1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
//! Minimal LLM Client
//!
//! This client provides a simple interface to use any of the 4 supported protocols.
//! No complex configuration, just pick a protocol and start chatting.
use std::sync::Arc;
use crate::error::LlmConnectorError;
use crate::protocols::{GenericProvider, OpenAIProtocol, AnthropicProtocol, AliyunProtocol, OllamaProtocol};
use crate::config::ProviderConfig;
use crate::types::{ChatRequest, ChatResponse};
/// Minimal LLM Client
///
/// Supports 4 protocols: OpenAI, Anthropic, Aliyun, Ollama
/// No complex configuration needed - just pick a protocol and start.
pub struct LlmClient {
provider: Arc<dyn crate::protocols::Provider + Send + Sync>,
}
impl LlmClient {
/// Create new client with OpenAI protocol
///
/// ```rust
/// use llm_connector::LlmClient;
///
/// let client = LlmClient::openai("sk-...");
/// ```
pub fn openai(api_key: &str) -> Self {
let protocol = OpenAIProtocol::new(api_key);
let config = ProviderConfig::new(api_key)
.with_base_url("https://api.openai.com/v1");
let provider = GenericProvider::new(config, protocol)
.expect("Failed to create OpenAI provider");
Self {
provider: Arc::new(provider),
}
}
/// Create new client with OpenAI-compatible protocol
///
/// Use this for OpenAI-compatible endpoints with custom base URLs.
///
/// ```rust
/// use llm_connector::LlmClient;
///
/// let client = LlmClient::openai_compatible(
/// "sk-...",
/// "https://api.example.com/v1"
/// );
/// ```
pub fn openai_compatible(api_key: &str, base_url: &str) -> Self {
let protocol = OpenAIProtocol::with_url(api_key, base_url);
let config = ProviderConfig::new(api_key)
.with_base_url(base_url);
let provider = GenericProvider::new(config, protocol)
.expect("Failed to create OpenAI-compatible provider");
Self {
provider: Arc::new(provider),
}
}
/// Create new client with Anthropic protocol
///
/// ```rust
/// use llm_connector::LlmClient;
///
/// let client = LlmClient::anthropic("sk-ant-...");
/// ```
pub fn anthropic(api_key: &str) -> Self {
let protocol = AnthropicProtocol::new(api_key);
let config = ProviderConfig::new(api_key)
.with_base_url("https://api.anthropic.com");
let provider = GenericProvider::new(config, protocol)
.expect("Failed to create Anthropic provider");
Self {
provider: Arc::new(provider),
}
}
/// Create new client with Aliyun protocol
///
/// ```rust
/// use llm_connector::LlmClient;
///
/// let client = LlmClient::aliyun("sk-...");
/// ```
pub fn aliyun(api_key: &str) -> Self {
let protocol = AliyunProtocol::new(api_key);
let config = ProviderConfig::new(api_key)
.with_base_url("https://dashscope.aliyuncs.com/api/v1/services/aigc/text-generation/generation");
let provider = GenericProvider::new(config, protocol)
.expect("Failed to create Aliyun provider");
Self {
provider: Arc::new(provider),
}
}
/// Create new client with Ollama protocol (local)
///
/// No API key needed for local Ollama.
///
/// ```rust
/// use llm_connector::LlmClient;
///
/// // Default: localhost:11434
/// let client = LlmClient::ollama();
///
/// // Custom URL
/// let client = LlmClient::ollama_at("http://192.168.1.100:11434");
/// ```
pub fn ollama() -> Self {
let protocol = OllamaProtocol::new();
let config = ProviderConfig::new("") // Ollama doesn't need API key
.with_base_url("http://localhost:11434");
let provider = GenericProvider::new(config, protocol)
.expect("Failed to create Ollama provider");
Self {
provider: Arc::new(provider),
}
}
/// Create new client with Ollama protocol at custom URL
pub fn ollama_at(base_url: &str) -> Self {
let protocol = OllamaProtocol::with_url(base_url);
let config = ProviderConfig::new("") // Ollama doesn't need API key
.with_base_url(base_url);
let provider = GenericProvider::new(config, protocol)
.expect("Failed to create Ollama provider");
Self {
provider: Arc::new(provider),
}
}
/// Send a chat completion request
///
/// ```rust
/// use llm_connector::{LlmClient, types::{ChatRequest, Message}};
///
/// let client = LlmClient::openai("sk-...");
/// let request = ChatRequest {
/// model: "gpt-4".to_string(),
/// messages: vec![Message::user("Hello!")],
/// ..Default::default()
/// };
///
/// let response = client.chat(&request).await?;
/// println!("Response: {}", response.choices[0].message.content);
/// ```
pub async fn chat(&self, request: &ChatRequest) -> Result<ChatResponse, LlmConnectorError> {
self.provider.chat(request).await
}
/// Send a streaming chat completion request
///
/// Requires the "streaming" feature to be enabled.
#[cfg(feature = "streaming")]
pub async fn chat_stream(&self, request: &ChatRequest) -> Result<crate::types::ChatStream, LlmConnectorError> {
self.provider.chat_stream(request).await
}
/// Fetch available models from the API (online)
///
/// This makes an API call to retrieve the list of available models.
/// Returns an error if the provider doesn't support model listing or if the API call fails.
///
/// # Example
/// ```rust,no_run
/// use llm_connector::LlmClient;
///
/// # async fn example() -> Result<(), Box<dyn std::error::Error>> {
/// let client = LlmClient::openai("sk-...");
/// let models = client.fetch_models().await?;
/// println!("Available models: {:?}", models);
/// # Ok(())
/// # }
/// ```
pub async fn fetch_models(&self) -> Result<Vec<String>, LlmConnectorError> {
self.provider.fetch_models().await
}
/// Get protocol name
pub fn protocol_name(&self) -> &str {
self.provider.name()
}
// ============================================================================
// Ollama Model Management Methods
// ============================================================================
/// List all available Ollama models
///
/// Only works with Ollama protocol clients.
///
/// ```rust
/// use llm_connector::LlmClient;
///
/// let client = LlmClient::ollama();
/// let models = client.list_ollama_models().await?;
/// for model in models {
/// println!("Model: {}", model);
/// }
/// ```
pub async fn list_ollama_models(&self) -> Result<Vec<String>, LlmConnectorError> {
if self.provider.name() != "ollama" {
return Err(LlmConnectorError::UnsupportedOperation(
"Model management is only supported for Ollama protocol".to_string()
));
}
// We need to access the OllamaProtocol directly
// This is a bit of a hack due to the trait abstraction
// In a real implementation, we might want to add these methods to the Provider trait
if let Some(ollama_provider) = self.provider.as_any().downcast_ref::<crate::protocols::core::GenericProvider<crate::protocols::ollama::OllamaProtocol>>() {
let client = reqwest::Client::new();
ollama_provider.adapter().list_models(&client).await
} else {
Err(LlmConnectorError::UnsupportedOperation(
"Failed to access Ollama protocol".to_string()
))
}
}
/// Pull a model from Ollama registry
///
/// Only works with Ollama protocol clients.
///
/// ```rust
/// use llm_connector::LlmClient;
///
/// let client = LlmClient::ollama();
/// client.pull_ollama_model("llama3.2").await?;
/// println!("Model pulled successfully!");
/// ```
pub async fn pull_ollama_model(&self, model_name: &str) -> Result<(), LlmConnectorError> {
if self.provider.name() != "ollama" {
return Err(LlmConnectorError::UnsupportedOperation(
"Model management is only supported for Ollama protocol".to_string()
));
}
if let Some(ollama_provider) = self.provider.as_any().downcast_ref::<crate::protocols::core::GenericProvider<crate::protocols::ollama::OllamaProtocol>>() {
let client = reqwest::Client::new();
ollama_provider.adapter().pull_model(&client, model_name).await
} else {
Err(LlmConnectorError::UnsupportedOperation(
"Failed to access Ollama protocol".to_string()
))
}
}
/// Push a model to Ollama registry
///
/// Only works with Ollama protocol clients.
pub async fn push_ollama_model(&self, model_name: &str) -> Result<(), LlmConnectorError> {
if self.provider.name() != "ollama" {
return Err(LlmConnectorError::UnsupportedOperation(
"Model management is only supported for Ollama protocol".to_string()
));
}
if let Some(ollama_provider) = self.provider.as_any().downcast_ref::<crate::protocols::core::GenericProvider<crate::protocols::ollama::OllamaProtocol>>() {
let client = reqwest::Client::new();
ollama_provider.adapter().push_model(&client, model_name).await
} else {
Err(LlmConnectorError::UnsupportedOperation(
"Failed to access Ollama protocol".to_string()
))
}
}
/// Delete a model from Ollama
///
/// Only works with Ollama protocol clients.
///
/// ```rust
/// use llm_connector::LlmClient;
///
/// let client = LlmClient::ollama();
/// client.delete_ollama_model("llama3.2").await?;
/// println!("Model deleted successfully!");
/// ```
pub async fn delete_ollama_model(&self, model_name: &str) -> Result<(), LlmConnectorError> {
if self.provider.name() != "ollama" {
return Err(LlmConnectorError::UnsupportedOperation(
"Model management is only supported for Ollama protocol".to_string()
));
}
if let Some(ollama_provider) = self.provider.as_any().downcast_ref::<crate::protocols::core::GenericProvider<crate::protocols::ollama::OllamaProtocol>>() {
let client = reqwest::Client::new();
ollama_provider.adapter().delete_model(&client, model_name).await
} else {
Err(LlmConnectorError::UnsupportedOperation(
"Failed to access Ollama protocol".to_string()
))
}
}
/// Get detailed information about an Ollama model
///
/// Only works with Ollama protocol clients.
pub async fn show_ollama_model(&self, model_name: &str) -> Result<crate::protocols::ollama::OllamaModel, LlmConnectorError> {
if self.provider.name() != "ollama" {
return Err(LlmConnectorError::UnsupportedOperation(
"Model management is only supported for Ollama protocol".to_string()
));
}
if let Some(ollama_provider) = self.provider.as_any().downcast_ref::<crate::protocols::core::GenericProvider<crate::protocols::ollama::OllamaProtocol>>() {
let client = reqwest::Client::new();
ollama_provider.adapter().show_model(&client, model_name).await
} else {
Err(LlmConnectorError::UnsupportedOperation(
"Failed to access Ollama protocol".to_string()
))
}
}
}
#[cfg(test)]
mod tests {
use super::*;
#[tokio::test]
async fn test_client_creation() {
// Test all protocol creation methods
let _openai = LlmClient::openai("test-key");
let _anthropic = LlmClient::anthropic("test-key");
let _aliyun = LlmClient::aliyun("test-key");
let _ollama = LlmClient::ollama();
}
#[test]
fn test_protocol_names() {
let openai_client = LlmClient::openai("test-key");
assert_eq!(openai_client.protocol_name(), "openai");
let anthropic_client = LlmClient::anthropic("test-key");
assert_eq!(anthropic_client.protocol_name(), "anthropic");
let aliyun_client = LlmClient::aliyun("test-key");
assert_eq!(aliyun_client.protocol_name(), "aliyun");
let ollama_client = LlmClient::ollama();
assert_eq!(ollama_client.protocol_name(), "ollama");
}
}