Rename example files to prepend parent folder name, preventing package shadowing

Example files like openai.py shadow installed packages when Python adds the
script directory to sys.path. Prepend the parent folder name to each example
file (e.g. openai.py -> function-calling-openai.py). Also split
thinking-and-mcp/ into separate mcp/ and thinking/ directories.

examples/video-processing/video-processing-gstreamer-filesrc.py

@@ -0,0 +1,92 @@
+#
+# Copyright (c) 2024-2026, Daily
+#
+# SPDX-License-Identifier: BSD 2-Clause License
+#
+
+import argparse
+
+from dotenv import load_dotenv
+from loguru import logger
+
+from pipecat.pipeline.pipeline import Pipeline
+from pipecat.pipeline.runner import PipelineRunner
+from pipecat.pipeline.task import PipelineTask
+from pipecat.processors.gstreamer.pipeline_source import GStreamerPipelineSource
+from pipecat.runner.types import RunnerArguments
+from pipecat.runner.utils import create_transport
+from pipecat.transports.base_transport import BaseTransport, TransportParams
+from pipecat.transports.daily.transport import DailyParams
+
+load_dotenv(override=True)
+
+# We use lambdas to defer transport parameter creation until the transport
+# type is selected at runtime.
+transport_params = {
+    "daily": lambda: DailyParams(
+        audio_out_enabled=True,
+        video_out_enabled=True,
+        video_out_is_live=True,
+        video_out_width=1280,
+        video_out_height=720,
+    ),
+    "webrtc": lambda: TransportParams(
+        audio_out_enabled=True,
+        video_out_enabled=True,
+        video_out_is_live=True,
+        video_out_width=1280,
+        video_out_height=720,
+    ),
+}
+
+
+async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
+    logger.info(f"Starting bot with video input: {runner_args.cli_args.input}")
+
+    gst = GStreamerPipelineSource(
+        pipeline=f"filesrc location={runner_args.cli_args.input}",
+        out_params=GStreamerPipelineSource.OutputParams(
+            video_width=1280,
+            video_height=720,
+        ),
+    )
+
+    pipeline = Pipeline(
+        [
+            gst,  # GStreamer file source
+            transport.output(),  # Transport bot output
+        ]
+    )
+
+    task = PipelineTask(
+        pipeline,
+        idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
+    )
+
+    @transport.event_handler("on_client_connected")
+    async def on_client_connected(transport, client):
+        logger.info(f"Client connected")
+
+    @transport.event_handler("on_client_disconnected")
+    async def on_client_disconnected(transport, client):
+        logger.info(f"Client disconnected")
+        await task.cancel()
+
+    runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
+
+    await runner.run(task)
+
+
+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, runner_args)
+
+
+if __name__ == "__main__":
+    from pipecat.runner.run import main
+
+    parser = argparse.ArgumentParser(description="Pipecat Video Streaming Bot")
+    parser.add_argument("-i", "--input", type=str, required=True, help="Input video file")
+
+    main(parser)