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https://github.com/agentscope-ai/ReMe.git
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* feat(search): add tool_context-scoped chunk dedup with TTL
Introduce _ToolContextDedupMixin shared by search/vector_search/bm25_search
to skip already-seen chunks within one agent tool_context. Per-context state
lives in app_context.metadata with configurable TTL (default 24h).
* feat(search): unify chunk answer rendering with merge and explicit empty messages
- Refactor SearchStep/VectorSearchStep/Bm25SearchStep to share format_chunks_answer for consistent source rendering and adjacent session-chunk merging.
- Distinguish empty results: ALL_RETURNED_MESSAGE when dedup removes everything vs NO_RESULTS_MESSAGE when nothing matched.
- Bump JsonlFileChunker default max_chars to 4000.
- Add unit tests for source-format merge and empty-result messages.
* refactor(config): reorganize file_chunker components and move jsonl max_chars into config
- Register explicit markdown/json/jsonl chunkers in beam.yaml and lme.yaml with markdown options (embed_toc, max_ast_sections, frontmatter handling) and jsonl max_chars=4000.
- Restrict default chunker to txt/log extensions.
- Revert JsonlFileChunker code default max_chars back to 2000; the 4000 value now lives in config.
* chore(benchmark): increase longmemeval num_items from 64 to 500
* refactor(search): split SearchStep into simplified and v2 variants, extract counter utility
- Extract global_counter_next from ApplicationContext into reme/utils/counter.py
as a standalone function operating on metadata dict with lazy initialization.
- Split SearchStep into two variants:
- SearchStep (simplified): inline chunk.id dedup, single-branch vector/keyword
optimization based on vector_weight, inline answer formatting.
- SearchV2Step (full): preserves _ToolContextDedupMixin with interval-subset-aware
dedup and format_chunks_answer with session-aware chunk merging.
- Update beam.yaml and lme.yaml to use search_v2_step for benchmark jobs.
- Rename existing search tests to test_search_v2_step_* and add new
test_search_step_* tests covering the simplified variant.
* fix: normalise missing trailing newline in _build_union_chunk to prevent line collision
* refactor: lazy-init counter tree in ApplicationContext metadata
- Remove hardcoded _counter_tree and _counter_tree_lock initialization
from ApplicationContext.metadata; rely on lazy initialization in
reme.utils.counter.global_counter_next on first call
- Set longmemeval num_items back to 500
- Remove obsolete trailing-newline collision tests
---------
Co-authored-by: sa-buc <jiangniurou.xyf@dail-algo011164204033.ET135>
42 lines
1.1 KiB
Python
42 lines
1.1 KiB
Python
"""Utility modules."""
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from .common_utils import (
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hash_text,
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execute_stream_task,
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mock_reme_server,
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call_action,
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call_and_check,
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)
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from .env_utils import load_env, parse_env_file
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from .link_expansion import expand_links, render_expansion_lines
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from .logger_utils import get_logger
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from .logo_utils import print_logo
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from .service_utils import find_reme, locate_reme, precheck_start, cli_find_reme, running_service_config
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from .similarity_utils import cosine_similarity, batch_cosine_similarity
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from .token_utils import estimate_token_count
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from .agent_state_io import AsStateHandler
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from .counter import global_counter_next
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__all__ = [
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"hash_text",
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"execute_stream_task",
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"mock_reme_server",
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"call_action",
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"call_and_check",
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"load_env",
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"parse_env_file",
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"expand_links",
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"render_expansion_lines",
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"get_logger",
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"print_logo",
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"find_reme",
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"locate_reme",
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"precheck_start",
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"cli_find_reme",
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"running_service_config",
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"cosine_similarity",
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"batch_cosine_similarity",
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"estimate_token_count",
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"AsStateHandler",
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"global_counter_next",
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]
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