diff --git a/app/bedrock.py b/app/bedrock.py
index 280632931..5933864b9 100644
--- a/app/bedrock.py
+++ b/app/bedrock.py
@@ -36,10 +36,20 @@ def model_dump(self, *args, **kwargs):
 
 # Main client class for interacting with Amazon Bedrock
 class BedrockClient:
-    def __init__(self):
+    def __init__(
+        self,
+        aws_access_key_id: str | None = None,
+        aws_secret_access_key: str | None = None,
+        aws_region_name: str | None = None,
+    ):
         # Initialize Bedrock client, you need to configure AWS env first
         try:
-            self.client = boto3.client("bedrock-runtime")
+            self.client = boto3.client(
+                "bedrock-runtime",
+                aws_access_key_id=aws_access_key_id,
+                aws_secret_access_key=aws_secret_access_key,
+                region_name=aws_region_name,
+            )
             self.chat = Chat(self.client)
         except Exception as e:
             print(f"Error initializing Bedrock client: {e}")
@@ -173,9 +183,9 @@ def _convert_bedrock_response_to_openai_format(self, bedrock_response):
                         "role": bedrock_response.get("output", {})
                         .get("message", {})
                         .get("role", "assistant"),
-                        "tool_calls": openai_tool_calls
-                        if openai_tool_calls != []
-                        else None,
+                        "tool_calls": (
+                            openai_tool_calls if openai_tool_calls != [] else None
+                        ),
                         "function_call": None,
                     },
                 }
diff --git a/app/config.py b/app/config.py
index eb91cf432..186089f95 100644
--- a/app/config.py
+++ b/app/config.py
@@ -25,8 +25,13 @@ class LLMSettings(BaseModel):
         description="Maximum input tokens to use across all requests (None for unlimited)",
     )
     temperature: float = Field(1.0, description="Sampling temperature")
-    api_type: str = Field(..., description="Azure, Openai, or Ollama")
+    api_type: str = Field(..., description="Azure, Openai, Ollama or Bedrock")
     api_version: str = Field(..., description="Azure Openai version if AzureOpenai")
+    aws_access_key_id: str = Field(..., description="Aws access key id if Bedrock")
+    aws_secret_access_key: str = Field(
+        ..., description="Aws secret access key if Bedrock"
+    )
+    aws_region_name: str = Field(..., description="Aws region name if Bedrock")
 
 
 class ProxySettings(BaseModel):
@@ -175,6 +180,9 @@ def _load_initial_config(self):
             "temperature": base_llm.get("temperature", 1.0),
             "api_type": base_llm.get("api_type", ""),
             "api_version": base_llm.get("api_version", ""),
+            "aws_access_key_id": base_llm.get("aws_access_key_id", ""),
+            "aws_secret_access_key": base_llm.get("aws_secret_access_key", ""),
+            "aws_region_name": base_llm.get("aws_region_name", ""),
         }
 
         # handle browser config.
diff --git a/app/llm.py b/app/llm.py
index 37d493b76..ebf1ba1d8 100644
--- a/app/llm.py
+++ b/app/llm.py
@@ -203,6 +203,9 @@ def __init__(
             self.api_key = llm_config.api_key
             self.api_version = llm_config.api_version
             self.base_url = llm_config.base_url
+            self.aws_access_key_id = llm_config.aws_access_key_id
+            self.aws_secret_access_key = llm_config.aws_secret_access_key
+            self.aws_region_name = llm_config.aws_region_name
 
             # Add token counting related attributes
             self.total_input_tokens = 0
@@ -227,7 +230,11 @@ def __init__(
                     api_version=self.api_version,
                 )
             elif self.api_type == "aws":
-                self.client = BedrockClient()
+                self.client = BedrockClient(
+                    aws_access_key_id=self.aws_access_key_id,
+                    aws_secret_access_key=self.aws_secret_access_key,
+                    aws_region_name=self.aws_region_name,
+                )
             else:
                 self.client = AsyncOpenAI(api_key=self.api_key, base_url=self.base_url)
 
diff --git a/config/config.example.toml b/config/config.example.toml
index e4560513a..2f6cdff11 100644
--- a/config/config.example.toml
+++ b/config/config.example.toml
@@ -13,6 +13,9 @@ temperature = 0.0                          # Controls randomness
 # max_tokens = 8192
 # temperature = 1.0
 # api_key = "bear"                                       # Required but not used for Bedrock
+# aws_access_key_id = ""                                 # Required
+# aws_secret_access_key = ""                             # Required
+# aws_region_name = "us-west-2"                          # Required
 
 # [llm] #AZURE OPENAI:
 # api_type= 'azure'