sica-fondt/brain/providers/hermes-agent/manual_compression_feedback.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

50 lines
1.5 KiB
Python

"""User-facing summaries for manual compression commands."""
from __future__ import annotations
from typing import Any, Sequence
def summarize_manual_compression(
before_messages: Sequence[dict[str, Any]],
after_messages: Sequence[dict[str, Any]],
before_tokens: int,
after_tokens: int,
) -> dict[str, Any]:
"""Return consistent user-facing feedback for manual compression."""
before_count = len(before_messages)
after_count = len(after_messages)
noop = list(after_messages) == list(before_messages)
if noop:
headline = f"No changes from compression: {before_count} messages"
if after_tokens == before_tokens:
token_line = (
f"Approx request size: ~{before_tokens:,} tokens (unchanged)"
)
else:
token_line = (
f"Approx request size: ~{before_tokens:,}"
f"~{after_tokens:,} tokens"
)
else:
headline = f"Compressed: {before_count}{after_count} messages"
token_line = (
f"Approx request size: ~{before_tokens:,}"
f"~{after_tokens:,} tokens"
)
note = None
if not noop and after_count < before_count and after_tokens > before_tokens:
note = (
"Note: fewer messages can still raise this estimate when "
"compression rewrites the transcript into denser summaries."
)
return {
"noop": noop,
"headline": headline,
"token_line": token_line,
"note": note,
}