: Dependency Injector for registry container
- Schema Validation: RegistrySchema with capability matching rules

3.4 Implementation Roadmap

Foundation: Agent State & Messaging

May 23-24, 2025 🔄
Implement TemporalStore for agent state tracking
Create message model with serialization
Implement message routing system
Add agent state transition management
Create agent event publication

Controller & Delegation

May 24-25, 2025 🔲
Implement controller agent architecture
Create task delegation patterns
Build message passing protocols
Implement task tracking with state
Add agent registry for discovery

Specialized Agents & Example

May 25-26, 2025 🔲
Implement task-aware agent
Create tool-enabled agent
Build knowledge agent
Implement agent delegation example
Create agent delegation CLI interface

4. Feature Slice 3: Knowledge Retrieval

4.1 Feature Overview

Knowledge Retrieval enables semantic search and retrieval of documents to enhance LLM responses with relevant information. This feature:

Provides critical context augmentation
Demonstrates persistence layer integration
Showcases buffer system for search results
Establishes document processing patterns

4.2 Implementation Status

🔄 Defining chunking and embedding protocols
🔄 Creating retrieval service interface
🔲 Implementing document chunking strategies
🔲 Building embedding service
🔲 Designing vector store integration
🔲 Creating hybrid search implementation
🔲 Building knowledge retrieval example

4.3 Implementation Components

The Knowledge Retrieval feature slice implements the following components:

Core Type System Components

Document Types:
- DocumentT - Generic document type
- DocumentIdT - Unique document identifier
- DocumentContentT - Document content type
- DocumentMetadataT - Document metadata type
- ChunkT - Document chunk type
- ChunkIdT - Unique chunk identifier
- ChunkMetadataT - Chunk metadata type
Embedding Types:
- EmbeddingT - Generic embedding type
- EmbeddingIdT - Unique embedding identifier
- EmbeddingModelT - Embedding model type
- EmbeddingConfigT - Embedding configuration type
- EmbeddingVectorT - Vector representation type
- EmbeddingErrorT - Embedding error types
Query Types:
- QueryT - Generic query type
- QueryIdT - Unique query identifier
- QueryResultT - Query result type
- QueryParamsT - Query parameters type
- SimilarityMeasureT - Similarity measure enumeration
- RankingStrategyT - Result ranking strategy protocol
- QueryErrorT - Query error types
Storage Types:
- StorageT - Generic storage type
- StorageIdT - Unique storage identifier
- StorageConfigT - Storage configuration type
- PersistenceStrategyT - Persistence strategy protocol
- StorageMetadataT - Storage metadata type
- StorageErrorT - Storage error types

Implementation Components

PerspectiveAware: Context-specific views
- Schema-based transformations
- Context-aware projections
- View validation
- Data filtering
- Schema generation
- Serialization support
- Library: Marshmallow for schema-based transformations
- Schema Validation: DocumentSchema with perspective rules
Chunking Service: Document processing
- Semantic chunking
- Size-based chunking
- Recursive chunking
- Overlap management
- Metadata extraction
- Content cleaning
- Library: AspectLib for cross-cutting document processing concerns
- Schema Validation: ChunkSchema with boundary validation
Embedding Service: Vector generation
- Multiple model support
- Batch embedding
- Caching strategy
- Dimensionality handling
- Error recovery
- Performance optimization
- Library: Effect for embedding operation side effects
- Schema Validation: EmbeddingSchema with vector validation
Vector Store: Persistence layer
- ChromaDB integration
- Vector storage
- Metadata management
- Query optimization
- Index management
- Collection handling
- Library: Dependency Injector for store component wiring
- Schema Validation: StorageSchema with configuration validation

4.4 Implementation Roadmap

Foundation: Document Processing

May 26-27, 2025 🔄
Implement document chunking strategies
Create embedding service with providers
Build resource management for storage
Add event publication for processing steps
Implement resource cleanup

Vector Store & Retrieval

May 27-28, 2025 🔲
Implement ChromaDB adapter with persistence
Create vector search capabilities
Build metadata filtering
Implement result ranking algorithms
Add search result buffering

Hybrid Search & Example

May 28-29, 2025 🔲
Implement hybrid search (vector + keyword)
Create context enrichment pipeline
Build document tracking with versioning
Implement knowledge retrieval example
Create retrieval CLI interface

5. Feature Slice 4: Multi-Provider Routing

5.1 Feature Overview

Multi-Provider Routing enables intelligent selection and fallback between different LLM providers based on capabilities, performance, and cost. This feature:

Optimizes provider selection
Demonstrates registry pattern
Showcases capability matching
Enables cost optimization

5.2 Implementation Status

🔄 Defining provider service interfaces
🔄 Creating capability registry protocols
🔲 Implementing provider registry
🔲 Building capability-based selection
🔲 Designing fallback strategies
🔲 Creating provider group implementation
🔲 Building multi-provider routing example

5.3 Implementation Components

Container: Dependency injection framework
- Service registration
- Component resolution
- Lifecycle management
- Factory patterns
- Resource pooling
- Library: Dependency Injector for container implementation
- Schema Validation: ContainerSchema with dependency rules
Provider Registry: Provider discovery and selection
- Provider registration
- Capability matching
- Version management
- Health monitoring
- Metadata management
- Library: Dependency Injector for registry container
- Schema Validation: ProviderSchema with capability validation
Routing Strategies: Provider selection algorithms
- Cost-based routing
- Capability-based routing
- Performance-based routing
- Availability-based routing
- Hybrid routing strategies
- Library: Effect for routing operation side effects
- Schema Validation: RouteSchema with strategy validation
Provider Group: Multi-provider management
- Fallback handling
- Parallel execution
- Result aggregation
- Error recovery
- Provider coordination
- Library: DiffSync for provider state synchronization
- Schema Validation: ProviderGroupSchema with collective rules

5.4 Implementation Roadmap

Foundation: Registry & Commands

May 29-30, 2025 🔲
Implement Container for dependency management
Create service registry with discovery
Build command pattern implementation
Add capability registry system
Implement provider factory

Provider Selection & Grouping

May 30-31, 2025 🔲
Implement provider capability matching
Create cost optimization strategies
Build priority-based selection
Implement provider group with fallback
Add parallel execution for providers

Routing Strategies & Example

May 31 - June 1, 2025 🔲
Implement adaptive routing strategies
Create performance tracking
Build provider health monitoring
Implement multi-provider routing example
Create provider selection CLI interface

6. Feature Slice 5: Workflow Execution

6.1 Feature Overview

Workflow Execution enables complex multi-step workflows with dependency management, parallel execution, and error handling. This feature:

Enables sophisticated process orchestration
Demonstrates quantum partitioning
Showcases reactive event mesh
Establishes workflow patterns

6.2 Implementation Status

🔄 Defining workflow primitives
🔄 Creating task execution protocols
🔲 Implementing workflow engine
🔲 Building dependency management
🔲 Designing parallel execution
🔲 Creating workflow monitoring
🔲 Building workflow execution example

6.3 Implementation Components

QuantumPartitioner: Parallel execution engine
- Task dependency resolution
- Parallel execution strategy
- Resource-aware scheduling
- Task partitioning
- Work distribution
- Library: TaskMap for dependency-based execution
- Schema Validation: TaskSchema with dependency rules
Workflow Engine: Process orchestration
- Workflow definition
- State tracking
- Error handling
- Event publication
- Resource management
- Library: Blinker for workflow event coordination
- Schema Validation: WorkflowSchema with execution rules
Dependency Manager: Task relationship handling
- Dependency graph creation
- Cycle detection
- Dependency resolution
- Constraint validation
- Dependency monitoring
- Library: TaskMap for DAG-based dependency resolution
- Schema Validation: DependencySchema with relationship rules
Execution Monitor: Performance tracking
- Execution metrics
- Bottleneck detection
- Resource monitoring
- Timeline visualization
- Historical tracking
- Library: Eventsourcing for execution history tracking
- Schema Validation: MonitorSchema with metrics validation

6.4 Implementation Roadmap

Foundation: Quantum Partitioning

June 1-2, 2025 🔲
Implement QuantumPartitioner with TaskMap
Create parallel execution strategies
Build dependency tracking system
Add task scheduling mechanisms
Implement result aggregation

Workflow Engine

June 2-3, 2025 🔲
Implement workflow engine with parallel execution
Create workflow state tracking
Build error handling and recovery
Add workflow event publication
Implement workflow monitoring

Workflow Definition & Example

June 3-4, 2025 🔲
Implement workflow definition DSL
Create visual workflow representation
Build workflow history tracking
Implement workflow execution example
Create workflow CLI interface

7. Feature Slice 6: Command CLI

7.1 Feature Overview

Command CLI provides a Textual-based rich terminal interface for interacting with Atlas. This feature:

Delivers user-friendly interface
Demonstrates command pattern
Showcases perspective shifting
Establishes UI patterns

7.2 Implementation Status

🔄 Defining command primitives
🔄 Creating CLI interface protocols
🔲 Implementing command execution
🔲 Building Textual UI components
🔲 Designing perspective-based views
🔲 Creating configuration management
🔲 Building command CLI example

7.3 Implementation Components

PerspectiveAware: Context-specific views
- Schema-based transformations
- View selection
- Data filtering
- Presentation rules
- View transitions
- Library: Marshmallow for schema-based transformations
- Schema Validation: ViewSchema with presentation rules
Command System: Command execution framework
- Command discovery
- Parameter validation
- Command execution
- Result formatting
- Error handling
- Library: Dependency Injector for command resolution
- Schema Validation: CommandSchema with parameter rules
CLI UI Components: Rich terminal interface
- Screen management
- Widget implementation
- Event handling
- Rendering pipeline
- User interaction
- Library: AspectLib for cross-cutting UI concerns
- Schema Validation: ComponentSchema with UI constraints
Configuration System: User settings management
- Configuration storage
- Schema validation
- Default handling
- Update notification
- Migration support
- Library: Marshmallow for config serialization and validation
- Schema Validation: ConfigSchema with setting rules

7.4 Implementation Roadmap

Foundation: Command & Perspective

June 4-5, 2025 🔲
Implement PerspectiveAware for context views
Create command pattern implementation
Build command schema with validation
Add command execution tracking
Implement command history

Textual UI Components

June 5-6, 2025 🔲
Implement Textual application with EventBus
Create conversation view with streaming
Build command bar implementation
Add screen management
Implement widget components

CLI Integration & Example

June 6-7, 2025 🔲
Implement configuration persistence
Create command discovery
Build help system and documentation
Implement command CLI example
Create comprehensive CLI user guide

8. Key Architectural Principles

Despite shifting to a feature-driven approach, we maintain these core architectural principles from the clean break design:

Protocol-First Design: All interfaces are defined as protocols before implementation
Type-Safe Foundations: Strong typing throughout with centralized type variable system
Schema Validation: All data structures validate with Marshmallow schemas
Reactive Event Mesh: Components communicate through reactive event subscription via Blinker
Temporal Awareness: State history and versioning maintained via Eventsourcing
Explicit Effect Tracking: Side effects are captured and controlled via Effect
Immutable State: Efficient immutable state transformations via Pyrsistent
Perspective Shifting: Different contexts have appropriate views of the same data via Marshmallow
Quantum Partitioning: Complex tasks are decomposed for parallel execution via TaskMap
State Synchronization: Efficient reconciliation of state changes via DiffSync
Aspect-Oriented Programming: Cross-cutting concerns handled via AspectLib
Dependency Management: Component wiring and lifecycle via Dependency Injector
Flat Abstraction Hierarchy: Core abstractions exist at the same conceptual level without artificial nesting
Composable Architecture: Higher-level components built from compositions of simpler patterns

9. Implementation Timeline

Phase 1: Streaming Chat & Agent Delegation

May 20-26, 2025 🚧
Implement streaming chat feature slice
Build agent delegation feature slice
Create examples demonstrating both features
Implement core services: event, buffer, state
Core components: EventBus, StateProjector

Phase 2: Knowledge Retrieval & Provider Routing

May 26 - June 1, 2025 🔄
Implement knowledge retrieval feature slice
Build multi-provider routing feature slice
Create examples demonstrating both features
Implement core services: registry, resources
Core components: TemporalStore, Container

Phase 3: Workflow & CLI

June 1-7, 2025 🔲
Implement workflow execution feature slice
Build command CLI feature slice
Create examples demonstrating both features
Implement core services: commands, perspective
Core components: QuantumPartitioner, PerspectiveAware

Phase 4: Integration & Polish

June 7-14, 2025 🔲
Implement system-level integration
Complete documentation
Add comprehensive examples
Final polish and cleanup
Full performance optimization

10. Key Benefits of Feature-Driven Approach

Functional Value Earlier: Users can see and test working features sooner
Reduced Implementation Risk: Early validation of architectural patterns
Better Prioritization: Resources focused on most important features first
Incremental Architecture Adoption: Clean break principles applied incrementally
Natural Integration Points: Features align with user expectations
Parallelization Opportunity: Multiple vertical slices can be developed concurrently
Easier Progress Tracking: Feature completion provides clear metrics

11. Schema Layer and Third-Party Integration

Each feature slice integrates specific third-party libraries and includes comprehensive schema validation through Marshmallow:

11.1 Feature-Library Integration Summary

Feature Slice	Primary Libraries	Key Capabilities
Streaming Chat	Blinker, Pyrsistent, Effect	Event communication, immutable state, side effect tracking
Agent Delegation	Eventsourcing, Blinker, DiffSync	Temporal state, messaging, synchronization
Knowledge Retrieval	Marshmallow, AspectLib, Dependency Injector	Schema transformation, cross-cutting concerns, service discovery
Multi-Provider Routing	Dependency Injector, Effect, DiffSync	Container management, provider effects, state sync
Workflow Execution	TaskMap, Blinker, Pyrsistent	Parallel execution, event coordination, immutable workflows
Command CLI	Marshmallow, Dependency Injector, AspectLib	Command validation, service resolution, cross-cutting extensions

11.2 Schema Design Approach

Marshmallow schemas provide unified validation, serialization, and documentation with:

Input/Output Validation: Type and structure validation
Data Transformation: Format conversion and perspective views
Documentation: Auto-generated API documentation
Version Management: Schema evolution and migration
Composition: Complex schemas through inheritance and nesting
Cross-Slice Integration: Consistent interoperability patterns

11.3 Library Integration Strategy by Feature Slice

Each vertical feature slice integrates the appropriate third-party libraries to deliver its specific functionality:

Streaming Chat Feature Libraries

Blinker Integration for EventBus:
- Implements reactive event communication patterns
- Uses Signal objects with weak references for subscribers
- Creates thread-safe event publication with locking strategies
- Implements middleware pipeline for event transformation
- Provides bounded event history for debugging
- Performance optimizations:
  - Partitioned signals for high-volume event types
  - Optimized event dispatch for frequently triggered events
  - Weak reference management to prevent memory leaks
Marshmallow Integration for Streaming Schemas:
- Creates StreamingResponseSchema for strict validation
- Implements TokenSchema hierarchy with polymorphic deserialization
- Provides ResponseMetadataSchema for tracking metrics
- Enables schema-based serialization for persistence
- Performance optimizations:
  - Schema instance caching for repeated validations
  - Partial serialization for streaming content
  - Lazy field resolution for complex objects
Pyrsistent Integration for Immutable State:
- Uses PRecord for immutable state representation
- Implements structural sharing for efficient updates
- Creates delta tracking for state changes
- Provides thread-safe immutable state handling
- Performance optimizations:
  - Focused record updates to minimize copying
  - Cached state transformations for frequent operations
  - Efficient structural sharing algorithms
Effect Integration for Streaming Side Effects:
- Tracks side effects in streaming operations
- Implements effect composition for complex operations
- Creates testable effect handlers for streaming behavior
- Provides effect monitoring and analysis tools
- Performance optimizations:
  - Batched effect processing for improved throughput
  - Selective effect tracking based on context
  - Optimized effect handlers for common patterns

Agent Delegation Feature Libraries

Eventsourcing Integration for TemporalStore:
- Implements event-sourced agent state
- Creates domain events for agent state transitions
- Provides snapshotting for performance optimization
- Implements versioned event repository
- Performance optimizations:
  - Strategic snapshot intervals for efficient reconstruction
  - Optimized event serialization for storage efficiency
  - Selective event loading for large event streams
Dependency Injector Integration for Agent Management:
- Creates container registry for different agent types
- Implements runtime dependency resolution for agents
- Provides lifecycle management for agent resources
- Creates factory patterns for dynamic agent creation
- Performance optimizations:
  - Singleton patterns for shared agent resources
  - Lazy initialization for resource-intensive agents
  - Optimized wire-up for complex dependency graphs
Marshmallow Integration for Agent Schemas:
- Implements AgentSchema hierarchy for different agent types
- Creates MessageSchema with validation rules
- Provides TaskSchema for agent tasks
- Enables schema inheritance for specialized agents
- Performance optimizations:
  - Field-level serialization control for large messages
  - Schema specialization with inheritance
  - Optimized validation paths for frequent operations
DiffSync Integration for Agent State Synchronization:
- Implements bidirectional state synchronization
- Creates conflict resolution strategies
- Provides incremental state updates
- Implements change tracking and reconciliation
- Performance optimizations:
  - Optimized diffing algorithms for large state
  - Efficient change representation
  - Selective synchronization based on change significance

Knowledge Retrieval Feature Libraries

Marshmallow Integration for Document Schemas:
- Implements complex DocumentSchema with nested structures
- Creates ChunkSchema with metadata tracking
- Provides EmbeddingSchema for vector representation
- Implements schema inheritance for document types
- Performance optimizations:
  - Partial loading for large documents
  - Cached schema transformations
  - Optimized validation for document batches
AspectLib Integration for Cross-Cutting Concerns:
- Implements logging aspects for retrieval operations
- Creates metrics collection across the retrieval pipeline
- Provides error handling aspects
- Implements caching aspects for performance
- Performance optimizations:
  - Selective aspect application based on context
  - Optimized aspect weaving for critical paths
  - Cached woven objects for frequent operations
Pyrsistent Integration for Immutable Documents:
- Implements immutable document representation
- Creates efficient document transformation pipeline
- Provides structural sharing for document parts
- Implements delta-based document updates
- Performance optimizations:
  - Optimized structure for document-specific patterns
  - Cache optimizations for document fragments
  - Memory-efficient representation for large documents
Dependency Injector Integration for Retrieval Services:
- Creates service registry for retrieval components
- Implements swappable retrieval strategy pattern
- Provides component lifecycle management
- Creates factory methods for specialized retrievers
- Performance optimizations:
  - Resource pooling for database connections
  - Optimized component initialization
  - Service discovery with capability matching

Multi-Provider Routing Feature Libraries

Dependency Injector Integration for Provider Registry:
- Implements provider container with capability discovery
- Creates factory patterns for provider instantiation
- Provides dependency resolution for provider requirements
- Implements provider lifecycle management
- Performance optimizations:
  - Lazy provider initialization
  - Optimized dependency resolution
  - Cached provider instances
Effect Integration for Provider Operations:
- Tracks provider side effects explicitly
- Implements effect isolation between providers
- Creates testable provider behavior
- Provides composition of provider effects
- Performance optimizations:
  - Batched effect handling for common operations
  - Optimized effect handlers for provider-specific patterns
  - Effect caching for expensive operations
Marshmallow Integration for Provider Schemas:
- Creates ProviderSchema with capability description
- Implements CapabilitySchema for feature detection
- Provides RoutingSchema for selection strategies
- Creates schema-based configuration validation
- Performance optimizations:
  - Cached schema instances for frequent validation
  - Optimized deserialization for provider responses
  - Schema specialization for different provider types
DiffSync Integration for Provider State:
- Implements provider state synchronization
- Creates change tracking for provider operations
- Provides conflict resolution for multi-provider operations
- Implements incremental state updates
- Performance optimizations:
  - Efficient change detection algorithms
  - Optimized reconciliation for provider-specific patterns
  - Selective synchronization based on criticality

Workflow Execution Feature Libraries

TaskMap Integration for QuantumPartitioner:
- Implements dependency-based parallel execution
- Creates DAG representation for task workflows
- Provides sophisticated dependency resolution
- Implements efficient task scheduling
- Performance optimizations:
  - Adaptive task granularity
  - Work stealing for load balancing
  - Optimized critical path execution
Pyrsistent Integration for Workflow State:
- Creates immutable workflow definition
- Implements structural sharing for workflow updates
- Provides incremental workflow execution state
- Creates efficient workflow transformations
- Performance optimizations:
  - Optimized representation for complex workflows
  - Cached workflow state transitions
  - Memory-efficient incremental updates
Blinker Integration for Workflow Events:
- Implements event-driven workflow execution
- Creates specialized workflow event types
- Provides task coordination through events
- Implements workflow lifecycle events
- Performance optimizations:
  - Optimized event routing for workflow phases
  - Selective notification for specific workflow states
  - Efficient event propagation patterns
Effect Integration for Workflow Side Effects:
- Tracks side effects in workflow execution
- Implements composable effect handlers
- Creates testable workflow behavior
- Provides monitoring of workflow effects
- Performance optimizations:
  - Batched effect processing for task groups
  - Parallelized effect handlers
  - Optimized effect execution strategies

Command CLI Feature Libraries

Marshmallow Integration for Command Schemas:
- Implements CommandSchema with parameter validation
- Creates ResultSchema for command output
- Provides schema-based help text generation
- Creates interactive documentation from schemas
- Performance optimizations:
  - Cached schema instances for frequent commands
  - Optimized validation for interactive use
  - Incremental schema parsing for large commands
Dependency Injector Integration for CLI Services:
- Creates service registry for CLI components
- Implements plugin architecture for commands
- Provides command dependency resolution
- Creates factory patterns for command instantiation
- Performance optimizations:
  - Lazy command initialization
  - On-demand service loading
  - Cached command instances
AspectLib Integration for Command Concerns:
- Implements logging aspects for all commands
- Creates permission checking aspects
- Provides timing aspects for performance tracking
- Implements retry aspects for resilience
- Performance optimizations:
  - Selective aspect application based on command
  - Optimized aspect composition for common patterns
  - Efficient aspect weaving for interactive use
Effect Integration for Command Side Effects:
- Tracks command execution effects
- Implements effect isolation between commands
- Creates mock effects for testing
- Provides effect monitoring for debugging
- Performance optimizations:
  - Optimized effect handling for interactive use
  - Effect caching for expensive operations
  - Selective effect tracking based on verbosity

NEXT STEPS

Our immediate focus is completing the Streaming Chat feature slice with Blinker integration for the EventBus and Marshmallow schema validation, followed by Agent Delegation with Eventsourcing for the TemporalStore. This will allow us to demonstrate the core capabilities of the system while establishing the architectural patterns and third-party library integration that will be used throughout the implementation.

12. Marshmallow Schema Implementation

The schema implementation provides a comprehensive validation, serialization, and documentation layer that runs through all feature slices. The Marshmallow library was chosen for its flexibility, extendability, and compatibility with Python’s type system.

12.1 Core Schema Architecture

The schema architecture follows these key design principles:

Inheritance Hierarchy: Schemas use a well-defined inheritance hierarchy to share common validation rules
Protocol Alignment: Each schema aligns with a corresponding protocol definition
Type Integration: Schemas integrate with Python’s typing system for IDE assistance
Version Management: All schemas include versioning capabilities for evolution
Composition Over Complexity: Complex schemas are built through composition of simpler ones

12.2 Schema Categories and Implementation

Category	Base Class	Description	Key Implementations
Core Schemas	`BaseSchema`	Foundation for all schemas	`VersionedSchema`, `PolymorphicSchema`, `RegistrableSchema`
Protocol Schemas	`ProtocolSchema`	Schema for protocol validation	`BufferProtocolSchema`, `EventBusProtocolSchema`, `StateContainerProtocolSchema`
Data Structure Schemas	`DataSchema`	Schema for data validation	`TokenSchema`, `EventSchema`, `StateSchema`, `MessageSchema`
Configuration Schemas	`ConfigSchema`	Schema for configuration validation	`BufferConfigSchema`, `EventBusConfigSchema`, `ProviderConfigSchema`
Meta Schemas	`MetaSchema`	Schema for metadata validation	`SchemaVersionSchema`, `SchemaRegistrySchema`, `SchemaDocumentationSchema`

12.3 Schema Implementation by Feature Slice

Each feature slice implements comprehensive Marshmallow schemas for validation and serialization:

Streaming Chat: StreamingResponseSchema, TokenSchema, EventSchema with timestamp validation and performance metrics
Agent Delegation: MessageSchema, AgentSchema, TaskSchema with correlation tracking and state management
Knowledge Retrieval: DocumentSchema, ChunkSchema, EmbeddingSchema with chunking strategy validation
Multi-Provider Routing: ProviderSchema, CapabilitySchema with feature flags and performance characteristics
Workflow Execution: WorkflowSchema, TaskSchema with dependency validation and retry strategies
Command CLI: CommandSchema, ParameterSchema with permission control and usage examples

See Implementation Guide for implementation details.

12.4 Schema Registry Implementation

The Schema Registry provides centralized schema discovery, validation, and version management with these key capabilities:

Schema Registration: Automatic discovery and registration of schemas
Class Mapping: Direct mapping between Python classes and their schemas
Version Migration: Automated migration between schema versions
Schema Discovery: Runtime schema lookup by name or class

See Implementation Guide for registry usage patterns.

12.5 Third-Party Library Integration Details

The schema implementation integrates with key third-party libraries to provide comprehensive functionality:

Library	Integration	Function
Marshmallow	Core Schema Validation	- Data validation - Serialization/deserialization - Schema composition - Field-level validation
Marshmallow-Dataclass	Type-to-Schema Conversion	- Convert Python dataclasses to schemas - Type-safe schema creation - IDE autocompletion support - Automatic dataclass generation
Pyrsistent	Immutable Data Structures	- Immutable schema data integration - Thread-safe state representations - Efficient structural sharing - Immutable type validation
Effect	Side Effect Management	- Tracked validation operations - Testable schema validation - Controlled serialization effects - Effect-managed transformation
Dependency Injector	Container Integration	- Schema discovery and registration - Runtime schema resolution - Validator dependency injection - Schema factory components
Eventsourcing	Schema Evolution	- Event-based schema tracking - Schema migration events - Versioned schema history - Temporal schema queries

12.6 Schema Files and Implementation

The implementation includes the following key schema files for each feature slice:

Feature Slice	Schema Files	Key Capabilities
Core Service	`atlas/core/schema/base.py` `atlas/core/schema/version.py` `atlas/core/schema/registry.py` `atlas/core/schema/factory.py` `atlas/core/schema/migration.py`	- Base schema classes - Version tracking - Schema registry - Factory utilities - Migration tools
Streaming Chat	`atlas/core/schema/buffer.py` `atlas/core/schema/event.py` `atlas/providers/schema/streaming.py`	- Buffer configuration validation - Event bus message validation - Streaming response validation
Agent Delegation	`atlas/agents/schema/agent.py` `atlas/agents/schema/message.py` `atlas/agents/schema/task.py`	- Agent configuration validation - Message format validation - Task definition validation
Knowledge Retrieval	`atlas/knowledge/schema/document.py` `atlas/knowledge/schema/chunk.py` `atlas/knowledge/schema/embedding.py`	- Document structure validation - Chunk format validation - Embedding vector validation
Multi-Provider Routing	`atlas/providers/schema/provider.py` `atlas/providers/schema/capability.py` `atlas/providers/schema/routing.py`	- Provider configuration validation - Capability definition validation - Routing rule validation
Workflow Execution	`atlas/orchestration/schema/workflow.py` `atlas/orchestration/schema/task.py` `atlas/orchestration/schema/dependency.py`	- Workflow structure validation - Task definition validation - Dependency constraint validation
Command CLI	`atlas/cli/schema/command.py` `atlas/cli/schema/parameter.py` `atlas/cli/schema/result.py`	- Command structure validation - Parameter definition validation - Result format validation

Archive

Archive

Possible Future

Archive

Archive

Architecture

Agents

Core

Graph

Knowledge

Providers

Tools

The Matrix

Inner Universe

Nerv

Components

Composites

Patterns

Primitives

Types

Atlas Feature-Driven Implementation Plan ​

Consolidated File Structure ​

Status Legend ​

Feature Priority Legend ​

Status Legend ​

Feature Priority Legend ​

1. Feature-Driven Vertical Slices ​

1.1 Feature Slice Diagram ​

1.2 Schema Layer and Third-Party Integration ​

1.3 Key Feature Slices ​

2. Feature Slice 1: Streaming Chat ​

2.1 Feature Overview ​

2.2 Implementation Status ​

2.3 Implementation Components ​

Core Type System Components ​

Implementation Components ​

2.4 Implementation Roadmap ​

3. Feature Slice 2: Agent Delegation ​

3.1 Feature Overview ​

3.2 Implementation Status ​

3.3 Implementation Components ​

Core Type System Components ​

Implementation Components ​

3.4 Implementation Roadmap ​

4. Feature Slice 3: Knowledge Retrieval ​

4.1 Feature Overview ​

4.2 Implementation Status ​

4.3 Implementation Components ​

Core Type System Components ​

Implementation Components ​

4.4 Implementation Roadmap ​

5. Feature Slice 4: Multi-Provider Routing ​

5.1 Feature Overview ​

5.2 Implementation Status ​

5.3 Implementation Components ​

5.4 Implementation Roadmap ​

6. Feature Slice 5: Workflow Execution ​

6.1 Feature Overview ​

6.2 Implementation Status ​

6.3 Implementation Components ​

6.4 Implementation Roadmap ​

7. Feature Slice 6: Command CLI ​

7.1 Feature Overview ​

7.2 Implementation Status ​

7.3 Implementation Components ​

7.4 Implementation Roadmap ​

8. Key Architectural Principles ​

9. Implementation Timeline ​

10. Key Benefits of Feature-Driven Approach ​

11. Schema Layer and Third-Party Integration ​

11.1 Feature-Library Integration Summary ​

11.2 Schema Design Approach ​

11.3 Library Integration Strategy by Feature Slice ​

Streaming Chat Feature Libraries ​

Agent Delegation Feature Libraries ​

Knowledge Retrieval Feature Libraries ​

Multi-Provider Routing Feature Libraries ​

Workflow Execution Feature Libraries ​

Command CLI Feature Libraries ​

12. Marshmallow Schema Implementation ​

Atlas Feature-Driven Implementation Plan

Consolidated File Structure

Status Legend

Feature Priority Legend

Status Legend

Feature Priority Legend

1. Feature-Driven Vertical Slices

1.1 Feature Slice Diagram

1.2 Schema Layer and Third-Party Integration

1.3 Key Feature Slices

2. Feature Slice 1: Streaming Chat

2.1 Feature Overview

2.2 Implementation Status

2.3 Implementation Components

Core Type System Components

Implementation Components

2.4 Implementation Roadmap

3. Feature Slice 2: Agent Delegation

3.1 Feature Overview

3.2 Implementation Status

3.3 Implementation Components

Core Type System Components

Implementation Components

3.4 Implementation Roadmap

4. Feature Slice 3: Knowledge Retrieval

4.1 Feature Overview

4.2 Implementation Status

4.3 Implementation Components

Core Type System Components

Implementation Components

4.4 Implementation Roadmap

5. Feature Slice 4: Multi-Provider Routing

5.1 Feature Overview

5.2 Implementation Status

5.3 Implementation Components

5.4 Implementation Roadmap

6. Feature Slice 5: Workflow Execution

6.1 Feature Overview

6.2 Implementation Status

6.3 Implementation Components

6.4 Implementation Roadmap

7. Feature Slice 6: Command CLI

7.1 Feature Overview

7.2 Implementation Status

7.3 Implementation Components

7.4 Implementation Roadmap

8. Key Architectural Principles

9. Implementation Timeline

10. Key Benefits of Feature-Driven Approach

11. Schema Layer and Third-Party Integration

11.1 Feature-Library Integration Summary

11.2 Schema Design Approach

11.3 Library Integration Strategy by Feature Slice

Streaming Chat Feature Libraries

Agent Delegation Feature Libraries

Knowledge Retrieval Feature Libraries

Multi-Provider Routing Feature Libraries

Workflow Execution Feature Libraries

Command CLI Feature Libraries

12. Marshmallow Schema Implementation

12.1 Core Schema Architecture

12.2 Schema Categories and Implementation

12.3 Schema Implementation by Feature Slice

12.4 Schema Registry Implementation

12.5 Third-Party Library Integration Details

12.6 Schema Files and Implementation