langchainrust 0.2.10

A LangChain-inspired framework for building LLM applications in Rust. Supports OpenAI, Agents, Tools, Memory, Chains, RAG, BM25, Hybrid Retrieval, LangGraph, and native Function Calling.
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// src/language_models/ollama/config.rs

use std::env;

#[derive(Debug, Clone)]
pub struct OllamaConfig {
    pub base_url: String,
    pub model: String,
    pub temperature: Option<f32>,
    pub max_tokens: Option<usize>,
    pub top_p: Option<f32>,
    pub streaming: bool,
}

impl Default for OllamaConfig {
    fn default() -> Self {
        Self {
            base_url: "http://localhost:11434/v1".to_string(),
            model: String::new(),
            temperature: None,
            max_tokens: None,
            top_p: None,
            streaming: false,
        }
    }
}

impl OllamaConfig {
    pub fn new(model: impl Into<String>) -> Self {
        Self {
            model: model.into(),
            ..Default::default()
        }
    }

    pub fn from_env() -> Self {
        let base_url =
            env::var("OLLAMA_BASE_URL").unwrap_or_else(|_| "http://localhost:11434/v1".to_string());

        let model = env::var("OLLAMA_MODEL").unwrap_or_else(|_| String::new());

        Self {
            base_url,
            model,
            ..Default::default()
        }
    }

    pub fn with_base_url(mut self, url: impl Into<String>) -> Self {
        self.base_url = url.into();
        self
    }

    pub fn with_model(mut self, model: impl Into<String>) -> Self {
        self.model = model.into();
        self
    }

    pub fn with_temperature(mut self, temp: f32) -> Self {
        self.temperature = Some(temp);
        self
    }

    pub fn with_max_tokens(mut self, max: usize) -> Self {
        self.max_tokens = Some(max);
        self
    }

    pub fn with_streaming(mut self, streaming: bool) -> Self {
        self.streaming = streaming;
        self
    }
}