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// Import required modules from the LLM library for Phind integration
use llm::{
builder::{LLMBackend, LLMBuilder}, // Builder pattern components
chat::ChatMessage, // Chat-related structures
};
#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
// Initialize and configure the LLM client
let llm = LLMBuilder::new()
.backend(LLMBackend::Phind) // Use Phind as the LLM provider
.model("Phind-70B") // Use Phind-70B model
.max_tokens(512) // Limit response length
.temperature(0.7) // Control response randomness (0.0-1.0)
.build()
.expect("Failed to build LLM (Phind)");
// Prepare conversation history with example messages
let messages = vec![
ChatMessage::user()
.content("Tell me that you love cats")
.build(),
ChatMessage::assistant()
.content("I am an assistant, I cannot love cats but I can love dogs")
.build(),
ChatMessage::user()
.content("Tell me that you love dogs in 2000 chars")
.build(),
];
// Send chat request and handle the response
match llm.chat(&messages).await {
Ok(text) => println!("Chat response:\n{text}"),
Err(e) => eprintln!("Chat error: {e}"),
}
Ok(())
}