6afdb4b148
Lucidia Core - AI reasoning engines for specialized domains: - Physicist (867 lines) - energy modeling, force calculations - Mathematician (760 lines) - symbolic computation, proofs - Geologist (654 lines) - terrain modeling, stratigraphy - Engineer (599 lines) - structural analysis, optimization - Painter (583 lines) - visual generation, graphics - Chemist (569 lines) - molecular analysis, reactions - Analyst (505 lines) - pattern recognition, insights - Plus: architect, researcher, mediator, speaker, poet, navigator Features: - FastAPI wrapper with REST endpoints for each agent - CLI with `lucidia list`, `lucidia run`, `lucidia api` - Codex YAML configurations for agent personalities - Quantum engine extensions 12,512 lines of Python across 91 files. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
77 lines
2.1 KiB
Python
77 lines
2.1 KiB
Python
"""JSONL logger for reasoning duet sessions."""
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from __future__ import annotations
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import json
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from dataclasses import dataclass
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from datetime import datetime
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from pathlib import Path
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from typing import Any, Dict, Iterable, Optional
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from .arbiter import ArbiterDecision
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from .generator import Proposal
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from .validator import ValidationResult
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@dataclass
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class TaskDescriptor:
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id: str
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goal: str
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constraints: Iterable[str]
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def to_payload(self) -> Dict[str, Any]:
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return {
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"id": self.id,
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"goal": self.goal,
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"constraints": list(self.constraints),
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}
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class DuetLogger:
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"""Append-only JSONL logger for duet sessions."""
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def __init__(self, log_dir: Path) -> None:
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self.log_dir = log_dir
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self.log_dir.mkdir(parents=True, exist_ok=True)
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def _session_path(self, session_id: str) -> Path:
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date_prefix = datetime.utcnow().strftime("%Y-%m-%d")
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return self.log_dir / f"{date_prefix}.jsonl"
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def append_round(
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self,
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*,
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session_id: str,
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task: TaskDescriptor,
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round_index: int,
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generator_model: str,
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proposal: Proposal,
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validation: ValidationResult,
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arbiter: ArbiterDecision,
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final_status: Optional[str] = None,
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next_actions: Optional[Iterable[str]] = None,
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) -> None:
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payload: Dict[str, Any] = {
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"session_id": session_id,
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"task": task.to_payload(),
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"round": round_index,
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"generator": {
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"model": generator_model,
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"proposal": proposal.to_payload(),
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},
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"validator": validation.to_payload(),
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"arbiter": arbiter.to_payload(),
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}
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if final_status or next_actions:
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payload["final"] = {
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"status": final_status or "pending",
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"next_actions": list(next_actions or []),
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}
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path = self._session_path(session_id)
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with path.open("a", encoding="utf-8") as handle:
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handle.write(json.dumps(payload, ensure_ascii=False) + "\n")
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__all__ = ["DuetLogger", "TaskDescriptor"]
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