1use serde::{Deserialize, Serialize};
2use std::fmt;
3use std::str::FromStr;
4
5use super::{ModelId, ModelParseError};
6
7#[cfg_attr(feature = "schema", derive(schemars::JsonSchema))]
9#[derive(Clone, Copy, Debug, PartialEq, Eq, Hash, Serialize, Deserialize, Default)]
10pub enum Provider {
11 Gemini,
13 #[default]
15 OpenAI,
16 Anthropic,
18 Copilot,
20 DeepSeek,
22 OpenRouter,
24 Ollama,
26 LmStudio,
28 Moonshot,
30 ZAI,
32 Minimax,
34 MiMo,
36 Mistral,
38 HuggingFace,
40 OpenCodeZen,
42 OpenCodeGo,
44 Qwen,
46}
47
48impl Provider {
49 pub fn default_api_key_env(&self) -> &'static str {
51 match self {
52 Provider::Gemini => "GEMINI_API_KEY",
53 Provider::OpenAI => "OPENAI_API_KEY",
54 Provider::Anthropic => "ANTHROPIC_API_KEY",
55 Provider::Copilot => "",
56 Provider::DeepSeek => "DEEPSEEK_API_KEY",
57 Provider::OpenRouter => "OPENROUTER_API_KEY",
58 Provider::Ollama => "OLLAMA_API_KEY",
59 Provider::LmStudio => "LMSTUDIO_API_KEY",
60 Provider::Moonshot => "MOONSHOT_API_KEY",
61 Provider::ZAI => "ZAI_API_KEY",
62 Provider::Minimax => "MINIMAX_API_KEY",
63 Provider::MiMo => "MIMO_API_KEY",
64 Provider::Mistral => "MISTRAL_API_KEY",
65 Provider::HuggingFace => "HF_TOKEN",
66 Provider::OpenCodeZen => "OPENCODE_ZEN_API_KEY",
67 Provider::OpenCodeGo => "OPENCODE_GO_API_KEY",
68 Provider::Qwen => "QWEN_API_KEY",
69 }
70 }
71
72 pub fn all_providers() -> Vec<Provider> {
74 vec![
75 Provider::OpenAI,
76 Provider::Anthropic,
77 Provider::Copilot,
78 Provider::Minimax,
79 Provider::MiMo,
80 Provider::Mistral,
81 Provider::Gemini,
82 Provider::DeepSeek,
83 Provider::HuggingFace,
84 Provider::OpenRouter,
85 Provider::Ollama,
86 Provider::LmStudio,
87 Provider::Moonshot,
88 Provider::ZAI,
89 Provider::OpenCodeZen,
90 Provider::OpenCodeGo,
91 Provider::Qwen,
92 ]
93 }
94
95 pub fn label(&self) -> &'static str {
97 match self {
98 Provider::Gemini => "Gemini",
99 Provider::OpenAI => "OpenAI",
100 Provider::Anthropic => "Anthropic",
101 Provider::Copilot => "GitHub Copilot",
102 Provider::DeepSeek => "DeepSeek",
103 Provider::OpenRouter => "OpenRouter",
104 Provider::Ollama => "Ollama",
105 Provider::LmStudio => "LM Studio",
106 Provider::Moonshot => "Moonshot",
107 Provider::ZAI => "Z.AI",
108 Provider::Minimax => "MiniMax",
109 Provider::MiMo => "Xiaomi MiMo",
110 Provider::Mistral => "Mistral",
111 Provider::HuggingFace => "Hugging Face",
112 Provider::OpenCodeZen => "OpenCode Zen",
113 Provider::OpenCodeGo => "OpenCode Go",
114 Provider::Qwen => "Qwen",
115 }
116 }
117
118 pub fn is_dynamic(&self) -> bool {
119 matches!(self, Provider::Copilot) || self.is_local()
120 }
121
122 pub fn is_local(&self) -> bool {
123 matches!(self, Provider::Ollama | Provider::LmStudio)
124 }
125
126 pub fn local_install_instructions(&self) -> Option<&'static str> {
127 match self {
128 Provider::Ollama => Some(
129 "Ollama server is not running. To start:\n 1. Install Ollama from https://ollama.com\n 2. Run 'ollama serve' in a terminal\n 3. Pull models using 'ollama pull <model-name>' (e.g., 'ollama pull gpt-oss:20b')",
130 ),
131 Provider::LmStudio => Some(
132 "LM Studio server is not running. To start:\n 1. Install LM Studio from https://lmstudio.ai\n 2. Open LM Studio and start the Local Server on port 1234\n 3. Load the model you want to use",
133 ),
134 _ => None,
135 }
136 }
137
138 pub fn supports_reasoning_effort(&self, model: &str) -> bool {
140 use crate::constants::models;
141
142 match self {
143 Provider::Gemini => models::google::REASONING_MODELS.contains(&model),
144 Provider::OpenAI => models::openai::REASONING_MODELS.contains(&model),
145 Provider::Anthropic => models::anthropic::REASONING_MODELS.contains(&model),
146 Provider::Copilot => false,
147 Provider::DeepSeek => {
148 model == models::deepseek::DEEPSEEK_V4_PRO || model == "deepseek-reasoner"
149 }
150 Provider::OpenRouter => {
151 if let Ok(model_id) = ModelId::from_str(model) {
152 if let Some(meta) = crate::models::openrouter_generated::metadata_for(model_id)
153 {
154 return meta.reasoning;
155 }
156 return matches!(
157 model_id,
158 ModelId::OpenRouterMinimaxM25 | ModelId::OpenRouterQwen3CoderNext
159 );
160 }
161 models::openrouter::REASONING_MODELS.contains(&model)
162 }
163 Provider::Ollama => models::ollama::REASONING_LEVEL_MODELS.contains(&model),
164 Provider::LmStudio => models::lmstudio::REASONING_MODELS.contains(&model),
165 Provider::Moonshot => models::moonshot::REASONING_MODELS.contains(&model),
166 Provider::ZAI => models::zai::REASONING_MODELS.contains(&model),
167 Provider::Minimax => models::minimax::SUPPORTED_MODELS.contains(&model),
168 Provider::MiMo => models::mimo::SUPPORTED_MODELS.contains(&model),
169 Provider::Mistral => models::mistral::SUPPORTED_MODELS.contains(&model),
170 Provider::HuggingFace => models::huggingface::REASONING_MODELS.contains(&model),
171 Provider::OpenCodeZen => {
172 if models::opencode_zen::OPENAI_MODELS.contains(&model) {
173 Provider::OpenAI.supports_reasoning_effort(model)
174 } else if models::opencode_zen::ANTHROPIC_MODELS.contains(&model) {
175 Provider::Anthropic.supports_reasoning_effort(model)
176 } else {
177 false
178 }
179 }
180 Provider::OpenCodeGo => false,
181 Provider::Qwen => models::qwen::REASONING_MODELS.contains(&model),
182 }
183 }
184
185 pub fn supports_service_tier(&self, model: &str) -> bool {
187 use crate::constants::models;
188
189 match self {
190 Provider::OpenAI => models::openai::SERVICE_TIER_MODELS.contains(&model),
191 _ => false,
192 }
193 }
194
195 pub fn uses_managed_auth(&self) -> bool {
196 matches!(self, Provider::Copilot)
197 }
198}
199
200impl fmt::Display for Provider {
201 fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
202 match self {
203 Provider::Gemini => write!(f, "gemini"),
204 Provider::OpenAI => write!(f, "openai"),
205 Provider::Anthropic => write!(f, "anthropic"),
206 Provider::Copilot => write!(f, "copilot"),
207 Provider::DeepSeek => write!(f, "deepseek"),
208 Provider::OpenRouter => write!(f, "openrouter"),
209 Provider::Ollama => write!(f, "ollama"),
210 Provider::LmStudio => write!(f, "lmstudio"),
211 Provider::Moonshot => write!(f, "moonshot"),
212 Provider::ZAI => write!(f, "zai"),
213 Provider::Minimax => write!(f, "minimax"),
214 Provider::MiMo => write!(f, "mimo"),
215 Provider::Mistral => write!(f, "mistral"),
216 Provider::HuggingFace => write!(f, "huggingface"),
217 Provider::OpenCodeZen => write!(f, "opencode-zen"),
218 Provider::OpenCodeGo => write!(f, "opencode-go"),
219 Provider::Qwen => write!(f, "qwen"),
220 }
221 }
222}
223
224impl AsRef<str> for Provider {
225 fn as_ref(&self) -> &str {
226 match self {
227 Provider::Gemini => "gemini",
228 Provider::OpenAI => "openai",
229 Provider::Anthropic => "anthropic",
230 Provider::Copilot => "copilot",
231 Provider::DeepSeek => "deepseek",
232 Provider::OpenRouter => "openrouter",
233 Provider::Ollama => "ollama",
234 Provider::LmStudio => "lmstudio",
235 Provider::Moonshot => "moonshot",
236 Provider::ZAI => "zai",
237 Provider::Minimax => "minimax",
238 Provider::MiMo => "mimo",
239 Provider::Mistral => "mistral",
240 Provider::HuggingFace => "huggingface",
241 Provider::OpenCodeZen => "opencode-zen",
242 Provider::OpenCodeGo => "opencode-go",
243 Provider::Qwen => "qwen",
244 }
245 }
246}
247
248impl FromStr for Provider {
249 type Err = ModelParseError;
250
251 fn from_str(s: &str) -> Result<Self, Self::Err> {
252 match s.to_lowercase().as_str() {
253 "gemini" => Ok(Provider::Gemini),
254 "openai" => Ok(Provider::OpenAI),
255 "anthropic" => Ok(Provider::Anthropic),
256 "copilot" => Ok(Provider::Copilot),
257 "deepseek" => Ok(Provider::DeepSeek),
258 "openrouter" => Ok(Provider::OpenRouter),
259 "ollama" => Ok(Provider::Ollama),
260 "lmstudio" => Ok(Provider::LmStudio),
261 "moonshot" => Ok(Provider::Moonshot),
262 "zai" => Ok(Provider::ZAI),
263 "minimax" => Ok(Provider::Minimax),
264 "mimo" => Ok(Provider::MiMo),
265 "mistral" => Ok(Provider::Mistral),
266 "huggingface" => Ok(Provider::HuggingFace),
267 "opencode-zen" | "opencodezen" => Ok(Provider::OpenCodeZen),
268 "opencode-go" | "opencodego" => Ok(Provider::OpenCodeGo),
269 "qwen" => Ok(Provider::Qwen),
270 _ => Err(ModelParseError::InvalidProvider(s.to_string())),
271 }
272 }
273}