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本笔记本展示了如何使用 Infobip API 包装器来发送短信、电子邮件。 Infobip 提供多种服务，但本笔记本将专注于短信和电子邮件服务。更多信息，请参阅 API 和其他渠道。

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设置

要使用此工具，您需要拥有一个 Infobip 账户。您可以创建 免费试用账户。 InfobipAPIWrapper 使用命名参数，您可以在其中提供凭据：
  • infobip_api_key - API 密钥，您可以在您的 开发者工具 中找到它
  • infobip_base_url - Infobip API 的 基础 URL。您可以使用默认值 https://api.infobip.com/。
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。

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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",
)

​
发送邮件

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",
)

​
如何在 Agent 内部使用它

from langchain_classic import hub
from langchain.agents import AgentExecutor, create_openai_functions_agent
from langchain_community.utilities.infobip import InfobipAPIWrapper
from langchain.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"
    }
)

> Entering new AgentExecutor chain...

Invoking: `infobip_email` with `{'body': 'Hi,\n\nHere is a simple example of a recursive function in Python:\n\n```\ndef factorial(n):\n    if n == 1:\n        return 1\n    else:\n        return n * factorial(n-1)\n```\n\nThis function calculates the factorial of a number. The factorial of a number is the product of all positive integers less than or equal to that number. The function calls itself with a smaller argument until it reaches the base case where n equals 1.\n\nBest,\nCoding Teacher', 'to': 'email@example.com', 'sender': 'validemail@example.com', 'subject': 'Python Recursion Example', 'channel': 'email'}`


I have sent an example of Python recursion to your email. Please check your inbox.

> Finished chain.
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