feat(backend): v0.4 triggered_by tracking, login gate, compare guard, dashboard stats

- EvalRun.triggered_by 全链路（manual/ai_assistant/cli）+ 迁移 b7d4e6f81c22
- 标准 agenteval-run SKILL.md 纳入版本管理，deploy 脚本同步 + API Key 注入
- 简单登录：AGENTEVAL_ADMIN_PASSWORD + HMAC 会话 token，require_auth 双凭据
- 对比报告限同场景（400）+ 空 results 误判修复
- /api/stats/dashboard 扩展聚合；/api/runs 返回场景/对象名
- 测试 218 → 232

.env.example

@@ -6,6 +6,10 @@
 # In production, set a strong random token; clients must send it as X-API-Key.
 AGENTEVAL_API_KEY=
 
+# If set, the web UI requires login with this password (session-level, stored
+# in sessionStorage). Leave empty to disable the login gate (dev default).
+AGENTEVAL_ADMIN_PASSWORD=
+
 # Fernet key used to encrypt model API keys stored in SQLite.
 # Generate once with: python -c "from cryptography.fernet import Fernet; print(Fernet.generate_key().decode())"
 # Keep this value backed up with the database. Do not commit a real key.

backend/agenteval/config/settings.py

@@ -33,6 +33,13 @@ class Settings(BaseSettings):
         default=None,
         description="If set, all /api/* endpoints require the X-API-Key header to match.",
     )
+    admin_password: Optional[str] = Field(
+        default=None,
+        description=(
+            "If set, the web UI requires login with this password. "
+            "Leave empty to disable the login gate (dev default)."
+        ),
+    )
     secret_key: Optional[str] = Field(
         default=None,
         description="Fernet key used to encrypt model provider API keys at rest.",

backend/agenteval/evaluation/engine.py

@@ -24,6 +24,7 @@ from agenteval.models import (
     ModelPurpose,
     RuleLogic,
     RunStatus,
+    RunTrigger,
     Scenario,
     Turn,
 )
@@ -75,6 +76,7 @@ class EvalEngine:
         cancel_token: Optional[asyncio.Event] = None,
         timeout_config: Optional[TimeoutConfig] = None,
         max_concurrent_cases: int = 1,
+        triggered_by: RunTrigger = RunTrigger.MANUAL,
     ):
         self.target = target
         self.scenario = scenario
@@ -84,6 +86,7 @@ class EvalEngine:
         self.result_repo = result_repo or ResultRepository(self.session)
         self.cancel_token = cancel_token or asyncio.Event()
         self.timeout_config = timeout_config or TimeoutConfig()
+        self.triggered_by = triggered_by
         self._case_semaphore = asyncio.Semaphore(max(1, max_concurrent_cases))
         # Collects fatal case-level errors (e.g. dynamic message generation
         # failures) so their cause is persisted into run.summary — not just
@@ -116,6 +119,7 @@ class EvalEngine:
                 target_id=self.target.id or "",
                 scenario_id=self.scenario.id or "",
                 status=RunStatus.RUNNING,
+                triggered_by=self.triggered_by,
                 started_at=utc_now(),
             )
             run = self.run_repo.create(run)

backend/agenteval/evaluation/report.py

@@ -169,10 +169,15 @@ def generate_report(run_id: str, session=None) -> dict[str, Any]:
 
 
 def generate_compare_report(run_id_1: str, run_id_2: str, session=None) -> dict[str, Any]:
-    """Build a side-by-side comparison dict for two runs."""
+    """Build a side-by-side comparison dict for two runs of the same scenario."""
     report_a = generate_report(run_id_1, session)
     report_b = generate_report(run_id_2, session)
 
+    # Cross-scenario case_ids never overlap, so every case would be flagged
+    # "changed" and the diff would be meaningless — reject early.
+    if report_a.get("scenario_id") != report_b.get("scenario_id"):
+        raise ValueError("compare report requires both runs to use the same scenario")
+
     def _summary_delta(key: str) -> float:
         return report_b["summary"][key] - report_a["summary"][key]
 
@@ -189,7 +194,11 @@ def generate_compare_report(run_id_1: str, run_id_2: str, session=None) -> dict[
         def _case_passed(c):
             if not c:
                 return None
-            return all(r["passed"] for r in c.get("results", []))
+            results = c.get("results", [])
+            if not results:
+                # No rule results (e.g. errored case) must not count as passed.
+                return None
+            return all(r["passed"] for r in results)
 
         case_diffs.append(
             {

backend/agenteval/models.py

@@ -148,6 +148,12 @@ class RunStatus(str, Enum):
     FAILED = "failed"
 
 
+class RunTrigger(str, Enum):
+    MANUAL = "manual"
+    AI_ASSISTANT = "ai_assistant"
+    CLI = "cli"
+
+
 class EvalRun(BaseModel):
     """A single evaluation run."""
 
@@ -155,6 +161,7 @@ class EvalRun(BaseModel):
     target_id: str
     scenario_id: str
     status: RunStatus = RunStatus.PENDING
+    triggered_by: RunTrigger = RunTrigger.MANUAL
     started_at: Optional[datetime] = None
     completed_at: Optional[datetime] = None
     summary: Optional[dict[str, Any]] = None

backend/agenteval/storage/db.py

@@ -168,6 +168,7 @@ class EvalRunDB(SQLModel, table=True):
     target_id: Optional[str] = Field(default=None, foreign_key="eval_targets.id")
     scenario_id: Optional[str] = Field(default=None, foreign_key="scenarios.id")
     status: str = "pending"
+    triggered_by: str = Field(default="manual")
     started_at: Optional[datetime] = Field(default_factory=utc_now)
     completed_at: Optional[datetime] = None
     summary: Optional[str] = None

backend/agenteval/storage/repository.py

@@ -82,6 +82,7 @@ def _run_to_db(run: EvalRun) -> EvalRunDB:
         target_id=run.target_id,
         scenario_id=run.scenario_id,
         status=run.status.value,
+        triggered_by=run.triggered_by.value,
         started_at=run.started_at,
         completed_at=run.completed_at,
     )
@@ -96,6 +97,7 @@ def _run_from_db(db: EvalRunDB) -> EvalRun:
         target_id=db.target_id,
         scenario_id=db.scenario_id,
         status=db.status,
+        triggered_by=db.triggered_by or "manual",
         started_at=db.started_at,
         completed_at=db.completed_at,
         summary=db.get_summary(),

backend/agenteval/web/app.py

@@ -11,7 +11,7 @@ from agenteval.config import get_settings
 from agenteval.storage.db import init_db
 from agenteval.version import get_build_info, get_version
 from agenteval.web.deps import require_api_key
-from agenteval.web.routers import files, model_configs, proxy, reports, runs, scenarios, stats, targets
+from agenteval.web.routers import auth, files, model_configs, proxy, reports, runs, scenarios, stats, targets
 from agenteval.web.websocket import ws_manager
 
 
@@ -40,6 +40,8 @@ app.add_middleware(
 
 _api_deps = [Depends(require_api_key)]
 
+# Login endpoints must stay open — they are how the client obtains credentials.
+app.include_router(auth.router, prefix="/api/auth", tags=["auth"])
 app.include_router(targets.router, prefix="/api/targets", tags=["targets"], dependencies=_api_deps)
 app.include_router(scenarios.router, prefix="/api/scenarios", tags=["scenarios"], dependencies=_api_deps)
 app.include_router(runs.router, prefix="/api/runs", tags=["runs"], dependencies=_api_deps)

backend/agenteval/web/deps.py

@@ -21,21 +21,37 @@ def get_db():
         session.close()
 
 
-def require_api_key(x_api_key: Optional[str] = Header(default=None)) -> None:
-    """Enforce X-API-Key header when AGENTEVAL_API_KEY is configured.
+def require_auth(
+    x_api_key: Optional[str] = Header(default=None),
+    x_auth_token: Optional[str] = Header(default=None),
+) -> None:
+    """Enforce authentication when any credential is configured.
 
-    When the setting is empty (default), the check is a no-op so local dev keeps
-    working without extra configuration.
+    Accepted credentials (either one passes):
+      - X-API-Key matching AGENTEVAL_API_KEY (machine callers, OpenClaw skill)
+      - X-Auth-Token matching the web session token (browser after login)
+
+    When neither AGENTEVAL_API_KEY nor AGENTEVAL_ADMIN_PASSWORD is set, the
+    check is a no-op so local dev keeps working without extra configuration.
     """
-    configured = get_settings().api_key
-    if not configured:
+    settings = get_settings()
+    if not settings.api_key and not settings.admin_password:
+        return
+    if settings.api_key and x_api_key == settings.api_key:
+        return
+    if settings.admin_password:
+        from agenteval.web.routers.auth import verify_session_token
+
+        if x_auth_token and verify_session_token(x_auth_token):
             return
-    if not x_api_key or x_api_key != configured:
     raise HTTPException(
         status_code=status.HTTP_401_UNAUTHORIZED,
-            detail="Invalid or missing X-API-Key",
+        detail="Invalid or missing credentials",
     )
 
 
+# Backwards-compatible alias: existing routers depend on require_api_key.
+require_api_key = require_auth
+
 # Convenience alias used by routers via ``dependencies=[Depends(auth_required)]``.
-auth_required = Depends(require_api_key)
+auth_required = Depends(require_auth)

backend/agenteval/web/routers/auth.py

@@ -0,0 +1,52 @@
+"""Session login for the web UI.
+
+A single shared password (AGENTEVAL_ADMIN_PASSWORD) gates the SPA. On success
+the client receives a stateless HMAC token it sends as X-Auth-Token. Machine
+callers (e.g. the OpenClaw skill) keep using X-API-Key and are unaffected.
+"""
+
+import hmac
+import secrets
+
+from fastapi import APIRouter, Header, HTTPException, status
+from pydantic import BaseModel
+
+from agenteval.config import get_settings
+
+router = APIRouter()
+
+_TOKEN_CONTEXT = b"agenteval-web-session"
+
+
+def session_token() -> str:
+    """Derive the stateless session token from configured secrets."""
+    settings = get_settings()
+    key = (settings.secret_key or settings.admin_password or "").encode()
+    return hmac.new(key, _TOKEN_CONTEXT, "sha256").hexdigest()
+
+
+def verify_session_token(token: str) -> bool:
+    return bool(token) and hmac.compare_digest(token, session_token())
+
+
+class LoginRequest(BaseModel):
+    password: str
+
+
+@router.post("/login")
+def login(request: LoginRequest) -> dict:
+    configured = get_settings().admin_password
+    if not configured:
+        raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail="登录未启用")
+    if not secrets.compare_digest(request.password, configured):
+        raise HTTPException(status_code=status.HTTP_401_UNAUTHORIZED, detail="密码错误")
+    return {"token": session_token()}
+
+
+@router.get("/status")
+def auth_status(x_auth_token: str = Header(default="")) -> dict:
+    auth_required = bool(get_settings().admin_password)
+    return {
+        "auth_required": auth_required,
+        "authenticated": (not auth_required) or verify_session_token(x_auth_token),
+    }

backend/agenteval/web/routers/reports.py

@@ -23,10 +23,14 @@ def get_compare_report(
     session: Session = Depends(get_db),
 ) -> dict:
     repo = RunRepository(session)
-    if not repo.get(run1):
+    run_a = repo.get(run1)
+    run_b = repo.get(run2)
+    if not run_a:
         raise HTTPException(status_code=404, detail=f"run not found: {run1}")
-    if not repo.get(run2):
+    if not run_b:
         raise HTTPException(status_code=404, detail=f"run not found: {run2}")
+    if run_a.scenario_id != run_b.scenario_id:
+        raise HTTPException(status_code=400, detail="对比报告要求两个运行使用相同场景")
     return generate_compare_report(run1, run2, session)
 
 

backend/agenteval/web/routers/runs.py

@@ -8,7 +8,7 @@ from pydantic import BaseModel
 from sqlmodel import Session
 
 from agenteval.evaluation.engine import EvalEngine
-from agenteval.models import EvalRun, RunStatus
+from agenteval.models import EvalRun, RunStatus, RunTrigger
 from agenteval.storage.db import get_session, iso_utc
 from agenteval.storage.repository import RunRepository, ScenarioRepository, TargetRepository
 from agenteval.utils.llm import extract_reply_text
@@ -22,6 +22,7 @@ router = APIRouter()
 class StartRunRequest(BaseModel):
     target_id: str
     scenario_id: str
+    triggered_by: RunTrigger = RunTrigger.MANUAL
 
 
 # ── Task registry for live evaluation runs ─────────────────────────────
@@ -69,7 +70,16 @@ async def _run_evaluation(run_id: str, target_id: str, scenario_id: str) -> None
 
 @router.get("")
 async def list_runs(session: Session = Depends(get_db)) -> list[dict]:
-    return [r.model_dump() for r in RunRepository(session).list_all()]
+    scenario_names = {s.id: s.name for s in ScenarioRepository(session).list_all()}
+    target_names = {t.id: t.name for t in TargetRepository(session).list_all()}
+    return [
+        {
+            **r.model_dump(),
+            "scenario_name": scenario_names.get(r.scenario_id),
+            "target_name": target_names.get(r.target_id),
+        }
+        for r in RunRepository(session).list_all()
+    ]
 
 
 @router.post("")
@@ -82,7 +92,11 @@ async def start_run(
     if not target or not scenario:
         raise HTTPException(status_code=404, detail="target or scenario not found")
 
-    run = EvalRun(target_id=request.target_id, scenario_id=request.scenario_id)
+    run = EvalRun(
+        target_id=request.target_id,
+        scenario_id=request.scenario_id,
+        triggered_by=request.triggered_by,
+    )
     run = RunRepository(session).create(run)
 
     task = asyncio.create_task(

backend/agenteval/web/routers/stats.py

@@ -1,34 +1,93 @@
 """API routes for statistics and dashboard data."""
 
 from collections import defaultdict
+from datetime import datetime, timezone
 
 from fastapi import APIRouter, Depends
 from sqlmodel import Session
 
+from agenteval.storage.model_config_repository import ModelConfigRepository
 from agenteval.storage.repository import RunRepository, ScenarioRepository, TargetRepository
 from agenteval.web.deps import get_db
 
 router = APIRouter()
 
 
+def _ts(dt: datetime | None) -> float:
+    """Sortable timestamp tolerant of naive/aware mixes in legacy rows."""
+    if dt is None:
+        return 0.0
+    if dt.tzinfo is None:
+        dt = dt.replace(tzinfo=timezone.utc)
+    return dt.timestamp()
+
+
 @router.get("/dashboard")
 def dashboard(session: Session = Depends(get_db)) -> dict:
     targets = TargetRepository(session).list_all()
     scenarios = ScenarioRepository(session).list_all()
     runs = RunRepository(session).list_all()
+    model_configs = ModelConfigRepository(session).list_all()
+
+    scenario_names = {s.id: s.name for s in scenarios}
+    target_names = {t.id: t.name for t in targets}
 
     completed_runs = [r for r in runs if r.status == "completed" and r.summary]
     pass_rates = [r.summary.get("pass_rate", 0) for r in completed_runs if isinstance(r.summary, dict)]
     overall_pass_rate = sum(pass_rates) / len(pass_rates) if pass_rates else None
 
-    recent_runs = sorted(runs, key=lambda r: r.started_at or "", reverse=True)[:10]
+    today = datetime.now(timezone.utc).date()
+    today_runs = 0
+    running_count = 0
+    trigger_breakdown: dict[str, int] = defaultdict(int)
+    for r in runs:
+        if r.started_at:
+            started = r.started_at
+            if started.tzinfo is None:
+                started = started.replace(tzinfo=timezone.utc)
+            if started.date() == today:
+                today_runs += 1
+        if r.status in ("running", "pending"):
+            running_count += 1
+        trigger_breakdown[r.triggered_by.value] += 1
+
+    # Per-scenario aggregation over completed runs.
+    by_scenario: dict[str, list] = defaultdict(list)
+    for r in completed_runs:
+        by_scenario[r.scenario_id].append(r)
+    scenario_stats = []
+    for sid, sruns in by_scenario.items():
+        rates = [r.summary.get("pass_rate", 0) for r in sruns if isinstance(r.summary, dict)]
+        last_run = max(sruns, key=lambda r: _ts(r.started_at))
+        scenario_stats.append({
+            "scenario_id": sid,
+            "scenario_name": scenario_names.get(sid, sid[:8]),
+            "run_count": len(sruns),
+            "avg_pass_rate": round(sum(rates) / len(rates), 4) if rates else None,
+            "last_run_at": last_run.started_at.isoformat() if last_run.started_at else None,
+        })
+    scenario_stats.sort(key=lambda s: s["run_count"], reverse=True)
+
+    recent_runs = sorted(runs, key=lambda r: _ts(r.started_at), reverse=True)[:10]
 
     return {
         "targets_count": len(targets),
         "scenarios_count": len(scenarios),
         "runs_count": len(runs),
+        "model_configs_count": len(model_configs),
+        "today_runs": today_runs,
+        "running_count": running_count,
         "overall_pass_rate": overall_pass_rate,
-        "recent_runs": [r.model_dump() for r in recent_runs],
+        "trigger_breakdown": dict(trigger_breakdown),
+        "scenario_stats": scenario_stats,
+        "recent_runs": [
+            {
+                **r.model_dump(),
+                "scenario_name": scenario_names.get(r.scenario_id),
+                "target_name": target_names.get(r.target_id),
+            }
+            for r in recent_runs
+        ],
     }
 
 

backend/cli/run.py

@@ -5,6 +5,7 @@ from typing import Any
 
 import typer
 from agenteval.evaluation.engine import EvalEngine
+from agenteval.models import RunTrigger
 from agenteval.storage.repository import RunRepository, ScenarioRepository, TargetRepository
 from rich.console import Console
 from rich.table import Table
@@ -44,7 +45,7 @@ def start_run(
         raise typer.Exit(1)
 
     console.print(f"开始评测: 对象={target.name}, 场景={scenario.name}")
-    engine = EvalEngine(target=target, scenario=scenario)
+    engine = EvalEngine(target=target, scenario=scenario, triggered_by=RunTrigger.CLI)
     try:
         run = asyncio.run(engine.run(progress_callback=_progress))
     except Exception as exc:

backend/plugins/openclaw/README.md

@@ -1,57 +1,45 @@
 # OpenClaw 插件 for AgentEvalTool
 
-本目录提供 OpenClaw 调用 AgentEvalTool 的示例技能，使 OpenClaw 能够自闭环完成评测策略设计。
+本目录提供 OpenClaw 调用 AgentEvalTool 的标准接入方式，使 OpenClaw（AI 助手）能够自闭环完成评测。
 
 ## 设计原则
 
-- AgentEvalTool 作为独立的 CLI 工具集存在，负责：
+- AgentEvalTool 负责：
   - 评测对象管理
   - 评测场景管理
   - 评测执行与原始数据收集
   - 评估分析与报告生成
-- OpenClaw 通过本插件调用 `agenteval` CLI，负责：
+- OpenClaw 负责：
   - 评测策略编排（选择对象、场景、触发时机）
   - 定时调度（OpenClaw 自身的 cron + skill 机制）
   - 结果通知与后续动作
 
-## 前置条件
+## 唯一标准接入方式：HTTP API
 
-1. 已安装 AgentEvalTool CLI：
-   ```bash
-   pip install -e /path/to/AgentEvalTool
-   ```
-2. `agenteval` 命令已在 PATH 中可用。
-3. 已通过 `agenteval target add` 注册评测对象。
-4. 已通过 `agenteval scenario import` 导入评测场景。
+**所有 OpenClaw 触发的评测必须走 AgentEvalTool 的 HTTP API**（`POST /api/runs` 等），
+并在启动评测时携带 `"triggered_by": "ai_assistant"`，以便平台区分手动触发与 AI 助手触发。
 
-## 接入方式
+> ⚠️ 禁止在 OpenClaw 中通过 subprocess 调用 `agenteval` CLI。
+> CLI 直接写入其运行环境下的本地 SQLite（路径硬编码），与 Web 后台的数据库不共享，
+> 会导致评测记录"消失"——Web 页面永远查不到。CLI 仅用于开发者在 agenteval
+> 服务同一环境下的手工调试。
 
-### 方式一：直接调用 CLI（推荐）
+### 方式一：agenteval-run 技能（推荐）
 
-在 OpenClaw Skill 中直接调用系统命令：
+`skills/agenteval-run/SKILL.md` 是标准技能文件，指导 AI 助手用 `curl` 走 API 全流程
+（列对象/场景 → 启动评测 → 轮询状态 → 取报告）。
 
-```python
-import subprocess
+部署脚本（`scripts/deploy-t480.sh`）会自动把它同步到 OpenClaw 工作区：
+`data/openclaw/workspace/skills/agenteval-run/SKILL.md`。
 
-# 触发评测
-subprocess.run([
-    "agenteval", "run", "start",
-    "--target-id", "<target-id>",
-    "--scenario-id", "<scenario-id>",
-], check=True)
+### 方式二：Python Skill 封装
 
-# 获取报告（需要在运行输出中解析 run_id）
-report = subprocess.check_output([
-    "agenteval", "report", "show", "<run-id>", "--format", "json",
-])
-```
-
-### 方式二：使用本目录封装的 Skill
-
-参考 `agenteval_skill.py`，在 OpenClaw 中注册技能时传入配置：
+参考 `agenteval_skill.py`（httpx 调 API），在 OpenClaw 中注册技能时传入配置：
 
 ```json
 {
+  "api_base_url": "http://agenteval:8000",
+  "api_key": "<可选，对应 AGENTEVAL_API_KEY>",
   "target_id": "<target-id>",
   "scenario_id": "<scenario-id>",
   "report_format": "json"
@@ -66,20 +54,21 @@ OpenClaw 的 cron 配置（具体格式以 OpenClaw 平台为准）：
 skill: agenteval_skill
 schedule: "0 9 * * *"  # 每天早上 9 点执行
 config:
+  api_base_url: "http://agenteval:8000"
   target_id: "<target-id>"
   scenario_id: "<scenario-id>"
   report_format: "json"
 ```
 
-## CLI 返回的 run_id 解析
+## API 速查
 
-`agenteval run start` 成功后会输出：
+| 操作 | 请求 |
+|---|---|
+| 启动评测 | `POST /api/runs` body: `{"target_id", "scenario_id", "triggered_by": "ai_assistant"}` |
+| 查询状态 | `GET /api/runs/{run_id}`（轮询至 completed/failed） |
+| 获取报告 | `GET /api/reports/{run_id}` |
 
-```text
-评测完成: run_id=xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx, status=completed
-```
-
-OpenClaw Skill 需要从 stdout 中提取 `run_id`，然后调用 `agenteval report show <run_id>` 获取报告。
+如果平台设置了 `AGENTEVAL_API_KEY`，所有请求需带 `X-API-Key` 头。
 
 ## 扩展建议
 

backend/plugins/openclaw/agenteval_skill.py

@@ -44,6 +44,7 @@ class AgentEvalSkill:
                 json={
                     "target_id": self.target_id,
                     "scenario_id": self.scenario_id,
+                    "triggered_by": "ai_assistant",
                 },
             )
             if resp.status_code != 200:

backend/plugins/openclaw/skills/agenteval-run/SKILL.md

@@ -0,0 +1,54 @@
+---
+name: agenteval-run
+description: 触发 AgentEvalTool 评测任务并获取报告
+---
+
+当用户要求执行评测时，使用 exec 工具运行以下命令。
+所有评测必须走 AgentEvalTool 标准 HTTP API（禁止直接调 CLI 或操作数据库）。
+
+平台可能启用了 API Key 鉴权。每次执行命令前先读取密钥（文件不存在则为空，不影响未启用鉴权的环境）：
+
+```bash
+KEY=$(cat ~/.openclaw/agenteval-api-key 2>/dev/null)
+```
+
+以下所有 curl 命令都必须带 `-H "X-API-Key: $KEY"`。
+
+## 查看评测对象列表
+```bash
+curl -s -H "X-API-Key: $KEY" http://agenteval:8000/api/targets | python3 -m json.tool
+```
+
+## 查看评测场景列表
+```bash
+curl -s -H "X-API-Key: $KEY" http://agenteval:8000/api/scenarios | python3 -m json.tool
+```
+
+## 启动评测
+
+必须携带 `"triggered_by": "ai_assistant"`，平台以此区分手动触发与 AI 助手触发：
+
+```bash
+curl -s -X POST http://agenteval:8000/api/runs \
+  -H "X-API-Key: $KEY" \
+  -H "Content-Type: application/json" \
+  -d '{"target_id": "<target_id>", "scenario_id": "<scenario_id>", "triggered_by": "ai_assistant"}'
+```
+
+响应中的 `id` 字段即 run_id，请务必回报给用户。
+
+## 查看运行状态
+
+轮询直到 `status` 变为 `completed` 或 `failed`（建议每 5 秒一次）：
+
+```bash
+curl -s -H "X-API-Key: $KEY" http://agenteval:8000/api/runs/<run_id> | python3 -m json.tool
+```
+
+## 获取报告
+```bash
+curl -s -H "X-API-Key: $KEY" http://agenteval:8000/api/reports/<run_id> | python3 -m json.tool
+```
+
+请将 <target_id>、<scenario_id>、<run_id> 替换为实际值。
+完成后向用户汇报：run_id、状态、通过率（summary.pass_rate）以及失败用例摘要。

migrations/versions/b7d4e6f81c22_add_triggered_by_to_eval_runs.py

@@ -0,0 +1,29 @@
+"""add triggered_by to eval_runs
+
+Revision ID: b7d4e6f81c22
+Revises: a64b2f8c9d10
+Create Date: 2026-07-27
+"""
+from typing import Sequence, Union
+
+import sqlalchemy as sa
+import sqlmodel  # noqa: F401
+from alembic import op
+
+# revision identifiers, used by Alembic.
+revision: str = "b7d4e6f81c22"
+down_revision: Union[str, Sequence[str], None] = "a64b2f8c9d10"
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+    with op.batch_alter_table("eval_runs") as batch_op:
+        batch_op.add_column(
+            sa.Column("triggered_by", sa.String(), nullable=False, server_default="manual")
+        )
+
+
+def downgrade() -> None:
+    with op.batch_alter_table("eval_runs") as batch_op:
+        batch_op.drop_column("triggered_by")

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "agenteval"
-version = "0.3.0-dev"
+version = "0.4.0-dev"
 description = "智能体质量评估工具集平台"
 readme = "README.md"
 requires-python = ">=3.10"

scripts/deploy-t480.sh

@@ -92,6 +92,23 @@ run rsync -az --delete \
     --exclude='*.db*' \
     ./ "$HOST:$REMOTE_DIR/"
 
+# ── OpenClaw skill sync ────────────────────────────────────────────────
+# The agenteval-run skill lives in the openclaw workspace volume (data/),
+# which rsync excludes. Sync the versioned copy explicitly so the AI
+# assistant always follows the standard HTTP API flow.
+SKILL_SRC="backend/plugins/openclaw/skills/agenteval-run/SKILL.md"
+SKILL_DST="$REMOTE_DIR/data/openclaw/workspace/skills/agenteval-run/SKILL.md"
+log "sync OpenClaw skill → $SKILL_DST"
+run ssh "$HOST" "mkdir -p $(dirname "$SKILL_DST")"
+run rsync -az "$SKILL_SRC" "$HOST:$SKILL_DST"
+
+# Provision the API key file the skill reads (~/.openclaw/agenteval-api-key in
+# the openclaw container = data/openclaw/agenteval-api-key on the host). Sourced
+# from AGENTEVAL_API_KEY in the remote .env; removed when the key is unset.
+run ssh "$HOST" "KEY=\$(grep -E '^AGENTEVAL_API_KEY=.+' $REMOTE_DIR/.env 2>/dev/null | cut -d= -f2-); \
+    if [ -n \"\$KEY\" ]; then printf '%s' \"\$KEY\" > $REMOTE_DIR/data/openclaw/agenteval-api-key; \
+    else rm -f $REMOTE_DIR/data/openclaw/agenteval-api-key; fi"
+
 # ── image rebuild ──────────────────────────────────────────────────────
 if [[ "$SKIP_BUILD" == "1" ]]; then
     warn "skipping image rebuild (--skip-build)"

tests/integration/test_auth_api.py

@@ -0,0 +1,89 @@
+"""Integration tests for the login gate: /api/auth/* and require_auth."""
+
+import pytest
+from fastapi.testclient import TestClient
+from sqlmodel import Session, SQLModel, create_engine
+
+from agenteval.config.settings import Settings
+from agenteval.web.app import app
+from agenteval.web.deps import get_db
+
+
+@pytest.fixture()
+def client_with_db(tmp_path):
+    from agenteval.storage.db import (  # noqa: F401
+        EvalResultDB, EvalRunDB, EvalTargetDB, ScenarioDB, TurnDB,
+    )
+    engine = create_engine(
+        f"sqlite:///{tmp_path / 'auth_api.db'}",
+        connect_args={"check_same_thread": False},
+    )
+    SQLModel.metadata.create_all(engine)
+    session = Session(engine)
+
+    def override_get_db():
+        try:
+            yield session
+        finally:
+            pass
+
+    app.dependency_overrides[get_db] = override_get_db
+    client = TestClient(app)
+    yield client
+    app.dependency_overrides.clear()
+    session.close()
+
+
+def _patch_settings(monkeypatch, **kwargs):
+    settings = Settings(_env_file=None, **kwargs)
+    from agenteval.web import deps as deps_module
+    from agenteval.web.routers import auth as auth_module
+
+    monkeypatch.setattr(deps_module, "get_settings", lambda: settings)
+    monkeypatch.setattr(auth_module, "get_settings", lambda: settings)
+    return settings
+
+
+def test_no_credentials_configured_is_open(client_with_db, monkeypatch):
+    _patch_settings(monkeypatch)
+    assert client_with_db.get("/api/targets").status_code == 200
+    status = client_with_db.get("/api/auth/status").json()
+    assert status == {"auth_required": False, "authenticated": True}
+
+
+def test_login_disabled_returns_400(client_with_db, monkeypatch):
+    _patch_settings(monkeypatch)
+    resp = client_with_db.post("/api/auth/login", json={"password": "whatever"})
+    assert resp.status_code == 400
+
+
+def test_admin_password_gates_api(client_with_db, monkeypatch):
+    _patch_settings(monkeypatch, admin_password="s3cret")
+
+    # No credentials → 401.
+    assert client_with_db.get("/api/targets").status_code == 401
+
+    # Wrong password → 401.
+    assert client_with_db.post("/api/auth/login", json={"password": "nope"}).status_code == 401
+
+    # Correct password → token that unlocks the API.
+    token = client_with_db.post("/api/auth/login", json={"password": "s3cret"}).json()["token"]
+    resp = client_with_db.get("/api/targets", headers={"X-Auth-Token": token})
+    assert resp.status_code == 200
+
+    status = client_with_db.get("/api/auth/status", headers={"X-Auth-Token": token}).json()
+    assert status == {"auth_required": True, "authenticated": True}
+    assert client_with_db.get("/api/auth/status").json()["authenticated"] is False
+
+
+def test_api_key_still_works_alongside_login(client_with_db, monkeypatch):
+    _patch_settings(monkeypatch, admin_password="s3cret", api_key="machine-key")
+
+    assert client_with_db.get("/api/targets").status_code == 401
+    assert client_with_db.get("/api/targets", headers={"X-API-Key": "machine-key"}).status_code == 200
+    assert client_with_db.get("/api/targets", headers={"X-API-Key": "wrong"}).status_code == 401
+
+
+def test_health_stays_open(client_with_db, monkeypatch):
+    _patch_settings(monkeypatch, admin_password="s3cret")
+    assert client_with_db.get("/api/health").status_code == 200

tests/integration/test_reports_api.py

@@ -39,7 +39,7 @@ def client_with_db(tmp_path):
     session.close()
 
 
-def _seed_run(session: Session, name_suffix: str = "") -> str:
+def _seed_run(session: Session, name_suffix: str = "", scenario_id: str | None = None) -> str:
     target = EvalTarget(
         name=f"target{name_suffix}",
         platform=PlatformType.AI_DIGITAL_EMPLOYEE,
@@ -49,15 +49,17 @@ def _seed_run(session: Session, name_suffix: str = "") -> str:
     )
     target = TargetRepository(session).create(target)
 
+    if scenario_id is None:
         scenario = Scenario(
             name=f"scenario{name_suffix}",
             cases=[Case(id="c1", type=CaseType.SINGLE, messages=["hi"])],
         )
         scenario = ScenarioRepository(session).create(scenario)
+        scenario_id = scenario.id
 
     run = EvalRun(
         target_id=target.id,
-        scenario_id=scenario.id,
+        scenario_id=scenario_id,
         status=RunStatus.COMPLETED,
     )
     run = RunRepository(session).create(run)
@@ -143,7 +145,8 @@ def test_get_markdown_report_attachment_header(client_with_db):
 def test_compare_report(client_with_db):
     client, session = client_with_db
     run_id_a = _seed_run(session, "A")
-    run_id_b = _seed_run(session, "B")
+    sid = RunRepository(session).get(run_id_a).scenario_id
+    run_id_b = _seed_run(session, "B", scenario_id=sid)
     resp = client.get(f"/api/reports/compare?run1={run_id_a}&run2={run_id_b}")
     assert resp.status_code == 200
     data = resp.json()
@@ -153,6 +156,15 @@ def test_compare_report(client_with_db):
     assert "cases" in data
 
 
+def test_compare_report_different_scenarios_400(client_with_db):
+    client, session = client_with_db
+    run_id_a = _seed_run(session, "A")
+    run_id_b = _seed_run(session, "B")  # separate scenario
+    resp = client.get(f"/api/reports/compare?run1={run_id_a}&run2={run_id_b}")
+    assert resp.status_code == 400
+    assert "相同场景" in resp.json()["detail"]
+
+
 def test_compare_report_run_not_found(client_with_db):
     client, session = client_with_db
     run_id = _seed_run(session)

tests/integration/test_runs_api.py

@@ -196,3 +196,45 @@ async def test_start_run_missing_target(client, seeded_db):
         "target_id": "does-not-exist", "scenario_id": "s-1",
     })
     assert resp.status_code == 404
+
+
+# ── triggered_by ─────────────────────────────────────────────────────────
+
+async def test_start_run_default_triggered_by_manual(client, seeded_db, mock_channel):
+    resp = await client.post("/api/runs", json={
+        "target_id": "t-1", "scenario_id": "s-1",
+    })
+    assert resp.status_code == 200
+    assert resp.json()["triggered_by"] == "manual"
+
+
+async def test_start_run_ai_assistant_triggered_by(client, seeded_db, mock_channel):
+    resp = await client.post("/api/runs", json={
+        "target_id": "t-1", "scenario_id": "s-1", "triggered_by": "ai_assistant",
+    })
+    assert resp.status_code == 200
+    run_id = resp.json()["id"]
+    assert resp.json()["triggered_by"] == "ai_assistant"
+
+    # Persisted, not just echoed.
+    got = (await client.get(f"/api/runs/{run_id}")).json()
+    assert got["triggered_by"] == "ai_assistant"
+
+
+async def test_start_run_invalid_triggered_by_422(client, seeded_db):
+    resp = await client.post("/api/runs", json={
+        "target_id": "t-1", "scenario_id": "s-1", "triggered_by": "robot",
+    })
+    assert resp.status_code == 422
+
+
+async def test_list_runs_includes_names_and_trigger(client, seeded_db, mock_channel):
+    await client.post("/api/runs", json={
+        "target_id": "t-1", "scenario_id": "s-1", "triggered_by": "ai_assistant",
+    })
+    listing = (await client.get("/api/runs")).json()
+    assert len(listing) == 1
+    row = listing[0]
+    assert row["scenario_name"] == "mock-scenario"
+    assert row["target_name"] == "mock-target"
+    assert row["triggered_by"] == "ai_assistant"

tests/integration/test_stats_api.py

@@ -0,0 +1,106 @@
+"""Integration tests for /api/stats/dashboard aggregation."""
+
+import pytest
+from fastapi.testclient import TestClient
+from sqlmodel import Session, SQLModel, create_engine
+
+from agenteval.models import (
+    Case, CaseType, ChannelType, EvalRun, EvalTarget, PlatformType,
+    RunStatus, RunTrigger, Scenario, TargetStatus,
+)
+from agenteval.storage.repository import RunRepository, ScenarioRepository, TargetRepository
+from agenteval.web.app import app
+from agenteval.web.deps import get_db
+
+
+@pytest.fixture()
+def client_with_db(tmp_path):
+    from agenteval.storage.db import (  # noqa: F401
+        EvalResultDB, EvalRunDB, EvalTargetDB, ModelConfigDB, ScenarioDB, TurnDB,
+    )
+    engine = create_engine(
+        f"sqlite:///{tmp_path / 'stats_api.db'}",
+        connect_args={"check_same_thread": False},
+    )
+    SQLModel.metadata.create_all(engine)
+    session = Session(engine)
+
+    def override_get_db():
+        try:
+            yield session
+        finally:
+            pass
+
+    app.dependency_overrides[get_db] = override_get_db
+    client = TestClient(app)
+    yield client, session
+    app.dependency_overrides.clear()
+    session.close()
+
+
+def _seed(session: Session) -> None:
+    target = TargetRepository(session).create(EvalTarget(
+        name="对象A", platform=PlatformType.AI_DIGITAL_EMPLOYEE,
+        channel_type=ChannelType.TUTU_API, channel_config={}, status=TargetStatus.ACTIVE,
+    ))
+    scenario = ScenarioRepository(session).create(Scenario(
+        name="场景A", cases=[Case(id="c1", type=CaseType.SINGLE, messages=["hi"])],
+    ))
+    repo = RunRepository(session)
+    for pass_rate, trigger in [(1.0, RunTrigger.MANUAL), (0.5, RunTrigger.AI_ASSISTANT)]:
+        run = repo.create(EvalRun(
+            target_id=target.id, scenario_id=scenario.id,
+            status=RunStatus.COMPLETED, triggered_by=trigger,
+        ))
+        run.summary = {"total_cases": 2, "passed_cases": 1, "failed_cases": 1,
+                       "total_rules": 2, "passed_rules": 1, "pass_rate": pass_rate}
+        repo.update(run)
+    repo.create(EvalRun(
+        target_id=target.id, scenario_id=scenario.id,
+        status=RunStatus.RUNNING, triggered_by=RunTrigger.MANUAL,
+    ))
+
+
+def test_dashboard_aggregates(client_with_db):
+    client, session = client_with_db
+    _seed(session)
+
+    data = client.get("/api/stats/dashboard").json()
+    assert data["targets_count"] == 1
+    assert data["scenarios_count"] == 1
+    assert data["runs_count"] == 3
+    assert data["model_configs_count"] == 0
+    assert data["running_count"] == 1
+    assert data["today_runs"] == 3
+    assert data["overall_pass_rate"] == pytest.approx(0.75)
+    assert data["trigger_breakdown"] == {"manual": 2, "ai_assistant": 1}
+
+    assert len(data["scenario_stats"]) == 1
+    stat = data["scenario_stats"][0]
+    assert stat["scenario_name"] == "场景A"
+    assert stat["run_count"] == 2
+    assert stat["avg_pass_rate"] == pytest.approx(0.75)
+    assert stat["last_run_at"] is not None
+
+    assert len(data["recent_runs"]) == 3
+    assert data["recent_runs"][0]["scenario_name"] == "场景A"
+    assert data["recent_runs"][0]["target_name"] == "对象A"
+    assert "triggered_by" in data["recent_runs"][0]
+
+
+def test_dashboard_empty_db(client_with_db):
+    client, _ = client_with_db
+    data = client.get("/api/stats/dashboard").json()
+    assert data["runs_count"] == 0
+    assert data["overall_pass_rate"] is None
+    assert data["scenario_stats"] == []
+    assert data["recent_runs"] == []
+
+
+def test_trend_returns_daily_points(client_with_db):
+    client, session = client_with_db
+    _seed(session)
+    points = client.get("/api/stats/trend").json()
+    assert len(points) == 1
+    assert points[0]["run_count"] == 2
+    assert points[0]["pass_rate"] == pytest.approx(75.0)

tests/unit/test_report.py

@@ -34,7 +34,13 @@ def report_session(tmp_path):
         engine.dispose()
 
 
-def _seed_run(session: Session, *, pass_rate: float = 1.0, n_cases: int = 1) -> str:
+def _seed_run(
+    session: Session,
+    *,
+    pass_rate: float = 1.0,
+    n_cases: int = 1,
+    scenario_id: str | None = None,
+) -> str:
     """Create a minimal completed run with real data in the DB and return run_id."""
     target = EvalTarget(
         name="测试对象",
@@ -45,15 +51,17 @@ def _seed_run(session: Session, *, pass_rate: float = 1.0, n_cases: int = 1) ->
     )
     target = TargetRepository(session).create(target)
 
+    if scenario_id is None:
         scenario = Scenario(
             name="测试场景",
             cases=[Case(id=f"c{i}", type=CaseType.SINGLE, messages=["hi"]) for i in range(n_cases)],
         )
         scenario = ScenarioRepository(session).create(scenario)
+        scenario_id = scenario.id
 
     run = EvalRun(
         target_id=target.id,
-        scenario_id=scenario.id,
+        scenario_id=scenario_id,
         status=RunStatus.COMPLETED,
     )
     run = RunRepository(session).create(run)
@@ -148,9 +156,14 @@ def test_generate_report_not_found_raises(report_session):
 
 # ── generate_compare_report ───────────────────────────────────────────────
 
+def _scenario_of(session: Session, run_id: str) -> str:
+    return RunRepository(session).get(run_id).scenario_id
+
+
 def test_compare_report_structure(report_session):
     run_id_a = _seed_run(report_session, pass_rate=1.0, n_cases=2)
-    run_id_b = _seed_run(report_session, pass_rate=0.5, n_cases=2)
+    sid = _scenario_of(report_session, run_id_a)
+    run_id_b = _seed_run(report_session, pass_rate=0.5, n_cases=2, scenario_id=sid)
     result = generate_compare_report(run_id_a, run_id_b, report_session)
 
     assert "run_a" in result
@@ -163,14 +176,16 @@ def test_compare_report_structure(report_session):
 
 def test_compare_report_delta(report_session):
     run_id_a = _seed_run(report_session, pass_rate=0.5, n_cases=2)
-    run_id_b = _seed_run(report_session, pass_rate=1.0, n_cases=2)
+    sid = _scenario_of(report_session, run_id_a)
+    run_id_b = _seed_run(report_session, pass_rate=1.0, n_cases=2, scenario_id=sid)
     result = generate_compare_report(run_id_a, run_id_b, report_session)
     assert result["delta"]["pass_rate"] > 0  # B improved over A
 
 
 def test_compare_report_changed_cases(report_session):
     run_id_a = _seed_run(report_session, pass_rate=1.0, n_cases=2)
-    run_id_b = _seed_run(report_session, pass_rate=0.5, n_cases=2)
+    sid = _scenario_of(report_session, run_id_a)
+    run_id_b = _seed_run(report_session, pass_rate=0.5, n_cases=2, scenario_id=sid)
     result = generate_compare_report(run_id_a, run_id_b, report_session)
     # At least one case changed (A all-pass vs B half-pass)
     assert result["changed_cases"] >= 1
@@ -178,7 +193,8 @@ def test_compare_report_changed_cases(report_session):
 
 def test_compare_report_case_level(report_session):
     run_id_a = _seed_run(report_session, n_cases=1)
-    run_id_b = _seed_run(report_session, n_cases=1)
+    sid = _scenario_of(report_session, run_id_a)
+    run_id_b = _seed_run(report_session, n_cases=1, scenario_id=sid)
     result = generate_compare_report(run_id_a, run_id_b, report_session)
     assert len(result["cases"]) >= 1
     case = result["cases"][0]
@@ -187,6 +203,13 @@ def test_compare_report_case_level(report_session):
     assert "changed" in case
 
 
+def test_compare_report_different_scenarios_rejected(report_session):
+    run_id_a = _seed_run(report_session, n_cases=1)
+    run_id_b = _seed_run(report_session, n_cases=1)  # separate scenario
+    with pytest.raises(ValueError, match="same scenario"):
+        generate_compare_report(run_id_a, run_id_b, report_session)
+
+
 # ── render_markdown_report ────────────────────────────────────────────────
 
 def test_render_markdown_contains_header(report_session):