fix(models): support Zhipu OpenAI Responses model lists (#7330)

Zhipu's Responses endpoint (open.bigmodel.cn/api/v1) serves its model list in the Codex remote catalog shape (models[].slug) instead of the OpenAI-compatible data[].id shape, so the Codex form's model fetch came back empty. The parser now falls back to models[].slug when data is absent.

src-tauri/src/lib.rs

@@ -1478,7 +1478,8 @@ pub fn run() {
             commands::delete_profile,
             commands::clear_current_profile,
             commands::apply_profile,
-            // model list fetch (OpenAI-compatible /v1/models)
+            // Fetch OpenAI-compatible and Anthropic model lists. Response data structure:
+            // data[].id, data[]?.owned_by. Special: supports Zhipu OpenAI Responses models[].slug.
             commands::fetch_models_for_config,
             commands::get_opencode_models,
             // ours: endpoint speed test + custom endpoint management

src-tauri/src/services/model_fetch.rs

@@ -18,10 +18,14 @@ pub struct FetchedModel {
     pub owned_by: Option<String>,
 }
 
-/// OpenAI 兼容的 /v1/models 响应格式
+/// 模型列表响应的兼容格式。
+///
+/// OpenAI 兼容接口和 Anthropic 接口使用 `data` 字段，智谱 OpenAI Responses
+/// 接口使用 `models` 字段，此结构同时兼容这两种格式。
 #[derive(Debug, Deserialize)]
 struct ModelsResponse {
     data: Option<Vec<ModelEntry>>,
+    models: Option<Vec<ZhipuModelEntry>>,
 }
 
 #[derive(Debug, Deserialize)]
@@ -30,6 +34,11 @@ struct ModelEntry {
     owned_by: Option<String>,
 }
 
+#[derive(Debug, Deserialize)]
+struct ZhipuModelEntry {
+    slug: String,
+}
+
 const FETCH_TIMEOUT_SECS: u64 = 15;
 const MAX_REQUEST_HEADERS: usize = 64;
 const MAX_HEADER_NAME_BYTES: usize = 256;
@@ -98,15 +107,23 @@ pub async fn fetch_models(
                 .await
                 .map_err(|e| format!("Failed to parse response: {e}"))?;
 
-            let mut models: Vec<FetchedModel> = resp
-                .data
-                .unwrap_or_default()
-                .into_iter()
-                .map(|m| FetchedModel {
-                    id: m.id,
-                    owned_by: m.owned_by,
-                })
-                .collect();
+            let mut models: Vec<FetchedModel> = if let Some(data) = resp.data {
+                data.into_iter()
+                    .map(|m| FetchedModel {
+                        id: m.id,
+                        owned_by: m.owned_by,
+                    })
+                    .collect()
+            } else {
+                resp.models
+                    .unwrap_or_default()
+                    .into_iter()
+                    .map(|m| FetchedModel {
+                        id: m.slug,
+                        owned_by: None,
+                    })
+                    .collect()
+            };
 
             models.sort_by(|a, b| a.id.cmp(&b.id));
             return Ok(models);

src/lib/api/model-fetch.ts

@@ -17,6 +17,13 @@ export interface ModelFetchOptions {
  *
  * 使用 OpenAI 兼容的 GET /v1/models 端点。优先用 `modelsUrl` 精确覆写；
  * 否则后端会对 baseURL 生成候选列表并按序尝试（含"剥离 /anthropic 等兼容子路径"兜底）。
+ *
+ * 该接口可以获取数据格式为
+ * OpenAI Chat Completion {"data": [{"id": "xxx","owned_by": "xxx"}]} 文档：https://developers.openai.com/api/reference/resources/models/methods/list
+ * 和
+ * Anthropic兼容 {"data":[{"id":"xxx"}]} 文档：https://platform.claude.com/docs/en/api/models/list
+ * 这两种端点的模型列表
+ * 特别支持智谱 OpenAI Responses {"models":[{"slug":"xxx"}]} 端点：https://open.bigmodel.cn/api/v1/models
  */
 export async function fetchModelsForConfig(
   baseUrl: string,