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Refactoring the 14 series examples to use the unified format for function calling.

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This commit is contained in:
Filipi Fuchter
2025-03-06 10:35:26 -03:00
parent 2d114b15f9
commit 2df77430aa
15 changed files with 295 additions and 385 deletions
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43
examples/foundational/14-function-calling.py
View File

@@ -11,7 +11,8 @@ import sys
import aiohttp
from dotenv import load_dotenv
from loguru import logger
from openai.types.chat import ChatCompletionToolParam
from pipecat.adapters.schemas.function_schema import FunctionSchema
from pipecat.adapters.schemas.tools_schema import ToolsSchema
from runner import configure
from pipecat.audio.vad.silero import SileroVADAnalyzer
@@ -65,30 +66,24 @@ async def main():
# sent to the same callback with an additional function_name parameter.
llm.register_function(None, fetch_weather_from_api, start_callback=start_fetch_weather)
tools = [
ChatCompletionToolParam(
type="function",
function={
"name": "get_current_weather",
"description": "Get the current weather",
"parameters": {
"type": "object",
"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"],
},
weather_function = FunctionSchema(
name="get_current_weather",
description="Get the current weather",
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 user's location.",
},
},
required=["location", "format"],
)
tools = ToolsSchema(standard_tools=[weather_function])
messages = [
{
"role": "system",

29
examples/foundational/14a-function-calling-anthropic.py
View File

@@ -11,6 +11,9 @@ import sys
import aiohttp
from dotenv import load_dotenv
from loguru import logger
from pipecat.adapters.schemas.function_schema import FunctionSchema
from pipecat.adapters.schemas.tools_schema import ToolsSchema
from runner import configure
from pipecat.audio.vad.silero import SileroVADAnalyzer
@@ -59,22 +62,18 @@ async def main():
)
llm.register_function("get_weather", get_weather)
tools = [
{
"name": "get_weather",
"description": "Get the current weather in a given location",
"input_schema": {
"type": "object",
"properties": {
"location": {
"type": "string",
"description": "The city and state, e.g. San Francisco, CA",
}
},
"required": ["location"],
weather_function = FunctionSchema(
name="get_weather",
description="Get the current weather",
properties={
"location": {
"type": "string",
"description": "The city and state, e.g. San Francisco, CA",
},
}
]
},
required=["location"],
)
tools = ToolsSchema(standard_tools=[weather_function])
# todo: test with very short initial user message

50
examples/foundational/14b-function-calling-anthropic-video.py
View File

@@ -11,6 +11,9 @@ import sys
import aiohttp
from dotenv import load_dotenv
from loguru import logger
from pipecat.adapters.schemas.function_schema import FunctionSchema
from pipecat.adapters.schemas.tools_schema import ToolsSchema
from runner import configure
from pipecat.audio.vad.silero import SileroVADAnalyzer
@@ -72,36 +75,29 @@ async def main():
llm.register_function("get_weather", get_weather)
llm.register_function("get_image", get_image)
tools = [
{
"name": "get_weather",
"description": "Get the current weather in a given location",
"input_schema": {
"type": "object",
"properties": {
"location": {
"type": "string",
"description": "The city and state, e.g. San Francisco, CA",
}
},
"required": ["location"],
weather_function = FunctionSchema(
name="get_weather",
description="Get the current weather",
properties={
"location": {
"type": "string",
"description": "The city and state, e.g. San Francisco, CA",
},
},
{
"name": "get_image",
"description": "Get an image from the video stream.",
"input_schema": {
"type": "object",
"properties": {
"question": {
"type": "string",
"description": "The question that the user is asking about the image.",
}
},
"required": ["question"],
},
required=["location"],
)
get_image_function = FunctionSchema(
name="get_image",
description="Get an image from the video stream.",
properties= {
"question": {
"type": "string",
"description": "The question that the user is asking about the image.",
}
},
]
required=["question"],
)
tools = ToolsSchema(standard_tools=[weather_function, get_image_function])
# todo: test with very short initial user message

42
examples/foundational/14c-function-calling-together.py
View File

@@ -11,7 +11,8 @@ import sys
import aiohttp
from dotenv import load_dotenv
from loguru import logger
from openai.types.chat import ChatCompletionToolParam
from pipecat.adapters.schemas.function_schema import FunctionSchema
from pipecat.adapters.schemas.tools_schema import ToolsSchema
from runner import configure
from pipecat.audio.vad.silero import SileroVADAnalyzer
@@ -69,30 +70,23 @@ async def main():
# sent to the same callback with an additional function_name parameter.
llm.register_function(None, fetch_weather_from_api, start_callback=start_fetch_weather)
tools = [
ChatCompletionToolParam(
type="function",
function={
"name": "get_current_weather",
"description": "Get the current weather",
"parameters": {
"type": "object",
"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"],
},
weather_function = FunctionSchema(
name="get_current_weather",
description="Get the current weather",
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 user's location.",
},
},
required=["location", "format"],
)
tools = ToolsSchema(standard_tools=[weather_function])
messages = [
{
"role": "system",

68
examples/foundational/14d-function-calling-video.py
View File

@@ -11,7 +11,8 @@ import sys
import aiohttp
from dotenv import load_dotenv
from loguru import logger
from openai.types.chat import ChatCompletionToolParam
from pipecat.adapters.schemas.function_schema import FunctionSchema
from pipecat.adapters.schemas.tools_schema import ToolsSchema
from runner import configure
from pipecat.audio.vad.silero import SileroVADAnalyzer
@@ -66,47 +67,34 @@ async def main():
llm.register_function("get_weather", get_weather)
llm.register_function("get_image", get_image)
tools = [
ChatCompletionToolParam(
type="function",
function={
"name": "get_weather",
"description": "Get the current weather",
"parameters": {
"type": "object",
"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"],
},
weather_function = FunctionSchema(
name="get_weather",
description="Get the current weather",
properties={
"location": {
"type": "string",
"description": "The city and state, e.g. San Francisco, CA",
},
),
ChatCompletionToolParam(
type="function",
function={
"name": "get_image",
"description": "Get an image from the video stream.",
"parameters": {
"type": "object",
"properties": {
"question": {
"type": "string",
"description": "The question to ask the AI to generate an image of",
},
},
"required": ["question"],
},
"format": {
"type": "string",
"enum": ["celsius", "fahrenheit"],
"description": "The temperature unit to use. Infer this from the user's location.",
},
),
]
},
required=["location"],
)
get_image_function = FunctionSchema(
name="get_image",
description="Get an image from the video stream.",
properties={
"question": {
"type": "string",
"description": "The question that the user is asking about the image.",
}
},
required=["question"],
)
tools = ToolsSchema(standard_tools=[weather_function, get_image_function])
system_prompt = """\
You are a helpful assistant who converses with a user and answers questions. Respond concisely to general questions.

70
examples/foundational/14e-function-calling-gemini.py
View File

@@ -11,6 +11,9 @@ import sys
import aiohttp
from dotenv import load_dotenv
from loguru import logger
from pipecat.adapters.schemas.function_schema import FunctionSchema
from pipecat.adapters.schemas.tools_schema import ToolsSchema
from runner import configure
from pipecat.audio.vad.silero import SileroVADAnalyzer
@@ -73,45 +76,34 @@ async def main():
llm.register_function("get_weather", get_weather, start_fetch_weather)
llm.register_function("get_image", get_image)
tools = [
{
"function_declarations": [
{
"name": "get_weather",
"description": "Get the current weather",
"parameters": {
"type": "object",
"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"],
},
},
{
"name": "get_image",
"description": "Get and image from the camera or video stream.",
"parameters": {
"type": "object",
"properties": {
"question": {
"type": "string",
"description": "The question to to use when running inference on the acquired image.",
},
},
"required": ["question"],
},
},
]
}
]
weather_function = FunctionSchema(
name="get_weather",
description="Get the current weather",
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 user's location.",
},
},
required=["location", "format"],
)
get_image_function = FunctionSchema(
name="get_image",
description="Get an image from the video stream.",
properties={
"question": {
"type": "string",
"description": "The question that the user is asking about the image.",
}
},
required=["question"],
)
tools = ToolsSchema(standard_tools=[weather_function, get_image_function])
system_prompt = """\
You are a helpful assistant who converses with a user and answers questions. Respond concisely to general questions.

42
examples/foundational/14f-function-calling-groq.py
View File

@@ -11,7 +11,8 @@ import sys
import aiohttp
from dotenv import load_dotenv
from loguru import logger
from openai.types.chat import ChatCompletionToolParam
from pipecat.adapters.schemas.function_schema import FunctionSchema
from pipecat.adapters.schemas.tools_schema import ToolsSchema
from runner import configure
from pipecat.audio.vad.silero import SileroVADAnalyzer
@@ -68,30 +69,23 @@ async def main():
# sent to the same callback with an additional function_name parameter.
llm.register_function(None, fetch_weather_from_api, start_callback=start_fetch_weather)
tools = [
ChatCompletionToolParam(
type="function",
function={
"name": "get_current_weather",
"description": "Get the current weather",
"parameters": {
"type": "object",
"properties": {
"location": {
"type": "string",
"description": "The city and state, e.g. San Francisco, CA",
},
"unit": {
"type": "string",
"enum": ["celsius", "fahrenheit"],
"description": "The temperature unit to use. Infer this from the users location.",
},
},
"required": ["location"],
},
weather_function = FunctionSchema(
name="get_current_weather",
description="Get the current weather",
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 user's location.",
},
},
required=["location"],
)
tools = ToolsSchema(standard_tools=[weather_function])
messages = [
{
"role": "system",

42
examples/foundational/14g-function-calling-grok.py
View File

@@ -11,7 +11,8 @@ import sys
import aiohttp
from dotenv import load_dotenv
from loguru import logger
from openai.types.chat import ChatCompletionToolParam
from pipecat.adapters.schemas.function_schema import FunctionSchema
from pipecat.adapters.schemas.tools_schema import ToolsSchema
from runner import configure
from pipecat.audio.vad.silero import SileroVADAnalyzer
@@ -66,30 +67,23 @@ async def main():
# sent to the same callback with an additional function_name parameter.
llm.register_function(None, fetch_weather_from_api, start_callback=start_fetch_weather)
tools = [
ChatCompletionToolParam(
type="function",
function={
"name": "get_current_weather",
"description": "Get the current weather",
"parameters": {
"type": "object",
"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"],
},
weather_function = FunctionSchema(
name="get_current_weather",
description="Get the current weather",
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 user's location.",
},
},
required=["location", "format"],
)
tools = ToolsSchema(standard_tools=[weather_function])
messages = [
{
"role": "system",

42
examples/foundational/14h-function-calling-azure.py
View File

@@ -11,7 +11,8 @@ import sys
import aiohttp
from dotenv import load_dotenv
from loguru import logger
from openai.types.chat import ChatCompletionToolParam
from pipecat.adapters.schemas.function_schema import FunctionSchema
from pipecat.adapters.schemas.tools_schema import ToolsSchema
from runner import configure
from pipecat.audio.vad.silero import SileroVADAnalyzer
@@ -70,30 +71,23 @@ async def main():
# sent to the same callback with an additional function_name parameter.
llm.register_function(None, fetch_weather_from_api, start_callback=start_fetch_weather)
tools = [
ChatCompletionToolParam(
type="function",
function={
"name": "get_current_weather",
"description": "Get the current weather",
"parameters": {
"type": "object",
"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"],
},
weather_function = FunctionSchema(
name="get_current_weather",
description="Get the current weather",
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 user's location.",
},
},
required=["location", "format"],
)
tools = ToolsSchema(standard_tools=[weather_function])
messages = [
{
"role": "system",

42
examples/foundational/14i-function-calling-fireworks.py
View File

@@ -11,7 +11,8 @@ import sys
import aiohttp
from dotenv import load_dotenv
from loguru import logger
from openai.types.chat import ChatCompletionToolParam
from pipecat.adapters.schemas.function_schema import FunctionSchema
from pipecat.adapters.schemas.tools_schema import ToolsSchema
from runner import configure
from pipecat.audio.vad.silero import SileroVADAnalyzer
@@ -69,30 +70,23 @@ async def main():
# sent to the same callback with an additional function_name parameter.
llm.register_function(None, fetch_weather_from_api, start_callback=start_fetch_weather)
tools = [
ChatCompletionToolParam(
type="function",
function={
"name": "get_current_weather",
"description": "Get the current weather",
"parameters": {
"type": "object",
"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"],
},
weather_function = FunctionSchema(
name="get_current_weather",
description="Get the current weather",
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 user's location.",
},
},
required=["location", "format"],
)
tools = ToolsSchema(standard_tools=[weather_function])
messages = [
{
"role": "system",

42
examples/foundational/14j-function-calling-nim.py
View File

@@ -11,7 +11,8 @@ import sys
import aiohttp
from dotenv import load_dotenv
from loguru import logger
from openai.types.chat import ChatCompletionToolParam
from pipecat.adapters.schemas.function_schema import FunctionSchema
from pipecat.adapters.schemas.tools_schema import ToolsSchema
from runner import configure
from pipecat.audio.vad.silero import SileroVADAnalyzer
@@ -69,30 +70,23 @@ async def main():
# sent to the same callback with an additional function_name parameter.
llm.register_function(None, fetch_weather_from_api, start_callback=start_fetch_weather)
tools = [
ChatCompletionToolParam(
type="function",
function={
"name": "get_current_weather",
"description": "Returns the current weather at a location, if one is specified, and defaults to the user's location.",
"parameters": {
"type": "object",
"properties": {
"location": {
"type": "string",
"description": "The location to find the weather of, or if not provided, it's the default location.",
},
"format": {
"type": "string",
"enum": ["celsius", "fahrenheit"],
"description": "Whether to use SI or USCS units (celsius or fahrenheit).",
},
},
"required": ["location", "format"],
},
weather_function = FunctionSchema(
name="get_current_weather",
description="Get the current weather",
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 user's location.",
},
},
required=["location", "format"],
)
tools = ToolsSchema(standard_tools=[weather_function])
messages = [
{
"role": "system",

42
examples/foundational/14k-function-calling-cerebras.py
View File

@@ -11,7 +11,8 @@ import sys
import aiohttp
from dotenv import load_dotenv
from loguru import logger
from openai.types.chat import ChatCompletionToolParam
from pipecat.adapters.schemas.function_schema import FunctionSchema
from pipecat.adapters.schemas.tools_schema import ToolsSchema
from runner import configure
from pipecat.audio.vad.silero import SileroVADAnalyzer
@@ -66,30 +67,23 @@ async def main():
# sent to the same callback with an additional function_name parameter.
llm.register_function(None, fetch_weather_from_api, start_callback=start_fetch_weather)
tools = [
ChatCompletionToolParam(
type="function",
function={
"name": "get_current_weather",
"description": "Get the current weather for a specific location. You MUST use this function whenever asked about weather.",
"parameters": {
"type": "object",
"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. Use fahrenheit for US locations, celsius for others.",
},
},
"required": ["location", "format"],
},
weather_function = FunctionSchema(
name="get_current_weather",
description="Get the current weather",
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 user's location.",
},
},
required=["location", "format"],
)
tools = ToolsSchema(standard_tools=[weather_function])
messages = [
{
"role": "system",

42
examples/foundational/14l-function-calling-deepseek.py
View File

@@ -11,7 +11,8 @@ import sys
import aiohttp
from dotenv import load_dotenv
from loguru import logger
from openai.types.chat import ChatCompletionToolParam
from pipecat.adapters.schemas.function_schema import FunctionSchema
from pipecat.adapters.schemas.tools_schema import ToolsSchema
from runner import configure
from pipecat.audio.vad.silero import SileroVADAnalyzer
@@ -66,30 +67,23 @@ async def main():
# sent to the same callback with an additional function_name parameter.
llm.register_function(None, fetch_weather_from_api, start_callback=start_fetch_weather)
tools = [
ChatCompletionToolParam(
type="function",
function={
"name": "get_current_weather",
"description": "Get the current weather for a specific location. You MUST use this function whenever asked about weather.",
"parameters": {
"type": "object",
"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. Use fahrenheit for US locations, celsius for others.",
},
},
"required": ["location", "format"],
},
weather_function = FunctionSchema(
name="get_current_weather",
description="Get the current weather",
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 user's location.",
},
},
required=["location", "format"],
)
tools = ToolsSchema(standard_tools=[weather_function])
messages = [
{
"role": "system",

42
examples/foundational/14m-function-calling-openrouter.py
View File

@@ -11,7 +11,8 @@ import sys
import aiohttp
from dotenv import load_dotenv
from loguru import logger
from openai.types.chat import ChatCompletionToolParam
from pipecat.adapters.schemas.function_schema import FunctionSchema
from pipecat.adapters.schemas.tools_schema import ToolsSchema
from runner import configure
from pipecat.audio.vad.silero import SileroVADAnalyzer
@@ -70,30 +71,23 @@ async def main():
# sent to the same callback with an additional function_name parameter.
llm.register_function(None, fetch_weather_from_api, start_callback=start_fetch_weather)
tools = [
ChatCompletionToolParam(
type="function",
function={
"name": "get_current_weather",
"description": "Get the current weather",
"parameters": {
"type": "object",
"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"],
},
weather_function = FunctionSchema(
name="get_current_weather",
description="Get the current weather",
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 user's location.",
},
},
required=["location", "format"],
)
tools = ToolsSchema(standard_tools=[weather_function])
messages = [
{
"role": "system",

42
examples/foundational/14o-function-calling-gemini-openai-format.py
View File

@@ -11,7 +11,8 @@ import sys
import aiohttp
from dotenv import load_dotenv
from loguru import logger
from openai.types.chat import ChatCompletionToolParam
from pipecat.adapters.schemas.function_schema import FunctionSchema
from pipecat.adapters.schemas.tools_schema import ToolsSchema
from runner import configure
from pipecat.audio.vad.silero import SileroVADAnalyzer
@@ -68,30 +69,23 @@ async def main():
"get_current_weather", fetch_weather_from_api, start_callback=start_fetch_weather
)
tools = [
ChatCompletionToolParam(
type="function",
function={
"name": "get_current_weather",
"description": "Get the current weather",
"parameters": {
"type": "object",
"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"],
},
weather_function = FunctionSchema(
name="get_current_weather",
description="Get the current weather",
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 user's location.",
},
},
required=["location", "format"],
)
tools = ToolsSchema(standard_tools=[weather_function])
messages = [
{
"role": "user",