Skill Retriever

"""Pipeline result models for retrieval orchestration.""" from __future__ import annotations from dataclasses import dataclass from typing import TYPE_CHECKING if TYPE_CHECKING: from skill_retriever.nodes.retrieval.context_assembler import RetrievalContext @dataclass class ConflictInfo: """Information about a conflict between two components.""" component_a: str component_b: str reason: str @dataclass class PipelineResult: """Result of retrieval pipeline execution. Contains the assembled context, any detected conflicts, dependencies added during resolution, and performance metrics. """ context: RetrievalContext conflicts: list[ConflictInfo] dependencies_added: list[str] latency_ms: float cache_hit: bool # RETR-06: Abstraction level awareness abstraction_level: str = "medium" suggested_types: list[str] | None = None