feat: add pluggable chat storage with optional SQLite persistence and session-scoped caching#61
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tisha-varma wants to merge 1 commit intoINCF:mainfrom
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… session-scoped caching
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Summary
Closes #60
Adds a modular storage abstraction for chat history with optional SQLite persistence and an optional session-scoped response cache to reduce redundant LLM calls.
Both features are opt-in. Default behavior remains fully in-memory and unchanged.
No new dependencies — implementation uses only Python stdlib (
sqlite3,hashlib,collections.OrderedDict,threading).What Changed
New Files
backend/chat_storage.pyChatStorageabstraction +InMemoryChatStorage(default) +SQLiteChatStorage(opt-in, WAL-enabled)backend/response_cache.pyResponseCachewith TTL expiry and LRU eviction (session-scoped)tests/test_chat_storage.pytests/test_response_cache.pyModified Files
backend/agents.pyNeuroscienceAssistantnow uses pluggable storage and cache instead of raw dictsbackend/main.pyGET /api/sessions,GET /api/cache/stats,POST /api/cache/clear.env.templateENABLE_PERSISTENCE,ENABLE_CACHE, and tuning variables.gitignorechat_history.dbDesign Notes
NeuroscienceAssistant()works unchanged.handle_chatsignature remains-> str. Default behavior is still in-memory.session_idto prevent cross-session response leakage.all_resultslists are kept in_results_bufferto avoid database bloat.check_same_thread=False) guarded by a lock.Configuration
Testing
All features are opt-in and can be toggled independently.
Happy to adjust scope or split changes based on feedback.