j5^dZddlmZddlmZmZmZddlmZddl m Z m Z ddl m Z mZddlmZddlmZmZdd lmZdd lmZmZmZdd lmZdd lmZmZdd lm Z ddl!m"Z"ddl#m$Z$ddl%m&Z&ddl'm(Z(ddl)m*Z*ddl+m,Z,e-Z.edddGdde(Z/dedee dedefdZ0y) zHModule implements an agent that uses OpenAI's APIs function enabled API.)Sequence)AnyOptionalUnion) deprecated) AgentAction AgentFinish)BaseCallbackManager Callbacks)BaseLanguageModel) BaseMessage SystemMessage)BasePromptTemplate)ChatPromptTemplateHumanMessagePromptTemplateMessagesPlaceholder)BaseMessagePromptTemplate)RunnableRunnablePassthrough)BaseTool)convert_to_openai_function)model_validator)Self)BaseSingleActionAgent"format_to_openai_function_messages) OpenAIFunctionsAgentOutputParserz0.1.0create_openai_functions_agentz1.0) alternativeremovalceZdZUdZeed<eeed<eed<e Z e e ed<de e fdZed defd Zede e fd Zede efd Z dde eee fdedededeeeff dZ dde eee fdededeeeffdZde de eee fdedefdZe e!d fde"e#de"e e$de%fdZ&e d d e!fdedeede"e'de"e e$de"e#dede(fdZ)y )OpenAIFunctionsAgentazAn Agent driven by OpenAIs function powered API. Args: llm: This should be an instance of ChatOpenAI, specifically a model that supports using `functions`. tools: The tools this agent has access to. prompt: The prompt for this agent, should support agent_scratchpad as one of the variables. For an easy way to construct this prompt, use `OpenAIFunctionsAgent.create_prompt(...)` output_parser: The output parser for this agent. Should be an instance of OpenAIFunctionsAgentOutputParser. Defaults to OpenAIFunctionsAgentOutputParser. llmtoolsprompt output_parserreturncT|jDcgc]}|jc}Scc}w)zGet allowed tools.)r$nameselfts v/var/www/html/Fitness-lenito-AI-main/venv/lib/python3.12/site-packages/langchain/agents/openai_functions_agent/base.pyget_allowed_toolsz&OpenAIFunctionsAgent.get_allowed_tools=s" $ + 1 +++s%after)modecn|j}d|jvrd|j}t||S)zValidate prompt. Args: values: Values to validate. Returns: Validated values. Raises: ValueError: If `agent_scratchpad` is not in the prompt. agent_scratchpadzE`agent_scratchpad` should be one of the variables in the prompt, got )r%input_variables ValueError)r+r%msgs r-validate_promptz$OpenAIFunctionsAgent.validate_promptAsG&*[[ V%;%; ;--.0 S/ ! cdgS)z0Get input keys. Input refers to user input here.input)r+s r- input_keyszOpenAIFunctionsAgent.input_keysWs yr7cd|jDcgc]}tt|c}Scc}w)zGet functions.)r$dictrr*s r- functionszOpenAIFunctionsAgent.functions\s,>BZZHZ/23ZHHHs-Nintermediate_steps callbackswith_functionskwargsc t|}|jjDcic]}|dk7s |||}}tdi|d|i}|jjdi|} | j } |r)|j j| |j|} n|j j| |} |jj| Scc}w)a Given input, decided what to do. Args: intermediate_steps: Steps the LLM has taken to date, along with observations. callbacks: Callbacks to use. Defaults to None. with_functions: Whether to use functions. Defaults to True. **kwargs: User inputs. Returns: Action specifying what tool to use. If the agent is finished, returns an AgentFinish. If the agent is not finished, returns an AgentAction. r2r>r@)r@r:) rr%r3r= format_prompt to_messagesr#predict_messagesr>r&_parse_ai_message) r+r?r@rArBr2kselected_inputs full_inputsr%messagespredicted_messages r-planzOpenAIFunctionsAgent.planbs*>>PQ"&++"="= "=QFXAXAvayL"=  P_P?OP ***9[9%%'  $ 9 9..#!:!  !% 9 9#!:! !!334EFF# s CCcKt|}|jjDcic]}|dk7s |||}}tdi|d|i}|jjdi|}|j } |j j| |j|d{} |jj| Scc}w7$w)aAsync given input, decided what to do. Args: intermediate_steps: Steps the LLM has taken to date, along with observations. callbacks: Callbacks to use. Defaults to None. **kwargs: User inputs. Returns: Action specifying what tool to use. If the agent is finished, returns an AgentFinish. If the agent is not finished, returns an AgentAction. r2rDNr:) rr%r3r=rErFr#apredict_messagesr>r&rH) r+r?r@rBr2rIrJrKr%rLrMs r-aplanzOpenAIFunctionsAgent.aplans&>>PQ"&++"="= "=QFXAXAvayL"=  P_P?OP ***9[9%%'"&(("<"< nn#=#   !!334EFF  s!$C CCA(C!C"%Cearly_stopping_methodc |dk(rtddidS|dk(r7|j|fddi|}t|tr|Sd|}t|d |}t|) aReturn response when agent has been stopped due to max iterations. Args: early_stopping_method: The early stopping method to use. intermediate_steps: Intermediate steps. **kwargs: User inputs. Returns: AgentFinish. Raises: ValueError: If `early_stopping_method` is not `force` or `generate`. ValueError: If `agent_decision` is not an AgentAction. forceoutputz3Agent stopped due to iteration limit or time limit.generaterAFz,got AgentAction with no functions provided: zBearly_stopping_method should be one of `force` or `generate`, got )r rN isinstancer4)r+rRr?rBagent_decisionr5s r-return_stopped_responsez,OpenAIFunctionsAgent.return_stopped_responses( !G +PQ  !J .&TYY"$N .+6%%@@PQCS/ ! () + or7system_messageextra_prompt_messagesc|xsg}|tur|n td}|r|gng}|jg|tjdt dt |S)aCreate prompt for this agent. Args: system_message: Message to use as the system message that will be the first in the prompt. extra_prompt_messages: Prompt messages that will be placed between the system message and the new human input. Returns: A prompt template to pass into this agent. You are a helpful AI assistant.contentz{input}r2) variable_name)rL)_NOT_SETrextendr from_templaterr)clsr[r\_promptssystem_message_rLs r- create_promptz"OpenAIFunctionsAgent.create_prompts").BX- 'HI  )8O$R  *88C $2DE  "844r7callback_managerc n|tur|n td}|j||}|d||||d|S)aConstruct an agent from an LLM and tools. Args: llm: The LLM to use as the agent. tools: The tools to use. callback_manager: The callback manager to use. Defaults to None. extra_prompt_messages: Extra prompt messages to use. Defaults to None. system_message: The system message to use. Defaults to a default system message. kwargs: Additional parameters to pass to the agent. r^r_)r\r[)r#r%r$rir:)rbrrh) rer#r$rir\r[rBrgr%s r-from_llm_and_toolsz'OpenAIFunctionsAgent.from_llm_and_toolssf.X- 'HI  """7*#  -     r7)NT)N)*__name__ __module__ __qualname____doc__r __annotations__rrrrr&typeliststrr.rrr6propertyr;r=r>tuplerr boolrrr rNrQrZ classmethodrbrrrrrhr rrkr:r7r-r"r"&sT   H  (489,49,'"#*DII4:II $# 'G {C'7!89'G'G 'G  'G {K' ( 'GX $G {C'7!89GG G {K' ( GB)")!{C'7!89) )  )V3;KO 5 / 5 (-F(GH 5  5 5D ;?KO2: # # !# ##67 # (-F(GH # !/ # #  # # r7r"r#r$r%r'c,d|jt|jzvrd|jd}t||j |Dcgc] }t |c}}t jd|z|ztzScc}w)a Create an agent that uses OpenAI function calling. Args: llm: LLM to use as the agent. Should work with OpenAI function calling, so either be an OpenAI model that supports that or a wrapper of a different model that adds in equivalent support. tools: Tools this agent has access to. prompt: The prompt to use. See Prompt section below for more. 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 `agent_scratchpad` is not in the prompt. Example: Creating an agent with no memory .. code-block:: python from langchain_community.chat_models import ChatOpenAI from langchain.agents import AgentExecutor, create_openai_functions_agent from langchain import hub prompt = hub.pull("hwchase17/openai-functions-agent") model = ChatOpenAI() tools = ... agent = create_openai_functions_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"), ] ) r2zLPrompt must have input variable `agent_scratchpad`, but wasn't found. Found z instead.)r>ct|dS)Nr?r)xs r-z/create_openai_functions_agent..vs'I&'(r7)r2) r3rrpartial_variablesr4bindrrassignr)r#r$r%r5r,llm_with_toolss r-rr!sTf&>&>!?? ++,I 7 oXXPU(VPU1)CA)FPU(VXWN""       + , - )WsBN)1rocollections.abcrtypingrrrlangchain_core._apirlangchain_core.agentsrr langchain_core.callbacksr r langchain_core.language_modelsr langchain_core.messagesr rlangchain_core.promptsrlangchain_core.prompts.chatrrrlangchain_core.prompts.messagerlangchain_core.runnablesrrlangchain_core.toolsr%langchain_core.utils.function_callingrpydanticrtyping_extensionsrlangchain.agentsr3langchain.agents.format_scratchpad.openai_functionsr0langchain.agents.output_parsers.openai_functionsrobjectrbr"rr:r7r-rsN$''*:C<6 EB)L$"2 8 G!@%Pw 0w Qw t\ \ H \ \ \r7