fix：生成默认配置文件

src/config/config.py

@@ -11,6 +11,7 @@ import tomlkit
 
 from .config_base import AttributeData, ConfigBase, Field
 from .config_utils import compare_versions, output_config_changes, recursive_parse_item_to_table
+from .default_model_config import create_default_model_config
 from .file_watcher import FileChange, FileWatcher
 from .legacy_migration import migrate_legacy_bind_env_to_bot_config_dict, try_migrate_legacy_bot_config_dict
 from .model_configs import APIProvider, ModelInfo, ModelTaskConfig
@@ -55,7 +56,7 @@ MODEL_CONFIG_PATH: Path = (CONFIG_DIR / "model_config.toml").resolve().absolute(
 LEGACY_ENV_PATH: Path = (PROJECT_ROOT / ".env").resolve().absolute()
 MMC_VERSION: str = "1.0.0"
 CONFIG_VERSION: str = "8.9.3"
-MODEL_CONFIG_VERSION: str = "1.14.0"
+MODEL_CONFIG_VERSION: str = "1.14.1"
 
 logger = get_logger("config")
 
@@ -439,15 +440,20 @@ class ConfigManager:
             logger.error(t("config.reload_timeout", timeout_seconds=self._hot_reload_timeout_s))
 
 
-def generate_new_config_file(config_class: type[T], config_path: Path, inner_config_version: str) -> None:
+def generate_new_config_file(
+    config_class: type[T], config_path: Path, inner_config_version: str, override_repr: bool = False
+) -> None:
     """生成新的配置文件
 
     :param config_class: 配置类
     :param config_path: 配置文件路径
     :param inner_config_version: 配置文件版本号
     """
-    config = config_class()
-    write_config_to_file(config, config_path, inner_config_version)
+    if config_class is ModelConfig:
+        config = create_default_model_config(config_class)
+    else:
+        config = config_class()
+    write_config_to_file(config, config_path, inner_config_version, override_repr)
 
 
 def remove_legacy_env_file(env_path: Path) -> None:
@@ -468,6 +474,9 @@ def load_config_from_file(
     config_class: type[T], config_path: Path, new_ver: str, override_repr: bool = False
 ) -> tuple[T, bool]:
     attribute_data = AttributeData()
+    if not config_path.exists():
+        logger.warning(f"配置文件缺失，正在生成默认配置: {config_path}")
+        generate_new_config_file(config_class, config_path, new_ver, override_repr)
     with open(config_path, "r", encoding="utf-8") as f:
         config_data = tomlkit.load(f)
     inner_table = config_data.get("inner")

src/config/default_model_config.py

@@ -0,0 +1,146 @@
+from typing import Any, TypeVar
+
+from .config_base import ConfigBase
+from .model_configs import APIProvider, ModelInfo, ModelTaskConfig, OpenAICompatibleAuthType, TaskConfig
+
+T = TypeVar("T", bound=ConfigBase)
+
+DEFAULT_PROVIDER_TEMPLATES: list[dict[str, Any]] = [
+    {
+        "name": "BaiLian",
+        "base_url": "https://dashscope.aliyuncs.com/compatible-mode/v1",
+        "auth_type": OpenAICompatibleAuthType.NONE.value,
+    }
+]
+
+DEFAULT_TASK_CONFIG_TEMPLATES: dict[str, dict[str, Any]] = {
+    "utils": {
+        "model_list": ["qwen3.5-35b-a3b-nonthink"],
+        "max_tokens": 4096,
+        "temperature": 0.5,
+        "slow_threshold": 15.0,
+        "selection_strategy": "random",
+    },
+    "replyer": {
+        "model_list": ["ali-glm-5"],
+        "max_tokens": 4096,
+        "temperature": 1,
+        "slow_threshold": 120.0,
+        "selection_strategy": "random",
+    },
+    "planner": {
+        "model_list": ["qwen3.5-35b-a3b", "qwen3.5-122b-a10b", "qwen3.5-flash"],
+        "max_tokens": 8000,
+        "temperature": 0.7,
+        "slow_threshold": 12.0,
+        "selection_strategy": "random",
+    },
+    "vlm": {
+        "model_list": ["qwen3.5-flash"],
+        "max_tokens": 512,
+        "temperature": 0.3,
+        "slow_threshold": 15.0,
+        "selection_strategy": "random",
+    },
+    "voice": {
+        "model_list": [""],
+        "max_tokens": 1024,
+        "temperature": 0.3,
+        "slow_threshold": 12.0,
+        "selection_strategy": "random",
+    },
+    "embedding": {
+        "model_list": ["qwen3-embedding"],
+        "max_tokens": 1024,
+        "temperature": 0.3,
+        "slow_threshold": 5.0,
+        "selection_strategy": "random",
+    },
+}
+
+DEFAULT_MODEL_TEMPLATES: list[dict[str, Any]] = [
+    {
+        "model_identifier": "glm-5",
+        "name": "ali-glm-5",
+        "api_provider": "BaiLian",
+        "price_in": 3.0,
+        "price_out": 14.0,
+        "temperature": 1.0,
+        "visual": False,
+        "extra_params": {"enable_thinking": False},
+    },
+    {
+        "model_identifier": "qwen3.5-122b-a10b",
+        "name": "qwen3.5-122b-a10b",
+        "api_provider": "BaiLian",
+        "price_in": 0.8,
+        "price_out": 6.4,
+        "visual": True,
+        "extra_params": {"enable_thinking": "false"},
+    },
+    {
+        "model_identifier": "qwen3.5-35b-a3b",
+        "name": "qwen3.5-35b-a3b",
+        "api_provider": "BaiLian",
+        "price_in": 0.4,
+        "price_out": 3.2,
+        "visual": True,
+        "extra_params": {},
+    },
+    {
+        "model_identifier": "qwen3.5-35b-a3b",
+        "name": "qwen3.5-35b-a3b-nonthink",
+        "api_provider": "BaiLian",
+        "price_in": 0.4,
+        "price_out": 3.2,
+        "visual": True,
+        "extra_params": {"enable_thinking": "false"},
+    },
+    {
+        "model_identifier": "qwen3.5-flash",
+        "name": "qwen3.5-flash",
+        "api_provider": "BaiLian",
+        "price_in": 0.2,
+        "price_out": 2.0,
+        "visual": True,
+        "extra_params": {"enable_thinking": "false"},
+    },
+    {
+        "model_identifier": "text-embedding-v4",
+        "name": "qwen3-embedding",
+        "api_provider": "BaiLian",
+        "price_in": 0.5,
+        "price_out": 0.5,
+        "visual": False,
+        "extra_params": {},
+    }
+]
+
+
+def build_default_model_templates() -> list[dict[str, Any]]:
+    """筛选任务分配中实际用到的模型模板。"""
+
+    used_model_names = {
+        model_name
+        for task_template in DEFAULT_TASK_CONFIG_TEMPLATES.values()
+        for model_name in task_template["model_list"]
+    }
+    return [model_template for model_template in DEFAULT_MODEL_TEMPLATES if model_template["name"] in used_model_names]
+
+
+def create_default_model_config(config_class: type[T]) -> T:
+    """根据预置模板创建可通过校验的默认模型配置。"""
+
+    task_config_fields = {}
+    for field_name, field_info in ModelTaskConfig.model_fields.items():
+        if field_info.annotation is not TaskConfig:
+            continue
+
+        task_template = DEFAULT_TASK_CONFIG_TEMPLATES.get(field_name, {})
+        task_config_fields[field_name] = TaskConfig(**task_template)
+
+    return config_class(
+        models=[ModelInfo(**model_template) for model_template in build_default_model_templates()],
+        model_task_config=ModelTaskConfig(**task_config_fields),
+        api_providers=[APIProvider(**provider_template) for provider_template in DEFAULT_PROVIDER_TEMPLATES],
+    )