UI - new API Playground for testing LiteLLM translation (#9073)

* feat: initial commit - enable dev to see translated request

* feat(utils.py): expose new endpoint - `/utils/transform_request` to see the raw request sent by litellm

* feat(transform_request.tsx): allow user to see their transformed request

* refactor(litellm_logging.py): return raw request in 3 parts - api_base, headers, request body

easier to render each individually on UI vs. extracting from combined string

* feat: transform_request.tsx

working e2e raw request viewing

* fix(litellm_logging.py): fix transform viewing for bedrock models

* fix(litellm_logging.py): don't return sensitive headers in raw request headers

prevent accidental leak

* feat(transform_request.tsx): style improvements

litellm/utils.py

@@ -156,6 +156,7 @@ from litellm.types.utils import (
     ModelResponseStream,
     ProviderField,
     ProviderSpecificModelInfo,
+    RawRequestTypedDict,
     SelectTokenizerResponse,
     StreamingChoices,
     TextChoices,
@@ -6477,3 +6478,48 @@ def add_openai_metadata(metadata: dict) -> dict:
     }
 
     return visible_metadata.copy()
+
+
+def return_raw_request(endpoint: CallTypes, kwargs: dict) -> RawRequestTypedDict:
+    """
+    Return the json str of the request
+
+    This is currently in BETA, and tested for `/chat/completions` -> `litellm.completion` calls.
+    """
+    from datetime import datetime
+
+    from litellm.litellm_core_utils.litellm_logging import Logging
+
+    litellm_logging_obj = Logging(
+        model="gpt-3.5-turbo",
+        messages=[{"role": "user", "content": "hi"}],
+        stream=False,
+        call_type="acompletion",
+        litellm_call_id="1234",
+        start_time=datetime.now(),
+        function_id="1234",
+        log_raw_request_response=True,
+    )
+
+    llm_api_endpoint = getattr(litellm, endpoint.value)
+
+    received_exception = ""
+
+    try:
+        llm_api_endpoint(
+            **kwargs,
+            litellm_logging_obj=litellm_logging_obj,
+            api_key="my-fake-api-key",  # 👈 ensure the request fails
+        )
+    except Exception as e:
+        received_exception = str(e)
+
+    raw_request_typed_dict = litellm_logging_obj.model_call_details.get(
+        "raw_request_typed_dict"
+    )
+    if raw_request_typed_dict:
+        return cast(RawRequestTypedDict, raw_request_typed_dict)
+    else:
+        return RawRequestTypedDict(
+            error=received_exception,
+        )