Struct ChatMessage 

pub struct ChatMessage {
    pub role: Role,
    pub content: String,
    pub name: Option<String>,
    pub tool_calls: Option<Vec<ToolCall>>,
    pub tool_call_id: Option<String>,
}

Fields

role: Role

content: String

name: Option<String>

tool_calls: Option<Vec<ToolCall>>

tool_call_id: Option<String>

Implementations

impl ChatMessage

pub fn system(content: impl Into<String>) -> Self

Examples found in repository

examples/direct_llm_usage.rs (line 67)

async fn simple_call() -> helios_engine::Result<()> {
    // Create configuration
    let llm_config = LLMConfig {
        model_name: "gpt-3.5-turbo".to_string(),
        base_url: "https://api.openai.com/v1".to_string(),
        api_key: std::env::var("OPENAI_API_KEY")
            .unwrap_or_else(|_| "your-api-key-here".to_string()),
        temperature: 0.7,
        max_tokens: 2048,
    };

    // Create client
    let client = LLMClient::new(llm_config);

    // Prepare messages
    let messages = vec![
        ChatMessage::system("You are a helpful assistant that gives concise answers."),
        ChatMessage::user("What is the capital of France? Answer in one sentence."),
    ];

    // Make the call
    println!("Sending request...");
    match client.chat(messages, None).await {
        Ok(response) => {
            println!("✓ Response: {}", response.content);
        }
        Err(e) => {
            println!("✗ Error: {}", e);
            println!("  (Make sure to set OPENAI_API_KEY environment variable)");
        }
    }

    Ok(())
}

pub fn user(content: impl Into<String>) -> Self

Examples found in repository

examples/direct_llm_usage.rs (line 68)

async fn simple_call() -> helios_engine::Result<()> {
    // Create configuration
    let llm_config = LLMConfig {
        model_name: "gpt-3.5-turbo".to_string(),
        base_url: "https://api.openai.com/v1".to_string(),
        api_key: std::env::var("OPENAI_API_KEY")
            .unwrap_or_else(|_| "your-api-key-here".to_string()),
        temperature: 0.7,
        max_tokens: 2048,
    };

    // Create client
    let client = LLMClient::new(llm_config);

    // Prepare messages
    let messages = vec![
        ChatMessage::system("You are a helpful assistant that gives concise answers."),
        ChatMessage::user("What is the capital of France? Answer in one sentence."),
    ];

    // Make the call
    println!("Sending request...");
    match client.chat(messages, None).await {
        Ok(response) => {
            println!("✓ Response: {}", response.content);
        }
        Err(e) => {
            println!("✗ Error: {}", e);
            println!("  (Make sure to set OPENAI_API_KEY environment variable)");
        }
    }

    Ok(())
}

pub fn assistant(content: impl Into<String>) -> Self

pub fn tool(content: impl Into<String>, tool_call_id: impl Into<String>) -> Self

Trait Implementations

impl Clone for ChatMessage

fn clone(&self) -> ChatMessage

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for ChatMessage

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for ChatMessage

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for ChatMessage

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

where __S: Serializer,

Serialize this value into the given Serde serializer.