Struct Config 

pub struct Config {
    pub llm: LLMConfig,
    pub local: Option<LocalConfig>,
}

Fields

llm: LLMConfig

local: Option<LocalConfig>

Implementations

impl Config

pub fn from_file<P: AsRef<Path>>(path: P) -> Result<Self>

Load configuration from a TOML file

Examples found in repository

examples/basic_chat.rs (line 6)

async fn main() -> helios_engine::Result<()> {
    // Load configuration
    let config = Config::from_file("config.toml")?;

    // Create a simple agent
    let mut agent = Agent::builder("BasicAgent")
        .config(config)
        .system_prompt("You are a helpful assistant.")
        .build()
        .await?;

    // Send a message
    let response = agent.chat("Hello! How are you?").await?;
    println!("Agent: {}", response);

    // Continue the conversation
    let response = agent.chat("What can you help me with?").await?;
    println!("Agent: {}", response);

    Ok(())
}

examples/custom_tool.rs (line 67)

async fn main() -> helios_engine::Result<()> {
    // Load configuration
    let config = Config::from_file("config.toml")?;

    // Create an agent with custom tool
    let mut agent = Agent::builder("WeatherAgent")
        .config(config)
        .system_prompt("You are a helpful weather assistant. Use the weather tool to answer questions about weather.")
        .tool(Box::new(WeatherTool))
        .build()
        .await?;

    // Ask about weather
    let response = agent.chat("What's the weather like in New York?").await?;
    println!("Agent: {}\n", response);

    let response = agent.chat("How about in London, but in celsius?").await?;
    println!("Agent: {}\n", response);

    Ok(())
}

examples/agent_with_tools.rs (line 6)

async fn main() -> helios_engine::Result<()> {
    // Load configuration
    let config = Config::from_file("config.toml")?;

    // Create an agent with tools
    let mut agent = Agent::builder("ToolAgent")
        .config(config)
        .system_prompt("You are a helpful assistant with access to tools. Use them when needed.")
        .tool(Box::new(CalculatorTool))
        .tool(Box::new(EchoTool))
        .max_iterations(5)
        .build()
        .await?;

    println!(
        "Available tools: {:?}\n",
        agent.tool_registry().list_tools()
    );

    // Test calculator tool
    let response = agent.chat("What is 25 * 4 + 10?").await?;
    println!("Agent: {}\n", response);

    // Test echo tool
    let response = agent
        .chat("Can you echo this message: 'Hello from Helios!'")
        .await?;
    println!("Agent: {}\n", response);

    Ok(())
}

examples/multiple_agents.rs (line 6)

async fn main() -> helios_engine::Result<()> {
    // Load configuration
    let config = Config::from_file("config.toml")?;

    // Create multiple agents with different personalities
    let mut math_agent = Agent::builder("MathAgent")
        .config(config.clone())
        .system_prompt("You are a math expert. You love numbers and equations.")
        .tool(Box::new(CalculatorTool))
        .build()
        .await?;

    let mut creative_agent = Agent::builder("CreativeAgent")
        .config(config)
        .system_prompt("You are a creative writer who loves storytelling and poetry.")
        .build()
        .await?;

    println!("=== Math Agent ===");
    let response = math_agent.chat("What is the square root of 144?").await?;
    println!("Math Agent: {}\n", response);

    println!("=== Creative Agent ===");
    let response = creative_agent
        .chat("Write a haiku about programming.")
        .await?;
    println!("Creative Agent: {}\n", response);

    Ok(())
}

examples/agent_with_file_tools.rs (line 16)

async fn main() -> helios_engine::Result<()> {
    println!("🚀 Helios Engine - Agent with File Tools Example");
    println!("=================================================\n");

    // Load configuration
    let config = Config::from_file("config.toml").unwrap_or_else(|_| {
        println!("⚠ No config.toml found, using default configuration");
        Config::new_default()
    });

    // Create agent with file tools
    let mut agent = Agent::builder("FileAssistant")
        .config(config)
        .system_prompt(
            "You are a helpful file management assistant. You can search for files, \
             read file contents, and edit files. Always confirm with the user before \
             making changes to files. Keep track of important session information."
        )
        .tool(Box::new(FileSearchTool))
        .tool(Box::new(FileReadTool))
        .tool(Box::new(FileEditTool))
        .tool(Box::new(FileWriteTool))
        .max_iterations(10)
        .build()
        .await?;

    println!("✓ Agent created with file tools");
    println!("✓ Available tools: file_search, file_read, file_edit, file_write\n");

    // Set initial session memory
    agent.set_memory("session_start", chrono::Utc::now().to_rfc3339());
    agent.set_memory("working_directory", std::env::current_dir()?.display().to_string());
    agent.set_memory("tasks_completed", "0");

    // Example 1: Search for Rust files
    println!("Example 1: Searching for Rust files");
    println!("====================================\n");

    let response = agent
        .chat("Find all Rust source files in the src directory")
        .await?;
    println!("Agent: {}\n", response);

    // Update session memory
    agent.increment_tasks_completed();
    agent.set_memory("last_task", "file_search");

    // Example 2: Read a specific file
    println!("\nExample 2: Reading file contents");
    println!("==================================\n");

    let response = agent
        .chat("Read the contents of src/lib.rs and give me a summary")
        .await?;
    println!("Agent: {}\n", response);

    // Update session memory
    agent.increment_tasks_completed();
    agent.set_memory("last_task", "file_read");

    // Example 3: Show session summary
    println!("\nExample 3: Session Summary");
    println!("==========================\n");

    println!("{}", agent.get_session_summary());

    // Example 4: Check session memory
    println!("\nExample 4: Checking Session Memory");
    println!("===================================\n");

    println!("Working directory: {}", agent.get_memory("working_directory").unwrap_or(&"unknown".to_string()));
    println!("Tasks completed: {}", agent.get_memory("tasks_completed").unwrap_or(&"0".to_string()));
    println!("Last task: {}", agent.get_memory("last_task").unwrap_or(&"none".to_string()));

    println!("\n✅ Example completed successfully!");
    println!("\n💡 Key Features Demonstrated:");
    println!("  • File search with pattern matching and content search");
    println!("  • File reading with line range support");
    println!("  • File editing with find/replace functionality");
    println!("  • Session memory for tracking agent state");
    println!("  • Streaming responses (works with both local and remote models)");

    Ok(())
}

examples/agent_with_memory_db.rs (line 16)

async fn main() -> helios_engine::Result<()> {
    println!("🚀 Helios Engine - Agent with Memory DB Example");
    println!("================================================\n");

    // Load configuration
    let config = Config::from_file("config.toml").unwrap_or_else(|_| {
        println!("⚠ No config.toml found, using default configuration");
        Config::new_default()
    });

    // Create agent with memory database tool
    let mut agent = Agent::builder("DataAgent")
        .config(config)
        .system_prompt(
            "You are a helpful assistant with access to an in-memory database. \
             You can store and retrieve information using the memory_db tool. \
             Operations available: set, get, delete, list, clear, exists. \
             Use this to remember important information across our conversation."
        )
        .tool(Box::new(MemoryDBTool::new()))
        .max_iterations(10)
        .build()
        .await?;

    println!("✓ Agent created with memory database tool\n");

    // Example 1: Store user preferences
    println!("Example 1: Storing User Preferences");
    println!("====================================\n");

    let response = agent
        .chat("Store my name as 'Alice' and my favorite color as 'blue' in the database")
        .await?;
    println!("Agent: {}\n", response);

    // Example 2: Retrieve stored data
    println!("\nExample 2: Retrieving Stored Data");
    println!("==================================\n");

    let response = agent
        .chat("What's my name and favorite color?")
        .await?;
    println!("Agent: {}\n", response);

    // Example 3: Store calculations
    println!("\nExample 3: Caching Calculations");
    println!("================================\n");

    let response = agent
        .chat("Calculate 123 * 456 and store the result in the database with key 'calculation_result'")
        .await?;
    println!("Agent: {}\n", response);

    // Example 4: List all stored data
    println!("\nExample 4: Listing All Data");
    println!("===========================\n");

    let response = agent
        .chat("Show me everything stored in the database")
        .await?;
    println!("Agent: {}\n", response);

    // Example 5: Check if key exists
    println!("\nExample 5: Checking Key Existence");
    println!("==================================\n");

    let response = agent
        .chat("Check if 'name' and 'age' exist in the database")
        .await?;
    println!("Agent: {}\n", response);

    // Example 6: Delete specific data
    println!("\nExample 6: Deleting Data");
    println!("========================\n");

    let response = agent
        .chat("Delete the 'calculation_result' from the database")
        .await?;
    println!("Agent: {}\n", response);

    // Example 7: Final state
    println!("\nExample 7: Final Database State");
    println!("================================\n");

    let response = agent
        .chat("List all remaining items in the database")
        .await?;
    println!("Agent: {}\n", response);

    println!("\n✅ Example completed successfully!");
    println!("\n💡 Key Features Demonstrated:");
    println!("  • Setting key-value pairs in memory database");
    println!("  • Retrieving stored values");
    println!("  • Listing all database contents");
    println!("  • Checking key existence");
    println!("  • Deleting specific entries");
    println!("  • Persistent data across multiple agent interactions");
    println!("\n📝 Use Cases:");
    println!("  • Caching expensive computations");
    println!("  • Storing user preferences during conversation");
    println!("  • Maintaining context across multiple queries");
    println!("  • Temporary data storage for complex workflows");

    Ok(())
}

Additional examples can be found in:

• examples/agent_with_rag.rs
• examples/complete_demo.rs

pub fn new_default() -> Self

Create a default configuration

Examples found in repository

examples/agent_with_file_tools.rs (line 18)

async fn main() -> helios_engine::Result<()> {
    println!("🚀 Helios Engine - Agent with File Tools Example");
    println!("=================================================\n");

    // Load configuration
    let config = Config::from_file("config.toml").unwrap_or_else(|_| {
        println!("⚠ No config.toml found, using default configuration");
        Config::new_default()
    });

    // Create agent with file tools
    let mut agent = Agent::builder("FileAssistant")
        .config(config)
        .system_prompt(
            "You are a helpful file management assistant. You can search for files, \
             read file contents, and edit files. Always confirm with the user before \
             making changes to files. Keep track of important session information."
        )
        .tool(Box::new(FileSearchTool))
        .tool(Box::new(FileReadTool))
        .tool(Box::new(FileEditTool))
        .tool(Box::new(FileWriteTool))
        .max_iterations(10)
        .build()
        .await?;

    println!("✓ Agent created with file tools");
    println!("✓ Available tools: file_search, file_read, file_edit, file_write\n");

    // Set initial session memory
    agent.set_memory("session_start", chrono::Utc::now().to_rfc3339());
    agent.set_memory("working_directory", std::env::current_dir()?.display().to_string());
    agent.set_memory("tasks_completed", "0");

    // Example 1: Search for Rust files
    println!("Example 1: Searching for Rust files");
    println!("====================================\n");

    let response = agent
        .chat("Find all Rust source files in the src directory")
        .await?;
    println!("Agent: {}\n", response);

    // Update session memory
    agent.increment_tasks_completed();
    agent.set_memory("last_task", "file_search");

    // Example 2: Read a specific file
    println!("\nExample 2: Reading file contents");
    println!("==================================\n");

    let response = agent
        .chat("Read the contents of src/lib.rs and give me a summary")
        .await?;
    println!("Agent: {}\n", response);

    // Update session memory
    agent.increment_tasks_completed();
    agent.set_memory("last_task", "file_read");

    // Example 3: Show session summary
    println!("\nExample 3: Session Summary");
    println!("==========================\n");

    println!("{}", agent.get_session_summary());

    // Example 4: Check session memory
    println!("\nExample 4: Checking Session Memory");
    println!("===================================\n");

    println!("Working directory: {}", agent.get_memory("working_directory").unwrap_or(&"unknown".to_string()));
    println!("Tasks completed: {}", agent.get_memory("tasks_completed").unwrap_or(&"0".to_string()));
    println!("Last task: {}", agent.get_memory("last_task").unwrap_or(&"none".to_string()));

    println!("\n✅ Example completed successfully!");
    println!("\n💡 Key Features Demonstrated:");
    println!("  • File search with pattern matching and content search");
    println!("  • File reading with line range support");
    println!("  • File editing with find/replace functionality");
    println!("  • Session memory for tracking agent state");
    println!("  • Streaming responses (works with both local and remote models)");

    Ok(())
}

examples/agent_with_memory_db.rs (line 18)

async fn main() -> helios_engine::Result<()> {
    println!("🚀 Helios Engine - Agent with Memory DB Example");
    println!("================================================\n");

    // Load configuration
    let config = Config::from_file("config.toml").unwrap_or_else(|_| {
        println!("⚠ No config.toml found, using default configuration");
        Config::new_default()
    });

    // Create agent with memory database tool
    let mut agent = Agent::builder("DataAgent")
        .config(config)
        .system_prompt(
            "You are a helpful assistant with access to an in-memory database. \
             You can store and retrieve information using the memory_db tool. \
             Operations available: set, get, delete, list, clear, exists. \
             Use this to remember important information across our conversation."
        )
        .tool(Box::new(MemoryDBTool::new()))
        .max_iterations(10)
        .build()
        .await?;

    println!("✓ Agent created with memory database tool\n");

    // Example 1: Store user preferences
    println!("Example 1: Storing User Preferences");
    println!("====================================\n");

    let response = agent
        .chat("Store my name as 'Alice' and my favorite color as 'blue' in the database")
        .await?;
    println!("Agent: {}\n", response);

    // Example 2: Retrieve stored data
    println!("\nExample 2: Retrieving Stored Data");
    println!("==================================\n");

    let response = agent
        .chat("What's my name and favorite color?")
        .await?;
    println!("Agent: {}\n", response);

    // Example 3: Store calculations
    println!("\nExample 3: Caching Calculations");
    println!("================================\n");

    let response = agent
        .chat("Calculate 123 * 456 and store the result in the database with key 'calculation_result'")
        .await?;
    println!("Agent: {}\n", response);

    // Example 4: List all stored data
    println!("\nExample 4: Listing All Data");
    println!("===========================\n");

    let response = agent
        .chat("Show me everything stored in the database")
        .await?;
    println!("Agent: {}\n", response);

    // Example 5: Check if key exists
    println!("\nExample 5: Checking Key Existence");
    println!("==================================\n");

    let response = agent
        .chat("Check if 'name' and 'age' exist in the database")
        .await?;
    println!("Agent: {}\n", response);

    // Example 6: Delete specific data
    println!("\nExample 6: Deleting Data");
    println!("========================\n");

    let response = agent
        .chat("Delete the 'calculation_result' from the database")
        .await?;
    println!("Agent: {}\n", response);

    // Example 7: Final state
    println!("\nExample 7: Final Database State");
    println!("================================\n");

    let response = agent
        .chat("List all remaining items in the database")
        .await?;
    println!("Agent: {}\n", response);

    println!("\n✅ Example completed successfully!");
    println!("\n💡 Key Features Demonstrated:");
    println!("  • Setting key-value pairs in memory database");
    println!("  • Retrieving stored values");
    println!("  • Listing all database contents");
    println!("  • Checking key existence");
    println!("  • Deleting specific entries");
    println!("  • Persistent data across multiple agent interactions");
    println!("\n📝 Use Cases:");
    println!("  • Caching expensive computations");
    println!("  • Storing user preferences during conversation");
    println!("  • Maintaining context across multiple queries");
    println!("  • Temporary data storage for complex workflows");

    Ok(())
}

examples/agent_with_rag.rs (line 29)

async fn main() -> helios_engine::Result<()> {
    println!("🚀 Helios Engine - Agent with RAG Example");
    println!("==========================================\n");

    // Check for required environment variables
    let embedding_api_key = std::env::var("OPENAI_API_KEY")
        .unwrap_or_else(|_| {
            println!("⚠ Warning: OPENAI_API_KEY not set. Using placeholder.");
            "your-api-key-here".to_string()
        });

    // Load configuration
    let config = Config::from_file("config.toml").unwrap_or_else(|_| {
        println!("⚠ No config.toml found, using default configuration");
        Config::new_default()
    });

    // Create RAG tool with Qdrant backend
    let rag_tool = QdrantRAGTool::new(
        "http://localhost:6333",           // Qdrant URL
        "helios_knowledge",                 // Collection name
        "https://api.openai.com/v1/embeddings", // Embedding API
        embedding_api_key,                  // API key
    );

    // Create agent with RAG tool
    let mut agent = Agent::builder("KnowledgeAgent")
        .config(config)
        .system_prompt(
            "You are a helpful assistant with access to a RAG (Retrieval-Augmented Generation) system. \
             You can store documents and retrieve relevant information to answer questions. \
             When answering questions, first search for relevant documents, then provide informed answers based on the retrieved context."
        )
        .tool(Box::new(rag_tool))
        .max_iterations(10)
        .build()
        .await?;

    println!("✓ Agent created with RAG capabilities\n");

    // Example 1: Add knowledge to the database
    println!("Example 1: Adding Documents to Knowledge Base");
    println!("==============================================\n");

    let response = agent
        .chat(
            "Store this information: Rust is a systems programming language that runs blazingly fast, \
             prevents segfaults, and guarantees thread safety. It was created by Mozilla Research."
        )
        .await?;
    println!("Agent: {}\n", response);

    let response = agent
        .chat(
            "Store this: Python is a high-level, interpreted programming language known for its \
             clear syntax and readability. It was created by Guido van Rossum in 1991."
        )
        .await?;
    println!("Agent: {}\n", response);

    let response = agent
        .chat(
            "Store this: JavaScript is a programming language commonly used for web development. \
             It allows developers to create interactive web pages and runs in web browsers."
        )
        .await?;
    println!("Agent: {}\n", response);

    // Example 2: Semantic search - ask questions
    println!("\nExample 2: Semantic Search and Q&A");
    println!("===================================\n");

    let response = agent
        .chat("What programming language is known for preventing segfaults?")
        .await?;
    println!("Agent: {}\n", response);

    let response = agent
        .chat("Tell me about the programming language created in 1991")
        .await?;
    println!("Agent: {}\n", response);

    // Example 3: Multi-document retrieval
    println!("\nExample 3: Multi-Document Retrieval");
    println!("====================================\n");

    let response = agent
        .chat("Search for information about programming languages and summarize what you find")
        .await?;
    println!("Agent: {}\n", response);

    // Example 4: Adding documents with metadata
    println!("\nExample 4: Documents with Metadata");
    println!("===================================\n");

    let response = agent
        .chat(
            "Store this with metadata: \
             The Helios Engine is a Rust framework for building LLM agents. \
             Metadata: category=framework, language=rust, year=2024"
        )
        .await?;
    println!("Agent: {}\n", response);

    println!("\n✅ Example completed successfully!");
    println!("\n💡 Key Features Demonstrated:");
    println!("  • Document embedding with OpenAI embeddings");
    println!("  • Vector storage in Qdrant database");
    println!("  • Semantic search with cosine similarity");
    println!("  • RAG workflow for context-aware answers");
    println!("  • Metadata support for document organization");
    
    println!("\n📝 RAG Use Cases:");
    println!("  • Question answering over custom knowledge bases");
    println!("  • Document search and retrieval");
    println!("  • Building chatbots with domain-specific knowledge");
    println!("  • Information extraction from large document sets");
    
    println!("\n🔧 Setup Instructions:");
    println!("  1. Start Qdrant: docker run -p 6333:6333 qdrant/qdrant");
    println!("  2. Set API key: export OPENAI_API_KEY=your-key");
    println!("  3. Run example: cargo run --example agent_with_rag");

    Ok(())
}

examples/complete_demo.rs (line 19)

async fn main() -> helios_engine::Result<()> {
    println!("🚀 Helios Engine - Complete Feature Demo");
    println!("=========================================\n");

    // Load configuration
    let config = Config::from_file("config.toml").unwrap_or_else(|_| {
        println!("⚠ No config.toml found, using default configuration");
        Config::new_default()
    });

    // Create agent with all file tools
    println!("📦 Creating agent with file tools...");
    let mut agent = Agent::builder("SmartAssistant")
        .config(config)
        .system_prompt(
            "You are an intelligent assistant with file management capabilities. \
             You can search files, read them, and make edits. Always explain what \
             you're doing and track important information in session memory."
        )
        .tool(Box::new(FileSearchTool))
        .tool(Box::new(FileReadTool))
        .tool(Box::new(FileEditTool))
        .tool(Box::new(FileWriteTool))
        .max_iterations(10)
        .build()
        .await?;

    println!("✓ Agent created successfully!\n");

    // Initialize session memory
    println!("🧠 Initializing session memory...");
    agent.set_memory("session_start", chrono::Utc::now().to_rfc3339());
    agent.set_memory("working_directory", std::env::current_dir()?.display().to_string());
    agent.set_memory("files_accessed", "0");
    agent.set_memory("edits_made", "0");
    println!("✓ Session memory initialized\n");

    // Demo 1: Search for files with streaming response
    println!("Demo 1: File Search with Streaming");
    println!("===================================");
    println!("User: Find all Rust example files\n");
    
    print!("Agent: ");
    io::stdout().flush()?;

    let response1 = agent.chat("Find all Rust example files in the examples directory").await?;
    println!("{}\n", response1);

    // Update memory
    agent.increment_counter("files_accessed");
    agent.set_memory("last_action", "file_search");

    // Demo 2: Read a file
    println!("\nDemo 2: Reading File Contents");
    println!("==============================");
    println!("User: Read the NEW_FEATURES.md file and summarize the key points\n");
    
    print!("Agent: ");
    io::stdout().flush()?;

    let response2 = agent.chat("Read the NEW_FEATURES.md file and give me a brief summary of what's new").await?;
    println!("{}\n", response2);

    // Update memory
    agent.increment_counter("files_accessed");
    agent.set_memory("last_action", "file_read");

    // Demo 3: Show session summary
    println!("\nDemo 3: Session Summary");
    println!("=======================\n");
    println!("{}", agent.get_session_summary());

    // Demo 4: Interactive mode
    println!("\n\nDemo 4: Interactive Mode");
    println!("========================");
    println!("You can now interact with the agent. Type 'exit' to quit.\n");

    loop {
        print!("\nYou: ");
        io::stdout().flush()?;

        let mut input = String::new();
        io::stdin().read_line(&mut input)?;
        let input = input.trim();

        if input.is_empty() {
            continue;
        }

        match input.to_lowercase().as_str() {
            "exit" | "quit" => {
                println!("\n👋 Goodbye!");
                break;
            }
            "summary" => {
                println!("\n📊 Session Summary:");
                println!("{}", agent.get_session_summary());
                continue;
            }
            "memory" => {
                println!("\n🧠 Session Memory:");
                if let Some(start) = agent.get_memory("session_start") {
                    println!("  Session started: {}", start);
                }
                if let Some(dir) = agent.get_memory("working_directory") {
                    println!("  Working directory: {}", dir);
                }
                if let Some(files) = agent.get_memory("files_accessed") {
                    println!("  Files accessed: {}", files);
                }
                if let Some(edits) = agent.get_memory("edits_made") {
                    println!("  Edits made: {}", edits);
                }
                if let Some(action) = agent.get_memory("last_action") {
                    println!("  Last action: {}", action);
                }
                continue;
            }
            "help" => {
                println!("\n📖 Available Commands:");
                println!("  exit, quit  - Exit the demo");
                println!("  summary     - Show session summary");
                println!("  memory      - Show session memory");
                println!("  help        - Show this help");
                println!("\n💡 Try asking the agent to:");
                println!("  • Search for specific files");
                println!("  • Read file contents");
                println!("  • Summarize what it has done");
                continue;
            }
            _ => {}
        }

        // Send message to agent with streaming
        print!("\nAgent: ");
        io::stdout().flush()?;

        match agent.chat(input).await {
            Ok(response) => {
                println!("{}", response);
                
                // Update memory after each interaction
                agent.increment_counter("files_accessed");
            }
            Err(e) => {
                eprintln!("\n❌ Error: {}", e);
            }
        }
    }

    // Final summary
    println!("\n📊 Final Session Summary:");
    println!("{}", agent.get_session_summary());

    println!("\n✅ Demo completed successfully!");
    println!("\n💡 Features Demonstrated:");
    println!("  ✓ Streaming responses (local/remote models)");
    println!("  ✓ File search with pattern matching");
    println!("  ✓ File reading with summaries");
    println!("  ✓ Session memory tracking");
    println!("  ✓ Interactive conversation");
    println!("  ✓ Real-time progress updates");

    Ok(())
}

pub fn save<P: AsRef<Path>>(&self, path: P) -> Result<()>

Save configuration to a TOML file

Trait Implementations

impl Clone for Config

fn clone(&self) -> Config

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for Config

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for Config

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for Config

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.