Update aws tools (#11174)

Co-authored-by: Yuanbo Li <[email protected]>

Author: ybalbert001

api/core/tools/provider/builtin/aws/tools/lambda_translate_utils.py

@@ -12,7 +12,7 @@ class LambdaTranslateUtilsTool(BuiltinTool):
 
     def _invoke_lambda(self, text_content, src_lang, dest_lang, model_id, dictionary_name, request_type, lambda_name):
         msg = {
-            "src_content": text_content,
+            "src_contents": [text_content],
             "src_lang": src_lang,
             "dest_lang": dest_lang,
             "dictionary_id": dictionary_name,

api/core/tools/provider/builtin/aws/tools/lambda_translate_utils.yaml

@@ -8,9 +8,9 @@ identity:
   icon: icon.svg
 description:
   human:
-    en_US: A util tools for LLM translation, extra deployment is needed on AWS. Please refer Github Repo - https://github.com/ybalbert001/dynamodb-rag
-    zh_Hans: 大语言模型翻译工具(专词映射获取)，需要在AWS上进行额外部署，可参考Github Repo - https://github.com/ybalbert001/dynamodb-rag
-    pt_BR: A util tools for LLM translation, specific Lambda Function deployment is needed on AWS. Please refer Github Repo - https://github.com/ybalbert001/dynamodb-rag
+    en_US: A util tools for LLM translation, extra deployment is needed on AWS. Please refer Github Repo - https://github.com/aws-samples/rag-based-translation-with-dynamodb-and-bedrock
+    zh_Hans: 大语言模型翻译工具(专词映射获取)，需要在AWS上进行额外部署，可参考Github Repo - https://github.com/aws-samples/rag-based-translation-with-dynamodb-and-bedrock
+    pt_BR: A util tools for LLM translation, specific Lambda Function deployment is needed on AWS. Please refer Github Repo - https://github.com/aws-samples/rag-based-translation-with-dynamodb-and-bedrock
   llm: A util tools for translation.
 parameters:
   - name: text_content

api/core/tools/provider/builtin/aws/tools/sagemaker_chinese_toxicity_detector.py

@@ -0,0 +1,67 @@
+import json
+from typing import Any, Union
+
+import boto3
+
+from core.tools.entities.tool_entities import ToolInvokeMessage
+from core.tools.tool.builtin_tool import BuiltinTool
+
+# 定义标签映射
+LABEL_MAPPING = {"LABEL_0": "SAFE", "LABEL_1": "NO_SAFE"}
+
+
+class ContentModerationTool(BuiltinTool):
+    sagemaker_client: Any = None
+    sagemaker_endpoint: str = None
+
+    def _invoke_sagemaker(self, payload: dict, endpoint: str):
+        response = self.sagemaker_client.invoke_endpoint(
+            EndpointName=endpoint,
+            Body=json.dumps(payload),
+            ContentType="application/json",
+        )
+        # Parse response
+        response_body = response["Body"].read().decode("utf8")
+
+        json_obj = json.loads(response_body)
+
+        # Handle nested JSON if present
+        if isinstance(json_obj, dict) and "body" in json_obj:
+            body_content = json.loads(json_obj["body"])
+            raw_label = body_content.get("label")
+        else:
+            raw_label = json_obj.get("label")
+
+        # 映射标签并返回
+        result = LABEL_MAPPING.get(raw_label, "NO_SAFE")  # 如果映射中没有找到，默认返回NO_SAFE
+        return result
+
+    def _invoke(
+        self,
+        user_id: str,
+        tool_parameters: dict[str, Any],
+    ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]:
+        """
+        invoke tools
+        """
+        try:
+            if not self.sagemaker_client:
+                aws_region = tool_parameters.get("aws_region")
+                if aws_region:
+                    self.sagemaker_client = boto3.client("sagemaker-runtime", region_name=aws_region)
+                else:
+                    self.sagemaker_client = boto3.client("sagemaker-runtime")
+
+            if not self.sagemaker_endpoint:
+                self.sagemaker_endpoint = tool_parameters.get("sagemaker_endpoint")
+
+            content_text = tool_parameters.get("content_text")
+
+            payload = {"text": content_text}
+
+            result = self._invoke_sagemaker(payload, self.sagemaker_endpoint)
+
+            return self.create_text_message(text=result)
+
+        except Exception as e:
+            return self.create_text_message(f"Exception {str(e)}")

api/core/tools/provider/builtin/aws/tools/sagemaker_chinese_toxicity_detector.yaml

@@ -0,0 +1,46 @@
+identity:
+  name: chinese_toxicity_detector
+  author: AWS
+  label:
+    en_US: Chinese Toxicity Detector
+    zh_Hans: 中文有害内容检测
+  icon: icon.svg
+description:
+  human:
+    en_US: A tool to detect Chinese toxicity
+    zh_Hans: 检测中文有害内容的工具
+  llm: A tool that checks if Chinese content is safe for work
+parameters:
+  - name: sagemaker_endpoint
+    type: string
+    required: true
+    label:
+      en_US: sagemaker endpoint for moderation
+      zh_Hans: 内容审核的SageMaker端点
+    human_description:
+      en_US: sagemaker endpoint for content moderation
+      zh_Hans: 内容审核的SageMaker端点
+    llm_description: sagemaker endpoint for content moderation
+    form: form
+  - name: content_text
+    type: string
+    required: true
+    label:
+      en_US: content text
+      zh_Hans: 待审核文本
+    human_description:
+      en_US: text content to be moderated
+      zh_Hans: 需要审核的文本内容
+    llm_description: text content to be moderated
+    form: llm
+  - name: aws_region
+    type: string
+    required: false
+    label:
+      en_US: region of sagemaker endpoint
+      zh_Hans: SageMaker 端点所在的region
+    human_description:
+      en_US: region of sagemaker endpoint
+      zh_Hans: SageMaker 端点所在的region
+    llm_description: region of sagemaker endpoint
+    form: form