mirror of
https://github.com/hwchase17/langchain
synced 2024-11-10 01:10:59 +00:00
ed58eeb9c5
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
81 lines
2.5 KiB
Python
81 lines
2.5 KiB
Python
import asyncio
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from typing import TYPE_CHECKING, Optional, Type
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from langchain_core.callbacks import (
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AsyncCallbackManagerForToolRun,
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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 CreateSessionSchema(BaseModel):
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"""Input for CreateSessionTool."""
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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. Note: accepts only secure \
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links having https://""",
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)
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class MultionCreateSession(BaseTool):
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"""Tool that creates a new Multion Browser Window with provided fields.
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Attributes:
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name: The name of the tool. Default: "create_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.
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"""
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name: str = "create_multion_session"
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description: str = """
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Create a new web browsing session based on a user's command or request. \
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The command should include the full info required for the session. \
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Also include an url (defaults to google.com if no better option) \
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to start the session. \
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Use this tool to create a new Browser Window with provided fields. \
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Always the first step to run any activities that can be done using browser.
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"""
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args_schema: Type[CreateSessionSchema] = CreateSessionSchema
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def _run(
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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[CallbackManagerForToolRun] = None,
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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 {
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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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