Update function calling examples to push a TextFrame in the start_callback

examples/foundational/14-function-calling.py

@@ -15,6 +15,7 @@ from openai.types.chat import ChatCompletionToolParam
 from runner import configure
 
 from pipecat.audio.vad.silero import SileroVADAnalyzer
+from pipecat.frames.frames import TextFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
@@ -29,11 +30,8 @@ logger.add(sys.stderr, level="DEBUG")
 
 
 async def start_fetch_weather(function_name, llm, context):
-    # note: we can't push a frame to the LLM here. the bot
+    """Push a frame to the LLM; this is handy when the LLM response might take a while."""
-    # can interrupt itself and/or cause audio overlapping glitches.
+    await llm.push_frame(TextFrame("Let me check on that."))
-    # possible question for Aleix and Chad about what the right way
-    # to trigger speech is, now, with the new queues/async/sync refactors.
-    # await llm.push_frame(TextFrame("Let me check on that."))
     logger.debug(f"Starting fetch_weather_from_api with function_name: {function_name}")
 
 

examples/foundational/14c-function-calling-together.py

@@ -15,6 +15,7 @@ from openai.types.chat import ChatCompletionToolParam
 from runner import configure
 
 from pipecat.audio.vad.silero import SileroVADAnalyzer
+from pipecat.frames.frames import TextFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineTask
@@ -30,11 +31,8 @@ logger.add(sys.stderr, level="DEBUG")
 
 
 async def start_fetch_weather(function_name, llm, context):
-    # note: we can't push a frame to the LLM here. the bot
+    """Push a frame to the LLM; this is handy when the LLM response might take a while."""
-    # can interrupt itself and/or cause audio overlapping glitches.
+    await llm.push_frame(TextFrame("Let me check on that."))
-    # possible question for Aleix and Chad about what the right way
-    # to trigger speech is, now, with the new queues/async/sync refactors.
-    # await llm.push_frame(TextFrame("Let me check on that."))
     logger.debug(f"Starting fetch_weather_from_api with function_name: {function_name}")
 
 

examples/foundational/14f-function-calling-groq.py

@@ -15,6 +15,7 @@ from openai.types.chat import ChatCompletionToolParam
 from runner import configure
 
 from pipecat.audio.vad.silero import SileroVADAnalyzer
+from pipecat.frames.frames import TextFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
@@ -30,11 +31,8 @@ logger.add(sys.stderr, level="DEBUG")
 
 
 async def start_fetch_weather(function_name, llm, context):
-    # note: we can't push a frame to the LLM here. the bot
+    """Push a frame to the LLM; this is handy when the LLM response might take a while."""
-    # can interrupt itself and/or cause audio overlapping glitches.
+    await llm.push_frame(TextFrame("Let me check on that."))
-    # possible question for Aleix and Chad about what the right way
-    # to trigger speech is, now, with the new queues/async/sync refactors.
-    # await llm.push_frame(TextFrame("Let me check on that."))
     logger.debug(f"Starting fetch_weather_from_api with function_name: {function_name}")
 
 

examples/foundational/14g-function-calling-grok.py

@@ -15,6 +15,7 @@ from openai.types.chat import ChatCompletionToolParam
 from runner import configure
 
 from pipecat.audio.vad.silero import SileroVADAnalyzer
+from pipecat.frames.frames import TextFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
@@ -30,11 +31,8 @@ logger.add(sys.stderr, level="DEBUG")
 
 
 async def start_fetch_weather(function_name, llm, context):
-    # note: we can't push a frame to the LLM here. the bot
+    """Push a frame to the LLM; this is handy when the LLM response might take a while."""
-    # can interrupt itself and/or cause audio overlapping glitches.
+    await llm.push_frame(TextFrame("Let me check on that."))
-    # possible question for Aleix and Chad about what the right way
-    # to trigger speech is, now, with the new queues/async/sync refactors.
-    # await llm.push_frame(TextFrame("Let me check on that."))
     logger.debug(f"Starting fetch_weather_from_api with function_name: {function_name}")
 
 

examples/foundational/14h-function-calling-azure.py

@@ -15,6 +15,7 @@ from openai.types.chat import ChatCompletionToolParam
 from runner import configure
 
 from pipecat.audio.vad.silero import SileroVADAnalyzer
+from pipecat.frames.frames import TextFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
@@ -30,11 +31,8 @@ logger.add(sys.stderr, level="DEBUG")
 
 
 async def start_fetch_weather(function_name, llm, context):
-    # note: we can't push a frame to the LLM here. the bot
+    """Push a frame to the LLM; this is handy when the LLM response might take a while."""
-    # can interrupt itself and/or cause audio overlapping glitches.
+    await llm.push_frame(TextFrame("Let me check on that."))
-    # possible question for Aleix and Chad about what the right way
-    # to trigger speech is, now, with the new queues/async/sync refactors.
-    # await llm.push_frame(TextFrame("Let me check on that."))
     logger.debug(f"Starting fetch_weather_from_api with function_name: {function_name}")
 
 

examples/foundational/14i-function-calling-fireworks.py

@@ -15,6 +15,7 @@ from openai.types.chat import ChatCompletionToolParam
 from runner import configure
 
 from pipecat.audio.vad.silero import SileroVADAnalyzer
+from pipecat.frames.frames import TextFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
@@ -30,11 +31,8 @@ logger.add(sys.stderr, level="DEBUG")
 
 
 async def start_fetch_weather(function_name, llm, context):
-    # note: we can't push a frame to the LLM here. the bot
+    """Push a frame to the LLM; this is handy when the LLM response might take a while."""
-    # can interrupt itself and/or cause audio overlapping glitches.
+    await llm.push_frame(TextFrame("Let me check on that."))
-    # possible question for Aleix and Chad about what the right way
-    # to trigger speech is, now, with the new queues/async/sync refactors.
-    # await llm.push_frame(TextFrame("Let me check on that."))
     logger.debug(f"Starting fetch_weather_from_api with function_name: {function_name}")
 
 

examples/foundational/14j-function-calling-nim.py

@@ -15,6 +15,7 @@ from openai.types.chat import ChatCompletionToolParam
 from runner import configure
 
 from pipecat.audio.vad.silero import SileroVADAnalyzer
+from pipecat.frames.frames import TextFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
@@ -30,11 +31,8 @@ logger.add(sys.stderr, level="DEBUG")
 
 
 async def start_fetch_weather(function_name, llm, context):
-    # note: we can't push a frame to the LLM here. the bot
+    """Push a frame to the LLM; this is handy when the LLM response might take a while."""
-    # can interrupt itself and/or cause audio overlapping glitches.
+    await llm.push_frame(TextFrame("Let me check on that."))
-    # possible question for Aleix and Chad about what the right way
-    # to trigger speech is, now, with the new queues/async/sync refactors.
-    # await llm.push_frame(TextFrame("Let me check on that."))
     logger.debug(f"Starting fetch_weather_from_api with function_name: {function_name}")
 
 

examples/foundational/14k-function-calling-cerebras.py

@@ -15,6 +15,7 @@ from openai.types.chat import ChatCompletionToolParam
 from runner import configure
 
 from pipecat.audio.vad.silero import SileroVADAnalyzer
+from pipecat.frames.frames import TextFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
@@ -30,11 +31,8 @@ logger.add(sys.stderr, level="DEBUG")
 
 
 async def start_fetch_weather(function_name, llm, context):
-    # note: we can't push a frame to the LLM here. the bot
+    """Push a frame to the LLM; this is handy when the LLM response might take a while."""
-    # can interrupt itself and/or cause audio overlapping glitches.
+    await llm.push_frame(TextFrame("Let me check on that."))
-    # possible question for Aleix and Chad about what the right way
-    # to trigger speech is, now, with the new queues/async/sync refactors.
-    # await llm.push_frame(TextFrame("Let me check on that."))
     logger.debug(f"Starting fetch_weather_from_api with function_name: {function_name}")
 
 

examples/foundational/14l-function-calling-deepseek.py

@@ -15,6 +15,7 @@ from openai.types.chat import ChatCompletionToolParam
 from runner import configure
 
 from pipecat.audio.vad.silero import SileroVADAnalyzer
+from pipecat.frames.frames import TextFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
@@ -30,11 +31,8 @@ logger.add(sys.stderr, level="DEBUG")
 
 
 async def start_fetch_weather(function_name, llm, context):
-    # note: we can't push a frame to the LLM here. the bot
+    """Push a frame to the LLM; this is handy when the LLM response might take a while."""
-    # can interrupt itself and/or cause audio overlapping glitches.
+    await llm.push_frame(TextFrame("Let me check on that."))
-    # possible question for Aleix and Chad about what the right way
-    # to trigger speech is, now, with the new queues/async/sync refactors.
-    # await llm.push_frame(TextFrame("Let me check on that."))
     logger.debug(f"Starting fetch_weather_from_api with function_name: {function_name}")
 
 

examples/foundational/14m-function-calling-openrouter.py

@@ -15,6 +15,7 @@ from openai.types.chat import ChatCompletionToolParam
 from runner import configure
 
 from pipecat.audio.vad.silero import SileroVADAnalyzer
+from pipecat.frames.frames import TextFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
@@ -30,11 +31,8 @@ logger.add(sys.stderr, level="DEBUG")
 
 
 async def start_fetch_weather(function_name, llm, context):
-    # note: we can't push a frame to the LLM here. the bot
+    """Push a frame to the LLM; this is handy when the LLM response might take a while."""
-    # can interrupt itself and/or cause audio overlapping glitches.
+    await llm.push_frame(TextFrame("Let me check on that."))
-    # possible question for Aleix and Chad about what the right way
-    # to trigger speech is, now, with the new queues/async/sync refactors.
-    # await llm.push_frame(TextFrame("Let me check on that."))
     logger.debug(f"Starting fetch_weather_from_api with function_name: {function_name}")