AgentPhone 工具包

pip install -qU langchain-agentphone

import getpass
import os

if not os.environ.get("AGENTPHONE_API_KEY"):
    os.environ["AGENTPHONE_API_KEY"] = getpass.getpass("AgentPhone API key:\n")

from langchain_agentphone import AgentPhoneToolkit

# 所有工具
toolkit = AgentPhoneToolkit()
tools = toolkit.get_tools()

# 或选择特定工具
toolkit = AgentPhoneToolkit(selected_tools=["send_sms", "list_numbers", "make_call"])
tools = toolkit.get_tools()

from langchain_agentphone import AgentPhoneSendSMS, AgentPhoneListNumbers

send_sms = AgentPhoneSendSMS()
list_numbers = AgentPhoneListNumbers()

from langchain_agentphone import AgentPhoneSendSMS

tool = AgentPhoneSendSMS()
result = tool.invoke({
    "number_id": "num_abc123",
    "to_number": "+14155551234",
    "body": "Hello from LangChain!"
})
print(result)

model_generated_tool_call = {
    "args": {
        "number_id": "num_abc123",
        "to_number": "+14155551234",
        "body": "Meeting at 3pm confirmed."
    },
    "id": "1",
    "name": "agentphone_send_sms",
    "type": "tool_call",
}
tool_msg = tool.invoke(model_generated_tool_call)
print(tool_msg.content)

from langchain_agentphone import AgentPhoneToolkit
from langchain.chat_models import init_chat_model
from langgraph.prebuilt import create_react_agent

model = init_chat_model(model="claude-sonnet-4-6", model_provider="anthropic")

toolkit = AgentPhoneToolkit(
    selected_tools=["send_sms", "list_numbers", "list_contacts"]
)
agent = create_react_agent(model, toolkit.get_tools())

response = agent.invoke({
    "messages": [("user", "List my phone numbers, then send a message to +14155551234 saying 'Hello!'")]
})