fix(im_llm): 代理绕过Docker内部hostname

backend/python/app/api/bug_audit.py

@@ -0,0 +1,86 @@
+"""Bug-audit endpoint for runtime regression checks."""
+from fastapi import APIRouter, Depends
+from sqlalchemy.orm import Session
+from sqlalchemy import text
+from app.database import get_db
+from app.models import SiteSetting, AIModel
+from app.capability_registry import CAPABILITY_TYPES, get_capability_defaults, resolve_auto_model
+import logging
+
+logger = logging.getLogger(__name__)
+
+router = APIRouter()
+
+@router.get("/bug-audit")
+def bug_audit(db: Session = Depends(get_db)):
+    """
+    Runtime self-check: 验证平台大模型路由/能力配置的关键不变量。
+    用于发现重复 bug（比如「已修复又出现」）。
+    """
+    issues = []
+    warnings = []
+    checks = []
+
+    # Check 1: 文本类能力(text/thinking) 必须指向启用的非图像/视频模型
+    TEXT_FAMILY = {"text", "thinking", "vision", "tool"}
+    defaults = get_capability_defaults(db)
+    for cap in ("text", "thinking"):
+        mid = defaults.get(cap)
+        if not mid:
+            issues.append(f"{cap}: site_settings.model_capability_defaults 未设置")
+            continue
+        m = db.query(AIModel).filter(AIModel.id == mid, AIModel.is_enabled == True).first()
+        if not m:
+            issues.append(f"{cap}: 指向的模型 {mid} 不存在或已禁用")
+            continue
+        caps = [c.lower() for c in (m.capabilities or [])]
+        if not ("text" in caps or "thinking" in caps):
+            issues.append(f"{cap}: 指向的 {m.name} 没有 text/thinking 能力 (caps={caps})")
+        if "image" in caps or "video" in caps:
+            warnings.append(f"{cap}: 默认模型 {m.name} 含 image/video 能力 (普通多轮对话可能误判)")
+        checks.append(f"{cap} -> {m.name} (caps={caps})")
+
+    # Check 2: 必须有 is_default=true 的模型
+    default_model = db.query(AIModel).filter(AIModel.is_default == True, AIModel.is_enabled == True).first()
+    if not default_model:
+        issues.append("没有任何 is_default=true 且启用的模型")
+    else:
+        checks.append(f"is_default -> {default_model.name}")
+
+    # Check 3: 所有 enabled 的 chat 模型都应该能正常 resolve
+    for cap in ("text", "image", "video", "audio", "embedding", "rerank", "asr", "ocr"):
+        m = resolve_auto_model(cap, db)
+        if m:
+            checks.append(f"resolve_auto_model({cap}) -> {m.name}")
+        else:
+            warnings.append(f"resolve_auto_model({cap}) 返回 None (该能力无默认模型)")
+
+    # Check 4: detect_media_intent 单元自检（用经典样本）
+    from app.api.chat_media import detect_media_intent
+    test_cases = [
+        ("平台有哪些技能能", None),  # 普通文字
+        ("你好", None),  # 普通问候
+        ("画一只小猫", "image"),  # 明确图像
+        ("生成一个视频介绍", "video"),  # 明确视频
+        ("今天天气如何？", None),  # 疑问句
+    ]
+    for text_in, expected in test_cases:
+        result = detect_media_intent(text_in)
+        if result != expected:
+            issues.append(f"detect_media_intent({text_in!r})={result!r} 期望 {expected!r}")
+        else:
+            checks.append(f"detect_media_intent({text_in!r})={result!r} ✓")
+
+    # 汇总
+    healthy = len(issues) == 0
+    return {
+        "healthy": healthy,
+        "issues": issues,
+        "warnings": warnings,
+        "checks": checks,
+        "summary": {
+            "total_checks": len(checks),
+            "issues": len(issues),
+            "warnings": len(warnings),
+        }
+    }