extra headers

litellm/llms/bedrock.py

@@ -495,6 +495,15 @@ class AmazonStabilityConfig:
         }
 
 
+def add_custom_header(headers):
+    """Closure to capture the headers and add them."""
+    def callback(request, **kwargs):
+        """Actual callback function that Boto3 will call."""
+        for header_name, header_value in headers.items():
+            request.headers.add_header(header_name, header_value)
+    return callback
+
+
 def init_bedrock_client(
     region_name=None,
     aws_access_key_id: Optional[str] = None,
@@ -504,12 +513,12 @@ def init_bedrock_client(
     aws_session_name: Optional[str] = None,
     aws_profile_name: Optional[str] = None,
     aws_role_name: Optional[str] = None,
+    extra_headers: Optional[dict] = None,
     timeout: Optional[int] = None,
 ):
     # check for custom AWS_REGION_NAME and use it if not passed to init_bedrock_client
     litellm_aws_region_name = get_secret("AWS_REGION_NAME", None)
     standard_aws_region_name = get_secret("AWS_REGION", None)
-
     ## CHECK IS  'os.environ/' passed in
     # Define the list of parameters to check
     params_to_check = [
@@ -618,6 +627,8 @@ def init_bedrock_client(
             endpoint_url=endpoint_url,
             config=config,
         )
+    if extra_headers:
+        client.meta.events.register('before-sign.bedrock-runtime.*', add_custom_header(extra_headers))
 
     return client
 
@@ -677,6 +688,7 @@ def completion(
     litellm_params=None,
     logger_fn=None,
     timeout=None,
+    extra_headers: Optional[dict] = None,
 ):
     exception_mapping_worked = False
     try:
@@ -704,6 +716,7 @@ def completion(
                 aws_role_name=aws_role_name,
                 aws_session_name=aws_session_name,
                 aws_profile_name=aws_profile_name,
+                extra_headers=extra_headers,
                 timeout=timeout,
             )
 

litellm/llms/prompt_templates/factory.py

@@ -604,13 +604,14 @@ def convert_to_anthropic_tool_result(message: dict) -> str:
 def convert_to_anthropic_tool_invoke(tool_calls: list) -> str:
     invokes = ""
     for tool in tool_calls:
-        if tool.type != "function":
+        tool = dict(tool)
+        if tool["type"] != "function":
             continue
-
+        tool_function = dict(tool["function"])
-        tool_name = tool.function.name
+        tool_name = tool_function["name"]
         parameters = "".join(
             f"<{param}>{val}</{param}>\n"
-            for param, val in json.loads(tool.function.arguments).items()
+            for param, val in json.loads(tool_function["arguments"]).items()
         )
         invokes += (
             "<invoke>\n"

litellm/main.py

@@ -1749,6 +1749,7 @@ def completion(
                 logger_fn=logger_fn,
                 encoding=encoding,
                 logging_obj=logging,
+                extra_headers=extra_headers,
                 timeout=timeout,
             )
 

litellm/utils.py

@@ -5146,7 +5146,7 @@ def get_supported_openai_params(model: str, custom_llm_provider: str):
     """
     if custom_llm_provider == "bedrock":
         if model.startswith("anthropic.claude-3"):
-            return litellm.AmazonAnthropicClaude3Config().get_supported_openai_params()
+            return litellm.AmazonAnthropicClaude3Config().get_supported_openai_params() + ["extra_headers"]
         elif model.startswith("anthropic"):
             return litellm.AmazonAnthropicConfig().get_supported_openai_params()
         elif model.startswith("ai21"):