LangChain Reference home pageLangChain ReferenceLangChain Reference
  • GitHub
  • Main Docs
Deep Agents
LangChain
LangGraph
Integrations
LangSmith
  • Overview
  • MCP Adapters
    • Overview
    • Agents
    • Callbacks
    • Chains
    • Chat models
    • Embeddings
    • Evaluation
    • Globals
    • Hub
    • Memory
    • Output parsers
    • Retrievers
    • Runnables
    • LangSmith
    • Storage
    Standard Tests
    Text Splitters
    ⌘I

    LangChain Assistant

    Ask a question to get started

    Enter to send•Shift+Enter new line

    Menu

    MCP Adapters
    OverviewAgentsCallbacksChainsChat modelsEmbeddingsEvaluationGlobalsHubMemoryOutput parsersRetrieversRunnablesLangSmithStorage
    Standard Tests
    Text Splitters
    Language
    Theme
    Pythonlangchain-classicagentsopenai_assistantbaseOpenAIAssistantRunnableacreate_assistant
    Method●Since v1.0

    acreate_assistant

    Async create an AsyncOpenAI Assistant and instantiate the Runnable.

    Copy
    acreate_assistant(
      cls,
      name: str,
      instructions: str,
      tools: Sequence[BaseTool | dict],
      model: str,
      *,
      async_client: openai.AsyncOpenAI | openai.AsyncAzureOpenAI | None = None,
      **kwargs: Any = {}
    ) -> OpenAIAssistantRunnable

    Parameters

    NameTypeDescription
    name*str

    Assistant name.

    instructions*str

    Assistant instructions.

    tools*Sequence[BaseTool | dict]

    Assistant tools. Can be passed in OpenAI format or as BaseTools.

    model*str

    Assistant model to use.

    async_clientopenai.AsyncOpenAI | openai.AsyncAzureOpenAI | None
    Default:None

    AsyncOpenAI client. Will create default async_client if not specified.

    **kwargsAny
    Default:{}

    Additional arguments.

    View source on GitHub