mirror of
https://github.com/SHOGGOTH-SECTOR/sica-fondt.git
synced 2026-08-01 00:23:15 +00:00
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
50 lines
1.5 KiB
Python
50 lines
1.5 KiB
Python
"""User-facing summaries for manual compression commands."""
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from __future__ import annotations
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from typing import Any, Sequence
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def summarize_manual_compression(
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before_messages: Sequence[dict[str, Any]],
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after_messages: Sequence[dict[str, Any]],
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before_tokens: int,
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after_tokens: int,
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) -> dict[str, Any]:
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"""Return consistent user-facing feedback for manual compression."""
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before_count = len(before_messages)
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after_count = len(after_messages)
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noop = list(after_messages) == list(before_messages)
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if noop:
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headline = f"No changes from compression: {before_count} messages"
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if after_tokens == before_tokens:
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token_line = (
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f"Approx request size: ~{before_tokens:,} tokens (unchanged)"
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)
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else:
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token_line = (
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f"Approx request size: ~{before_tokens:,} → "
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f"~{after_tokens:,} tokens"
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)
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else:
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headline = f"Compressed: {before_count} → {after_count} messages"
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token_line = (
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f"Approx request size: ~{before_tokens:,} → "
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f"~{after_tokens:,} tokens"
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)
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note = None
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if not noop and after_count < before_count and after_tokens > before_tokens:
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note = (
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"Note: fewer messages can still raise this estimate when "
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"compression rewrites the transcript into denser summaries."
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)
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return {
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"noop": noop,
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"headline": headline,
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"token_line": token_line,
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"note": note,
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}
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