fix function calling examples

examples/foundational/14-function-calling.py

@@ -13,10 +13,6 @@ from pipecat.frames.frames import TextFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineTask
-from pipecat.processors.aggregators.llm_response import (
-    LLMAssistantContextAggregator,
-    LLMUserContextAggregator,
-)
 from pipecat.processors.logger import FrameLogger
 from pipecat.services.elevenlabs import ElevenLabsTTSService
 from pipecat.services.openai import OpenAILLMContext, OpenAILLMService
@@ -36,12 +32,12 @@ logger.remove(0)
 logger.add(sys.stderr, level="DEBUG")
 
 
-async def start_fetch_weather(llm, function_name):
+async def start_fetch_weather(llm, context, function_name):
     await llm.push_frame(TextFrame("Let me check on that."))
 
 
-async def fetch_weather_from_api(llm, function_name, args):
-    return {"conditions": "nice", "temperature": "75"}
+async def fetch_weather_from_api(function_name, tool_call_id, args, llm, context, result_callback):
+    await result_callback({"conditions": "nice", "temperature": "75"})
 
 
 async def main():
@@ -72,7 +68,6 @@ async def main():
         # Register a function_name of None to get all functions
         # sent to the same callback with an additional function_name parameter.
         llm.register_function(
-            #"get_current_weather",
             None,
             fetch_weather_from_api,
             start_callback=start_fetch_weather)
@@ -114,17 +109,17 @@ async def main():
         ]
 
         context = OpenAILLMContext(messages, tools)
-        tma_in = LLMUserContextAggregator(context)
-        tma_out = LLMAssistantContextAggregator(context)
+        context_aggregator = llm.create_context_aggregator(context)
+
         pipeline = Pipeline([
             fl_in,
             transport.input(),
-            tma_in,
+            context_aggregator.user(),
             llm,
             fl_out,
             tts,
             transport.output(),
-            tma_out
+            context_aggregator.assistant(),
         ])
 
         task = PipelineTask(pipeline)