feat: add kwargs to other adapters

cognee/infrastructure/llm/structured_output_framework/litellm_instructor/llm/anthropic/adapter.py

@@ -51,7 +51,7 @@ class AnthropicAdapter(LLMInterface):
         reraise=True,
     )
     async def acreate_structured_output(
-        self, text_input: str, system_prompt: str, response_model: Type[BaseModel]
+        self, text_input: str, system_prompt: str, response_model: Type[BaseModel], **kwargs
     ) -> BaseModel:
         """
         Generate a response from a user query.

cognee/infrastructure/llm/structured_output_framework/litellm_instructor/llm/gemini/adapter.py

@@ -79,7 +79,7 @@ class GeminiAdapter(LLMInterface):
         reraise=True,
     )
     async def acreate_structured_output(
-        self, text_input: str, system_prompt: str, response_model: Type[BaseModel]
+        self, text_input: str, system_prompt: str, response_model: Type[BaseModel], **kwargs
     ) -> BaseModel:
         """
         Generate a response from a user query.

cognee/infrastructure/llm/structured_output_framework/litellm_instructor/llm/generic_llm_api/adapter.py

@@ -79,7 +79,7 @@ class GenericAPIAdapter(LLMInterface):
         reraise=True,
     )
     async def acreate_structured_output(
-        self, text_input: str, system_prompt: str, response_model: Type[BaseModel]
+        self, text_input: str, system_prompt: str, response_model: Type[BaseModel], **kwargs
     ) -> BaseModel:
         """
         Generate a response from a user query.

cognee/infrastructure/llm/structured_output_framework/litellm_instructor/llm/mistral/adapter.py

@@ -68,7 +68,7 @@ class MistralAdapter(LLMInterface):
         reraise=True,
     )
     async def acreate_structured_output(
-        self, text_input: str, system_prompt: str, response_model: Type[BaseModel]
+        self, text_input: str, system_prompt: str, response_model: Type[BaseModel], **kwargs
     ) -> BaseModel:
         """
         Generate a response from the user query.

cognee/infrastructure/llm/structured_output_framework/litellm_instructor/llm/ollama/adapter.py

@@ -74,7 +74,7 @@ class OllamaAPIAdapter(LLMInterface):
         reraise=True,
     )
     async def acreate_structured_output(
-        self, text_input: str, system_prompt: str, response_model: Type[BaseModel]
+        self, text_input: str, system_prompt: str, response_model: Type[BaseModel], **kwargs
     ) -> BaseModel:
         """
         Generate a structured output from the LLM using the provided text and system prompt.
@@ -121,7 +121,7 @@ class OllamaAPIAdapter(LLMInterface):
         before_sleep=before_sleep_log(logger, logging.DEBUG),
         reraise=True,
     )
-    async def create_transcript(self, input_file: str) -> str:
+    async def create_transcript(self, input_file: str, **kwargs) -> str:
         """
         Generate an audio transcript from a user query.
 
@@ -160,7 +160,7 @@ class OllamaAPIAdapter(LLMInterface):
         before_sleep=before_sleep_log(logger, logging.DEBUG),
         reraise=True,
     )
-    async def transcribe_image(self, input_file: str) -> str:
+    async def transcribe_image(self, input_file: str, **kwargs) -> str:
         """
         Transcribe content from an image using base64 encoding.