`gjUdZddlmZmZddlmZdediZeeefe d<dZ e e d<d Z e e d <d Z e e d <ed GddZeZdZe e d<dZee d<dZee d<dZe e d<dZe e d<de dzdefdZy)zConfigurable budget constants for tool result persistence. Per-tool resolution: pinned > config overrides > registry > default. ) dataclassfield)Dict read_fileinfPINNED_THRESHOLDSiDEFAULT_RESULT_SIZE_CHARSi@ DEFAULT_TURN_BUDGET_CHARSiDEFAULT_PREVIEW_SIZE_CHARST)frozencxeZdZUdZeZeed<eZ eed<e Z eed<e e Zeeefed<dedeezfd Zy ) BudgetConfiga|Immutable budget constants for the 3-layer tool result persistence system. Layer 2 (per-result): resolve_threshold(tool_name) -> threshold in chars. Layer 3 (per-turn): turn_budget -> aggregate char budget across all tool results in a single assistant turn. Preview: preview_size -> inline snippet size after persistence. default_result_size turn_budget preview_size)default_factorytool_overrides tool_namereturnc|tvr t|S||jvr|j|Sddlm}|j ||j }|t dk(r|St||j S)aTResolve the persistence threshold for a tool. Priority: pinned -> tool_overrides -> registry per-tool -> default. The registry per-tool value is capped at ``default_result_size`` so a context-scaled budget (small model) actually constrains tools that register a large fixed ``max_result_size_chars`` (web/terminal/x_search all register 100K). For the default budget this is a no-op because both equal 100K; for a scaled-down budget it prevents a per-tool registry value from re-inflating the cap past the model's window (#23767). r)registry)defaultr)rrtools.registryrget_max_result_sizerfloatmin)selfrrregistry_values F/root/.hermes/venv/lib/python3.12/site-packages/tools/budget_config.pyresolve_thresholdzBudgetConfig.resolve_threshold%sz ) )$Y/ / ++ +&&y1 1+!55iIaIa5b U5\ )! !>4#;#;<<N)__name__ __module__ __qualname____doc__r rint__annotations__r rr rrdictrrstrrr r!rrrsV 980K02L#2%*4%@NDcN@=3=3;=r!r_CHARS_PER_TOKENg333333?_PER_RESULT_WINDOW_FRACTIONg333333?_PER_TURN_WINDOW_FRACTIONi@_MIN_RESULT_SIZE_CHARSi>_MIN_TURN_BUDGET_CHARScontext_lengthNrc|r|dkrtS|tz}t|tz}t|tz}t t t|t}t tt|t}t||tS)aReturn a BudgetConfig scaled to the active model's context window. The fixed defaults (100K result / 200K turn chars) are correct for large (200K+ token) models but blind to small ones: on a 65K-token model a single tool result persisted at the 100K-char threshold, or a 200K-char turn budget (~50K tokens), can by itself approach or exceed the whole window and force an oversized request (#23767). Scaling keeps large models byte-identical to today (the proportional value is clamped to the existing defaults as a CAP) while shrinking the budget for small models proportionally to their window, floored so a usable preview always survives. r)rrr) DEFAULT_BUDGETr,r&r-r.maxr/rr r0r rr )r1 window_chars per_resultper_turns rbudget_for_context_windowr8Ts ^q0!$44L\$??@J<";;r;s ) u'4U # ")3(!(3("'C' $"="="=L#&*U)#'5'$#$$cDj\r!