i)SrSSKJr SSKJr SSKJr SSKJrJ r SSK J r SSK J r \(aSSKJrJr SS KJr SS K Jr SS KJr "S S \ 5rg)z%Tool emulator middleware for testing.) annotations) TYPE_CHECKING) BaseChatModel) HumanMessage ToolMessage)AgentMiddleware)init_chat_model) AwaitableCallable)Command)ToolCallRequest)BaseToolcp^\rSrSrSrSSS.S U4SjjjrS SjrS SjrSrU=r $) LLMToolEmulatora7Emulates specified tools using an LLM instead of executing them. This middleware allows selective emulation of tools for testing purposes. By default (when tools=None), all tools are emulated. You can specify which tools to emulate by passing a list of tool names or BaseTool instances. Examples: Emulate all tools (default behavior): ```python from langchain.agents.middleware import LLMToolEmulator middleware = LLMToolEmulator() agent = create_agent( model="openai:gpt-4o", tools=[get_weather, get_user_location, calculator], middleware=[middleware], ) ``` Emulate specific tools by name: ```python middleware = LLMToolEmulator(tools=["get_weather", "get_user_location"]) ``` Use a custom model for emulation: ```python middleware = LLMToolEmulator( tools=["get_weather"], model="anthropic:claude-sonnet-4-5-20250929" ) ``` Emulate specific tools by passing tool instances: ```python middleware = LLMToolEmulator(tools=[get_weather, get_user_location]) ``` N)toolsmodelc>[TU]5 USLUl[5UlUR(dcUb`UHZn[ U[ 5(aURRU5 M5URRUR5 M\ Uc[SSS9Ul g[ U[5(aX l g[USS9Ul g)a{Initialize the tool emulator. Args: tools: List of tool names (str) or BaseTool instances to emulate. If None (default), ALL tools will be emulated. If empty list, no tools will be emulated. model: Model to use for emulation. Defaults to "anthropic:claude-sonnet-4-5-20250929". Can be a model identifier string or BaseChatModel instance. Nz$anthropic:claude-sonnet-4-5-20250929) temperature) super__init__ emulate_allsettools_to_emulate isinstancestraddnamer rr)selfrrtool __class__s c/home/james-whalen/.local/lib/python3.13/site-packages/langchain/agents/middleware/tool_emulator.pyrLLMToolEmulator.__init__=s !D=*-%E$5dC(())--d3))--dii8  =()O]^_DJ } - -J(A>DJcURSnUR=(d X0R;nU(dU"U5$URSnUR(aURROSnSUSUSUS3nUR R [U5/5n[URURSUS 9$) aDEmulate tool execution using LLM if tool should be emulated. Args: request: Tool call request to potentially emulate. handler: Callback to execute the tool (can be called multiple times). Returns: ToolMessage with emulated response if tool should be emulated, otherwise calls handler for normal execution. rargsNo description available;You are emulating a tool call for testing purposes. Tool:  Description: Arguments: Generate a realistic response that this tool would return given these arguments. Return ONLY the tool's output, no explanation or preamble. Introduce variation into your responses.idcontent tool_call_idr) tool_callrrr! descriptionrinvokerrr/ r requesthandler tool_nameshould_emulate tool_argstool_descriptionpromptresponses r#wrap_tool_callLLMToolEmulator.wrap_tool_callds%%f- ))OY:O:O-O7# #%%f- 7>||7<<33IcK ,-.#%7 8 ::$$l6&:%;<$$ **40  r%c# URSnUR=(d X0R;nU(dU"U5IShvN $URSnUR(aURROSnSUSUSUS3nUR R [U5/5IShvN n[URURS US 9$NN(7f) alAsync version of wrap_tool_call. Emulate tool execution using LLM if tool should be emulated. Args: request: Tool call request to potentially emulate. handler: Async callback to execute the tool (can be called multiple times). Returns: ToolMessage with emulated response if tool should be emulated, otherwise calls handler for normal execution. rNr'r(r)r*r+r,r-r.) r1rrr!r2rainvokerrr/r4s r#awrap_tool_callLLMToolEmulator.awrap_tool_calls"%%f- ))OY:O:O-O )) )%%f- 7>||7<<33IcK ,-.#%7 8 ++\&-A,BCC$$ **40  -*&Ds%AC!CA0C!6C7'C!C!)rrr)rzlist[str | BaseTool] | Nonerzstr | BaseChatModel | NonereturnNone)r5r r6z2Callable[[ToolCallRequest], ToolMessage | Command]rCToolMessage | Command)r5r r6z=Callable[[ToolCallRequest], Awaitable[ToolMessage | Command]]rCrE) __name__ __module__ __qualname____firstlineno____doc__rr=rA__static_attributes__ __classcell__)r"s@r#rrs$R.2,0 %?+%?* %?  %?%?N0  0 D0   0 d2  2 O2   2 2 r%rN)rJ __future__rtypingr*langchain_core.language_models.chat_modelsrlangchain_core.messagesrr!langchain.agents.middleware.typesrlangchain.chat_models.baser collections.abcr r langgraph.typesr r langchain.toolsrrr%r#rWs7+" D==63'A(r or r%