Source code for langchain_community.tools.multion.create_session
from typing import TYPE_CHECKING, Optional, Type
from langchain_core.callbacks import (
CallbackManagerForToolRun,
)
from langchain_core.pydantic_v1 import BaseModel, Field
from langchain_core.tools import BaseTool
if TYPE_CHECKING:
# This is for linting and IDE typehints
import multion
else:
try:
# We do this so pydantic can resolve the types when instantiating
import multion
except ImportError:
pass
[docs]class CreateSessionSchema(BaseModel):
"""Input for CreateSessionTool."""
query: str = Field(
...,
description="The query to run in multion agent.",
)
url: str = Field(
"https://www.google.com/",
description="""The Url to run the agent at. Note: accepts only secure \
links having https://""",
)
[docs]class MultionCreateSession(BaseTool):
"""Tool that creates a new Multion Browser Window with provided fields.
Attributes:
name: The name of the tool. Default: "create_multion_session"
description: The description of the tool.
args_schema: The schema for the tool's arguments.
"""
name: str = "create_multion_session"
description: str = """
Create a new web browsing session based on a user's command or request. \
The command should include the full info required for the session. \
Also include an url (defaults to google.com if no better option) \
to start the session. \
Use this tool to create a new Browser Window with provided fields. \
Always the first step to run any activities that can be done using browser.
"""
args_schema: Type[CreateSessionSchema] = CreateSessionSchema
def _run(
self,
query: str,
url: Optional[str] = "https://www.google.com/",
run_manager: Optional[CallbackManagerForToolRun] = None,
) -> dict:
try:
response = multion.new_session({"input": query, "url": url})
return {
"sessionId": response["session_id"],
"Response": response["message"],
}
except Exception as e:
raise Exception(f"An error occurred: {e}")