LLM Integration Architecture¶

This diagram provides a detailed view of the NeuroCognitive Architecture (NCA) LLM integration system.

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graph TB
    classDef main fill:#1a1a1a,stroke:#555,color:#fff
    classDef component fill:#242424,stroke:#555,color:#fff
    classDef subcomponent fill:#2b2b2b,stroke:#555,color:#fff
    classDef adapter fill:#203040,stroke:#555,color:#fff
    classDef model fill:#302030,stroke:#555,color:#fff
    classDef request fill:#203020,stroke:#555,color:#fff
    classDef provider fill:#302020,stroke:#555,color:#fff
    classDef external fill:#383838,stroke:#555,color:#fff

    subgraph LLMIntegration["LLM Integration System"]
        direction TB
        class LLMIntegration main

        subgraph CoreComponents["Core LLM Components"]
            direction TB
            class CoreComponents component

            subgraph Connectors["LLM Connectors"]
                direction TB
                class Connectors adapter
                APIConnector[API<br>Connector] --- LocalConnector[Local<br>Connector]
                WebsocketConnector[Websocket<br>Connector] --- StreamingConnector[Streaming<br>Connector]
                class APIConnector,LocalConnector,WebsocketConnector,StreamingConnector subcomponent
            end

            subgraph Providers["LLM Providers"]
                direction TB
                class Providers provider
                OpenAIProvider[OpenAI<br>Provider] --- AnthropicProvider[Anthropic<br>Provider]
                VertexAIProvider[VertexAI<br>Provider] --- HuggingFaceProvider[HuggingFace<br>Provider]
                OllamaProvider[Ollama<br>Provider] --- CustomProviders[Custom<br>Providers]
                class OpenAIProvider,AnthropicProvider,VertexAIProvider,HuggingFaceProvider,OllamaProvider,CustomProviders subcomponent
            end

            subgraph ModelManagement["Model Management"]
                direction TB
                class ModelManagement model
                ModelRegistry[Model<br>Registry] --- ModelVersion[Model<br>Versioning]
                ModelSelection[Model<br>Selection] --- ModelCaching[Model<br>Caching]
                FallbackModels[Fallback<br>Models] --- ModelLoadBalancing[Load<br>Balancing]
                class ModelRegistry,ModelVersion,ModelSelection,ModelCaching,FallbackModels,ModelLoadBalancing subcomponent
            end

            subgraph EmbeddingModels["Embedding Models"]
                direction TB
                class EmbeddingModels model
                TextEmbeddings[Text<br>Embeddings] --- ChunkEmbeddings[Chunk<br>Embeddings]
                QueryEmbeddings[Query<br>Embeddings] --- DocumentEmbeddings[Document<br>Embeddings]
                EmbeddingCaching[Embedding<br>Caching] --- EmbeddingOptimization[Embedding<br>Optimization]
                class TextEmbeddings,ChunkEmbeddings,QueryEmbeddings,DocumentEmbeddings,EmbeddingCaching,EmbeddingOptimization subcomponent
            end
        end

        subgraph RequestProcessing["Request Processing"]
            direction TB
            class RequestProcessing component

            subgraph RequestFormation["Request Formation"]
                direction TB
                class RequestFormation request
                PromptStructuring[Prompt<br>Structuring] --- ContextInjection[Context<br>Injection]
                ParameterConfig[Parameter<br>Configuration] --- RequestValidation[Request<br>Validation]
                class PromptStructuring,ContextInjection,ParameterConfig,RequestValidation subcomponent
            end

            subgraph ResponseHandling["Response Handling"]
                direction TB
                class ResponseHandling request
                ResponseParsing[Response<br>Parsing] --- ResponseValidation[Response<br>Validation]
                StreamProcessing[Stream<br>Processing] --- ErrorHandling[Error<br>Handling]
                class ResponseParsing,ResponseValidation,StreamProcessing,ErrorHandling subcomponent
            end

            subgraph RequestOptimization["Request Optimization"]
                direction TB
                class RequestOptimization request
                TokenOptimization[Token<br>Optimization] --- CostOptimization[Cost<br>Optimization]
                LatencyOptimization[Latency<br>Optimization] --- QualityOptimization[Quality<br>Optimization]
                class TokenOptimization,CostOptimization,LatencyOptimization,QualityOptimization subcomponent
            end
        end

        subgraph IntegrationSupport["Integration Support"]
            direction TB
            class IntegrationSupport component

            subgraph Telemetry["LLM Telemetry"]
                direction TB
                class Telemetry adapter
                UsageTracking[Usage<br>Tracking] --- CostTracking[Cost<br>Tracking]
                LatencyMonitoring[Latency<br>Monitoring] --- QualityMonitoring[Quality<br>Monitoring]
                class UsageTracking,CostTracking,LatencyMonitoring,QualityMonitoring subcomponent
            end

            subgraph Security["LLM Security"]
                direction TB
                class Security adapter
                CredentialManagement[Credential<br>Management] --- PromptSecurity[Prompt<br>Security]
                OutputFiltering[Output<br>Filtering] --- DataPrivacy[Data<br>Privacy]
                class CredentialManagement,PromptSecurity,OutputFiltering,DataPrivacy subcomponent
            end

            subgraph Testing["LLM Testing"]
                direction TB
                class Testing adapter
                ModelEvaluation[Model<br>Evaluation] --- OutputValidation[Output<br>Validation]
                RegressionTesting[Regression<br>Testing] --- PromptTesting[Prompt<br>Testing]
                class ModelEvaluation,OutputValidation,RegressionTesting,PromptTesting subcomponent
            end
        end
    end

    %% External connections
    IntegrationManager[Integration<br>Manager] --> Connectors
    IntegrationManager --> Providers
    IntegrationManager --> ModelManagement

    MemorySystem[Memory<br>System] --> EmbeddingModels
    ContextManager[Context<br>Manager] --> RequestFormation
    TemplateManager[Template<br>Manager] --> RequestFormation

    %% Internal connections
    Connectors --> Providers
    Providers --> ModelManagement
    ModelManagement --> RequestProcessing
    EmbeddingModels --> RequestOptimization

    RequestFormation --> Connectors
    ResponseHandling --> MemorySystem
    RequestOptimization --> RequestFormation

    Telemetry --> ModelManagement
    Security --> RequestFormation
    Testing --> ModelManagement

    %% External provider connections
    OpenAIProvider --> OpenAIAPI[OpenAI<br>API]
    AnthropicProvider --> AnthropicAPI[Anthropic<br>API]
    VertexAIProvider --> VertexAIAPI[VertexAI<br>API]
    HuggingFaceProvider --> HuggingFaceAPI[HuggingFace<br>API]
    OllamaProvider --> OllamaAPI[Ollama<br>Local]

    %% Node styling
    class IntegrationManager,ContextManager,TemplateManager,MemorySystem,OpenAIAPI,AnthropicAPI,VertexAIAPI,HuggingFaceAPI,OllamaAPI external

LLM Integration Architecture Components¶

The NCA LLM integration system provides a framework for connecting the cognitive architecture with various language model providers. It consists of the following key components:

Core LLM Components¶

LLM Connectors:
API Connector: Connects to LLMs via REST APIs
Local Connector: Connects to locally hosted LLMs
Websocket Connector: Connects to LLMs via websocket interfaces
Streaming Connector: Handles streaming responses from LLMs
LLM Providers:
OpenAI Provider: Interface for OpenAI models
Anthropic Provider: Interface for Anthropic models
VertexAI Provider: Interface for Google's VertexAI models
HuggingFace Provider: Interface for HuggingFace models
Ollama Provider: Interface for local Ollama models
Custom Providers: Framework for custom LLM interfaces
Model Management:
Model Registry: Central registry of available models
Model Versioning: Manages model versions
Model Selection: Selects appropriate model based on requirements
Model Caching: Caches model results for efficiency
Fallback Models: Provides fallback options when primary models fail
Load Balancing: Balances load across models
Embedding Models:
Text Embeddings: General text embedding capabilities
Chunk Embeddings: Embeddings for text chunks
Query Embeddings: Specialized embeddings for queries
Document Embeddings: Specialized embeddings for documents
Embedding Caching: Caches embeddings for efficiency
Embedding Optimization: Optimizes embedding generation

Request Processing¶

Request Formation:
Prompt Structuring: Formats prompts for optimal LLM interaction
Context Injection: Injects relevant context into prompts
Parameter Configuration: Configures request parameters
Request Validation: Validates requests before sending
Response Handling:
Response Parsing: Parses LLM responses
Response Validation: Validates responses for correctness
Stream Processing: Processes streaming responses
Error Handling: Handles errors in LLM responses
Request Optimization:
Token Optimization: Optimizes token usage
Cost Optimization: Optimizes for cost efficiency
Latency Optimization: Optimizes for low latency
Quality Optimization: Optimizes for response quality

Integration Support¶

LLM Telemetry:
Usage Tracking: Tracks LLM usage metrics
Cost Tracking: Tracks LLM costs
Latency Monitoring: Monitors response latency
Quality Monitoring: Monitors response quality
LLM Security:
Credential Management: Manages LLM API credentials
Prompt Security: Ensures prompt security
Output Filtering: Filters sensitive information from outputs
Data Privacy: Ensures data privacy in LLM interactions
LLM Testing:
Model Evaluation: Evaluates model performance
Output Validation: Validates model outputs
Regression Testing: Tests for regressions
Prompt Testing: Tests prompt effectiveness

External Connections¶

The LLM integration system connects with: - Integration Manager: Coordinates LLM integrations - Memory System: Provides embeddings and stores LLM responses - Context Manager: Provides context for LLM requests - Template Manager: Provides templates for LLM requests

The LLM integration system also connects to external LLM provider APIs: - OpenAI API: For OpenAI models - Anthropic API: For Anthropic models - VertexAI API: For Google's VertexAI models - HuggingFace API: For HuggingFace models - Ollama Local: For local Ollama models

The LLM integration system is designed to provide a unified, robust interface to various language models, with support for fallbacks, telemetry, security, and testing.