feat(ai): 页面可配置云端或本地 OpenAI 兼容模型

- 新增 AIConfig 模型（每组织一份，迁移 0005）与 /api/ai-config、 /api/ai-models 接口；密钥只存后端、读取脱敏、修改记审计 - 支持 OpenAI 及本地 OpenAI 兼容服务（Ollama/LM Studio/vLLM），可从 /v1/models 一键获取模型列表多选一；数据库配置优先于环境变量 - 助手调用走生效配置，Copilot 文案同步更新 - 全权限管理员可在「管理 → AI 模型」配置；补接口级测试
2026-10-11 09:37:05 +08:00
13 changed files with 573 additions and 20 deletions
@@ -12,4 +12,5 @@ MAX_IMPORT_ROWS=1000000
 AI_ENABLED=0
 OPENAI_API_KEY=
 OPENAI_MODEL=
+OPENAI_BASE_URL=https://api.openai.com/v1
 VITE_AG_GRID_LICENSE_KEY=
@@ -119,7 +119,7 @@ REFERENCE_DATASET_NAME='分析数据_原稿(1).xlsx' npm run test:e2e

 ## AI 与跨平台

-默认 AI_ENABLED=0。启用外部模型需配置 `AI_ENABLED=1`、`OPENAI_API_KEY`、`OPENAI_MODEL`，并完成机构数据处理审批。密钥只在后端。用户自由输入的问题也可能含敏感信息，不能仅凭不发送原始行就认定无隐私风险。模型不能提交 SQL、修改金额或修改账号；输出只允许受控意图，异常/拒答关闭执行。
+默认 AI_ENABLED=0。启用外部模型有两种方式，数据库配置优先：全权限管理员在页面「管理 → AI 模型」配置服务商（OpenAI 或本地 OpenAI 兼容服务如 Ollama / LM Studio / vLLM）、Base URL、API Key 与模型，可从 `/v1/models` 一键获取本地服务模型列表多选一；或配置环境变量 `AI_ENABLED=1`、`OPENAI_API_KEY`、`OPENAI_MODEL`（可选 `OPENAI_BASE_URL`）。均需完成机构数据处理审批。密钥只在后端：读取接口不回传密钥原文，配置修改记入审计（不含密钥）。用户自由输入的问题也可能含敏感信息，不能仅凭不发送原始行就认定无隐私风险。模型不能提交 SQL、修改金额或修改账号；输出只允许受控意图，异常/拒答关闭执行。

 前端为标准 Web，API 无平台耦合，可由后续 PWA、Tauri 或 Capacitor 客户端复用。当前没有打包桌面/移动客户端，也不在浏览器离线缓存财务数据。

@@ -0,0 +1,149 @@
+"""AI 模型配置：每个组织可在页面配置 OpenAI 或本地 OpenAI 兼容服务（Ollama / LM Studio / vLLM 等）。
+
+数据库配置优先；未配置时回退到环境变量（AI_ENABLED / OPENAI_*），保持旧行为兼容。
+API Key 只存后端，读取接口只做脱敏回显，绝不把密钥下发到浏览器。
+"""
+
+import httpx
+from django.conf import settings
+from django.http import JsonResponse
+
+from .models import AIConfig
+from .views import APIError, audit, body, endpoint
+
+PROVIDERS = ("openai", "local")
+OPENAI_BASE_URL = "https://api.openai.com/v1"
+
+
+def require_full_admin(request):
+    if request.member.departments:
+        raise APIError("没有配置 AI 模型的权限", 403)
+
+
+def resolve(org):
+    """返回生效的 AI 配置字典；未启用或配置不完整时返回 None。"""
+    cfg = AIConfig.objects.filter(organization=org).first()
+    if cfg:
+        base_url = (cfg.base_url or "").rstrip("/") or (OPENAI_BASE_URL if cfg.provider == "openai" else "")
+        key_required = cfg.provider == "openai"
+        if not cfg.enabled or not base_url or not cfg.model or (key_required and not cfg.api_key):
+            return None
+        return {
+            "enabled": True,
+            "provider": cfg.provider,
+            "base_url": base_url,
+            "api_key": cfg.api_key,
+            "model": cfg.model,
+        }
+    if settings.AI_ENABLED and settings.OPENAI_API_KEY and settings.OPENAI_MODEL:
+        return {
+            "enabled": True,
+            "provider": "openai",
+            "base_url": (settings.OPENAI_BASE_URL or OPENAI_BASE_URL).rstrip("/"),
+            "api_key": settings.OPENAI_API_KEY,
+            "model": settings.OPENAI_MODEL,
+        }
+    return None
+
+
+def org_models_endpoint(org):
+    """组织配置或环境回退的 base_url/api_key，用于探测模型列表。"""
+    cfg = AIConfig.objects.filter(organization=org).first()
+    if cfg:
+        base_url = (cfg.base_url or "").rstrip("/") or (OPENAI_BASE_URL if cfg.provider == "openai" else "")
+        return base_url, cfg.api_key
+    return (settings.OPENAI_BASE_URL or OPENAI_BASE_URL).rstrip("/"), settings.OPENAI_API_KEY
+
+
+@endpoint(("GET", "PUT"), roles=("admin",))
+def ai_config(request):
+    require_full_admin(request)
+    org = request.member.organization
+    if request.method == "GET":
+        cfg = AIConfig.objects.filter(organization=org).first()
+        return JsonResponse(
+            {
+                "enabled": cfg.enabled if cfg else False,
+                "provider": cfg.provider if cfg else "local",
+                "base_url": cfg.base_url if cfg else "",
+                "model": cfg.model if cfg else "",
+                "api_key_set": bool(cfg and cfg.api_key),
+                "updated_at": cfg.updated_at.isoformat() if cfg else None,
+            }
+        )
+    data = body(request)
+    enabled = data.get("enabled")
+    provider = data.get("provider")
+    base_url = data.get("base_url", "")
+    api_key = data.get("api_key", "")
+    model = data.get("model", "")
+    if type(enabled) is not bool or provider not in PROVIDERS:
+        raise APIError("AI 配置参数无效")
+    if not isinstance(base_url, str) or len(base_url) > 500:
+        raise APIError("Base URL 无效")
+    base_url = base_url.rstrip("/")
+    if base_url and not base_url.startswith(("http://", "https://")):
+        raise APIError("Base URL 必须以 http:// 或 https:// 开头")
+    if not isinstance(api_key, str) or len(api_key) > 500:
+        raise APIError("API Key 无效")
+    if not isinstance(model, str) or len(model) > 200:
+        raise APIError("模型名无效")
+    cfg = AIConfig.objects.filter(organization=org).first()
+    if enabled:
+        if provider == "local" and not base_url:
+            raise APIError("本地服务需要填写 Base URL，例如 http://127.0.0.1:11434/v1")
+        if provider == "openai" and not (api_key or (cfg and cfg.api_key)):
+            raise APIError("OpenAI 服务需要 API Key")
+        if not model:
+            raise APIError("启用前需要填写模型名，可点击“获取可用模型”选择")
+    key_changed = bool(api_key)
+    defaults = {
+        "enabled": enabled,
+        "provider": provider,
+        "base_url": base_url,
+        "model": model,
+    }
+    if api_key:
+        defaults["api_key"] = api_key
+    if not cfg:
+        AIConfig.objects.create(organization=org, **defaults)
+    else:
+        for field, value in defaults.items():
+            setattr(cfg, field, value)
+        cfg.save()
+    audit(
+        request,
+        "ai_config.update",
+        details={
+            "provider": provider,
+            "model": model,
+            "enabled": enabled,
+            "key_changed": key_changed,
+        },
+    )
+    return JsonResponse({"ok": True})
+
+
+@endpoint(roles=("admin",))
+def ai_models(request):
+    require_full_admin(request)
+    base_url, api_key = org_models_endpoint(request.member.organization)
+    if not base_url:
+        raise APIError("请先保存 Base URL 再获取模型列表", 400)
+    headers = {"Authorization": f"Bearer {api_key}"} if api_key else {}
+    try:
+        with httpx.Client(timeout=10) as client:
+            response = client.get(f"{base_url}/models", headers=headers)
+            response.raise_for_status()
+            data = response.json()
+        items = data.get("data", [])
+        ids = [m.get("id") for m in items if isinstance(m, dict) and isinstance(m.get("id"), str)]
+        if not ids and isinstance(data.get("models"), list):
+            ids = [
+                m.get("name")
+                for m in data["models"]
+                if isinstance(m, dict) and isinstance(m.get("name"), str)
+            ]
+        return JsonResponse({"items": ids[:200]})
+    except (httpx.HTTPError, ValueError, AttributeError) as exc:
+        raise APIError("无法从该服务获取模型列表，请检查 Base URL 与 API Key", 502) from exc
@@ -1,14 +1,17 @@
 import json

 import httpx
-from django.conf import settings
 from django.http import JsonResponse

+from .ai import resolve
 from .analysis import METRICS, analyze, context, dimensions
 from .views import APIError, audit, body, dataset, endpoint, limit, preferences


-def model_intent(question, ds, ctx):
+def model_intent(question, ds, ctx, cfg=None):
+    cfg = cfg or resolve(ds.organization)
+    if not cfg:
+        raise APIError("尚未配置外部 AI 服务", 503)
    keys = [d["key"] for d in dimensions(ds)]
    schema = {
        "type": "object",
@@ -31,7 +34,7 @@ def model_intent(question, ds, ctx):
    }
    # Only schema, selected context and the user's question leave the server; never raw rows.
    payload = {
-        "model": settings.OPENAI_MODEL,
+        "model": cfg["model"],
        "store": False,
        "max_output_tokens": 1200,
        "input": [
@@ -55,8 +58,8 @@ def model_intent(question, ds, ctx):
    try:
        with httpx.Client(timeout=30) as client:
            response = client.post(
-                "https://api.openai.com/v1/responses",
-                headers={"Authorization": f"Bearer {settings.OPENAI_API_KEY}"},
+                f"{cfg['base_url']}/responses",
+                headers={"Authorization": f"Bearer {cfg['api_key']}"} if cfg["api_key"] else {},
                json=payload,
            )
            response.raise_for_status()
@@ -107,12 +110,15 @@ def assistant(request, dataset_id):
    use_model = data.get("use_model", False)
    if type(use_model) is not bool:
        raise APIError("AI 模式必须为布尔值")
+    provider = "local"
    if use_model:
-        if not (settings.AI_ENABLED and settings.OPENAI_API_KEY and settings.OPENAI_MODEL):
-            raise APIError("尚未配置外部 AI 服务", 503)
+        cfg = resolve(request.member.organization)
+        if not cfg:
+            raise APIError("尚未配置外部 AI 服务；请管理员在「AI 模型」中配置", 503)
        if data.get("consent") is not True:
            raise APIError("请先同意发送问题与当前筛选上下文", 400)
-        intent = model_intent(question, ds, ctx)
+        provider = cfg["provider"]
+        intent = model_intent(question, ds, ctx, cfg)
    else:
        action = (
            "evidence"
@@ -140,21 +146,19 @@ def assistant(request, dataset_id):
    else:
        change = value["change"]
        change_text = f"{change:+.1%}" if change is not None else "不可计算（基期为零或数据缺失）"
-        answer = f"当前范围{METRICS[metric]}为 {value['current']:,.4f}，较基期变化 {change_text}。按当前规则识别出 {result['anomaly_count']} 个异常分组。"
+        answer = f"当前范围{METRICS[metric]}为 {value['current']:,.2f}，较基期变化 {change_text}。按当前规则识别出 {result['anomaly_count']} 个异常分组。"
        candidates = [r for r in result["rows"] if r["anomaly"]][:3]
        if candidates:
            answer += " 优先核查：" + "、".join(r["label"] for r in candidates) + "。"
        answer += " 这是数据贡献分解，不是因果结论。"
-    audit(
-        request, "assistant.query", ds.pk, {"provider": "openai" if use_model else "local", "intent": intent}
-    )
+    audit(request, "assistant.query", ds.pk, {"provider": provider, "intent": intent})
    return JsonResponse(
        {
            "answer": answer,
            "intent": intent,
            "context": result["context"],
            "version": ds.sha256,
-            "provider": "openai" if use_model else "local",
+            "provider": provider,
            "evidence": [
                {"label": r["label"], "filters": r["filters"], "values": r["values"][metric]}
                for r in result["rows"][:5]
@@ -0,0 +1,43 @@
+# Generated by Django 5.2.17 on 2026-09-26 13:56
+
+import django.db.models.deletion
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+    dependencies = [
+        ("finance", "0004_formuladefinition"),
+    ]
+
+    operations = [
+        migrations.CreateModel(
+            name="AIConfig",
+            fields=[
+                (
+                    "id",
+                    models.BigAutoField(
+                        auto_created=True, primary_key=True, serialize=False, verbose_name="ID"
+                    ),
+                ),
+                ("enabled", models.BooleanField(default=False)),
+                (
+                    "provider",
+                    models.CharField(
+                        choices=[("openai", "OpenAI"), ("local", "本地 OpenAI 兼容服务")],
+                        default="local",
+                        max_length=16,
+                    ),
+                ),
+                ("base_url", models.CharField(blank=True, max_length=500)),
+                ("api_key", models.CharField(blank=True, max_length=500)),
+                ("model", models.CharField(blank=True, max_length=200)),
+                ("updated_at", models.DateTimeField(auto_now=True)),
+                (
+                    "organization",
+                    models.OneToOneField(
+                        on_delete=django.db.models.deletion.CASCADE, to="finance.organization"
+                    ),
+                ),
+            ],
+        ),
+    ]
@@ -92,6 +92,18 @@ class Audit(models.Model):
    created_at = models.DateTimeField(auto_now_add=True)


+class AIConfig(models.Model):
+    organization = models.OneToOneField(Organization, on_delete=models.CASCADE)
+    enabled = models.BooleanField(default=False)
+    provider = models.CharField(
+        max_length=16, choices=[("openai", "OpenAI"), ("local", "本地 OpenAI 兼容服务")], default="local"
+    )
+    base_url = models.CharField(max_length=500, blank=True)
+    api_key = models.CharField(max_length=500, blank=True)
+    model = models.CharField(max_length=200, blank=True)
+    updated_at = models.DateTimeField(auto_now=True)
+
+
 class Throttle(models.Model):
    key = models.CharField(max_length=64, primary_key=True)
    count = models.PositiveIntegerField(default=0)
@@ -24,7 +24,7 @@ from openpyxl.cell import WriteOnlyCell

 from .analysis import METRICS, analyze, context, default_preferences, dimensions, scoped_facts
 from .importing import file_digest, profile_file, suggest_mapping, validate_mapping
-from .models import Audit, Dataset, Investigation, Membership, Preference, Throttle
+from .models import AIConfig, Audit, Dataset, Investigation, Membership, Preference, Throttle


 class APIError(Exception):
@@ -130,10 +130,20 @@ def serialize_dataset(ds, detailed=False, restricted=False, raw_access=True):

@endpoint(public=True)
 def session(request):
+    ai_enabled = settings.AI_ENABLED and bool(settings.OPENAI_API_KEY and settings.OPENAI_MODEL)
+    if request.user.is_authenticated:
+        try:
+            cfg = AIConfig.objects.filter(organization=request.user.membership.organization).first()
+            if cfg:
+                ai_enabled = (
+                    cfg.enabled and bool(cfg.model) and (cfg.provider == "local" or bool(cfg.api_key))
+                )
+        except Membership.DoesNotExist:
+            pass
    data = {
        "csrf": get_token(request),
        "user": None,
-        "ai_enabled": settings.AI_ENABLED and bool(settings.OPENAI_API_KEY and settings.OPENAI_MODEL),
+        "ai_enabled": ai_enabled,
    }
    if request.user.is_authenticated:
        try:
@@ -13,6 +13,7 @@ import {
  Bell,
  BookOpen,
  ChevronRight,
+  Cpu,
  Database,
  Download,
  Eye,
@@ -33,6 +34,7 @@ import { api, download, setCsrf } from "./api";
 import { Chart } from "./Chart";
 import {
  AdminDialog,
+  AIConfigDialog,
  FormulaExportDialog,
  Copilot,
  EvidenceDialog,
@@ -83,6 +85,7 @@ export function App() {
      | "dictionary"
      | "users"
      | "audit"
+      | "ai"
      | null
      | "formula"
    >(null),
@@ -543,6 +546,10 @@ export function App() {
                <ShieldCheck />
                操作审计
              </button>
+              <button onClick={() => setModal("ai")}>
+                <Cpu />
+                AI 模型
+              </button>
            </>
          )}
        </nav>
@@ -1476,6 +1483,7 @@ export function App() {
      {(modal === "users" || modal === "audit") && (
        <AdminDialog mode={modal} onClose={() => setModal(null)} />
      )}
+      {modal === "ai" && <AIConfigDialog onClose={() => setModal(null)} />}
    </div>
  );
 }
@@ -3,6 +3,7 @@ import { ChevronLeft, ChevronRight, Download, Save, Trash2, X } from "lucide-rea
 import { api } from "./api";
 import {
  labels,
+  type AIConfig,
  type Context,
  type Dataset,
  type Metric,
@@ -471,6 +472,153 @@ export function EvidenceDialog({
  );
 }

+export function AIConfigDialog({ onClose }: { onClose: () => void }) {
+  const [value, setValue] = useState<AIConfig>({
+      enabled: false,
+      provider: "local",
+      base_url: "",
+      model: "",
+      api_key_set: false,
+      updated_at: null,
+    }),
+    [key, setKey] = useState(""),
+    [models, setModels] = useState<string[]>([]),
+    [error, setError] = useState(""),
+    [busy, setBusy] = useState(false),
+    [listing, setListing] = useState(false);
+  useEffect(() => {
+    api<AIConfig>("/ai-config")
+      .then((r) => setValue(r))
+      .catch((e) => setError((e as Error).message));
+  }, []);
+  async function fetchModels() {
+    setListing(true);
+    setError("");
+    try {
+      const r = await api<{ items: string[] }>("/ai-models");
+      setModels(r.items);
+      if (!r.items.length) setError("该服务没有返回可用模型");
+    } catch (e) {
+      setError((e as Error).message);
+    } finally {
+      setListing(false);
+    }
+  }
+  async function save() {
+    setBusy(true);
+    setError("");
+    try {
+      await api("/ai-config", "PUT", {
+        enabled: value.enabled,
+        provider: value.provider,
+        base_url: value.base_url,
+        model: value.model,
+        api_key: key,
+      });
+      setKey("");
+      setValue((v) => ({ ...v, api_key_set: v.api_key_set || Boolean(key) }));
+      if (value.base_url) await fetchModels();
+    } catch (e) {
+      setError((e as Error).message);
+    } finally {
+      setBusy(false);
+    }
+  }
+  return (
+    <Modal title="AI 模型配置" onClose={onClose} wide>
+      <div className="dialog-body">
+        <p className="muted">
+          配置财务分析助手使用的模型服务。数据库配置优先；未配置时回退到部署环境变量。
+        </p>
+        <label className="check">
+          <input
+            type="checkbox"
+            checked={value.enabled}
+            onChange={(e) => setValue({ ...value, enabled: e.target.checked })}
+          />
+          启用 AI 模型理解问题
+        </label>
+        <label>
+          服务商
+          <select
+            value={value.provider}
+            onChange={(e) =>
+              setValue({
+                ...value,
+                provider: e.target.value as AIConfig["provider"],
+              })
+            }
+          >
+            <option value="openai">OpenAI</option>
+            <option value="local">
+              本地 OpenAI 兼容服务（Ollama / LM Studio / vLLM）
+            </option>
+          </select>
+        </label>
+        <label>
+          Base URL
+          <input
+            value={value.base_url}
+            placeholder={
+              value.provider === "local"
+                ? "http://127.0.0.1:11434/v1"
+                : "https://api.openai.com/v1"
+            }
+            onChange={(e) => setValue({ ...value, base_url: e.target.value })}
+          />
+        </label>
+        <label>
+          API Key
+          <input
+            type="password"
+            value={key}
+            placeholder={
+              value.api_key_set ? "已配置，留空保持不变" : "本地服务通常可留空"
+            }
+            onChange={(e) => setKey(e.target.value)}
+          />
+        </label>
+        <label>
+          模型
+          <input
+            list="ai-model-list"
+            value={value.model}
+            placeholder="模型名，如 qwen2.5:7b"
+            onChange={(e) => setValue({ ...value, model: e.target.value })}
+          />
+          <datalist id="ai-model-list">
+            {models.map((m) => (
+              <option key={m} value={m} />
+            ))}
+          </datalist>
+        </label>
+        <footer>
+          <button onClick={onClose}>取消</button>
+          <button
+            type="button"
+            disabled={listing || busy}
+            onClick={fetchModels}
+          >
+            {listing ? "获取中…" : "获取可用模型"}
+          </button>
+          <button className="primary" disabled={busy} onClick={save}>
+            {busy ? "保存中…" : "保存配置"}
+          </button>
+        </footer>
+        {error && (
+          <p role="alert" className="error">
+            {error}
+          </p>
+        )}
+        <p className="muted">
+          只向模型服务发送问题与维度/当前筛选，原始数据行不出服务器；密钥仅保存在后端，
+          配置修改会记入操作审计。
+        </p>
+      </div>
+    </Modal>
+  );
+}
+
 export function Copilot({
  ds,
  ctx,
@@ -550,7 +698,7 @@ export function Copilot({
                checked={useModel}
                onChange={(e) => setUseModel(e.target.checked)}
              />
-              使用外部 AI 理解问题
+              使用已配置的 AI 模型理解问题
            </label>
            {useModel && (
              <label className="check">
@@ -107,15 +107,23 @@ export interface Analysis {
    current: string[];
    baseline: string[];
  };
-  summary: Record<Metric, Value>;
+  summary: Record<string, Value>;
  rows: Row[];
-  trend: ({ period: string } & Record<Metric, Numeric>)[];
+  trend: ({ period: string } & Record<string, Numeric>)[];
  row_count: number;
  anomaly_count: number;
  comparable: boolean;
  notice: string;
  version: string;
 }
+export interface AIConfig {
+  enabled: boolean;
+  provider: "openai" | "local";
+  base_url: string;
+  model: string;
+  api_key_set: boolean;
+  updated_at: string | null;
+}
 export interface Session {
  csrf: string;
  user: {
@@ -93,6 +93,7 @@ MAX_UPLOAD_BYTES = int(os.environ.get("MAX_UPLOAD_BYTES", 64 * 1024 * 1024))
 MAX_IMPORT_ROWS = int(os.environ.get("MAX_IMPORT_ROWS", 1000000))
 OPENAI_API_KEY = os.environ.get("OPENAI_API_KEY", "")
 OPENAI_MODEL = os.environ.get("OPENAI_MODEL", "")
+OPENAI_BASE_URL = os.environ.get("OPENAI_BASE_URL", "https://api.openai.com/v1")
 AI_ENABLED = os.environ.get("AI_ENABLED", "0") == "1"
 LOGGING = {
    "version": 1,
@@ -1,6 +1,7 @@
 from django.urls import path

 from finance import formula_views, views
+from finance.ai import ai_config, ai_models
 from finance.assistant import assistant

 urlpatterns = [
@@ -11,6 +12,8 @@ urlpatterns = [
    path("api/datasets", views.datasets),
    path("api/users", views.users),
    path("api/audit", views.audit_log),
+    path("api/ai-config", ai_config),
+    path("api/ai-models", ai_models),
    path("api/datasets/<uuid:dataset_id>", views.dataset_detail),
    path("api/datasets/<uuid:dataset_id>/mapping", views.mapping),
    path("api/datasets/<uuid:dataset_id>/query", views.query),
@@ -1,17 +1,182 @@
 import json
 from unittest.mock import patch

+import httpx
 import pytest
+from django.contrib.auth.models import User
 from django.test import Client

 from finance.assistant import model_intent
-from finance.models import Audit, FormulaDefinition, FormulaExport, Membership
+from finance.models import AIConfig, Audit, FormulaDefinition, FormulaExport, Membership

 pytestmark = pytest.mark.django_db


+def completed_response(intent=None):
+    class Response:
+        def raise_for_status(self):
+            return None
+
+        def json(self):
+            return {
+                "status": "completed",
+                "output": [
+                    {
+                        "content": [
+                            {
+                                "type": "output_text",
+                                "text": json.dumps(
+                                    intent
+                                    or {
+                                        "action": "overview",
+                                        "metric": "revenue",
+                                        "group": "department",
+                                        "filters": [{"key": "department", "value": "儿科"}],
+                                    }
+                                ),
+                            }
+                        ]
+                    }
+                ],
+            }
+
+    return Response()
+
+
+def test_ai_config_requires_full_admin_and_masks_key(workspace):
+    ds, member, client, _, _ = workspace
+    url = "/api/ai-config"
+
+    viewer = User.objects.create_user("ai-viewer", password="Finance-TestPassword991!")
+    Membership.objects.create(user=viewer, organization=ds.organization, role="viewer")
+    viewer_client = Client()
+    assert viewer_client.login(username="ai-viewer", password="Finance-TestPassword991!")
+    assert viewer_client.get(url).status_code == 403
+
+    member.departments = ["儿科"]
+    member.save(update_fields=["departments"])
+    scoped = Client()
+    assert scoped.login(username=member.user.username, password="Finance-TestPassword991!")
+    assert scoped.get(url).status_code == 403
+    member.departments = []
+    member.save(update_fields=["departments"])
+
+    assert client.get(url).json() == {
+        "enabled": False,
+        "provider": "local",
+        "base_url": "",
+        "model": "",
+        "api_key_set": False,
+        "updated_at": None,
+    }
+
+    invalid = [
+        {"enabled": True, "provider": "local", "base_url": "", "model": "qwen2.5:7b"},
+        {"enabled": True, "provider": "openai", "base_url": "", "model": "gpt-4o"},
+        {"enabled": True, "provider": "local", "base_url": "ftp://x", "model": "m"},
+        {"enabled": True, "provider": "local", "base_url": "http://x/v1", "model": ""},
+    ]
+    for payload in invalid:
+        assert client.put(url, data=payload, content_type="application/json").status_code == 400
+
+    saved = client.put(
+        url,
+        data={
+            "enabled": True,
+            "provider": "local",
+            "base_url": "http://127.0.0.1:11434/v1",
+            "api_key": "ollama-secret",
+            "model": "qwen2.5:7b",
+        },
+        content_type="application/json",
+    )
+    assert saved.status_code == 200
+    shown = client.get(url).json()
+    assert shown["api_key_set"] is True
+    assert shown["enabled"] is True and shown["provider"] == "local"
+    assert "ollama-secret" not in json.dumps(shown)
+    assert client.get("/api/session").json()["ai_enabled"] is True
+    assert Audit.objects.filter(action="ai_config.update").exists()
+
+
+def test_ai_models_lists_local_models(workspace):
+    ds, _, client, _, _ = workspace
+    client.put(
+        "/api/ai-config",
+        data={
+            "enabled": False,
+            "provider": "local",
+            "base_url": "http://127.0.0.1:11434/v1",
+            "model": "",
+        },
+        content_type="application/json",
+    )
+    with patch("finance.ai.httpx.Client") as http:
+        http.return_value.__enter__.return_value.get.return_value = type(
+            "Response",
+            (),
+            {
+                "raise_for_status": lambda self: None,
+                "json": lambda self: {"data": [{"id": "qwen2.5:7b"}, {"id": "llama3.1:8b"}]},
+            },
+        )()
+        listed = client.get("/api/ai-models")
+    assert listed.status_code == 200
+    assert listed.json()["items"] == ["qwen2.5:7b", "llama3.1:8b"]
+    call = http.return_value.__enter__.return_value.get.call_args
+    assert call.args[0] == "http://127.0.0.1:11434/v1/models"
+
+    with patch("finance.ai.httpx.Client") as http:
+        http.return_value.__enter__.return_value.get.side_effect = httpx.ConnectError("boom")
+        failed = client.get("/api/ai-models")
+    assert failed.status_code == 502
+
+
+def test_assistant_uses_org_db_config(workspace):
+    ds, _, client, *_ = workspace
+    client.put(
+        "/api/ai-config",
+        data={
+            "enabled": True,
+            "provider": "local",
+            "base_url": "http://127.0.0.1:11434/v1",
+            "model": "qwen2.5:7b",
+        },
+        content_type="application/json",
+    )
+    with patch("finance.assistant.httpx.Client") as http:
+        http.return_value.__enter__.return_value.post.return_value = completed_response()
+        response = client.post(
+            f"/api/datasets/{ds.pk}/assistant",
+            data={
+                "question": "分析儿科收入",
+                "context": {"start": "2026-08", "end": "2026-08", "comparison": "yoy", "group": "department"},
+                "use_model": True,
+                "consent": True,
+            },
+            content_type="application/json",
+        )
+    assert response.status_code == 200
+    assert response.json()["provider"] == "local"
+    call = http.return_value.__enter__.return_value.post.call_args
+    assert call.args[0] == "http://127.0.0.1:11434/v1/responses"
+    assert call.kwargs["json"]["model"] == "qwen2.5:7b"
+    assert "Authorization" not in call.kwargs["headers"]
+
+    disabled = AIConfig.objects.get(organization=ds.organization)
+    disabled.enabled = False
+    disabled.save(update_fields=["enabled"])
+    denied = client.post(
+        f"/api/datasets/{ds.pk}/assistant",
+        data={"question": "分析儿科收入", "use_model": True, "consent": True},
+        content_type="application/json",
+    )
+    assert denied.status_code == 503
+
+
 def test_model_intent_accepts_only_valid_dimensions_and_sends_no_rows(workspace, settings):
    ds, _, _, _, _ = workspace
+    settings.AI_ENABLED = True
    settings.OPENAI_MODEL = "test-model"
    settings.OPENAI_API_KEY = "test-key"

@@ -58,6 +223,7 @@ def test_model_intent_accepts_only_valid_dimensions_and_sends_no_rows(workspace,

 def test_model_intent_rejects_unknown_filter_and_incomplete_provider_response(workspace, settings):
    ds, *_ = workspace
+    settings.AI_ENABLED = True
    settings.OPENAI_MODEL = "test-model"
    settings.OPENAI_API_KEY = "test-key"