mirror of
https://github.com/agentscope-ai/ReMe.git
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548b08561e
* refactor: generalize decision models and add opt-in context compaction * chore: remove compaction-specific license metadata * test: add live decision compaction scenarios and strategy guides * docs: describe current decision model configuration directly * refactor: preserve recoverable tool evidence and add compaction benchmarks * docs: visualize compaction benchmark results with English charts * docs: fix compaction benchmark links with verified permalinks * benchmark: evaluate fixed-summary evidence additions and summary-aware selection * docs: report summary-aware incremental evidence results * docs: unify compaction strategy comparison * refactor: replace compaction studies with one matched-input benchmark * docs: pin matched-input results links * bench: evaluate gold-labelled HotpotQA trajectories collected with Hermes * docs: pin gold-labelled benchmark results * bench: focus on frozen-summary Jev Top-N payment evaluation * docs: pin frozen-summary benchmark results * bench: evaluate fixed-summary fusion across Hermes fixture tasks * docs: pin compaction study references to reviewed results * bench: compare Jev fusion across frozen summary strategies * docs: pin dual-summary benchmark and figure references * docs: specify reproducible compaction settings and Hermes summary scope * docs: plot Jev token overhead by retained Top N * docs: pin reproducibility settings and revised cost figure * docs: price total compaction and answering cost across Top N * docs: pin final cost accounting and reproduction references * docs: explain compaction experiment background setup and conclusions inline * docs: compare compaction-only costs and omit Full from cost panel * docs: pin compaction-only cost references * docs: retain only quality and context-length experiment comparisons * docs: pin streamlined experiment references * docs: add Chinese counterparts for all compaction benchmark guides * docs: link benchmark guides in the matching language * docs: consolidate bilingual compaction benchmark guides * docs: point compaction references to consolidated benchmark * docs: reference Hermes Jev compaction evaluation results * fix(benchmark): validate cached native summary provenance
60 lines
1.5 KiB
Python
60 lines
1.5 KiB
Python
"""Schema"""
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from .application_config import ApplicationConfig, ComponentConfig, JobConfig
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from .compaction import CallDecision, CompactionOptions, CompactionRequest, CompactionResult
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from .dream import (
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DreamExtractOutput,
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DreamState,
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DreamUnit,
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IntegrateOutcome,
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)
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from .proactive import (
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ProactiveResult,
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ProactiveState,
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ProactiveStateFile,
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ProactiveTopic,
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)
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from .emb_node import EmbNode
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from .file_chunk import FileChunk
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from .file_front_matter import FileFrontMatter
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from .graph_snapshot import GraphSnapshot, GraphSnapshotEdge, GraphSnapshotNode
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from .file_link import FileLink
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from .file_node import FileNode
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from .request import Request
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from .response import Response
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from .stream_chunk import StreamChunk
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from .token_usage import TokenUsage
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from .traverse_graph import TraverseGraph, TraverseGraphEdge, TraverseGraphNode
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__all__ = [
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"CallDecision",
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"CompactionOptions",
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"CompactionRequest",
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"CompactionResult",
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"ApplicationConfig",
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"ComponentConfig",
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"DreamExtractOutput",
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"DreamState",
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"DreamUnit",
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"EmbNode",
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"FileChunk",
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"FileFrontMatter",
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"FileLink",
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"FileNode",
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"GraphSnapshot",
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"GraphSnapshotEdge",
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"GraphSnapshotNode",
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"IntegrateOutcome",
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"JobConfig",
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"ProactiveResult",
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"ProactiveState",
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"ProactiveStateFile",
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"ProactiveTopic",
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"Request",
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"Response",
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"StreamChunk",
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"TokenUsage",
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"TraverseGraph",
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"TraverseGraphEdge",
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"TraverseGraphNode",
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]
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