Implementing unified format for function calling.

src/pipecat/services/ai_services.py

@@ -8,10 +8,12 @@ import asyncio
 import io
 import wave
 from abc import abstractmethod
-from typing import Any, AsyncGenerator, Dict, List, Mapping, Optional, Tuple
+from typing import Any, AsyncGenerator, Dict, List, Mapping, Optional, Tuple, Type
 
 from loguru import logger
 
+from pipecat.adapters.base_llm_adapter import BaseLLMAdapter
+from pipecat.adapters.services.open_ai_adapter import OpenAILLMAdapter
 from pipecat.audio.utils import calculate_audio_volume, exp_smoothing
 from pipecat.frames.frames import (
     AudioRawFrame,
@@ -137,10 +139,23 @@ class AIService(FrameProcessor):
 class LLMService(AIService):
     """This class is a no-op but serves as a base class for LLM services."""
 
+    # OpenAILLMAdapter is used as the default adapter since it aligns with most LLM implementations.
+    # However, subclasses should override this with a more specific adapter when necessary.
+    adapter_class: Type[BaseLLMAdapter] = OpenAILLMAdapter
+
     def __init__(self, **kwargs):
         super().__init__(**kwargs)
         self._callbacks = {}
         self._start_callbacks = {}
+        self._adapter = self.adapter_class()
+
+    def get_llm_adapter(self) -> BaseLLMAdapter:
+        return self._adapter
+
+    def create_context_aggregator(
+        self, context: OpenAILLMContext, *, assistant_expect_stripped_words: bool = True
+    ) -> Any:
+        pass
 
         self._register_event_handler("on_completion_timeout")