Files
CC-Switch/src-tauri/src/commands/model_fetch.rs
T
Allen Xu 92ca95ffcd feat(opencode): load OMO models from runtime opencode models (#5522)
* feat(opencode): load OMO models from runtime opencode models

Surface OAuth/Zen free models in OMO/OMO Slim pickers by running the
installed OpenCode CLI, with a 20s timeout and a toast when discovery fails.

* style: fix rustfmt and prettier for OMO runtime models

* fix(opencode): pass OPENCODE_CONFIG_DIR for runtime model discovery

Honor the configured OpenCode config directory when running
`opencode models`, including WSL UNC path translation. Also drop the
unused run_detected_tool_command wrapper that failed clippy.

* fix(opencode): satisfy Windows Clippy

* fix(opencode): bound runtime model discovery

* fix(opencode): address runtime model review feedback

* fix(ci): parenthesize unsafe kill expression
2026-08-04 09:43:20 +08:00

147 lines
5.0 KiB
Rust

//! 模型列表获取命令
//!
//! 提供 Tauri 命令,供前端在供应商表单中获取可用模型列表。
use crate::services::model_fetch::{self, FetchedModel};
use serde::Serialize;
use std::collections::BTreeSet;
#[derive(Debug, Clone, PartialEq, Eq, Serialize)]
#[serde(rename_all = "camelCase")]
pub struct OpenCodeModelRef {
pub provider_id: String,
pub model_id: String,
}
const OPENCODE_MODELS_TIMEOUT: std::time::Duration = std::time::Duration::from_secs(20);
/// 获取 OpenCode 当前运行时可用的模型。
///
/// 复用工具更新页的 CLI 定位逻辑执行 `opencode models`,因此会包含 OpenCode
/// 已加载的 OAuth 模型与 Zen 免费模型,而不是只读取 opencode.json。
#[tauri::command]
pub async fn get_opencode_models() -> Result<Vec<OpenCodeModelRef>, String> {
tokio::task::spawn_blocking(|| {
// Align runtime discovery with the OpenCode config directory that
// cc-switch already uses for live read/write (settings override included).
let config_dir = crate::opencode_config::get_opencode_dir();
let config_dir_env = config_dir.to_string_lossy().into_owned();
let extra_env = [
("OPENCODE_CONFIG_DIR", config_dir_env),
("OPENCODE_DISABLE_PROJECT_CONFIG", "true".to_string()),
];
let output = super::misc::run_detected_tool_command_with_timeout(
"opencode",
&["models"],
Some(OPENCODE_MODELS_TIMEOUT),
&extra_env,
&config_dir,
)?;
if !output.status.success() {
let stderr = super::misc::decode_command_output(&output.stderr);
let stdout = super::misc::decode_command_output(&output.stdout);
let detail = if stderr.trim().is_empty() {
stdout.trim()
} else {
stderr.trim()
};
return Err(if detail.is_empty() {
"Failed to load OpenCode models".to_string()
} else {
format!("Failed to load OpenCode models: {detail}")
});
}
Ok(parse_opencode_models(&super::misc::decode_command_output(
&output.stdout,
)))
})
.await
.map_err(|e| format!("OpenCode model discovery task failed: {e}"))?
}
fn parse_opencode_models(output: &str) -> Vec<OpenCodeModelRef> {
output
.lines()
.filter_map(|line| {
let (provider_id, model_id) = line.trim().split_once('/')?;
if provider_id.is_empty()
|| model_id.is_empty()
|| !provider_id
.chars()
.all(|c| c.is_ascii_alphanumeric() || matches!(c, '-' | '_' | '.'))
|| model_id
.chars()
.any(|c| c.is_whitespace() || c.is_control())
{
return None;
}
Some((provider_id.to_string(), model_id.to_string()))
})
.collect::<BTreeSet<_>>()
.into_iter()
.map(|(provider_id, model_id)| OpenCodeModelRef {
provider_id,
model_id,
})
.collect()
}
/// 获取供应商的可用模型列表
///
/// 使用 OpenAI 兼容的 GET /v1/models 端点。优先使用 `models_url` 精确覆写;
/// 否则对 baseURL 生成候选列表(含「剥离 Anthropic 兼容子路径」兜底),按序尝试。
#[tauri::command(rename_all = "camelCase")]
pub async fn fetch_models_for_config(
base_url: String,
api_key: String,
is_full_url: Option<bool>,
models_url: Option<String>,
custom_user_agent: Option<String>,
) -> Result<Vec<FetchedModel>, String> {
// 与转发 / 检测路径共用 parse_custom_user_agent:非法 UA 静默忽略(不阻断取模型)。
let user_agent = crate::provider::parse_custom_user_agent(custom_user_agent.as_deref())
.ok()
.flatten();
model_fetch::fetch_models(
&base_url,
&api_key,
is_full_url.unwrap_or(false),
models_url.as_deref(),
user_agent,
)
.await
}
#[cfg(test)]
mod tests {
use super::{parse_opencode_models, OpenCodeModelRef};
#[test]
fn parses_sorts_and_deduplicates_models() {
assert_eq!(
parse_opencode_models(
"openrouter/vendor/model\nopencode/free-model\ninvalid\nopencode/free-model\n"
),
vec![
OpenCodeModelRef {
provider_id: "opencode".to_string(),
model_id: "free-model".to_string(),
},
OpenCodeModelRef {
provider_id: "openrouter".to_string(),
model_id: "vendor/model".to_string(),
},
]
);
}
#[test]
fn skips_malformed_output_lines() {
assert!(parse_opencode_models(
"notice: loading models\n/model\nprovider/\nbad provider/model\nprovider/bad model\nprovider/bad\u{1b}[0m\n"
)
.is_empty());
}
}