Creating new delayed examples for openai and anthropic.

examples/function-calling/function-calling-openai.py

@@ -4,7 +4,6 @@
 # SPDX-License-Identifier: BSD 2-Clause License
 #
 
-import asyncio
 import os
 
 from dotenv import load_dotenv
@@ -13,10 +12,7 @@ from loguru import logger
 from pipecat.adapters.schemas.function_schema import FunctionSchema
 from pipecat.adapters.schemas.tools_schema import ToolsSchema
 from pipecat.audio.vad.silero import SileroVADAnalyzer
-from pipecat.frames.frames import (
-    LLMRunFrame,
-    TTSSpeakFrame,
-)
+from pipecat.frames.frames import LLMRunFrame, TTSSpeakFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
@@ -39,8 +35,6 @@ load_dotenv(override=True)
 
 
 async def fetch_weather_from_api(params: FunctionCallParams):
-    # Simulate a long-running API call, so we can test async function calls.
-    await asyncio.sleep(20)
     await params.result_callback({"conditions": "nice", "temperature": "75"})
 
 
@@ -94,12 +88,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     # You can also 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",
-        fetch_weather_from_api,
-        cancel_on_interruption=False,
-        timeout_secs=30,
-    )
+    llm.register_function("get_current_weather", fetch_weather_from_api)
     llm.register_function("get_restaurant_recommendation", fetch_restaurant_recommendation)
 
     @llm.event_handler("on_function_calls_started")