diff --git a/backend/app/agents/agent.py b/backend/app/agents/agent.py
index dec4caeaa..0c4367c71 100644
--- a/backend/app/agents/agent.py
+++ b/backend/app/agents/agent.py
@@ -9,7 +9,7 @@
     ConverseApiToolResult,
     ConverseApiToolUseContent,
     calculate_price,
-    get_bedrock_client,
+    get_bedrock_runtime_client,
     get_model_id,
 )
 from app.repositories.models.conversation import (
@@ -46,7 +46,7 @@ def __init__(
     ):
         self.bot = bot
         self.tools = {tool.name: tool for tool in tools}
-        self.client = get_bedrock_client()
+        self.client = get_bedrock_runtime_client()
         self.model: type_model_name = model
         self.model_id = get_model_id(model)
         self.on_thinking = on_thinking
diff --git a/backend/app/bedrock.py b/backend/app/bedrock.py
index 9c96ee806..7660d093a 100644
--- a/backend/app/bedrock.py
+++ b/backend/app/bedrock.py
@@ -8,10 +8,11 @@
 from app.config import BEDROCK_PRICING, DEFAULT_EMBEDDING_CONFIG
 from app.config import DEFAULT_GENERATION_CONFIG as DEFAULT_CLAUDE_GENERATION_CONFIG
 from app.config import DEFAULT_MISTRAL_GENERATION_CONFIG
-from app.repositories.models.conversation import MessageModel
+from app.repositories.models.conversation import ContentModel, MessageModel
 from app.repositories.models.custom_bot import GenerationParamsModel
+from app.repositories.models.custom_bot_guardrails import BedrockGuardrailsModel
 from app.routes.schemas.conversation import type_model_name
-from app.utils import convert_dict_keys_to_camel_case, get_bedrock_client
+from app.utils import convert_dict_keys_to_camel_case, get_bedrock_runtime_client
 from typing_extensions import NotRequired, TypedDict, no_type_check
 
 logger = logging.getLogger(__name__)
@@ -24,7 +25,14 @@
     else DEFAULT_CLAUDE_GENERATION_CONFIG
 )
 
-client = get_bedrock_client()
+client = get_bedrock_runtime_client()
+
+
+class GuardrailConfig(TypedDict):
+    guardrailIdentifier: str
+    guardrailVersion: str
+    trace: str
+    streamProcessingMode: NotRequired[str]
 
 
 class ConverseApiToolSpec(TypedDict):
@@ -56,6 +64,7 @@ class ConverseApiRequest(TypedDict):
     messages: list[dict]
     stream: bool
     system: list[dict]
+    guardrailConfig: NotRequired[GuardrailConfig]
     tool_config: NotRequired[ConverseApiToolConfig]
 
 
@@ -136,56 +145,73 @@ def _convert_to_valid_file_name(file_name: str) -> str:
     return file_name
 
 
-@no_type_check
 def compose_args_for_converse_api(
     messages: list[MessageModel],
     model: type_model_name,
     instruction: str | None = None,
     stream: bool = False,
     generation_params: GenerationParamsModel | None = None,
+    grounding_source: dict | None = None,
+    guardrail: BedrockGuardrailsModel | None = None,
 ) -> ConverseApiRequest:
-    """Compose arguments for Converse API.
-    Ref: https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/bedrock-runtime/client/converse_stream.html
-    """
-    arg_messages = []
-    for message in messages:
-        if message.role not in ["system", "instruction"]:
-            content_blocks = []
-            for c in message.content:
-                if c.content_type == "text":
-                    content_blocks.append({"text": c.body})
-                elif c.content_type == "image":
-                    # e.g. "image/png" -> "png"
-                    format = c.media_type.split("/")[1]
-                    content_blocks.append(
-                        {
-                            "image": {
-                                "format": format,
-                                # decode base64 encoded image
-                                "source": {"bytes": base64.b64decode(c.body)},
-                            }
-                        }
-                    )
-                elif c.content_type == "attachment":
-                    content_blocks.append(
-                        {
-                            "document": {
-                                "format": _get_converse_supported_format(
-                                    Path(c.file_name).suffix[
-                                        1:
-                                    ],  # e.g. "document.txt" -> "txt"
-                                ),
-                                "name": Path(
-                                    _convert_to_valid_file_name(c.file_name)
-                                ).stem,  # e.g. "document.txt" -> "document"
-                                # encode text attachment body
-                                "source": {"bytes": base64.b64decode(c.body)},
-                            }
+    def process_content(c: ContentModel, role: str):
+        if c.content_type == "text":
+            if role == "user" and guardrail and guardrail.grounding_threshold > 0:
+                return [
+                    {"guardContent": grounding_source},
+                    {
+                        "guardContent": {
+                            "text": {"text": c.body, "qualifiers": ["query"]}
                         }
-                    )
-                else:
-                    raise NotImplementedError()
-            arg_messages.append({"role": message.role, "content": content_blocks})
+                    },
+                ]
+            elif role == "assistant":
+                return [{"text": c.body if isinstance(c.body, str) else None}]
+            else:
+                return [{"text": c.body}]
+        elif c.content_type == "image":
+            format = c.media_type.split("/")[1] if c.media_type else "unknown"
+            return [
+                {
+                    "image": {
+                        "format": format,
+                        "source": {"bytes": base64.b64decode(c.body)},
+                    }
+                }
+            ]
+        elif c.content_type == "attachment":
+            return [
+                {
+                    "document": {
+                        "format": _get_converse_supported_format(
+                            Path(c.file_name).suffix[1:]  # type: ignore
+                        ),
+                        "name": Path(c.file_name).stem,  # type: ignore
+                        "source": {
+                            "bytes": (
+                                c.body.encode("utf-8")
+                                if isinstance(c.body, str)
+                                else c.body
+                            )
+                        },  # And this line
+                    }
+                }
+            ]
+        else:
+            raise NotImplementedError(f"Unsupported content type: {c.content_type}")
+
+    arg_messages = [
+        {
+            "role": message.role,
+            "content": [
+                block
+                for c in message.content
+                for block in process_content(c, message.role)
+            ],
+        }
+        for message in messages
+        if message.role not in ["system", "instruction"]
+    ]
 
     inference_config = {
         **DEFAULT_GENERATION_CONFIG,
@@ -201,9 +227,7 @@ def compose_args_for_converse_api(
         ),
     }
 
-    # `top_k` is configured in `additional_model_request_fields` instead of `inference_config`
-    additional_model_request_fields = {"top_k": inference_config["top_k"]}
-    del inference_config["top_k"]
+    additional_model_request_fields = {"top_k": inference_config.pop("top_k")}
 
     args: ConverseApiRequest = {
         "inference_config": convert_dict_keys_to_camel_case(inference_config),
@@ -211,30 +235,38 @@ def compose_args_for_converse_api(
         "model_id": get_model_id(model),
         "messages": arg_messages,
         "stream": stream,
-        "system": [],
+        "system": [{"text": instruction}] if instruction else [],
     }
-    if instruction:
-        args["system"].append({"text": instruction})
+
+    if guardrail and guardrail.guardrail_arn and guardrail.guardrail_version:
+        args["guardrailConfig"] = {
+            "guardrailIdentifier": guardrail.guardrail_arn,
+            "guardrailVersion": guardrail.guardrail_version,
+            "trace": "enabled",
+        }
+
+        if stream:
+            # https://docs.aws.amazon.com/bedrock/latest/userguide/guardrails-streaming.html
+            args["guardrailConfig"]["streamProcessingMode"] = "async"
+
     return args
 
 
 def call_converse_api(args: ConverseApiRequest) -> ConverseApiResponse:
-    client = get_bedrock_client()
-    messages = args["messages"]
-    inference_config = args["inference_config"]
-    additional_model_request_fields = args["additional_model_request_fields"]
-    model_id = args["model_id"]
-    system = args["system"]
-
-    response = client.converse(
-        modelId=model_id,
-        messages=messages,
-        inferenceConfig=inference_config,
-        system=system,
-        additionalModelRequestFields=additional_model_request_fields,
-    )
+    client = get_bedrock_runtime_client()
+
+    base_args = {
+        "modelId": args["model_id"],
+        "messages": args["messages"],
+        "inferenceConfig": args["inference_config"],
+        "system": args["system"],
+        "additionalModelRequestFields": args["additional_model_request_fields"],
+    }
+
+    if "guardrailConfig" in args:
+        base_args["guardrailConfig"] = args["guardrailConfig"]  # type: ignore
 
-    return response
+    return client.converse(**base_args)
 
 
 def calculate_price(
diff --git a/backend/app/bot_remove.py b/backend/app/bot_remove.py
index 54ae0e29a..ac08f9f7a 100644
--- a/backend/app/bot_remove.py
+++ b/backend/app/bot_remove.py
@@ -15,8 +15,9 @@
 
 DB_SECRETS_ARN = os.environ.get("DB_SECRETS_ARN", "")
 DOCUMENT_BUCKET = os.environ.get("DOCUMENT_BUCKET", "documents")
+BEDROCK_REGION = os.environ.get("BEDROCK_REGION", "us-east-1")
 
-s3_client = boto3.client("s3")
+s3_client = boto3.client("s3", BEDROCK_REGION)
 
 
 def delete_from_postgres(bot_id: str):
diff --git a/backend/app/repositories/conversation.py b/backend/app/repositories/conversation.py
index 3a9855ec7..b0d4c7b96 100644
--- a/backend/app/repositories/conversation.py
+++ b/backend/app/repositories/conversation.py
@@ -27,11 +27,13 @@
 
 logger = logging.getLogger(__name__)
 logger.setLevel(logging.DEBUG)
-s3_client = boto3.client("s3")
 
 THRESHOLD_LARGE_MESSAGE = 300 * 1024  # 300KB
 LARGE_MESSAGE_BUCKET = os.environ.get("LARGE_MESSAGE_BUCKET")
 
+BEDROCK_REGION = os.environ.get("BEDROCK_REGION", "us-east-1")
+s3_client = boto3.client("s3", BEDROCK_REGION)
+
 
 def store_conversation(
     user_id: str, conversation: ConversationModel, threshold=THRESHOLD_LARGE_MESSAGE
diff --git a/backend/app/repositories/custom_bot.py b/backend/app/repositories/custom_bot.py
index f25d3cf3c..163367a6c 100644
--- a/backend/app/repositories/custom_bot.py
+++ b/backend/app/repositories/custom_bot.py
@@ -31,6 +31,7 @@
     KnowledgeModel,
     SearchParamsModel,
 )
+from app.repositories.models.custom_bot_guardrails import BedrockGuardrailsModel
 from app.repositories.models.custom_bot_kb import BedrockKnowledgeBaseModel
 from app.routes.schemas.bot import type_sync_status
 from app.utils import get_current_time
@@ -50,6 +51,18 @@
 sts_client = boto3.client("sts")
 
 
+class BotNotFoundException(Exception):
+    """Exception raised when a bot is not found."""
+
+    pass
+
+
+class BotUpdateError(Exception):
+    """Exception raised when there's an error updating a bot."""
+
+    pass
+
+
 def store_bot(user_id: str, custom_bot: BotModel):
     table = _get_table_client(user_id)
     logger.info(f"Storing bot: {custom_bot}")
@@ -81,6 +94,8 @@ def store_bot(user_id: str, custom_bot: BotModel):
     }
     if custom_bot.bedrock_knowledge_base:
         item["BedrockKnowledgeBase"] = custom_bot.bedrock_knowledge_base.model_dump()
+    if custom_bot.bedrock_guardrails:
+        item["GuardrailsParams"] = custom_bot.bedrock_guardrails.model_dump()
 
     response = table.put_item(Item=item)
     return response
@@ -102,6 +117,7 @@ def update_bot(
     display_retrieved_chunks: bool,
     conversation_quick_starters: list[ConversationQuickStarterModel],
     bedrock_knowledge_base: BedrockKnowledgeBaseModel | None = None,
+    bedrock_guardrails: BedrockGuardrailsModel | None = None,
 ):
     """Update bot title, description, and instruction.
     NOTE: Use `update_bot_visibility` to update visibility.
@@ -146,6 +162,12 @@ def update_bot(
             bedrock_knowledge_base.model_dump()
         )
 
+    if bedrock_guardrails:
+        update_expression += ", GuardrailsParams = :bedrock_guardrails"
+        expression_attribute_values[":bedrock_guardrails"] = (
+            bedrock_guardrails.model_dump()
+        )
+
     try:
         response = table.update_item(
             Key={"PK": user_id, "SK": compose_bot_id(user_id, bot_id)},
@@ -291,6 +313,33 @@ def update_knowledge_base_id(
     return response
 
 
+def update_guardrails_params(
+    user_id: str, bot_id: str, guardrail_arn: str, guardrail_version: str
+):
+    logger.info("update_guardrails_params")
+    table = _get_table_client(user_id)
+
+    try:
+        response = table.update_item(
+            Key={"PK": user_id, "SK": compose_bot_id(user_id, bot_id)},
+            UpdateExpression="SET GuardrailsParams.guardrail_arn = :guardrail_arn, GuardrailsParams.guardrail_version = :guardrail_version",
+            ExpressionAttributeValues={
+                ":guardrail_arn": guardrail_arn,
+                ":guardrail_version": guardrail_version,
+            },
+            ConditionExpression="attribute_exists(PK) AND attribute_exists(SK)",
+            ReturnValues="ALL_NEW",
+        )
+        logger.info(f"Updated guardrails_arn for bot: {bot_id} successfully")
+    except ClientError as e:
+        if e.response["Error"]["Code"] == "ConditionalCheckFailedException":
+            raise RecordNotFoundError(f"Bot with id {bot_id} not found")
+        else:
+            raise e
+
+    return response
+
+
 def find_private_bots_by_user_id(
     user_id: str, limit: int | None = None
 ) -> list[BotMeta]:
@@ -461,6 +510,11 @@ def find_private_bot_by_id(user_id: str, bot_id: str) -> BotModel:
             if "BedrockKnowledgeBase" in item
             else None
         ),
+        bedrock_guardrails=(
+            BedrockGuardrailsModel(**item["GuardrailsParams"])
+            if "GuardrailsParams" in item
+            else None
+        ),
     )
 
     logger.info(f"Found bot: {bot}")
@@ -554,6 +608,11 @@ def find_public_bot_by_id(bot_id: str) -> BotModel:
             if "BedrockKnowledgeBase" in item
             else None
         ),
+        bedrock_guardrails=(
+            BedrockGuardrailsModel(**item["GuardrailsParams"])
+            if "GuardrailsParams" in item
+            else None
+        ),
     )
     logger.info(f"Found public bot: {bot}")
     return bot
diff --git a/backend/app/repositories/models/custom_bot.py b/backend/app/repositories/models/custom_bot.py
index fb56fb796..c727d770c 100644
--- a/backend/app/repositories/models/custom_bot.py
+++ b/backend/app/repositories/models/custom_bot.py
@@ -1,5 +1,6 @@
 from app.repositories.models.common import Float
 from app.repositories.models.custom_bot_kb import BedrockKnowledgeBaseModel
+from app.repositories.models.custom_bot_guardrails import BedrockGuardrailsModel
 from app.routes.schemas.bot import type_sync_status
 from pydantic import BaseModel
 
@@ -88,6 +89,7 @@ class BotModel(BaseModel):
     display_retrieved_chunks: bool
     conversation_quick_starters: list[ConversationQuickStarterModel]
     bedrock_knowledge_base: BedrockKnowledgeBaseModel | None
+    bedrock_guardrails: BedrockGuardrailsModel | None
 
     def has_knowledge(self) -> bool:
         return (
diff --git a/backend/app/repositories/models/custom_bot_guardrails.py b/backend/app/repositories/models/custom_bot_guardrails.py
new file mode 100644
index 000000000..eb4e54827
--- /dev/null
+++ b/backend/app/repositories/models/custom_bot_guardrails.py
@@ -0,0 +1,16 @@
+from decimal import Decimal
+from pydantic import BaseModel
+from app.repositories.models.common import Float
+
+
+class BedrockGuardrailsModel(BaseModel):
+    is_guardrail_enabled: bool
+    hate_threshold: int
+    insults_threshold: int
+    sexual_threshold: int
+    violence_threshold: int
+    misconduct_threshold: int
+    grounding_threshold: Float
+    relevance_threshold: Float
+    guardrail_arn: str
+    guardrail_version: str
diff --git a/backend/app/routes/bot.py b/backend/app/routes/bot.py
index c7d1cdeb0..9ba4eaa46 100644
--- a/backend/app/routes/bot.py
+++ b/backend/app/routes/bot.py
@@ -23,6 +23,7 @@
     GenerationParams,
     Knowledge,
     SearchParams,
+    BedrockGuardrailsOutput,
 )
 from app.usecases.bot import (
     create_new_bot,
@@ -180,6 +181,11 @@ def get_private_bot(request: Request, bot_id: str):
             if bot.bedrock_knowledge_base
             else None
         ),
+        bedrock_guardrails=(
+            BedrockGuardrailsOutput(**bot.bedrock_guardrails.model_dump())
+            if bot.bedrock_guardrails
+            else None
+        ),
     )
     return output
 
diff --git a/backend/app/routes/schemas/bot.py b/backend/app/routes/schemas/bot.py
index c318e678e..0ab40e68f 100644
--- a/backend/app/routes/schemas/bot.py
+++ b/backend/app/routes/schemas/bot.py
@@ -7,6 +7,10 @@
     BedrockKnowledgeBaseInput,
     BedrockKnowledgeBaseOutput,
 )
+from app.routes.schemas.bot_guardrails import (
+    BedrockGuardrailsInput,
+    BedrockGuardrailsOutput,
+)
 from pydantic import Field, root_validator, validator
 
 if TYPE_CHECKING:
@@ -109,6 +113,7 @@ class BotInput(BaseSchema):
     display_retrieved_chunks: bool
     conversation_quick_starters: list[ConversationQuickStarter] | None
     bedrock_knowledge_base: BedrockKnowledgeBaseInput | None = None
+    bedrock_guardrails: BedrockGuardrailsInput | None = None
 
 
 class BotModifyInput(BaseSchema):
@@ -123,6 +128,7 @@ class BotModifyInput(BaseSchema):
     display_retrieved_chunks: bool
     conversation_quick_starters: list[ConversationQuickStarter] | None
     bedrock_knowledge_base: BedrockKnowledgeBaseInput | None = None
+    bedrock_guardrails: BedrockGuardrailsInput | None = None
 
     def has_update_files(self) -> bool:
         return self.knowledge is not None and (
@@ -130,6 +136,34 @@ def has_update_files(self) -> bool:
             or len(self.knowledge.deleted_filenames) > 0
         )
 
+    def guardrails_update_required(self, current_bot_model: BotModel) -> bool:
+        # Check if self.bedrock_guardrails is None
+        if not self.bedrock_guardrails:
+            return False
+
+        # Check if guardrails are enabled or any of the settings have changed
+        if self.bedrock_guardrails.is_guardrail_enabled == True or (
+            current_bot_model.bedrock_guardrails
+            and (
+                self.bedrock_guardrails.is_guardrail_enabled
+                != current_bot_model.bedrock_guardrails.is_guardrail_enabled
+                or self.bedrock_guardrails.hate_threshold
+                != current_bot_model.bedrock_guardrails.hate_threshold
+                or self.bedrock_guardrails.insults_threshold
+                != current_bot_model.bedrock_guardrails.insults_threshold
+                or self.bedrock_guardrails.sexual_threshold
+                != current_bot_model.bedrock_guardrails.sexual_threshold
+                or self.bedrock_guardrails.grounding_threshold
+                != current_bot_model.bedrock_guardrails.grounding_threshold
+                or self.bedrock_guardrails.relevance_threshold
+                != current_bot_model.bedrock_guardrails.relevance_threshold
+            )
+        ):
+            return True
+
+        # If none of the conditions above are met, guardrails are not required
+        return False
+
     def is_embedding_required(self, current_bot_model: BotModel) -> bool:
         if self.has_update_files():
             return True
@@ -178,6 +212,7 @@ class BotModifyOutput(BaseSchema):
     knowledge: Knowledge
     conversation_quick_starters: list[ConversationQuickStarter]
     bedrock_knowledge_base: BedrockKnowledgeBaseOutput | None
+    bedrock_guardrails: BedrockGuardrailsOutput | None
 
 
 class BotOutput(BaseSchema):
@@ -202,6 +237,7 @@ class BotOutput(BaseSchema):
     display_retrieved_chunks: bool
     conversation_quick_starters: list[ConversationQuickStarter]
     bedrock_knowledge_base: BedrockKnowledgeBaseOutput | None
+    bedrock_guardrails: BedrockGuardrailsOutput | None
 
 
 class BotMetaOutput(BaseSchema):
diff --git a/backend/app/routes/schemas/bot_guardrails.py b/backend/app/routes/schemas/bot_guardrails.py
new file mode 100644
index 000000000..13f9ed4d0
--- /dev/null
+++ b/backend/app/routes/schemas/bot_guardrails.py
@@ -0,0 +1,29 @@
+from decimal import Decimal
+from app.routes.schemas.base import BaseSchema
+from app.repositories.models.common import Float
+
+
+class BedrockGuardrailsInput(BaseSchema):
+    is_guardrail_enabled: bool
+    hate_threshold: int
+    insults_threshold: int
+    sexual_threshold: int
+    violence_threshold: int
+    misconduct_threshold: int
+    grounding_threshold: Float
+    relevance_threshold: Float
+    guardrail_arn: str
+    guardrail_version: str
+
+
+class BedrockGuardrailsOutput(BaseSchema):
+    is_guardrail_enabled: bool
+    hate_threshold: int
+    insults_threshold: int
+    sexual_threshold: int
+    violence_threshold: int
+    misconduct_threshold: int
+    grounding_threshold: Float
+    relevance_threshold: Float
+    guardrail_arn: str
+    guardrail_version: str
diff --git a/backend/app/stream.py b/backend/app/stream.py
index 237e9fe33..d2e4ff19a 100644
--- a/backend/app/stream.py
+++ b/backend/app/stream.py
@@ -3,10 +3,11 @@
 
 from app.bedrock import ConverseApiRequest, calculate_price, get_model_id
 from app.routes.schemas.conversation import type_model_name
-from app.utils import get_bedrock_client
+from app.utils import get_bedrock_runtime_client
 from pydantic import BaseModel
 
 logger = logging.getLogger(__name__)
+logger.setLevel(logging.INFO)
 
 
 class OnStopInput(BaseModel):
@@ -51,29 +52,41 @@ def bind(
         return self
 
     def run(self, args: ConverseApiRequest):
-        print("args", args)
-        client = get_bedrock_client()
-        response = client.converse_stream(
-            modelId=args["model_id"],
-            messages=args["messages"],
-            inferenceConfig=args["inference_config"],
-            system=args["system"],
-        )
+        client = get_bedrock_runtime_client()
+        response = None
+        try:
+            base_args = {
+                "modelId": args["model_id"],
+                "messages": args["messages"],
+                "inferenceConfig": args["inference_config"],
+                "system": args["system"],
+                # for topK
+                "additionalModelRequestFields": args["additional_model_request_fields"],
+            }
+
+            if "guardrailConfig" in args:
+                base_args["guardrailConfig"] = args["guardrailConfig"]  # type: ignore
+
+            logger.info(f"args for converse_stream: {args}")
+            response = client.converse_stream(**base_args)
+        except Exception as e:
+            logger.error(f"Error: {e}")
+            raise e
 
         completions = []
         stop_reason = ""
         for event in response["stream"]:
             if "contentBlockDelta" in event:
-                print(f"event: {event}")
+                logger.debug(f"event: {event}")
                 text = event["contentBlockDelta"]["delta"]["text"]
                 completions.append(text)
                 response = self.on_stream(text)
                 yield response
             elif "messageStop" in event:
-                print(f"event: {event}")
+                logger.debug(f"event: {event}")
                 stop_reason = event["messageStop"]["stopReason"]
             elif "metadata" in event:
-                print(f"event: {event}")
+                logger.debug(f"event: {event}")
                 metadata = event["metadata"]
                 usage = metadata["usage"]
                 input_token_count = usage["inputTokens"]
@@ -91,4 +104,5 @@ def run(self, args: ConverseApiRequest):
                         price=price,
                     )
                 )
+                logger.info(f"event of converse_stream: {event}")
                 yield response
diff --git a/backend/app/usecases/bot.py b/backend/app/usecases/bot.py
index f4c8007b0..3a5c31014 100644
--- a/backend/app/usecases/bot.py
+++ b/backend/app/usecases/bot.py
@@ -38,6 +38,7 @@
     SearchParamsModel,
 )
 from app.repositories.models.custom_bot_kb import BedrockKnowledgeBaseModel
+from app.repositories.models.custom_bot_guardrails import BedrockGuardrailsModel
 from app.routes.schemas.bot import (
     Agent,
     AgentTool,
@@ -54,6 +55,7 @@
     type_sync_status,
 )
 from app.routes.schemas.bot_kb import BedrockKnowledgeBaseOutput
+from app.routes.schemas.bot_guardrails import BedrockGuardrailsOutput
 from app.utils import (
     compose_upload_document_s3_path,
     compose_upload_temp_s3_path,
@@ -106,7 +108,14 @@ def create_new_bot(user_id: str, bot_input: BotInput) -> BotOutput:
         or len(bot_input.knowledge.filenames) > 0
         or len(bot_input.knowledge.s3_urls) > 0
     )
-    sync_status: type_sync_status = "QUEUED" if has_knowledge else "SUCCEEDED"
+
+    has_guardrails = (
+        bot_input.bedrock_guardrails
+        and bot_input.bedrock_guardrails.is_guardrail_enabled == True
+    )
+    sync_status: type_sync_status = (
+        "QUEUED" if has_knowledge or has_guardrails else "SUCCEEDED"
+    )
 
     source_urls = []
     sitemap_urls = []
@@ -221,6 +230,11 @@ def create_new_bot(user_id: str, bot_input: BotInput) -> BotOutput:
                 if bot_input.bedrock_knowledge_base
                 else None
             ),
+            bedrock_guardrails=(
+                BedrockGuardrailsModel(**(bot_input.bedrock_guardrails.model_dump()))
+                if bot_input.bedrock_guardrails
+                else None
+            ),
         ),
     )
     return BotOutput(
@@ -274,6 +288,11 @@ def create_new_bot(user_id: str, bot_input: BotInput) -> BotOutput:
             if bot_input.bedrock_knowledge_base
             else None
         ),
+        bedrock_guardrails=(
+            BedrockGuardrailsOutput(**(bot_input.bedrock_guardrails.model_dump()))
+            if bot_input.bedrock_guardrails
+            else None
+        ),
     )
 
 
@@ -357,7 +376,12 @@ def modify_owned_bot(
     # 'sync_status = "QUEUED"' will execute embeding process and update dynamodb record.
     # 'sync_status= "SUCCEEDED"' will update only dynamodb record.
     bot = find_private_bot_by_id(user_id, bot_id)
-    sync_status = "QUEUED" if modify_input.is_embedding_required(bot) else "SUCCEEDED"
+    sync_status = (
+        "QUEUED"
+        if modify_input.is_embedding_required(bot)
+        or modify_input.guardrails_update_required(bot)
+        else "SUCCEEDED"
+    )
 
     update_bot(
         user_id,
@@ -400,6 +424,11 @@ def modify_owned_bot(
             if modify_input.bedrock_knowledge_base
             else None
         ),
+        bedrock_guardrails=(
+            BedrockGuardrailsModel(**modify_input.bedrock_guardrails.model_dump())
+            if modify_input.bedrock_guardrails
+            else None
+        ),
     )
 
     return BotModifyOutput(
@@ -444,6 +473,11 @@ def modify_owned_bot(
             if modify_input.bedrock_knowledge_base
             else None
         ),
+        bedrock_guardrails=(
+            BedrockGuardrailsOutput(**modify_input.bedrock_guardrails.model_dump())
+            if modify_input.bedrock_guardrails
+            else None
+        ),
     )
 
 
diff --git a/backend/app/usecases/chat.py b/backend/app/usecases/chat.py
index 4d3d7fa3a..17c5a9b0b 100644
--- a/backend/app/usecases/chat.py
+++ b/backend/app/usecases/chat.py
@@ -46,6 +46,7 @@
     filter_used_results,
     get_source_link,
     search_related_docs,
+    to_guardrails_grounding_source,
 )
 from ulid import ULID
 
@@ -311,6 +312,12 @@ def chat(user_id: str, chat_input: ChatInput) -> ChatOutput:
         if not chat_input.continue_generate:
             messages.append(MessageModel.from_message_input(chat_input.message))
 
+        # Guardrails
+        guardrail = bot.bedrock_guardrails if bot else None
+        grounding_source = None
+        if guardrail and guardrail.is_guardrail_enabled:
+            grounding_source = to_guardrails_grounding_source(search_results)
+
         # Create payload to invoke Bedrock
         args = compose_args_for_converse_api(
             messages=messages,
@@ -321,8 +328,9 @@ def chat(user_id: str, chat_input: ChatInput) -> ChatOutput:
                 else None  # type: ignore[union-attr]
             ),
             generation_params=(bot.generation_params if bot else None),
+            grounding_source=grounding_source,
+            guardrail=guardrail,
         )
-
         converse_response = call_converse_api(args)
         reply_txt = converse_response["output"]["message"]["content"][0].get("text", "")
         reply_txt = reply_txt.rstrip()
@@ -484,15 +492,13 @@ def propose_conversation_title(
     )
     messages.append(new_message)
 
-    print(f"messages: {messages}")
     # Invoke Bedrock
     args = compose_args_for_converse_api(
         messages=messages,
         model=model,
     )
-    print(f"args: {args}")
     response = call_converse_api(args)
-    reply_txt = response["output"]["message"]["content"][0]["text"]
+    reply_txt = response["output"]["message"]["content"][0].get("text", "")
 
     return reply_txt
 
diff --git a/backend/app/utils.py b/backend/app/utils.py
index 58e789051..dc4edb25b 100644
--- a/backend/app/utils.py
+++ b/backend/app/utils.py
@@ -1,15 +1,22 @@
 import json
 import logging
 import os
-import re
 from datetime import datetime
-from typing import Any, List, Literal
+from typing import Any, Literal
 
 import boto3
 import pg8000
 from aws_lambda_powertools.utilities import parameters
 from botocore.client import Config
 from botocore.exceptions import ClientError
+from boto3.dynamodb.conditions import Key
+from app.repositories.common import (
+    _get_table_client,
+    _get_table_public_client,
+    compose_bot_id,
+    RecordNotFoundError,
+)
+from app.repositories.models.custom_bot_guardrails import BedrockGuardrailsModel
 
 logger = logging.getLogger(__name__)
 
@@ -41,11 +48,16 @@ def is_running_on_lambda():
 
 
 def get_bedrock_client(region=BEDROCK_REGION):
+    client = boto3.client("bedrock", region)
+    return client
+
+
+def get_bedrock_runtime_client(region=BEDROCK_REGION):
     client = boto3.client("bedrock-runtime", region)
     return client
 
 
-def get_bedrock_agent_client(region=REGION):
+def get_bedrock_agent_client(region=BEDROCK_REGION):
     client = boto3.client("bedrock-agent-runtime", region)
     return client
 
@@ -65,7 +77,7 @@ def generate_presigned_url(
     # See: https://github.com/boto/boto3/issues/421#issuecomment-1849066655
     client = boto3.client(
         "s3",
-        region_name=REGION,
+        region_name=BEDROCK_REGION,
         config=Config(signature_version="v4", s3={"addressing_style": "path"}),
     )
     params = {"Bucket": bucket, "Key": key}
@@ -101,7 +113,7 @@ def compose_upload_document_s3_path(user_id: str, bot_id: str, filename: str) ->
 
 
 def delete_file_from_s3(bucket: str, key: str):
-    client = boto3.client("s3")
+    client = boto3.client("s3", BEDROCK_REGION)
 
     # Check if the file exists
     try:
@@ -118,7 +130,7 @@ def delete_file_from_s3(bucket: str, key: str):
 
 def delete_files_with_prefix_from_s3(bucket: str, prefix: str):
     """Delete all objects with the given prefix from the given bucket."""
-    client = boto3.client("s3")
+    client = boto3.client("s3", BEDROCK_REGION)
     response = client.list_objects_v2(Bucket=bucket, Prefix=prefix)
 
     if "Contents" not in response:
@@ -129,7 +141,7 @@ def delete_files_with_prefix_from_s3(bucket: str, prefix: str):
 
 
 def check_if_file_exists_in_s3(bucket: str, key: str):
-    client = boto3.client("s3")
+    client = boto3.client("s3", BEDROCK_REGION)
 
     # Check if the file exists
     try:
@@ -144,7 +156,7 @@ def check_if_file_exists_in_s3(bucket: str, key: str):
 
 
 def move_file_in_s3(bucket: str, key: str, new_key: str):
-    client = boto3.client("s3")
+    client = boto3.client("s3", BEDROCK_REGION)
 
     # Check if the file exists
     try:
diff --git a/backend/app/vector_search.py b/backend/app/vector_search.py
index a1d8f3f8c..4d19f3c5d 100644
--- a/backend/app/vector_search.py
+++ b/backend/app/vector_search.py
@@ -21,6 +21,19 @@ class SearchResult(BaseModel):
     rank: int
 
 
+def to_guardrails_grounding_source(
+    search_results: list[SearchResult],
+) -> dict:
+    """Convert search results to Guardrails Grounding source format."""
+    grounding_source = {
+        "text": {
+            "text": "\n\n".join(x.content for x in search_results),
+            "qualifiers": ["grounding_source"],
+        }
+    }
+    return grounding_source
+
+
 def filter_used_results(
     generated_text: str, search_results: list[SearchResult]
 ) -> list[SearchResult]:
diff --git a/backend/app/websocket.py b/backend/app/websocket.py
index 4009ae7c4..d7c7dc465 100644
--- a/backend/app/websocket.py
+++ b/backend/app/websocket.py
@@ -11,7 +11,11 @@
 from app.agents.tools.knowledge import create_knowledge_tool
 from app.agents.utils import get_tool_by_name
 from app.auth import verify_token
-from app.bedrock import ConverseApiToolResult, compose_args_for_converse_api
+from app.bedrock import (
+    ConverseApiRequest,
+    ConverseApiToolResult,
+    compose_args_for_converse_api,
+)
 from app.repositories.conversation import RecordNotFoundError, store_conversation
 from app.repositories.models.conversation import (
     AgentToolUseContentModel,
@@ -26,7 +30,12 @@
 from app.usecases.bot import modify_bot_last_used_time
 from app.usecases.chat import insert_knowledge, prepare_conversation, trace_to_root
 from app.utils import get_current_time
-from app.vector_search import filter_used_results, get_source_link, search_related_docs
+from app.vector_search import (
+    filter_used_results,
+    get_source_link,
+    search_related_docs,
+    to_guardrails_grounding_source,
+)
 from boto3.dynamodb.conditions import Attr, Key
 from ulid import ULID
 
@@ -282,16 +291,23 @@ def process_chat_input(
     if not chat_input.continue_generate:
         messages.append(chat_input.message)  # type: ignore
 
+    # Guardrails
+    guardrail = bot.bedrock_guardrails if bot else None
+    grounding_source = None
+    if guardrail and guardrail.is_guardrail_enabled:
+        grounding_source = to_guardrails_grounding_source(search_results)
+
     args = compose_args_for_converse_api(
-        messages,
-        chat_input.message.model,
+        messages=messages,
+        model=chat_input.message.model,
         instruction=(
-            message_map["instruction"].content[0].body  # type: ignore[union-attr]
+            message_map["instruction"].content[0].body
             if "instruction" in message_map
-            else None
+            else None  # type: ignore[union-attr]
         ),
-        stream=True,
         generation_params=(bot.generation_params if bot else None),
+        grounding_source=grounding_source,
+        guardrail=guardrail,
     )
 
     stream_handler = ConverseApiStreamHandler(
diff --git a/backend/embedding/loaders/s3.py b/backend/embedding/loaders/s3.py
index 148aac9f1..0880719cb 100644
--- a/backend/embedding/loaders/s3.py
+++ b/backend/embedding/loaders/s3.py
@@ -2,7 +2,6 @@
 import tempfile
 import logging
 import boto3
-from distutils.util import strtobool
 from embedding.loaders.base import BaseLoader, Document
 from unstructured.partition.auto import partition
 from unstructured.partition.pdf import partition_pdf
@@ -10,6 +9,8 @@
 logger = logging.getLogger(__name__)
 logger.setLevel(logging.DEBUG)
 
+BEDROCK_REGION = os.environ.get("BEDROCK_REGION", "us-east-1")
+
 
 class S3FileLoader(BaseLoader):
     """Loads a document from a file in S3.
@@ -30,7 +31,7 @@ def __init__(
 
     def _get_elements(self) -> list:
         """Get elements."""
-        s3 = boto3.client("s3")
+        s3 = boto3.client("s3", BEDROCK_REGION)
         with tempfile.TemporaryDirectory() as temp_dir:
             file_path = f"{temp_dir}/{self.key}"
             os.makedirs(os.path.dirname(file_path), exist_ok=True)
diff --git a/backend/embedding/poetry.lock b/backend/embedding/poetry.lock
index f26a3b3fd..15517b37f 100644
--- a/backend/embedding/poetry.lock
+++ b/backend/embedding/poetry.lock
@@ -2,113 +2,113 @@
 
 [[package]]
 name = "aiohappyeyeballs"
-version = "2.4.0"
+version = "2.4.3"
 description = "Happy Eyeballs for asyncio"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "aiohappyeyeballs-2.4.0-py3-none-any.whl", hash = "sha256:7ce92076e249169a13c2f49320d1967425eaf1f407522d707d59cac7628d62bd"},
-    {file = "aiohappyeyeballs-2.4.0.tar.gz", hash = "sha256:55a1714f084e63d49639800f95716da97a1f173d46a16dfcfda0016abb93b6b2"},
+    {file = "aiohappyeyeballs-2.4.3-py3-none-any.whl", hash = "sha256:8a7a83727b2756f394ab2895ea0765a0a8c475e3c71e98d43d76f22b4b435572"},
+    {file = "aiohappyeyeballs-2.4.3.tar.gz", hash = "sha256:75cf88a15106a5002a8eb1dab212525c00d1f4c0fa96e551c9fbe6f09a621586"},
 ]
 
 [[package]]
 name = "aiohttp"
-version = "3.10.5"
+version = "3.10.8"
 description = "Async http client/server framework (asyncio)"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -117,7 +117,7 @@ aiosignal = ">=1.1.2"
 attrs = ">=17.3.0"
 frozenlist = ">=1.1.1"
 multidict = ">=4.5,<7.0"
-yarl = ">=1.0,<2.0"
+yarl = ">=1.12.0,<2.0"
 
 [package.extras]
 speedups = ["Brotli", "aiodns (>=3.2.0)", "brotlicffi"]
@@ -159,13 +159,13 @@ files = [
 
 [[package]]
 name = "anyio"
-version = "4.4.0"
+version = "4.6.0"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
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 ]
 
 [package.dependencies]
@@ -173,9 +173,9 @@ idna = ">=2.8"
 sniffio = ">=1.1"
 
 [package.extras]
-doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
-test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"]
-trio = ["trio (>=0.23)"]
+doc = ["Sphinx (>=7.4,<8.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
+test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.21.0b1)"]
+trio = ["trio (>=0.26.1)"]
 
 [[package]]
 name = "asn1crypto"
@@ -310,17 +310,17 @@ uvloop = ["uvloop (>=0.15.2)"]
 
 [[package]]
 name = "boto3"
-version = "1.35.10"
+version = "1.35.33"
 description = "The AWS SDK for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
-botocore = ">=1.35.10,<1.36.0"
+botocore = ">=1.35.33,<1.36.0"
 jmespath = ">=0.7.1,<2.0.0"
 s3transfer = ">=0.10.0,<0.11.0"
 
@@ -329,13 +329,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
 
 [[package]]
 name = "botocore"
-version = "1.35.10"
+version = "1.35.33"
 description = "Low-level, data-driven core of boto 3."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -344,7 +344,7 @@ python-dateutil = ">=2.1,<3.0.0"
 urllib3 = {version = ">=1.25.4,<2.2.0 || >2.2.0,<3", markers = "python_version >= \"3.10\""}
 
 [package.extras]
-crt = ["awscrt (==0.21.2)"]
+crt = ["awscrt (==0.22.0)"]
 
 [[package]]
 name = "cachetools"
@@ -370,78 +370,78 @@ files = [
 
 [[package]]
 name = "cffi"
-version = "1.17.0"
+version = "1.17.1"
 description = "Foreign Function Interface for Python calling C code."
 optional = false
 python-versions = ">=3.8"
 files = [
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 [package.extras]
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@@ -869,18 +869,15 @@ torchvision = "*"
 
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 name = "filetype"
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 [package.extras]
-protobuf = ["grpcio-tools (>=1.66.1)"]
+protobuf = ["grpcio-tools (>=1.66.2)"]
 
 [[package]]
 name = "grpcio-status"
-version = "1.66.1"
+version = "1.66.2"
 description = "Status proto mapping for gRPC"
 optional = false
 python-versions = ">=3.8"
 files = [
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 [package.dependencies]
 googleapis-common-protos = ">=1.5.5"
-grpcio = ">=1.66.1"
+grpcio = ">=1.66.2"
 protobuf = ">=5.26.1,<6.0dev"
 
 [[package]]
@@ -1363,13 +1375,13 @@ files = [
 
 [[package]]
 name = "httpcore"
-version = "1.0.5"
+version = "1.0.6"
 description = "A minimal low-level HTTP client."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -1380,7 +1392,7 @@ h11 = ">=0.13,<0.15"
 asyncio = ["anyio (>=4.0,<5.0)"]
 http2 = ["h2 (>=3,<5)"]
 socks = ["socksio (==1.*)"]
-trio = ["trio (>=0.22.0,<0.26.0)"]
+trio = ["trio (>=0.22.0,<1.0)"]
 
 [[package]]
 name = "httpx"
@@ -1409,13 +1421,13 @@ zstd = ["zstandard (>=0.18.0)"]
 
 [[package]]
 name = "huggingface-hub"
-version = "0.24.6"
+version = "0.25.1"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
 optional = false
 python-versions = ">=3.8.0"
 files = [
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 ]
 
 [package.dependencies]
@@ -1457,15 +1469,18 @@ pyreadline3 = {version = "*", markers = "sys_platform == \"win32\" and python_ve
 
 [[package]]
 name = "idna"
-version = "3.8"
+version = "3.10"
 description = "Internationalized Domain Names in Applications (IDNA)"
 optional = false
 python-versions = ">=3.6"
 files = [
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 ]
 
+[package.extras]
+all = ["flake8 (>=7.1.1)", "mypy (>=1.11.2)", "pytest (>=8.3.2)", "ruff (>=0.6.2)"]
+
 [[package]]
 name = "iopath"
 version = "0.1.10"
@@ -1606,115 +1621,125 @@ files = [
 
 [[package]]
 name = "kiwisolver"
-version = "1.4.5"
+version = "1.4.7"
 description = "A fast implementation of the Cassowary constraint solver"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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 [package.dependencies]
@@ -2852,40 +2879,40 @@ numpy = ">=1.20"
 protobuf = ">=3.20.2"
 
 [package.extras]
-reference = ["google-re2", "pillow"]
+reference = ["Pillow", "google-re2"]
 
 [[package]]
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 optional = false
 python-versions = "*"
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 ]
 
 [package.dependencies]
@@ -2898,13 +2925,13 @@ sympy = "*"
 
 [[package]]
 name = "openai"
-version = "1.43.0"
+version = "1.51.0"
 description = "The official Python library for the openai API"
 optional = false
 python-versions = ">=3.7.1"
 files = [
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 [package.dependencies]
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 python-versions = ">=3.9"
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 [package.extras]
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 [package.extras]
-full = ["numpy"]
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 [package.dependencies]
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 [package.dependencies]
@@ -4736,111 +4782,111 @@ torchvision = "*"
 
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 name = "tokenizers"
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 description = ""
 optional = false
 python-versions = ">=3.7"
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 [package.dependencies]
@@ -4853,31 +4899,31 @@ testing = ["black (==22.3)", "datasets", "numpy", "pytest", "requests", "ruff"]
 
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 ]
 
 [package.dependencies]
@@ -4896,6 +4942,7 @@ nvidia-cusolver-cu12 = {version = "11.4.5.107", markers = "platform_system == \"
 nvidia-cusparse-cu12 = {version = "12.1.0.106", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
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 nvidia-nvtx-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+setuptools = "*"
 sympy = "*"
 triton = {version = "3.0.0", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and python_version < \"3.13\""}
 typing-extensions = ">=4.8.0"
@@ -4906,42 +4953,37 @@ optree = ["optree (>=0.11.0)"]
 
 [[package]]
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+    {file = "torchvision-0.19.1-cp312-cp312-manylinux1_x86_64.whl", hash = "sha256:c659ff92a61f188a1a7baef2850f3c0b6c85685447453c03d0e645ba8f1dcc1c"},
+    {file = "torchvision-0.19.1-cp312-cp312-manylinux2014_aarch64.whl", hash = "sha256:c07bf43c2a145d792ecd9d0503d6c73577147ece508d45600d8aac77e4cdfcf9"},
+    {file = "torchvision-0.19.1-cp312-cp312-win_amd64.whl", hash = "sha256:b4283d283675556bb0eae31d29996f53861b17cbdcdf3509e6bc050414ac9289"},
+    {file = "torchvision-0.19.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:4c4e4f5b24ea6b087b02ed492ab1e21bba3352c4577e2def14248cfc60732338"},
+    {file = "torchvision-0.19.1-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:9281d63ead929bb19143731154cd1d8bf0b5e9873dff8578a40e90a6bec3c6fa"},
+    {file = "torchvision-0.19.1-cp38-cp38-manylinux2014_aarch64.whl", hash = "sha256:4d10bc9083c4d5fadd7edd7b729700a7be48dab4f62278df3bc73fa48e48a155"},
+    {file = "torchvision-0.19.1-cp38-cp38-win_amd64.whl", hash = "sha256:ccf085ef1824fb9e16f1901285bf89c298c62dfd93267a39e8ee42c71255242f"},
+    {file = "torchvision-0.19.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:731f434d91586769e255b5d70ed1a4457e0a1394a95f4aacf0e1e7e21f80c098"},
+    {file = "torchvision-0.19.1-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:febe4f14d4afcb47cc861d8be7760ab6a123cd0817f97faf5771488cb6aa90f4"},
+    {file = "torchvision-0.19.1-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:e328309b8670a2e889b2fe76a1c2744a099c11c984da9a822357bd9debd699a5"},
+    {file = "torchvision-0.19.1-cp39-cp39-win_amd64.whl", hash = "sha256:6616f12e00a22e7f3fedbd0fccb0804c05e8fe22871668f10eae65cf3f283614"},
 ]
 
 [package.dependencies]
 numpy = "*"
 pillow = ">=5.3.0,<8.3.dev0 || >=8.4.dev0"
-torch = "2.4.0"
+torch = "2.4.1"
 
 [package.extras]
 gdown = ["gdown (>=4.7.3)"]
@@ -4969,13 +5011,13 @@ telegram = ["requests"]
 
 [[package]]
 name = "transformers"
-version = "4.44.2"
+version = "4.45.1"
 description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
 optional = false
 python-versions = ">=3.8.0"
 files = [
-    {file = "transformers-4.44.2-py3-none-any.whl", hash = "sha256:1c02c65e7bfa5e52a634aff3da52138b583fc6f263c1f28d547dc144ba3d412d"},
-    {file = "transformers-4.44.2.tar.gz", hash = "sha256:36aa17cc92ee154058e426d951684a2dab48751b35b49437896f898931270826"},
+    {file = "transformers-4.45.1-py3-none-any.whl", hash = "sha256:21e3f47aa7256dbbfb5215937a3168a984c94432ce3a16b7908265807d62aee8"},
+    {file = "transformers-4.45.1.tar.gz", hash = "sha256:9cace11072172df05ca6a694fcd1f5064a55b63285e492bd88f0ad1cec270f02"},
 ]
 
 [package.dependencies]
@@ -4987,21 +5029,21 @@ pyyaml = ">=5.1"
 regex = "!=2019.12.17"
 requests = "*"
 safetensors = ">=0.4.1"
-tokenizers = ">=0.19,<0.20"
+tokenizers = ">=0.20,<0.21"
 tqdm = ">=4.27"
 
 [package.extras]
-accelerate = ["accelerate (>=0.21.0)"]
-agents = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "datasets (!=2.5.0)", "diffusers", "opencv-python", "sentencepiece (>=0.1.91,!=0.1.92)", "torch"]
-all = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "av (==9.2.0)", "codecarbon (==1.2.0)", "decord (==0.6.0)", "flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "librosa", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "ray[tune] (>=2.7.0)", "scipy (<1.13.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timm (<=0.9.16)", "tokenizers (>=0.19,<0.20)", "torch", "torchaudio", "torchvision"]
+accelerate = ["accelerate (>=0.26.0)"]
+agents = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "datasets (!=2.5.0)", "diffusers", "opencv-python", "sentencepiece (>=0.1.91,!=0.1.92)", "torch"]
+all = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "av (==9.2.0)", "codecarbon (==1.2.0)", "decord (==0.6.0)", "flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "librosa", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "ray[tune] (>=2.7.0)", "scipy (<1.13.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timm (<=0.9.16)", "tokenizers (>=0.20,<0.21)", "torch", "torchaudio", "torchvision"]
 audio = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
-benchmark = ["optimum-benchmark (>=0.2.0)"]
+benchmark = ["optimum-benchmark (>=0.3.0)"]
 codecarbon = ["codecarbon (==1.2.0)"]
-deepspeed = ["accelerate (>=0.21.0)", "deepspeed (>=0.9.3)"]
-deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=0.21.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "deepspeed (>=0.9.3)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk", "optuna", "parameterized", "protobuf", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"]
-dev = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "av (==9.2.0)", "beautifulsoup4", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "decord (==0.6.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flax (>=0.4.1,<=0.7.0)", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "librosa", "nltk", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "scipy (<1.13.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "timm (<=0.9.16)", "tokenizers (>=0.19,<0.20)", "torch", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
-dev-tensorflow = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "isort (>=5.5.4)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "librosa", "nltk", "onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "tokenizers (>=0.19,<0.20)", "urllib3 (<2.0.0)"]
-dev-torch = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "beautifulsoup4", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "kenlm", "librosa", "nltk", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "timeout-decorator", "timm (<=0.9.16)", "tokenizers (>=0.19,<0.20)", "torch", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
+deepspeed = ["accelerate (>=0.26.0)", "deepspeed (>=0.9.3)"]
+deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=0.26.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "deepspeed (>=0.9.3)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk (<=3.8.1)", "optuna", "parameterized", "protobuf", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"]
+dev = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "av (==9.2.0)", "beautifulsoup4", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "decord (==0.6.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flax (>=0.4.1,<=0.7.0)", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "libcst", "librosa", "nltk (<=3.8.1)", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "scipy (<1.13.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "timm (<=0.9.16)", "tokenizers (>=0.20,<0.21)", "torch", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
+dev-tensorflow = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "isort (>=5.5.4)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "libcst", "librosa", "nltk (<=3.8.1)", "onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "tokenizers (>=0.20,<0.21)", "urllib3 (<2.0.0)"]
+dev-torch = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "beautifulsoup4", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "kenlm", "libcst", "librosa", "nltk (<=3.8.1)", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "timeout-decorator", "timm (<=0.9.16)", "tokenizers (>=0.20,<0.21)", "torch", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
 flax = ["flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "optax (>=0.0.8,<=0.1.4)", "scipy (<1.13.0)"]
 flax-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
 ftfy = ["ftfy"]
@@ -5012,7 +5054,7 @@ natten = ["natten (>=0.14.6,<0.15.0)"]
 onnx = ["onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "tf2onnx"]
 onnxruntime = ["onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)"]
 optuna = ["optuna"]
-quality = ["GitPython (<3.1.19)", "datasets (!=2.5.0)", "isort (>=5.5.4)", "ruff (==0.5.1)", "urllib3 (<2.0.0)"]
+quality = ["GitPython (<3.1.19)", "datasets (!=2.5.0)", "isort (>=5.5.4)", "libcst", "rich", "ruff (==0.5.1)", "urllib3 (<2.0.0)"]
 ray = ["ray[tune] (>=2.7.0)"]
 retrieval = ["datasets (!=2.5.0)", "faiss-cpu"]
 ruff = ["ruff (==0.5.1)"]
@@ -5022,16 +5064,17 @@ serving = ["fastapi", "pydantic", "starlette", "uvicorn"]
 sigopt = ["sigopt"]
 sklearn = ["scikit-learn"]
 speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
-testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk", "parameterized", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"]
+testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk (<=3.8.1)", "parameterized", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"]
 tf = ["keras-nlp (>=0.3.1,<0.14.0)", "onnxconverter-common", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx"]
 tf-cpu = ["keras (>2.9,<2.16)", "keras-nlp (>=0.3.1,<0.14.0)", "onnxconverter-common", "tensorflow-cpu (>2.9,<2.16)", "tensorflow-probability (<0.24)", "tensorflow-text (<2.16)", "tf2onnx"]
 tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
+tiktoken = ["blobfile", "tiktoken"]
 timm = ["timm (<=0.9.16)"]
-tokenizers = ["tokenizers (>=0.19,<0.20)"]
-torch = ["accelerate (>=0.21.0)", "torch"]
+tokenizers = ["tokenizers (>=0.20,<0.21)"]
+torch = ["accelerate (>=0.26.0)", "torch"]
 torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
 torch-vision = ["Pillow (>=10.0.1,<=15.0)", "torchvision"]
-torchhub = ["filelock", "huggingface-hub (>=0.23.2,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.19,<0.20)", "torch", "tqdm (>=4.27)"]
+torchhub = ["filelock", "huggingface-hub (>=0.23.2,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.20,<0.21)", "torch", "tqdm (>=4.27)"]
 video = ["av (==9.2.0)", "decord (==0.6.0)"]
 vision = ["Pillow (>=10.0.1,<=15.0)"]
 
@@ -5096,24 +5139,24 @@ typing-extensions = ">=3.7.4"
 
 [[package]]
 name = "tzdata"
-version = "2024.1"
+version = "2024.2"
 description = "Provider of IANA time zone data"
 optional = false
 python-versions = ">=2"
 files = [
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-version = "0.15.9"
+version = "0.15.13"
 description = "A library that prepares raw documents for downstream ML tasks."
 optional = false
 python-versions = "<3.13,>=3.9.0"
 files = [
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 [package.dependencies]
@@ -5165,12 +5208,12 @@ azure-cognitive-search = ["azure-search-documents"]
 bedrock = ["boto3", "langchain-community"]
 biomed = ["bs4"]
 box = ["boxfs", "fsspec"]
-chroma = ["chromadb", "importlib-metadata (>=8.2.0)", "tenacity (==8.5.0)", "typer (<=0.9.0)"]
+chroma = ["chromadb (>0.4.14)", "importlib-metadata (>=8.2.0)", "tenacity (==8.5.0)", "typer (<=0.9.0)"]
 clarifai = ["clarifai"]
 confluence = ["atlassian-python-api"]
 csv = ["pandas"]
 databricks-volumes = ["databricks-sdk"]
-delta-table = ["deltalake", "fsspec"]
+delta-table = ["deltalake (<=0.19.1)", "fsspec"]
 discord = ["discord-py"]
 doc = ["python-docx (>=1.1.2)"]
 docx = ["python-docx (>=1.1.2)"]
@@ -5224,18 +5267,19 @@ xlsx = ["networkx", "openpyxl", "pandas", "xlrd"]
 
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 name = "unstructured-client"
-version = "0.25.6"
+version = "0.25.9"
 description = "Python Client SDK for Unstructured API"
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 python-versions = ">=3.8"
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 [package.dependencies]
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 charset-normalizer = ">=3.2.0"
+cryptography = ">=3.1"
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 deepdiff = ">=6.0"
 httpx = ">=0.27.0"
@@ -5298,13 +5342,13 @@ Pillow = ">=8.0.0"
 
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-version = "2.2.2"
+version = "2.2.3"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
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 python-versions = ">=3.8"
 files = [
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+    {file = "yarl-1.13.1-cp38-cp38-win32.whl", hash = "sha256:dcaef817e13eafa547cdfdc5284fe77970b891f731266545aae08d6cce52161e"},
+    {file = "yarl-1.13.1-cp38-cp38-win_amd64.whl", hash = "sha256:7addd26594e588503bdef03908fc207206adac5bd90b6d4bc3e3cf33a829f57d"},
+    {file = "yarl-1.13.1-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:a0ae6637b173d0c40b9c1462e12a7a2000a71a3258fa88756a34c7d38926911c"},
+    {file = "yarl-1.13.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:576365c9f7469e1f6124d67b001639b77113cfd05e85ce0310f5f318fd02fe85"},
+    {file = "yarl-1.13.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:78f271722423b2d4851cf1f4fa1a1c4833a128d020062721ba35e1a87154a049"},
+    {file = "yarl-1.13.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9d74f3c335cfe9c21ea78988e67f18eb9822f5d31f88b41aec3a1ec5ecd32da5"},
+    {file = "yarl-1.13.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1891d69a6ba16e89473909665cd355d783a8a31bc84720902c5911dbb6373465"},
+    {file = "yarl-1.13.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:fb382fd7b4377363cc9f13ba7c819c3c78ed97c36a82f16f3f92f108c787cbbf"},
+    {file = "yarl-1.13.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9c8854b9f80693d20cec797d8e48a848c2fb273eb6f2587b57763ccba3f3bd4b"},
+    {file = "yarl-1.13.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:bbf2c3f04ff50f16404ce70f822cdc59760e5e2d7965905f0e700270feb2bbfc"},
+    {file = "yarl-1.13.1-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:fb9f59f3848edf186a76446eb8bcf4c900fe147cb756fbbd730ef43b2e67c6a7"},
+    {file = "yarl-1.13.1-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:ef9b85fa1bc91c4db24407e7c4da93a5822a73dd4513d67b454ca7064e8dc6a3"},
+    {file = "yarl-1.13.1-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:098b870c18f1341786f290b4d699504e18f1cd050ed179af8123fd8232513424"},
+    {file = "yarl-1.13.1-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:8c723c91c94a3bc8033dd2696a0f53e5d5f8496186013167bddc3fb5d9df46a3"},
+    {file = "yarl-1.13.1-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:44a4c40a6f84e4d5955b63462a0e2a988f8982fba245cf885ce3be7618f6aa7d"},
+    {file = "yarl-1.13.1-cp39-cp39-win32.whl", hash = "sha256:84bbcdcf393139f0abc9f642bf03f00cac31010f3034faa03224a9ef0bb74323"},
+    {file = "yarl-1.13.1-cp39-cp39-win_amd64.whl", hash = "sha256:fc2931ac9ce9c61c9968989ec831d3a5e6fcaaff9474e7cfa8de80b7aff5a093"},
+    {file = "yarl-1.13.1-py3-none-any.whl", hash = "sha256:6a5185ad722ab4dd52d5fb1f30dcc73282eb1ed494906a92d1a228d3f89607b0"},
+    {file = "yarl-1.13.1.tar.gz", hash = "sha256:ec8cfe2295f3e5e44c51f57272afbd69414ae629ec7c6b27f5a410efc78b70a0"},
 ]
 
 [package.dependencies]
@@ -5541,4 +5585,4 @@ requests = "*"
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.11,<3.12"
-content-hash = "159f317a29d8d54c777400e2c5b728e778fc96c4a4ff3edd5d22465e287595f2"
+content-hash = "b80b72ca20349c28d0050a7cc7c7757458e5378fdf58b4955d60e45308985a05"
diff --git a/backend/embedding/pyproject.toml b/backend/embedding/pyproject.toml
index 1974b3e02..7ec1c9379 100644
--- a/backend/embedding/pyproject.toml
+++ b/backend/embedding/pyproject.toml
@@ -3,7 +3,7 @@ package-mode = false
 
 [tool.poetry.dependencies]
 python = ">=3.11,<3.12"
-boto3 = "^1.28.57"
+boto3 = "^1.35.9"
 llama-index = "^0.10.19"
 pydantic = "^2.4.0"
 youtube-transcript-api = "^0.6.1"
diff --git a/backend/embedding_statemachine/bedrock_knowledge_base/fetch_stack_output.py b/backend/embedding_statemachine/bedrock_knowledge_base/fetch_stack_output.py
index 86609536d..11e532387 100644
--- a/backend/embedding_statemachine/bedrock_knowledge_base/fetch_stack_output.py
+++ b/backend/embedding_statemachine/bedrock_knowledge_base/fetch_stack_output.py
@@ -1,12 +1,12 @@
-import json
+import os
 import boto3
 from app.repositories.custom_bot import (
-    compose_bot_id,
     decompose_bot_id,
-    find_private_bot_by_id,
 )
 
-cf_client = boto3.client("cloudformation")
+BEDROCK_REGION = os.environ.get("BEDROCK_REGION")
+
+cf_client = boto3.client("cloudformation", BEDROCK_REGION)
 
 
 def handler(event, context):
@@ -25,12 +25,18 @@ def handler(event, context):
 
     knowledge_base_id = None
     data_source_ids = []
+    guardrail_arn = None
+    guardrail_version = None
 
     for output in outputs:
         if output["OutputKey"] == "KnowledgeBaseId":
             knowledge_base_id = output["OutputValue"]
         elif output["OutputKey"].startswith("DataSource"):
             data_source_ids.append(output["OutputValue"])
+        elif output["OutputKey"] == "GuardrailArn":
+            guardrail_arn = output["OutputValue"]
+        elif output["OutputKey"] == "GuardrailVersion":
+            guardrail_version = output["OutputValue"]
 
     result = []
     for data_source_id in data_source_ids:
@@ -38,6 +44,10 @@ def handler(event, context):
             {
                 "KnowledgeBaseId": knowledge_base_id,
                 "DataSourceId": data_source_id,
+                "GuardrailArn": guardrail_arn if guardrail_arn != None else "",
+                "GuardrailVersion": (
+                    guardrail_version if guardrail_version != None else ""
+                ),
                 "PK": pk,
                 "SK": sk,
             }
diff --git a/backend/embedding_statemachine/guardrails/store_guardrail_arn.py b/backend/embedding_statemachine/guardrails/store_guardrail_arn.py
new file mode 100644
index 000000000..7af62a8bb
--- /dev/null
+++ b/backend/embedding_statemachine/guardrails/store_guardrail_arn.py
@@ -0,0 +1,35 @@
+import os
+import json
+import logging
+
+import boto3
+from retry import retry
+from app.routes.schemas.bot import type_sync_status
+from app.repositories.common import _get_table_client
+from app.repositories.custom_bot import decompose_bot_id, update_guardrails_params
+from typing import TypedDict
+
+logger = logging.getLogger()
+logger.setLevel(logging.INFO)
+
+
+class StackOutput(TypedDict):
+    KnowledgeBaseId: str
+    DataSourceId: str
+    GuardrailArn: str
+    GuardrailVersion: str
+
+
+def handler(event, context):
+    logger.info(f"Event: {event}")
+    pk = event["pk"]
+    sk = event["sk"]
+    stack_output: list[StackOutput] = event["stack_output"]
+
+    guardrail_arn = stack_output[0]["GuardrailArn"]
+    guardrail_version = stack_output[0]["GuardrailVersion"]
+
+    user_id = pk
+    bot_id = decompose_bot_id(sk)
+
+    update_guardrails_params(user_id, bot_id, guardrail_arn, guardrail_version)
diff --git a/backend/poetry.lock b/backend/poetry.lock
index 4462f0cae..99a7ad151 100644
--- a/backend/poetry.lock
+++ b/backend/poetry.lock
@@ -13,13 +13,13 @@ files = [
 
 [[package]]
 name = "anyio"
-version = "4.4.0"
+version = "4.6.0"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
-    {file = "anyio-4.4.0-py3-none-any.whl", hash = "sha256:c1b2d8f46a8a812513012e1107cb0e68c17159a7a594208005a57dc776e1bdc7"},
-    {file = "anyio-4.4.0.tar.gz", hash = "sha256:5aadc6a1bbb7cdb0bede386cac5e2940f5e2ff3aa20277e991cf028e0585ce94"},
+    {file = "anyio-4.6.0-py3-none-any.whl", hash = "sha256:c7d2e9d63e31599eeb636c8c5c03a7e108d73b345f064f1c19fdc87b79036a9a"},
+    {file = "anyio-4.6.0.tar.gz", hash = "sha256:137b4559cbb034c477165047febb6ff83f390fc3b20bf181c1fc0a728cb8beeb"},
 ]
 
 [package.dependencies]
@@ -27,9 +27,9 @@ idna = ">=2.8"
 sniffio = ">=1.1"
 
 [package.extras]
-doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
-test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"]
-trio = ["trio (>=0.23)"]
+doc = ["Sphinx (>=7.4,<8.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
+test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.21.0b1)"]
+trio = ["trio (>=0.26.1)"]
 
 [[package]]
 name = "argparse"
@@ -124,17 +124,17 @@ uvloop = ["uvloop (>=0.15.2)"]
 
 [[package]]
 name = "boto3"
-version = "1.35.10"
+version = "1.35.33"
 description = "The AWS SDK for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "boto3-1.35.10-py3-none-any.whl", hash = "sha256:add26dd58e076dfd387013da4704716d5cff215cf14f6d4347c4b9b7fc1f0b8e"},
-    {file = "boto3-1.35.10.tar.gz", hash = "sha256:189ab1e2b4cd86df56f82438d89b4040eb140c92683f1bda7cb2e62624f20ea5"},
+    {file = "boto3-1.35.33-py3-none-any.whl", hash = "sha256:4064e95d4035d4d3dd4eb59eaa5908d14d194b512d1dc1d271647b0c661fbdbb"},
+    {file = "boto3-1.35.33.tar.gz", hash = "sha256:d206e8295e856ded7c8fab086784dc17863ed9d735458145c2ef5b25604aef69"},
 ]
 
 [package.dependencies]
-botocore = ">=1.35.10,<1.36.0"
+botocore = ">=1.35.33,<1.36.0"
 jmespath = ">=0.7.1,<2.0.0"
 s3transfer = ">=0.10.0,<0.11.0"
 
@@ -143,13 +143,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
 
 [[package]]
 name = "botocore"
-version = "1.35.10"
+version = "1.35.33"
 description = "Low-level, data-driven core of boto 3."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "botocore-1.35.10-py3-none-any.whl", hash = "sha256:0d96d023b9b0cea99a0a428a431d011329d3a958730aee6ed6a6fec5d9bfbc03"},
-    {file = "botocore-1.35.10.tar.gz", hash = "sha256:6c8a1377b6636a0d80218115e1cd41bcceba0a2f050b79c206f4cf8d002c54d7"},
+    {file = "botocore-1.35.33-py3-none-any.whl", hash = "sha256:b7b1ed59a224616912c7546fa19ffd542c745818179ee0640a8a00b155bcd9cd"},
+    {file = "botocore-1.35.33.tar.gz", hash = "sha256:b149940c59aa318e020191c9e5644361b2371e77d0346a3819728b49d3fa2e4e"},
 ]
 
 [package.dependencies]
@@ -158,7 +158,7 @@ python-dateutil = ">=2.1,<3.0.0"
 urllib3 = {version = ">=1.25.4,<2.2.0 || >2.2.0,<3", markers = "python_version >= \"3.10\""}
 
 [package.extras]
-crt = ["awscrt (==0.21.2)"]
+crt = ["awscrt (==0.22.0)"]
 
 [[package]]
 name = "certifi"
@@ -308,18 +308,18 @@ files = [
 
 [[package]]
 name = "duckduckgo-search"
-version = "6.2.12"
+version = "6.2.13"
 description = "Search for words, documents, images, news, maps and text translation using the DuckDuckGo.com search engine."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "duckduckgo_search-6.2.12-py3-none-any.whl", hash = "sha256:0d379c1f845b632a41553efb13d571788f19ad289229e641a27b5710d92097a6"},
-    {file = "duckduckgo_search-6.2.12.tar.gz", hash = "sha256:04f9f1459763668d268344c7a32d943173d0e060dad53a5c2df4b4d3ca9a74cf"},
+    {file = "duckduckgo_search-6.2.13-py3-none-any.whl", hash = "sha256:a6618fb2744fa1d081b1bf2e47ef8051de993276a15c20f4e879a150726472de"},
+    {file = "duckduckgo_search-6.2.13.tar.gz", hash = "sha256:f89a9782f0f47d18c01a761c83453d0aef7a4335d1b6466fc47709652d5ca791"},
 ]
 
 [package.dependencies]
 click = ">=8.1.7"
-primp = ">=0.6.1"
+primp = ">=0.6.3"
 
 [package.extras]
 dev = ["mypy (>=1.11.1)", "pytest (>=8.3.1)", "pytest-asyncio (>=0.23.8)", "ruff (>=0.6.1)"]
@@ -375,15 +375,18 @@ files = [
 
 [[package]]
 name = "idna"
-version = "3.8"
+version = "3.10"
 description = "Internationalized Domain Names in Applications (IDNA)"
 optional = false
 python-versions = ">=3.6"
 files = [
-    {file = "idna-3.8-py3-none-any.whl", hash = "sha256:050b4e5baadcd44d760cedbd2b8e639f2ff89bbc7a5730fcc662954303377aac"},
-    {file = "idna-3.8.tar.gz", hash = "sha256:d838c2c0ed6fced7693d5e8ab8e734d5f8fda53a039c0164afb0b82e771e3603"},
+    {file = "idna-3.10-py3-none-any.whl", hash = "sha256:946d195a0d259cbba61165e88e65941f16e9b36ea6ddb97f00452bae8b1287d3"},
+    {file = "idna-3.10.tar.gz", hash = "sha256:12f65c9b470abda6dc35cf8e63cc574b1c52b11df2c86030af0ac09b01b13ea9"},
 ]
 
+[package.extras]
+all = ["flake8 (>=7.1.1)", "mypy (>=1.11.2)", "pytest (>=8.3.2)", "ruff (>=0.6.2)"]
+
 [[package]]
 name = "jmespath"
 version = "1.0.1"
@@ -505,35 +508,35 @@ scramp = ">=1.4.5"
 
 [[package]]
 name = "platformdirs"
-version = "4.2.2"
+version = "4.3.6"
 description = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "platformdirs-4.2.2-py3-none-any.whl", hash = "sha256:2d7a1657e36a80ea911db832a8a6ece5ee53d8de21edd5cc5879af6530b1bfee"},
-    {file = "platformdirs-4.2.2.tar.gz", hash = "sha256:38b7b51f512eed9e84a22788b4bce1de17c0adb134d6becb09836e37d8654cd3"},
+    {file = "platformdirs-4.3.6-py3-none-any.whl", hash = "sha256:73e575e1408ab8103900836b97580d5307456908a03e92031bab39e4554cc3fb"},
+    {file = "platformdirs-4.3.6.tar.gz", hash = "sha256:357fb2acbc885b0419afd3ce3ed34564c13c9b95c89360cd9563f73aa5e2b907"},
 ]
 
 [package.extras]
-docs = ["furo (>=2023.9.10)", "proselint (>=0.13)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1.25.2)"]
-test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)"]
-type = ["mypy (>=1.8)"]
+docs = ["furo (>=2024.8.6)", "proselint (>=0.14)", "sphinx (>=8.0.2)", "sphinx-autodoc-typehints (>=2.4)"]
+test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=8.3.2)", "pytest-cov (>=5)", "pytest-mock (>=3.14)"]
+type = ["mypy (>=1.11.2)"]
 
 [[package]]
 name = "primp"
-version = "0.6.1"
+version = "0.6.3"
 description = "HTTP client that can impersonate web browsers, mimicking their headers and `TLS/JA3/JA4/HTTP2` fingerprints"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "primp-0.6.1-cp38-abi3-macosx_10_12_x86_64.whl", hash = "sha256:60cfe95e0bdf154b0f9036d38acaddc9aef02d6723ed125839b01449672d3946"},
-    {file = "primp-0.6.1-cp38-abi3-macosx_11_0_arm64.whl", hash = "sha256:e1e92433ecf32639f9e800bc3a5d58b03792bdec99421b7fb06500e2fae63c85"},
-    {file = "primp-0.6.1-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6e02353f13f07fb5a6f91df9e2f4d8ec9f41312de95088744dce1c9729a3865d"},
-    {file = "primp-0.6.1-cp38-abi3-manylinux_2_34_aarch64.whl", hash = "sha256:c5a2ccfdf488b17be225a529a31e2b22724b2e22fba8e1ae168a222f857c2dc0"},
-    {file = "primp-0.6.1-cp38-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:f335c2ace907800a23bbb7bc6e15acc7fff659b86a2d5858817f6ed79cea07cf"},
-    {file = "primp-0.6.1-cp38-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:5dc15bd9d47ded7bc356fcb5d8321972dcbeba18e7d3b7250e12bb7365447b2b"},
-    {file = "primp-0.6.1-cp38-abi3-win_amd64.whl", hash = "sha256:eebf0412ebba4089547b16b97b765d83f69f1433d811bb02b02cdcdbca20f672"},
-    {file = "primp-0.6.1.tar.gz", hash = "sha256:64b3c12e3d463a887518811c46f3ec37cca02e6af1ddf1287e548342de436301"},
+    {file = "primp-0.6.3-cp38-abi3-macosx_10_12_x86_64.whl", hash = "sha256:bdbe6a7cdaaf5c9ed863432a941f4a75bd4c6ff626cbc8d32fc232793c70ba06"},
+    {file = "primp-0.6.3-cp38-abi3-macosx_11_0_arm64.whl", hash = "sha256:eeb53eb987bdcbcd85740633470255cab887d921df713ffa12a36a13366c9cdb"},
+    {file = "primp-0.6.3-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:78da53d3c92a8e3f05bd3286ac76c291f1b6fe5e08ea63b7ba92b0f9141800bb"},
+    {file = "primp-0.6.3-cp38-abi3-manylinux_2_34_aarch64.whl", hash = "sha256:86337b44deecdac752bd8112909987fc9fa9b894f30191c80a164dc8f895da53"},
+    {file = "primp-0.6.3-cp38-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:d3cd9a22b97f3eae42b2a5fb99f00480daf4cd6d9b139e05b0ffb03f7cc037f3"},
+    {file = "primp-0.6.3-cp38-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:7732bec917e2d3c48a31cdb92e1250f4ad6203a1aa4f802bd9abd84f2286a1e0"},
+    {file = "primp-0.6.3-cp38-abi3-win_amd64.whl", hash = "sha256:1e4113c34b86c676ae321af185f03a372caef3ee009f1682c2d62e30ec87348c"},
+    {file = "primp-0.6.3.tar.gz", hash = "sha256:17d30ebe26864defad5232dbbe1372e80483940012356e1f68846bb182282039"},
 ]
 
 [package.extras]
@@ -552,130 +555,131 @@ files = [
 
 [[package]]
 name = "pyasn1"
-version = "0.6.0"
+version = "0.6.1"
 description = "Pure-Python implementation of ASN.1 types and DER/BER/CER codecs (X.208)"
 optional = false
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+    {file = "pydantic_core-2.23.4-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:9a5bce9d23aac8f0cf0836ecfc033896aa8443b501c58d0602dbfd5bd5b37753"},
+    {file = "pydantic_core-2.23.4-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:78ddaaa81421a29574a682b3179d4cf9e6d405a09b99d93ddcf7e5239c742e21"},
+    {file = "pydantic_core-2.23.4-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:883a91b5dd7d26492ff2f04f40fbb652de40fcc0afe07e8129e8ae779c2110eb"},
+    {file = "pydantic_core-2.23.4-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:88ad334a15b32a791ea935af224b9de1bf99bcd62fabf745d5f3442199d86d59"},
+    {file = "pydantic_core-2.23.4-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:233710f069d251feb12a56da21e14cca67994eab08362207785cf8c598e74577"},
+    {file = "pydantic_core-2.23.4-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:19442362866a753485ba5e4be408964644dd6a09123d9416c54cd49171f50744"},
+    {file = "pydantic_core-2.23.4-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:624e278a7d29b6445e4e813af92af37820fafb6dcc55c012c834f9e26f9aaaef"},
+    {file = "pydantic_core-2.23.4-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:f5ef8f42bec47f21d07668a043f077d507e5bf4e668d5c6dfe6aaba89de1a5b8"},
+    {file = "pydantic_core-2.23.4-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:aea443fffa9fbe3af1a9ba721a87f926fe548d32cab71d188a6ede77d0ff244e"},
+    {file = "pydantic_core-2.23.4.tar.gz", hash = "sha256:2584f7cf844ac4d970fba483a717dbe10c1c1c96a969bf65d61ffe94df1b2863"},
 ]
 
 [package.dependencies]
@@ -875,13 +879,13 @@ test = ["pytest", "tornado (>=4.5)", "typeguard"]
 
 [[package]]
 name = "types-requests"
-version = "2.32.0.20240712"
+version = "2.32.0.20240914"
 description = "Typing stubs for requests"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "types-requests-2.32.0.20240712.tar.gz", hash = "sha256:90c079ff05e549f6bf50e02e910210b98b8ff1ebdd18e19c873cd237737c1358"},
-    {file = "types_requests-2.32.0.20240712-py3-none-any.whl", hash = "sha256:f754283e152c752e46e70942fa2a146b5bc70393522257bb85bd1ef7e019dcc3"},
+    {file = "types-requests-2.32.0.20240914.tar.gz", hash = "sha256:2850e178db3919d9bf809e434eef65ba49d0e7e33ac92d588f4a5e295fffd405"},
+    {file = "types_requests-2.32.0.20240914-py3-none-any.whl", hash = "sha256:59c2f673eb55f32a99b2894faf6020e1a9f4a402ad0f192bfee0b64469054310"},
 ]
 
 [package.dependencies]
@@ -911,13 +915,13 @@ files = [
 
 [[package]]
 name = "urllib3"
-version = "2.2.2"
+version = "2.2.3"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "urllib3-2.2.2-py3-none-any.whl", hash = "sha256:a448b2f64d686155468037e1ace9f2d2199776e17f0a46610480d311f73e3472"},
-    {file = "urllib3-2.2.2.tar.gz", hash = "sha256:dd505485549a7a552833da5e6063639d0d177c04f23bc3864e41e5dc5f612168"},
+    {file = "urllib3-2.2.3-py3-none-any.whl", hash = "sha256:ca899ca043dcb1bafa3e262d73aa25c465bfb49e0bd9dd5d59f1d0acba2f8fac"},
+    {file = "urllib3-2.2.3.tar.gz", hash = "sha256:e7d814a81dad81e6caf2ec9fdedb284ecc9c73076b62654547cc64ccdcae26e9"},
 ]
 
 [package.extras]
@@ -947,4 +951,4 @@ standard = ["colorama (>=0.4)", "httptools (>=0.5.0)", "python-dotenv (>=0.13)",
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.11,<3.13"
-content-hash = "8d09e0f72eccf60489042a903db5131eed6510fa4fc1b6a9ed69a1cd29e677cc"
+content-hash = "3b58bdc32efe98b0f07066198cc4229ee9c1334d41372592cae324d739af18b5"
diff --git a/backend/pyproject.toml b/backend/pyproject.toml
index 1b23496ac..2029c2baa 100644
--- a/backend/pyproject.toml
+++ b/backend/pyproject.toml
@@ -11,7 +11,7 @@ pyhumps = "^3.8.0"
 uvicorn = "^0.23.1"
 python-ulid = "^1.1.0"
 python-jose = "^3.3.0"
-boto3 = "^1.28.57"
+boto3 = "^1.35.9"
 pg8000 = "^1.30.3"
 argparse = "^1.4.0"
 tenacity = "<=8.3.0"
diff --git a/backend/tests/test_agent/test_agent.py b/backend/tests/test_agent/test_agent.py
index 78288b4ef..61abad0d1 100644
--- a/backend/tests/test_agent/test_agent.py
+++ b/backend/tests/test_agent/test_agent.py
@@ -110,6 +110,7 @@ def setUp(self) -> None:
             published_api_codebuild_id=None,
             conversation_quick_starters=[],
             bedrock_knowledge_base=None,
+            bedrock_guardrails=None,
         )
         tools = [internet_search_tool]
         model = "claude-v3-sonnet"
diff --git a/backend/tests/test_bedrock.py b/backend/tests/test_bedrock.py
index 965ea1ab2..de951691a 100644
--- a/backend/tests/test_bedrock.py
+++ b/backend/tests/test_bedrock.py
@@ -1,5 +1,8 @@
 import sys
 
+import boto3
+from ulid import ULID
+
 sys.path.append(".")
 
 import unittest
@@ -11,6 +14,7 @@
     compose_args_for_converse_api,
 )
 from app.repositories.models.conversation import ContentModel, MessageModel
+from app.repositories.models.custom_bot_guardrails import BedrockGuardrailsModel
 from app.routes.schemas.conversation import type_model_name
 
 MODEL: type_model_name = "claude-v3-haiku"
@@ -58,5 +62,88 @@ def test_call_converse_api(self):
         pprint(response)
 
 
+class TestCallConverseApiWithGuardrails(unittest.TestCase):
+    def setUp(self):
+        # Note that the region must be the same as the one used in the bedrock client
+        # https://github.com/aws/aws-sdk-js-v3/issues/6482
+        self.bedrock_client = boto3.client("bedrock", region_name="us-east-1")
+        self.guardrail_name = f"test-guardrail-{ULID()}"
+
+        # Create dummy guardrail
+        res = self.bedrock_client.create_guardrail(
+            name=self.guardrail_name,
+            description="Test guardrail for unit tests",
+            contentPolicyConfig={
+                "filtersConfig": [
+                    {"type": "SEXUAL", "inputStrength": "LOW", "outputStrength": "LOW"},
+                ]
+            },
+            blockedInputMessaging="blocked",
+            blockedOutputsMessaging="blocked",
+        )
+
+        res_ver = self.bedrock_client.create_guardrail_version(
+            guardrailIdentifier=res["guardrailArn"],
+        )
+
+        self.guardrail = BedrockGuardrailsModel(
+            is_guardrail_enabled=True,
+            hate_threshold=0,
+            insults_threshold=0,
+            sexual_threshold=1,
+            violence_threshold=0,
+            misconduct_threshold=0,
+            grounding_threshold=0,
+            relevance_threshold=0,
+            guardrail_arn=res["guardrailArn"],
+            guardrail_version=res_ver["version"],
+            # guardrail_version="DRAFT",
+        )
+        self.guardrail_arn = res["guardrailArn"]
+
+    def tearDown(self):
+        print("Cleaning up...")
+        # Delete dummy guardrail
+        try:
+            self.bedrock_client.delete_guardrail(guardrailIdentifier=self.guardrail_arn)
+
+        except Exception as e:
+            print(f"Error deleting guardrail: {e}")
+
+    def test_call_converse_api_with_guardrails(self):
+        message = MessageModel(
+            role="user",
+            content=[
+                ContentModel(
+                    content_type="text",
+                    media_type=None,
+                    body="Hello, World!",
+                    file_name=None,
+                )
+            ],
+            model=MODEL,
+            children=[],
+            parent=None,
+            create_time=0,
+            feedback=None,
+            used_chunks=None,
+            thinking_log=None,
+        )
+        arg = compose_args_for_converse_api(
+            [message],
+            MODEL,
+            instruction=None,
+            stream=False,
+            generation_params=None,
+            grounding_source=None,
+            guardrail=self.guardrail,
+        )
+
+        pprint(arg)
+
+        response = call_converse_api(arg)
+        pprint(response)
+
+
 if __name__ == "__main__":
     unittest.main()
diff --git a/backend/tests/test_repositories/test_conversation.py b/backend/tests/test_repositories/test_conversation.py
index eeee413fd..55b11da8c 100644
--- a/backend/tests/test_repositories/test_conversation.py
+++ b/backend/tests/test_repositories/test_conversation.py
@@ -474,6 +474,7 @@ def setUp(self) -> None:
                 ConversationQuickStarterModel(title="QS title", example="QS example")
             ],
             bedrock_knowledge_base=None,
+            bedrock_guardrails=None,
         )
         bot2 = BotModel(
             id="2",
@@ -523,6 +524,7 @@ def setUp(self) -> None:
                 ConversationQuickStarterModel(title="QS title", example="QS example")
             ],
             bedrock_knowledge_base=None,
+            bedrock_guardrails=None,
         )
 
         store_conversation("user", conversation1)
diff --git a/backend/tests/test_repositories/test_custom_bot.py b/backend/tests/test_repositories/test_custom_bot.py
index 94a023bac..1612a9321 100644
--- a/backend/tests/test_repositories/test_custom_bot.py
+++ b/backend/tests/test_repositories/test_custom_bot.py
@@ -31,6 +31,7 @@
     KnowledgeModel,
     SearchParamsModel,
 )
+from app.repositories.models.custom_bot_guardrails import BedrockGuardrailsModel
 from app.repositories.models.custom_bot_kb import (
     AnalyzerParamsModel,
     BedrockKnowledgeBaseModel,
@@ -76,6 +77,18 @@ def test_store_and_find_bot(self):
                 max_tokens=2000,
                 overlap_percentage=0,
             ),
+            bedrock_guardrails=BedrockGuardrailsModel(
+                is_guardrail_enabled=True,
+                hate_threshold=0,
+                insults_threshold=0,
+                sexual_threshold=0,
+                violence_threshold=0,
+                misconduct_threshold=0,
+                grounding_threshold=0.0,
+                relevance_threshold=0.0,
+                guardrail_arn="arn:aws:guardrail",
+                guardrail_version="v1",
+            ),
         )
         store_bot("user1", bot)
 
@@ -135,6 +148,16 @@ def test_store_and_find_bot(self):
         )
         self.assertEqual(bot.bedrock_knowledge_base.search_params.max_results, 20)
         self.assertEqual(bot.bedrock_knowledge_base.search_params.search_type, "hybrid")
+        self.assertEqual(bot.bedrock_guardrails.is_guardrail_enabled, True)
+        self.assertEqual(bot.bedrock_guardrails.hate_threshold, 0)
+        self.assertEqual(bot.bedrock_guardrails.insults_threshold, 0)
+        self.assertEqual(bot.bedrock_guardrails.sexual_threshold, 0)
+        self.assertEqual(bot.bedrock_guardrails.violence_threshold, 0)
+        self.assertEqual(bot.bedrock_guardrails.misconduct_threshold, 0)
+        self.assertEqual(bot.bedrock_guardrails.grounding_threshold, 0.0)
+        self.assertEqual(bot.bedrock_guardrails.relevance_threshold, 0.0)
+        self.assertEqual(bot.bedrock_guardrails.guardrail_arn, "arn:aws:guardrail")
+        self.assertEqual(bot.bedrock_guardrails.guardrail_version, "v1")
 
         # Assert bot is stored in user1's bot list
         bot = find_private_bots_by_user_id("user1")
@@ -272,6 +295,18 @@ def test_update_bot(self):
                 max_tokens=2000,
                 overlap_percentage=0,
             ),
+            bedrock_guardrails=BedrockGuardrailsModel(
+                is_guardrail_enabled=True,
+                hate_threshold=1,
+                insults_threshold=2,
+                sexual_threshold=3,
+                violence_threshold=4,
+                misconduct_threshold=5,
+                grounding_threshold=0.1,
+                relevance_threshold=0.2,
+                guardrail_arn="arn:aws:guardrail",
+                guardrail_version="v1",
+            ),
         )
 
         bot = find_private_bot_by_id("user1", "1")
@@ -317,6 +352,18 @@ def test_update_bot(self):
             bot.bedrock_knowledge_base.open_search.analyzer.token_filters,
             ["kuromoji_baseform"],
         )
+        self.assertEqual(bot.bedrock_knowledge_base.search_params.max_results, 20)
+        self.assertEqual(bot.bedrock_knowledge_base.search_params.search_type, "hybrid")
+        self.assertEqual(bot.bedrock_guardrails.is_guardrail_enabled, True)
+        self.assertEqual(bot.bedrock_guardrails.hate_threshold, 1)
+        self.assertEqual(bot.bedrock_guardrails.insults_threshold, 2)
+        self.assertEqual(bot.bedrock_guardrails.sexual_threshold, 3)
+        self.assertEqual(bot.bedrock_guardrails.violence_threshold, 4)
+        self.assertEqual(bot.bedrock_guardrails.misconduct_threshold, 5)
+        self.assertEqual(bot.bedrock_guardrails.grounding_threshold, 0.1)
+        self.assertEqual(bot.bedrock_guardrails.relevance_threshold, 0.2)
+        self.assertEqual(bot.bedrock_guardrails.guardrail_arn, "arn:aws:guardrail")
+        self.assertEqual(bot.bedrock_guardrails.guardrail_version, "v1")
 
         delete_bot_by_id("user1", "1")
 
diff --git a/backend/tests/test_repositories/utils/bot_factory.py b/backend/tests/test_repositories/utils/bot_factory.py
index 694c7e33a..54f1b8407 100644
--- a/backend/tests/test_repositories/utils/bot_factory.py
+++ b/backend/tests/test_repositories/utils/bot_factory.py
@@ -7,6 +7,7 @@
 from app.repositories.models.custom_bot import (
     AgentModel,
     AgentToolModel,
+    BedrockGuardrailsModel,
     BedrockKnowledgeBaseModel,
     BotAliasModel,
     BotModel,
@@ -31,6 +32,7 @@ def create_test_private_bot(
     display_retrieved_chunks: bool = True,
     conversation_quick_starters: list[ConversationQuickStarterModel] | None = None,
     bedrock_knowledge_base: BedrockKnowledgeBaseModel | None = None,
+    bedrock_guardrails: BedrockGuardrailsModel | None = None,
 ):
     return BotModel(
         id=id,
@@ -80,6 +82,7 @@ def create_test_private_bot(
             [] if conversation_quick_starters is None else conversation_quick_starters
         ),
         bedrock_knowledge_base=bedrock_knowledge_base,
+        bedrock_guardrails=bedrock_guardrails,
     )
 
 
@@ -91,6 +94,7 @@ def create_test_public_bot(
     instruction="Test Public Bot Prompt",
     conversation_quick_starters: list[ConversationQuickStarterModel] | None = None,
     bedrock_knowledge_base: BedrockKnowledgeBaseModel | None = None,
+    bedrock_guardrails: BedrockGuardrailsModel | None = None,
 ):
     return BotModel(
         id=id,
@@ -140,4 +144,5 @@ def create_test_public_bot(
             conversation_quick_starters if conversation_quick_starters else []
         ),
         bedrock_knowledge_base=bedrock_knowledge_base,
+        bedrock_guardrails=bedrock_guardrails,
     )
diff --git a/backend/tests/test_stream/test_stream.py b/backend/tests/test_stream/test_stream.py
index 92e08b140..8070c5565 100644
--- a/backend/tests/test_stream/test_stream.py
+++ b/backend/tests/test_stream/test_stream.py
@@ -5,12 +5,15 @@
 
 import unittest
 
+import boto3
 from app.bedrock import compose_args_for_converse_api
 from app.repositories.models.conversation import ContentModel, MessageModel
 from app.repositories.models.custom_bot import GenerationParamsModel
+from app.repositories.models.custom_bot_guardrails import BedrockGuardrailsModel
 from app.stream import ConverseApiStreamHandler, OnStopInput
 from get_aws_logo import get_aws_logo, get_cdk_logo
 from get_pdf import get_aws_overview, get_test_markdown
+from ulid import ULID
 
 
 def on_stream(x: str) -> None:
@@ -32,13 +35,15 @@ def setUp(self) -> None:
         self.stream_handler = ConverseApiStreamHandler.from_model(model=self.MODEL)  # type: ignore
         self.stream_handler.bind(on_stream=on_stream, on_stop=on_stop)
 
-    def _run(self, message, instruction=None, generation_params=None):
+    def _run(self, message, instruction=None, generation_params=None, guardrail=None):
         args = compose_args_for_converse_api(
             [message],
             self.MODEL,
             instruction=instruction,
             stream=True,
             generation_params=generation_params,
+            grounding_source=None,
+            guardrail=guardrail,
         )
         for _ in self.stream_handler.run(
             args=args,
@@ -184,5 +189,91 @@ def test_run_with_attachment(self):
         self._run(message)
 
 
+class TestConverseApiStreamHandlerGuardrail(unittest.TestCase):
+    MODEL = "claude-v3-sonnet"
+    # MODEL = "mistral-7b-instruct"
+
+    def setUp(self) -> None:
+        self.stream_handler = ConverseApiStreamHandler.from_model(model=self.MODEL)  # type: ignore
+        self.stream_handler.bind(on_stream=on_stream, on_stop=on_stop)
+
+        # Note that the region must be the same as the one used in the bedrock client
+        # https://github.com/aws/aws-sdk-js-v3/issues/6482
+        self.bedrock_client = boto3.client("bedrock", region_name="us-east-1")
+        self.guardrail_name = f"test-guardrail-{ULID()}"
+
+        # Create dummy guardrail
+        guardrail_res = self.bedrock_client.create_guardrail(
+            name=self.guardrail_name,
+            description="Test guardrail for unit tests",
+            contentPolicyConfig={
+                "filtersConfig": [
+                    {"type": "SEXUAL", "inputStrength": "LOW", "outputStrength": "LOW"},
+                ]
+            },
+            blockedInputMessaging="blocked",
+            blockedOutputsMessaging="blocked",
+        )
+
+        self.guardrail_arn = guardrail_res["guardrailArn"]
+
+    def tearDown(self):
+        print("Cleaning up...")
+        # Delete dummy guardrail
+        try:
+            self.bedrock_client.delete_guardrail(guardrailIdentifier=self.guardrail_arn)
+
+        except Exception as e:
+            print(f"Error deleting guardrail: {e}")
+
+    def _run(self, message, instruction=None, generation_params=None, guardrail=None):
+        args = compose_args_for_converse_api(
+            [message],
+            self.MODEL,
+            instruction=instruction,
+            stream=True,
+            generation_params=generation_params,
+            grounding_source=None,
+            guardrail=guardrail,
+        )
+        for _ in self.stream_handler.run(
+            args=args,
+        ):
+            pass
+
+    def test_run_with_guardrail(self):
+        message = MessageModel(
+            role="user",
+            content=[
+                ContentModel(
+                    content_type="text",
+                    media_type=None,
+                    body="Hello, World!",
+                    file_name=None,
+                )
+            ],
+            model=self.MODEL,
+            children=[],
+            parent=None,
+            create_time=0,
+            feedback=None,
+            used_chunks=None,
+            thinking_log=None,
+        )
+        guardrail = BedrockGuardrailsModel(
+            is_guardrail_enabled=True,
+            hate_threshold=0,
+            insults_threshold=0,
+            sexual_threshold=1,
+            violence_threshold=0,
+            misconduct_threshold=0,
+            grounding_threshold=0,
+            relevance_threshold=0,
+            guardrail_arn=self.guardrail_arn,
+            guardrail_version="DRAFT",
+        )
+        self._run(message, guardrail=guardrail)
+
+
 if __name__ == "__main__":
     unittest.main()
diff --git a/backend/tests/test_usecases/test_chat.py b/backend/tests/test_usecases/test_chat.py
index 71bd0b2fd..e82cb30b5 100644
--- a/backend/tests/test_usecases/test_chat.py
+++ b/backend/tests/test_usecases/test_chat.py
@@ -1,10 +1,13 @@
 import base64
 import sys
 
+from ulid import ULID
+
 sys.path.insert(0, ".")
 import unittest
 from pprint import pprint
 
+import boto3
 from app.bedrock import get_model_id
 from app.config import DEFAULT_GENERATION_CONFIG
 from app.repositories.conversation import (
@@ -24,6 +27,7 @@
     ConversationModel,
     MessageModel,
 )
+from app.repositories.models.custom_bot_guardrails import BedrockGuardrailsModel
 from app.routes.schemas.conversation import (
     ChatInput,
     ChatOutput,
@@ -47,7 +51,7 @@
     create_test_public_bot,
 )
 
-MODEL: type_model_name = "claude-instant-v1"
+MODEL: type_model_name = "claude-v3-haiku"
 MISTRAL_MODEL: type_model_name = "mistral-7b-instruct"
 
 
@@ -226,48 +230,48 @@ def test_chat(self):
         self.assertEqual(conv.last_message_id, second_key)
         self.assertNotEqual(conv.total_price, 0)
 
-    def test_chat_mistral(self):
-        prompt = "あなたの名前は何ですか?"
-        body = f"<s>[INST]{prompt}[/INST]"
-
-        chat_input = ChatInput(
-            conversation_id="test_conversation_id",
-            message=MessageInput(
-                role="user",
-                content=[
-                    Content(
-                        content_type="text", body=body, media_type=None, file_name=None
-                    )
-                ],
-                model=MISTRAL_MODEL,
-                parent_message_id=None,
-                message_id=None,
-            ),
-            bot_id=None,
-            continue_generate=False,
-        )
-        output: ChatOutput = chat(user_id="user1", chat_input=chat_input)
-        self.output = output
-
-        pprint(output.model_dump())
-        self.assertNotEqual(output.conversation_id, "")
-
-        conv = find_conversation_by_id(
-            user_id="user1", conversation_id=output.conversation_id
-        )
-        self.assertEqual(len(conv.message_map), 3)
-        for k, v in conv.message_map.items():
-            if v.parent == "system":
-                first_key = k
-                first_message = v
-            elif v.parent:
-                second_key = k
-                second_message = v
-
-        self.assertEqual(second_message.parent, first_key)
-        self.assertEqual(first_message.children, [second_key])
-        self.assertEqual(conv.last_message_id, second_key)
-        self.assertNotEqual(conv.total_price, 0)
+    # def test_chat_mistral(self):
+    #     prompt = "あなたの名前は何ですか?"
+    #     body = f"<s>[INST]{prompt}[/INST]"
+
+    #     chat_input = ChatInput(
+    #         conversation_id="test_conversation_id",
+    #         message=MessageInput(
+    #             role="user",
+    #             content=[
+    #                 Content(
+    #                     content_type="text", body=body, media_type=None, file_name=None
+    #                 )
+    #             ],
+    #             model=MISTRAL_MODEL,
+    #             parent_message_id=None,
+    #             message_id=None,
+    #         ),
+    #         bot_id=None,
+    #         continue_generate=False,
+    #     )
+    #     output: ChatOutput = chat(user_id="user1", chat_input=chat_input)
+    #     self.output = output
+
+    #     pprint(output.model_dump())
+    #     self.assertNotEqual(output.conversation_id, "")
+
+    #     conv = find_conversation_by_id(
+    #         user_id="user1", conversation_id=output.conversation_id
+    #     )
+    #     self.assertEqual(len(conv.message_map), 3)
+    #     for k, v in conv.message_map.items():
+    #         if v.parent == "system":
+    #             first_key = k
+    #             first_message = v
+    #         elif v.parent:
+    #             second_key = k
+    #             second_message = v
+
+    #     self.assertEqual(second_message.parent, first_key)
+    #     self.assertEqual(first_message.children, [second_key])
+    #     self.assertEqual(conv.last_message_id, second_key)
+    #     self.assertNotEqual(conv.total_price, 0)
 
     def tearDown(self) -> None:
         delete_conversation_by_id("user1", self.output.conversation_id)
@@ -279,6 +283,8 @@ def tearDown(self) -> None:
 
     def test_chat(self):
         file_name, body = get_aws_overview()
+        body = base64.b64encode(body).decode("utf-8")
+        file_name = "test.md"
         chat_input = ChatInput(
             conversation_id="test_conversation_id",
             message=MessageInput(
@@ -286,7 +292,7 @@ def test_chat(self):
                 content=[
                     Content(
                         content_type="attachment",
-                        body=base64.b64encode(body).decode("utf-8"),
+                        body=body,
                         media_type=None,
                         file_name=file_name,
                     ),
@@ -623,18 +629,19 @@ def setUp(self) -> None:
         print(output)
         self.output = output
 
-        chat_input.message.model = MISTRAL_MODEL
-        mistral_output: ChatOutput = chat(user_id="user1", chat_input=chat_input)
-        self.mistral_output = mistral_output
-        print(mistral_output)
+        # chat_input.conversation_id = "test_conversation_mistral_id"
+        # chat_input.message.model = MISTRAL_MODEL
+        # mistral_output: ChatOutput = chat(user_id="user1", chat_input=chat_input)
+        # self.mistral_output = mistral_output
+        # print(mistral_output)
 
     def test_propose_title(self):
         title = propose_conversation_title("user1", self.output.conversation_id)
         print(f"[title]: {title}")
 
-    def test_propose_title_mistral(self):
-        title = propose_conversation_title("user1", self.mistral_output.conversation_id)
-        print(f"[title]: {title}")
+    # def test_propose_title_mistral(self):
+    #     title = propose_conversation_title("user1", self.mistral_output.conversation_id)
+    #     print(f"[title]: {title}")
 
     def tearDown(self) -> None:
         delete_conversation_by_id("user1", self.output.conversation_id)
@@ -882,6 +889,97 @@ def test_agent_chat(self):
         print("Thinking log: ", assistant_message.thinking_log)
 
 
+class TestGuardrailChat(unittest.TestCase):
+    user_name = "user1"
+    bot_id = "bot1"
+    model: type_model_name = "claude-v3-sonnet"
+
+    def setUp(self) -> None:
+
+        # Note that the region must be the same as the one used in the bedrock client
+        # https://github.com/aws/aws-sdk-js-v3/issues/6482
+        self.bedrock_client = boto3.client("bedrock", region_name="us-east-1")
+        self.guardrail_name = f"test-guardrail-{ULID()}"
+
+        # Create dummy guardrail
+        res = self.bedrock_client.create_guardrail(
+            name=self.guardrail_name,
+            description="Test guardrail for unit tests",
+            contentPolicyConfig={
+                "filtersConfig": [
+                    {
+                        "type": "SEXUAL",
+                        "inputStrength": "HIGH",
+                        "outputStrength": "HIGH",
+                    },
+                ]
+            },
+            blockedInputMessaging="blocked",
+            blockedOutputsMessaging="blocked",
+        )
+        self.guardrail_arn = res["guardrailArn"]
+
+        private_bot = create_test_private_bot(
+            self.bot_id,
+            True,
+            self.user_name,
+            "",
+            "SUCCEEDED",
+            include_internet_tool=False,
+            set_dummy_knowledge=False,
+            bedrock_guardrails=BedrockGuardrailsModel(
+                is_guardrail_enabled=True,
+                hate_threshold=0,
+                insults_threshold=0,
+                sexual_threshold=1,
+                violence_threshold=0,
+                misconduct_threshold=0,
+                grounding_threshold=0,
+                relevance_threshold=0,
+                guardrail_arn=res["guardrailArn"],
+                guardrail_version="DRAFT",
+            ),
+        )
+        store_bot(self.user_name, private_bot)
+
+    def tearDown(self) -> None:
+        delete_bot_by_id(self.user_name, self.bot_id)
+        delete_conversation_by_user_id(self.user_name)
+        # Delete dummy guardrail
+        try:
+            self.bedrock_client.delete_guardrail(guardrailIdentifier=self.guardrail_arn)
+
+        except Exception as e:
+            print(f"Error deleting guardrail: {e}")
+
+    def test_guardrail_chat(self):
+        chat_input = ChatInput(
+            conversation_id="test_conversation_id",
+            message=MessageInput(
+                role="user",
+                content=[
+                    Content(
+                        content_type="text",
+                        # Sexual content
+                        body="Which bust do you like, A cup, B cup, C cup, D cup, or E cup?",
+                        media_type=None,
+                        file_name=None,
+                    )
+                ],
+                model=self.model,
+                parent_message_id=None,
+                message_id=None,
+            ),
+            bot_id=self.bot_id,
+            continue_generate=False,
+        )
+        output: ChatOutput = chat(user_id=self.user_name, chat_input=chat_input)
+        print(output.message.content[0].body)
+
+        # Must be blocked
+        assert output.message.content[0].body == "blocked"
+
+
 class TestInsertKnowledge(unittest.TestCase):
     def test_insert_knowledge(self):
         results = [
diff --git a/backend/tests/test_usecases/utils/bot_factory.py b/backend/tests/test_usecases/utils/bot_factory.py
index 6cf114350..272b220ce 100644
--- a/backend/tests/test_usecases/utils/bot_factory.py
+++ b/backend/tests/test_usecases/utils/bot_factory.py
@@ -26,6 +26,7 @@ def create_test_private_bot(
     include_internet_tool=False,
     set_dummy_knowledge=True,
     bedrock_knowledge_base=None,
+    bedrock_guardrails=None,
 ):
     return BotModel(
         id=id,
@@ -86,6 +87,7 @@ def create_test_private_bot(
         display_retrieved_chunks=True,
         conversation_quick_starters=[],
         bedrock_knowledge_base=bedrock_knowledge_base,
+        bedrock_guardrails=bedrock_guardrails,
     )
 
 
@@ -96,6 +98,7 @@ def create_test_public_bot(
     public_bot_id=None,
     instruction="Test Public Bot Prompt",
     bedrock_knowledge_base=None,
+    bedrock_guardrails=None,
 ):
     return BotModel(
         id=id,
@@ -146,6 +149,7 @@ def create_test_public_bot(
         display_retrieved_chunks=True,
         conversation_quick_starters=[],
         bedrock_knowledge_base=bedrock_knowledge_base,
+        bedrock_guardrails=bedrock_guardrails,
     )
 
 
diff --git a/cdk/bin/bedrock-chat.ts b/cdk/bin/bedrock-chat.ts
index 2f1ed6ff3..c13f3ae01 100644
--- a/cdk/bin/bedrock-chat.ts
+++ b/cdk/bin/bedrock-chat.ts
@@ -2,6 +2,7 @@
 import "source-map-support/register";
 import * as cdk from "aws-cdk-lib";
 import { BedrockChatStack } from "../lib/bedrock-chat-stack";
+import { BedrockRegionResourcesStack } from "../lib/bedrock-region-resources";
 import { FrontendWafStack } from "../lib/frontend-waf-stack";
 import { TIdentityProvider } from "../lib/utils/identity-provider";
 import { CronScheduleProps } from "../lib/utils/cron-schedule";
@@ -65,6 +66,22 @@ const waf = new FrontendWafStack(app, `FrontendWafStack`, {
   allowedIpV6AddressRanges: ALLOWED_IP_V6_ADDRESS_RANGES,
 });
 
+// The region of the LLM model called by the converse API and the region of Guardrail must be in the same region.
+// CustomBotStack contains Knowledge Bases is deployed in the same region as the LLM model, and source bucket must be in the same region as Knowledge Bases.
+// Therefore, define BedrockRegionResourcesStack containing the source bucket in the same region as the LLM model.
+// Ref: https://docs.aws.amazon.com/bedrock/latest/userguide/s3-data-source-connector.html
+const bedrockRegionResources = new BedrockRegionResourcesStack(
+  app,
+  `BedrockRegionResourcesStack`,
+  {
+    env: {
+      // account: process.env.CDK_DEFAULT_ACCOUNT,
+      region: BEDROCK_REGION,
+    },
+    crossRegionReferences: true,
+  }
+);
+
 const chat = new BedrockChatStack(app, `BedrockChatStack`, {
   env: {
     // account: process.env.CDK_DEFAULT_ACCOUNT,
@@ -89,5 +106,7 @@ const chat = new BedrockChatStack(app, `BedrockChatStack`, {
   embeddingContainerMemory: EMBEDDING_CONTAINER_MEMORY,
   selfSignUpEnabled: SELF_SIGN_UP_ENABLED,
   natgatewayCount: NATGATEWAY_COUNT,
+  documentBucket: bedrockRegionResources.documentBucket,
 });
 chat.addDependency(waf);
+chat.addDependency(bedrockRegionResources);
diff --git a/cdk/bin/bedrock-knowledge-base.ts b/cdk/bin/bedrock-custom-bot.ts
similarity index 50%
rename from cdk/bin/bedrock-knowledge-base.ts
rename to cdk/bin/bedrock-custom-bot.ts
index 5a1c274d7..03834ab79 100644
--- a/cdk/bin/bedrock-knowledge-base.ts
+++ b/cdk/bin/bedrock-custom-bot.ts
@@ -1,6 +1,6 @@
 import "source-map-support/register";
 import * as cdk from "aws-cdk-lib";
-import { BedrockKnowledgeBaseStack } from "../lib/bedrock-knowledge-base-stack";
+import { BedrockCustomBotStack } from "../lib/bedrock-custom-bot-stack";
 import {
   getEmbeddingModel,
   getChunkingStrategy,
@@ -9,12 +9,15 @@ import {
 
 const app = new cdk.App();
 
+const BEDROCK_REGION = app.node.tryGetContext("bedrockRegion");
+
 const PK: string = process.env.PK!;
 const SK: string = process.env.SK!;
 const BEDROCK_CLAUDE_CHAT_DOCUMENT_BUCKET_NAME: string =
   process.env.BEDROCK_CLAUDE_CHAT_DOCUMENT_BUCKET_NAME!;
 const KNOWLEDGE: string = process.env.KNOWLEDGE!;
 const BEDROCK_KNOWLEDGE_BASE: string = process.env.BEDROCK_KNOWLEDGE_BASE!;
+const BEDROCK_GUARDRAILS: string = process.env.BEDROCK_GUARDRAILS!;
 
 console.log("PK: ", PK);
 console.log("SK: ", SK);
@@ -24,11 +27,13 @@ console.log(
 );
 console.log("KNOWLEDGE: ", KNOWLEDGE);
 console.log("BEDROCK_KNOWLEDGE_BASE: ", BEDROCK_KNOWLEDGE_BASE);
+console.log("BEDROCK_GUARDRAILS: ", BEDROCK_GUARDRAILS)
 
 const ownerUserId: string = PK;
 const botId: string = SK.split("#")[2];
 const knowledgeBase = JSON.parse(BEDROCK_KNOWLEDGE_BASE);
 const knowledge = JSON.parse(KNOWLEDGE);
+const guardrails = JSON.parse(BEDROCK_GUARDRAILS)
 const existingS3Urls: string[] = knowledge.s3_urls.L.map(
   (s3Url: any) => s3Url.S
 );
@@ -37,6 +42,7 @@ console.log("ownerUserId: ", ownerUserId);
 console.log("botId: ", botId);
 console.log("knowledgeBase: ", knowledgeBase);
 console.log("knowledge: ", knowledge);
+console.log("guardrails: ", guardrails);
 console.log("existingS3Urls: ", existingS3Urls);
 
 const embeddingsModel = getEmbeddingModel(knowledgeBase.embeddings_model.S);
@@ -54,10 +60,51 @@ const overlapPercentage: number | undefined = knowledgeBase.overlap_percentage
   ? Number(knowledgeBase.overlap_percentage.N)
   : undefined;
 
+const is_guardrail_enabled: boolean | undefined = guardrails.is_guardrail_enabled
+  ? Boolean(guardrails.is_guardrail_enabled.BOOL)
+  : undefined;
+const hateThreshold: number | undefined = guardrails.hate_threshold
+  ? Number(guardrails.hate_threshold.N)
+  : undefined;
+const insultsThreshold: number | undefined = guardrails.insults_threshold
+  ? Number(guardrails.insults_threshold.N)
+  : undefined;
+const sexualThreshold: number | undefined = guardrails.sexual_threshold
+  ? Number(guardrails.sexual_threshold.N)
+  : undefined;
+const violenceThreshold: number | undefined = guardrails.violence_threshold
+  ? Number(guardrails.violence_threshold.N)
+  : undefined;
+const misconductThreshold: number | undefined = guardrails.misconduct_threshold
+  ? Number(guardrails.misconduct_threshold.N)
+  : undefined;
+  const groundingThreshold: number | undefined = guardrails.grounding_threshold
+  ? Number(guardrails.grounding_threshold.N)
+  : undefined;
+const relevanceThreshold: number | undefined = guardrails.relevance_threshold
+  ? Number(guardrails.relevance_threshold.N)
+  : undefined;
+const guardrailArn: number |  undefined = guardrails.guardrail_arn
+  ? Number(guardrails.guardrail_arn.N)
+  : undefined;
+const guardrailVersion: number | undefined = guardrails.guardrail_version
+  ? Number(guardrails.guardrail_version.N)
+  : undefined;
+
 console.log("embeddingsModel: ", embeddingsModel);
 console.log("chunkingStrategy: ", chunkingStrategy);
 console.log("maxTokens: ", maxTokens);
 console.log("instruction: ", instruction);
+console.log("is_guardrail_enabled: ", is_guardrail_enabled);
+console.log("hateThreshold: ", hateThreshold);
+console.log("insultsThreshold: ", insultsThreshold);
+console.log("sexualThreshold: ", sexualThreshold);
+console.log("violenceThreshold: ", violenceThreshold);
+console.log("misconductThreshold: ", misconductThreshold);
+console.log("relevanceThreshold: ", relevanceThreshold);
+console.log("guardrailArn: ", guardrailArn);
+console.log("guardrailVersion: ", guardrailVersion);
+
 if (analyzer) {
   console.log(
     "Analyzer: ",
@@ -69,10 +116,14 @@ if (analyzer) {
 
 console.log("overlapPercentage: ", overlapPercentage);
 
-const knowledgeBaseStack = new BedrockKnowledgeBaseStack(
+const bedrockCustomBotStack = new BedrockCustomBotStack(
   app,
   `BrChatKbStack${botId}`,
   {
+    env: {
+      // account: process.env.CDK_DEFAULT_ACCOUNT,
+      region: BEDROCK_REGION,
+    },
     ownerUserId,
     botId,
     embeddingsModel,
@@ -84,5 +135,17 @@ const knowledgeBaseStack = new BedrockKnowledgeBaseStack(
     instruction,
     analyzer,
     overlapPercentage,
+    guardrail: {
+      is_guardrail_enabled,
+      hateThreshold,
+      insultsThreshold,
+      sexualThreshold,
+      violenceThreshold,
+      misconductThreshold,
+      groundingThreshold,
+      relevanceThreshold,
+      guardrailArn,
+      guardrailVersion
+    }
   }
 );
diff --git a/cdk/lib/bedrock-chat-stack.ts b/cdk/lib/bedrock-chat-stack.ts
index 291082657..e3143e8b4 100644
--- a/cdk/lib/bedrock-chat-stack.ts
+++ b/cdk/lib/bedrock-chat-stack.ts
@@ -6,6 +6,9 @@ import {
   HttpMethods,
   ObjectOwnership,
 } from "aws-cdk-lib/aws-s3";
+import {
+  CloudFrontWebDistribution,
+} from "aws-cdk-lib/aws-cloudfront";
 import { Construct } from "constructs";
 import { Auth } from "./constructs/auth";
 import { Api } from "./constructs/api";
@@ -23,7 +26,7 @@ import { WebAclForPublishedApi } from "./constructs/webacl-for-published-api";
 import { CronScheduleProps, createCronSchedule } from "./utils/cron-schedule";
 import * as s3deploy from "aws-cdk-lib/aws-s3-deployment";
 import * as path from "path";
-import { BedrockKnowledgeBaseCodebuild } from "./constructs/bedrock-knowledge-base-codebuild";
+import { BedrockCustomBotCodebuild } from "./constructs/bedrock-custom-bot-codebuild";
 
 export interface BedrockChatStackProps extends StackProps {
   readonly bedrockRegion: string;
@@ -42,6 +45,7 @@ export interface BedrockChatStackProps extends StackProps {
   readonly selfSignUpEnabled: boolean;
   readonly enableIpV6: boolean;
   readonly natgatewayCount: number;
+  readonly documentBucket: Bucket
 }
 
 export class BedrockChatStack extends cdk.Stack {
@@ -74,17 +78,6 @@ export class BedrockChatStack extends cdk.Stack {
       autoDeleteObjects: true,
     });
 
-    const documentBucket = new Bucket(this, "DocumentBucket", {
-      encryption: BucketEncryption.S3_MANAGED,
-      blockPublicAccess: BlockPublicAccess.BLOCK_ALL,
-      enforceSSL: true,
-      removalPolicy: RemovalPolicy.DESTROY,
-      objectOwnership: ObjectOwnership.OBJECT_WRITER,
-      autoDeleteObjects: true,
-      serverAccessLogsBucket: accessLogBucket,
-      serverAccessLogsPrefix: "DocumentBucket",
-    });
-
     // Bucket for source code
     const sourceBucket = new Bucket(this, "SourceBucketForCodeBuild", {
       encryption: BucketEncryption.S3_MANAGED,
@@ -119,6 +112,8 @@ export class BedrockChatStack extends cdk.Stack {
             "**/.gitignore",
             "**/test/**",
             "**/tests/**",
+            "**/backend/embedding_statemachine/pdf_ai_ocr/**",
+            "**/backend/guardrails/**",
           ],
         }),
       ],
@@ -134,7 +129,7 @@ export class BedrockChatStack extends cdk.Stack {
       }
     );
     // CodeBuild used for KnowledgeBase
-    const bedrockKnowledgeBaseCodebuild = new BedrockKnowledgeBaseCodebuild(
+    const bedrockCustomBotCodebuild = new BedrockCustomBotCodebuild(
       this,
       "BedrockKnowledgeBaseCodebuild",
       {
@@ -186,14 +181,14 @@ export class BedrockChatStack extends cdk.Stack {
       bedrockRegion: props.bedrockRegion,
       tableAccessRole: database.tableAccessRole,
       dbSecrets: vectorStore.secret,
-      documentBucket,
+      documentBucket: props.documentBucket,
       apiPublishProject: apiPublishCodebuild.project,
-      bedrockKnowledgeBaseProject: bedrockKnowledgeBaseCodebuild.project,
+      bedrockCustomBotProject: bedrockCustomBotCodebuild.project,
       usageAnalysis,
       largeMessageBucket,
       enableMistral: props.enableMistral,
     });
-    documentBucket.grantReadWrite(backendApi.handler);
+    props.documentBucket.grantReadWrite(backendApi.handler);
 
     // For streaming response
     const websocket = new WebSocket(this, "WebSocket", {
@@ -206,7 +201,7 @@ export class BedrockChatStack extends cdk.Stack {
       auth,
       bedrockRegion: props.bedrockRegion,
       largeMessageBucket,
-      documentBucket,
+      documentBucket: props.documentBucket,
       enableMistral: props.enableMistral,
     });
     frontend.buildViteApp({
@@ -219,11 +214,16 @@ export class BedrockChatStack extends cdk.Stack {
       idp,
     });
 
-    documentBucket.addCorsRule({
-      allowedMethods: [HttpMethods.PUT],
-      allowedOrigins: [frontend.getOrigin(), "http://localhost:5173", "*"],
-      allowedHeaders: ["*"],
-      maxAge: 3000,
+    const cloudFrontWebDistribution = frontend.cloudFrontWebDistribution.node.defaultChild as CloudFrontWebDistribution;
+    props.documentBucket.addCorsRule({
+        allowedMethods: [HttpMethods.PUT],
+        allowedOrigins: [
+          `https://${cloudFrontWebDistribution.distributionDomainName}`, // frontend.getOrigin() is cyclic reference
+          "http://localhost:5173",
+          "*"
+        ],
+        allowedHeaders: ["*"],
+        maxAge: 3000,
     });
 
     const embedding = new Embedding(this, "Embedding", {
@@ -232,12 +232,12 @@ export class BedrockChatStack extends cdk.Stack {
       database: database.table,
       dbSecrets: vectorStore.secret,
       tableAccessRole: database.tableAccessRole,
-      documentBucket,
+      documentBucket: props.documentBucket,
       embeddingContainerVcpu: props.embeddingContainerVcpu,
       embeddingContainerMemory: props.embeddingContainerMemory,
-      bedrockKnowledgeBaseProject: bedrockKnowledgeBaseCodebuild.project,
+      bedrockCustomBotProject: bedrockCustomBotCodebuild.project,
     });
-    documentBucket.grantRead(embedding.container.taskDefinition.taskRole);
+    props.documentBucket.grantRead(embedding.container.taskDefinition.taskRole);
 
     vectorStore.allowFrom(embedding.taskSecurityGroup);
     vectorStore.allowFrom(embedding.removalHandler);
@@ -255,7 +255,7 @@ export class BedrockChatStack extends cdk.Stack {
     );
 
     new CfnOutput(this, "DocumentBucketName", {
-      value: documentBucket.bucketName,
+      value: props.documentBucket.bucketName,
     });
     new CfnOutput(this, "FrontendURL", {
       value: frontend.getOrigin(),
diff --git a/cdk/lib/bedrock-knowledge-base-stack.ts b/cdk/lib/bedrock-custom-bot-stack.ts
similarity index 50%
rename from cdk/lib/bedrock-knowledge-base-stack.ts
rename to cdk/lib/bedrock-custom-bot-stack.ts
index 13081cafa..9651695ce 100644
--- a/cdk/lib/bedrock-knowledge-base-stack.ts
+++ b/cdk/lib/bedrock-custom-bot-stack.ts
@@ -12,8 +12,27 @@ import {
   S3DataSource,
 } from "@cdklabs/generative-ai-cdk-constructs/lib/cdk-lib/bedrock";
 import { KnowledgeBase } from "@cdklabs/generative-ai-cdk-constructs/lib/cdk-lib/bedrock";
+import { aws_bedrock as bedrock } from "aws-cdk-lib";
 
-interface BedrockKnowledgeBaseStackProps extends StackProps {
+import { getThreshold } from "./utils/bedrock-guardrails";
+
+const BLOCKED_INPUT_MESSAGE = "this input message is blocked";
+const BLOCKED_OUTPUT_MESSAGE = "this output message is blocked";
+
+interface BedrockGuardrailProps {
+  readonly is_guardrail_enabled?: boolean;
+  readonly hateThreshold?: number;
+  readonly insultsThreshold?: number;
+  readonly sexualThreshold?: number;
+  readonly violenceThreshold?: number;
+  readonly misconductThreshold?: number;
+  readonly groundingThreshold?: number;
+  readonly relevanceThreshold?: number;
+  readonly guardrailArn?: number;
+  readonly guardrailVersion?: number;
+}
+
+interface BedrockCustomBotStackProps extends StackProps {
   readonly ownerUserId: string;
   readonly botId: string;
   readonly embeddingsModel: BedrockFoundationModel;
@@ -24,14 +43,11 @@ interface BedrockKnowledgeBaseStackProps extends StackProps {
   readonly instruction?: string;
   readonly analyzer?: Analyzer;
   readonly overlapPercentage?: number;
+  readonly guardrail?: BedrockGuardrailProps;
 }
 
-export class BedrockKnowledgeBaseStack extends Stack {
-  constructor(
-    scope: Construct,
-    id: string,
-    props: BedrockKnowledgeBaseStackProps
-  ) {
+export class BedrockCustomBotStack extends Stack {
+  constructor(scope: Construct, id: string, props: BedrockCustomBotStackProps) {
     super(scope, id, props);
 
     const { docBucketsAndPrefixes } = this.setupBucketsAndPrefixes(props);
@@ -80,6 +96,127 @@ export class BedrockKnowledgeBaseStack extends Stack {
       });
     });
 
+    if (props.guardrail?.is_guardrail_enabled == true) {
+      // Use only parameters with a value greater than or equal to 0
+      let contentPolicyConfigFiltersConfig = [];
+      let contextualGroundingFiltersConfig = [];
+      console.log("props.guardrail: ", props.guardrail);
+
+      if (
+        props.guardrail.hateThreshold != undefined &&
+        props.guardrail.hateThreshold > 0
+      ) {
+        contentPolicyConfigFiltersConfig.push({
+          inputStrength: getThreshold(props.guardrail.hateThreshold),
+          outputStrength: getThreshold(props.guardrail.hateThreshold),
+          type: "HATE",
+        });
+      }
+
+      if (
+        props.guardrail.insultsThreshold != undefined &&
+        props.guardrail.insultsThreshold > 0
+      ) {
+        contentPolicyConfigFiltersConfig.push({
+          inputStrength: getThreshold(props.guardrail.insultsThreshold),
+          outputStrength: getThreshold(props.guardrail.insultsThreshold),
+          type: "INSULTS",
+        });
+      }
+
+      if (
+        props.guardrail.sexualThreshold != undefined &&
+        props.guardrail.sexualThreshold > 0
+      ) {
+        contentPolicyConfigFiltersConfig.push({
+          inputStrength: getThreshold(props.guardrail.sexualThreshold),
+          outputStrength: getThreshold(props.guardrail.sexualThreshold),
+          type: "SEXUAL",
+        });
+      }
+
+      if (
+        props.guardrail.violenceThreshold != undefined &&
+        props.guardrail.violenceThreshold > 0
+      ) {
+        contentPolicyConfigFiltersConfig.push({
+          inputStrength: getThreshold(props.guardrail.violenceThreshold),
+          outputStrength: getThreshold(props.guardrail.violenceThreshold),
+          type: "VIOLENCE",
+        });
+      }
+
+      if (
+        props.guardrail.misconductThreshold != undefined &&
+        props.guardrail.misconductThreshold > 0
+      ) {
+        contentPolicyConfigFiltersConfig.push({
+          inputStrength: getThreshold(props.guardrail.misconductThreshold),
+          outputStrength: getThreshold(props.guardrail.misconductThreshold),
+          type: "MISCONDUCT",
+        });
+      }
+
+      if (
+        props.guardrail.groundingThreshold != undefined &&
+        props.guardrail.groundingThreshold > 0
+      ) {
+        contextualGroundingFiltersConfig.push({
+          threshold: props.guardrail.groundingThreshold!,
+          type: "GROUNDING",
+        });
+      }
+
+      if (
+        props.guardrail.relevanceThreshold != undefined &&
+        props.guardrail.relevanceThreshold > 0
+      ) {
+        contextualGroundingFiltersConfig.push({
+          threshold: props.guardrail.relevanceThreshold!,
+          type: "RELEVANCE",
+        });
+      }
+
+      console.log(
+        "contentPolicyConfigFiltersConfig: ",
+        contentPolicyConfigFiltersConfig
+      );
+      console.log(
+        "contextualGroundingFiltersConfig: ",
+        contextualGroundingFiltersConfig
+      );
+
+      // Deploy Guardrail if it contains at least one configuration value
+      if (
+        contentPolicyConfigFiltersConfig.length > 0 ||
+        contextualGroundingFiltersConfig.length > 0
+      ) {
+        const guardrail = new bedrock.CfnGuardrail(this, "Guardrail", {
+          name: props.botId,
+          blockedInputMessaging: BLOCKED_INPUT_MESSAGE,
+          blockedOutputsMessaging: BLOCKED_OUTPUT_MESSAGE,
+          contentPolicyConfig:
+            contentPolicyConfigFiltersConfig.length > 0
+              ? {
+                  filtersConfig: contentPolicyConfigFiltersConfig,
+                }
+              : undefined,
+          contextualGroundingPolicyConfig:
+            contextualGroundingFiltersConfig.length > 0
+              ? {
+                  filtersConfig: contextualGroundingFiltersConfig,
+                }
+              : undefined,
+        });
+        new CfnOutput(this, "GuardrailArn", {
+          value: guardrail.attrGuardrailArn,
+        });
+        new CfnOutput(this, "GuardrailVersion", {
+          value: guardrail.attrVersion,
+        });
+      }
+    }
+
     new CfnOutput(this, "KnowledgeBaseId", {
       value: kb.knowledgeBaseId,
     });
@@ -99,7 +236,7 @@ export class BedrockKnowledgeBaseStack extends Stack {
     });
   }
 
-  private setupBucketsAndPrefixes(props: BedrockKnowledgeBaseStackProps): {
+  private setupBucketsAndPrefixes(props: BedrockCustomBotStackProps): {
     docBucketsAndPrefixes: { bucket: s3.IBucket; prefix: string }[];
   } {
     /**
diff --git a/cdk/lib/bedrock-region-resources.ts b/cdk/lib/bedrock-region-resources.ts
new file mode 100644
index 000000000..481600600
--- /dev/null
+++ b/cdk/lib/bedrock-region-resources.ts
@@ -0,0 +1,51 @@
+import { CfnOutput, RemovalPolicy, Stack, StackProps } from "aws-cdk-lib";
+import { Construct } from "constructs";
+import {
+  BlockPublicAccess,
+  Bucket,
+  BucketEncryption,
+  ObjectOwnership,
+} from "aws-cdk-lib/aws-s3";
+
+
+interface BedrockRegionResourcesStackProps extends StackProps {
+}
+
+export class BedrockRegionResourcesStack extends Stack {
+  readonly documentBucket: Bucket
+
+  constructor(
+    scope: Construct,
+    id: string,
+    props: BedrockRegionResourcesStackProps
+  ) {
+    super(scope, id, props);
+
+    const prefix = Stack.of(this).region
+
+    const accessLogBucket = new Bucket(this, `${prefix}AccessLogBucket`, {
+      encryption: BucketEncryption.S3_MANAGED,
+      blockPublicAccess: BlockPublicAccess.BLOCK_ALL,
+      enforceSSL: true,
+      removalPolicy: RemovalPolicy.DESTROY,
+      objectOwnership: ObjectOwnership.OBJECT_WRITER,
+      autoDeleteObjects: true,
+    });
+
+    this.documentBucket = new Bucket(this, `${prefix}DocumentBucket`, {
+      encryption: BucketEncryption.S3_MANAGED,
+      blockPublicAccess: BlockPublicAccess.BLOCK_ALL,
+      enforceSSL: true,
+      removalPolicy: RemovalPolicy.DESTROY,
+      objectOwnership: ObjectOwnership.OBJECT_WRITER,
+      autoDeleteObjects: true,
+      serverAccessLogsBucket: accessLogBucket,
+      serverAccessLogsPrefix: "DocumentBucket",
+    });
+
+    new CfnOutput(this, "DocumentBucketName", {
+      value: this.documentBucket.bucketName,
+    });
+
+  } 
+}
diff --git a/cdk/lib/constructs/api.ts b/cdk/lib/constructs/api.ts
index 882d1c633..dce093036 100644
--- a/cdk/lib/constructs/api.ts
+++ b/cdk/lib/constructs/api.ts
@@ -36,7 +36,7 @@ export interface ApiProps {
   readonly documentBucket: IBucket;
   readonly largeMessageBucket: IBucket;
   readonly apiPublishProject: codebuild.IProject;
-  readonly bedrockKnowledgeBaseProject: codebuild.IProject;
+  readonly bedrockCustomBotProject: codebuild.IProject;
   readonly usageAnalysis?: UsageAnalysis;
   readonly enableMistral: boolean;
 }
@@ -83,7 +83,7 @@ export class Api extends Construct {
         actions: ["codebuild:StartBuild"],
         resources: [
           props.apiPublishProject.projectArn,
-          props.bedrockKnowledgeBaseProject.projectArn,
+          props.bedrockCustomBotProject.projectArn,
         ],
       })
     );
@@ -106,7 +106,7 @@ export class Api extends Construct {
         actions: ["codebuild:BatchGetBuilds"],
         resources: [
           props.apiPublishProject.projectArn,
-          props.bedrockKnowledgeBaseProject.projectArn,
+          props.bedrockCustomBotProject.projectArn,
         ],
       })
     );
@@ -202,8 +202,8 @@ export class Api extends Construct {
         DOCUMENT_BUCKET: props.documentBucket.bucketName,
         LARGE_MESSAGE_BUCKET: props.largeMessageBucket.bucketName,
         PUBLISH_API_CODEBUILD_PROJECT_NAME: props.apiPublishProject.projectName,
-        KNOWLEDGE_BASE_CODEBUILD_PROJECT_NAME:
-          props.bedrockKnowledgeBaseProject.projectName,
+        // KNOWLEDGE_BASE_CODEBUILD_PROJECT_NAME:
+        //   props.bedrockCustomBotProject.projectName,
         USAGE_ANALYSIS_DATABASE:
           props.usageAnalysis?.database.databaseName || "",
         USAGE_ANALYSIS_TABLE:
diff --git a/cdk/lib/constructs/auth.ts b/cdk/lib/constructs/auth.ts
index b91f5b338..0c8e5c507 100644
--- a/cdk/lib/constructs/auth.ts
+++ b/cdk/lib/constructs/auth.ts
@@ -1,4 +1,4 @@
-import { CfnOutput, Duration, Stack, CustomResource } from "aws-cdk-lib";
+import { CfnOutput, Duration, Stack, CustomResource, RemovalPolicy } from "aws-cdk-lib";
 import {
   ProviderAttribute,
   UserPool,
@@ -44,6 +44,7 @@ export class Auth extends Construct {
         username: false,
         email: true,
       },
+      removalPolicy: RemovalPolicy.DESTROY
     });
 
     const clientProps = (() => {
diff --git a/cdk/lib/constructs/bedrock-knowledge-base-codebuild.ts b/cdk/lib/constructs/bedrock-custom-bot-codebuild.ts
similarity index 89%
rename from cdk/lib/constructs/bedrock-knowledge-base-codebuild.ts
rename to cdk/lib/constructs/bedrock-custom-bot-codebuild.ts
index df6f6264b..40d23d923 100644
--- a/cdk/lib/constructs/bedrock-knowledge-base-codebuild.ts
+++ b/cdk/lib/constructs/bedrock-custom-bot-codebuild.ts
@@ -4,16 +4,16 @@ import * as s3 from "aws-cdk-lib/aws-s3";
 import * as iam from "aws-cdk-lib/aws-iam";
 import { NagSuppressions } from "cdk-nag";
 
-export interface BedrockKnowledgeBaseCodebuildProps {
+export interface BedrockCustomBotCodebuildProps {
   readonly sourceBucket: s3.Bucket;
 }
 
-export class BedrockKnowledgeBaseCodebuild extends Construct {
+export class BedrockCustomBotCodebuild extends Construct {
   public readonly project: codebuild.Project;
   constructor(
     scope: Construct,
     id: string,
-    props: BedrockKnowledgeBaseCodebuildProps
+    props: BedrockCustomBotCodebuildProps
   ) {
     super(scope, id);
 
@@ -35,6 +35,7 @@ export class BedrockKnowledgeBaseCodebuild extends Construct {
         },
         KNOWLEDGE: { value: "" },
         BEDROCK_KNOWLEDGE_BASE: { value: "" },
+        BEDROCK_GUARDRAILS: { value: "" },
       },
       buildSpec: codebuild.BuildSpec.fromObject({
         version: "0.2",
@@ -53,7 +54,7 @@ export class BedrockKnowledgeBaseCodebuild extends Construct {
               // Extract BOT_ID from SK. Note that SK is given like <user-id>#BOT#<bot-id>
               `export BOT_ID=$(echo $SK | awk -F'#' '{print $3}')`,
               // Replace cdk's entrypoint. This is a workaround to avoid the issue that cdk synthesize all stacks.
-              "sed -i 's|bin/bedrock-chat.ts|bin/bedrock-knowledge-base.ts|' cdk.json",
+              "sed -i 's|bin/bedrock-chat.ts|bin/bedrock-custom-bot.ts|' cdk.json",
               `cdk deploy --require-approval never BrChatKbStack$BOT_ID`,
             ],
           },
diff --git a/cdk/lib/constructs/embedding.ts b/cdk/lib/constructs/embedding.ts
index 6099bd532..00bd7346f 100644
--- a/cdk/lib/constructs/embedding.ts
+++ b/cdk/lib/constructs/embedding.ts
@@ -33,7 +33,7 @@ export interface EmbeddingProps {
   readonly documentBucket: IBucket;
   readonly embeddingContainerVcpu: number;
   readonly embeddingContainerMemory: number;
-  readonly bedrockKnowledgeBaseProject: codebuild.IProject;
+  readonly bedrockCustomBotProject: codebuild.IProject;
 }
 
 export class Embedding extends Construct {
@@ -44,6 +44,7 @@ export class Embedding extends Construct {
   private _updateSyncStatusHandler: IFunction;
   private _fetchStackOutputHandler: IFunction;
   private _StoreKnowledgeBaseIdHandler: IFunction;
+  private _StoreGuardrailArnHandler: IFunction;
   private _taskDefinition: ecs.FargateTaskDefinition;
   private _pipeRole: iam.Role;
   private _stateMachine: sfn.StateMachine;
@@ -247,6 +248,9 @@ export class Embedding extends Construct {
         memorySize: 512,
         timeout: Duration.minutes(1),
         role: handlerRole,
+        environment: {
+          BEDROCK_REGION: props.bedrockRegion,
+        },
       }
     );
     this._StoreKnowledgeBaseIdHandler = new DockerImageFunction(
@@ -277,6 +281,34 @@ export class Embedding extends Construct {
         role: handlerRole,
       }
     );
+    this._StoreGuardrailArnHandler = new DockerImageFunction(
+      this,
+      "StoreGuardrailArnHandler",
+      {
+        code: DockerImageCode.fromImageAsset(
+          path.join(__dirname, "../../../backend"),
+          {
+            platform: Platform.LINUX_AMD64,
+            file: "lambda.Dockerfile",
+            cmd: [
+              "embedding_statemachine.guardrails.store_guardrail_arn.handler",
+            ],
+            exclude: [
+              ...excludeDockerImage
+            ]
+          }
+        ),
+        memorySize: 512,
+        timeout: Duration.minutes(1),
+        environment: {
+          ACCOUNT: Stack.of(this).account,
+          REGION: Stack.of(this).region,
+          TABLE_NAME: props.database.tableName,
+          TABLE_ACCESS_ROLE_ARN: props.tableAccessRole.roleArn,
+        },
+        role: handlerRole,
+      }
+    );
     return this;
   }
 
@@ -328,11 +360,11 @@ export class Embedding extends Construct {
       },
     });
 
-    const startKnowledgeBaseBuild = new tasks.CodeBuildStartBuild(
+    const startCustomBotBuild = new tasks.CodeBuildStartBuild(
       this,
-      "StartKnowledgeBaseBuild",
+      "StartCustomBotBuild",
       {
-        project: props.bedrockKnowledgeBaseProject,
+        project: props.bedrockCustomBotProject,
         integrationPattern: sfn.IntegrationPattern.RUN_JOB,
         environmentVariablesOverride: {
           PK: {
@@ -362,6 +394,12 @@ export class Embedding extends Construct {
               "States.JsonToString($.dynamodb.NewImage.BedrockKnowledgeBase.M)"
             ),
           },
+          BEDROCK_GUARDRAILS: {
+            type: codebuild.BuildEnvironmentVariableType.PLAINTEXT,
+            value: sfn.JsonPath.stringAt(
+              "States.JsonToString($.dynamodb.NewImage.GuardrailsParams.M)"
+            ),
+          }
         },
         resultPath: "$.Build",
       }
@@ -396,7 +434,7 @@ export class Embedding extends Construct {
         error: "Knowledge base sync failed",
       })
     );
-    startKnowledgeBaseBuild.addCatch(fallback);
+    startCustomBotBuild.addCatch(fallback);
 
     const fetchStackOutput = new tasks.LambdaInvoke(this, "FetchStackOutput", {
       lambdaFunction: this._fetchStackOutputHandler,
@@ -423,20 +461,36 @@ export class Embedding extends Construct {
     );
     storeKnowledgeBaseId.addCatch(fallback);
 
-    const startIngestionJob = new tasks.CallAwsService(
+    const storeGuardrailArn = new tasks.LambdaInvoke(
+      this,
+      "StoreGuardrailArn",
+      {
+        lambdaFunction: this._StoreGuardrailArnHandler,
+        payload: sfn.TaskInput.fromObject({
+          "pk.$": "$.dynamodb.NewImage.PK.S",
+          "sk.$": "$.dynamodb.NewImage.SK.S",
+          "stack_output.$": "$.StackOutput.Payload",
+        }),
+        resultPath: sfn.JsonPath.DISCARD,
+      }
+    );
+    storeGuardrailArn.addCatch(fallback);
+
+    const startIngestionJob = new tasks.CallAwsServiceCrossRegion(
       this,
       "StartIngestionJob",
       {
-        service: "bedrockagent",
+        service: "bedrock-agent",
         action: "startIngestionJob",
         iamAction: "bedrock:StartIngestionJob",
+        region: props.bedrockRegion,
         parameters: {
-          DataSourceId: sfn.JsonPath.stringAt("$.DataSourceId"),
-          KnowledgeBaseId: sfn.JsonPath.stringAt("$.KnowledgeBaseId"),
+          dataSourceId: sfn.JsonPath.stringAt("$.DataSourceId"),
+          knowledgeBaseId: sfn.JsonPath.stringAt("$.KnowledgeBaseId"),
         },
         // Ref: https://docs.aws.amazon.com/ja_jp/service-authorization/latest/reference/list_amazonbedrock.html#amazonbedrock-knowledge-base
         iamResources: [
-          `arn:${Stack.of(this).partition}:bedrock:${Stack.of(this).region}:${
+          `arn:${Stack.of(this).partition}:bedrock:${props.bedrockRegion}:${
             Stack.of(this).account
           }:knowledge-base/*`,
         ],
@@ -444,24 +498,25 @@ export class Embedding extends Construct {
       }
     );
 
-    const getIngestionJob = new tasks.CallAwsService(this, "GetIngestionJob", {
-      service: "bedrockagent",
+    const getIngestionJob = new tasks.CallAwsServiceCrossRegion(this, "GetIngestionJob", {
+      service: "bedrock-agent",
       action: "getIngestionJob",
       iamAction: "bedrock:GetIngestionJob",
+      region: props.bedrockRegion,
       parameters: {
-        DataSourceId: sfn.JsonPath.stringAt(
-          "$.IngestionJob.IngestionJob.DataSourceId"
+        dataSourceId: sfn.JsonPath.stringAt(
+          "$.IngestionJob.ingestionJob.dataSourceId"
         ),
-        KnowledgeBaseId: sfn.JsonPath.stringAt(
-          "$.IngestionJob.IngestionJob.KnowledgeBaseId"
+        knowledgeBaseId: sfn.JsonPath.stringAt(
+          "$.IngestionJob.ingestionJob.knowledgeBaseId"
         ),
-        IngestionJobId: sfn.JsonPath.stringAt(
-          "$.IngestionJob.IngestionJob.IngestionJobId"
+        ingestionJobId: sfn.JsonPath.stringAt(
+          "$.IngestionJob.ingestionJob.ingestionJobId"
         ),
       },
       // Ref: https://docs.aws.amazon.com/ja_jp/service-authorization/latest/reference/list_amazonbedrock.html#amazonbedrock-knowledge-base
       iamResources: [
-        `arn:${Stack.of(this).partition}:bedrock:${Stack.of(this).region}:${
+        `arn:${Stack.of(this).partition}:bedrock:${props.bedrockRegion}:${
           Stack.of(this).account
         }:knowledge-base/*`,
       ],
@@ -478,14 +533,14 @@ export class Embedding extends Construct {
     )
       .when(
         sfn.Condition.stringEquals(
-          "$.IngestionJob.IngestionJob.Status",
+          "$.IngestionJob.ingestionJob.status",
           "COMPLETE"
         ),
         new sfn.Pass(this, "IngestionJobCompleted")
       )
       .when(
         sfn.Condition.stringEquals(
-          "$.IngestionJob.IngestionJob.Status",
+          "$.IngestionJob.ingestionJob.status",
           "FAILED"
         ),
         new tasks.LambdaInvoke(this, "UpdateSyncStatusFailedForIngestion", {
@@ -518,9 +573,10 @@ export class Embedding extends Construct {
         sfn.Condition.isPresent("$[0].dynamodb.NewImage.BedrockKnowledgeBase"),
         extractFirstElement
           .next(updateSyncStatusRunning)
-          .next(startKnowledgeBaseBuild)
+          .next(startCustomBotBuild)
           .next(fetchStackOutput)
           .next(storeKnowledgeBaseId)
+          .next(storeGuardrailArn)
           .next(mapIngestionJobs)
           .next(updateSyncStatusSucceeded)
       )
@@ -667,6 +723,7 @@ export class Embedding extends Construct {
       environment: {
         ACCOUNT: Stack.of(this).account,
         REGION: Stack.of(this).region,
+        BEDROCK_REGION: props.bedrockRegion,
         TABLE_NAME: props.database.tableName,
         TABLE_ACCESS_ROLE_ARN: props.tableAccessRole.roleArn,
         DB_SECRETS_ARN: props.dbSecrets.secretArn,
diff --git a/cdk/lib/utils/bedrock-guardrails.ts b/cdk/lib/utils/bedrock-guardrails.ts
new file mode 100644
index 000000000..8d2a4d7f7
--- /dev/null
+++ b/cdk/lib/utils/bedrock-guardrails.ts
@@ -0,0 +1,20 @@
+export enum Threshold {
+  NONE = 'NONE',
+  LOW = 'LOW',
+  MEDIUM = 'MEDIUM',
+  HIGH = 'HIGH'
+}
+
+export function getThreshold(inputParam: number | undefined): Threshold {
+  if ( inputParam === undefined) {
+    return Threshold.NONE;
+  }
+  const threshold: { [key: number]: Threshold } = {
+    0: Threshold.NONE,
+    1: Threshold.LOW,
+    2: Threshold.MEDIUM,
+    3: Threshold.HIGH
+  };Threshold
+
+  return threshold[inputParam] || Threshold.NONE;
+}
diff --git a/cdk/package-lock.json b/cdk/package-lock.json
index a6bc295fc..074b87f07 100644
--- a/cdk/package-lock.json
+++ b/cdk/package-lock.json
@@ -9,10 +9,10 @@
       "version": "0.1.0",
       "hasInstallScript": true,
       "dependencies": {
-        "@aws-cdk/aws-glue-alpha": "^2.147.3-alpha.0",
-        "@aws-cdk/aws-lambda-python-alpha": "^2.147.3-alpha.0",
+        "@aws-cdk/aws-glue-alpha": "^2.155.0-alpha.0",
+        "@aws-cdk/aws-lambda-python-alpha": "^2.155.0-alpha.0",
         "@cdklabs/generative-ai-cdk-constructs": "^0.1.201",
-        "aws-cdk-lib": "^2.147.3",
+        "aws-cdk-lib": "^2.155.0",
         "cdk-aws-lambda-powertools-layer": "^3.7.0",
         "constructs": "^10.0.0",
         "deploy-time-build": "^0.3.2",
@@ -26,7 +26,7 @@
         "@aws-prototyping-sdk/pdk-nag": "^0.19.68",
         "@types/jest": "^29.5.3",
         "@types/node": "20.4.2",
-        "aws-cdk": "2.148.1",
+        "aws-cdk": "2.155.0",
         "jest": "^29.6.1",
         "ts-jest": "^29.1.1",
         "ts-node": "^10.9.1",
@@ -62,29 +62,64 @@
       "integrity": "sha512-twhuEG+JPOYCYPx/xy5uH2+VUsIEhPTzDY0F1KuB+ocjWWB/KEDiOVL19nHvbPCB6fhWnkykXEMJ4HHcKvjtvg=="
     },
     "node_modules/@aws-cdk/aws-glue-alpha": {
-      "version": "2.147.3-alpha.0",
-      "resolved": "https://registry.npmjs.org/@aws-cdk/aws-glue-alpha/-/aws-glue-alpha-2.147.3-alpha.0.tgz",
-      "integrity": "sha512-MDULIMhoQjgL0jlYgwFR0D6zis8qrVjElWNUt/4HWpS0iT3mMzj6N0ZRLXgQNjRQjHIdNrt+BXtnSp+5Zd7USQ==",
+      "version": "2.155.0-alpha.0",
+      "resolved": "https://registry.npmjs.org/@aws-cdk/aws-glue-alpha/-/aws-glue-alpha-2.155.0-alpha.0.tgz",
+      "integrity": "sha512-jRX+y2aNCW0dlnBz11E+O0Y16bhiLBHAGtwchnVU0YhSg3kokr5cOoxk2QakSOKBARDg8D6ekasUbJXkeMXUEw==",
       "engines": {
         "node": ">= 14.15.0"
       },
       "peerDependencies": {
-        "aws-cdk-lib": "^2.147.3",
+        "aws-cdk-lib": "^2.155.0",
         "constructs": "^10.0.0"
       }
     },
     "node_modules/@aws-cdk/aws-lambda-python-alpha": {
-      "version": "2.147.3-alpha.0",
-      "resolved": "https://registry.npmjs.org/@aws-cdk/aws-lambda-python-alpha/-/aws-lambda-python-alpha-2.147.3-alpha.0.tgz",
-      "integrity": "sha512-X6pa1nlqull0sMqGBk/LFn8pFxOwfHP+Fo8HkutB/TSfWYttJpkYKdIwtQcSrgMv384uXVmyAyZkOQYacbhVOQ==",
+      "version": "2.155.0-alpha.0",
+      "resolved": "https://registry.npmjs.org/@aws-cdk/aws-lambda-python-alpha/-/aws-lambda-python-alpha-2.155.0-alpha.0.tgz",
+      "integrity": "sha512-hYSS99c6vxltLTwweE0GSnwkJhxEGx46vGQO2J3TBYIN0T04U8/V4K/e3h4HuqJHL4xioSeOQvCgBYBNP/YBRg==",
       "engines": {
         "node": ">= 14.15.0"
       },
       "peerDependencies": {
-        "aws-cdk-lib": "^2.147.3",
+        "aws-cdk-lib": "^2.155.0",
         "constructs": "^10.0.0"
       }
     },
+    "node_modules/@aws-cdk/cloud-assembly-schema": {
+      "version": "36.0.24",
+      "resolved": "https://registry.npmjs.org/@aws-cdk/cloud-assembly-schema/-/cloud-assembly-schema-36.0.24.tgz",
+      "integrity": "sha512-dHyb4lvd6nbNHLVvdyxVPgwc0MyzN3VzIJnWwGJWKOIwVqL7hvU2NkQQrktY9T2MtdhzUdDFm9qluxuLRV5Cfw==",
+      "bundleDependencies": [
+        "jsonschema",
+        "semver"
+      ],
+      "dependencies": {
+        "jsonschema": "^1.4.1",
+        "semver": "^7.6.3"
+      },
+      "engines": {
+        "node": ">= 18.18.0"
+      }
+    },
+    "node_modules/@aws-cdk/cloud-assembly-schema/node_modules/jsonschema": {
+      "version": "1.4.1",
+      "inBundle": true,
+      "license": "MIT",
+      "engines": {
+        "node": "*"
+      }
+    },
+    "node_modules/@aws-cdk/cloud-assembly-schema/node_modules/semver": {
+      "version": "7.6.3",
+      "inBundle": true,
+      "license": "ISC",
+      "bin": {
+        "semver": "bin/semver.js"
+      },
+      "engines": {
+        "node": ">=10"
+      }
+    },
     "node_modules/@aws-prototyping-sdk/pdk-nag": {
       "version": "0.19.68",
       "resolved": "https://registry.npmjs.org/@aws-prototyping-sdk/pdk-nag/-/pdk-nag-0.19.68.tgz",
@@ -1388,9 +1423,9 @@
       }
     },
     "node_modules/aws-cdk": {
-      "version": "2.148.1",
-      "resolved": "https://registry.npmjs.org/aws-cdk/-/aws-cdk-2.148.1.tgz",
-      "integrity": "sha512-wiAi4vFJ52A42PpU3zRi2gVDqbTXSBVFrqKRqEd8wYL1mqa0qMv9FR35NsgbM1RL9s7g5ZljYvl+G2tXpcp5Eg==",
+      "version": "2.155.0",
+      "resolved": "https://registry.npmjs.org/aws-cdk/-/aws-cdk-2.155.0.tgz",
+      "integrity": "sha512-AV7Ym/o7/xyDh6sqcGatWD6Bqa7Swe0OWJq+1srVww0MdBiy5yM3zYAA1+ZeqZNjFQThJPA+pYZQFTgojuaVBA==",
       "dev": true,
       "bin": {
         "cdk": "bin/cdk"
@@ -1403,9 +1438,9 @@
       }
     },
     "node_modules/aws-cdk-lib": {
-      "version": "2.147.3",
-      "resolved": "https://registry.npmjs.org/aws-cdk-lib/-/aws-cdk-lib-2.147.3.tgz",
-      "integrity": "sha512-GX07otmLydgR3CX51OaDtDr/MXRbsl9HZ2txVQpEV3pkF0UpJVc7XLShYuHmVv0uyStnAQfEN6W89cXMK64Nlg==",
+      "version": "2.155.0",
+      "resolved": "https://registry.npmjs.org/aws-cdk-lib/-/aws-cdk-lib-2.155.0.tgz",
+      "integrity": "sha512-QGzDhLldBXsyOUmhgtZ98PiOUS2g1Mb5MO08FiOvQn3+KSyJjQdq0GoyxtDpCNGLaWmIfcyrtB9aDhod38fl9g==",
       "bundleDependencies": [
         "@balena/dockerignore",
         "case",
@@ -1423,6 +1458,7 @@
         "@aws-cdk/asset-awscli-v1": "^2.2.202",
         "@aws-cdk/asset-kubectl-v20": "^2.1.2",
         "@aws-cdk/asset-node-proxy-agent-v6": "^2.0.3",
+        "@aws-cdk/cloud-assembly-schema": "^36.0.5",
         "@balena/dockerignore": "^1.0.2",
         "case": "1.6.3",
         "fs-extra": "^11.2.0",
@@ -3749,7 +3785,6 @@
       "version": "6.3.1",
       "resolved": "https://registry.npmjs.org/semver/-/semver-6.3.1.tgz",
       "integrity": "sha512-BR7VvDCVHO+q2xBEWskxS6DJE1qRnb7DxzUrogb71CWoSficBxYsiAGd+Kl0mmq/MprG9yArRkyrQxTO6XjMzA==",
-      "dev": true,
       "bin": {
         "semver": "bin/semver.js"
       }
diff --git a/cdk/package.json b/cdk/package.json
index e3797130b..54ff51527 100644
--- a/cdk/package.json
+++ b/cdk/package.json
@@ -15,17 +15,17 @@
     "@aws-prototyping-sdk/pdk-nag": "^0.19.68",
     "@types/jest": "^29.5.3",
     "@types/node": "20.4.2",
-    "aws-cdk": "2.148.1",
+    "aws-cdk": "2.155.0",
     "jest": "^29.6.1",
     "ts-jest": "^29.1.1",
     "ts-node": "^10.9.1",
     "typescript": "~5.1.6"
   },
   "dependencies": {
-    "@aws-cdk/aws-glue-alpha": "^2.147.3-alpha.0",
-    "@aws-cdk/aws-lambda-python-alpha": "^2.147.3-alpha.0",
+    "@aws-cdk/aws-glue-alpha": "^2.155.0-alpha.0",
+    "@aws-cdk/aws-lambda-python-alpha": "^2.155.0-alpha.0",
     "@cdklabs/generative-ai-cdk-constructs": "^0.1.201",
-    "aws-cdk-lib": "^2.147.3",
+    "aws-cdk-lib": "^2.155.0",
     "cdk-aws-lambda-powertools-layer": "^3.7.0",
     "constructs": "^10.0.0",
     "deploy-time-build": "^0.3.2",
diff --git a/cdk/test/cdk.test.ts b/cdk/test/cdk.test.ts
index 1ace7ae0a..3fe9166f9 100644
--- a/cdk/test/cdk.test.ts
+++ b/cdk/test/cdk.test.ts
@@ -7,7 +7,8 @@ import {
   getChunkingStrategy,
   getAnalyzer,
 } from "../lib/utils/bedrock-knowledge-base-args";
-import { BedrockKnowledgeBaseStack } from "../lib/bedrock-knowledge-base-stack";
+import { BedrockCustomBotStack } from "../lib/bedrock-custom-bot-stack";
+import { BedrockRegionResourcesStack } from "../lib/bedrock-region-resources";
 import { Analyzer } from "@cdklabs/generative-ai-cdk-constructs/lib/cdk-lib/opensearch-vectorindex";
 
 describe("Bedrock Chat Stack Test", () => {
@@ -16,10 +17,20 @@ describe("Bedrock Chat Stack Test", () => {
 
     const domainPrefix = "test-domain";
 
+    const bedrockRegionResourcesStack = new BedrockRegionResourcesStack(app, "BedrockRegionResourcesStack", {
+      env: {
+        region: "us-east-1",
+      },
+      crossRegionReferences: true,
+    })
+
     const hasGoogleProviderStack = new BedrockChatStack(
       app,
       "IdentityProviderGenerateStack",
       {
+        env: {
+          region: "us-west-2",
+        },
         bedrockRegion: "us-east-1",
         crossRegionReferences: true,
         webAclId: "",
@@ -45,6 +56,7 @@ describe("Bedrock Chat Stack Test", () => {
         embeddingContainerMemory: 2048,
         natgatewayCount: 2,
         enableIpV6: true,
+        documentBucket: bedrockRegionResourcesStack.documentBucket,
       }
     );
     const hasGoogleProviderTemplate = Template.fromStack(
@@ -75,10 +87,21 @@ describe("Bedrock Chat Stack Test", () => {
   test("Custom OIDC Provider Generation", () => {
     const app = new cdk.App();
     const domainPrefix = "test-domain";
+
+    const bedrockRegionResourcesStack = new BedrockRegionResourcesStack(app, "BedrockRegionResourcesStack", {
+      env: {
+        region: "us-east-1",
+      },
+      crossRegionReferences: true,
+    })
+
     const hasOidcProviderStack = new BedrockChatStack(
       app,
       "OidcProviderGenerateStack",
       {
+        env: {
+          region: "us-west-2",
+        },
         bedrockRegion: "us-east-1",
         crossRegionReferences: true,
         webAclId: "",
@@ -105,6 +128,7 @@ describe("Bedrock Chat Stack Test", () => {
         embeddingContainerMemory: 2048,
         natgatewayCount: 2,
         enableIpV6: true,
+        documentBucket: bedrockRegionResourcesStack.documentBucket,
       }
     );
     const hasOidcProviderTemplate = Template.fromStack(hasOidcProviderStack);
@@ -135,7 +159,17 @@ describe("Bedrock Chat Stack Test", () => {
     // Security check
     cdk.Aspects.of(app).add(new AwsPrototypingChecks());
 
+    const bedrockRegionResourcesStack = new BedrockRegionResourcesStack(app, "BedrockRegionResourcesStack", {
+      env: {
+        region: "us-east-1",
+      },
+      crossRegionReferences: true,
+    })
+
     const stack = new BedrockChatStack(app, "MyTestStack", {
+      env: {
+        region: "us-west-2",
+      },
       bedrockRegion: "us-east-1",
       crossRegionReferences: true,
       webAclId: "",
@@ -156,6 +190,7 @@ describe("Bedrock Chat Stack Test", () => {
       embeddingContainerMemory: 2048,
       natgatewayCount: 2,
       enableIpV6: true,
+      documentBucket: bedrockRegionResourcesStack.documentBucket,
     });
     const template = Template.fromStack(stack);
 
@@ -173,7 +208,17 @@ describe("Scheduler Test", () => {
   test("has schedules", () => {
     const app = new cdk.App();
 
+    const bedrockRegionResourcesStack = new BedrockRegionResourcesStack(app, "BedrockRegionResourcesStack", {
+      env: {
+        region: "us-east-1",
+      },
+      crossRegionReferences: true,
+    })
+
     const hasScheduleStack = new BedrockChatStack(app, "HasSchedulesStack", {
+      env: {
+        region: "us-west-2",
+      },
       bedrockRegion: "us-east-1",
       crossRegionReferences: true,
       webAclId: "",
@@ -206,6 +251,7 @@ describe("Scheduler Test", () => {
       embeddingContainerMemory: 2048,
       natgatewayCount: 2,
       enableIpV6: true,
+      documentBucket: bedrockRegionResourcesStack.documentBucket,
     });
     const template = Template.fromStack(hasScheduleStack);
     template.hasResourceProperties("AWS::Scheduler::Schedule", {
@@ -218,7 +264,18 @@ describe("Scheduler Test", () => {
   });
   test("has'nt schedules", () => {
     const app = new cdk.App();
+
+    const bedrockRegionResourcesStack = new BedrockRegionResourcesStack(app, "BedrockRegionResourcesStack", {
+      env: {
+        region: "us-east-1",
+      },
+      crossRegionReferences: true,
+    })
+
     const defaultStack = new BedrockChatStack(app, "DefaultStack", {
+      env: {
+        region: "us-west-2",
+      },
       bedrockRegion: "us-east-1",
       crossRegionReferences: true,
       webAclId: "",
@@ -239,6 +296,7 @@ describe("Scheduler Test", () => {
       embeddingContainerMemory: 2048,
       natgatewayCount: 2,
       enableIpV6: true,
+      documentBucket: bedrockRegionResourcesStack.documentBucket,
     });
     const template = Template.fromStack(defaultStack);
     // The stack should have only 1 rule for exporting the data from ddb to s3
@@ -354,9 +412,9 @@ describe("Bedrock Knowledge Base Stack", () => {
         ? Number(knowledgeBase.overlap_percentage.N)
         : undefined;
 
-    const stack = new BedrockKnowledgeBaseStack(
+    const stack = new BedrockCustomBotStack(
       app,
-      "BedrockKnowledgeBaseStack",
+      "BedrockCustomBotStackStack",
       {
         ownerUserId,
         botId,
diff --git a/docs/imgs/v1_to_v2_KB_s3_source.png b/docs/imgs/v1_to_v2_KB_s3_source.png
new file mode 100644
index 000000000..7ef94e5dc
Binary files /dev/null and b/docs/imgs/v1_to_v2_KB_s3_source.png differ
diff --git a/docs/imgs/v1_to_v2_arch.png b/docs/imgs/v1_to_v2_arch.png
new file mode 100644
index 000000000..5f83eed0d
Binary files /dev/null and b/docs/imgs/v1_to_v2_arch.png differ
diff --git a/docs/migration/V1_TO_V2.md b/docs/migration/V1_TO_V2.md
index abe8a78cb..c17885ae5 100644
--- a/docs/migration/V1_TO_V2.md
+++ b/docs/migration/V1_TO_V2.md
@@ -1,26 +1,88 @@
 # Migration Guide (v1 to v2)
 
-## Overview
+## TL;DR
 
-The v2 update introduces a significant change by replacing pgvector on Aurora Serverless and ECS-based embedding with [Amazon Bedrock Knowledge Bases](https://docs.aws.amazon.com/bedrock/latest/userguide/knowledge-base.html). This change is not backward compatible. If you want to continue using pgvector, avoid upgrading to v2. If you plan to transition, start by updating to v1.3.0 and enabling the Knowledge Bases option in cdk.json. This will make your existing bots read-only, allowing a gradual shift to the new system. Note that **upgrading to v2 will result in the deletion of all Aurora-related resources.** Future updates will focus exclusively on v2, with v1 being deprecated.
+- **For users of v1.2 or earlier**: Upgrade to v1.4 and recreate your bots using Knowledge Base (KB). After a transition period, once you confirm everything works as expected with KB, proceed with upgrading to v2.
+- **For users of v1.3**: Even if you are already using KB, it is **strongly recommended** to upgrade to v1.4 and recreate your bots. If you are still using pgvector, migrate by recreating your bots using KB in v1.4.
+- **For users who wish to continue using pgvector**: Upgrading to v2 is not recommended if you plan to continue using pgvector. Upgrading to v2 will remove all resources related to pgvector, and future support will no longer be available. Continue using v1 in this case.
+- Note that **upgrading to v2 will result in the deletion of all Aurora-related resources.** Future updates will focus exclusively on v2, with v1 being deprecated.
 
-## Key Changes and Migration Steps
+> [!Important]
+> v2 will be released soon.
 
-### v2 brings a major architectural shift
+## Introduction
 
-Replacement of pgvector and ECS Embedding: The previous system using pgvector on Aurora Serverless and ECS for embedding is replaced by Amazon Bedrock Knowledge Bases, which utilize an OpenSearch backend. This offers a fully managed solution, improving reliability and ease of maintenance.
+### What will happen
 
-### Migration Process
+The v2 update introduces a major change by replacing pgvector on Aurora Serverless and ECS-based embedding with [Amazon Bedrock Knowledge Bases](https://docs.aws.amazon.com/bedrock/latest/userguide/knowledge-base.html). This change is not backward compatible.
 
-- Update to v1.3.0: Ensure you are using version 1.3.0 or later.
-- Enable Knowledge Bases: Set `useBedrockKnowledgeBasesForRag` to `true` in [cdk.json](../../cdk/cdk.json). **Be aware that enabling Knowledge Bases will incur charges for both Aurora and Knowledge Bases.**
-- Read-Only Mode: Once enabled, your existing pgvector-based bots become read-only, preventing further edits but allowing continued use.
-- Re-create Bots: Open the bot creation screen and re-create your bots with the same definitions as those using pgvector, but now utilizing Knowledge Bases. **Note that some feature is not available on KnowledgeBases e.g. web crawling and youtube transcript.**
+### Why this repository has adopted Knowledge Bases and discontinued pgvector
+
+There are several reasons for this change:
+
+#### Improved RAG Accuracy
+
+- Knowledge Bases use OpenSearch Serverless as the backend, allowing hybrid searches with both full-text and vector search. This leads to better accuracy in responding to questions that include proper nouns, which pgvector struggled with.
+- It also supports more options for improving RAG accuracy, such as advanced chunking and parsing.
+- Knowledge Bases have been generally available for almost a year as of October 2024, with features like web crawling already added. Future updates are expected, making it easier to adopt advanced functionality over the long term. For example, while this repository has not implemented features like importing from existing S3 buckets (a frequently requested feature) in pgvector, it is already supported in KB (KnowledgeBases).
+
+#### Maintenance
+
+- The current ECS + Aurora setup depends on numerous libraries, including those for PDF parsing, web crawling, and extracting YouTube transcripts. In comparison, managed solutions like Knowledge Bases reduce the maintenance burden for both users and the repository's development team.
+
+## Migration Process (Summary)
+
+We strongly recommend upgrading to v1.4 before moving to v2. In v1.4, you can use both pgvector and Knowledge Base bots, allowing a transition period to recreate your existing pgvector bots in Knowledge Base and verify they work as expected. Even if the RAG documents remain identical, note that the backend changes to OpenSearch may produce slightly different results, though generally similar, due to differences like k-NN algorithms.
+
+By setting `useBedrockKnowledgeBasesForRag` to true in `cdk.json`, you can create bots using Knowledge Bases. However, pgvector bots will become read-only, preventing the creation or editing of new pgvector bots.
 
 ![](../imgs/v1_to_v2_readonly_bot.png)
 
-- Upgrade to v2: Once you have successfully transitioned to using Knowledge Bases, proceed with the full upgrade to v2.
+In v1.4, [Guardrails for Amazon Bedrock](https://aws.amazon.com/jp/bedrock/guardrails/) are also introduced. Due to regional restrictions of Knowledge Bases, the S3 bucket for uploading documents must be in the same region as `bedrockRegion`. We recommend backing up existing document buckets before updating, to avoid manually uploading large numbers of documents later (as S3 bucket import functionality is available).
+
+## Migration Process (Detail)
+
+The steps differ depending on whether you are using v1.2 or earlier, or v1.3.
+
+![](../imgs/v1_to_v2_arch.png)
+
+### Steps for users of v1.2 or earlier
+
+1. **Backup your existing document bucket (optional but recommended).** If your system is already in operation, we strongly recommend this step. Back up the bucket named `bedrockchatstack-documentbucketxxxx-yyyy`. For example, we can use [AWS Backup](https://docs.aws.amazon.com/aws-backup/latest/devguide/s3-backups.html).
+
+2. **Update to v1.4**: Fetch the latest v1.4 tag, modify `cdk.json`, and deploy. Follow these steps:
+
+   1. Fetch the latest tag:
+      ```bash
+      git fetch --tags
+      git checkout tags/v1.4.0
+      ```
+   2. Modify `cdk.json` as follows:
+      ```json
+      {
+        ...,
+        "useBedrockKnowledgeBasesForRag": true,
+        ...
+      }
+      ```
+   3. Deploy the changes:
+      ```bash
+      cdk deploy
+      ```
+
+3. **Recrate your bots**: Recreate your bots on Knowledge Base with the same definitions (documents, chunk size, etc.) as the pgvector bots. If you have a large volume of documents, restoring from the backup in step 1 will make this process easier. To restore, we can use restoring cross-region copies. For more detail, visit [here](https://docs.aws.amazon.com/aws-backup/latest/devguide/restoring-s3.html). To specify the restored bucket, set `S3 Data Source` section as following. The path structure is `s3://<bucket-name>/<user-id>/<bot-id>/documents/`. You can check user id on Cognito user pool and bot id on address bar on bot creation screen.
+
+![](../imgs/v1_to_v2_KB_s3_source.png)
+
+**Note that some features are not available on Knowledge Bases, such as web crawling and YouTube transcript support (Planning to support web crawler ([issue](https://github.com/aws-samples/bedrock-claude-chat/issues/557))).** Also, keep in mind that using Knowledge Bases will incur charges for both Aurora and Knowledge Bases during the transition.
+
+4. **Upgrade to v2**: After the release of v2, fetch the tagged source and deploy as follows (this will be possible once released):
+   ```bash
+   git fetch --tags
+   git checkout tags/v2.0.0
+   cdk deploy
+   ```
 
-### Important Note
+### Steps for users of v1.3
 
-Migration of existing vector data from Aurora to the new Knowledge Bases is complex and not supported by this sample. If you rely on pgvector, consider staying with v1.
+As mentioned earlier, in v1.4, Knowledge Bases must be created in the bedrockRegion due to regional restrictions. Therefore, you will need to recreate the KB. If you have already tested KB in v1.3, recreate the bot in v1.4 with the same definitions. Follow the steps outlined for v1.2 users.
diff --git a/frontend/src/@types/bot.d.ts b/frontend/src/@types/bot.d.ts
index e27d9c2dc..49657b326 100644
--- a/frontend/src/@types/bot.d.ts
+++ b/frontend/src/@types/bot.d.ts
@@ -62,6 +62,19 @@ export type SearchParams = {
   maxResults: number;
 };
 
+export type GuardrailsParams = {
+  isGuardrailEnabled: boolean;
+  hateThreshold: number;
+  insultsThreshold: number;
+  sexualThreshold: number;
+  violenceThreshold: number;
+  misconductThreshold: number;
+  groundingThreshold: number;
+  relevanceThreshold: number;
+  guardrailArn: string
+  guardrailVersion: string
+};
+
 export type BotDetails = BotMeta & {
   instruction: string;
   embeddingParams: EmdeddingParams;
@@ -72,6 +85,7 @@ export type BotDetails = BotMeta & {
   syncStatusReason: string;
   displayRetrievedChunks: boolean;
   conversationQuickStarters: ConversationQuickStarter[];
+  bedrockGuardrails: GuardrailsParams;
   bedrockKnowledgeBase: BedrockKnowledgeBase | null;
 };
 
@@ -101,6 +115,7 @@ export type RegisterBotRequest = {
   knowledge?: BotKnowledge;
   displayRetrievedChunks: boolean;
   conversationQuickStarters: ConversationQuickStarter[];
+  bedrockGuardrails?: GuardrailsParams;
   bedrockKnowledgeBase?: BedrockKnowledgeBase;
 };
 
@@ -117,6 +132,7 @@ export type UpdateBotRequest = {
   knowledge?: BotKnowledgeDiff;
   displayRetrievedChunks: boolean;
   conversationQuickStarters: ConversationQuickStarter[];
+  bedrockGuardrails?: GuardrailsParams;
   bedrockKnowledgeBase?: BedrockKnowledgeBase;
 };
 
diff --git a/frontend/src/constants/index.ts b/frontend/src/constants/index.ts
index a609129a7..f14c435ea 100644
--- a/frontend/src/constants/index.ts
+++ b/frontend/src/constants/index.ts
@@ -119,3 +119,15 @@ export const PostStreamingStatus = {
   ERROR: 'ERROR',
   END: 'END',
 } as const;
+
+export const GUARDRAILS_FILTERS_THRESHOLD = { 
+  MAX: 3,
+  MIN: 0,
+  STEP: 1,
+}
+
+export const GUARDRAILS_CONTECTUAL_GROUNDING_THRESHOLD = { 
+  MAX: 0.99,
+  MIN: 0,
+  STEP: 0.01,
+}
\ No newline at end of file
diff --git a/frontend/src/features/knowledgeBase/pages/BotKbEditPage.tsx b/frontend/src/features/knowledgeBase/pages/BotKbEditPage.tsx
index ca277f299..2007a81ad 100644
--- a/frontend/src/features/knowledgeBase/pages/BotKbEditPage.tsx
+++ b/frontend/src/features/knowledgeBase/pages/BotKbEditPage.tsx
@@ -41,6 +41,10 @@ import {
   DEFAULT_SEARCH_CONFIG,
   DEFAULT_OPENSEARCH_ANALYZER,
 } from '../constants';
+import {
+  GUARDRAILS_FILTERS_THRESHOLD,
+  GUARDRAILS_CONTECTUAL_GROUNDING_THRESHOLD,
+} from '../../../constants';
 import {
   ChunkingStrategy,
   EmbeddingsModel,
@@ -103,6 +107,16 @@ const BotKbEditPage: React.FC = () => {
   const [embeddingsModel, setEmbeddingsModel] =
     useState<EmbeddingsModel>('titan_v2');
 
+  const [hateThreshold, setHateThreshold] = useState<number>(0);
+  const [insultsThreshold, setInsultsThreshold] = useState<number>(0);
+  const [sexualThreshold, setSexualThreshold] = useState<number>(0);
+  const [violenceThreshold, setViolenceThreshold] = useState<number>(0);
+  const [misconductThreshold, setMisconductThreshold] = useState<number>(0);
+  const [groundingThreshold, setGroundingThreshold] = useState<number>(0);
+  const [relevanceThreshold, setRelevanceThreshold] = useState<number>(0);
+  const [guardrailArn, setGuardrailArn] = useState<string>('');
+  const [guardrailVersion, setGuardrailVersion] = useState<string>('');
+
   const embeddingsModelOptions: {
     label: string;
     value: EmbeddingsModel;
@@ -290,6 +304,47 @@ const BotKbEditPage: React.FC = () => {
           );
           setOpenSearchParams(bot.bedrockKnowledgeBase!.openSearch);
           setSearchParams(bot.bedrockKnowledgeBase!.searchParams);
+          setGuardrailArn(bot.bedrockGuardrails.guardrailArn);
+          setGuardrailVersion(
+            bot.bedrockGuardrails.guardrailVersion
+              ? bot.bedrockGuardrails.guardrailVersion
+              : ''
+          );
+          setHateThreshold(
+            bot.bedrockGuardrails.hateThreshold
+              ? bot.bedrockGuardrails.hateThreshold
+              : 0
+          );
+          setInsultsThreshold(
+            bot.bedrockGuardrails.insultsThreshold
+              ? bot.bedrockGuardrails.insultsThreshold
+              : 0
+          );
+          setSexualThreshold(
+            bot.bedrockGuardrails.sexualThreshold
+              ? bot.bedrockGuardrails.sexualThreshold
+              : 0
+          );
+          setViolenceThreshold(
+            bot.bedrockGuardrails.violenceThreshold
+              ? bot.bedrockGuardrails.violenceThreshold
+              : 0
+          );
+          setMisconductThreshold(
+            bot.bedrockGuardrails.misconductThreshold
+              ? bot.bedrockGuardrails.misconductThreshold
+              : 0
+          );
+          setGroundingThreshold(
+            bot.bedrockGuardrails.groundingThreshold
+              ? bot.bedrockGuardrails.groundingThreshold
+              : 0
+          );
+          setRelevanceThreshold(
+            bot.bedrockGuardrails.relevanceThreshold
+              ? bot.bedrockGuardrails.relevanceThreshold
+              : 0
+          );
         })
         .finally(() => {
           setIsLoading(false);
@@ -510,7 +565,7 @@ const BotKbEditPage: React.FC = () => {
 
     // S3 URLs validation - s3://example-bucket/path/to/data-source/
     const isS3UrlsValid = s3Urls.every((url, idx) => {
-      if (url && !/^s3:\/\/[a-z0-9.-]+\/$/.test(url)) {
+      if (url && !/^s3:\/\/[a-z0-9.-]+\/.+/.test(url)) {
         setErrorMessages(`s3Urls-${idx}`, 'S3 URL is invalid');
         return false;
       } else {
@@ -673,6 +728,25 @@ const BotKbEditPage: React.FC = () => {
         openSearch: openSearchParams,
         searchParams: searchParams,
       },
+      bedrockGuardrails: {
+        isGuardrailEnabled:
+          hateThreshold > 0 ||
+          insultsThreshold > 0 ||
+          sexualThreshold > 0 ||
+          violenceThreshold > 0 ||
+          misconductThreshold > 0 ||
+          groundingThreshold > 0 ||
+          relevanceThreshold > 0,
+        hateThreshold: hateThreshold,
+        insultsThreshold: insultsThreshold,
+        sexualThreshold: sexualThreshold,
+        violenceThreshold: violenceThreshold,
+        misconductThreshold: misconductThreshold,
+        groundingThreshold: groundingThreshold,
+        relevanceThreshold: relevanceThreshold,
+        guardrailArn: '',
+        guardrailVersion: '',
+      },
     })
       .then(() => {
         navigate('/bot/explore');
@@ -706,6 +780,13 @@ const BotKbEditPage: React.FC = () => {
     chunkingMaxTokens,
     chunkingOverlapPercentage,
     openSearchParams,
+    hateThreshold,
+    insultsThreshold,
+    sexualThreshold,
+    violenceThreshold,
+    misconductThreshold,
+    groundingThreshold,
+    relevanceThreshold,
   ]);
 
   const onClickEdit = useCallback(() => {
@@ -757,6 +838,25 @@ const BotKbEditPage: React.FC = () => {
           openSearch: openSearchParams,
           searchParams: searchParams,
         },
+        bedrockGuardrails: {
+          isGuardrailEnabled:
+            hateThreshold > 0 ||
+            insultsThreshold > 0 ||
+            sexualThreshold > 0 ||
+            violenceThreshold > 0 ||
+            misconductThreshold > 0 ||
+            groundingThreshold > 0 ||
+            relevanceThreshold > 0,
+          hateThreshold: hateThreshold,
+          insultsThreshold: insultsThreshold,
+          sexualThreshold: sexualThreshold,
+          violenceThreshold: violenceThreshold,
+          misconductThreshold: misconductThreshold,
+          groundingThreshold: groundingThreshold,
+          relevanceThreshold: relevanceThreshold,
+          guardrailArn: guardrailArn,
+          guardrailVersion: guardrailVersion,
+        },
       })
         .then(() => {
           navigate('/bot/explore');
@@ -794,6 +894,15 @@ const BotKbEditPage: React.FC = () => {
     chunkingMaxTokens,
     chunkingOverlapPercentage,
     openSearchParams,
+    hateThreshold,
+    insultsThreshold,
+    sexualThreshold,
+    violenceThreshold,
+    misconductThreshold,
+    groundingThreshold,
+    relevanceThreshold,
+    guardrailArn,
+    guardrailVersion,
   ]);
 
   const [isOpenSamples, setIsOpenSamples] = useState(false);
@@ -1269,6 +1378,145 @@ const BotKbEditPage: React.FC = () => {
                 </div>
               </ExpandableDrawerGroup>
 
+              <ExpandableDrawerGroup
+                isDefaultShow={false}
+                label={t('guardrails.harmfulCategories.label')}
+                className="py-2">
+                <div className="mt-2">
+                  <Slider
+                    value={hateThreshold}
+                    hint={t('guardrails.harmfulCategories.hate.hint')}
+                    label={t('guardrails.harmfulCategories.hate.label')}
+                    range={{
+                      min: GUARDRAILS_FILTERS_THRESHOLD.MIN,
+                      max: GUARDRAILS_FILTERS_THRESHOLD.MAX,
+                      step: GUARDRAILS_FILTERS_THRESHOLD.STEP,
+                    }}
+                    onChange={(hateThreshold) => {
+                      setHateThreshold(hateThreshold);
+                    }}
+                    enableDecimal={true}
+                    errorMessage={errorMessages['hateThreshold']}
+                  />
+                </div>
+                <div className="mt-2">
+                  <Slider
+                    value={insultsThreshold}
+                    hint={t('guardrails.harmfulCategories.insults.hint')}
+                    label={t('guardrails.harmfulCategories.insults.label')}
+                    range={{
+                      min: GUARDRAILS_FILTERS_THRESHOLD.MIN,
+                      max: GUARDRAILS_FILTERS_THRESHOLD.MAX,
+                      step: GUARDRAILS_FILTERS_THRESHOLD.STEP,
+                    }}
+                    onChange={(insultsThreshold) => {
+                      setInsultsThreshold(insultsThreshold);
+                    }}
+                    enableDecimal={true}
+                    errorMessage={errorMessages['insultsThreshold']}
+                  />
+                </div>
+                <div className="mt-2">
+                  <Slider
+                    value={sexualThreshold}
+                    hint={t('guardrails.harmfulCategories.sexual.hint')}
+                    label={t('guardrails.harmfulCategories.sexual.label')}
+                    range={{
+                      min: GUARDRAILS_FILTERS_THRESHOLD.MIN,
+                      max: GUARDRAILS_FILTERS_THRESHOLD.MAX,
+                      step: GUARDRAILS_FILTERS_THRESHOLD.STEP,
+                    }}
+                    onChange={(sexualThreshold) => {
+                      setSexualThreshold(sexualThreshold);
+                    }}
+                    enableDecimal={true}
+                    errorMessage={errorMessages['sexualThreshold']}
+                  />
+                </div>
+                <div className="mt-2">
+                  <Slider
+                    value={violenceThreshold}
+                    hint={t('guardrails.harmfulCategories.violence.hint')}
+                    label={t('guardrails.harmfulCategories.violence.label')}
+                    range={{
+                      min: GUARDRAILS_FILTERS_THRESHOLD.MIN,
+                      max: GUARDRAILS_FILTERS_THRESHOLD.MAX,
+                      step: GUARDRAILS_FILTERS_THRESHOLD.STEP,
+                    }}
+                    onChange={(violenceThreshold) => {
+                      setViolenceThreshold(violenceThreshold);
+                    }}
+                    enableDecimal={true}
+                    errorMessage={errorMessages['violenceThreshold']}
+                  />
+                </div>
+                <div className="mt-2">
+                  <Slider
+                    value={misconductThreshold}
+                    hint={t('guardrails.harmfulCategories.misconduct.hint')}
+                    label={t('guardrails.harmfulCategories.misconduct.label')}
+                    range={{
+                      min: GUARDRAILS_FILTERS_THRESHOLD.MIN,
+                      max: GUARDRAILS_FILTERS_THRESHOLD.MAX,
+                      step: GUARDRAILS_FILTERS_THRESHOLD.STEP,
+                    }}
+                    onChange={(misconductThreshold) => {
+                      setMisconductThreshold(misconductThreshold);
+                    }}
+                    enableDecimal={true}
+                    errorMessage={errorMessages['misconductThreshold']}
+                  />
+                </div>
+              </ExpandableDrawerGroup>
+
+              <ExpandableDrawerGroup
+                isDefaultShow={false}
+                label={t('guardrails.contextualGroundingCheck.label')}
+                className="py-2">
+                <div className="mt-2">
+                  <Slider
+                    value={groundingThreshold}
+                    hint={t(
+                      'guardrails.contextualGroundingCheck.groundingThreshold.hint'
+                    )}
+                    label={t(
+                      'guardrails.contextualGroundingCheck.groundingThreshold.label'
+                    )}
+                    range={{
+                      min: GUARDRAILS_CONTECTUAL_GROUNDING_THRESHOLD.MIN,
+                      max: GUARDRAILS_CONTECTUAL_GROUNDING_THRESHOLD.MAX,
+                      step: GUARDRAILS_CONTECTUAL_GROUNDING_THRESHOLD.STEP,
+                    }}
+                    onChange={(groundingThreshold) => {
+                      setGroundingThreshold(groundingThreshold);
+                    }}
+                    enableDecimal={true}
+                    errorMessage={errorMessages['groundingThreshold']}
+                  />
+                </div>
+                <div className="mt-2">
+                  <Slider
+                    value={relevanceThreshold}
+                    hint={t(
+                      'guardrails.contextualGroundingCheck.relevanceThreshold.hint'
+                    )}
+                    label={t(
+                      'guardrails.contextualGroundingCheck.relevanceThreshold.label'
+                    )}
+                    range={{
+                      min: GUARDRAILS_CONTECTUAL_GROUNDING_THRESHOLD.MIN,
+                      max: GUARDRAILS_CONTECTUAL_GROUNDING_THRESHOLD.MAX,
+                      step: GUARDRAILS_CONTECTUAL_GROUNDING_THRESHOLD.STEP,
+                    }}
+                    onChange={(relevanceThreshold) => {
+                      setRelevanceThreshold(relevanceThreshold);
+                    }}
+                    enableDecimal={true}
+                    errorMessage={errorMessages['relevanceThreshold']}
+                  />
+                </div>
+              </ExpandableDrawerGroup>
+
               {errorMessages['syncChunkError'] && (
                 <Alert
                   className="mt-2"
diff --git a/frontend/src/i18n/en/index.ts b/frontend/src/i18n/en/index.ts
index 87bf240d4..d6d8d9065 100644
--- a/frontend/src/i18n/en/index.ts
+++ b/frontend/src/i18n/en/index.ts
@@ -619,6 +619,72 @@ How would you categorize this email?`,
         },
       },
     },
+    guardrails: {
+      title: "Guardrails",
+      label: "Enable Guardrails for Amazon Bedrock",
+      hint: "Guardrails for Amazon Bedrock are used to implement application-specific safeguards based on your use cases and responsible AI policies.",
+      harmfulCategories: {
+        label: "Harmful Categories",
+        hint: "Configure content filters by adjusting the degree of filtering to detect and block harmful user inputs and model responses that violate your usage policies. 0: disable, 1: low, 2: middle, 3: High",
+        hate: {
+          label: "Hate",
+          hint: "Describes input prompts and model responses that discriminate, criticize, insult, denounce, or dehumanize a person or group on the basis of an identity (such as race, ethnicity, gender, religion, sexual orientation, ability, and national origin). 0: disable, 1: low, 2: middle, 3: High",
+        },
+        insults: {
+          label: "Insults",
+          hint: "Describes input prompts and model responses that includes demeaning, humiliating, mocking, insulting, or belittling language. This type of language is also labeled as bullying. 0: disable, 1: low, 2: middle, 3: High"
+        },
+        sexual: {
+          label: "Sexual",
+          hint: "Describes input prompts and model responses that indicates sexual interest, activity, or arousal using direct or indirect references to body parts, physical traits, or sex. 0: disable, 1: low, 2: middle, 3: High"
+        },
+        violence: {
+          label: "Violence",
+          hint: "Describes input prompts and model responses that includes glorification of or threats to inflict physical pain, hurt, or injury toward a person, group or thing. 0: disable, 1: low, 2: middle, 3: High "
+        },
+        misconduct: {
+          label: "Misconduct",
+          hint: "Describes input prompts and model responses that seeks or provides information about engaging in misconduct activity, or harming, defrauding, or taking advantage of a person, group or institution. 0: disable, 1: low, 2: middle, 3: High"
+        }
+      },
+      promptAttacks: {
+        hint: "Describes user prompts intended to bypass the safety and moderation capabilities of a foundation model in order to generate harmful content (also known as jailbreak), and ignore and override instructions specified by the developer (referred to as prompt injection). Please refer to Prompt Attack for more details to use it with input tagging."
+      },
+      deniedTopics : {
+        hint: "Add up to 30 denied topics to block user inputs or model responses associated with the topic."
+      },
+      wordFilters: {
+        hint: "Use these filters to block certain words and phrases in user inputs and model responses.",
+        profanityFilter: {
+          hint: "Enable this feature to block profane words in user inputs and model responses. The list of words is based on the global definition of profanity and is subject to change."
+        },
+        customWordsAndPhrases: {
+          hint: "Specify up to 10,000 words or phrases (max 3 words) to be blocked by the guardrail. A blocked message will show if user input or model responses contain these words or phrases."
+        }
+      },
+      sensitiveInformationFilters: {
+        hint: "Use these filters to handle any data related to privacy.",
+        personallyIdentifiableInformationTypes: {
+          PIITypes: {
+          },
+          regexPatterns: {
+          }
+        }
+      },
+      contextualGroundingCheck: {
+        label: "Contextual Grounding Check",
+        hint: "Use this policy to validate if model responses are grounded in the reference source and relevant to user’s query to filter model hallucination.",
+        groundingThreshold: {
+          label: "Grounding",
+          hint: "Validate if the model responses are grounded and factually correct based on the information provided in the reference source, and block responses that are below the defined threshold of grounding. 0: blocks nothing, 0.99: blocks almost everything"
+        },
+        relevanceThreshold: {
+          label: "Relevance",
+          hint: "Validate if the model responses are relevant to the user's query and block responses that are below the defined threshold of relevance. 0: blocks nothing, 0.99: blocks almost everything"
+        }
+      }
+      
+    }
   },
 };
 
diff --git a/frontend/src/i18n/ja/index.ts b/frontend/src/i18n/ja/index.ts
index bb52dcdaf..db5e81237 100644
--- a/frontend/src/i18n/ja/index.ts
+++ b/frontend/src/i18n/ja/index.ts
@@ -616,6 +616,47 @@ const translation = {
         },
       },
     },
+    guardrails: {
+      title: 'ガードレール',
+      label: 'Amazon Bedrockのガードレールを有効にする',
+      hint: 'Amazon Bedrockのガードレールは、ユースケースや責任あるAIポリシーに基づいてアプリケーション固有の保護機能を実装するために使用されます。',
+      harmfulCategories: {
+        label: '有害カテゴリー',
+        hint: 'コンテンツフィルタを構成して、ユーザー入力やモデル応答が使用ポリシーに違反する有害な内容を検出してブロックするフィルタリングの度合いを調整します。0: 無効, 1: 低, 2: 中, 3: 高',
+        hate: {
+          label: '憎悪',
+          hint: '人種、民族、性別、宗教、性的指向、能力、国籍などのアイデンティティに基づいて、個人やグループを差別、批判、侮辱、非難、または非人間化する入力やモデル応答を示します。0: 無効, 1: 低, 2: 中, 3: 高',
+        },
+        insults: {
+          label: '侮辱',
+          hint: '蔑視、屈辱、嘲笑、侮辱、軽蔑の言葉を含む入力やモデル応答を示します。このタイプの言葉は、いじめとも呼ばれます。0: 無効, 1: 低, 2: 中, 3: 高',
+        },
+        sexual: {
+          label: '性的',
+          hint: '体の部位、身体的特徴、性行為に対する直接的または間接的な言及を含む性的な興味や行動、または興奮を示す入力やモデル応答を示します。0: 無効, 1: 低, 2: 中, 3: 高',
+        },
+        violence: {
+          label: '暴力',
+          hint: '個人、グループ、または物体に対する身体的な痛み、傷害を称賛したり、脅迫する内容を含む入力やモデル応答を示します。0: 無効, 1: 低, 2: 中, 3: 高',
+        },
+        misconduct: {
+          label: '不正行為',
+          hint: '不正行為や、人、グループ、機関を害したり、騙したり、悪用したりする情報を求めたり提供したりする入力やモデル応答を示します。0: 無効, 1: 低, 2: 中, 3: 高',
+        },
+      },
+      contextualGroundingCheck: {
+        label: 'コンテキストベースの根拠確認',
+        hint: 'このポリシーを使用して、モデル応答が参照ソースに基づいており、ユーザーの質問に関連しているかどうかを検証し、モデルの幻覚をフィルタリングします。',
+        groundingThreshold: {
+          label: '根拠',
+          hint: 'モデル応答が参照ソースに基づいて事実に即しているかどうかを確認し、定義された根拠の閾値を下回る応答をブロックします。0: 何もブロックしない, 0.99: ほぼすべてをブロックする',
+        },
+        relevanceThreshold: {
+          label: '関連性',
+          hint: 'モデル応答がユーザーの質問に関連しているかどうかを確認し、関連性の閾値を下回る応答をブロックします。0: 何もブロックしない, 0.99: ほぼすべてをブロックする',
+        },
+      },
+    },
   },
 };