mirror of
https://github.com/agentscope-ai/ReMe.git
synced 2026-10-24 05:47:32 +00:00
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
51 lines
1.2 KiB
Python
51 lines
1.2 KiB
Python
"""Components"""
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from . import agent_wrapper
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from . import as_llm
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from . import as_decision_model
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from . import client
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from . import as_embedding
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from . import embedding_store
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from . import file_catalog
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from . import file_graph
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from . import file_chunker
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from . import file_store
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from . import job
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from . import keyword_index
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from . import outbound_proxy
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from . import service
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from . import tag_index
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from . import tokenizer
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from .application_context import ApplicationContext
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from .base_component import BaseComponent, ComponentMixin
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from .component_registry import ComponentRegistry, R, create_application_registry
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from .prompt_handler import PromptHandler
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from .runtime_context import RuntimeContext
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__all__ = [
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"ApplicationContext",
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"BaseComponent",
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"ComponentMixin",
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"ComponentRegistry",
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"R",
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"create_application_registry",
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"PromptHandler",
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"RuntimeContext",
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# base components
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"agent_wrapper",
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"as_llm",
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"as_decision_model",
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"client",
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"as_embedding",
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"embedding_store",
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"file_catalog",
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"file_graph",
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"file_chunker",
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"file_store",
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"job",
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"keyword_index",
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"outbound_proxy",
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"service",
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"tag_index",
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"tokenizer",
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]
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