llm/providers/local/
ollama.rs1#![doc = include_str!(concat!(env!("OUT_DIR"), "/docs/ollama.md"))]
2
3use super::util::get_local_config;
4use crate::providers::openai::OpenAiChatProvider;
5use crate::{ProviderConnectionConfig, ProviderFactory, Result};
6use async_openai::{Client, config::OpenAIConfig};
7
8pub struct OllamaProvider {
9 model: String,
10 client: Client<OpenAIConfig>,
11}
12
13impl OllamaProvider {
14 pub fn new(model: &str, base_url: &str) -> Self {
15 Self { model: model.to_string(), client: Client::with_config(get_local_config(base_url)) }
16 }
17
18 pub fn default(model: &str) -> Self {
19 Self { model: model.to_string(), client: Client::with_config(get_local_config("http://localhost:11434/v1")) }
20 }
21}
22
23impl ProviderFactory for OllamaProvider {
24 async fn from_env() -> Result<Self> {
25 Self::from_env_with_connection(ProviderConnectionConfig::default()).await
26 }
27
28 async fn from_env_with_connection(connection: ProviderConnectionConfig) -> Result<Self> {
29 let base_url = connection.base_url.as_deref().unwrap_or("http://localhost:11434/v1");
30 Ok(Self { model: String::new(), client: Client::with_config(get_local_config(base_url)) })
31 }
32
33 fn with_model(mut self, model: &str) -> Self {
34 self.model = model.to_string();
35 self
36 }
37}
38
39impl OpenAiChatProvider for OllamaProvider {
40 type Config = OpenAIConfig;
41
42 fn client(&self) -> &Client<Self::Config> {
43 &self.client
44 }
45
46 fn model(&self) -> &str {
47 &self.model
48 }
49
50 fn provider_name(&self) -> &'static str {
51 "Ollama"
52 }
53}