Architecture Overview

This document describes the high-level architecture of Insight Ingenious, an enterprise-grade Python library designed for rapid deployment of AI agent CHAT_INTERFACE[๐Ÿ’ฌ IChatService Interface]PIs with tight Microsoft Azure integrations and comprehensive debugging capabilities.

System Architecture

Insight Ingenious is architected as a production-ready library with enterprise-grade features including seamless Azure service integrations, robust debugging tools, and extensive customization capabilities. The system consists of the following main components:

graph TB
    subgraph "Client Layer"
        UI[Web UI<br/>Chainlit Interface]
        API_CLIENT[API Clients<br/>External Applications]
    end

    subgraph "API Gateway"
        API[FastAPI<br/>REST Endpoints]
        AUTH[Authentication<br/>& Authorization]
    end

    subgraph "Core Engine"
        AGENT_SERVICE[Agent Service<br/>Conversation Manager]
        PATTERN_SERVICE[Pattern Service<br/>Conversation Orchestrator]
        LLM_SERVICE[LLM Service<br/>Azure OpenAI Integration]
    end

    subgraph "Extension Layer"
        CUSTOM_AGENTS[Custom Agents<br/>Domain Specialists]
        PATTERNS[Conversation Patterns<br/>Workflow Templates]
        TOOLS[Custom Tools<br/>External Integrations]
    end

    subgraph "Storage Layer"
        CONFIG[Configuration<br/>YAML Files]
        HISTORY[Chat History<br/>SQLite Database]
        FILES[File Storage<br/>Documents & Assets]
    end

    subgraph "External Services"
        AZURE[Azure OpenAI<br/>GPT Models]
        EXTERNAL_API[External APIs<br/>Data Sources]
    end

    UI --> API
    API_CLIENT --> API
    API --> AUTH
    AUTH --> AGENT_SERVICE
    AGENT_SERVICE --> PATTERN_SERVICE
    AGENT_SERVICE --> LLM_SERVICE
    PATTERN_SERVICE --> PATTERNS
    AGENT_SERVICE --> CUSTOM_AGENTS
    CUSTOM_AGENTS --> TOOLS
    LLM_SERVICE --> AZURE
    TOOLS --> EXTERNAL_API
    AGENT_SERVICE --> HISTORY
    PATTERN_SERVICE --> CONFIG
    AGENT_SERVICE --> FILES

    classDef clientLayer fill:#e1f5fe
    classDef apiLayer fill:#f3e5f5
    classDef coreLayer fill:#e8f5e8
    classDef extensionLayer fill:#fff3e0
    classDef storageLayer fill:#fce4ec
    classDef externalLayer fill:#f1f8e9

    class UI,API_CLIENT clientLayer
    class API,AUTH apiLayer
    class AGENT_SERVICE,PATTERN_SERVICE,LLM_SERVICE coreLayer
    class CUSTOM_AGENTS,PATTERNS,TOOLS extensionLayer
    class CONFIG,HISTORY,FILES storageLayer
    class AZURE,EXTERNAL_API externalLayer

Detailed Component Architecture

Multi-Agent Framework

The heart of Insight Ingenious is its multi-agent framework, which enables sophisticated AI conversations:

graph LR
    subgraph "Agent Service"
        MANAGER[Conversation Manager]
        COORDINATOR[Agent Coordinator]
        STATE[State Manager]
    end

    subgraph "Agent Types"
        CLASSIFICATION_AGENT[Classification Agent]
        KNOWLEDGE_AGENT[Knowledge Base Agent]
        SQL_AGENT[SQL Manipulation Agent]
        CUSTOM[Custom Extension Agents]
    end

    subgraph "Conversation Flows"
        CLASSIFICATION[Classification Flow]
        KNOWLEDGE[Knowledge Base Flow]
        SQL[SQL Manipulation Flow]
        CUSTOM_FLOW[Custom Extension Flows]
    end

    MANAGER --> COORDINATOR
    COORDINATOR --> STATE
    COORDINATOR --> CLASSIFICATION_AGENT
    COORDINATOR --> KNOWLEDGE_AGENT
    COORDINATOR --> SQL_AGENT
    COORDINATOR --> CUSTOM

    MANAGER --> CLASSIFICATION
    MANAGER --> KNOWLEDGE
    MANAGER --> SQL
    MANAGER --> CUSTOM_FLOW

    classDef service fill:#e3f2fd
    classDef agents fill:#f1f8e9
    classDef patterns fill:#fff8e1

    class MANAGER,COORDINATOR,STATE service
    class CLASSIFICATION_AGENT,KNOWLEDGE_AGENT,SQL_AGENT,CUSTOM agents
    class CLASSIFICATION,KNOWLEDGE,SQL,CUSTOM_FLOW patterns

API Layer Architecture

The API layer provides secure, scalable access to the system:

sequenceDiagram
    participant Client
    participant FastAPI
    participant Auth
    participant AgentService
    participant LLM
    participant Storage

    Client->>FastAPI: POST /api/chat
    FastAPI->>Auth: Check Authentication
    Auth-->>FastAPI: โœ… Authorized
    FastAPI->>AgentService: Process Request
    AgentService->>Storage: Load Chat History
    Storage-->>AgentService: Previous Context
    AgentService->>LLM: Generate Response
    LLM-->>AgentService: AI Response
    AgentService->>Storage: Save Response
    AgentService-->>FastAPI: Formatted Response
    FastAPI-->>Client: JSON Response

Web UI Integration

The Chainlit integration provides an intuitive user experience:

graph TD
    subgraph "๐Ÿ–ฅ๏ธ Frontend"
        CHAINLIT[๐ŸŽจ Chainlit UI]
        COMPONENTS[๐Ÿงฉ UI Components]
        CHAT[๐Ÿ’ฌ Chat Interface]
    end

    subgraph "๐Ÿ”„ WebSocket Layer"
        WS[๐ŸŒ WebSocket Handler]
        SESSION[๐Ÿ“‹ Session Manager]
    end

    subgraph "๐Ÿค– Backend Services"
        CHAT_SERVICE[๐Ÿ’ฌ Chat Service]
        FILE_SERVICE[๐Ÿ“ File Service]
        AUTH_SERVICE[๐Ÿ” Auth Service]
    end

    CHAINLIT --> COMPONENTS
    COMPONENTS --> CHAT
    CHAT --> WS
    WS --> SESSION
    SESSION --> CHAT_SERVICE
    SESSION --> FILE_SERVICE
    SESSION --> AUTH_SERVICE

    classDef frontend fill:#e8eaf6
    classDef websocket fill:#f3e5f5
    classDef backend fill:#e8f5e8

    class CHAINLIT,COMPONENTS,CHAT frontend
    class WS,SESSION websocket
    class CHAT_SERVICE,FILE_SERVICE,AUTH_SERVICE backend

Storage Architecture

The storage layer provides flexible, cloud-aware persistence and configuration management:

graph TB
    subgraph "โš™๏ธ Configuration"
        CONFIG_YML[๐Ÿ“„ config.yml<br/>Project Settings]
        PROFILES_YML[๐Ÿ” profiles.yml<br/>API Keys & Secrets]
        ENV_VARS[๐ŸŒ Environment Variables<br/>Runtime Configuration]
    end

    subgraph "๐Ÿ“š Chat Storage"
        HISTORY_SQLITE[๐Ÿ’ฌ Chat History<br/>SQLite Database]
        HISTORY_AZURE[๐Ÿ’ฌ Chat History<br/>Azure SQL Database]
        SESSIONS[๐Ÿ‘ค User Sessions<br/>In-Memory Storage]
        MEMORY_MGR[๐Ÿง  Memory Manager<br/>Conversation Context]
    end

    subgraph "๐Ÿ“ File Storage Abstraction"
        STORAGE_INTERFACE[๐Ÿ”Œ IFileStorage Interface]
        LOCAL_STORAGE[๐Ÿ’พ Local Storage<br/>Development & Testing]
        AZURE_BLOB[โ˜๏ธ Azure Blob Storage<br/>Production & Scale]
    end

    subgraph "๐Ÿ“‹ Storage Categories"
        PROMPTS[๏ฟฝ Prompt Templates<br/>Revision Management]
        DATA_FILES[๐Ÿ“Š Data Files<br/>Analysis Results]
        UPLOADS[โฌ†๏ธ File Uploads<br/>User Content]
        MEMORY_FILES[๐Ÿง  Memory Context<br/>Thread-Specific Data]
    end

    subgraph "๐Ÿ”„ Data Operations"
        READ[๐Ÿ“– Read Operations<br/>Async/Sync Support]
        WRITE[โœ๏ธ Write Operations<br/>Cloud Persistence]
        DELETE[๐Ÿ—‘๏ธ Delete Operations<br/>Cleanup Management]
        LIST[๐Ÿ“‹ List Operations<br/>Directory Browsing]
        CACHE[โšก Caching Layer<br/>Performance Optimization]
    end

    CONFIG_YML --> STORAGE_INTERFACE
    PROFILES_YML --> STORAGE_INTERFACE
    ENV_VARS --> STORAGE_INTERFACE

    STORAGE_INTERFACE --> LOCAL_STORAGE
    STORAGE_INTERFACE --> AZURE_BLOB

    LOCAL_STORAGE --> PROMPTS
    LOCAL_STORAGE --> DATA_FILES
    LOCAL_STORAGE --> UPLOADS
    LOCAL_STORAGE --> MEMORY_FILES

    AZURE_BLOB --> PROMPTS
    AZURE_BLOB --> DATA_FILES
    AZURE_BLOB --> UPLOADS
    AZURE_BLOB --> MEMORY_FILES

    MEMORY_MGR --> STORAGE_INTERFACE
    HISTORY_SQLITE --> READ
    HISTORY_AZURE --> READ
    SESSIONS --> READ
    PROMPTS --> READ
    DATA_FILES --> READ
    UPLOADS --> READ
    MEMORY_FILES --> READ

    HISTORY_SQLITE --> WRITE
    HISTORY_AZURE --> WRITE
    SESSIONS --> WRITE
    PROMPTS --> WRITE
    DATA_FILES --> WRITE
    UPLOADS --> WRITE
    MEMORY_FILES --> WRITE

    READ --> CACHE
    WRITE --> CACHE
    DELETE --> CACHE
    LIST --> CACHE

    classDef config fill:#fff3e0
    classDef chat fill:#e8f5e8
    classDef storage fill:#e3f2fd
    classDef categories fill:#f3e5f5
    classDef operations fill:#e1f5fe

    class CONFIG_YML,PROFILES_YML,ENV_VARS config
    class HISTORY_SQLITE,HISTORY_AZURE,SESSIONS,MEMORY_MGR chat
    class STORAGE_INTERFACE,LOCAL_STORAGE,AZURE_BLOB storage
    class PROMPTS,DATA_FILES,UPLOADS,MEMORY_FILES categories
    class READ,WRITE,DELETE,LIST,CACHE operations

Storage Features

Multi-Backend Support:

  • Local Storage: Fast development and testing with filesystem access
  • Azure Blob Storage: Production-ready cloud storage with enterprise features
  • Transparent Switching: Change backends via configuration without code changes

Memory Management:

  • Thread-Specific Memory: Isolated conversation context per user/thread
  • Automatic Truncation: Maintain memory within configurable word limits
  • Cloud Persistence: Memory survives application restarts and scales across instances
  • Async Operations: Non-blocking memory operations for better performance

File Storage Categories:

  • Prompts (revisions container): Template versioning and prompt management
  • Data Files (data container): Analysis results, functional test outputs
  • Memory Context: Conversation state and context files
  • Uploads: User-submitted files and documents

Authentication Methods:

  • Connection String: Simple development setup with full connection details
  • Managed Identity: Production Azure authentication without credential management
  • Service Principal: Application-specific authentication with client secrets
  • Default Credential: Automatic Azure credential discovery

Data Flow Architecture

Request Processing Flow

flowchart TD
    START([๐Ÿš€ User Request]) --> INPUT_VALIDATION{๐Ÿ“‹ Validate Input}
    INPUT_VALIDATION -->|โœ… Valid| LOAD_CONTEXT[๐Ÿ“š Load Context]
    INPUT_VALIDATION -->|โŒ Invalid| ERROR_RESPONSE[โŒ Error Response]

    LOAD_CONTEXT --> SELECT_WORKFLOW{๐ŸŽฏ Select Workflow}
    SELECT_WORKFLOW --> CLASSIFICATION_WORKFLOW[๐Ÿ” Classification Agent]
    SELECT_WORKFLOW --> EDUCATION_WORKFLOW[๐ŸŽ“ Education Expert]
    SELECT_WORKFLOW --> KNOWLEDGE_WORKFLOW[๐Ÿ” Knowledge Base Agent]
    SELECT_WORKFLOW --> SQL_WORKFLOW[๐Ÿ—„๏ธ SQL Manipulation Agent]

    CLASSIFICATION_WORKFLOW --> AGENT_COORDINATION[๐Ÿ‘ฅ Agent Coordination]
    EDUCATION_WORKFLOW --> AGENT_COORDINATION
    KNOWLEDGE_WORKFLOW --> AGENT_COORDINATION
    SQL_WORKFLOW --> AGENT_COORDINATION

    AGENT_COORDINATION --> LLM_PROCESSING[๐Ÿง  LLM Processing]
    LLM_PROCESSING --> RESPONSE_FORMATTING[๐Ÿ“ Format Response]
    RESPONSE_FORMATTING --> SAVE_HISTORY[๐Ÿ’พ Save to History]
    SAVE_HISTORY --> SEND_RESPONSE[๐Ÿ“ค Send Response]

    ERROR_RESPONSE --> END([๐Ÿ End])
    SEND_RESPONSE --> END

    classDef startEnd fill:#f8bbd9
    classDef process fill:#b3e5fc
    classDef decision fill:#fff9c4
    classDef workflow fill:#c8e6c9
    classDef error fill:#ffcdd2

    class START,END startEnd
    class LOAD_CONTEXT,AGENT_COORDINATION,LLM_PROCESSING,RESPONSE_FORMATTING,SAVE_HISTORY,SEND_RESPONSE process
    class INPUT_VALIDATION,SELECT_WORKFLOW decision
    class CLASSIFICATION_WORKFLOW,EDUCATION_WORKFLOW,KNOWLEDGE_WORKFLOW,SQL_WORKFLOW workflow
    class ERROR_RESPONSE error

Multi-Agent Conversation Flow

sequenceDiagram
    participant User
    participant API
    participant Manager
    participant Agent1 as ๐Ÿ” Classification Agent
    participant Agent2 as ๐Ÿ” Knowledge Agent
    participant Agent3 as ๐Ÿ—„๏ธ SQL Agent
    participant LLM as ๐Ÿง  Azure OpenAI

    User->>API: "Help me understand database design"
    API->>Manager: Route to classification-agent workflow

    Note over Manager: Initialize conversation pattern
    Manager->>Agent1: Classify user intent
    Agent1->>LLM: Request intent analysis
    LLM-->>Agent1: Intent: Database query
    Agent1-->>Manager: Route to appropriate agent

    opt If knowledge search needed
        Manager->>Agent2: Search knowledge base
        Agent2->>LLM: Knowledge retrieval request
        LLM-->>Agent2: Additional resources
        Agent2-->>Manager: Supporting materials
    end

    opt If SQL processing needed
        Manager->>Agent3: Execute SQL query
        Agent3->>LLM: Generate SQL statement
        LLM-->>Agent3: Query results
        Agent3-->>Manager: Processed data
    end

    Manager-->>API: Complete response
    API-->>User: Comprehensive educational response

Extension Points & Customization

Extension Architecture

graph TB
    subgraph "๐Ÿญ Core Framework"
        CORE_API[๐Ÿ”ง Core API]
        CORE_FLOWS[๐Ÿ‘ค Base Conversation Flows]
        CORE_PATTERNS[๐Ÿ“‹ Base Patterns]
    end

    subgraph "๐ŸŽฏ Extension Interface"
        FLOW_INTERFACE[๐Ÿค– IConversationFlow Interface]
        PATTERN_INTERFACE[๐Ÿ”„ IConversationPattern Interface]
        CHAT_INTERFACE[๏ฟฝ IChatService Interface]
    end

    subgraph "๐Ÿ”Œ Custom Extensions"
        CUSTOM_FLOW[๐Ÿ‘ฅ Custom Flow<br/>Domain Expert]
        CUSTOM_PATTERN[๐ŸŽญ Custom Pattern<br/>Workflow Logic]
        CUSTOM_TOOLS[โš™๏ธ Custom Tools<br/>External Integration]
    end

    subgraph "๐Ÿ“ฆ Extension Registry"
        NAMESPACE_LOADER[๐Ÿ“‹ Namespace Utils]
        DYNAMIC_LOADER[โšก Dynamic Loader]
        CONFIG_VALIDATOR[โœ… Config Validation]
    end

    CORE_API --> FLOW_INTERFACE
    CORE_FLOWS --> FLOW_INTERFACE
    CORE_PATTERNS --> PATTERN_INTERFACE

    FLOW_INTERFACE --> CUSTOM_FLOW
    PATTERN_INTERFACE --> CUSTOM_PATTERN
    CHAT_INTERFACE --> CUSTOM_TOOLS

    CUSTOM_FLOW --> NAMESPACE_LOADER
    CUSTOM_PATTERN --> NAMESPACE_LOADER
    CUSTOM_TOOLS --> NAMESPACE_LOADER

    NAMESPACE_LOADER --> DYNAMIC_LOADER
    NAMESPACE_LOADER --> CONFIG_VALIDATOR

    classDef core fill:#e3f2fd
    classDef interface fill:#f1f8e9
    classDef custom fill:#fff3e0
    classDef registry fill:#fce4ec

    class CORE_API,CORE_FLOWS,CORE_PATTERNS core
    class FLOW_INTERFACE,PATTERN_INTERFACE,CHAT_INTERFACE interface
    class CUSTOM_FLOW,CUSTOM_PATTERN,CUSTOM_TOOLS custom
    class NAMESPACE_LOADER,DYNAMIC_LOADER,CONFIG_VALIDATOR registry

Key Classes and Interfaces

Core Agent Framework

classDiagram
    class IConversationPattern {
        <<interface>>
        +execute(context: ConversationContext)
        +validate(input: Any)
        +get_pattern_type()
    }

    class IConversationFlow {
        <<interface>>
        +start_conversation(query: str)
        +process_step(step: ConversationStep)
        +finalize_conversation()
    }

    class IChatService {
        <<interface>>
        +get_chat_response(request: ChatRequest)
        +process_message(message: str)
    }

    class AgentMarkdownDefinition {
        +title: str
        +description: str
        +system_prompt: str
        +tasks: List[str]
    }

    class CustomExtensionFlow {
        +custom_domain_logic()
        +extend_functionality()
        +implement_patterns()
    }

    class KnowledgeBaseAgentFlow {
        +search_knowledge()
        +retrieve_information()
        +format_results()
    }

    class SqlManipulationAgentFlow {
        +parse_nl_query()
        +generate_sql()
        +execute_query()
        +format_results()
    }

    class MultiAgentChatService {
        +conversation_flows: Dict[str, IConversationFlow]
        +patterns: Dict[str, IConversationPattern]
        +orchestrate_conversation()
        +manage_state()
    }

    class ConversationPattern {
        +execute_in_sequence()
        +handle_dependencies()
    }

    class ClassificationAgentFlow {
        +classify_intent()
        +route_to_agent()
        +handle_routing()
    }
    IConversationFlow <|.. ClassificationAgentFlow
    IConversationFlow <|.. CustomExtensionFlow
    IConversationFlow <|.. KnowledgeBaseAgentFlow
    IConversationFlow <|.. SqlManipulationAgentFlow
    IConversationPattern <|.. ConversationPattern
    IChatService <|.. MultiAgentChatService
    MultiAgentChatService --> IConversationFlow
    MultiAgentChatService --> IConversationPattern
    MultiAgentChatService --> AgentMarkdownDefinition

Configuration Architecture

Configuration Management

graph TB
    subgraph "๐Ÿ“ Configuration Sources"
        CONFIG_FILE[๐Ÿ“„ config.yml<br/>Project Configuration]
        PROFILES_FILE[๐Ÿ” profiles.yml<br/>Environment Secrets]
        ENV_VARS[๐ŸŒ Environment Variables]
        CLI_ARGS[โŒจ๏ธ Command Line Args]
    end

    subgraph "๐Ÿ”„ Configuration Processing"
        LOADER[๐Ÿ“– Configuration Loader]
        VALIDATOR[โœ… Schema Validator]
        MERGER[๐Ÿ”€ Configuration Merger]
    end

    subgraph "๐Ÿ’พ Runtime Configuration"
        APP_CONFIG[โš™๏ธ Application Config]
        AGENT_CONFIG[๐Ÿค– Agent Configurations]
        SERVICE_CONFIG[๐Ÿ”ง Service Settings]
    end

    CONFIG_FILE --> LOADER
    PROFILES_FILE --> LOADER
    ENV_VARS --> LOADER
    CLI_ARGS --> LOADER

    LOADER --> VALIDATOR
    VALIDATOR --> MERGER
    MERGER --> APP_CONFIG
    MERGER --> AGENT_CONFIG
    MERGER --> SERVICE_CONFIG

    classDef source fill:#e8f5e8
    classDef process fill:#fff3e0
    classDef runtime fill:#e3f2fd

    class CONFIG_FILE,PROFILES_FILE,ENV_VARS,CLI_ARGS source
    class LOADER,VALIDATOR,MERGER process
    class APP_CONFIG,AGENT_CONFIG,SERVICE_CONFIG runtime

Deployment Architecture

Deployment Options

graph TB
    subgraph "๐Ÿ–ฅ๏ธ Local Development"
        LOCAL_API[๐Ÿ”ง FastAPI Dev Server]
        LOCAL_UI[๐ŸŽจ Chainlit Dev UI]
        LOCAL_DB[๐Ÿ’พ SQLite Database]
    end

    subgraph "๐Ÿณ Docker Deployment"
        DOCKER_API[๐Ÿ“ฆ API Container]
        DOCKER_UI[๐Ÿ“ฆ UI Container]
        DOCKER_DB[๐Ÿ“ฆ Database Container]
        DOCKER_COMPOSE[๐Ÿ”ง Docker Compose]
    end

    subgraph "โ˜๏ธ Cloud Deployment"
        CLOUD_API[๐ŸŒ API Service]
        CLOUD_UI[๐ŸŽจ Web App]
        CLOUD_DB[๐Ÿ’พ Managed Database]
        CLOUD_STORAGE[๐Ÿ“ Object Storage]
    end

    subgraph "๐Ÿ”ง External Services"
        AZURE_OPENAI[๐Ÿง  Azure OpenAI]
        MONITORING[๐Ÿ“Š Application Insights]
        LOGGING[๐Ÿ“ Centralized Logging]
    end

    LOCAL_API --> LOCAL_UI
    LOCAL_API --> LOCAL_DB

    DOCKER_COMPOSE --> DOCKER_API
    DOCKER_COMPOSE --> DOCKER_UI
    DOCKER_COMPOSE --> DOCKER_DB

    CLOUD_API --> CLOUD_UI
    CLOUD_API --> CLOUD_DB
    CLOUD_API --> CLOUD_STORAGE

    LOCAL_API --> AZURE_OPENAI
    DOCKER_API --> AZURE_OPENAI
    CLOUD_API --> AZURE_OPENAI

    CLOUD_API --> MONITORING
    CLOUD_API --> LOGGING

    classDef local fill:#e8f5e8
    classDef docker fill:#e3f2fd
    classDef cloud fill:#fff3e0
    classDef external fill:#fce4ec

    class LOCAL_API,LOCAL_UI,LOCAL_DB local
    class DOCKER_API,DOCKER_UI,DOCKER_DB,DOCKER_COMPOSE docker
    class CLOUD_API,CLOUD_UI,CLOUD_DB,CLOUD_STORAGE cloud
    class AZURE_OPENAI,MONITORING,LOGGING external

Security Architecture

Security Model

graph TB
    subgraph "๐Ÿ›ก๏ธ Authentication Layer"
        BASIC_AUTH[๏ฟฝ HTTP Basic Authentication]
        CONFIG_AUTH[โš™๏ธ Configurable Authentication]
        NO_AUTH[๏ฟฝ Anonymous Access Option]
    end

    subgraph "๏ฟฝ Data Protection"
        AZURE_SECRETS[๏ฟฝ๏ธ Azure Service Keys]
        CONFIG_SECRETS[๏ฟฝ Profile Configuration]
        ENV_VARS[๐ŸŒ Environment Variables]
    end

    subgraph "๐ŸŒ Network Security"
        HTTPS[๐Ÿ” HTTPS/TLS]
        CORS[๐ŸŒ CORS Policy]
        FASTAPI_SEC[โšก FastAPI Security]
    end

    subgraph "๐Ÿ”’ External Service Security"
        AZURE_AUTH[๐Ÿง  Azure OpenAI Authentication]
        SEARCH_AUTH[๏ฟฝ Azure Search Authentication]
        SQL_AUTH[๐Ÿ—„๏ธ Database Authentication]
    end

    BASIC_AUTH --> CONFIG_AUTH
    CONFIG_AUTH --> NO_AUTH
    AZURE_SECRETS --> CONFIG_SECRETS
    CONFIG_SECRETS --> ENV_VARS

    HTTPS --> CORS
    CORS --> FASTAPI_SEC

    AZURE_AUTH --> SEARCH_AUTH
    SEARCH_AUTH --> SQL_AUTH

    classDef auth fill:#e8f5e8
    classDef data fill:#fff3e0
    classDef network fill:#e3f2fd
    classDef external fill:#fce4ec

    class BASIC_AUTH,CONFIG_AUTH,NO_AUTH auth
    class AZURE_SECRETS,CONFIG_SECRETS,ENV_VARS data
    class HTTPS,CORS,FASTAPI_SEC network
    class AZURE_AUTH,SEARCH_AUTH,SQL_AUTH external

Performance & Scalability

Performance Architecture

graph TB
    subgraph "โšก Caching Strategy"
        MEMORY[๏ฟฝ In-Memory Cache]
        FILE_CACHE[๏ฟฝ File-based Cache]
        CDN[๐ŸŒ CDN Cache]
    end

    subgraph "๐Ÿ“Š Load Balancing"
        LOAD_BALANCER[โš–๏ธ Load Balancer]
        API_INSTANCES[๐Ÿ”ง API Instances]
        HEALTH_CHECK[โค๏ธ Health Checks]
    end

    subgraph "๐Ÿ”„ Async Processing"
        ASYNC_HANDLERS[๐Ÿ“‹ Async Request Handlers]
        BACKGROUND_TASKS[๐Ÿ‘ท Background Tasks]
        SCHEDULER[โฐ Task Scheduler]
    end

    subgraph "๐Ÿ“ˆ Monitoring"
        METRICS[๐Ÿ“Š Performance Metrics]
        ALERTS[๐Ÿšจ Alert System]
        DASHBOARDS[๐Ÿ“ˆ Monitoring Dashboard]
    end

    MEMORY --> FILE_CACHE
    FILE_CACHE --> CDN

    LOAD_BALANCER --> API_INSTANCES
    LOAD_BALANCER --> HEALTH_CHECK

    ASYNC_HANDLERS --> BACKGROUND_TASKS
    BACKGROUND_TASKS --> SCHEDULER

    METRICS --> ALERTS
    ALERTS --> DASHBOARDS

    API_INSTANCES --> MEMORY
    API_INSTANCES --> ASYNC_HANDLERS
    API_INSTANCES --> METRICS

    classDef cache fill:#e8f5e8
    classDef balance fill:#fff3e0
    classDef async fill:#e3f2fd
    classDef monitor fill:#fce4ec

    class MEMORY,FILE_CACHE,CDN cache
    class LOAD_BALANCER,API_INSTANCES,HEALTH_CHECK balance
    class ASYNC_HANDLERS,BACKGROUND_TASKS,SCHEDULER async
    class METRICS,ALERTS,DASHBOARDS monitor

Extension Development

The system is designed for extensibility at several key points:

  • ๐Ÿค– Custom Agents: Create specialized agents for specific domains
  • ๐Ÿ“‹ Conversation Patterns: Define new ways agents can interact
  • ๐Ÿ”„ Conversation Flows: Implement domain-specific conversation flows
  • ๐Ÿ”Œ Custom API Routes: Add new API endpoints
  • ๐Ÿ“Š Custom Models: Define domain-specific data models
  • ๐Ÿ› ๏ธ Custom Tools: Integrate with external systems and APIs

Development Best Practices

  1. ๐Ÿ—๏ธ Modular Design: Keep components loosely coupled
  2. ๐Ÿงช Test Coverage: Maintain comprehensive test suites
  3. ๐Ÿ“ Documentation: Document all public APIs and interfaces
  4. ๐Ÿ” Security: Follow security best practices for all extensions
  5. โšก Performance: Consider performance implications of custom code
  6. ๐Ÿ”„ Compatibility: Ensure backward compatibility when possible

For detailed development instructions, see the Development Guide.

Next Steps