diff --git a/libs/community/langchain_community/llms/bedrock.py b/libs/community/langchain_community/llms/bedrock.py
index dca8cd5f8fd08..90187100d1587 100644
--- a/libs/community/langchain_community/llms/bedrock.py
+++ b/libs/community/langchain_community/llms/bedrock.py
@@ -1,7 +1,9 @@
+from __future__ import annotations
+
 import json
 import warnings
 from abc import ABC
-from typing import Any, Dict, Iterator, List, Mapping, Optional
+from typing import TYPE_CHECKING, Any, Dict, Iterator, List, Mapping, Optional
 
 from langchain_core.callbacks import CallbackManagerForLLMRun
 from langchain_core.language_models.llms import LLM
@@ -15,6 +17,9 @@
     get_token_ids_anthropic,
 )
 
+if TYPE_CHECKING:
+    from botocore.config import Config
+
 HUMAN_PROMPT = "\n\nHuman:"
 ASSISTANT_PROMPT = "\n\nAssistant:"
 ALTERNATION_ERROR = (
@@ -163,6 +168,9 @@ class BedrockBase(BaseModel, ABC):
     See: https://boto3.amazonaws.com/v1/documentation/api/latest/guide/credentials.html
     """
 
+    config: Optional[Config] = None
+    """An optional botocore.config.Config instance to pass to the client."""
+
     model_id: str
     """Id of the model to call, e.g., amazon.titan-text-express-v1, this is
     equivalent to the modelId property in the list-foundation-models api"""
@@ -212,6 +220,8 @@ def validate_environment(cls, values: Dict) -> Dict:
                 client_params["region_name"] = values["region_name"]
             if values["endpoint_url"]:
                 client_params["endpoint_url"] = values["endpoint_url"]
+            if values["config"]:
+                client_params["config"] = values["config"]
 
             values["client"] = session.client("bedrock-runtime", **client_params)