mirror of
https://github.com/SHOGGOTH-SECTOR/sica-fondt.git
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24f816b6a3
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
57 lines
2.0 KiB
Python
57 lines
2.0 KiB
Python
"""Trajectory saving utilities and static helpers.
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_convert_to_trajectory_format stays as an AIAgent method (batch_runner.py
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calls agent._convert_to_trajectory_format). Only the static helpers and
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the file-write logic live here.
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"""
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import json
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import logging
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from datetime import datetime
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from typing import Any, Dict, List
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logger = logging.getLogger(__name__)
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def convert_scratchpad_to_think(content: str) -> str:
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"""Convert <REASONING_SCRATCHPAD> tags to <think> tags."""
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if not content or "<REASONING_SCRATCHPAD>" not in content:
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return content
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return content.replace("<REASONING_SCRATCHPAD>", "<think>").replace("</REASONING_SCRATCHPAD>", "</think>")
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def has_incomplete_scratchpad(content: str) -> bool:
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"""Check if content has an opening <REASONING_SCRATCHPAD> without a closing tag."""
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if not content:
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return False
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return "<REASONING_SCRATCHPAD>" in content and "</REASONING_SCRATCHPAD>" not in content
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def save_trajectory(trajectory: List[Dict[str, Any]], model: str,
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completed: bool, filename: str = None):
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"""Append a trajectory entry to a JSONL file.
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Args:
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trajectory: The ShareGPT-format conversation list.
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model: Model name for metadata.
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completed: Whether the conversation completed successfully.
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filename: Override output filename. Defaults to trajectory_samples.jsonl
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or failed_trajectories.jsonl based on ``completed``.
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"""
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if filename is None:
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filename = "trajectory_samples.jsonl" if completed else "failed_trajectories.jsonl"
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entry = {
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"conversations": trajectory,
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"timestamp": datetime.now().isoformat(),
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"model": model,
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"completed": completed,
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}
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try:
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with open(filename, "a", encoding="utf-8") as f:
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f.write(json.dumps(entry, ensure_ascii=False) + "\n")
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logger.info("Trajectory saved to %s", filename)
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except Exception as e:
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logger.warning("Failed to save trajectory: %s", e)
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