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hub / github.com/ScaleML/AgentSPEX / ExecutionResult

Class ExecutionResult

src/harness/agentic_loop/plan_executor.py:45–62  ·  view source on GitHub ↗

Structured result from plan execution. Provides both the output text and metadata about execution health, enabling the orchestrator to detect failures and make informed decisions about whether to proceed with dependent tasks.

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43
44@dataclass
45class ExecutionResult:
46 """Structured result from plan execution.
47
48 Provides both the output text and metadata about execution health,
49 enabling the orchestrator to detect failures and make informed decisions
50 about whether to proceed with dependent tasks.
51 """
52
53 output: str # Final output (context["prev_output"])
54 success: bool # True if all steps completed without exceptions
55 steps_completed: int # Number of steps that actually ran
56 steps_total: int # Total steps in the workflow
57 errors: list[str] = field(default_factory=list) # Error messages from failed steps
58 plan_yaml: dict = field(
59 default_factory=dict
60 ) # Parsed plan data (for health assessment)
61 tokens_used: int = 0 # Total tokens consumed during execution
62 cost: float = 0.0 # Total cost of LLM calls during execution
63
64
65class PlanExecutor:

Callers 1

executeMethod · 0.85

Calls

no outgoing calls

Tested by

no test coverage detected