ޠj#SrSSKJrJr SSKJrJr SSKJrJ r J r J r SSK J r SSKJr SSKJrJr SSKJr SS KJr SS KJr SS KJrJr SS KJr SS KJr SSKJ r S\!S\ S\"\\"\-S\#4Sjr$\ "S\S9"SS\55r%g)aThis module provides a ValidationNode class that can be used to validate tool calls in a langchain graph. It applies a pydantic schema to tool_calls in the models' outputs, and returns a ToolMessage with the validated content. If the schema is not valid, it returns a ToolMessage with the error message. The ValidationNode can be used in a StateGraph with a "messages" key. If multiple tool calls are requested, they will be run in parallel. )CallableSequence)Anycast) AIMessage AnyMessageToolCall ToolMessage)RunnableConfig)get_executor_for_config)BaseToolcreate_schema_from_function)is_basemodel_subclass)RunnableCallable)LangGraphDeprecatedSinceV10) BaseModelValidationError)r)r) deprecatederrorcallschemareturnc[U5S3$)z"Default error formatting function.z- Respond after fixing all validation errors.)repr)rrrs [/var/www/html/gaurav/venv/lib/python3.13/site-packages/langgraph/prebuilt/tool_validator.py_default_format_errorr"s 5k]I JJzpValidationNode is deprecated. Please use `create_agent` from `langchain.agents` with custom tool error handling.)categoryc ^\rSrSrSrSSSS.S\\\\-\ -S\ \ \ \\/\ 4S-S\ S \ \ S-S S4 U4S jjjrS \ \\\ \4-S \\ \44S jrS \ \\\ \4-S\S \4SjrSrU=r$)ValidationNode+a2 A node that validates all tools requests from the last `AIMessage`. It can be used either in `StateGraph` with a `'messages'` key. !!! note This node does not actually **run** the tools, it only validates the tool calls, which is useful for extraction and other use cases where you need to generate structured output that conforms to a complex schema without losing the original messages and tool IDs (for use in multi-turn conversations). Returns: (Union[Dict[str, List[ToolMessage]], Sequence[ToolMessage]]): A list of `ToolMessage` objects with the validated content or error messages. Example: ```python title="Example usage for re-prompting the model to generate a valid response:" from typing import Literal, Annotated from typing_extensions import TypedDict from langchain_anthropic import ChatAnthropic from pydantic import BaseModel, field_validator from langgraph.graph import END, START, StateGraph from langgraph.prebuilt import ValidationNode from langgraph.graph.message import add_messages class SelectNumber(BaseModel): a: int @field_validator("a") def a_must_be_meaningful(cls, v): if v != 37: raise ValueError("Only 37 is allowed") return v builder = StateGraph(Annotated[list, add_messages]) llm = ChatAnthropic(model="claude-3-5-haiku-latest").bind_tools([SelectNumber]) builder.add_node("model", llm) builder.add_node("validation", ValidationNode([SelectNumber])) builder.add_edge(START, "model") def should_validate(state: list) -> Literal["validation", "__end__"]: if state[-1].tool_calls: return "validation" return END builder.add_conditional_edges("model", should_validate) def should_reprompt(state: list) -> Literal["model", "__end__"]: for msg in state[::-1]: # None of the tool calls were errors if msg.type == "ai": return END if msg.additional_kwargs.get("is_error"): return "model" return END builder.add_conditional_edges("validation", should_reprompt) graph = builder.compile() res = graph.invoke(("user", "Select a number, any number")) # Show the retry logic for msg in res: msg.pretty_print() ``` N validation) format_errornametagsschemasr#r$r%rc^>[TU]URSX4SS9 U=(d [Ul0UlUGHpn[ U[5(aURc[SURS35e[ UR[5(a[UR5(d&[SURSURS35eURUR UR'M[ U[5(aL[U[[45(a1[![[U5UR UR"'GM$[%U5(a'['S U5nX`R UR"'GM[[S [U5S35e g) atInitialize the ValidationNode. Args: schemas: A list of schemas to validate the tool calls with. These can be any of the following: - A pydantic BaseModel class - A BaseTool instance (the args_schema will be used) - A function (a schema will be created from the function signature) format_error: A function that takes an exception, a ToolCall, and a schema and returns a formatted error string. By default, it returns the exception repr and a message to respond after fixing validation errors. name: The name of the node. tags: A list of tags to add to the node. NF)r$r%tracezTool z& does not have an args_schema defined.zVValidation node only works with tools that have a pydantic BaseModel args_schema. Got z with args_schema: . ValidationzPUnsupported input to ValidationNode. Expected BaseModel, tool or function. Got: )super__init___funcr _format_errorschemas_by_name isinstancer args_schema ValueErrorr$typer issubclassr BaseModelV1r__name__callabler)selfr&r#r$r%r base_model __class__s rr,ValidationNode.__init__ts~. TuM)B-B;=F&(++%%-$ },RS$&&.v/A/ABB$%{{m+>v?Q?Q>RRSU5;4F4F$$V[[1FD))jK0//9=T)_f8U$$V__5&!!8vN 8B$$V__5 fgklrgsfttuv-rinputc[U[5(aSnUnO'URS/5=n(aSnO [S5eUSn[U[5(d [S5eX$4$)z*Extract the last AIMessage from the input.listmessagesdictzNo message found in inputz Last message is not an AIMessage)r0r>getr2r)r8r< output_typer?messages r _get_messageValidationNode._get_messagesm eT " " K"H:r2 2X 2 K89 9&rl'9--?@ @##rconfigc^TRU5up4S[S[4U4Sjjn[U5n/UR XTR 5QnUS:Xa UsSSS5 $SU0sSSS5 $!,(df  g=f)z*Validate and run tool calls synchronously.rrc >TRUSn[U[5(a%URUS5nUR 5nOR[U[ 5(a%UR US5nUR5nO[S[U5S35e[UUS[[US5S9$![[4a<n[TRX@U5US[[US5SS0S 9sSnA$SnAff=f) Nr$argszUnsupported schema type: z$. Expected BaseModel or BaseModelV1.id)contentr$ tool_call_idis_errorT)rLr$rMadditional_kwargs)r/r4rmodel_validatemodel_dump_jsonr5validatejsonr2r3r rstrrValidationErrorV1r.)rroutputrLer8s rrun_one%ValidationNode._func..run_ones ))$v,7F fi00#224<@F$446G 44#__T&\:F$kkmG$3DL>Aef##f!%c4:!6 $%67 " ..q?f!%c4:!6'14&8  sB*CD 1DD D r>Nr?)rEr r r map tool_calls)r8r<rGrCrDrXexecutoroutputss` rr-ValidationNode._funcsy $007  ( { 4%V ,B W.@.@ABGf$- , #G, - , ,s%A0#A00 A>)r.r/)r6 __module__ __qualname____firstlineno____doc__rr r3rr BaseExceptionr rTr>r,rr@rtuplerrEr r-__static_attributes__ __classcell__)r:s@rr r +s BR !%2(T)_4x?@2 xiI3NO  2  23i$2 22h$*%S#X6$ sI~ $ %-*%S#X6%-@N%- %-%-rr N)&rbcollections.abcrrtypingrrlangchain_core.messagesrrr r langchain_core.runnablesr langchain_core.runnables.configr langchain_core.toolsr rlangchain_core.utils.pydanticrlanggraph._internal._runnablerlanggraph.warningsrpydanticrr pydantic.v1r5rUtyping_extensionsrrcr3rTrr rrrts/  DF?::/0<(K K K Od;/ /K K v (n-%n- n-r