增加模型信息的记录入库字段

app/models.py

@@ -254,6 +254,18 @@ class TableSnippetUpsertRequest(BaseModel):
     callback_url: HttpUrl = Field(..., description="Callback URL associated with the action run.")
     table_schema_version_id: int = Field(..., ge=0, description="Identifier for the schema snapshot.")
     table_schema: Any = Field(..., description="Schema snapshot payload for the table.")
+    model: Optional[str] = Field(
+        None,
+        description="LLM model identifier (can be provider alias) used for this action, when applicable.",
+    )
+    model_provider: Optional[str] = Field(
+        None,
+        description="LLM provider responsible for executing the action's model.",
+    )
+    model_params: Optional[Dict[str, Any]] = Field(
+        None,
+        description="Optional model parameter overrides (e.g., temperature) associated with the action.",
+    )
     llm_usage: Optional[Any] = Field(
         None,
         description="Optional token usage metrics reported by the LLM provider.",

app/services/table_snippet.py

@@ -38,6 +38,13 @@ def _prepare_table_schema(value: Any) -> str:
     return json.dumps(value, ensure_ascii=False)
 
 
+def _prepare_model_params(params: Dict[str, Any] | None) -> str | None:
+    if not params:
+        return None
+    serialized, _ = _serialize_json(params)
+    return serialized
+
+
 def _collect_common_columns(request: TableSnippetUpsertRequest) -> Dict[str, Any]:
     logger.debug(
         "Collecting common columns for table_id=%s version_ts=%s action_type=%s",
@@ -53,6 +60,8 @@ def _collect_common_columns(request: TableSnippetUpsertRequest) -> Dict[str, Any
         "callback_url": str(request.callback_url),
         "table_schema_version_id": request.table_schema_version_id,
         "table_schema": _prepare_table_schema(request.table_schema),
+        "model": request.model,
+        "model_provider": request.model_provider,
     }
 
     payload.update(
@@ -72,6 +81,8 @@ def _collect_common_columns(request: TableSnippetUpsertRequest) -> Dict[str, Any
         }
     )
 
+    payload["model_params"] = _prepare_model_params(request.model_params)
+
     if request.llm_usage is not None:
         llm_usage_json, _ = _serialize_json(request.llm_usage)
         if llm_usage_json is not None:

table_snippet.sql

@@ -4,6 +4,9 @@ CREATE TABLE `action_results` (
   `version_ts` bigint NOT NULL COMMENT '版本时间戳（版本号）',
   `action_type` enum('ge_profiling','ge_result_desc','snippet','snippet_alias') COLLATE utf8mb4_bin NOT NULL COMMENT '动作类型',
   `status` enum('pending','running','success','failed','partial') COLLATE utf8mb4_bin NOT NULL DEFAULT 'pending' COMMENT '执行状态',
+  `model` varchar(100) COLLATE utf8mb4_bin DEFAULT NULL COMMENT '模型名称',
+  `model_provider` varchar(100) COLLATE utf8mb4_bin DEFAULT NULL COMMENT '模型渠道',
+  `model_params` varchar(100) COLLATE utf8mb4_bin DEFAULT NULL COMMENT '模型参数，如温度',
   `llm_usage` json DEFAULT NULL COMMENT 'LLM token usage统计',
   `error_code` varchar(128) COLLATE utf8mb4_bin DEFAULT NULL,
   `error_message` text COLLATE utf8mb4_bin,