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

81 lines
2.5 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
import asyncio
from typing import TYPE_CHECKING, Optional, Type
from langchain_core.callbacks import (
AsyncCallbackManagerForToolRun,
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 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://""",
)
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}")
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