1use crate::{
2 AuthenticateError, LanguageModel, LanguageModelCompletionEvent, LanguageModelId,
3 LanguageModelName, LanguageModelProvider, LanguageModelProviderId, LanguageModelProviderName,
4 LanguageModelProviderState, LanguageModelRequest,
5};
6use futures::{channel::mpsc, future::BoxFuture, stream::BoxStream, FutureExt, StreamExt};
7use gpui::{AnyView, App, AsyncApp, Entity, Task, Window};
8use http_client::Result;
9use parking_lot::Mutex;
10use serde::Serialize;
11use std::sync::Arc;
12
13pub fn language_model_id() -> LanguageModelId {
14 LanguageModelId::from("fake".to_string())
15}
16
17pub fn language_model_name() -> LanguageModelName {
18 LanguageModelName::from("Fake".to_string())
19}
20
21pub fn provider_id() -> LanguageModelProviderId {
22 LanguageModelProviderId::from("fake".to_string())
23}
24
25pub fn provider_name() -> LanguageModelProviderName {
26 LanguageModelProviderName::from("Fake".to_string())
27}
28
29#[derive(Clone, Default)]
30pub struct FakeLanguageModelProvider;
31
32impl LanguageModelProviderState for FakeLanguageModelProvider {
33 type ObservableEntity = ();
34
35 fn observable_entity(&self) -> Option<Entity<Self::ObservableEntity>> {
36 None
37 }
38}
39
40impl LanguageModelProvider for FakeLanguageModelProvider {
41 fn id(&self) -> LanguageModelProviderId {
42 provider_id()
43 }
44
45 fn name(&self) -> LanguageModelProviderName {
46 provider_name()
47 }
48
49 fn provided_models(&self, _: &App) -> Vec<Arc<dyn LanguageModel>> {
50 vec![Arc::new(FakeLanguageModel::default())]
51 }
52
53 fn is_authenticated(&self, _: &App) -> bool {
54 true
55 }
56
57 fn authenticate(&self, _: &mut App) -> Task<Result<(), AuthenticateError>> {
58 Task::ready(Ok(()))
59 }
60
61 fn configuration_view(&self, _window: &mut Window, _: &mut App) -> AnyView {
62 unimplemented!()
63 }
64
65 fn reset_credentials(&self, _: &mut App) -> Task<Result<()>> {
66 Task::ready(Ok(()))
67 }
68}
69
70impl FakeLanguageModelProvider {
71 pub fn test_model(&self) -> FakeLanguageModel {
72 FakeLanguageModel::default()
73 }
74}
75
76#[derive(Debug, PartialEq)]
77pub struct ToolUseRequest {
78 pub request: LanguageModelRequest,
79 pub name: String,
80 pub description: String,
81 pub schema: serde_json::Value,
82}
83
84#[derive(Default)]
85pub struct FakeLanguageModel {
86 current_completion_txs: Mutex<Vec<(LanguageModelRequest, mpsc::UnboundedSender<String>)>>,
87 current_tool_use_txs: Mutex<Vec<(ToolUseRequest, mpsc::UnboundedSender<String>)>>,
88}
89
90impl FakeLanguageModel {
91 pub fn pending_completions(&self) -> Vec<LanguageModelRequest> {
92 self.current_completion_txs
93 .lock()
94 .iter()
95 .map(|(request, _)| request.clone())
96 .collect()
97 }
98
99 pub fn completion_count(&self) -> usize {
100 self.current_completion_txs.lock().len()
101 }
102
103 pub fn stream_completion_response(&self, request: &LanguageModelRequest, chunk: String) {
104 let current_completion_txs = self.current_completion_txs.lock();
105 let tx = current_completion_txs
106 .iter()
107 .find(|(req, _)| req == request)
108 .map(|(_, tx)| tx)
109 .unwrap();
110 tx.unbounded_send(chunk).unwrap();
111 }
112
113 pub fn end_completion_stream(&self, request: &LanguageModelRequest) {
114 self.current_completion_txs
115 .lock()
116 .retain(|(req, _)| req != request);
117 }
118
119 pub fn stream_last_completion_response(&self, chunk: String) {
120 self.stream_completion_response(self.pending_completions().last().unwrap(), chunk);
121 }
122
123 pub fn end_last_completion_stream(&self) {
124 self.end_completion_stream(self.pending_completions().last().unwrap());
125 }
126
127 pub fn respond_to_last_tool_use<T: Serialize>(&self, response: T) {
128 let response = serde_json::to_string(&response).unwrap();
129 let mut current_tool_call_txs = self.current_tool_use_txs.lock();
130 let (_, tx) = current_tool_call_txs.pop().unwrap();
131 tx.unbounded_send(response).unwrap();
132 }
133}
134
135impl LanguageModel for FakeLanguageModel {
136 fn id(&self) -> LanguageModelId {
137 language_model_id()
138 }
139
140 fn name(&self) -> LanguageModelName {
141 language_model_name()
142 }
143
144 fn provider_id(&self) -> LanguageModelProviderId {
145 provider_id()
146 }
147
148 fn provider_name(&self) -> LanguageModelProviderName {
149 provider_name()
150 }
151
152 fn telemetry_id(&self) -> String {
153 "fake".to_string()
154 }
155
156 fn max_token_count(&self) -> usize {
157 1000000
158 }
159
160 fn count_tokens(&self, _: LanguageModelRequest, _: &App) -> BoxFuture<'static, Result<usize>> {
161 futures::future::ready(Ok(0)).boxed()
162 }
163
164 fn stream_completion(
165 &self,
166 request: LanguageModelRequest,
167 _: &AsyncApp,
168 ) -> BoxFuture<'static, Result<BoxStream<'static, Result<LanguageModelCompletionEvent>>>> {
169 let (tx, rx) = mpsc::unbounded();
170 self.current_completion_txs.lock().push((request, tx));
171 async move {
172 Ok(rx
173 .map(|text| Ok(LanguageModelCompletionEvent::Text(text)))
174 .boxed())
175 }
176 .boxed()
177 }
178
179 fn use_any_tool(
180 &self,
181 request: LanguageModelRequest,
182 name: String,
183 description: String,
184 schema: serde_json::Value,
185 _cx: &AsyncApp,
186 ) -> BoxFuture<'static, Result<BoxStream<'static, Result<String>>>> {
187 let (tx, rx) = mpsc::unbounded();
188 let tool_call = ToolUseRequest {
189 request,
190 name,
191 description,
192 schema,
193 };
194 self.current_tool_use_txs.lock().push((tool_call, tx));
195 async move { Ok(rx.map(Ok).boxed()) }.boxed()
196 }
197
198 fn as_fake(&self) -> &Self {
199 self
200 }
201}