> ## Documentation Index
> Fetch the complete documentation index at: https://langchain-5e9cc07a-preview-patchr-1773857969-df0cef9.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Infobip integration

> Integrate with the Infobip tool using LangChain Python.

This notebook that shows how to use [Infobip](https://www.infobip.com/) API wrapper to send SMS messages, emails.

Infobip provides many services, but this notebook will focus on SMS and Email services. For more information, see [API and other channels](https://www.infobip.com/docs/api).

## Setup

To use this tool you need to have an Infobip account. You can create [free trial account](https://www.infobip.com/docs/essentials/free-trial).

`InfobipAPIWrapper` uses name parameters where you can provide credentials:

* `infobip_api_key` - [API Key](https://www.infobip.com/docs/essentials/api-authentication#api-key-header) that you can find in your [developer tools](https://portal.infobip.com/dev/api-keys)
* `infobip_base_url` - [Base URL](https://www.infobip.com/docs/essentials/base-url) for Infobip API. You can use the default value `https://api.infobip.com/`.

You can also provide `infobip_api_key` and `infobip_base_url` as environment variables `INFOBIP_API_KEY` and `INFOBIP_BASE_URL`.

## Sending a SMS

```python theme={null}
from langchain_community.utilities.infobip import InfobipAPIWrapper

infobip: InfobipAPIWrapper = InfobipAPIWrapper()

infobip.run(
    to="41793026727",
    text="Hello, World!",
    sender="LangChain",
    channel="sms",
)
```

## Sending an email

```python theme={null}
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",
)
```

# How to use it inside an Agent

```python theme={null}
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"
    }
)
```

````bash theme={null}
> 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.
````

***

<div className="source-links">
  <Callout icon="edit">
    [Edit this page on GitHub](https://github.com/langchain-ai/docs/edit/main/src/oss/python/integrations/tools/infobip.mdx) or [file an issue](https://github.com/langchain-ai/docs/issues/new/choose).
  </Callout>

  <Callout icon="terminal-2">
    [Connect these docs](/use-these-docs) to Claude, VSCode, and more via MCP for real-time answers.
  </Callout>
</div>
