Plugin Architecture System Prompt

Context Recontextualization

You are working on the pipeline_ex system, an Elixir-based pipeline generator that needs a comprehensive plugin architecture to support DSPy integration and future extensibility.

Current System Architecture

• Monolithic design: All functionality is built into core modules
• Hard-coded extensions: New features require core code changes
• Static configuration: No runtime configuration extension
• Fixed integrations: All integrations are compile-time dependencies

Current Extension Points

• Step types: Hard-coded in executor and configuration
• Providers: Static provider selection logic
• Schemas: Fixed schema definitions
• Validation: Hard-coded validation rules

DSPy Integration Requirements

• Plugin-based DSPy integration - Load DSPy functionality as a plugin
• Dynamic component registration - Register steps, providers, schemas at runtime
• Dependency management - Handle plugin dependencies and conflicts
• Configuration extension - Allow plugins to extend configuration schemas
• Lifecycle management - Proper plugin initialization and cleanup

Task

Implement a comprehensive plugin architecture system that enables dynamic loading of functionality while maintaining system stability and backward compatibility.

Required Components

1. Plugin Manager (lib/pipeline/enhanced/plugin_manager.ex)

   • GenServer-based plugin lifecycle management
   • Plugin loading, initialization, and cleanup
   • Dependency resolution and conflict detection
   • Plugin metadata management and validation

2. Plugin Behaviour (lib/pipeline/enhanced/plugin_behaviour.ex)

   • Standardized plugin interface definition
   • Required callback functions specification
   • Plugin metadata structure definition
   • Lifecycle event handling patterns

3. Plugin Registry (lib/pipeline/enhanced/plugin_registry.ex)

   • Central registry for all loaded plugins
   • Plugin discovery and enumeration
   • Capability-based plugin querying
   • Plugin health monitoring

4. Plugin Loader (lib/pipeline/enhanced/plugin_loader.ex)

   • Dynamic plugin loading from files/modules
   • Plugin validation and security checks
   • Configuration parsing and validation
   • Error handling and recovery

5. Component Registration Integration (lib/pipeline/enhanced/component_integrator.ex)

   • Automatic registration of plugin components
   • Integration with step and provider registries
   • Schema extension registration
   • Cleanup and deregistration on plugin unload

Implementation Requirements

• Security: Plugin validation to prevent malicious code execution
• Stability: Isolated plugin execution to prevent system crashes
• Performance: Efficient plugin loading and component registration
• Flexibility: Support for various plugin types and capabilities
• Monitoring: Comprehensive logging and health checking

Plugin Interface Definition

All plugins must implement the behavior:

defmodule Pipeline.Enhanced.PluginBehaviour do
  @callback init(config :: map()) :: {:ok, state :: any()} | {:error, reason :: String.t()}
  @callback terminate(state :: any()) :: :ok
  @callback get_metadata(state :: any()) :: map()
  @callback get_step_types(state :: any()) :: [{step_type :: String.t(), module :: module()}]
  @callback get_providers(state :: any()) :: [{provider_name :: String.t(), module :: module(), capabilities :: [atom()]}]
  @callback get_schema_extensions(state :: any()) :: [{extension_name :: String.t(), schema :: map()}]
end

DSPy Plugin Example

The system must support DSPy integration as a plugin:

defmodule Pipeline.Plugins.DSPyPlugin do
  @behaviour Pipeline.Enhanced.PluginBehaviour
  
  def init(config) do
    case initialize_dspy_system(config) do
      {:ok, dspy_state} ->
        plugin_state = %{
          dspy_state: dspy_state,
          optimization_enabled: config["optimization_enabled"] || false,
          evaluation_mode: config["evaluation_mode"] || "bootstrap_few_shot"
        }
        {:ok, plugin_state}
      
      {:error, reason} ->
        {:error, reason}
    end
  end
  
  def get_step_types(plugin_state) do
    if plugin_state.optimization_enabled do
      [
        {"dspy_claude", Pipeline.DSPy.Steps.OptimizedClaudeStep},
        {"dspy_gemini", Pipeline.DSPy.Steps.OptimizedGeminiStep},
        {"dspy_chain", Pipeline.DSPy.Steps.ChainStep}
      ]
    else
      []
    end
  end
  
  def get_providers(plugin_state) do
    if plugin_state.optimization_enabled do
      [
        {"dspy_claude", Pipeline.DSPy.Providers.OptimizedClaudeProvider, [:dspy_optimization, :claude_compatible]},
        {"dspy_gemini", Pipeline.DSPy.Providers.OptimizedGeminiProvider, [:dspy_optimization, :gemini_compatible]}
      ]
    else
      []
    end
  end
  
  def get_schema_extensions(_plugin_state) do
    [
      {"dspy", Pipeline.DSPy.ConfigExtension.get_dspy_schema_extension()}
    ]
  end
end

Plugin Configuration

Plugins must be configurable via YAML:

# plugin_config.yaml
plugins:
  dspy_plugin:
    module: Pipeline.Plugins.DSPyPlugin
    enabled: true
    config:
      optimization_enabled: true
      evaluation_mode: "bootstrap_few_shot"
      training_data_path: "/data/training"
      cache_enabled: true
      optimization_frequency: "daily"
    dependencies:
      - "enhanced_schema_validator"
      - "json_yaml_bridge"

Plugin Loading Flow

The system must support this loading pattern:

# Load plugin from configuration
{:ok, plugin_config} = Pipeline.Enhanced.PluginLoader.load_config("plugin_config.yaml")

# Load and initialize plugin
{:ok, plugin_state} = Pipeline.Enhanced.PluginManager.load_plugin(
  "dspy_plugin",
  Pipeline.Plugins.DSPyPlugin,
  plugin_config["dspy_plugin"]["config"]
)

# Components are automatically registered
# - Step types registered in StepRegistry
# - Providers registered in ProviderRegistry  
# - Schema extensions registered in ConfigurationSystem

Component Registration Integration

Must automatically register plugin components:

defp register_plugin_components(plugin_name, module, plugin_state) do
  # Register step types
  step_types = apply(module, :get_step_types, [plugin_state])
  Enum.each(step_types, fn {step_type, step_module} ->
    Pipeline.Enhanced.StepRegistry.register_step(
      step_type, 
      step_module,
      metadata: %{plugin: plugin_name}
    )
  end)
  
  # Register providers
  providers = apply(module, :get_providers, [plugin_state])
  Enum.each(providers, fn {provider_name, provider_module, capabilities} ->
    Pipeline.Enhanced.ProviderRegistry.register_provider(
      provider_name,
      provider_module,
      capabilities
    )
  end)
  
  # Register schema extensions
  extensions = apply(module, :get_schema_extensions, [plugin_state])
  Enum.each(extensions, fn {extension_name, extension_schema} ->
    Pipeline.Enhanced.ConfigurationSystem.register_schema_extension(
      extension_name,
      extension_schema
    )
  end)
end

Error Handling and Recovery

Must provide comprehensive error handling:

# Plugin loading error handling
case Pipeline.Enhanced.PluginManager.load_plugin(name, module, config) do
  {:ok, plugin_state} ->
    Logger.info("Plugin #{name} loaded successfully")
    
  {:error, :validation_failed} ->
    Logger.error("Plugin #{name} failed validation")
    
  {:error, :dependency_missing} ->
    Logger.error("Plugin #{name} missing required dependencies")
    
  {:error, reason} ->
    Logger.error("Plugin #{name} failed to load: #{reason}")
end

Security Requirements

• Plugin validation - Verify plugin modules before loading
• Sandboxing - Isolate plugin execution where possible
• Permission checks - Validate plugin permissions and capabilities
• Code signing - Support for signed plugin verification

Performance Requirements

• Fast loading - Plugin loading should be < 100ms
• Minimal overhead - Plugin management should not impact execution
• Efficient registration - Component registration should be batch-optimized
• Memory management - Proper cleanup on plugin unload

Testing Requirements

• Test plugin loading and unloading scenarios
• Validate component registration and deregistration
• Test error handling and recovery
• Include security validation tests
• Add performance benchmarks

Integration Points

• Application startup - Load plugins during system initialization
• Configuration system - Support plugin configuration extensions
• Registry systems - Integrate with step and provider registries
• Schema system - Support plugin schema extensions

Monitoring and Observability

• Plugin health monitoring - Track plugin status and performance
• Component tracking - Monitor registered components per plugin
• Error reporting - Comprehensive error logging and reporting
• Metrics collection - Plugin usage and performance metrics

Implement this plugin architecture system as a complete, production-ready solution that provides the foundation for DSPy integration while maintaining system stability and security.