函数调用（function calling）

目录

入门例子

openai调用function calling

LangChain调用function calling

OpenAI Assistant API支持function calling

LangChain Assistant API支持function calling

网页Assistant支持function calling

---

函数调用（Function Calling）是OpenAI在今年6月13日对外发布的新能力。根据OpenAI官方博客描述，函数调用能力可以让大模型输出一个请求调用函数的消息，其中包含所需调用的函数信息、以及调用函数时所携带的参数信息。这是一种将大模型（LLM）能力与外部工具/API连接起来的新方式。

比如用户输入:

What’s the weather like in Tokyo?

使用function calling，可实现函数执行get_current_weather(location: string)，从而获取函数输出，即得到对应地理位置的天气情况。这其中，location这个参数及其取值是借助大模型能力从用户输入中抽取出来的，同时，大模型判断得到调用的函数为get_current_weather。

开发人员可以使用大模型的function calling能力实现：

• ??在进行自然语言交流时，通过调用外部工具回答问题（类似于ChatGPT插件）；

• ??将自然语言转换为调用API调用，或数据库查询语句；

• ??从文本中抽取结构化数据

• ??其它

那么，在OpenAI发布的模型中，是如何实现function calling的呢？

本文中，使用的第三方模块信息如下：

openai==1.3.2
langchain==0.0.339

入门例子

我们以函数get_weather_info为例，其实现逻辑（模拟实现世界中的API调用，获取对应城市的天气状况）如下：

def?get_weather_info(city:?str):
????weather_info?=?{"Shanghai":?"Rainy",?"Beijing":?"Snow"}
????return?weather_info.get(city,?"Sunny")

该函数只有一个参数：字符串变量city，即城市名称。为了实现function calling功能，需配置函数描述（类似JSON化的API描述），代码如下：

functions?=?[
????{
????????"name":?"get_weather_info",
????????"description":?"Get?the?weather?information?of?a?city",
????????"parameters":?{
????????????"type":?"object",
????????????"properties":?{
????????????????"city":?{
????????????????????"type":?"string",
????????????????????"description":?"The?name?of?the?city,?e.g.?Shanghai",
????????????????},
????????????},
????????????"required":?["city"],
????????}
????}
]

对于一般的用户输入（query），大模型回复结果如下：

import?json
from?openai?import?OpenAI

client?=?OpenAI(api_key="sk-xxx")

query?=?"What?is?the?capital?of?france?"
response?=?client.chat.completions.create(
????????model="gpt-3.5-turbo-0613",
????????messages=[{"role":?"user",?"content":?query}],
????????functions=functions
????)
message?=?response.dict()["choices"][0]["message"]
print(message)

>>>?{'content':?'The?capital?of?France?is?Paris.',?'role':?'assistant',?'function_call':?None,?'tool_calls':?None}

此时function_call为None，即大模型判断不需要function calling.

对于查询天气的query，大模型输出结果如下：

import?json
from?openai?import?OpenAI

client?=?OpenAI(api_key="sk-xxx")

query?=?"What?is?the?weather?like?in?Beijing?"
response?=?client.chat.completions.create(
????????model="gpt-3.5-turbo-0613",
????????messages=[{"role":?"user",?"content":?query}],
????????functions=functions
????)
message?=?response.dict()["choices"][0]["message"]
print(message)

>>>?{'content':?None,?'role':?'assistant',?'function_call':?{'arguments':?'{\n??"city":?"Beijing"\n}',?'name':?'get_weather_info'},?'tool_calls':?None}

此时我们看到了令人吃惊的输出，大模型的输出内容为空，而判断需要function calling, 函数名称为get_weather_info，参数为{'arguments': '{\n "city": "Beijing"\n}。

下一步，我们可以调用该函数，传入参数，得到函数输出，并再次调用大模型得到答案回复。

func_name?=?message["function_call"]["name"]
func_args?=?json.loads(message["function_call"]["arguments"])
print("func?name?and?args:?",?func_name,?func_args)
func_response?=?get_weather_info(**func_args)

final_response?=?client.chat.completions.create(
????????????????model="gpt-3.5-turbo-0613",
????????????????messages=[
????????????????????{"role":?"user",?"content":?query},
????????????????????{"role":?"assistant",?"content":?None,?"function_call":?message["function_call"]},
????????????????????{
????????????????????????"role":?"function",
????????????????????????"name":?func_name,
????????????????????????"content":?func_response
????????????????????},
????????????????],
????????????)
print("answer:?",?final_response.dict()["choices"][0]["message"]["content"])

输出结果如下：

func?name?and?args:??get_weather_info?{'city':?'Beijing'}
answer:??The?weather?in?Beijing?is?currently?snowy.

以上仅是function calling的简单示例，采用一步一步的详细过程来演示大模型中function calling如何使用。

在实际场景中，我们还需要实现中间过程的函数执行过程。

以下将介绍在OpenAI, LangChain中如何实现function calling。后面我们将使用的3个函数（这些函数仅用于测试，实际场景中可替换为具体的工具或API）如下：

def?get_pizza_info(pizza_name:?str):
????#?get?pizza?info?by?pizza?name
????pizza_info?=?{
????????"name":?pizza_name,
????????"price":?"10.99"
????}
????return?json.dumps(pizza_info)


def?get_weather_info(city:?str):
????#?get?city?weather?info?with?mock?result
????weather_info?=?{"Shanghai":?"Rainy",?"Beijing":?"Snow"}
????return?weather_info.get(city,?"Sunny")


def?get_rectangle_area(width:?float,?length:?float):
????#?calculate?the?rectangle?with?given?width?and?length
????return?f"The?area?of?this?rectangle?is?{width?*?length}."

openai调用function calling

在OpenAI的官方模块openai中实现function calling的代码如下：

#?-*-?coding:?utf-8?-*-
from?openai?import?OpenAI
import?json

client?=?OpenAI(api_key="sk-xxx")


def?get_pizza_info(pizza_name:?str):
????pizza_info?=?{
????????"name":?pizza_name,
????????"price":?"10.99"
????}
????return?json.dumps(pizza_info)


def?get_weather_info(city:?str):
????weather_info?=?{"Shanghai":?"Rainy",?"Beijing":?"Snow"}
????return?weather_info.get(city,?"Sunny")


def?get_rectangle_area(width:?float,?length:?float):
????return?f"The?area?of?this?rectangle?is?{width?*?length}."


function_mapping?=?{"get_pizza_info":?get_pizza_info,
????????????????????"get_weather_info":?get_weather_info,
????????????????????"get_rectangle_area":?get_rectangle_area}


functions?=?[
????{
????????"name":?"get_pizza_info",
????????"description":?"Get?name?and?price?of?a?pizza?of?the?restaurant",
????????"parameters":?{
????????????"type":?"object",
????????????"properties":?{
????????????????"pizza_name":?{
????????????????????"type":?"string",
????????????????????"description":?"The?name?of?the?pizza,?e.g.?Salami",
????????????????},
????????????},
????????????"required":?["pizza_name"],
????????}
????},
????{
????????"name":?"get_weather_info",
????????"description":?"Get?the?weather?information?of?a?city",
????????"parameters":?{
????????????"type":?"object",
????????????"properties":?{
????????????????"city":?{
????????????????????"type":?"string",
????????????????????"description":?"The?name?of?the?city,?e.g.?Shanghai",
????????????????},
????????????},
????????????"required":?["city"],
????????}
????},
????{
????????"name":?"get_rectangle_area",
????????"description":?"Get?the?area?of?a?rectangle?with?given?width?and?length",
????????"parameters":?{
????????????"type":?"object",
????????????"properties":?{
????????????????"width":?{
????????????????????"type":?"number",
????????????????????"description":?"The?width?of?a?rectangle",
????????????????},
????????????????"length":?{
????????????????????"type":?"number",
????????????????????"description":?"The?length?of?a?rectangle",
????????????????}
????????????},
????????????"required":?["width",?"length"],
????????}
????}
]


def?chat(query):
????response?=?client.chat.completions.create(
????????model="gpt-3.5-turbo-0613",
????????messages=[{"role":?"user",?"content":?query}],
????????functions=functions
????)
????message?=?response.dict()["choices"][0]["message"]
????print('message:?',?message)

????function_call_info?=?message.get("function_call")
????if?not?function_call_info:
????????return?message
????else:
????????function_name?=?function_call_info["name"]
????????arg_name?=?json.loads(function_call_info["arguments"])
????????print(f"function?name?and?arg?name:?",?function_name,?arg_name)

????????if?function_name?in?function_mapping:
????????????function_response?=?function_mapping[function_name](**arg_name)

????????????final_response?=?client.chat.completions.create(
????????????????model="gpt-3.5-turbo-0613",
????????????????messages=[
????????????????????{"role":?"user",?"content":?query},
????????????????????{"role":?"assistant",?"content":?None,?"function_call":?function_call_info},
????????????????????{
????????????????????????"role":?"function",
????????????????????????"name":?function_name,
????????????????????????"content":?function_response
????????????????????},
????????????????],
????????????)
????????????return?final_response.dict()["choices"][0]["message"]
????????else:
????????????return?"wrong?function?name?with?function?call"


query1?=?"What?is?the?capital?of?france?"
print("answer:?",?chat(query1),?end="\n\n")

query2?=?"How?much?does?pizza?Domino?cost?"
print("answer:?",?chat(query2),?end="\n\n")

query3?=?"What?is?the?weather?like?in?Beijing?"
print("answer:?",?chat(query3),?end="\n\n")

query4?=?"calculate?the?rectangle?area?with?width?3?and?length?5."
print("answer:?",?chat(query4),?end="\n\n")

输出结果如下：

query:??What?is?the?capital?of?france?
message:??{'content':?'The?capital?of?France?is?Paris.',?'role':?'assistant',?'function_call':?None,?'tool_calls':?None}
answer:??{'content':?'The?capital?of?France?is?Paris.',?'role':?'assistant',?'function_call':?None,?'tool_calls':?None}

query:??How?much?does?pizza?Domino?cost?
message:??{'content':?None,?'role':?'assistant',?'function_call':?{'arguments':?'{\n??"pizza_name":?"Domino"\n}',?'name':?'get_pizza_info'},?'tool_calls':?None}
function?name?and?arg?name:??get_pizza_info?{'pizza_name':?'Domino'}
answer:??The?cost?of?a?Domino?pizza?is?$10.99.

query:??What?is?the?weather?like?in?Beijing?
message:??{'content':?None,?'role':?'assistant',?'function_call':?{'arguments':?'{\n??"city":?"Beijing"\n}',?'name':?'get_weather_info'},?'tool_calls':?None}
function?name?and?arg?name:??get_weather_info?{'city':?'Beijing'}
answer:??The?weather?in?Beijing?is?currently?experiencing?snow.

query:??calculate?the?rectangle?area?with?width?3?and?length?5.
message:??{'content':?None,?'role':?'assistant',?'function_call':?{'arguments':?'{\n??"width":?3,\n??"length":?5\n}',?'name':?'get_rectangle_area'},?'tool_calls':?None}
function?name?and?arg?name:??get_rectangle_area?{'width':?3,?'length':?5}
answer:??The?area?of?a?rectangle?can?be?calculated?by?multiplying?its?width?by?its?length.?In?this?case,?the?width?is?3?and?the?length?is?5.?Therefore,?the?area?of?the?rectangle?is?3?*?5?=?15?square?units.

LangChain调用function calling

在langchain中实现function calling的代码相对简洁写，function calling的结果在Message中的additional_kwargs变量中，实现代码如下：

#?-*-?coding:?utf-8?-*-
import?os
import?json
from?langchain.chat_models?import?ChatOpenAI
from?langchain.schema?import?HumanMessage,?AIMessage,?ChatMessage

os.environ["OPENAI_API_KEY"]?=?"sk-xxx"


def?get_pizza_info(pizza_name:?str):
????pizza_info?=?{
????????"name":?pizza_name,
????????"price":?"10.99"
????}
????return?json.dumps(pizza_info)


def?get_weather_info(city:?str):
????weather_info?=?{"Shanghai":?"Rainy",?"Beijing":?"Snow"}
????return?weather_info.get(city,?"Sunny")


def?get_rectangle_area(width:?float,?length:?float):
????return?f"The?area?of?this?rectangle?is?{width?*?length}."


function_mapping?=?{"get_pizza_info":?get_pizza_info,
????????????????????"get_weather_info":?get_weather_info,
????????????????????"get_rectangle_area":?get_rectangle_area}


functions?=?[
????{
????????"name":?"get_pizza_info",
????????"description":?"Get?name?and?price?of?a?pizza?of?the?restaurant",
????????"parameters":?{
????????????"type":?"object",
????????????"properties":?{
????????????????"pizza_name":?{
????????????????????"type":?"string",
????????????????????"description":?"The?name?of?the?pizza,?e.g.?Salami",
????????????????},
????????????},
????????????"required":?["pizza_name"],
????????}
????},
????{
????????"name":?"get_weather_info",
????????"description":?"Get?the?weather?information?of?a?city",
????????"parameters":?{
????????????"type":?"object",
????????????"properties":?{
????????????????"city":?{
????????????????????"type":?"string",
????????????????????"description":?"The?name?of?the?city,?e.g.?Shanghai",
????????????????},
????????????},
????????????"required":?["city"],
????????}
????},
????{
????????"name":?"get_rectangle_area",
????????"description":?"Get?the?area?of?a?rectangle?with?given?width?and?length",
????????"parameters":?{
????????????"type":?"object",
????????????"properties":?{
????????????????"width":?{
????????????????????"type":?"number",
????????????????????"description":?"The?width?of?a?rectangle",
????????????????},
????????????????"length":?{
????????????????????"type":?"number",
????????????????????"description":?"The?length?of?a?rectangle",
????????????????}
????????????},
????????????"required":?["width",?"length"],
????????}
????}
]


def?chat(query):
????llm?=?ChatOpenAI(model="gpt-3.5-turbo-0613")
????message?=?llm.predict_messages(
????????[HumanMessage(content=query)],?functions=functions
????)
????print('message:?',?message,?type(message))

????function_call_info?=?message.additional_kwargs.get("function_call",?None)
????if?not?function_call_info:
????????return?message
????else:
????????function_name?=?function_call_info["name"]
????????arg_name?=?json.loads(function_call_info["arguments"])
????????print(f"function?name?and?arg?name:?",?function_name,?arg_name)

????????if?function_name?in?function_mapping:
????????????function_response?=?function_mapping[function_name](**arg_name)

????????????final_response?=?llm.predict_messages(
????????????????[
????????????????????HumanMessage(content=query),
????????????????????AIMessage(content=str(message.additional_kwargs)),
????????????????????ChatMessage(
????????????????????????role="function",
????????????????????????additional_kwargs={
????????????????????????????"name":?function_name
????????????????????????},
????????????????????????content=function_response
????????????????????),
????????????????]
????????????)
????????????return?final_response.content
????????else:
????????????return?"wrong?function?name?with?function?call"


query1?=?"What?is?the?capital?of?Japan?"
print("answer:",?chat(query1),?end='\n\n')

query2?=?"How?much?does?pizza?Domino?cost?"
print("answer:",?chat(query2),?end='\n\n')

query3?=?"What?is?the?weather?like?in?Paris?"
print("answer:?",?chat(query3),?end="\n\n")

query4?=?"calculate?the?rectangle?area?with?width?3?and?length?10"
print("answer:?",?chat(query4),?end="\n\n")

OpenAI Assistant API支持function calling

Assistant API是OpenAI在今年OpenAI开发者大会中提出的创新功能。Assistants API允许用户在自己的应用程序中构建AI助手。助手有指令，可以利用模型、工具和知识来响应用户查询。Assistants API目前支持三种类型的工具：代码解释器（Code Interpreter）、检索（Retrieval）和函数调用（Function Calling）。

?

我们来看看，在openai中的Assistant API如何支持function calling。

import?time
import?json
from?openai?import?OpenAI


def?get_pizza_info(pizza_name:?str):
????pizza_info?=?{
????????"name":?pizza_name,
????????"price":?"10.99"
????}
????return?json.dumps(pizza_info)


def?get_weather_info(city:?str):
????weather_info?=?{"Shanghai":?"Rainy",?"Beijing":?"Snow"}
????return?weather_info.get(city,?"Sunny")


def?get_rectangle_area(width:?float,?length:?float):
????return?f"The?area?of?this?rectangle?is?{width?*?length}."


function_mapping?=?{"get_pizza_info":?get_pizza_info,
????????????????????"get_weather_info":?get_weather_info,
????????????????????"get_rectangle_area":?get_rectangle_area}


functions?=?[
????{
????????"name":?"get_pizza_info",
????????"description":?"Get?name?and?price?of?a?pizza?of?the?restaurant",
????????"parameters":?{
????????????"type":?"object",
????????????"properties":?{
????????????????"pizza_name":?{
????????????????????"type":?"string",
????????????????????"description":?"The?name?of?the?pizza,?e.g.?Salami",
????????????????},
????????????},
????????????"required":?["pizza_name"],
????????}
????},
????{
????????"name":?"get_weather_info",
????????"description":?"Get?the?weather?information?of?a?city",
????????"parameters":?{
????????????"type":?"object",
????????????"properties":?{
????????????????"city":?{
????????????????????"type":?"string",
????????????????????"description":?"The?name?of?the?city,?e.g.?Shanghai",
????????????????},
????????????},
????????????"required":?["city"],
????????}
????},
????{
????????"name":?"get_rectangle_area",
????????"description":?"Get?the?area?of?a?rectangle?with?given?width?and?length",
????????"parameters":?{
????????????"type":?"object",
????????????"properties":?{
????????????????"width":?{
????????????????????"type":?"number",
????????????????????"description":?"The?width?of?a?rectangle",
????????????????},
????????????????"length":?{
????????????????????"type":?"number",
????????????????????"description":?"The?length?of?a?rectangle",
????????????????}
????????????},
????????????"required":?["width",?"length"],
????????}
????}
]


client?=?OpenAI(api_key="sk-xxx")

assistant?=?client.beta.assistants.create(
????name="assistant?test",
????instructions="You?are?a?helpful?assistant,?ready?to?answer?user's?questions.",
????model="gpt-3.5-turbo-0613",
)
MATH_ASSISTANT_ID?=?assistant.id
print("assistant?id:?",?MATH_ASSISTANT_ID)

assistant?=?client.beta.assistants.update(
????MATH_ASSISTANT_ID,
????tools=[
????????{"type":?"function",?"function":?function}?for?function?in?functions
????],
)
print("assistant?id:?",?assistant.id)


def?submit_message(assistant_id,?thread,?user_message):
????client.beta.threads.messages.create(
????????thread_id=thread.id,?role="user",?content=user_message
????)
????return?client.beta.threads.runs.create(
????????thread_id=thread.id,
????????assistant_id=assistant_id,
????)


def?create_thread_and_run(user_input):
????thread?=?client.beta.threads.create()
????run?=?submit_message(MATH_ASSISTANT_ID,?thread,?user_input)
????return?thread,?run


def?wait_on_run(run,?thread):
????while?run.status?==?"queued"?or?run.status?==?"in_progress":
????????run?=?client.beta.threads.runs.retrieve(
????????????thread_id=thread.id,
????????????run_id=run.id,
????????)
????????time.sleep(0.5)
????return?run


def?get_response(thread):
????return?client.beta.threads.messages.list(thread_id=thread.id,?order="asc")


#?Pretty?printing?helper
def?pretty_print(messages):
????print("#?Messages")
????for?m?in?messages:
????????print(f"{m.role}:?{m.content[0].text.value}")
????print()


query?=?"How?much?does?pizza?Domino?cost?"

thread,?run?=?create_thread_and_run(query)
run?=?wait_on_run(run,?thread)

#?Extract?single?tool?call
tool_call?=?run.required_action.submit_tool_outputs.tool_calls[0]
name?=?tool_call.function.name
arguments?=?json.loads(tool_call.function.arguments)
my_response?=?function_mapping[name](**arguments)
print("function?response:?",?my_response)

#?use?function?response?for?rerun
final_run?=?client.beta.threads.runs.submit_tool_outputs(
????thread_id=thread.id,
????run_id=run.id,
????tool_outputs=[
????????{
????????????"tool_call_id":?tool_call.id,
????????????"output":?json.dumps(my_response),
????????}
????],
)

final_run?=?wait_on_run(final_run,?thread)
pretty_print(get_response(thread))

输出结果如下：

assistant?id:??asst_ElovRUJRLqBeYk2Gu2CUIiU9
assistant?id:??asst_ElovRUJRLqBeYk2Gu2CUIiU9
function?response:??{"name":?"Domino",?"price":?"10.99"}
#?Messages
user:?How?much?does?pizza?Domino?cost?
assistant:?The?pizza?Domino?from?the?restaurant?costs?$10.99.

LangChain Assistant API支持function calling

可以看到在openai模块中，在Assistant API中实现function calling，较为麻烦。而新版的langchain(0.0.339)中已经添加对Assistant API的支持，我们来看看在langchain中如何支持function calling。

实现代码如下：

#?-*-?coding:?utf-8?-*-
#?@place:?Pudong,?Shanghai?
#?@contact:?lianmingjie@shanda.com
#?@file:?assistant_api_with_functions.py
#?@time:?2023/11/23?11:00
import?os
import?json
from?langchain.agents.openai_assistant?import?OpenAIAssistantRunnable
from?langchain.schema.agent?import?AgentFinish
from?langchain.agents?import?Tool
from?langchain.tools?import?StructuredTool


os.environ["OPENAI_API_KEY"]?=?"sk-xxx"


def?get_pizza_info(pizza_name:?str):
????pizza_info?=?{
????????"name":?pizza_name,
????????"price":?"10.99"
????}
????return?json.dumps(pizza_info)


def?get_weather_info(city:?str):
????weather_info?=?{"Shanghai":?"Rainy",?"Beijing":?"Snow"}
????return?weather_info.get(city,?"Sunny")


def?get_rectangle_area(width:?float?=?1.0,?length:?float?=?1.0):
????return?f"The?area?of?this?rectangle?is?{width?*?length}."


function_mapping?=?{"get_pizza_info":?get_pizza_info,
????????????????????"get_weather_info":?get_weather_info,
????????????????????"get_rectangle_area":?get_rectangle_area}


functions?=?[
????{
????????"name":?"get_pizza_info",
????????"description":?"Get?name?and?price?of?a?pizza?of?the?restaurant",
????????"parameters":?{
????????????"type":?"object",
????????????"properties":?{
????????????????"pizza_name":?{
????????????????????"type":?"string",
????????????????????"description":?"The?name?of?the?pizza,?e.g.?Salami",
????????????????},
????????????},
????????????"required":?["pizza_name"],
????????}
????},
????{
????????"name":?"get_weather_info",
????????"description":?"Get?the?weather?information?of?a?city",
????????"parameters":?{
????????????"type":?"object",
????????????"properties":?{
????????????????"city":?{
????????????????????"type":?"string",
????????????????????"description":?"The?name?of?the?city,?e.g.?Shanghai",
????????????????},
????????????},
????????????"required":?["city"],
????????}
????},
????{
????????"name":?"get_rectangle_area",
????????"description":?"Get?the?area?of?a?rectangle?with?given?width?and?length",
????????"parameters":?{
????????????"type":?"object",
????????????"properties":?{
????????????????"width":?{
????????????????????"type":?"number",
????????????????????"description":?"The?width?of?a?rectangle",
????????????????},
????????????????"length":?{
????????????????????"type":?"number",
????????????????????"description":?"The?length?of?a?rectangle",
????????????????}
????????????},
????????????"required":?["width",?"length"],
????????}
????}
]

tools?=?[Tool(name=func["name"],
??????????????func=function_mapping[func["name"]],
??????????????description=func["description"])?for?func?in?functions[:-1]]

tools.append(StructuredTool.from_function(get_rectangle_area,?name="get_rectangle_area",?description="Get?the?area?of?a?rectangle?with?given?width?and?length"))

agent?=?OpenAIAssistantRunnable.create_assistant(
????name="langchain?assistant",
????instructions="You?are?a?helpful?assistant,?ready?to?answer?user's?questions.",
????tools=tools,
????model="gpt-3.5-turbo-0613",
????as_agent=True,
)


def?execute_agent(agent,?tools,?input):
????tool_map?=?{tool.name:?tool?for?tool?in?tools}
????response?=?agent.invoke(input)
????while?not?isinstance(response,?AgentFinish):
????????tool_outputs?=?[]
????????for?action?in?response:
????????????print(action.tool,?action.tool_input)
????????????tool_output?=?tool_map[action.tool].invoke(action.tool_input)
????????????print(action.tool,?action.tool_input,?tool_output,?end="\n\n")
????????????tool_outputs.append(
????????????????{"output":?tool_output,?"tool_call_id":?action.tool_call_id}
????????????)
????????response?=?agent.invoke(
????????????{
????????????????"tool_outputs":?tool_outputs,
????????????????"run_id":?action.run_id,
????????????????"thread_id":?action.thread_id,
????????????}
????????)

????return?response


query?=?"How?much?does?pizza?Domino?cost?"
query?=?"What?is?the?capital?of?france?"
query?=?"What?is?the?weather?like?in?Beijing?"
query?=?"calculate?the?rectangle?area?with?width?3?and?length?5."

response?=?execute_agent(agent,?tools,?{"content":?query})
print(response.return_values["output"])

注意，函数get_rectangle_area为多参数输入，因此需使用StructuredTool.

网页Assistant支持function calling

在OpenAI中的官网中，Assistant已经支持function calling.

?

?

?

?