fix(client): some minor code fixes...

langfuse/api/core/jsonable_encoder.py

@@ -98,8 +98,7 @@ def jsonable_encoder(
     try:
         data = dict(obj)
     except Exception as e:
-        errors: List[Exception] = []
-        errors.append(e)
+        errors: List[Exception] = [e]
         try:
             data = vars(obj)
         except Exception as e:

langfuse/client.py

@@ -1298,7 +1298,7 @@ def create_prompt(
         name: str,
         prompt: List[ChatMessageDict],
         is_active: Optional[bool] = None,  # deprecated
-        labels: List[str] = [],
+        labels: Optional[List[str]] = None,
         tags: Optional[List[str]] = None,
         type: Optional[Literal["chat"]],
         config: Optional[Any] = None,
@@ -1312,7 +1312,7 @@ def create_prompt(
         name: str,
         prompt: str,
         is_active: Optional[bool] = None,  # deprecated
-        labels: List[str] = [],
+        labels: Optional[List[str]] = None,
         tags: Optional[List[str]] = None,
         type: Optional[Literal["text"]] = "text",
         config: Optional[Any] = None,
@@ -1325,7 +1325,7 @@ def create_prompt(
         name: str,
         prompt: Union[str, List[ChatMessageDict]],
         is_active: Optional[bool] = None,  # deprecated
-        labels: List[str] = [],
+        labels: Optional[List[str]] = None,
         tags: Optional[List[str]] = None,
         type: Optional[Literal["chat", "text"]] = "text",
         config: Optional[Any] = None,
@@ -1347,6 +1347,8 @@ def create_prompt(
             TextPromptClient: The prompt if type argument is 'text'.
             ChatPromptClient: The prompt if type argument is 'chat'.
         """
+        if labels is None:
+            labels = []
         try:
             self.log.debug(f"Creating prompt {name=}, {version=}, {labels=}")
 
@@ -1401,7 +1403,7 @@ def update_prompt(
         *,
         name: str,
         version: int,
-        new_labels: List[str] = [],
+        new_labels: Optional[List[str]] = None,
     ):
         """Update an existing prompt version in Langfuse. The Langfuse SDK prompt cache is invalidated for all prompts witht he specified name.
 
@@ -1414,6 +1416,8 @@ def update_prompt(
             Prompt: The updated prompt from the Langfuse API.
 
         """
+        if new_labels is None:
+            new_labels = []
         updated_prompt = self.client.prompt_version.update(
             name=name,
             version=version,
@@ -3424,7 +3428,7 @@ def observe_llama_index(
         run_name: str,
         run_description: Optional[str] = None,
         run_metadata: Optional[Any] = None,
-        llama_index_integration_constructor_kwargs: Optional[Dict[str, Any]] = {},
+        llama_index_integration_constructor_kwargs: Optional[Dict[str, Any]] = None,
     ):
         """Context manager for observing LlamaIndex operations linked to this dataset item.
 
@@ -3454,6 +3458,8 @@ def observe_llama_index(
         Raises:
             ImportError: If required modules for LlamaIndex integration are not available.
         """
+        if llama_index_integration_constructor_kwargs is None:
+            llama_index_integration_constructor_kwargs = {}
         metadata = {
             "dataset_item_id": self.id,
             "run_name": run_name,
@@ -3513,7 +3519,7 @@ def get_llama_index_handler(
         run_name: str,
         run_description: Optional[str] = None,
         run_metadata: Optional[Any] = None,
-        llama_index_integration_constructor_kwargs: Optional[Dict[str, Any]] = {},
+        llama_index_integration_constructor_kwargs: Optional[Dict[str, Any]] = None,
     ):
         """Create and get a llama-index callback handler linked to this dataset item.
 
@@ -3526,6 +3532,8 @@ def get_llama_index_handler(
         Returns:
             LlamaIndexCallbackHandler: An instance of LlamaIndexCallbackHandler linked to the dataset item.
         """
+        if llama_index_integration_constructor_kwargs is None:
+            llama_index_integration_constructor_kwargs = {}
         metadata = {
             "dataset_item_id": self.id,
             "run_name": run_name,

langfuse/decorators/langfuse_decorator.py

@@ -289,10 +289,12 @@ def _prepare_call(
         capture_input: bool,
         is_method: bool = False,
         func_args: Tuple = (),
-        func_kwargs: Dict = {},
+        func_kwargs: Optional[Dict] = None,
     ) -> Optional[
         Union[StatefulSpanClient, StatefulTraceClient, StatefulGenerationClient]
     ]:
+        if func_kwargs is None:
+            func_kwargs = {}
         try:
             stack = _observation_stack_context.get().copy()
             parent = stack[-1] if stack else None
@@ -392,8 +394,10 @@ def _get_input_from_func_args(
         *,
         is_method: bool = False,
         func_args: Tuple = (),
-        func_kwargs: Dict = {},
+        func_kwargs: Optional[Dict] = None,
     ) -> Any:
+        if func_kwargs is None:
+            func_kwargs = {}
         # Remove implicitly passed "self" or "cls" argument for instance or class methods
         logged_args = func_args[1:] if is_method else func_args
         raw_input = {

langfuse/openai.py

@@ -847,6 +847,7 @@ def initialize(self):
 
         return self._langfuse
 
+    @classmethod
     def flush(cls):
         cls._langfuse.flush()
 

langfuse/parse_error.py

@@ -45,7 +45,7 @@
 }
 
 
-def generate_error_message_fern(error: Error) -> str:
+def generate_error_message_fern(error: Exception) -> str:
     if isinstance(error, AccessDeniedError):
         return errorResponseByCode.get(403, defaultErrorResponse)
     elif isinstance(error, MethodNotAllowedError):
@@ -67,7 +67,7 @@ def generate_error_message_fern(error: Error) -> str:
         return defaultErrorResponse
 
 
-def handle_fern_exception(exception: Error) -> None:
+def handle_fern_exception(exception: Exception) -> None:
     log = logging.getLogger("langfuse")
     log.debug(exception)
     error_message = generate_error_message_fern(exception)

langfuse/utils/error_logging.py

@@ -18,11 +18,14 @@ def wrapper(*args, **kwargs):
     return wrapper
 
 
-def auto_decorate_methods_with(decorator, exclude: Optional[List[str]] = []):
+def auto_decorate_methods_with(decorator, exclude: Optional[List[str]] = None):
     """Class decorator to automatically apply a given decorator to all
     methods of a class.
     """
 
+    if exclude is None:
+        exclude = []
+
     def class_decorator(cls):
         for attr_name, attr_value in cls.__dict__.items():
             if attr_name in exclude: