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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
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@ -5,6 +5,7 @@ from typing import List
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from langchain.agents.agent_toolkits.base import BaseToolkit
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from langchain.tools import BaseTool
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from langchain.tools.multion.close_session import MultionCloseSession
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from langchain.tools.multion.create_session import MultionCreateSession
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from langchain.tools.multion.update_session import MultionUpdateSession
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@ -29,4 +30,4 @@ class MultionToolkit(BaseToolkit):
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def get_tools(self) -> List[BaseTool]:
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"""Get the tools in the toolkit."""
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return [MultionCreateSession(), MultionUpdateSession()]
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return [MultionCreateSession(), MultionUpdateSession(), MultionCloseSession()]
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@ -1,6 +1,6 @@
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"""MutliOn Client API tools."""
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from langchain.tools.multion.close_session import MultionCloseSession
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from langchain.tools.multion.create_session import MultionCreateSession
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from langchain.tools.multion.update_session import MultionUpdateSession
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__all__ = ["MultionCreateSession", "MultionUpdateSession"]
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__all__ = ["MultionCreateSession", "MultionUpdateSession", "MultionCloseSession"]
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67
libs/langchain/langchain/tools/multion/close_session.py
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67
libs/langchain/langchain/tools/multion/close_session.py
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@ -0,0 +1,67 @@
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import asyncio
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from typing import TYPE_CHECKING, Optional, Type
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from langchain.callbacks.manager import (
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AsyncCallbackManagerForToolRun,
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CallbackManagerForToolRun,
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)
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from langchain.pydantic_v1 import BaseModel, Field
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from langchain.tools.base import BaseTool
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if TYPE_CHECKING:
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# This is for linting and IDE typehints
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import multion
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else:
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try:
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# We do this so pydantic can resolve the types when instantiating
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import multion
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except ImportError:
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pass
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class CloseSessionSchema(BaseModel):
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"""Input for UpdateSessionTool."""
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sessionId: str = Field(
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...,
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description="""The sessionId, received from one of the createSessions
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or updateSessions run before""",
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)
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class MultionCloseSession(BaseTool):
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"""Tool that closes an existing Multion Browser Window with provided fields.
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Attributes:
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name: The name of the tool. Default: "close_multion_session"
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description: The description of the tool.
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args_schema: The schema for the tool's arguments. Default: UpdateSessionSchema
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"""
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name: str = "close_multion_session"
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description: str = """Use this tool to close \
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an existing corresponding Multion Browser Window with provided fields. \
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Note: SessionId must be received from previous Browser window creation."""
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args_schema: Type[CloseSessionSchema] = CloseSessionSchema
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sessionId: str = ""
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def _run(
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self,
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sessionId: str,
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run_manager: Optional[CallbackManagerForToolRun] = None,
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) -> None:
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try:
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try:
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multion.close_session(sessionId)
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except Exception as e:
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print(f"{e}, retrying...")
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except Exception as e:
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raise Exception(f"An error occurred: {e}")
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async def _arun(
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self,
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sessionId: str,
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run_manager: Optional[AsyncCallbackManagerForToolRun] = None,
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) -> None:
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loop = asyncio.get_running_loop()
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await loop.run_in_executor(None, self._run, sessionId)
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@ -1,6 +1,10 @@
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import asyncio
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from typing import TYPE_CHECKING, Optional, Type
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from langchain.callbacks.manager import CallbackManagerForToolRun
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from langchain.callbacks.manager import (
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AsyncCallbackManagerForToolRun,
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CallbackManagerForToolRun,
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)
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from langchain.pydantic_v1 import BaseModel, Field
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from langchain.tools.base import BaseTool
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@ -57,6 +61,20 @@ class MultionCreateSession(BaseTool):
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) -> dict:
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try:
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response = multion.new_session({"input": query, "url": url})
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return {"tabId": response["tabId"], "Response": response["message"]}
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return {
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"sessionId": response["session_id"],
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"Response": response["message"],
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}
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except Exception as e:
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raise Exception(f"An error occurred: {e}")
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async def _arun(
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self,
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query: str,
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url: Optional[str] = "https://www.google.com/",
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run_manager: Optional[AsyncCallbackManagerForToolRun] = None,
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) -> dict:
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loop = asyncio.get_running_loop()
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result = await loop.run_in_executor(None, self._run, query, url)
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return result
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@ -1,6 +1,10 @@
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import asyncio
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from typing import TYPE_CHECKING, Optional, Type
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from langchain.callbacks.manager import CallbackManagerForToolRun
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from langchain.callbacks.manager import (
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AsyncCallbackManagerForToolRun,
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CallbackManagerForToolRun,
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)
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from langchain.pydantic_v1 import BaseModel, Field
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from langchain.tools.base import BaseTool
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@ -18,8 +22,10 @@ else:
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class UpdateSessionSchema(BaseModel):
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"""Input for UpdateSessionTool."""
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tabId: str = Field(
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..., description="The tabID, received from one of the createSessions run before"
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sessionId: str = Field(
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...,
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description="""The sessionID,
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received from one of the createSessions run before""",
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)
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query: str = Field(
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...,
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@ -44,28 +50,39 @@ class MultionUpdateSession(BaseTool):
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name: str = "update_multion_session"
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description: str = """Use this tool to update \
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an existing corresponding Multion Browser Window with provided fields. \
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Note: TabId must be received from previous Browser window creation."""
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Note: sessionId must be received from previous Browser window creation."""
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args_schema: Type[UpdateSessionSchema] = UpdateSessionSchema
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tabId: str = ""
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sessionId: str = ""
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def _run(
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self,
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tabId: str,
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sessionId: str,
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query: str,
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url: Optional[str] = "https://www.google.com/",
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run_manager: Optional[CallbackManagerForToolRun] = None,
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) -> dict:
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try:
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try:
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response = multion.update_session(tabId, {"input": query, "url": url})
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content = {"tabId": tabId, "Response": response["message"]}
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self.tabId = tabId
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response = multion.update_session(
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sessionId, {"input": query, "url": url}
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)
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content = {"sessionId": sessionId, "Response": response["message"]}
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self.sessionId = sessionId
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return content
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except Exception as e:
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print(f"{e}, retrying...")
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return {"error": f"{e}", "Response": "retrying..."}
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# response = multion.new_session({"input": query, "url": url})
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# self.tabID = response["tabId"]
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# return {"tabId": response["tabId"], "Response": response["message"]}
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except Exception as e:
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raise Exception(f"An error occurred: {e}")
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async def _arun(
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self,
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sessionId: str,
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query: str,
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url: Optional[str] = "https://www.google.com/",
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run_manager: Optional[AsyncCallbackManagerForToolRun] = None,
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) -> dict:
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loop = asyncio.get_running_loop()
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result = await loop.run_in_executor(None, self._run, sessionId, query, url)
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return result
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