Files
legal-ai/mcp-server/src/legal_mcp/services/panel_judges.py
Chaim 338a8a947f feat(principles): canonical_statement synthesis service + throttled backfill (Phase E groundwork, #152)
Grounded (INV-AH) multi-instance synthesis with drift guard + chair gate
(pending_review, G10). Single path used by backfill, MCP tool, nightly drain.
HELD from production run pending the principles-redesign (rename+cull, #152).

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-19 10:57:48 +00:00

115 lines
4.6 KiB
Python

"""Three independent-lineage LLM judges — the shared primitive (G2).
Extracted from scripts/halacha_panel_approve.py so the panel-extraction regime
(#152) and the existing approval-triage share ONE implementation of the judges
(no parallel HTTP/auth paths). Diversity of lineage is the point — cross-model
agreement is the reliable signal (gold-set AC1=0.92):
• claude — Opus via claude_session (local CLI, zero marginal cost) [Anthropic]
• deepseek — api.deepseek.com (deepseek-chat) [DeepSeek]
• gemini — generativelanguage (gemini-2.5-flash, #1 LegalBench) [Google]
Every judge has the SAME signature ``(system, user) -> dict | None`` and returns
None on ANY failure (missing key, HTTP error, bad JSON) — callers must tolerate a
missing judge (a 2/3 panel is still actionable).
"""
from __future__ import annotations
import json
import os
from pathlib import Path
import httpx
from legal_mcp.services import claude_session
def _env_key(name: str, *files: str) -> str:
for f in files:
p = Path(f).expanduser()
if p.exists():
for line in p.read_text().splitlines():
if line.startswith(name + "="):
return line.split("=", 1)[1].strip()
return os.environ.get(name, "")
DEEPSEEK_KEY = _env_key("DEEPSEEK_API_KEY", "~/.hermes/profiles/deepseek/.env", "~/.env")
# canonical Infisical name is GOOGLE_GEMINI_API_KEY (/external-apis/gemini); accept
# the bare GEMINI_API_KEY too for back-compat.
GEMINI_KEY = _env_key("GOOGLE_GEMINI_API_KEY", "~/.env") or _env_key("GEMINI_API_KEY", "~/.env")
JUDGE_NAMES = ("claude", "deepseek", "gemini")
def available() -> dict[str, bool]:
return {"claude": True, "deepseek": bool(DEEPSEEK_KEY), "gemini": bool(GEMINI_KEY)}
async def judge_claude(system: str, user: str, *, max_tokens: int = 2000) -> dict | list | None:
try:
# tools="" → no tool_use, so a pure text→JSON extraction never trips
# error_max_turns (and wastes no retries on a web-search detour).
return await claude_session.query_json(user, system=system, tools="")
except Exception:
return None
async def judge_deepseek(
client: httpx.AsyncClient, system: str, user: str, *, max_tokens: int = 2000,
) -> dict | list | None:
if not DEEPSEEK_KEY:
return None
try:
r = await client.post(
"https://api.deepseek.com/v1/chat/completions",
headers={"Authorization": f"Bearer {DEEPSEEK_KEY}", "Content-Type": "application/json"},
json={"model": "deepseek-chat", "temperature": 0, "max_tokens": max_tokens,
"response_format": {"type": "json_object"},
"messages": [{"role": "system", "content": system},
{"role": "user", "content": user}]},
timeout=120,
)
r.raise_for_status()
return json.loads(r.json()["choices"][0]["message"]["content"])
except Exception:
return None
async def judge_gemini(
client: httpx.AsyncClient, system: str, user: str, *, max_tokens: int = 8000,
) -> dict | list | None:
if not GEMINI_KEY:
return None
try:
r = await client.post(
f"https://generativelanguage.googleapis.com/v1beta/models/gemini-2.5-flash:generateContent?key={GEMINI_KEY}",
headers={"Content-Type": "application/json"},
json={"system_instruction": {"parts": [{"text": system}]},
"contents": [{"parts": [{"text": user}]}],
# thinkingBudget=0 disables gemini-2.5-flash's "thinking", which
# otherwise eats the output budget on large inputs → empty parts
# → finishReason MAX_TOKENS → the judge silently dropped out.
"generationConfig": {"temperature": 0, "maxOutputTokens": max_tokens,
"responseMimeType": "application/json",
"thinkingConfig": {"thinkingBudget": 0}}},
timeout=120,
)
r.raise_for_status()
parts = (r.json().get("candidates") or [{}])[0].get("content", {}).get("parts")
if not parts:
return None
return json.loads(parts[0]["text"])
except Exception:
return None
def to_bool(d: dict | None, key: str) -> bool | None:
"""Robust bool coercion for a judge JSON field (handles he/en truthy strings)."""
if not isinstance(d, dict) or key not in d:
return None
v = d[key]
if isinstance(v, bool):
return v
return str(v).strip().lower() in ("true", "1", "yes", "כן")