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langchain/libs/community/langchain_community/tools/multion/update_session.py

75 lines
2.3 KiB
Python

community[major], core[patch], langchain[patch], experimental[patch]: Create langchain-community (#14463) Moved the following modules to new package langchain-community in a backwards compatible fashion: ``` mv langchain/langchain/adapters community/langchain_community mv langchain/langchain/callbacks community/langchain_community/callbacks mv langchain/langchain/chat_loaders community/langchain_community mv langchain/langchain/chat_models community/langchain_community mv langchain/langchain/document_loaders community/langchain_community mv langchain/langchain/docstore community/langchain_community mv langchain/langchain/document_transformers community/langchain_community mv langchain/langchain/embeddings community/langchain_community mv langchain/langchain/graphs community/langchain_community mv langchain/langchain/llms community/langchain_community mv langchain/langchain/memory/chat_message_histories community/langchain_community mv langchain/langchain/retrievers community/langchain_community mv langchain/langchain/storage community/langchain_community mv langchain/langchain/tools community/langchain_community mv langchain/langchain/utilities community/langchain_community mv langchain/langchain/vectorstores community/langchain_community mv langchain/langchain/agents/agent_toolkits community/langchain_community mv langchain/langchain/cache.py community/langchain_community mv langchain/langchain/adapters community/langchain_community mv langchain/langchain/callbacks community/langchain_community/callbacks mv langchain/langchain/chat_loaders community/langchain_community mv langchain/langchain/chat_models community/langchain_community mv langchain/langchain/document_loaders community/langchain_community mv langchain/langchain/docstore community/langchain_community mv langchain/langchain/document_transformers community/langchain_community mv langchain/langchain/embeddings community/langchain_community mv langchain/langchain/graphs community/langchain_community mv langchain/langchain/llms community/langchain_community mv langchain/langchain/memory/chat_message_histories community/langchain_community mv langchain/langchain/retrievers community/langchain_community mv langchain/langchain/storage community/langchain_community mv langchain/langchain/tools community/langchain_community mv langchain/langchain/utilities community/langchain_community mv langchain/langchain/vectorstores community/langchain_community mv langchain/langchain/agents/agent_toolkits community/langchain_community mv langchain/langchain/cache.py community/langchain_community ``` Moved the following to core ``` mv langchain/langchain/utils/json_schema.py core/langchain_core/utils mv langchain/langchain/utils/html.py core/langchain_core/utils mv langchain/langchain/utils/strings.py core/langchain_core/utils cat langchain/langchain/utils/env.py >> core/langchain_core/utils/env.py rm langchain/langchain/utils/env.py ``` See .scripts/community_split/script_integrations.sh for all changes
9 months ago
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
class UpdateSessionSchema(BaseModel):
"""Input for UpdateSessionTool."""
sessionId: str = Field(
...,
description="""The sessionID,
received from one of the createSessions run before""",
)
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://""",
)
class MultionUpdateSession(BaseTool):
"""Tool that updates an existing Multion Browser Window with provided fields.
Attributes:
name: The name of the tool. Default: "update_multion_session"
description: The description of the tool.
args_schema: The schema for the tool's arguments. Default: UpdateSessionSchema
"""
name: str = "update_multion_session"
description: str = """Use this tool to update \
an existing corresponding Multion Browser Window with provided fields. \
Note: sessionId must be received from previous Browser window creation."""
args_schema: Type[UpdateSessionSchema] = UpdateSessionSchema
sessionId: str = ""
def _run(
self,
sessionId: str,
query: str,
url: Optional[str] = "https://www.google.com/",
run_manager: Optional[CallbackManagerForToolRun] = None,
) -> dict:
try:
try:
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..."}
except Exception as e:
raise Exception(f"An error occurred: {e}")