Replace all Anthropic API calls with Claude Code session (claude -p)
New module claude_session.py provides query() and query_json() that run prompts via `claude -p` CLI — uses the claude.ai session, zero API cost. Converted 6 services: - claims_extractor.py: extract_claims_with_ai - brainstorm.py: brainstorm_directions - block_writer.py: write_block (was streaming+thinking, now simple) - qa_validator.py: claims_coverage check - style_analyzer.py: 3 API calls (single pass, multi pass, synthesis) - learning_loop.py: extract_lessons Only extractor.py still uses Anthropic API (for PDF OCR with Vision). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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@@ -1,7 +1,7 @@
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"""חילוץ טענות מכתבי טענות (ערר, תשובה) באמצעות Claude API.
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"""חילוץ טענות מכתבי טענות (ערר, תשובה) באמצעות Claude Code session.
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שתי גישות:
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1. extract_claims_with_ai — חילוץ עם Claude (לכתבי טענות קלט)
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1. extract_claims_with_ai — חילוץ עם Claude Code headless (לכתבי טענות קלט)
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2. extract_claims_from_block — חילוץ regex (מבלוק ז של החלטות סופיות)
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"""
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@@ -11,23 +11,12 @@ import logging
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import re
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from uuid import UUID
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import anthropic
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from legal_mcp import config
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from legal_mcp.config import parse_llm_json
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from legal_mcp.services import db
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from legal_mcp.services import db, claude_session
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logger = logging.getLogger(__name__)
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_anthropic_client: anthropic.Anthropic | None = None
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def _get_anthropic() -> anthropic.Anthropic:
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global _anthropic_client
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if _anthropic_client is None:
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_anthropic_client = anthropic.Anthropic(api_key=config.ANTHROPIC_API_KEY)
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return _anthropic_client
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EXTRACT_CLAIMS_PROMPT = """אתה מנתח מסמכים משפטיים בתחום תכנון ובניה. תפקידך לחלץ טענות מכתב טענות.
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@@ -93,27 +82,15 @@ async def extract_claims_with_ai(
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chunks = [text]
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all_claims = []
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client = _get_anthropic()
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for i, chunk in enumerate(chunks):
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chunk_label = f" (חלק {i+1}/{len(chunks)})" if len(chunks) > 1 else ""
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message = client.messages.create(
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model="claude-sonnet-4-20250514",
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max_tokens=8192,
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messages=[
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{
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"role": "user",
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"content": (
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f"{EXTRACT_CLAIMS_PROMPT}\n\n"
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f"{context}{chunk_label}\n\n"
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f"--- תחילת מסמך ---\n{chunk}\n--- סוף מסמך ---"
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),
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}
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],
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prompt = (
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f"{EXTRACT_CLAIMS_PROMPT}\n\n"
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f"{context}{chunk_label}\n\n"
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f"--- תחילת מסמך ---\n{chunk}\n--- סוף מסמך ---"
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)
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raw = message.content[0].text.strip()
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claims = parse_llm_json(raw)
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claims = claude_session.query_json(prompt, timeout=120)
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if claims is None:
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logger.warning("Failed to parse claims for chunk %d: %s", i, raw[:200])
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continue
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