Files
Conflict_Checker/backend/agents/conflict_critic.py
T
woogiandCursor 82a48d99cf Add scoped Agent-mode pipeline as experimental Classic fork.
Wire specialist waves, Brain consolidation, and Classic-compatible reports so Agent mode can run end-to-end via OpenRouter without changing the default Classic path.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-07-18 14:31:13 +00:00

75 lines
3.0 KiB
Python

"""Per-cluster conflict critics with hard evidence and image caps."""
from typing import Dict, List
from backend import config
from backend.agents.base import AgentResult, AgentScope, AgentUsage, failure
from backend.llm import call_json
from backend.pipeline.conflict_checker import _evidence_block, _valid_conflict
from backend.prompts import CONFLICT_SYSTEM_PROMPT, CONFLICT_USER_INSTRUCTION
def _as_finding(conflict: Dict, scope_id: str) -> Dict:
return {
"issue_id": conflict.get("conflict_id") or "",
"source_stage": "conflict",
"category": conflict.get("category") or "uncategorized",
"severity": conflict.get("severity") or "medium",
"confidence": conflict.get("confidence") or "medium",
"location": conflict.get("location") or "",
"disciplines": conflict.get("disciplines") or [],
"sheets": conflict.get("sheets") or [],
"description": conflict.get("description") or "",
"evidence": conflict.get("evidence") or [],
"recommended_resolution": conflict.get("recommended_resolution") or "",
"code_reference": None,
"agent": "conflict_critic",
"scope_id": scope_id,
}
class ConflictCriticAgent:
name = "conflict_critic"
def __init__(self, usage: AgentUsage) -> None:
self.usage = usage
def run(self, scope: AgentScope) -> AgentResult:
try:
cluster = dict(scope.payload["cluster"])
cluster["assertions"] = (
cluster.get("assertions") or []
)[:config.AGENT_CLUSTER_MAX_ASSERTIONS]
page_to_b64: Dict[int, str] = scope.payload.get("page_to_b64") or {}
images: List[str] = []
for page_number in (
cluster.get("page_numbers") or []
)[:config.AGENT_CONFLICT_MAX_IMAGES]:
if page_to_b64.get(page_number):
images.append(page_to_b64[page_number])
instruction = (
CONFLICT_USER_INSTRUCTION
.replace("{location}", cluster.get("location") or "")
.replace("{evidence}", _evidence_block(cluster))
)
parsed = call_json(
system_prompt=CONFLICT_SYSTEM_PROMPT,
user_text=instruction,
images_b64=images,
max_tokens=config.REASON_MAX_TOKENS,
model=config.AGENT_CONFLICT_MODEL,
usage_tracker=self.usage,
usage_stage="agent.conflict",
)
candidates = parsed if isinstance(parsed, list) else (
parsed.get("conflicts") if isinstance(parsed, dict) else []
)
findings = []
for candidate in candidates or []:
conflict = _valid_conflict(candidate, cluster)
if conflict:
findings.append(_as_finding(conflict, scope.scope_id))
return AgentResult(scope_id=scope.scope_id, artifacts=findings)
except Exception as exc:
return failure(scope, exc)