@tool decorator, then hand them to an agent.
Install
Define the tools
Run an agent
create_inbox then send_email on its own. Add reply and check_inbox
tools to build a full back-and-forth agent.
Documentation Index
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
Give a LangChain agent email tools backed by SentFromAI.
@tool decorator, then hand them to an agent.
pip install langchain langchain-openai langgraph requests
import os, requests
from langchain_core.tools import tool
API = "https://api.sentfrom.ai/v1"
H = {"Authorization": f"Bearer {os.environ['SENTFROMAI_API_KEY']}"}
@tool
def create_inbox(local_part: str) -> dict:
"""Create a new email inbox. Returns its id and address."""
return requests.post(f"{API}/inboxes", headers=H, json={"local_part": local_part}).json()
@tool
def send_email(inbox_id: str, to: str, subject: str, body: str) -> dict:
"""Send an email from an inbox to a recipient."""
return requests.post(f"{API}/messages", headers=H,
json={"inbox_id": inbox_id, "to": [to], "subject": subject, "text": body}).json()
@tool
def check_inbox(inbox_id: str) -> list:
"""List the most recent messages in an inbox."""
return requests.get(f"{API}/messages", headers=H,
params={"inbox_id": inbox_id, "limit": 10}).json()["messages"]
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
agent = create_react_agent(ChatOpenAI(model="gpt-4o"), [create_inbox, send_email, check_inbox])
result = agent.invoke({"messages": [
("user", "Create an inbox called concierge and email jane@acme.com a welcome note.")
]})
print(result["messages"][-1].content)
create_inbox then send_email on its own. Add reply and check_inbox
tools to build a full back-and-forth agent.
