bump: version 0.13.3.dev1 → 0.13.3.dev2

litellm/tests/test_langfuse.py

@@ -14,9 +14,9 @@ import time
 
 def test_langfuse_logging_async(): 
     async def _test_langfuse():
-        await litellm.acompletion(
+        return await litellm.acompletion(
             model="gpt-3.5-turbo",
-            prompt="This is a test",
+            messages=[{"role": "user", "content":"This is a test"}],
             max_tokens=1000,
             temperature=0.7,
         )

litellm/utils.py

@@ -828,7 +828,12 @@ def client(original_function):
             model = args[0] if len(args) > 0 else kwargs["model"]
             call_type = original_function.__name__
             if call_type == CallTypes.completion.value:
-                messages = args[1] if len(args) > 1 else kwargs["messages"]
+                if len(args) > 1:
+                    messages = args[1] 
+                elif kwargs.get("messages", None):
+                    messages = kwargs["messages"]
+                elif kwargs.get("prompt", None):
+                    messages = kwargs["prompt"]
             elif call_type == CallTypes.embedding.value:
                 messages = args[1] if len(args) > 1 else kwargs["input"]
             stream = True if "stream" in kwargs and kwargs["stream"] == True else False

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "litellm"
-version = "0.13.3.dev1"
+version = "0.13.3.dev2"
 description = "Library to easily interface with LLM API providers"
 authors = ["BerriAI"]
 license = "MIT License"
@@ -26,7 +26,7 @@ requires = ["poetry-core"]
 build-backend = "poetry.core.masonry.api"
 
 [tool.commitizen]
-version = "0.13.3.dev1"
+version = "0.13.3.dev2"
 version_files = [
     "pyproject.toml:^version"
 ]