"""Claude adapter stub.
Your programmer should replace this with the Anthropic Claude SDK / Agent SDK calls.
The engine expects a Python dict that matches schemas/universal_reasoning_schema.json.
Tip: enforce JSON-only output using the SDK's structured output / JSON mode (if available)
or by prompting + strict parsing + retry.
"""
from __future__ import annotations
import json
from typing import Any, Dict, List
from .base import ReasoningLLM
class ClaudeLLMStub(ReasoningLLM):
def __init__(self):
pass
def generate(self, *, system: str, user: str, context_chunks: List[Dict[str, str]]) -> Dict[str, Any]:
# Placeholder deterministic output for wiring tests.
return {
"question": user,
"given_information": [c["text"][:180] for c in context_chunks],
"assumptions": ["Assumption: Only the provided context is authoritative for constraints."],
"reasoning_steps": [
"Identify constraints from retrieved context.",
"Apply constraints to the user question.",
"State limitations where facts are missing.",
],
"alternative_views": ["An alternative interpretation could exist depending on missing facts."],
"limitations": ["This is a stub output; replace with real Claude SDK calls.", "Insufficient case-specific facts were provided."],
"conclusion": "Stub conclusion. Replace with real Claude output.",
"confidence": 0.3,
}
def revise(self, *, system: str, user: str, context_chunks: List[Dict[str, str]], draft: Dict[str, Any], feedback: List[str]) -> Dict[str, Any]:
draft = dict(draft)
draft["limitations"] = list(draft.get("limitations", [])) + ["Revision requested: " + "; ".join(feedback)]
draft["confidence"] = min(float(draft.get("confidence", 0.3)), 0.5)
return draft
