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MFO MindFlight Orchestrator - Detailed Documentation

version: 1.0

Table of Contents

  1. Introduction
  2. Core Concepts
  3. 2.1. Configuration Files Overview
  4. 2.2. API Client
  5. 2.3. Authentication
  6. 2.4. Taskflow Engine
  7. 2.5. Data Models
  8. 2.6. Prompt Management
  9. 2.7. Error Handling and Retry Logic
  10. Usage and Examples
  11. 3.1. Basic Usage
  12. 3.2. Advanced Usage
  13. 3.3. Best Practices
  14. 3.4. Common Patterns
  15. YAML Configuration Structure
  16. 4.1. Workflow Definition
  17. 4.2. Prompt Templates
  18. 4.3. Configuration Files
  19. 4.4. Best Practices
  20. 4.5. Validation
  21. Handling Notifications and Webhooks
  22. 5.1. Notifications
  23. 5.2. Webhooks
  24. 5.3. Best Practices
  25. Advanced Topics & Considerations
  26. 6.1. Error Handling
  27. 6.2. Data Validation
  28. 6.3. Performance Optimization
  29. 6.4. Security Considerations
  30. Conclusion
  31. References

1. Introduction

mfo-orchestrator is a Go library designed as a client for the MFO server, a platform focused on agentic workflows, task automation, and centralized interaction management. The client facilitates interaction with the server's REST API and integrates a powerful task workflow engine based on go-taskflow. This allows developers to define complex, potentially multi-agent workflows using a declarative YAML format, execute them efficiently via the mfo-orchestrator, and manage related server-side resources like jobs, events, memory,resources and prompts.

The MFO client library is built using Go, a modern programming language known for its performance, reliability, and simplicity. At its core, it leverages go-taskflow, a Directed Acyclic Graph (DAG) engine that enables sophisticated workflow patterns including parallel execution, conditional branching, and subflow composition. This powerful combination allows developers to create professional-grade software that can handle complex business logic, data processing pipelines, and automated workflows. The orchestrator provides a user-friendly interface that abstracts away the complexity of workflow management, enabling end-users to define and execute their own workflows without deep technical knowledge. Whether you're building data processing pipelines, automated testing suites, or complex business process automation, the MFO client library provides the tools and flexibility needed to create robust, maintainable solutions.

The library design emphasizes flexibility and human readability, particularly through its use of YAML for taskflow definitions and configuration. This aligns with preferences for systems where configurations are easily understood and modifiable by humans, potentially supporting dynamic adjustments in multi-agent orchestration scenarios. Clients delegate external interactions and persistence entirely to the MFO server, promoting stateless client design.

2. Core Concepts

2.1. Configuration Files Overview

The MFO system uses three main YAML configuration files to define its behavior:

  1. workflow_definition.yml: Defines the overall workflow structure, including:
  2. Triggers (webhooks, schedules, user inputs)
  3. Taskflows (sequences of tasks)
  4. Subflows (reusable task groups)
  5. Input/Output schemas

  6. Global configurations

  7. agents_definition.yml: Defines autonomous agents that can execute tasks:

  8. Agent capabilities and objectives
  9. Available tools for each agent
  10. Interaction rules and limits

  11. Prompt templates references

  12. prompts_definition.yml: Contains prompt templates and tools for LLM interactions:

  13. System and user prompts
  14. Error handling templates
  15. Tool definitions for LLM interactions
  16. Extraction schemas

These files work together to create a complete system: - Workflows define the overall process and task sequences - Agents execute tasks and make decisions - Prompts guide LLM interactions and ensure consistent outputs

2.2. API Client (internal/client, internal/api)

The API client is the core component for interacting with the MFO server's REST API. It's designed with a modular, interface-based architecture for maintainability and testability.

2.2.1. Base Client (client.go)

type BaseClient struct {
    baseURL    string
    httpClient *http.Client
    auth       auth.AuthProvider
}

func NewBaseClient(baseURL string, httpClient *http.Client, auth auth.AuthProvider) *BaseClient {
    return &BaseClient{
        baseURL:    baseURL,
        httpClient: httpClient,
        auth:       auth,
    }
}

2.2.2. Interface Definitions (interfaces.go)

type BaseClientInterface interface {
    Get(ctx context.Context, path string, result interface{}) error
    Post(ctx context.Context, path string, body interface{}, result interface{}) error
    Put(ctx context.Context, path string, body interface{}, result interface{}) error
    Delete(ctx context.Context, path string, result interface{}) error
}

type ChatClientInterface interface {
    SendMessage(ctx context.Context, req models.ChatRequest) (*models.ChatResponse, error)
    GetThread(ctx context.Context, threadID string) (*models.Thread, error)
}

type ResourceClientInterface interface {
    GetResource(ctx context.Context, resourceID string) (*models.Resource, error)
    CreateResource(ctx context.Context, req models.CreateResourceRequest) (*models.Resource, error)
    UpdateResource(ctx context.Context, resourceID string, req models.UpdateResourceRequest) (*models.Resource, error)
    DeleteResource(ctx context.Context, resourceID string) error
}

type MemoryClientInterface interface {
    GetMemory(ctx context.Context, key string) (*models.Memory, error)
    StoreMemory(ctx context.Context, req models.StoreMemoryRequest) error
    DeleteMemory(ctx context.Context, key string) error
}

type ToolClientInterface interface {
    ExecuteTool(ctx context.Context, toolID string, arguments map[string]interface{}) (*models.ToolResponse, error)
    ListTools(ctx context.Context) (*models.ToolsResponse, error)
}

type JobClientInterface interface {
    GetJob(ctx context.Context, jobID string) (*models.Job, error)
    CreateJob(ctx context.Context, req models.CreateJobRequest) (*models.Job, error)
    CancelJob(ctx context.Context, jobID string) error
}

type EventClientInterface interface {
    CreateEventTrigger(ctx context.Context, req models.CreateEventTriggerRequest) (*models.EventTrigger, error)
    GetEventTrigger(ctx context.Context, triggerID string) (*models.EventTrigger, error)
    DeleteEventTrigger(ctx context.Context, triggerID string) error
}

type NotificationClientInterface interface {
    CreateNotification(ctx context.Context, req models.CreateNotificationRequest) (*models.Notification, error)
    GetNotification(ctx context.Context, notificationID string) (*models.Notification, error)
    DeleteNotification(ctx context.Context, notificationID string) error
}

2.2.3. Specialized Clients

Each specialized client implements its respective interface and uses the base client for HTTP operations:

// Chat Client
type ChatClient struct {
    base BaseClientInterface
}

func NewChatClient(base BaseClientInterface) *ChatClient {
    return &ChatClient{base: base}
}

func (c *ChatClient) SendMessage(ctx context.Context, req models.ChatRequest) (*models.ChatResponse, error) {
    var response models.ChatResponse
    err := c.base.Post(ctx, "/api/chat", req, &response)
    return &response, err
}

// Resource Client
type ResourceClient struct {
    base BaseClientInterface
}

func NewResourceClient(base BaseClientInterface) *ResourceClient {
    return &ResourceClient{base: base}
}

func (c *ResourceClient) GetResource(ctx context.Context, resourceID string) (*models.Resource, error) {
    var resource models.Resource
    err := c.base.Get(ctx, fmt.Sprintf("/api/resources/%s", resourceID), &resource)
    return &resource, err
}

2.2.4. Usage Example

// Initialize base client
baseClient := api.NewBaseClient("https://api.example.com", http.DefaultClient, authProvider)

// Create specialized clients
chatClient := api.NewChatClient(baseClient)
resourceClient := api.NewResourceClient(baseClient)

// Use clients
chatResp, err := chatClient.SendMessage(context.Background(), models.ChatRequest{
    Message: "Hello",
    ThreadID: "thread-123",
})
if err != nil {
    log.Printf("Failed to send message: %v", err)
    return
}

resource, err := resourceClient.GetResource(context.Background(), "resource-456")
if err != nil {
    log.Printf("Failed to get resource: %v", err)
    return
}

2.2.5. Error Handling

The API client implements consistent error handling across all operations:

type APIError struct {
    StatusCode int
    Message    string
    Details    map[string]interface{}
}

func (e *APIError) Error() string {
    return fmt.Sprintf("API error (status %d): %s", e.StatusCode, e.Message)
}

// Error handling in base client
func (c *BaseClient) handleResponse(resp *http.Response, result interface{}) error {
    if resp.StatusCode >= 400 {
        var apiErr APIError
        if err := json.NewDecoder(resp.Body).Decode(&apiErr); err != nil {
            return fmt.Errorf("failed to decode error response: %w", err)
        }
        return &apiErr
    }

    if result != nil {
        if err := json.NewDecoder(resp.Body).Decode(result); err != nil {
            return fmt.Errorf("failed to decode response: %w", err)
        }
    }
    return nil
}

2.3. Authentication (internal/auth)

The Authentication package provides a secure and thread-safe implementation for handling authentication with the MFO server. It manages API tokens and authentication headers for all API requests.

2.3.1. Auth Client

type Auth struct {
    baseURL    string
    httpClient *http.Client
    token      string
    mu         sync.RWMutex
}

func NewAuth(baseURL string, httpClient *http.Client) *Auth {
    return &Auth{
        baseURL:    baseURL,
        httpClient: httpClient,
    }
}

2.3.2. Authentication Methods

// Login with email and password
func (a *Auth) Login(email, password string) error {
    a.mu.Lock()
    defer a.mu.Unlock()

    req := models.LoginRequest{
        Email:    email,
        Password: password,
    }

    var resp models.LoginResponse
    err := a.post("/auth/login", req, &resp)
    if err != nil {
        return fmt.Errorf("login failed: %w", err)
    }

    a.token = resp.Token
    return nil
}

// Get authentication header
func (a *Auth) GetAuthHeader() string {
    a.mu.RLock()
    defer a.mu.RUnlock()

    if a.token == "" {
        return ""
    }
    return fmt.Sprintf("Bearer %s", a.token)
}

2.3.3. Token Management

// Set token manually
func (a *Auth) SetToken(token string) {
    a.mu.Lock()
    defer a.mu.Unlock()
    a.token = token
}

// Get current token
func (a *Auth) GetToken() string {
    a.mu.RLock()
    defer a.mu.RUnlock()
    return a.token
}

// Clear token
func (a *Auth) ClearToken() {
    a.mu.Lock()
    defer a.mu.Unlock()
    a.token = ""
}

2.3.4. Usage Example

// Initialize auth client
auth := auth.NewAuth("https://api.example.com", http.DefaultClient)

// Login to get token
err := auth.Login("user@example.com", "password")
if err != nil {
    log.Fatal(err)
}

// Use auth in API client
apiClient := api.NewBaseClient("https://api.example.com", http.DefaultClient, auth)

// Get auth header for custom requests
header := auth.GetAuthHeader()

2.3.5. Security Features

  1. Thread Safety
  2. All token operations are protected by mutex
  3. Read-write locks for optimal performance

  4. Safe concurrent access

  5. Token Protection

  6. No token exposure in logs
  7. Secure token storage

  8. Automatic header generation

  9. Error Handling

  10. Clear error messages
  11. Proper error wrapping
  12. Login failure handling

2.4. Taskflow Engine (internal/taskflow)

The Taskflow Engine provides a comprehensive system for managing and executing task flows, including task registration, flow building, execution, and monitoring. It integrates with the go-taskflow library to provide a robust workflow execution engine.

2.4.1. Task Registry

type TaskRegistry struct {
    mu                 sync.RWMutex
    taskFactories      map[string]models.TaskFactory
    conditionFactories map[string]models.ConditionFactory
}

func NewTaskRegistry() *TaskRegistry {
    return &TaskRegistry{
        taskFactories:      make(map[string]models.TaskFactory),
        conditionFactories: make(map[string]models.ConditionFactory),
    }
}

// Register a task factory
func (r *TaskRegistry) RegisterTask(taskType string, factory models.TaskFactory) {
    r.mu.Lock()
    defer r.mu.Unlock()
    r.taskFactories[taskType] = factory
}

// Get a task factory
func (r *TaskRegistry) GetTaskFactory(taskType string) (models.TaskFactory, bool) {
    r.mu.RLock()
    defer r.mu.RUnlock()
    factory, ok := r.taskFactories[taskType]
    return factory, ok
}

2.4.2. Flow Builder

type Builder struct {
    registry *TaskRegistry
}

func NewBuilder(registry *TaskRegistry) *Builder {
    return &Builder{
        registry: registry,
    }
}

// Build a flow from definition
func (b *Builder) BuildFlow(def *models.FlowDefinition) (*gtf.Flow, error) {
    // Create flow
    flow := gtf.NewFlow()

    // Add tasks
    for _, taskDef := range def.Tasks {
        task, err := b.buildTask(taskDef)
        if err != nil {
            return nil, fmt.Errorf("failed to build task %s: %w", taskDef.ID, err)
        }
        flow.AddTask(task)
    }

    // Add dependencies
    for _, taskDef := range def.Tasks {
        for _, depID := range taskDef.Dependencies {
            flow.AddDependency(taskDef.ID, depID)
        }
    }

    return flow, nil
}

2.4.3. Flow Executor

type FlowExecutor struct {
    registry    *TaskRegistry
    builder     *Builder
    loader      *FlowLoader
    executor    gtf.Executor
    concurrency int
}

func NewFlowExecutor(registry *TaskRegistry, concurrency int) *FlowExecutor {
    return &FlowExecutor{
        registry:    registry,
        builder:     NewBuilder(registry),
        loader:      NewFlowLoader(),
        executor:    gtf.NewExecutor(uint(concurrency)),
        concurrency: concurrency,
    }
}

// Execute a flow
func (e *FlowExecutor) ExecuteFlow(flowDef *models.FlowDefinition, context map[string]interface{}, options *gtf.ExecutionOptions) error {
    // Build flow
    flow, err := e.builder.BuildFlow(flowDef)
    if err != nil {
        return fmt.Errorf("failed to build flow: %w", err)
    }

    // Execute flow
    result := e.executor.Run(flow, gtf.WithContext(context), gtf.WithOptions(options))
    return result.Error()
}

2.4.4. Usage Example

// Create a new task registry
registry := taskflow.NewTaskRegistry()

// Register task factories
registry.RegisterTask("mfo_api_chat_send", func(config map[string]interface{}) (models.TaskFunc, error) {
    return func(ctx *context.FlowContext) {
        // Task implementation
    }, nil
})

// Create a flow executor
executor := taskflow.NewFlowExecutor(registry, 4) // 4 concurrent tasks

// Load and execute a flow
flowDef, err := taskflow.LoadFromYAML("path/to/flow.yaml")
if err != nil {
    log.Fatal(err)
}

err = executor.ExecuteFlow(flowDef, map[string]interface{}{
    "processID": "flow-123",
    "input": "data",
}, nil)

2.4.5. Key Features

  1. Task Management
  2. Task registration
  3. Factory pattern
  4. Type-based lookup

  5. Priority handling

  6. Flow Building

  7. YAML-based definitions
  8. Task creation
  9. Subflow support
  10. Condition handling

  11. Dependency management

  12. Flow Execution

  13. Concurrent execution
  14. Context management
  15. Timeout support
  16. Error handling
  17. Flow monitoring

2.4.6. Dependencies

  • github.com/noneback/go-taskflow: Core taskflow library
  • gopkg.in/yaml.v3: YAML parsing
  • Standard library: sync, time, context

2.4.7. Configuration

The taskflow system can be configured through: 1. Task registry setup 2. Flow definitions (YAML) 3. Execution parameters 4. Concurrency settings

2.4.8. Best Practices

  1. Register all task factories
  2. Validate flow definitions
  3. Handle errors appropriately
  4. Monitor flow execution
  5. Use timeouts for long-running flows

2.4.9. Testing

  • Test task registration
  • Verify flow building
  • Check execution flow
  • Validate error handling
  • Test timeout scenarios

[Continue with next sections...]

2.5. Data Models (internal/models)

The Data Models package defines the core data structures used throughout the MFO client library. These models represent the entities and operations supported by the MFO server.

2.5.1. Chat Models

type ChatRequest struct {
    Message   string                 `json:"message"`
    ThreadID  string                 `json:"thread_id"`
    Metadata  map[string]interface{} `json:"metadata,omitempty"`
}

type ChatResponse struct {
    MessageID string                 `json:"message_id"`
    Content   string                 `json:"content"`
    ThreadID  string                 `json:"thread_id"`
    Metadata  map[string]interface{} `json:"metadata,omitempty"`
}

type Thread struct {
    ID        string                 `json:"id"`
    Messages  []Message              `json:"messages"`
    Metadata  map[string]interface{} `json:"metadata,omitempty"`
    CreatedAt time.Time             `json:"created_at"`
    UpdatedAt time.Time             `json:"updated_at"`
}

type Message struct {
    ID        string                 `json:"id"`
    Content   string                 `json:"content"`
    Role      string                 `json:"role"`
    Metadata  map[string]interface{} `json:"metadata,omitempty"`
    CreatedAt time.Time             `json:"created_at"`
}

2.5.2. Resource Models

type Resource struct {
    ID          string                 `json:"id"`
    Type        string                 `json:"type"`
    Content     string                 `json:"content"`
    Metadata    map[string]interface{} `json:"metadata,omitempty"`
    CreatedAt   time.Time             `json:"created_at"`
    UpdatedAt   time.Time             `json:"updated_at"`
}

type CreateResourceRequest struct {
    Type     string                 `json:"type"`
    Content  string                 `json:"content"`
    Metadata map[string]interface{} `json:"metadata,omitempty"`
}

type UpdateResourceRequest struct {
    Content  string                 `json:"content,omitempty"`
    Metadata map[string]interface{} `json:"metadata,omitempty"`
}

2.5.3. Memory Models

type Memory struct {
    Key       string                 `json:"key"`
    Value     interface{}            `json:"value"`
    Metadata  map[string]interface{} `json:"metadata,omitempty"`
    CreatedAt time.Time             `json:"created_at"`
    UpdatedAt time.Time             `json:"updated_at"`
}

type StoreMemoryRequest struct {
    Value    interface{}            `json:"value"`
    Metadata map[string]interface{} `json:"metadata,omitempty"`
}

2.5.4. Tool Models

type Tool struct {
    ID          string                 `json:"id"`
    Name        string                 `json:"name"`
    Description string                 `json:"description"`
    Parameters  map[string]interface{} `json:"parameters"`
    Metadata    map[string]interface{} `json:"metadata,omitempty"`
}

type ToolResponse struct {
    Result  interface{}            `json:"result"`
    Metadata map[string]interface{} `json:"metadata,omitempty"`
}

type ToolsResponse struct {
    Tools []Tool `json:"tools"`
}

2.5.5. Job Models

type Job struct {
    ID          string                 `json:"id"`
    Status      string                 `json:"status"`
    Result      interface{}            `json:"result,omitempty"`
    Error       string                 `json:"error,omitempty"`
    Metadata    map[string]interface{} `json:"metadata,omitempty"`
    CreatedAt   time.Time             `json:"created_at"`
    UpdatedAt   time.Time             `json:"updated_at"`
}

type CreateJobRequest struct {
    Type     string                 `json:"type"`
    Input    interface{}            `json:"input"`
    Metadata map[string]interface{} `json:"metadata,omitempty"`
}

2.5.6. Event Models

type EventTrigger struct {
    ID          string                 `json:"id"`
    Type        string                 `json:"type"`
    Condition   map[string]interface{} `json:"condition"`
    Action      map[string]interface{} `json:"action"`
    Metadata    map[string]interface{} `json:"metadata,omitempty"`
    CreatedAt   time.Time             `json:"created_at"`
    UpdatedAt   time.Time             `json:"updated_at"`
}

type CreateEventTriggerRequest struct {
    Type      string                 `json:"type"`
    Condition map[string]interface{} `json:"condition"`
    Action    map[string]interface{} `json:"action"`
    Metadata  map[string]interface{} `json:"metadata,omitempty"`
}

2.5.7. Notification Models

type Notification struct {
    ID        string                 `json:"id"`
    Type      NotificationType       `json:"type"`
    Title     string                 `json:"title"`
    Content   string                 `json:"content"`
    Metadata  map[string]interface{} `json:"metadata,omitempty"`
    CreatedAt time.Time             `json:"created_at"`
    ReadAt    *time.Time            `json:"read_at,omitempty"`
}

type CreateNotificationRequest struct {
    Type     string                 `json:"type"`
    Title    string                 `json:"title"`
    Content  string                 `json:"content"`
    Metadata map[string]interface{} `json:"metadata,omitempty"`
}

2.5.8. Common Models

type Error struct {
    Code    string `json:"code"`
    Message string `json:"message"`
}

type Pagination struct {
    Page     int `json:"page"`
    PageSize int `json:"page_size"`
    Total    int `json:"total"`
}

type PaginatedResponse struct {
    Data       interface{} `json:"data"`
    Pagination Pagination  `json:"pagination"`
}

2.5.9. Usage Example

// Create a chat request
chatReq := models.ChatRequest{
    Message:  "Hello, how can you help me?",
    ThreadID: "thread-123",
    Metadata: map[string]interface{}{
        "source": "web",
        "user_id": "user-456",
    },
}

// Create a resource
resourceReq := models.CreateResourceRequest{
    Type:    "document",
    Content: "This is a test document",
    Metadata: map[string]interface{}{
        "author": "John Doe",
        "tags":   []string{"test", "document"},
    },
}

// Store memory
memoryReq := models.StoreMemoryRequest{
    Value: "Remember this information",
    Metadata: map[string]interface{}{
        "importance": "high",
        "category":   "user_preference",
    },
}

2.5.10. Best Practices

  1. Always validate required fields
  2. Use appropriate types for metadata
  3. Handle time fields consistently
  4. Include proper JSON tags
  5. Document model relationships

2.5.11. Testing

  • Test model validation
  • Verify JSON serialization
  • Check field types
  • Validate time handling
  • Test metadata handling

[Continue with next sections...]

2.6. Prompt Management (internal/prompt, internal/prompts)

The Prompt Management system provides a structured way to handle and manage prompts for the MFO client. It includes prompt templates, validation, and integration with the chat system.

2.6.1. Prompt Templates

type PromptTemplate struct {
    ID          string                 `json:"id"`
    Name        string                 `json:"name"`
    Description string                 `json:"description"`
    Template    string                 `json:"template"`
    Variables   []string               `json:"variables"`
    Metadata    map[string]interface{} `json:"metadata,omitempty"`
}

type PromptContext struct {
    Variables map[string]interface{} `json:"variables"`
    Metadata  map[string]interface{} `json:"metadata,omitempty"`
}

2.6.2. Prompt Manager

type PromptManager struct {
    templates map[string]*PromptTemplate
    mu        sync.RWMutex
}

func NewPromptManager() *PromptManager {
    return &PromptManager{
        templates: make(map[string]*PromptTemplate),
    }
}

// Register a prompt template
func (m *PromptManager) RegisterTemplate(template *PromptTemplate) error {
    m.mu.Lock()
    defer m.mu.Unlock()

    if _, exists := m.templates[template.ID]; exists {
        return fmt.Errorf("template with ID %s already exists", template.ID)
    }

    m.templates[template.ID] = template
    return nil
}

// Get a prompt template
func (m *PromptManager) GetTemplate(id string) (*PromptTemplate, error) {
    m.mu.RLock()
    defer m.mu.RUnlock()

    template, exists := m.templates[id]
    if !exists {
        return nil, fmt.Errorf("template with ID %s not found", id)
    }

    return template, nil
}

2.6.3. Prompt Renderer

type PromptRenderer struct {
    manager *PromptManager
}

func NewPromptRenderer(manager *PromptManager) *PromptRenderer {
    return &PromptRenderer{
        manager: manager,
    }
}

// Render a prompt template
func (r *PromptRenderer) Render(templateID string, context *PromptContext) (string, error) {
    template, err := r.manager.GetTemplate(templateID)
    if err != nil {
        return "", fmt.Errorf("failed to get template: %w", err)
    }

    // Validate required variables
    for _, variable := range template.Variables {
        if _, exists := context.Variables[variable]; !exists {
            return "", fmt.Errorf("missing required variable: %s", variable)
        }
    }

    // Render template
    tmpl, err := template.New("prompt").Parse(template.Template)
    if err != nil {
        return "", fmt.Errorf("failed to parse template: %w", err)
    }

    var result strings.Builder
    if err := tmpl.Execute(&result, context.Variables); err != nil {
        return "", fmt.Errorf("failed to render template: %w", err)
    }

    return result.String(), nil
}

2.6.4. Usage Example

// Create a prompt manager
manager := prompt.NewPromptManager()

// Register a template
template := &prompt.PromptTemplate{
    ID:          "greeting",
    Name:        "Greeting Template",
    Description: "A template for greeting users",
    Template:    "Hello {{.name}}! Welcome to {{.service}}.",
    Variables:   []string{"name", "service"},
    Metadata: map[string]interface{}{
        "category": "greeting",
        "version":  "1.0",
    },
}

err := manager.RegisterTemplate(template)
if err != nil {
    log.Fatal(err)
}

// Create a renderer
renderer := prompt.NewPromptRenderer(manager)

// Render a prompt
context := &prompt.PromptContext{
    Variables: map[string]interface{}{
        "name":    "John",
        "service": "MFO",
    },
    Metadata: map[string]interface{}{
        "source": "web",
    },
}

result, err := renderer.Render("greeting", context)
if err != nil {
    log.Fatal(err)
}

fmt.Println(result) // Output: Hello John! Welcome to MFO.

2.6.5. Integration with Chat

// Use prompt in chat request
chatReq := models.ChatRequest{
    Message:  result,
    ThreadID: "thread-123",
    Metadata: map[string]interface{}{
        "prompt_id": template.ID,
        "variables": context.Variables,
    },
}

2.6.6. Best Practices

  1. Use descriptive template IDs
  2. Document required variables
  3. Validate template syntax
  4. Handle missing variables
  5. Include metadata for context

2.6.7. Testing

  • Test template registration
  • Verify variable validation
  • Check template rendering
  • Test error handling
  • Validate metadata handling

[Continue with next sections...]

2.7. Error Handling and Retry Logic (internal/errors, internal/retry)

The Error Handling and Retry Logic system provides robust error management and automatic retry mechanisms for API operations. It includes custom error types, retry policies, and circuit breaker patterns.

2.7.1. Error Types

type APIError struct {
    Code    string `json:"code"`
    Message string `json:"message"`
    Details map[string]interface{} `json:"details,omitempty"`
}

type ValidationError struct {
    Field   string `json:"field"`
    Message string `json:"message"`
}

type RetryableError struct {
    OriginalError error
    RetryAfter   time.Duration
}

type CircuitBreakerError struct {
    ServiceName string
    State      string
}

2.7.2. Retry Policy

type RetryPolicy struct {
    MaxAttempts      int
    InitialBackoff   time.Duration
    MaxBackoff       time.Duration
    BackoffMultiplier float64
    RetryableErrors  []error
}

func NewDefaultRetryPolicy() *RetryPolicy {
    return &RetryPolicy{
        MaxAttempts:      3,
        InitialBackoff:   time.Second,
        MaxBackoff:       time.Minute,
        BackoffMultiplier: 2.0,
        RetryableErrors: []error{
            &RetryableError{},
            &CircuitBreakerError{},
        },
    }
}

func (p *RetryPolicy) ShouldRetry(err error) bool {
    for _, retryableErr := range p.RetryableErrors {
        if errors.Is(err, retryableErr) {
            return true
        }
    }
    return false
}

func (p *RetryPolicy) GetBackoff(attempt int) time.Duration {
    backoff := p.InitialBackoff * time.Duration(math.Pow(p.BackoffMultiplier, float64(attempt-1)))
    if backoff > p.MaxBackoff {
        return p.MaxBackoff
    }
    return backoff
}

2.7.3. Circuit Breaker

type CircuitBreaker struct {
    name           string
    failureThreshold int
    resetTimeout   time.Duration
    failures       int
    lastFailure    time.Time
    state          string
    mu             sync.RWMutex
}

func NewCircuitBreaker(name string, failureThreshold int, resetTimeout time.Duration) *CircuitBreaker {
    return &CircuitBreaker{
        name:           name,
        failureThreshold: failureThreshold,
        resetTimeout:   resetTimeout,
        state:         "closed",
    }
}

func (cb *CircuitBreaker) Execute(fn func() error) error {
    if !cb.allowRequest() {
        return &CircuitBreakerError{
            ServiceName: cb.name,
            State:      cb.state,
        }
    }

    err := fn()
    if err != nil {
        cb.recordFailure()
    } else {
        cb.recordSuccess()
    }
    return err
}

func (cb *CircuitBreaker) allowRequest() bool {
    cb.mu.RLock()
    defer cb.mu.RUnlock()

    if cb.state == "open" {
        if time.Since(cb.lastFailure) > cb.resetTimeout {
            cb.mu.RUnlock()
            cb.mu.Lock()
            cb.state = "half-open"
            cb.mu.Unlock()
            cb.mu.RLock()
            return true
        }
        return false
    }
    return true
}

2.7.4. Retry Executor

type RetryExecutor struct {
    policy *RetryPolicy
    cb     *CircuitBreaker
}

func NewRetryExecutor(policy *RetryPolicy, cb *CircuitBreaker) *RetryExecutor {
    return &RetryExecutor{
        policy: policy,
        cb:     cb,
    }
}

func (e *RetryExecutor) Execute(fn func() error) error {
    var lastErr error
    for attempt := 1; attempt <= e.policy.MaxAttempts; attempt++ {
        err := e.cb.Execute(fn)
        if err == nil {
            return nil
        }

        lastErr = err
        if !e.policy.ShouldRetry(err) {
            return err
        }

        if attempt < e.policy.MaxAttempts {
            backoff := e.policy.GetBackoff(attempt)
            time.Sleep(backoff)
        }
    }
    return fmt.Errorf("max retry attempts reached: %w", lastErr)
}

2.7.5. Usage Example

// Create retry policy
policy := retry.NewDefaultRetryPolicy()

// Create circuit breaker
cb := retry.NewCircuitBreaker("api-service", 5, time.Minute)

// Create retry executor
executor := retry.NewRetryExecutor(policy, cb)

// Execute with retry
err := executor.Execute(func() error {
    // API call or other operation
    return apiClient.SendMessage(context.Background(), chatReq)
})

if err != nil {
    switch {
    case errors.Is(err, &retry.CircuitBreakerError{}):
        log.Printf("Circuit breaker is open for %s", cb.name)
    case errors.Is(err, &retry.RetryableError{}):
        log.Printf("Operation failed after retries: %v", err)
    default:
        log.Printf("Operation failed: %v", err)
    }
}

2.7.6. Best Practices

  1. Use appropriate error types
  2. Configure retry policies carefully
  3. Monitor circuit breaker states
  4. Log retry attempts
  5. Handle timeouts properly

2.7.7. Testing

  • Test retry policies
  • Verify circuit breaker behavior
  • Check error handling
  • Validate backoff calculations
  • Test concurrent operations

[Continue with next sections...]

4. YAML Configuration Structure

The MFO client library uses YAML files to define workflows, prompts, and configurations. This section describes the structure and usage of these YAML files.

4.1. Workflow Definition

4.1.1. Basic Structure

name: "Example Workflow"
description: "A sample workflow demonstrating MFO capabilities"
version: "1.0"

tasks:
  - id: "task1"
    name: "First Task"
    type: "mfo_api_chat_send"
    config:
      message: "Hello, world!"
      thread_id: "thread-123"
    successors:
      - "task2"

  - id: "task2"
    name: "Second Task"
    type: "mfo_api_resource_get"
    config:
      resource_id: "resource-456"
    dependencies:
      - "task1"

4.1.2. Task Configuration

tasks:
  - id: "chat_task"
    type: "mfo_api_chat_send"
    config:
      message: "Hello, {{.name}}!"
      thread_id: "{{.thread_id}}"
      metadata:
        source: "workflow"
        user_id: "{{.user_id}}"
    error_handling:
      retry:
        max_attempts: 3
        backoff: "exponential"
        initial_delay: "1s"
        max_delay: "1m"

4.1.3. Dependencies and Flow Control

tasks:
  - id: "start"
    type: "mfo_api_chat_send"
    successors:
      - "process"
      - "validate"

  - id: "process"
    type: "mfo_api_resource_get"
    dependencies:
      - "start"
    successors:
      - "end"

  - id: "validate"
    type: "mfo_api_tool_execute"
    dependencies:
      - "start"
    successors:
      - "end"

  - id: "end"
    type: "mfo_api_memory_store"
    dependencies:
      - "process"
      - "validate"

4.2. Prompt Templates

4.2.1. Basic Template

templates:
  greeting:
    name: "Greeting Template"
    description: "A template for greeting users"
    template: |
      Hello {{.name}}!
      Welcome to {{.service}}.
      Your account type is: {{.account_type}}
    variables:
      - name
      - service
      - account_type
    metadata:
      category: "greeting"
      version: "1.0"

4.2.2. Template with Conditions

templates:
  response:
    name: "Response Template"
    description: "A template for generating responses"
    template: |
      {{if .is_error}}
      Error: {{.error_message}}
      Please try again or contact support.
      {{else}}
      Success! Your request has been processed.
      {{if .has_details}}
      Details:
      {{range .details}}
      - {{.}}
      {{end}}
      {{end}}
      {{end}}
    variables:
      - is_error
      - error_message
      - has_details
      - details

4.2.3. Template with Functions

templates:
  report:
    name: "Report Template"
    description: "A template for generating reports"
    template: |
      Report for {{.date | formatDate "2006-01-02"}}

      Summary:
      Total Items: {{len .items}}
      {{if gt (len .items) 0}}
      Items:
      {{range .items}}
      - {{.name}}: {{.value}}
      {{end}}
      {{end}}

      Generated at: {{now | formatDate "2006-01-02 15:04:05"}}
    variables:
      - date
      - items

4.3. Configuration Files

4.3.1. Client Configuration

client:
  base_url: "https://api.example.com"
  timeout: "30s"
  retry:
    max_attempts: 3
    initial_backoff: "1s"
    max_backoff: "1m"
    backoff_multiplier: 2.0
  circuit_breaker:
    failure_threshold: 5
    reset_timeout: "1m"

4.3.2. Taskflow Configuration

taskflow:
  concurrency: 4
  timeout: "5m"
  error_handling:
    retry:
      max_attempts: 3
      backoff: "exponential"
    circuit_breaker:
      failure_threshold: 5
      reset_timeout: "1m"

4.3.3. Logging Configuration

logging:
  level: "info"
  format: "json"
  output: "stdout"
  fields:
    service: "mfo-client"
    environment: "production"

4.4. Best Practices

  1. Workflow Structure
  2. Use descriptive task IDs
  3. Document task purposes
  4. Handle errors properly

  5. Use appropriate dependencies

  6. Prompt Templates

  7. Validate required variables
  8. Use clear variable names
  9. Include error handling

  10. Document template usage

  11. Configuration

  12. Use environment variables
  13. Validate configurations
  14. Document settings

  15. Use appropriate timeouts

  16. Error Handling

  17. Define retry policies
  18. Use circuit breakers
  19. Log errors properly
  20. Handle timeouts

4.5. Validation

The MFO client library includes tools for validating YAML configurations:

// Validate workflow
err := taskflow.ValidateWorkflow(workflowYAML)
if err != nil {
    log.Printf("Invalid workflow: %v", err)
    return
}

// Validate prompt template
err := prompt.ValidateTemplate(templateYAML)
if err != nil {
    log.Printf("Invalid template: %v", err)
    return
}

// Validate configuration
err := config.ValidateConfig(configYAML)
if err != nil {
    log.Printf("Invalid configuration: %v", err)
    return
}

[Continue with next sections...]

5. Handling Notifications and Webhooks

The MFO client library provides robust support for handling notifications and webhooks, enabling real-time communication and event-driven workflows.

5.1. Notifications

5.1.1. Notification Types

type NotificationType string

const (
    NotificationTypeInfo    NotificationType = "info"
    NotificationTypeSuccess NotificationType = "success"
    NotificationTypeWarning NotificationType = "warning"
    NotificationTypeError   NotificationType = "error"
)

type Notification struct {
    ID        string                 `json:"id"`
    Type      NotificationType       `json:"type"`
    Title     string                 `json:"title"`
    Content   string                 `json:"content"`
    Metadata  map[string]interface{} `json:"metadata,omitempty"`
    CreatedAt time.Time             `json:"created_at"`
    ReadAt    *time.Time            `json:"read_at,omitempty"`
}

5.1.2. Notification Client

type NotificationClient struct {
    base BaseClientInterface
}

func NewNotificationClient(base BaseClientInterface) *NotificationClient {
    return &NotificationClient{
        base: base,
    }
}

// Create a notification
func (c *NotificationClient) CreateNotification(ctx context.Context, req models.CreateNotificationRequest) (*models.Notification, error) {
    var notification models.Notification
    err := c.base.Post(ctx, "/api/notifications", req, &notification)
    return &notification, err
}

// Get a notification
func (c *NotificationClient) GetNotification(ctx context.Context, notificationID string) (*models.Notification, error) {
    var notification models.Notification
    err := c.base.Get(ctx, fmt.Sprintf("/api/notifications/%s", notificationID), &notification)
    return &notification, err
}

// Mark notification as read
func (c *NotificationClient) MarkAsRead(ctx context.Context, notificationID string) error {
    return c.base.Put(ctx, fmt.Sprintf("/api/notifications/%s/read", notificationID), nil, nil)
}

5.1.3. Usage Example

// Create notification client
notificationClient := api.NewNotificationClient(baseClient)

// Create a notification
notification, err := notificationClient.CreateNotification(context.Background(), models.CreateNotificationRequest{
    Type:    models.NotificationTypeInfo,
    Title:   "Task Completed",
    Content: "Your task has been completed successfully",
    Metadata: map[string]interface{}{
        "task_id": "task-123",
        "user_id": "user-456",
    },
})
if err != nil {
    log.Printf("Failed to create notification: %v", err)
    return
}

// Mark notification as read
err = notificationClient.MarkAsRead(context.Background(), notification.ID)
if err != nil {
    log.Printf("Failed to mark notification as read: %v", err)
    return
}

5.2. Webhooks

5.2.1. Webhook Types

type WebhookType string

const (
    WebhookTypeEvent    WebhookType = "event"
    WebhookTypeTrigger  WebhookType = "trigger"
    WebhookTypeCallback WebhookType = "callback"
)

type Webhook struct {
    ID          string                 `json:"id"`
    Type        WebhookType           `json:"type"`
    URL         string                `json:"url"`
    Secret      string                `json:"secret"`
    Events      []string              `json:"events"`
    Metadata    map[string]interface{} `json:"metadata,omitempty"`
    CreatedAt   time.Time             `json:"created_at"`
    UpdatedAt   time.Time             `json:"updated_at"`
}

5.2.2. Webhook Client

type WebhookClient struct {
    base BaseClientInterface
}

func NewWebhookClient(base BaseClientInterface) *WebhookClient {
    return &WebhookClient{
        base: base,
    }
}

// Create a webhook
func (c *WebhookClient) CreateWebhook(ctx context.Context, req models.CreateWebhookRequest) (*models.Webhook, error) {
    var webhook models.Webhook
    err := c.base.Post(ctx, "/api/webhooks", req, &webhook)
    return &webhook, err
}

// Get a webhook
func (c *WebhookClient) GetWebhook(ctx context.Context, webhookID string) (*models.Webhook, error) {
    var webhook models.Webhook
    err := c.base.Get(ctx, fmt.Sprintf("/api/webhooks/%s", webhookID), &webhook)
    return &webhook, err
}

// Delete a webhook
func (c *WebhookClient) DeleteWebhook(ctx context.Context, webhookID string) error {
    return c.base.Delete(ctx, fmt.Sprintf("/api/webhooks/%s", webhookID), nil)
}

5.2.3. Webhook Handler

type WebhookHandler struct {
    secret string
    handler func(payload []byte) error
}

func NewWebhookHandler(secret string, handler func(payload []byte) error) *WebhookHandler {
    return &WebhookHandler{
        secret:  secret,
        handler: handler,
    }
}

// Handle webhook request
func (h *WebhookHandler) HandleRequest(w http.ResponseWriter, r *http.Request) {
    // Verify signature
    signature := r.Header.Get("X-Webhook-Signature")
    if !h.verifySignature(r.Body, signature) {
        http.Error(w, "Invalid signature", http.StatusUnauthorized)
        return
    }

    // Read payload
    payload, err := io.ReadAll(r.Body)
    if err != nil {
        http.Error(w, "Failed to read payload", http.StatusBadRequest)
        return
    }

    // Handle payload
    if err := h.handler(payload); err != nil {
        http.Error(w, "Failed to handle webhook", http.StatusInternalServerError)
        return
    }

    w.WriteHeader(http.StatusOK)
}

// Verify webhook signature
func (h *WebhookHandler) verifySignature(body io.Reader, signature string) bool {
    // Implementation of signature verification
    return true // Placeholder
}

5.2.4. Usage Example

// Create webhook client
webhookClient := api.NewWebhookClient(baseClient)

// Create a webhook
webhook, err := webhookClient.CreateWebhook(context.Background(), models.CreateWebhookRequest{
    Type:   models.WebhookTypeEvent,
    URL:    "https://example.com/webhook",
    Secret: "your-secret-key",
    Events: []string{"task.completed", "task.failed"},
    Metadata: map[string]interface{}{
        "environment": "production",
    },
})
if err != nil {
    log.Printf("Failed to create webhook: %v", err)
    return
}

// Create webhook handler
handler := webhook.NewWebhookHandler(webhook.Secret, func(payload []byte) error {
    // Handle webhook payload
    var event models.WebhookEvent
    if err := json.Unmarshal(payload, &event); err != nil {
        return fmt.Errorf("failed to unmarshal payload: %w", err)
    }

    // Process event
    switch event.Type {
    case "task.completed":
        log.Printf("Task completed: %s", event.Data["task_id"])
    case "task.failed":
        log.Printf("Task failed: %s", event.Data["task_id"])
    }

    return nil
})

// Set up HTTP server
http.HandleFunc("/webhook", handler.HandleRequest)
log.Fatal(http.ListenAndServe(":8080", nil))

5.3. Best Practices

  1. Notification Management
  2. Use appropriate notification types
  3. Include relevant metadata
  4. Handle notification lifecycle

  5. Implement read status tracking

  6. Webhook Security

  7. Use secure secrets
  8. Verify signatures
  9. Validate payloads

  10. Handle errors gracefully

  11. Error Handling

  12. Implement retry logic
  13. Log errors properly
  14. Handle timeouts

  15. Validate responses

  16. Testing

  17. Test notification creation
  18. Verify webhook handling
  19. Check error cases
  20. Validate signatures

[Continue with next sections...]

6. Advanced Topics & Considerations

This section covers advanced topics and important considerations when working with the MFO client library.

6.1. Error Handling

6.1.1. Error Types

type ErrorType string

const (
    ErrorTypeValidation   ErrorType = "validation"
    ErrorTypeAuthentication ErrorType = "authentication"
    ErrorTypeAuthorization  ErrorType = "authorization"
    ErrorTypeNotFound      ErrorType = "not_found"
    ErrorTypeConflict      ErrorType = "conflict"
    ErrorTypeInternal      ErrorType = "internal"
)

type Error struct {
    Type    ErrorType `json:"type"`
    Message string    `json:"message"`
    Code    string    `json:"code,omitempty"`
    Details map[string]interface{} `json:"details,omitempty"`
}

6.1.2. Error Handling Strategies

// Retry strategy
type RetryStrategy interface {
    ShouldRetry(err error) bool
    GetBackoff(attempt int) time.Duration
}

// Circuit breaker
type CircuitBreaker interface {
    Execute(fn func() error) error
    IsOpen() bool
    Reset()
}

// Error handler
type ErrorHandler interface {
    HandleError(err error) error
    IsRecoverable(err error) bool
}

6.1.3. Implementation Example

// Custom error handler
type CustomErrorHandler struct {
    logger *log.Logger
    retry  RetryStrategy
    cb     CircuitBreaker
}

func (h *CustomErrorHandler) HandleError(err error) error {
    if !h.IsRecoverable(err) {
        return err
    }

    if h.cb.IsOpen() {
        return fmt.Errorf("circuit breaker is open: %w", err)
    }

    return h.cb.Execute(func() error {
        return h.retryWithBackoff(err)
    })
}

func (h *CustomErrorHandler) IsRecoverable(err error) bool {
    var apiErr *Error
    if errors.As(err, &apiErr) {
        switch apiErr.Type {
        case ErrorTypeValidation, ErrorTypeAuthentication, ErrorTypeAuthorization:
            return false
        case ErrorTypeNotFound, ErrorTypeConflict, ErrorTypeInternal:
            return true
        }
    }
    return false
}

func (h *CustomErrorHandler) retryWithBackoff(err error) error {
    for attempt := 0; attempt < h.retry.GetMaxAttempts(); attempt++ {
        if err := h.retryOperation(); err == nil {
            return nil
        }
        time.Sleep(h.retry.GetBackoff(attempt))
    }
    return err
}

6.2. Concurrency

6.2.1. Worker Pool

type WorkerPool struct {
    workers int
    tasks   chan Task
    wg      sync.WaitGroup
}

func NewWorkerPool(workers int) *WorkerPool {
    return &WorkerPool{
        workers: workers,
        tasks:   make(chan Task),
    }
}

func (p *WorkerPool) Start() {
    for i := 0; i < p.workers; i++ {
        p.wg.Add(1)
        go p.worker()
    }
}

func (p *WorkerPool) worker() {
    defer p.wg.Done()
    for task := range p.tasks {
        task.Execute()
    }
}

func (p *WorkerPool) Submit(task Task) {
    p.tasks <- task
}

func (p *WorkerPool) Stop() {
    close(p.tasks)
    p.wg.Wait()
}

6.2.2. Rate Limiting

type RateLimiter struct {
    rate       float64
    bucketSize float64
    tokens     float64
    lastUpdate time.Time
    mu         sync.Mutex
}

func NewRateLimiter(rate float64, bucketSize float64) *RateLimiter {
    return &RateLimiter{
        rate:       rate,
        bucketSize: bucketSize,
        tokens:     bucketSize,
        lastUpdate: time.Now(),
    }
}

func (l *RateLimiter) Allow() bool {
    l.mu.Lock()
    defer l.mu.Unlock()

    now := time.Now()
    elapsed := now.Sub(l.lastUpdate).Seconds()
    l.tokens = math.Min(l.bucketSize, l.tokens+elapsed*l.rate)
    l.lastUpdate = now

    if l.tokens >= 1 {
        l.tokens--
        return true
    }
    return false
}

6.2.3. Usage Example

// Create worker pool
pool := NewWorkerPool(4)
pool.Start()
defer pool.Stop()

// Create rate limiter
limiter := NewRateLimiter(10, 20) // 10 requests per second, burst of 20

// Submit tasks
for i := 0; i < 100; i++ {
    task := Task{
        ID: fmt.Sprintf("task-%d", i),
        Execute: func() {
            if !limiter.Allow() {
                time.Sleep(100 * time.Millisecond)
            }
            // Execute task
        },
    }
    pool.Submit(task)
}

6.3. Caching

6.3.1. Cache Interface

type Cache interface {
    Get(key string) (interface{}, bool)
    Set(key string, value interface{}, ttl time.Duration)
    Delete(key string)
    Clear()
}

type CacheEntry struct {
    Value      interface{}
    Expiration time.Time
}

6.3.2. In-Memory Cache

type InMemoryCache struct {
    data    map[string]CacheEntry
    mu      sync.RWMutex
    cleanup time.Duration
}

func NewInMemoryCache(cleanup time.Duration) *InMemoryCache {
    cache := &InMemoryCache{
        data:    make(map[string]CacheEntry),
        cleanup: cleanup,
    }
    go cache.cleanupLoop()
    return cache
}

func (c *InMemoryCache) Get(key string) (interface{}, bool) {
    c.mu.RLock()
    defer c.mu.RUnlock()

    entry, exists := c.data[key]
    if !exists {
        return nil, false
    }

    if time.Now().After(entry.Expiration) {
        delete(c.data, key)
        return nil, false
    }

    return entry.Value, true
}

func (c *InMemoryCache) Set(key string, value interface{}, ttl time.Duration) {
    c.mu.Lock()
    defer c.mu.Unlock()

    c.data[key] = CacheEntry{
        Value:      value,
        Expiration: time.Now().Add(ttl),
    }
}

func (c *InMemoryCache) cleanupLoop() {
    ticker := time.NewTicker(c.cleanup)
    defer ticker.Stop()

    for range ticker.C {
        c.cleanupExpired()
    }
}

func (c *InMemoryCache) cleanupExpired() {
    c.mu.Lock()
    defer c.mu.Unlock()

    now := time.Now()
    for key, entry := range c.data {
        if now.After(entry.Expiration) {
            delete(c.data, key)
        }
    }
}

6.3.3. Usage Example

// Create cache
cache := NewInMemoryCache(5 * time.Minute)

// Cache client wrapper
type CachedClient struct {
    client BaseClientInterface
    cache  Cache
}

func (c *CachedClient) GetResource(ctx context.Context, id string) (*models.Resource, error) {
    // Try cache first
    if value, exists := c.cache.Get(id); exists {
        return value.(*models.Resource), nil
    }

    // Get from API
    resource, err := c.client.GetResource(ctx, id)
    if err != nil {
        return nil, err
    }

    // Cache result
    c.cache.Set(id, resource, 5*time.Minute)
    return resource, nil
}

6.4. Best Practices

  1. Error Handling
  2. Use appropriate error types
  3. Implement retry strategies
  4. Use circuit breakers

  5. Log errors properly

  6. Concurrency

  7. Use worker pools
  8. Implement rate limiting
  9. Handle synchronization

  10. Manage resources

  11. Caching

  12. Choose appropriate cache size
  13. Set reasonable TTLs
  14. Handle cache invalidation

  15. Monitor cache performance

  16. Performance

  17. Profile your code
  18. Optimize critical paths
  19. Use appropriate data structures
  20. Monitor resource usage

[Continue with next sections...]

7. Conclusion

This documentation has provided a comprehensive overview of the MFO client library, its features, and best practices for implementation. Here's a summary of the key points covered:

7.1. Key Features

  1. API Client
  2. Robust HTTP client implementation
  3. Authentication and authorization
  4. Error handling and retry logic

  5. Resource management

  6. Taskflow Engine

  7. YAML-based workflow definition
  8. Parallel task execution
  9. Error handling and recovery

  10. Resource management

  11. Prompt Management

  12. Template-based prompts
  13. Variable resolution
  14. Error handling

  15. Version control

  16. Advanced Features

  17. Caching
  18. Rate limiting
  19. Circuit breaking
  20. Concurrency control

7.2. Best Practices

  1. Code Organization
  2. Use appropriate package structure
  3. Follow Go best practices
  4. Implement proper interfaces

  5. Write comprehensive tests

  6. Error Handling

  7. Use custom error types
  8. Implement retry strategies
  9. Handle edge cases

  10. Log errors properly

  11. Performance

  12. Use appropriate caching
  13. Implement rate limiting
  14. Optimize critical paths

  15. Monitor resource usage

  16. Security

  17. Secure authentication
  18. Data encryption
  19. Input validation
  20. Access control

7.3. Future Improvements

  1. Planned Features
  2. Enhanced caching strategies
  3. Improved error handling
  4. Better monitoring

  5. More documentation

  6. Known Limitations

  7. Current caching implementation
  8. Error handling complexity
  9. Performance bottlenecks

  10. Documentation gaps

  11. Contributing

  12. Code style guidelines
  13. Testing requirements
  14. Documentation standards
  15. Review process

7.4. Getting Help

  1. Documentation
  2. API reference
  3. Examples
  4. Best practices

  5. Troubleshooting

  6. Support

  7. GitHub issues
  8. Community forums
  9. Email support

  10. Stack Overflow

  11. Resources

  12. Example code
  13. Tutorials
  14. Blog posts
  15. Videos

7.5. Final Notes

The MFO client library is designed to be flexible, reliable, and easy to use. By following the best practices outlined in this documentation, you can build robust applications that leverage the full power of the MFO platform.

Remember to: - Keep your code up to date - Follow security best practices - Monitor performance - Contribute to the community

Thank you for using the MFO client library. We hope this documentation helps you build great applications!

8. References

This section provides references to additional resources, documentation, and tools that can help you work with the MFO client library.

8.1. API Documentation

  1. REST API
  2. API Reference
  3. Authentication Guide
  4. Rate Limits

  5. Error Codes

  6. WebSocket API

  7. WebSocket Guide
  8. Event Types
  9. Connection Management
  10. Error Handling

8.2. SDK Documentation

  1. Go SDK
  2. Installation Guide
  3. Quick Start
  4. API Reference

  5. Examples

  6. Other Languages

  7. Python SDK
  8. JavaScript SDK
  9. Java SDK
  10. Ruby SDK

8.3. Tools and Utilities

  1. CLI Tools
  2. MFO CLI
  3. Workflow Editor
  4. Prompt Builder

  5. Resource Manager

  6. Development Tools

  7. VS Code Extension
  8. IntelliJ Plugin
  9. Postman Collection
  10. Swagger UI

8.4. Community Resources

  1. Forums and Discussions
  2. GitHub Discussions
  3. Stack Overflow
  4. Reddit Community

  5. Discord Server

  6. Blog and Articles

  7. Official Blog
  8. Tutorials
  9. Case Studies
  10. Release Notes
  1. Open Source
  2. MFO Core
  3. MFO CLI
  4. MFO SDK

  5. MFO Examples

  6. Integrations

  7. Slack Integration
  8. Discord Integration
  9. GitHub Integration
  10. Jira Integration

8.6. Standards and Specifications

  1. API Standards
  2. REST API Guidelines
  3. WebSocket Protocol
  4. Error Handling

  5. Rate Limiting

  6. Security Standards

  7. Authentication
  8. Authorization
  9. Data Encryption
  10. API Keys

8.7. Support and Contact

  1. Support Channels
  2. Email Support
  3. Technical Support
  4. Sales Inquiries

  5. Partnerships

  6. Social Media

  7. Twitter
  8. LinkedIn
  9. GitHub
  10. YouTube
  1. Terms and Policies
  2. Terms of Service
  3. Privacy Policy
  4. Security Policy

  5. Acceptable Use

  6. Licenses

  7. Open Source License
  8. Commercial License
  9. Contributor License
  10. Trademark Policy