Update foundational examples to use the development runner

examples/foundational/19-openai-realtime-beta.py

@@ -4,7 +4,7 @@
 # SPDX-License-Identifier: BSD 2-Clause License
 #
 
-import argparse
+
 import os
 from datetime import datetime
 
@@ -20,6 +20,8 @@ from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
 from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext
 from pipecat.processors.transcript_processor import TranscriptProcessor
+from pipecat.runner.types import RunnerArguments
+from pipecat.runner.utils import create_transport
 from pipecat.services.llm_service import FunctionCallParams
 from pipecat.services.openai_realtime_beta import (
     InputAudioNoiseReduction,
@@ -106,7 +108,7 @@ transport_params = {
 }
 
 
-async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_sigint: bool):
+async def run_bot(transport: BaseTransport):
     logger.info(f"Starting bot")
 
     session_properties = SessionProperties(
@@ -211,12 +213,18 @@ Remember, your responses should be short. Just one or two sentences, usually."""
                 line = f"{timestamp}{msg.role}: {msg.content}"
                 logger.info(f"Transcript: {line}")
 
-    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()