@h; SSKJr SSKJr SSKJr SSKJr SSKJ r J r SSK J r SSK Jr SSKJr SS KJr SS \S \\ S \S\\S\ 4 Sjjrg ))Sequence)Optional)BaseLanguageModel)ChatPromptTemplate)RunnableRunnablePassthrough)BaseTool)convert_to_openai_toolformat_to_openai_tool_messages)OpenAIToolsAgentOutputParserNllmtoolspromptstrictreturnc 6S1RUR[UR5-5nU(aSU3n[ U5eUR UVs/sH n[ XcS9PM snS9n[R"SS9U-U-[5-$s snf)a Create an agent that uses OpenAI tools. Args: llm: LLM to use as the agent. tools: Tools this agent has access to. prompt: The prompt to use. See Prompt section below for more on the expected input variables. Returns: A Runnable sequence representing an agent. It takes as input all the same input variables as the prompt passed in does. It returns as output either an AgentAction or AgentFinish. Raises: ValueError: If the prompt is missing required variables. Example: .. code-block:: python from langchain import hub from langchain_community.chat_models import ChatOpenAI from langchain.agents import AgentExecutor, create_openai_tools_agent prompt = hub.pull("hwchase17/openai-tools-agent") model = ChatOpenAI() tools = ... agent = create_openai_tools_agent(model, tools, prompt) agent_executor = AgentExecutor(agent=agent, tools=tools) agent_executor.invoke({"input": "hi"}) # Using with chat history from langchain_core.messages import AIMessage, HumanMessage agent_executor.invoke( { "input": "what's my name?", "chat_history": [ HumanMessage(content="hi! my name is bob"), AIMessage(content="Hello Bob! How can I assist you today?"), ], } ) Prompt: The agent prompt must have an `agent_scratchpad` key that is a ``MessagesPlaceholder``. Intermediate agent actions and tool output messages will be passed in here. Here's an example: .. code-block:: python from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder prompt = ChatPromptTemplate.from_messages( [ ("system", "You are a helpful assistant"), MessagesPlaceholder("chat_history", optional=True), ("human", "{input}"), MessagesPlaceholder("agent_scratchpad"), ] ) agent_scratchpadz#Prompt missing required variables: )r)rc[US5$)Nintermediate_stepsr )xs Z/var/www/html/shao/venv/lib/python3.13/site-packages/langchain/agents/openai_tools/base.py+create_openai_tools_agent..es'E&'()r) differenceinput_variableslistpartial_variables ValueErrorbindr rassignr )rrrr missing_varsmsgtoolllm_with_toolss rcreate_openai_tools_agentr'sP''22f&>&>!??L3L>BoXXGLMut%d:uMN ""       ' ( ) NsB)N)collections.abcrtypingrlangchain_core.language_modelsrlangchain_core.prompts.chatrlangchain_core.runnablesrrlangchain_core.toolsr %langchain_core.utils.function_callingr /langchain.agents.format_scratchpad.openai_toolsr ,langchain.agents.output_parsers.openai_toolsr boolr'rrr3sl$<:B)HV" \ \ H \ \ TN \  \r