sica-fondt/capabilities/tools/hermes/budget_config.py
Claude 24f816b6a3
Consolidate 22 sibling repos into layered organism structure
Place useful parts of the surrounding repos into sica-fondt by layer, per the
body model (Ada = membrane; brain/endocrine/capabilities/knowledge non-Ada):

- brain/        LLM reasoning + providers (dapr, hermes, MoMoA)
- capabilities/ REPRAG sidecars: hermes tools/skills, dapr tools, parallel
                dispatch, A51 channels, and the OSINT cluster
- knowledge/    LORAG corpus: 754 cyber-skills, agency personas, secure-coding,
                MITRE ATT&CK data
- reference/    defensive threat-reference (C3, shhbruh doc) + AdaYaml parser

License handling: AGPL sources (worldosint, advanced_evolution, mercury,
Reticulum) and GPL DeTTECT are SPEC-only clean-room/port descriptions — no
copyleft code copied. MIT/Apache/data parts copied as working trees.

Safety: shhbruh escape/persistence material and C3 covert-C2 kept as reference
only, not wired into the running organism. See CONSOLIDATION.md.

https://claude.ai/code/session_01UehUqEXXJJCsHoA4voCU5c
2026-06-10 06:53:01 +00:00

53 lines
2.0 KiB
Python

"""Configurable budget constants for tool result persistence.
Overridable at the RL environment level via HermesAgentEnvConfig fields.
Per-tool resolution: pinned > config overrides > registry > default.
"""
from dataclasses import dataclass, field
from typing import Dict
# Tools whose thresholds must never be overridden.
# read_file=inf prevents infinite persist->read->persist loops.
PINNED_THRESHOLDS: Dict[str, float] = {
"read_file": float("inf"),
}
# Defaults matching the current hardcoded values in tool_result_storage.py.
# Kept here as the single source of truth; tool_result_storage.py imports these.
DEFAULT_RESULT_SIZE_CHARS: int = 100_000
DEFAULT_TURN_BUDGET_CHARS: int = 200_000
DEFAULT_PREVIEW_SIZE_CHARS: int = 1_500
@dataclass(frozen=True)
class BudgetConfig:
"""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: int = DEFAULT_RESULT_SIZE_CHARS
turn_budget: int = DEFAULT_TURN_BUDGET_CHARS
preview_size: int = DEFAULT_PREVIEW_SIZE_CHARS
tool_overrides: Dict[str, int] = field(default_factory=dict)
def resolve_threshold(self, tool_name: str) -> int | float:
"""Resolve the persistence threshold for a tool.
Priority: pinned -> tool_overrides -> registry per-tool -> default.
"""
if tool_name in PINNED_THRESHOLDS:
return PINNED_THRESHOLDS[tool_name]
if tool_name in self.tool_overrides:
return self.tool_overrides[tool_name]
from tools.registry import registry
return registry.get_max_result_size(tool_name, default=self.default_result_size)
# Default config -- matches current hardcoded behavior exactly.
DEFAULT_BUDGET = BudgetConfig()