rig/providers/
moonshot.rs1use crate::client::{CompletionClient, ProviderClient};
13use crate::json_utils::merge;
14use crate::providers::openai::send_compatible_streaming_request;
15use crate::streaming::StreamingCompletionResponse;
16use crate::{
17 completion::{self, CompletionError, CompletionRequest},
18 json_utils,
19 providers::openai,
20};
21use crate::{impl_conversion_traits, message};
22use serde::Deserialize;
23use serde_json::{Value, json};
24
25const MOONSHOT_API_BASE_URL: &str = "https://api.moonshot.cn/v1";
29
30#[derive(Clone)]
31pub struct Client {
32 base_url: String,
33 api_key: String,
34 http_client: reqwest::Client,
35}
36
37impl std::fmt::Debug for Client {
38 fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
39 f.debug_struct("Client")
40 .field("base_url", &self.base_url)
41 .field("http_client", &self.http_client)
42 .field("api_key", &"<REDACTED>")
43 .finish()
44 }
45}
46
47impl Client {
48 pub fn new(api_key: &str) -> Self {
50 Self::from_url(api_key, MOONSHOT_API_BASE_URL)
51 }
52
53 pub fn from_url(api_key: &str, base_url: &str) -> Self {
55 Self {
56 base_url: base_url.to_string(),
57 api_key: api_key.to_string(),
58 http_client: reqwest::Client::builder()
59 .build()
60 .expect("Moonshot reqwest client should build"),
61 }
62 }
63
64 pub fn with_custom_client(mut self, client: reqwest::Client) -> Self {
67 self.http_client = client;
68
69 self
70 }
71
72 fn post(&self, path: &str) -> reqwest::RequestBuilder {
73 let url = format!("{}/{}", self.base_url, path).replace("//", "/");
74 self.http_client.post(url).bearer_auth(&self.api_key)
75 }
76}
77
78impl ProviderClient for Client {
79 fn from_env() -> Self {
82 let api_key = std::env::var("MOONSHOT_API_KEY").expect("MOONSHOT_API_KEY not set");
83 Self::new(&api_key)
84 }
85}
86
87impl CompletionClient for Client {
88 type CompletionModel = CompletionModel;
89
90 fn completion_model(&self, model: &str) -> CompletionModel {
102 CompletionModel::new(self.clone(), model)
103 }
104}
105
106impl_conversion_traits!(
107 AsEmbeddings,
108 AsTranscription,
109 AsImageGeneration,
110 AsAudioGeneration for Client
111);
112
113#[derive(Debug, Deserialize)]
114struct ApiErrorResponse {
115 error: MoonshotError,
116}
117
118#[derive(Debug, Deserialize)]
119struct MoonshotError {
120 message: String,
121}
122
123#[derive(Debug, Deserialize)]
124#[serde(untagged)]
125enum ApiResponse<T> {
126 Ok(T),
127 Err(ApiErrorResponse),
128}
129
130pub const MOONSHOT_CHAT: &str = "moonshot-v1-128k";
134
135#[derive(Clone)]
136pub struct CompletionModel {
137 client: Client,
138 pub model: String,
139}
140
141impl CompletionModel {
142 pub fn new(client: Client, model: &str) -> Self {
143 Self {
144 client,
145 model: model.to_string(),
146 }
147 }
148
149 fn create_completion_request(
150 &self,
151 completion_request: CompletionRequest,
152 ) -> Result<Value, CompletionError> {
153 let mut partial_history = vec![];
155 if let Some(docs) = completion_request.normalized_documents() {
156 partial_history.push(docs);
157 }
158 partial_history.extend(completion_request.chat_history);
159
160 let mut full_history: Vec<openai::Message> = completion_request
162 .preamble
163 .map_or_else(Vec::new, |preamble| {
164 vec![openai::Message::system(&preamble)]
165 });
166
167 full_history.extend(
169 partial_history
170 .into_iter()
171 .map(message::Message::try_into)
172 .collect::<Result<Vec<Vec<openai::Message>>, _>>()?
173 .into_iter()
174 .flatten()
175 .collect::<Vec<_>>(),
176 );
177
178 let request = if completion_request.tools.is_empty() {
179 json!({
180 "model": self.model,
181 "messages": full_history,
182 "temperature": completion_request.temperature,
183 })
184 } else {
185 json!({
186 "model": self.model,
187 "messages": full_history,
188 "temperature": completion_request.temperature,
189 "tools": completion_request.tools.into_iter().map(openai::ToolDefinition::from).collect::<Vec<_>>(),
190 "tool_choice": "auto",
191 })
192 };
193
194 let request = if let Some(params) = completion_request.additional_params {
195 json_utils::merge(request, params)
196 } else {
197 request
198 };
199
200 Ok(request)
201 }
202}
203
204impl completion::CompletionModel for CompletionModel {
205 type Response = openai::CompletionResponse;
206 type StreamingResponse = openai::StreamingCompletionResponse;
207
208 #[cfg_attr(feature = "worker", worker::send)]
209 async fn completion(
210 &self,
211 completion_request: CompletionRequest,
212 ) -> Result<completion::CompletionResponse<openai::CompletionResponse>, CompletionError> {
213 let request = self.create_completion_request(completion_request)?;
214
215 let response = self
216 .client
217 .post("/chat/completions")
218 .json(&request)
219 .send()
220 .await?;
221
222 if response.status().is_success() {
223 let t = response.text().await?;
224 tracing::debug!(target: "rig", "MoonShot completion error: {}", t);
225
226 match serde_json::from_str::<ApiResponse<openai::CompletionResponse>>(&t)? {
227 ApiResponse::Ok(response) => {
228 tracing::info!(target: "rig",
229 "MoonShot completion token usage: {:?}",
230 response.usage.clone().map(|usage| format!("{usage}")).unwrap_or("N/A".to_string())
231 );
232 response.try_into()
233 }
234 ApiResponse::Err(err) => Err(CompletionError::ProviderError(err.error.message)),
235 }
236 } else {
237 Err(CompletionError::ProviderError(response.text().await?))
238 }
239 }
240
241 #[cfg_attr(feature = "worker", worker::send)]
242 async fn stream(
243 &self,
244 request: CompletionRequest,
245 ) -> Result<StreamingCompletionResponse<Self::StreamingResponse>, CompletionError> {
246 let mut request = self.create_completion_request(request)?;
247
248 request = merge(
249 request,
250 json!({"stream": true, "stream_options": {"include_usage": true}}),
251 );
252
253 let builder = self.client.post("/chat/completions").json(&request);
254
255 send_compatible_streaming_request(builder).await
256 }
257}