mirror of
https://github.com/hwchase17/langchain
synced 2024-11-10 01:10:59 +00:00
eb5e250188
- Any direct usage of ThreadPoolExecutor or asyncio.run_in_executor needs manual handling of context vars
75 lines
2.3 KiB
Python
75 lines
2.3 KiB
Python
from typing import TYPE_CHECKING, Optional, Type
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from langchain_core.callbacks import (
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CallbackManagerForToolRun,
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)
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from langchain_core.pydantic_v1 import BaseModel, Field
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from langchain_core.tools 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 UpdateSessionSchema(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,
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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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description="The query to run in multion agent.",
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)
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url: str = Field(
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"https://www.google.com/",
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description="""The Url to run the agent at. \
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Note: accepts only secure links having https://""",
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)
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class MultionUpdateSession(BaseTool):
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"""Tool that updates an existing Multion Browser Window with provided fields.
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Attributes:
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name: The name of the tool. Default: "update_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 = "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: sessionId must be received from previous Browser window creation."""
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args_schema: Type[UpdateSessionSchema] = UpdateSessionSchema
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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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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(
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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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except Exception as e:
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raise Exception(f"An error occurred: {e}")
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