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Infobip

本笔记本展示了如何使用 Infobip API 包装器发送短信、电子邮件。

Infobip 提供多项服务，但本笔记本将重点关注短信和电子邮件服务。您可以在此处找到有关 API 和其他渠道的更多信息。

设置​

要使用此工具，您需要拥有一个 Infobip 账户。您可以创建一个免费试用账户。

InfobipAPIWrapper 使用命名参数，您可以在其中提供凭据：

您也可以将 infobip_api_key 和 infobip_base_url 作为环境变量 INFOBIP_API_KEY 和 INFOBIP_BASE_URL 提供。

发送短信​

from langchain_community.utilities.infobip import InfobipAPIWrapper

infobip: InfobipAPIWrapper = InfobipAPIWrapper()

infobip.run(
    to="41793026727",
    text="Hello, World!",
    sender="Langchain",
    channel="sms",
)
API Reference:InfobipAPIWrapper

发送电子邮件​

from langchain_community.utilities.infobip import InfobipAPIWrapper

infobip: InfobipAPIWrapper = InfobipAPIWrapper()

infobip.run(
    to="test@example.com",
    sender="test@example.com",
    subject="example",
    body="example",
    channel="email",
)
API Reference:InfobipAPIWrapper

如何在 Agent 中使用它

from langchain import hub
from langchain.agents import AgentExecutor, create_openai_functions_agent
from langchain_community.utilities.infobip import InfobipAPIWrapper
from langchain_core.tools import StructuredTool
from langchain_openai import ChatOpenAI
from pydantic import BaseModel, Field

instructions = "You are a coding teacher. You are teaching a student how to code. The student asks you a question. You answer the question."
base_prompt = hub.pull("langchain-ai/openai-functions-template")
prompt = base_prompt.partial(instructions=instructions)
llm = ChatOpenAI(temperature=0)


class EmailInput(BaseModel):
    body: str = Field(description="Email body text")
    to: str = Field(description="Email address to send to. Example: email@example.com")
    sender: str = Field(
        description="Email address to send from, must be 'validemail@example.com'"
    )
    subject: str = Field(description="Email subject")
    channel: str = Field(description="Email channel, must be 'email'")


infobip_api_wrapper: InfobipAPIWrapper = InfobipAPIWrapper()
infobip_tool = StructuredTool.from_function(
    name="infobip_email",
    description="Send Email via Infobip. If you need to send email, use infobip_email",
    func=infobip_api_wrapper.run,
    args_schema=EmailInput,
)
tools = [infobip_tool]

agent = create_openai_functions_agent(llm, tools, prompt)
agent_executor = AgentExecutor(
    agent=agent,
    tools=tools,
    verbose=True,
)

agent_executor.invoke(
    {
        "input": "Hi, can you please send me an example of Python recursion to my email email@example.com"
    }
)
> 正在进入新的 AgentExecutor 链...

正在调用: `infobip_email` 使用 `{'body': '你好，\n\n这是一个简单的 Python 递归函数示例：\n\n```\ndef factorial(n):\n    if n == 1:\n        return 1\n    else:\n        return n * factorial(n-1)\n```\n\n此函数用于计算数字的阶乘。数字的阶乘是所有小于等于该数的正整数的乘积。该函数使用较小的参数调用自身，直到达到 n 等于 1 的基本情况。\n\n祝好，\nCoding Teacher', 'to': 'email@example.com', 'sender': 'validemail@example.com', 'subject': 'Python 递归示例', 'channel': 'email'}`


我已将 Python 递归示例发送到您的邮箱。请查收您的收件箱。

> 已完成链。