UOM Deep Agent

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uom_deep_agent.uom_agent.get_example_input

def get_example_input(file_name: str) -> str

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uom_deep_agent.uom_agent.configurable_model

@wrap_model_call()
async def configurable_model(
    request: ModelRequest[Context],
    handler: Callable[[ModelRequest[Context]],
                      ModelResponse]) -> ModelResponse

• request - The dynamic model invocation request containing context.
• handler - The downstream handler callable to execute the model call.

• ModelResponse - The generated response from the configured model.

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uom_deep_agent.uom_agent.custom_system_prompt

@dynamic_prompt
def custom_system_prompt(request: ModelRequest[Context]) -> str

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uom_deep_agent.uom_agent.build_deep_agent

def build_deep_agent(model: BaseChatModel,
                     dotnet_sandbox: DaytonaSandbox,
                     java_sandbox: DaytonaSandbox,
                     extra_middleware: list[Any] | None = None,
                     checkpointer: Checkpointer | None = None,
                     context: AgentSessionContext | None = None)

• model - The base language model to use for core agent reasoning.
• dotnet_sandbox - Pre-allocated Daytona sandbox instance for C# compilation.
• java_sandbox - Pre-allocated Daytona sandbox instance for Java Maven compilation.
• extra_middleware - Optional list of additional middleware handlers to register.
• checkpointer - Optional persistence checkpointer for the graph’s execution state.
• context - Optional agent session context containing custom rules and current mode.

• DeepAgent - The constructed and compiled DeepAgent workspace graph instance.

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uom_deep_agent.uom_agent.build_uom_agent

async def build_uom_agent()