Litellm dev 01 22 2025 p4 (#7932)

* feat(main.py): add new 'provider_specific_header' param

allows passing extra header for specific provider

* fix(litellm_pre_call_utils.py): add unit test for pre call utils

* test(test_bedrock_completion.py): skip test now that bedrock supports this

litellm/main.py

@@ -179,6 +179,7 @@
     HiddenParams,
     LlmProviders,
     PromptTokensDetails,
+    ProviderSpecificHeader,
     all_litellm_params,
 )
 
@@ -832,6 +833,9 @@ def completion(  # type: ignore # noqa: PLR0915
     model_info = kwargs.get("model_info", None)
     proxy_server_request = kwargs.get("proxy_server_request", None)
     fallbacks = kwargs.get("fallbacks", None)
+    provider_specific_header = cast(
+        Optional[ProviderSpecificHeader], kwargs.get("provider_specific_header", None)
+    )
     headers = kwargs.get("headers", None) or extra_headers
     ensure_alternating_roles: Optional[bool] = kwargs.get(
         "ensure_alternating_roles", None
@@ -937,6 +941,13 @@ def completion(  # type: ignore # noqa: PLR0915
             api_base=api_base,
             api_key=api_key,
         )
+
+        if (
+            provider_specific_header is not None
+            and provider_specific_header["custom_llm_provider"] == custom_llm_provider
+        ):
+            headers.update(provider_specific_header["extra_headers"])
+
         if model_response is not None and hasattr(model_response, "_hidden_params"):
             model_response._hidden_params["custom_llm_provider"] = custom_llm_provider
             model_response._hidden_params["region_name"] = kwargs.get(

litellm/proxy/litellm_pre_call_utils.py

@@ -20,6 +20,7 @@
 from litellm.types.llms.anthropic import ANTHROPIC_API_HEADERS
 from litellm.types.services import ServiceTypes
 from litellm.types.utils import (
+    ProviderSpecificHeader,
     StandardLoggingUserAPIKeyMetadata,
     SupportedCacheControls,
 )
@@ -729,19 +730,20 @@ def add_provider_specific_headers_to_request(
     data: dict,
     headers: dict,
 ):
-
-    extra_headers = data.get("extra_headers", {}) or {}
-
+    anthropic_headers = {}
     # boolean to indicate if a header was added
     added_header = False
     for header in ANTHROPIC_API_HEADERS:
         if header in headers:
             header_value = headers[header]
-            extra_headers.update({header: header_value})
+            anthropic_headers[header] = header_value
             added_header = True
 
     if added_header is True:
-        data["extra_headers"] = extra_headers
+        data["provider_specific_header"] = ProviderSpecificHeader(
+            custom_llm_provider="anthropic",
+            extra_headers=anthropic_headers,
+        )
 
     return
 

litellm/types/utils.py

@@ -1658,6 +1658,7 @@ class StandardCallbackDynamicParams(TypedDict, total=False):
     "api_key",
     "api_version",
     "prompt_id",
+    "provider_specific_header",
     "prompt_variables",
     "api_base",
     "force_timeout",
@@ -1879,3 +1880,8 @@ class HttpHandlerRequestFields(TypedDict, total=False):
     params: dict  # query params
     files: dict  # file uploads
     content: Any  # raw content
+
+
+class ProviderSpecificHeader(TypedDict):
+    custom_llm_provider: str
+    extra_headers: dict

tests/local_testing/test_completion.py

@@ -4550,3 +4550,33 @@ def test_deepseek_reasoning_content_completion():
         resp.choices[0].message.provider_specific_fields["reasoning_content"]
         is not None
     )
+
+
+@pytest.mark.parametrize(
+    "custom_llm_provider, expected_result",
+    [("anthropic", {"anthropic-beta": "test"}), ("bedrock", {}), ("vertex_ai", {})],
+)
+def test_provider_specific_header(custom_llm_provider, expected_result):
+    from litellm.types.utils import ProviderSpecificHeader
+    from litellm.llms.custom_httpx.http_handler import HTTPHandler
+    from unittest.mock import patch
+
+    litellm.set_verbose = True
+    client = HTTPHandler()
+    with patch.object(client, "post", return_value=MagicMock()) as mock_post:
+        try:
+            resp = litellm.completion(
+                model="anthropic/claude-3-5-sonnet-v2@20241022",
+                messages=[{"role": "user", "content": "Hello world"}],
+                provider_specific_header=ProviderSpecificHeader(
+                    custom_llm_provider="anthropic",
+                    extra_headers={"anthropic-beta": "test"},
+                ),
+                client=client,
+            )
+        except Exception as e:
+            print(f"Error: {e}")
+
+        mock_post.assert_called_once()
+        print(mock_post.call_args.kwargs["headers"])
+        assert "anthropic-beta" in mock_post.call_args.kwargs["headers"]

tests/proxy_unit_tests/test_proxy_utils.py

@@ -1495,3 +1495,68 @@ def test_custom_openapi(mock_get_openapi_schema):
 
     openapi_schema = custom_openapi()
     assert openapi_schema is not None
+
+
+def test_provider_specific_header():
+    from litellm.proxy.litellm_pre_call_utils import (
+        add_provider_specific_headers_to_request,
+    )
+
+    data = {
+        "model": "gemini-1.5-flash",
+        "messages": [
+            {
+                "role": "user",
+                "content": [{"type": "text", "text": "Tell me a joke"}],
+            }
+        ],
+        "stream": True,
+        "proxy_server_request": {
+            "url": "http://0.0.0.0:4000/v1/chat/completions",
+            "method": "POST",
+            "headers": {
+                "content-type": "application/json",
+                "anthropic-beta": "prompt-caching-2024-07-31",
+                "user-agent": "PostmanRuntime/7.32.3",
+                "accept": "*/*",
+                "postman-token": "81cccd87-c91d-4b2f-b252-c0fe0ca82529",
+                "host": "0.0.0.0:4000",
+                "accept-encoding": "gzip, deflate, br",
+                "connection": "keep-alive",
+                "content-length": "240",
+            },
+            "body": {
+                "model": "gemini-1.5-flash",
+                "messages": [
+                    {
+                        "role": "user",
+                        "content": [{"type": "text", "text": "Tell me a joke"}],
+                    }
+                ],
+                "stream": True,
+            },
+        },
+    }
+
+    headers = {
+        "content-type": "application/json",
+        "anthropic-beta": "prompt-caching-2024-07-31",
+        "user-agent": "PostmanRuntime/7.32.3",
+        "accept": "*/*",
+        "postman-token": "81cccd87-c91d-4b2f-b252-c0fe0ca82529",
+        "host": "0.0.0.0:4000",
+        "accept-encoding": "gzip, deflate, br",
+        "connection": "keep-alive",
+        "content-length": "240",
+    }
+
+    add_provider_specific_headers_to_request(
+        data=data,
+        headers=headers,
+    )
+    assert data["provider_specific_header"] == {
+        "custom_llm_provider": "anthropic",
+        "extra_headers": {
+            "anthropic-beta": "prompt-caching-2024-07-31",
+        },
+    }