蘺hR ddlmZddlmZddlmZddlmZmZddl m Z ddl m Z ddl mZddlmZdd lmZd ed ee d ed efdZdS))Sequence)BaseLanguageModel)ChatPromptTemplate)RunnableRunnablePassthrough)BaseTool)format_log_to_messages)TEMPLATE_TOOL_RESPONSE)JSONAgentOutputParser)render_text_descriptionllmtoolspromptreturnchd|j}|rtd||t t |dd|D}|dg}tj d |z|ztz}|S) aCreate an agent that uses JSON to format its logic, build for Chat Models. Examples: .. code-block:: python from langchain import hub from langchain_community.chat_models import ChatOpenAI from langchain.agents import AgentExecutor, create_json_chat_agent prompt = hub.pull("hwchase17/react-chat-json") model = ChatOpenAI() tools = ... agent = create_json_chat_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?"), ], } ) Args: llm: LLM to use as the agent. tools: Tools this agent has access to. prompt: The prompt to use, must have input keys of `tools`, `tool_names`, and `agent_scratchpad`. 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. >r tool_namesagent_scratchpadz#Prompt missing required variables: z, cg|] }|j S)name).0ts g/var/www/html/services/rag-service/venv/lib/python3.11/site-packages/langchain/agents/json_chat/base.py z*create_json_chat_agent..Es444af444)rrz Observation)stopc:t|dtS)Nintermediate_steps)template_tool_response)r r )xs rz(create_json_chat_agent..Ks"'=&'@V(((r)r) differenceinput_variables ValueErrorpartialr listjoinbindrassignr )r rr missing_vars llm_with_stopagents rcreate_json_chat_agentr-s^?>>IILOM|MMNNN ^^%d5kk229944e44455FHH?"3H44M "         ! ! "  LrN)typingrlangchain_core.language_modelsrlangchain_core.prompts.chatrlangchain_core.runnablesrrlangchain_core.toolsr"langchain.agents.format_scratchpadr !langchain.agents.json_chat.promptr langchain.agents.output_parsersr langchain.tools.renderr r-rrrr7s<<<<<<::::::BBBBBBBB))))))EEEEEEDDDDDDAAAAAA::::::E E#+H#5E?QE EEEEEEr