Update InputAudioTranscription to use gpt-4o-transcribe model, update 19 examples to use FunctionSchema

CHANGELOG.md

@@ -11,6 +11,16 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 - Added `default_headers` parameter to `BaseOpenAILLMService` constructor.
 
+### Changed
+
+- Changed the default `InputAudioTranscription` model to `gpt-4o-transcribe`
+  for `OpenAIRealtimeBetaLLMService`.
+
+### Other
+
+- Update the `19-openai-realtime-beta.py` and `19a-azure-realtime-beta.py`
+  examples to use the FunctionSchema format.
+
 ## [0.0.59] - 2025-03-20
 
 ### Added

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

@@ -14,6 +14,8 @@ from dotenv import load_dotenv
 from loguru import logger
 from runner import configure
 
+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.audio.vad.vad_analyzer import VADParams
 from pipecat.pipeline.pipeline import Pipeline
@@ -46,28 +48,25 @@ async def fetch_weather_from_api(function_name, tool_call_id, args, llm, context
     )
 
 
-tools = [
+weather_function = FunctionSchema(
-    {
+    name="get_current_weather",
-        "type": "function",
+    description="Get the current weather",
-        "name": "get_current_weather",
+    properties={
-        "description": "Get the current weather",
+        "location": {
-        "parameters": {
+            "type": "string",
-            "type": "object",
+            "description": "The city and state, e.g. San Francisco, CA",
-            "properties": {
-                "location": {
-                    "type": "string",
-                    "description": "The city and state, e.g. San Francisco, CA",
-                },
-                "format": {
-                    "type": "string",
-                    "enum": ["celsius", "fahrenheit"],
-                    "description": "The temperature unit to use. Infer this from the users location.",
-                },
-            },
-            "required": ["location", "format"],
         },
-    }
+        "format": {
-]
+            "type": "string",
+            "enum": ["celsius", "fahrenheit"],
+            "description": "The temperature unit to use. Infer this from the users location.",
+        },
+    },
+    required=["location", "format"],
+)
+
+# Create tools schema
+tools = ToolsSchema(standard_tools=[weather_function])
 
 
 async def main():

examples/foundational/19a-azure-realtime-beta.py

@@ -10,11 +10,12 @@ import sys
 from datetime import datetime
 
 import aiohttp
-import websockets
 from dotenv import load_dotenv
 from loguru import logger
 from runner import configure
 
+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.audio.vad.vad_analyzer import VADParams
 from pipecat.pipeline.pipeline import Pipeline
@@ -47,28 +48,26 @@ async def fetch_weather_from_api(function_name, tool_call_id, args, llm, context
     )
 
 
-tools = [
+# Define weather function using standardized schema
-    {
+weather_function = FunctionSchema(
-        "type": "function",
+    name="get_current_weather",
-        "name": "get_current_weather",
+    description="Get the current weather",
-        "description": "Get the current weather",
+    properties={
-        "parameters": {
+        "location": {
-            "type": "object",
+            "type": "string",
-            "properties": {
+            "description": "The city and state, e.g. San Francisco, CA",
-                "location": {
-                    "type": "string",
-                    "description": "The city and state, e.g. San Francisco, CA",
-                },
-                "format": {
-                    "type": "string",
-                    "enum": ["celsius", "fahrenheit"],
-                    "description": "The temperature unit to use. Infer this from the users location.",
-                },
-            },
-            "required": ["location", "format"],
         },
-    }
+        "format": {
-]
+            "type": "string",
+            "enum": ["celsius", "fahrenheit"],
+            "description": "The temperature unit to use. Infer this from the users location.",
+        },
+    },
+    required=["location", "format"],
+)
+
+# Create tools schema
+tools = ToolsSchema(standard_tools=[weather_function])
 
 
 async def main():

src/pipecat/services/openai_realtime_beta/events.py

@@ -14,17 +14,24 @@ from pydantic import BaseModel, Field
 #
 # session properties
 #
-InputAudioTranscriptionModel = Literal["whisper-1", "gpt-4o-transcribe"]
 
 
 class InputAudioTranscription(BaseModel):
-    model: InputAudioTranscriptionModel
+    """Configuration for audio transcription settings.
+
+    Attributes:
+        model: Transcription model to use (e.g., "gpt-4o-transcribe", "whisper-1").
+        language: Optional language code for transcription.
+        prompt: Optional transcription hint text.
+    """
+
+    model: str = "gpt-4o-transcribe"
     language: Optional[str]
     prompt: Optional[str]
 
     def __init__(
         self,
-        model: Optional[InputAudioTranscriptionModel] = "whisper-1",
+        model: Optional[str] = "gpt-4o-transcribe",
         language: Optional[str] = None,
         prompt: Optional[str] = None,
     ):