feat: 增加 MiniMax Anthropic 兼容预设

.env.example

@@ -4,6 +4,11 @@
 # ANTHROPIC_AUTH_TOKEN=
 # ANTHROPIC_BASE_URL=
 
+# MiniMax Anthropic-compatible preset
+# MINIMAX_API_KEY=
+# MINIMAX_BASE_URL=https://api.minimaxi.com/anthropic
+# MINIMAX_MODEL=MiniMax-M2.7
+
 # 与 aivideo 共用方舟凭证
 ARK_API_KEY=
 ARK_BASE_URL=https://ark.cn-beijing.volces.com/api/v3/chat/completions

application/ai/llm_control_service.py

@@ -248,6 +248,15 @@ def get_presets(self) -> List[LLMPreset]:
                 description='智谱 Anthropic-compatible 接口。模型名以智谱文档为准。',
                 tags=['domestic', 'preset'],
             ),
+            LLMPreset(
+                key='minimax-anthropic',
+                label='MiniMax / Anthropic 兼容',
+                protocol='anthropic',
+                default_base_url='https://api.minimaxi.com/anthropic',
+                default_model='MiniMax-M2.7',
+                description='MiniMax Anthropic-compatible 接口；默认使用 MiniMax-M2.7，也可改为 MiniMax-M2.7-highspeed 等官方模型 ID。',
+                tags=['domestic', 'preset'],
+            ),
             LLMPreset(
                 key='doubao-ark',
                 label='豆包 / 火山方舟 Ark',
@@ -532,6 +541,7 @@ def _build_initial_config(self) -> LLMControlConfig:
         anthropic_key = (os.getenv('ANTHROPIC_API_KEY') or os.getenv('ANTHROPIC_AUTH_TOKEN') or '').strip()
         openai_key = (os.getenv('OPENAI_API_KEY') or '').strip()
         gemini_key = (os.getenv('GEMINI_API_KEY') or '').strip()
+        minimax_key = (os.getenv('MINIMAX_API_KEY') or '').strip()
         ark_key = (os.getenv('ARK_API_KEY') or '').strip()
 
         if anthropic_key and (llm_provider == 'anthropic' or not llm_provider):
@@ -557,6 +567,16 @@ def _build_initial_config(self) -> LLMControlConfig:
                 'model': (os.getenv('GEMINI_MODEL') or '').strip() or profiles[2].model,
             })
             active_profile_id = profiles[2].id
+        elif minimax_key:
+            profiles[1] = profiles[1].model_copy(update={
+                'name': 'MiniMax / Anthropic',
+                'preset_key': 'minimax-anthropic',
+                'api_key': minimax_key,
+                'base_url': (os.getenv('MINIMAX_BASE_URL') or '').strip() or 'https://api.minimaxi.com/anthropic',
+                'model': (os.getenv('MINIMAX_MODEL') or '').strip() or 'MiniMax-M2.7',
+                'temperature': 1.0,
+            })
+            active_profile_id = profiles[1].id
         elif ark_key:
             profiles[0] = profiles[0].model_copy(update={
                 'name': '豆包 / Ark',

interfaces/api/v1/workbench/llm_control.py

@@ -72,6 +72,18 @@ def _openai_compatible_models_base(base_url: str) -> str:
     ).rstrip('/')
 
 
+def _is_minimax_anthropic_base(base_url: str) -> bool:
+    raw = (base_url or '').strip()
+    if not raw:
+        return False
+    if '://' not in raw:
+        raw = f'https://{raw}'
+    parsed = urlparse(raw)
+    host = (parsed.netloc or '').lower()
+    path = (parsed.path or '').lower()
+    return host.endswith('minimaxi.com') and '/anthropic' in path
+
+
 def _normalize_model_items(data: Dict[str, Any]) -> List[ModelItem]:
     """将不同网关的 /models 响应统一为 ModelItem 列表。"""
     items: List[ModelItem] = []
@@ -109,10 +121,16 @@ async def list_models(payload: ModelListRequest) -> ModelListResponse:
 
     if api_format == 'anthropic':
         url = f"{(base_url or 'https://api.anthropic.com').rstrip('/')}/v1/models"
-        headers = {
-            'x-api-key': api_key,
-            'anthropic-version': '2023-06-01',
-        }
+        if _is_minimax_anthropic_base(base_url):
+            headers = {
+                'Authorization': f'Bearer {api_key}',
+                'anthropic-version': '2023-06-01',
+            }
+        else:
+            headers = {
+                'x-api-key': api_key,
+                'anthropic-version': '2023-06-01',
+            }
     else:
         openai_base = _openai_compatible_models_base(base_url)
         url = f'{openai_base}/models'