Update foundational examples to use the development runner

examples/foundational/14n-function-calling-perplexity.py

@@ -11,7 +11,6 @@ currently support function calling. The example shows basic chat completion func
 using Perplexity's API while maintaining compatibility with the OpenAI interface.
 """
 
-import argparse
 import os
 
 from dotenv import load_dotenv
@@ -22,6 +21,8 @@ from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
 from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext
+from pipecat.runner.types import RunnerArguments
+from pipecat.runner.utils import create_transport
 from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.services.perplexity.llm import PerplexityLLMService
@@ -53,7 +54,7 @@ transport_params = {
 }
 
 
-async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_sigint: bool):
+async def run_bot(transport: BaseTransport):
     logger.info(f"Starting bot")
 
     stt = DeepgramSTTService(api_key=os.getenv("DEEPGRAM_API_KEY"))
@@ -106,12 +107,18 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
         logger.info(f"Client disconnected")
         await task.cancel()
 
-    runner = PipelineRunner(handle_sigint=handle_sigint)
+    runner = PipelineRunner(handle_sigint=False)
 
     await runner.run(task)
 
 
-if __name__ == "__main__":
-    from pipecat.examples.run import main
+async def bot(runner_args: RunnerArguments):
+    """Main bot entry point compatible with Pipecat Cloud."""
+    transport = await create_transport(runner_args, transport_params)
+    await run_bot(transport)
 
-    main(run_example, transport_params=transport_params)
+
+if __name__ == "__main__":
+    from pipecat.runner.run import main
+
+    main()