Multi on client toolkit (#12392)

Replace this entire comment with:
-Add MultiOn close function and update key value and add async
functionality
- solved the key value TabId not found.. (updated to use latest key
value)
  
@hwchase17
pull/12367/head^2
Karthik Raja A 10 months ago committed by GitHub
parent b109cb031b
commit 342d6c7ab6
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23

@ -5,6 +5,7 @@ from typing import List
from langchain.agents.agent_toolkits.base import BaseToolkit
from langchain.tools import BaseTool
from langchain.tools.multion.close_session import MultionCloseSession
from langchain.tools.multion.create_session import MultionCreateSession
from langchain.tools.multion.update_session import MultionUpdateSession
@ -29,4 +30,4 @@ class MultionToolkit(BaseToolkit):
def get_tools(self) -> List[BaseTool]:
"""Get the tools in the toolkit."""
return [MultionCreateSession(), MultionUpdateSession()]
return [MultionCreateSession(), MultionUpdateSession(), MultionCloseSession()]

@ -1,6 +1,6 @@
"""MutliOn Client API tools."""
from langchain.tools.multion.close_session import MultionCloseSession
from langchain.tools.multion.create_session import MultionCreateSession
from langchain.tools.multion.update_session import MultionUpdateSession
__all__ = ["MultionCreateSession", "MultionUpdateSession"]
__all__ = ["MultionCreateSession", "MultionUpdateSession", "MultionCloseSession"]

@ -0,0 +1,67 @@
import asyncio
from typing import TYPE_CHECKING, Optional, Type
from langchain.callbacks.manager import (
AsyncCallbackManagerForToolRun,
CallbackManagerForToolRun,
)
from langchain.pydantic_v1 import BaseModel, Field
from langchain.tools.base 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
class CloseSessionSchema(BaseModel):
"""Input for UpdateSessionTool."""
sessionId: str = Field(
...,
description="""The sessionId, received from one of the createSessions
or updateSessions run before""",
)
class MultionCloseSession(BaseTool):
"""Tool that closes an existing Multion Browser Window with provided fields.
Attributes:
name: The name of the tool. Default: "close_multion_session"
description: The description of the tool.
args_schema: The schema for the tool's arguments. Default: UpdateSessionSchema
"""
name: str = "close_multion_session"
description: str = """Use this tool to close \
an existing corresponding Multion Browser Window with provided fields. \
Note: SessionId must be received from previous Browser window creation."""
args_schema: Type[CloseSessionSchema] = CloseSessionSchema
sessionId: str = ""
def _run(
self,
sessionId: str,
run_manager: Optional[CallbackManagerForToolRun] = None,
) -> None:
try:
try:
multion.close_session(sessionId)
except Exception as e:
print(f"{e}, retrying...")
except Exception as e:
raise Exception(f"An error occurred: {e}")
async def _arun(
self,
sessionId: str,
run_manager: Optional[AsyncCallbackManagerForToolRun] = None,
) -> None:
loop = asyncio.get_running_loop()
await loop.run_in_executor(None, self._run, sessionId)

@ -1,6 +1,10 @@
import asyncio
from typing import TYPE_CHECKING, Optional, Type
from langchain.callbacks.manager import CallbackManagerForToolRun
from langchain.callbacks.manager import (
AsyncCallbackManagerForToolRun,
CallbackManagerForToolRun,
)
from langchain.pydantic_v1 import BaseModel, Field
from langchain.tools.base import BaseTool
@ -57,6 +61,20 @@ class MultionCreateSession(BaseTool):
) -> dict:
try:
response = multion.new_session({"input": query, "url": url})
return {"tabId": response["tabId"], "Response": response["message"]}
return {
"sessionId": response["session_id"],
"Response": response["message"],
}
except Exception as e:
raise Exception(f"An error occurred: {e}")
async def _arun(
self,
query: str,
url: Optional[str] = "https://www.google.com/",
run_manager: Optional[AsyncCallbackManagerForToolRun] = None,
) -> dict:
loop = asyncio.get_running_loop()
result = await loop.run_in_executor(None, self._run, query, url)
return result

@ -1,6 +1,10 @@
import asyncio
from typing import TYPE_CHECKING, Optional, Type
from langchain.callbacks.manager import CallbackManagerForToolRun
from langchain.callbacks.manager import (
AsyncCallbackManagerForToolRun,
CallbackManagerForToolRun,
)
from langchain.pydantic_v1 import BaseModel, Field
from langchain.tools.base import BaseTool
@ -18,8 +22,10 @@ else:
class UpdateSessionSchema(BaseModel):
"""Input for UpdateSessionTool."""
tabId: str = Field(
..., description="The tabID, received from one of the createSessions run before"
sessionId: str = Field(
...,
description="""The sessionID,
received from one of the createSessions run before""",
)
query: str = Field(
...,
@ -44,28 +50,39 @@ class MultionUpdateSession(BaseTool):
name: str = "update_multion_session"
description: str = """Use this tool to update \
an existing corresponding Multion Browser Window with provided fields. \
Note: TabId must be received from previous Browser window creation."""
Note: sessionId must be received from previous Browser window creation."""
args_schema: Type[UpdateSessionSchema] = UpdateSessionSchema
tabId: str = ""
sessionId: str = ""
def _run(
self,
tabId: str,
sessionId: str,
query: str,
url: Optional[str] = "https://www.google.com/",
run_manager: Optional[CallbackManagerForToolRun] = None,
) -> dict:
try:
try:
response = multion.update_session(tabId, {"input": query, "url": url})
content = {"tabId": tabId, "Response": response["message"]}
self.tabId = tabId
response = multion.update_session(
sessionId, {"input": query, "url": url}
)
content = {"sessionId": sessionId, "Response": response["message"]}
self.sessionId = sessionId
return content
except Exception as e:
print(f"{e}, retrying...")
return {"error": f"{e}", "Response": "retrying..."}
# response = multion.new_session({"input": query, "url": url})
# self.tabID = response["tabId"]
# return {"tabId": response["tabId"], "Response": response["message"]}
except Exception as e:
raise Exception(f"An error occurred: {e}")
async def _arun(
self,
sessionId: str,
query: str,
url: Optional[str] = "https://www.google.com/",
run_manager: Optional[AsyncCallbackManagerForToolRun] = None,
) -> dict:
loop = asyncio.get_running_loop()
result = await loop.run_in_executor(None, self._run, sessionId, query, url)
return result

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