修复 AI 网关流式断流:错误透传、自动降级,max_tokens 可缺省

代理批量关联租户接口、关于页运行时与资源指标
发布 0.3.0：恢复 Chat 接口并增强云端事件通知
2026-07-13 15:06:01 +08:00 · 2026-07-13 12:23:18 +08:00 · 2026-07-13 10:13:44 +08:00 · 2026-07-12 17:48:28 +08:00 · 2026-07-10 20:25:37 +08:00
67 changed files with 5422 additions and 3975 deletions
@@ -23,7 +23,7 @@ jobs:
          echo "IMAGE=${REGISTRY}/${{ gitea.repository }}" >> "$GITHUB_ENV"
          echo "BUILD_TIME=$(date -u +%Y-%m-%dT%H:%M:%SZ)" >> "$GITHUB_ENV"

-      - name: 下载 DASH_VERSION 固定版本的前端 dist.zip,校验后解压进嵌入目录
+      - name: 下载前端 dist.zip
        env:
          TOKEN: ${{ secrets.BUILD_TOKEN }}
        run: |
@@ -36,7 +36,7 @@ jobs:
          unzip -q dist.zip -d internal/webui/dist
          test -f internal/webui/dist/index.html

-      - name: 构建双架构二进制(artifact stage 导出)
+      - name: 构建双架构二进制
        run: |
          docker buildx build --pull \
            --platform linux/amd64,linux/arm64 \
@@ -1 +1 @@
-0.6.5
+0.6.6
@@ -183,7 +183,7 @@ Complex task: ask the user if you can create a Trellis task and enter the planni
 - 1.0 Create task `[required · once]` (only after task-creation consent)
 - 1.1 Requirement exploration `[required · repeatable]` (`prd.md`; complex tasks also need `design.md` + `implement.md`)
 - 1.2 Research `[optional · repeatable]`
- 1.3 Configure context `[required · once]` — Claude Code, Cursor, OpenCode, Codex, Kiro, Gemini, Qoder, CodeBuddy, Copilot, Droid, Pi, ZCode, Reasonix (sub-agent-dispatch platforms only; inline platforms skip)
+- 1.3 Configure context `[required · once]` — Claude Code, Cursor, OpenCode, Codex, Kiro, Gemini, Qoder, CodeBuddy, Copilot, Droid, Pi, Oh My Pi, ZCode, Reasonix (sub-agent-dispatch platforms only; inline platforms skip)
 - 1.4 Activate task `[required · once]` (review gate, then `task.py start`; status → in_progress)
 - 1.5 Completion criteria

@@ -272,13 +272,13 @@ Code committed. Run `/trellis:finish-work`; if dirty, return to Phase 3.4 first.

 When a user request matches one of these intents inside an active task, route first, then load the detailed phase step if needed.

-[Claude Code, Cursor, OpenCode, codex-sub-agent, Kiro, Gemini, Qoder, CodeBuddy, Copilot, Droid, Pi, ZCode, Reasonix, Trae]
+[Claude Code, Cursor, OpenCode, codex-sub-agent, Kiro, Gemini, Qoder, CodeBuddy, Copilot, Droid, Pi, Oh My Pi, ZCode, Reasonix, Trae]

 - Planning or unclear requirements -> `trellis-brainstorm`.
 - `in_progress` implementation/check -> dispatch `trellis-implement` / `trellis-check`.
 - Repeated debugging -> `trellis-break-loop`; spec updates -> `trellis-update-spec`.

-[/Claude Code, Cursor, OpenCode, codex-sub-agent, Kiro, Gemini, Qoder, CodeBuddy, Copilot, Droid, Pi, ZCode, Reasonix, Trae]
+[/Claude Code, Cursor, OpenCode, codex-sub-agent, Kiro, Gemini, Qoder, CodeBuddy, Copilot, Droid, Pi, Oh My Pi, ZCode, Reasonix, Trae]

 [codex-inline, Kilo, Antigravity, Devin]

@@ -353,7 +353,7 @@ Return to this step whenever requirements change and revise the relevant artifac

 Research can happen at any time during requirement exploration. It isn't limited to local code — you can use any available tool (MCP servers, skills, web search, etc.) to look up external information, including third-party library docs, industry practices, API references, etc.

-[Claude Code, Cursor, OpenCode, codex-sub-agent, Kiro, Gemini, Qoder, CodeBuddy, Copilot, Droid, Pi, ZCode, Reasonix, Trae]
+[Claude Code, Cursor, OpenCode, codex-sub-agent, Kiro, Gemini, Qoder, CodeBuddy, Copilot, Droid, Pi, Oh My Pi, ZCode, Reasonix, Trae]

 Spawn the research sub-agent:

@@ -361,7 +361,7 @@ Spawn the research sub-agent:
 - **Task description**: Research <specific question>
 - **Key requirement**: Research output MUST be persisted to `{TASK_DIR}/research/`

-[/Claude Code, Cursor, OpenCode, codex-sub-agent, Kiro, Gemini, Qoder, CodeBuddy, Copilot, Droid, Pi, ZCode, Reasonix, Trae]
+[/Claude Code, Cursor, OpenCode, codex-sub-agent, Kiro, Gemini, Qoder, CodeBuddy, Copilot, Droid, Pi, Oh My Pi, ZCode, Reasonix, Trae]

 [codex-inline, Kilo, Antigravity, Devin]

@@ -380,7 +380,7 @@ Brainstorm and research can interleave freely — pause to research a technical

 #### 1.3 Configure context `[required · once]`

-[Claude Code, Cursor, OpenCode, codex-sub-agent, Kiro, Gemini, Qoder, CodeBuddy, Copilot, Droid, Pi, ZCode, Reasonix, Trae]
+[Claude Code, Cursor, OpenCode, codex-sub-agent, Kiro, Gemini, Qoder, CodeBuddy, Copilot, Droid, Pi, Oh My Pi, ZCode, Reasonix, Trae]

 Curate `implement.jsonl` and `check.jsonl` so the Phase 2 sub-agents get the right spec/research context. These files were seeded on `task create` with a single self-describing `_example` line; your job here is to fill in real entries.

@@ -425,7 +425,7 @@ Ready gate: both `implement.jsonl` and `check.jsonl` must contain at least one r

 Skip this step only when both files already have real curated entries.

-[/Claude Code, Cursor, OpenCode, codex-sub-agent, Kiro, Gemini, Qoder, CodeBuddy, Copilot, Droid, Pi, ZCode, Reasonix, Trae]
+[/Claude Code, Cursor, OpenCode, codex-sub-agent, Kiro, Gemini, Qoder, CodeBuddy, Copilot, Droid, Pi, Oh My Pi, ZCode, Reasonix, Trae]

 [codex-inline, Kilo, Antigravity, Devin]

@@ -458,11 +458,11 @@ If `task.py start` errors with a session-identity message (no context key from h
 | `design.md` exists (complex tasks) | ✅ |
 | `implement.md` exists (complex tasks) | ✅ |

-[Claude Code, Cursor, OpenCode, codex-sub-agent, Kiro, Gemini, Qoder, CodeBuddy, Copilot, Droid, Pi, ZCode, Reasonix, Trae]
+[Claude Code, Cursor, OpenCode, codex-sub-agent, Kiro, Gemini, Qoder, CodeBuddy, Copilot, Droid, Pi, Oh My Pi, ZCode, Reasonix, Trae]

 | `implement.jsonl` and `check.jsonl` each contain at least one real curated entry (seed row does not count) | ✅ |

-[/Claude Code, Cursor, OpenCode, codex-sub-agent, Kiro, Gemini, Qoder, CodeBuddy, Copilot, Droid, Pi, ZCode, Reasonix, Trae]
+[/Claude Code, Cursor, OpenCode, codex-sub-agent, Kiro, Gemini, Qoder, CodeBuddy, Copilot, Droid, Pi, Oh My Pi, ZCode, Reasonix, Trae]

 ---

@@ -472,7 +472,7 @@ Goal: turn reviewed planning artifacts into code that passes quality checks.

 #### 2.1 Implement `[required · repeatable]`

-[Claude Code, Cursor, OpenCode, CodeBuddy, Droid, Pi]
+[Claude Code, Cursor, OpenCode, CodeBuddy, Droid, Pi, Oh My Pi]

 Spawn the implement sub-agent:

@@ -484,7 +484,7 @@ The platform hook/plugin auto-handles:
 - Reads `implement.jsonl` and injects referenced spec/research files into the agent prompt
 - Injects `prd.md`, `design.md` if present, and `implement.md` if present

-[/Claude Code, Cursor, OpenCode, CodeBuddy, Droid, Pi]
+[/Claude Code, Cursor, OpenCode, CodeBuddy, Droid, Pi, Oh My Pi]

 [codex-sub-agent, Gemini, Qoder, Copilot, ZCode, Reasonix, Trae]

@@ -526,7 +526,7 @@ The platform prelude auto-handles the context load requirement:

 #### 2.2 Quality check `[required · repeatable]`

-[Claude Code, Cursor, OpenCode, codex-sub-agent, Kiro, Gemini, Qoder, CodeBuddy, Copilot, Droid, Pi, ZCode, Reasonix, Trae]
+[Claude Code, Cursor, OpenCode, codex-sub-agent, Kiro, Gemini, Qoder, CodeBuddy, Copilot, Droid, Pi, Oh My Pi, ZCode, Reasonix, Trae]

 Spawn the check sub-agent:

@@ -540,7 +540,7 @@ The check agent's job:
 - Auto-fix issues it finds
 - Run lint and typecheck to verify

-[/Claude Code, Cursor, OpenCode, codex-sub-agent, Kiro, Gemini, Qoder, CodeBuddy, Copilot, Droid, Pi, ZCode, Reasonix, Trae]
+[/Claude Code, Cursor, OpenCode, codex-sub-agent, Kiro, Gemini, Qoder, CodeBuddy, Copilot, Droid, Pi, Oh My Pi, ZCode, Reasonix, Trae]

 [codex-inline, Kilo, Antigravity, Devin]

@@ -2,6 +2,64 @@

 格式遵循 [Keep a Changelog](https://keepachangelog.com/zh-CN/1.1.0/)，版本号遵循语义化版本。

+## [0.3.1] - 2026-07-13
+
+### Added
+
+- AI 网关流式断流自动降级：Messages 与 Chat Completions 流式请求在客户端尚未收到任何输出时遭遇上游断流，自动降级为非流式重做，结果按标准事件 / chunk 序列一次推送，调用日志记 `retries=1` 与降级标记。实测 OCI 兼容面对 `instructions` 与 `tools` 合计超约 64.5KB 的流式请求会静默断连（无错误事件，非流式正常，消息正文不计入），Claude Code 等大体量系统提示客户端极易触发；Responses 直通因初始事件已转发无法透明降级，日志记「上游流提前终止」；README 增补「已知上游限制：大 system 区流式断流」小节
+
+### Changed
+
+- Messages 的 `max_tokens` 改为可缺省：缺省或 ≤0 时按默认值 8192 放行（此前返回 400；部分客户端将该字段视为选填）
+
+### Fixed
+
+- AI 网关流式假成功：上游 error / `response.failed` 事件此前被吞掉，流提前 EOF 也被伪装成正常结束，调用日志呈现 200 · 0/0 且无错误信息；现 Messages 将上游失败转为 Anthropic `error` 事件，三个流式端点日志均记录上游错误消息或「上游流提前终止，未返回终态事件」
+
+## [0.3.0] - 2026-07-13
+
+### Added
+
+- 恢复 OpenAI Chat Completions 兼容端点 `/ai/v1/chat/completions`：请求经 OCI Responses 接口转换转发，支持非流式与 SSE、文本与图片、function 工具调用、结构化输出、推理力度、模型白名单、缓存 token 用量和调用日志
+- 代理侧批量关联租户接口 `PUT /api/v1/proxies/{id}/tenants`：一次调用设置关联该代理的租户全集——列表内租户改挂到本代理（含从其他代理改挂），列表外已关联的解除，事务生效并返回最新关联计数；含无效租户 ID 返回 400，代理不存在返回 404
+- `/api/v1/about` 扩展运行时信息：进程启动时刻 `startedAt`、运行秒数 `uptimeSeconds` 与资源占用 `resources`——CPU 自启动均值（占单核百分比）、CPU 核数、goroutine 数、Go 堆内存与向系统申请内存、数据库引擎与磁盘占用（SQLite 统计主文件与 -wal / -shm；MySQL / PostgreSQL 外部库返回 -1 表示不可度量）
+- README 重构部署、配置、鉴权、反向代理、AI 网关与升级发布说明，并新增 Responses、Chat Completions、Embeddings、Anthropic Messages 与标准接口的字段兼容矩阵，明确直通、转换、降级、忽略和拒绝边界
+
+### Changed
+
+- 云端关键事件通知补充操作者、来源 IP、执行结果和说明信息；支持从 OCI Audit 与 IDCS 登录事件提取成功 / 失败状态、策略描述和登录失败原因，缺失字段统一显示占位符
+
+### Removed
+
+- **移除自定义审计告警规则**及其阈值、窗口和冷却匹配能力；`/api/v1/log-events/alert-rules` 与 `/api/v1/log-events/alert-rules/{ruleId}` 管理接口、`audit_alert` 通知模板不再提供，已有规则升级后不再执行
+
+## [0.2.0] - 2026-07-12
+
+### Added
+
+- AI 网关模型黑名单：面板集中拉黑模型，全渠道剔除（模型列表 / 路由 / 探测候选不再出现，同步不入库），移除条目并重新同步后恢复；新表 `ai_model_blacklists`（启动自动迁移），管理接口 `/api/v1/ai-blacklist`
+- AI 密钥模型白名单：密钥可限定放行的模型列表（空 = 不限），白名单外调用 404，模型列表只返回交集
+- 推理力度（effort）直通：Responses `reasoning.effort` 与 Anthropic Messages `output_config.effort` 原样透传上游、不做档位校验；grok-4.3 五档（`none` 完全关闭思考）、gpt-oss `minimal`-`high`、multi-agent `xhigh`（控制并行 agent 数）实测生效
+- xAI Grok 服务端工具：`/ai/v1/responses` 的 `tools` 支持 `{"type":"web_search"}` / `{"type":"x_search"}`（官方 Agent Tools 格式，可与 `function` 混用，仅非流式），响应保留 `web_search_call` 输出项与引用
+
+### Changed
+
+- **AI 网关对话链路整体切换到 OCI OpenAI 兼容面**（`/actions/v1/responses`），typed chat 面全链路移除：`/ai/v1/responses` 请求体原样直通（仅强制 `store:false`），流式为上游原生事件流，gpt-oss 推理增量直达客户端；`/ai/v1/messages` 转换为 Responses 请求直通，流式经事件桥转回标准 Anthropic 事件序列，`stop_sequences` / `top_k` 等无兼容面对应物的字段改为静默忽略，思考输出不转 `thinking` 块；渠道探测改用兼容面最小请求；流式建立后绑定渠道，中断不重试不计熔断
+- 后台任务「立即执行」改异步触发：接口立即返回 202，执行结果经任务日志轮询呈现；同一任务在途时重复触发返回 409「任务正在执行中」，与 cron 重叠触发静默跳过（此前同步阻塞数十秒且同一任务可并发重复执行）
+- 渠道探测候选跨厂商分散（上限 8，voice 等不可对话形态排除）：单一厂商在区域内全为微调基座时不再拖垮整个渠道的探测结论
+- 网关调用遇「模型不可按需调用」类错误（微调基座 400 / 实体不存在 404）自动换渠道重试且不计入渠道熔断，错误信息带模型名便于加入黑名单；仅鉴权类错误才判定租户无配额
+- 同名模型多条目去重优先保留非微调基座条目，降低缓存到不可调用 OCID 的概率
+
+### Removed
+
+- **`/ai/v1/chat/completions` 端点移除**（404）：OpenAI 官方新能力已集中到 Responses 且本面板真实流量为零，请迁移 `/ai/v1/responses` 或 `/ai/v1/messages`
+- google / cohere 对话模型不再供给（OCI OpenAI 兼容面不承接，上游 400；cohere embed 向量模型不受影响），模型目录按 `xai.` / `meta.` / `openai.` 厂商前缀过滤
+
+### Fixed
+
+- 渠道「同步模型成功但探测报错不可用」：法兰克福等区域的微调基座模型占满探测候选导致的误报（探测状态与真实可用性不符的根因）
+- 租户删除：告警命中清理改子查询，日志事件数万条时不再超出 SQL 绑定变量上限导致删除失败；无法解析的任务 payload 记警告跳过并保留原任务，不再永久阻断租户删除
+
 ## [0.1.0] - 2026-07-10

 ### Added
@@ -1 +1 @@
-v0.1.0
+v0.3.0
@@ -4,16 +4,21 @@

 # OCI Portal

-**Oracle Cloud Infrastructure 多租户管理面板**
+**自托管的 OCI 多租户管理面板与 GenAI 兼容网关**

-![Go](https://img.shields.io/badge/Go-1.26-00ADD8?logo=go&logoColor=white)
-![License](https://img.shields.io/badge/License-MIT-blue)
+![Release](https://img.shields.io/github/v/release/wangdefaa/oci-portal?display_name=tag)
+![Go](https://img.shields.io/badge/Go-1.26.5-00ADD8?logo=go&logoColor=white)
 ![Docker](https://img.shields.io/badge/Docker-amd64%20%7C%20arm64-2496ED?logo=docker&logoColor=white)
+![License](https://img.shields.io/badge/License-MIT-blue)

-本仓库为后端；前端工程见 [oci-portal-dash](https://github.com/wangdefaa/oci-portal-dash)（构建产物嵌入本服务成单文件）
+[快速开始](#快速开始) · [核心能力](#核心能力) · [生产部署](#生产部署) · [AI 网关](#ai-网关) · [开发](#开发)

 </div>

+OCI Portal 将多份 OCI API Key、云资源、自动化任务、审计事件和 OCI GenAI 渠道集中到一个管理界面。Vue 前端通过 `go:embed` 嵌入 Go 服务，Release 以单个二进制和多架构容器镜像交付。
+
+本仓库为后端与发行仓库；前端源码位于 [oci-portal-dash](https://github.com/wangdefaa/oci-portal-dash)。
+
 ## 界面预览

 | 总览 | 登录 |
@@ -28,59 +33,118 @@
 | --- | --- |
 | ![AI 网关](docs/assets/screenshot-ai-gateway.png) | ![通知设置](docs/assets/screenshot-settings-notify.png) |

-## 特性
+## 核心能力

- **多租户管理**：多份 OCI API Key 配置集中管理，私钥/口令 AES-256-GCM 加密落库；分组、批量测活、账户类型与订阅信息识别
- **资源管理**：实例（含创建/电源操作/更换公网 IP/IPv6/VNIC/引导卷）、VCN/子网/安全列表、块存储、限额与成本查询，多区域/多区间支持
- **抢机任务**：cron 周期尝试创建实例直到成功，支持熔断与通知
- **网页控制台**：实例串行控制台（xterm）与 VNC（noVNC），两跳 SSH 隧道
- **AI 网关**：OpenAI / Anthropic 兼容端点转发 OCI GenAI（对话/Responses/Embeddings），号池渠道加权负载均衡、熔断探测、密钥管理与用量日志
- **日志回传**：OCI Audit 事件经 Connector Hub → Notifications HTTPS 订阅回传入库，一键创建链路；自定义告警规则（事件类型/来源 IP 白名单/资源/频率阈值）命中即推送
- **租户治理**：IAM 用户/MFA/API Key 管理、密码策略、身份提供商（SAML）、通知收件人；多 Identity Domain 租户可按域切换管理
- **安全**：JWT + bcrypt（凭据变更旧令牌立即失效，可一键撤销全部会话）、TOTP 两步验证、OIDC/GitHub 外部登录、登录锁定、IP 限速、真实 IP 头可配、请求体/超时防护、系统操作审计
- **通知**：模板化推送，五渠道并存（Telegram / Webhook / ntfy / Bark / SMTP），Webhook 可对接飞书、钉钉、Slack、企业微信机器人
+- **租户与区域**：集中管理多份 OCI API Key，支持分组、批量测活、账户画像、订阅区域缓存与区域切换；私钥和口令使用 AES-256-GCM 加密落库
+- **计算、网络与存储**：实例创建与电源操作、公网 IP、IPv6、VNIC、串行控制台连接，VCN / 子网 / 安全列表，引导卷与块存储挂载，限额和成本查询
+- **自动化任务**：抢机、租户测活、成本同步、AI 渠道探测四类 cron 任务，提供执行日志、重叠执行防护、熔断与结果通知
+- **网页控制台**：浏览器内使用 xterm 串行终端和 noVNC，通过 OCI 控制台连接建立两跳 SSH 隧道
+- **身份与审计**：IAM 用户、MFA、API Key、密码策略、SAML 身份提供商、通知收件人和多 Identity Domain 管理；OCI Audit 事件可经 Service Connector Hub 与 Notifications 回传，关键事件按类别通过「云端事件」通知推送
+- **通知与安全**：Telegram、Webhook、ntfy、Bark、SMTP 五类渠道；JWT、bcrypt、TOTP、OIDC / GitHub 登录、登录锁定、IP 限速、会话撤销和系统操作审计
+- **AI 网关**：提供 OpenAI Responses、Chat Completions、Embeddings 与 Anthropic Messages 兼容接口，支持渠道分组、加权路由、熔断探测、模型黑白名单、密钥管理和调用日志
+
+## 运行形态
+
+```text
+浏览器 / API 客户端
+        │
+        ▼
+┌──────────────────── OCI Portal 单个 Go 进程 ────────────────────┐
+│  Vue 3 静态资源（go:embed）                                     │
+│  /api/v1  → Gin → Service → OCI SDK                            │
+│  /ai/v1   → 兼容转换与路由 → OCI Generative AI                 │
+│  GORM      → SQLite（默认）/ MySQL / PostgreSQL（experimental） │
+└─────────────────────────────────────────────────────────────────┘
+```
+
+默认推荐 SQLite 单实例部署。MySQL 和 PostgreSQL 适配仍属 experimental，不应据此推断服务支持多副本并发运行。

 ## 快速开始

+### Docker Compose（推荐）
+
+前置条件：Docker、Docker Compose v2、OpenSSL。
+
+1. 克隆仓库并生成一份需要长期保存的 `.env`：
+
+   ```bash
+   git clone https://github.com/wangdefaa/oci-portal.git
+   cd oci-portal
+
+   umask 077
+   printf 'DATA_KEY=%s\nJWT_SECRET=%s\nADMIN_PASSWORD=%s\n' \
+     "$(openssl rand -hex 32)" \
+     "$(openssl rand -hex 32)" \
+     "$(openssl rand -base64 24)" > .env
+   chmod 600 .env
+   ```
+
+2. 准备数据目录并启动：
+
+   ```bash
+   mkdir -p data
+
+   # Linux bind mount 需要让镜像内的 nonroot 用户（uid 65532）可写。
+   sudo chown 65532:65532 data
+
+   docker compose up -d
+   docker compose ps
+   ```
+
+3. 查看初始管理员密码并登录：
+
+   ```bash
+   grep '^ADMIN_PASSWORD=' .env
+   ```
+
+   访问 `http://127.0.0.1:18888`，默认用户名为 `admin`。
+
+> `DATA_KEY` 用于解密数据库中的 OCI 私钥、口令和渠道凭据。它只能生成一次并持续复用；丢失或更换后，已有密文无法恢复。请将 `.env` 与 `data/oci-portal.db` 一起备份。
+
 ### 二进制运行

-从 Release 下载对应架构的二进制后：
+Release 提供 Linux amd64 / arm64 二进制。以下以 amd64 为例；arm64 主机将文件名中的 `amd64` 替换为 `arm64`：

 ```bash
-DATA_KEY=$(openssl rand -hex 32) JWT_SECRET=$(openssl rand -hex 32) ADMIN_PASSWORD=<初始密码> ./oci-portal-server
+curl -fLO https://github.com/wangdefaa/oci-portal/releases/latest/download/oci-portal-server-linux-amd64
+chmod +x oci-portal-server-linux-amd64
+
+# 复用上文生成并妥善保存的 .env。
+set -a
+. ./.env
+set +a
+
+./oci-portal-server-linux-amd64
 ```

-访问 `http://localhost:8080`，用 `admin` 与初始密码登录。
+默认访问地址为 `http://localhost:8080`。`ADMIN_PASSWORD` 只在数据库中没有用户时创建初始管理员，后续启动不会用它重置密码。

-### Docker Compose
+### 源码构建
+
+源码构建要求 Go 1.26.5、`curl`、`unzip` 和 `sha256sum`。仓库只保留前端占位页，编译完整单文件前应下载 `DASH_VERSION` 指定的前端产物并校验：

 ```bash
-# 镜像以 distroless nonroot(uid 65532)运行,数据卷需可写,否则 SQLite 报 unable to open database file
-mkdir -p ./data && sudo chown 65532:65532 ./data
-DATA_KEY=$(openssl rand -hex 32) JWT_SECRET=$(openssl rand -hex 32) ADMIN_PASSWORD=<初始密码> docker compose up -d
+DASH_TAG="$(tr -d '\r\n' < DASH_VERSION)"
+DASH_BASE="https://github.com/wangdefaa/oci-portal-dash/releases/download/${DASH_TAG}"
+
+curl -fL -o dist.zip "${DASH_BASE}/dist.zip"
+curl -fL -o dist.zip.sha256 "${DASH_BASE}/dist.zip.sha256"
+sha256sum -c dist.zip.sha256
+
+rm -rf internal/webui/dist
+mkdir -p internal/webui/dist
+unzip -q dist.zip -d internal/webui/dist
+
+CGO_ENABLED=0 go build -trimpath -o bin/oci-portal-server ./cmd/server
 ```

-默认只监听 `127.0.0.1:18888`;公网访问须置于 TLS 反向代理之后,见下文「反向代理」。
+本地构建显示 `dev` 版本；Release 工作流会注入正式版本和构建时间。`internal/webui/dist` 中的真实前端产物不应提交到仓库。

-### 源码构建（单文件，含前端）
+## 生产部署

-```bash
-# 1. 获取前端产物:从前端仓库 Release 下载 dist.zip(或本地 npm run build 后拷入)
-curl -fL -o dist.zip https://github.com/wangdefaa/oci-portal-dash/releases/latest/download/dist.zip
-rm -rf internal/webui/dist && mkdir -p internal/webui/dist && unzip -q dist.zip -d internal/webui/dist
-# 2. 编译(免 CGO,可交叉编译;-X 两项注入「设置·关于」页的版本与构建时间,可省略,省略则显示 dev)
-CGO_ENABLED=0 go build -trimpath \
-  -ldflags "-s -w -X oci-portal/internal/api.buildVersion=v0.0.1 -X oci-portal/internal/api.buildTime=$(date -u +%Y-%m-%dT%H:%M:%SZ)" \
-  -o bin/oci-portal-server ./cmd/server
-```
+服务本身只提供 HTTP。除本机试用外，应保持服务仅监听回环地址或容器内部网络，并由 TLS 反向代理提供 HTTPS；否则管理员密码、JWT、AI 密钥和租户凭据会经明文连接传输。

-> 注意：上述解压会覆盖仓库占位文件 `internal/webui/dist/index.html`，提交代码前勿把真实产物带入版本库。
-
-### 反向代理（公网部署必读）
-
-面板自身只提供 HTTP，管理员口令、JWT 与租户 API 私钥都会经明文承载。除本机试用外，应让面板仅监听回环地址（compose 示例已默认 `127.0.0.1:18888`），由支持 TLS 的反向代理对外提供 HTTPS。
-
-Caddy 最小示例（整站反代，自动申请并续期 Let's Encrypt 证书，WebSocket 自动透传）：
+### Caddy

 ```caddyfile
 portal.example.com {
@@ -88,10 +152,18 @@ portal.example.com {
 }
 ```

-nginx 示例（证书自备；Web Console 的 WebSocket 升级与长超时必须显式配置，否则串行终端连不上或空闲即断）：
+Caddy 会自动处理 WebSocket。使用 nginx、Traefik 或其他反向代理时，还需要满足：
+
+- 为串行终端和 VNC 转发 WebSocket Upgrade 头
+- 为 AI 流式响应和控制台连接设置较长的读写超时，建议 `1h`
+- 整站请求体上限至少为 `10MB`；后端会继续限制面板 API 为 `1MB`、AI 网关为 `10MB`
+- 将面板内「设置 → 安全 → 真实 IP 请求头」配置为反向代理实际写入的头；系统审计、登录锁定和 IP 限速依赖它
+- 配置 `PUBLIC_URL` 或面板地址，供 OAuth 回调和 OCI 日志回传链路使用
+
+<details>
+<summary>nginx 最小示例</summary>

 ```nginx
-# http 块内：按请求是否升级为 WebSocket 决定 Connection 头
 map $http_upgrade $connection_upgrade {
    default upgrade;
    ""      close;
@@ -104,7 +176,6 @@ server {
    ssl_certificate     /etc/nginx/certs/portal.example.com.crt;
    ssl_certificate_key /etc/nginx/certs/portal.example.com.key;

-    # 放行到最大入口(AI 网关 10MB);各入口更细的上限由后端自身执行
    client_max_body_size 10m;

    location / {
@@ -114,69 +185,273 @@ server {
        proxy_set_header Connection $connection_upgrade;
        proxy_set_header Host $host;
        proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
-        # WebSocket 空闲与 AI 流式响应都需要长读超时(默认 60s 会断)
        proxy_read_timeout 1h;
        proxy_send_timeout 1h;
    }
 }
 ```

-Traefik 示例（已运行 Traefik 的 Docker 环境，面板容器加 label 接入即可，WebSocket 透明支持）：
+</details>

-```yaml
-services:
-  oci-portal:
-    image: ghcr.io/wangdefaa/oci-portal:latest
-    # ……环境变量与数据卷同上文 compose 示例;与 Traefik 同一 docker 网络,
-    # Traefik 经容器网络直达 8080,无需(也不应)对外映射 ports
-    labels:
-      - traefik.enable=true
-      - traefik.http.routers.oci-portal.rule=Host(`portal.example.com`)
-      - traefik.http.routers.oci-portal.entrypoints=websecure
-      - traefik.http.routers.oci-portal.tls.certresolver=le   # 换成你的 certResolver 名
-      - traefik.http.services.oci-portal.loadbalancer.server.port=8080
-```
+若前端静态文件与后端分离部署，`/api/*` 和 `/ai/*` 必须代理到后端，其余路径由 SPA 静态服务处理并回退到 `index.html`。Traefik 通过容器网络连接时应直达容器端口 `8080`，无需暴露宿主机端口。

-若前端静态文件由反代直接伺服（不走内嵌页面），则按前缀代理，缺一不可：
+## AI 网关

-| 前缀 | 内容 | 何时需要 |
+AI 网关使用面板创建的独立密钥鉴权，支持 `Authorization: Bearer sk-...` 和 `x-api-key: sk-...`。密钥可绑定渠道分组和模型白名单；全局模型黑名单会从模型列表、路由和探测候选中同时排除目标模型。
+
+| 端点 | 定位 | 流式 |
 | --- | --- | --- |
-| `/api/*` | 面板 REST、Web Console WebSocket、日志回传 webhook | 始终 |
-| `/ai/*` | AI 网关（OpenAI / Claude 兼容端点，独立密钥鉴权） | 启用 AI 网关时 |
-| 其余路径 | 前端 SPA 静态文件（404 回退 `index.html`） | 静态分离形态 |
+| `POST /ai/v1/responses` | OpenAI Responses，无状态主接口 | SSE；服务端工具除外 |
+| `POST /ai/v1/chat/completions` | OpenAI Chat Completions，存量客户端兼容层 | SSE |
+| `POST /ai/v1/messages` | Anthropic Messages 转换层 | SSE |
+| `POST /ai/v1/embeddings` | OpenAI Embeddings | 否 |
+| `GET /ai/v1/models` | 当前密钥可见的模型列表 | 否 |

- 反代默认追加的 `X-Forwarded-For` 用于还原真实客户端 IP，系统日志留痕、登录锁定与 IP 限速都依赖它
- 请求体上限建议与后端一致：`/api/*` 1MB、`/ai/*` 10MB（Caddy 用 `request_body` 按前缀分层）
+兼容边界：

-## 环境变量
+- 对话请求统一转发 OCI OpenAI 兼容面，当前供给以 `xai.`、`meta.`、`openai.` 前缀模型为主；Cohere Embeddings 不受该对话模型范围影响
+- 网关不保存会话历史，客户端需要携带完整上下文；Responses 拒绝非空 `previous_response_id`、非 `null` `conversation` 和 `background:true`
+- Responses 支持 xAI Grok `web_search` / `x_search` 服务端工具，但仅限非流式请求
+- Responses 的 `reasoning.effort`、Messages 的 `output_config.effort` 和 Chat Completions 的 `reasoning_effort` 会传给上游，实际档位和效果由模型决定
+- Chat Completions 只承担协议转换与兼容修复；新能力优先在 Responses 和 Messages 提供
+- 单次请求最多尝试三个渠道；可重试错误会切换渠道，流式响应建立后不会换渠道重试
+
+### 已知上游限制：大 system 区流式断流
+
+实测（2026-07-13）OCI 兼容面对 `instructions` 与 `tools` 合计超约 64.5KB 的**流式**请求会在发出少量事件后静默断开连接（无任何错误事件；同请求非流式正常），与模型、字符集、消息正文大小均无关——消息正文（`input`）不计入该限制。Chat Completions 与 Messages 的 system/developer 提示会转换为 `instructions`，因此 Claude Code 等自带大体量系统提示与工具定义的客户端极易触发。
+
+网关侧应对：
+
+- Messages 与 Chat Completions 的流式请求在客户端尚未收到任何输出时遭遇上游断流，会自动降级为非流式重做，并按标准事件/chunk 序列一次推送；调用日志记 `retries=1` 与降级标记
+- Responses 直通因初始事件已转发、协议上无法透明降级，调用日志记「上游流提前终止」，客户端需自行回退非流式
+- 应急规避：将超长 system 内容移入首条 user 消息正文可绕过该限制（正文不计入），但语义有别，根治有待上游修复
+
+这里提供的是兼容接口而非 OpenAI / Anthropic 协议的完整实现。OCI OpenAI 兼容面的部分行为来自实测，未见 Oracle 文档承诺，可能随上游调整。路由与鉴权定义以 [Swagger YAML](docs/swagger.yaml) 或运行时 Swagger UI 为准；无法由 OpenAPI 完整表达的兼容边界列于上方。
+
+### 字段兼容矩阵
+
+以下矩阵以 2026-07-13 的 [OpenAI Responses](https://developers.openai.com/api/reference/resources/responses/methods/create)、[Chat Completions](https://developers.openai.com/api/reference/resources/chat/subresources/completions/methods/create)、[Embeddings](https://developers.openai.com/api/reference/resources/embeddings/methods/create) 和 [Anthropic Messages](https://platform.claude.com/docs/en/api/messages/create) 为标准基线，并与当前实现逐项核对。
+
+这是一份兼容性快照，不替代 Swagger。标准接口和 OCI 上游都可能变化，最终行为以当前版本代码与实测为准。
+
+| 标记 | 含义 |
+| :---: | --- |
+| ✅ | 网关直接支持 |
+| ➡️ | 网关原样透传；是否生效由 OCI 上游决定 |
+| 🔄 | 网关进行字段或协议转换后支持 |
+| ◐ | 部分支持、存在前置条件或语义降级 |
+| ⚠️ | 请求可被接受，但字段会被忽略 |
+| ❌ | 网关在请求到达上游前拒绝 |
+
+<details>
+<summary><code>POST /ai/v1/responses</code> 对比 OpenAI Responses</summary>
+
+Responses 是“原始 JSON 直通 + 本地门禁”。除 `store` 外，网关不会重建请求体；未知顶层字段也会保留并送往 OCI。
+
+| 标准字段 | 状态 | 网关行为 |
+| --- | :---: | --- |
+| `model` | ◐ | 必须非空，还要通过密钥模型白名单并匹配可用渠道；随后原样透传 |
+| `input` | ➡️ | 支持标准的字符串或 item 数组，原始内容透传；网关不逐项保证 OCI 能处理所有 item 类型 |
+| `instructions`、`max_output_tokens` | ➡️ | 类型可解析后原样透传，不做范围或模型能力校验 |
+| `temperature`、`top_p`、`parallel_tool_calls` | ➡️ | 原样透传，不做取值范围校验 |
+| `text` / `text.format` / `text.verbosity` | ➡️ | 整个原始对象透传；结构化输出是否可用由 OCI 模型决定 |
+| `reasoning` | ➡️ | 整个原始对象透传；`effort` 不校验档位，`summary` 等字段不会被网关删除 |
+| `tool_choice` | ➡️ | 任意 JSON 原样透传，本地不校验枚举或结构 |
+| `context_management`、`include`、`max_tool_calls`、`metadata`、`moderation`、`prompt` | ➡️ | 网关未建模但会保留在原始请求中，由 OCI 决定是否接受 |
+| `prompt_cache_key`、`prompt_cache_retention`、`safety_identifier`、`service_tier` | ➡️ | 原样透传，不代表 OCI 一定实现 OpenAI 的对应语义 |
+| `stream_options`、`top_logprobs`、`truncation`、`user` | ➡️ | 原样透传，不做本地语义校验 |
+| `store` | 🔄 | 无论客户端传什么，上游请求都强制改写为 `false` |
+| `previous_response_id` | ❌ | 非空即返回 400；网关不保存历史响应 |
+| `conversation` | ◐ | 省略或 `null` 可通过；任何非 `null` 值返回 400 |
+| `background` | ◐ | `true` 返回 400；`false`、`null` 或省略时继续透传 |
+| `stream` | ◐ | 普通请求和 `function` 工具支持 SSE；含 `web_search` / `x_search` 时拒绝流式 |
+| `tools[].type=function` | ➡️ | 非流式和流式均可，工具对象原样透传 |
+| `tools[].type=web_search` / `x_search` | ◐ | 使用 xAI 服务端工具语义且仅支持非流式；`x_search` 不是 OpenAI 标准工具 |
+| 其他标准工具类型 | ❌ | `web_search_preview`、`file_search`、`computer`、`code_interpreter`、`image_generation`、`mcp`、`shell`、`custom` 等返回 400 |
+| 其他未知顶层字段 | ➡️ | 只要整个请求是合法 JSON，字段名、结构和数值都会保留 |
+
+响应边界：
+
+- 非流式成功响应不做转换，OCI JSON 原样返回；usage 解析只用于面板调用日志
+- SSE 事件逐行原样转发，不补 `data: [DONE]`，推理增量也不会被网关过滤
+- 流建立前最多切换三个渠道；流建立后中断不重试，客户端可能只收到部分事件
+- 未知模型返回 404、无渠道返回 503；上游错误会套入 OpenAI 风格错误体，不保证与标准 OpenAI 错误字段完全相同
+
+实现依据：[`airesponses.go`](internal/service/airesponses.go) · [`responses.go`](internal/aiwire/responses.go) · [`aigateway.go`](internal/api/aigateway.go)
+
+</details>
+
+<details>
+<summary><code>POST /ai/v1/chat/completions</code> 对比 OpenAI Chat Completions</summary>
+
+Chat Completions 会先转换为 Responses 请求，再把 OCI Responses 响应桥接回 Chat Completions 形态。
+
+| 标准字段 | 状态 | 网关行为 |
+| --- | :---: | --- |
+| `model` | ◐ | 必填，受密钥白名单和可用渠道限制；模型名保留到上游请求 |
+| `messages` | 🔄 | 必填并转换为 Responses `input` / `instructions` |
+| `system` / `developer` 消息 | ◐ | 文本按出现顺序合并为 `instructions`；块数组中的非文本内容被忽略 |
+| `user` / `assistant` 文本内容 | 🔄 | 字符串及 `text` 块分别转为 `input_text` / `output_text` |
+| `image_url` 内容块 | ◐ | URL 或 data URI 转为 `input_image`；`image_url.detail` 被忽略 |
+| `input_audio`、`file`、`refusal` 等内容块 | ❌ | 当前消息转换器不支持，返回 400 |
+| assistant `tool_calls` / `role=tool` | 🔄 | 转为 `function_call` / `function_call_output`，保留调用 ID、函数名和参数 |
+| 消息 `name`、`refusal`、`audio`、旧式 `function_call` | ⚠️ | 当前消息结构未建模，静默忽略 |
+| `max_completion_tokens` | 🔄 | 转为 `max_output_tokens`，优先于 `max_tokens` |
+| `max_tokens` | 🔄 | 未提供 `max_completion_tokens` 时转为 `max_output_tokens` |
+| `temperature`、`top_p`、`parallel_tool_calls` | ◐ | 原值写入 Responses 请求，但不校验范围或模型能力 |
+| `stream` | 🔄 | OCI Responses SSE 桥接为 `chat.completion.chunk`，末尾补 `data: [DONE]`；上游断流且尚无输出时自动降级非流式重做，结果按 chunk 序列一次推送 |
+| `stream_options.include_usage` | 🔄 | 控制网关在终块后追加 `choices: []` 的 usage 块 |
+| `stream_options.include_obfuscation` | ⚠️ | 未建模，静默忽略 |
+| `tools[].type=function` | ◐ | `name`、`description`、`parameters` 支持；`function.strict` 被忽略 |
+| `tools[].type=custom` 及其他工具 | ❌ | 只接受 `function`，其他类型返回 400 |
+| `tool_choice` | ◐ | 支持 `auto` / `none` / `required` 和具名 function；非法或未知值被静默忽略 |
+| `response_format` | ◐ | `json_object`、`json_schema` 转为 Responses `text.format`；未知类型交给 OCI 处理 |
+| `reasoning_effort` | ◐ | 转小写后映射为 `reasoning.effort`，不校验模型或档位 |
+| `store` | ⚠️ / 🔄 | 客户端字段被忽略，转换后的上游请求始终使用 `store:false` |
+| `stop`、`seed`、`n`、`frequency_penalty`、`presence_penalty` | ⚠️ | 静默忽略；`n` 因此恒为单个 choice |
+| `logprobs`、`top_logprobs`、`logit_bias`、`user` | ⚠️ | 静默忽略 |
+| `audio`、`modalities`、`prediction`、`metadata`、`moderation` | ⚠️ | 静默忽略 |
+| `prompt_cache_key`、`safety_identifier`、`service_tier`、`verbosity`、`web_search_options` | ⚠️ | 静默忽略 |
+| 其他未知字段 | ⚠️ | JSON 解码器不会拒绝未知字段，但转换后的上游请求不包含它们 |
+
+响应边界：
+
+- 非流式固定生成一个 `choices[0]`；文本会合并，函数调用转为 `tool_calls`
+- `finish_reason` 只生成 `stop`、`tool_calls`、`length`；其他上游终止原因不保留
+- reasoning 输出、logprobs、refusal、annotations、audio、service tier 和 system fingerprint 不返回
+- usage 保留 `prompt_tokens`、`completion_tokens`、`total_tokens` 和 `prompt_tokens_details.cached_tokens`
+- 已建立的流中断或上游 `response.failed` 不会转换成标准 SSE 错误事件
+
+实现依据：[`chatresponses.go`](internal/service/chatresponses.go) · [`openai.go`](internal/aiwire/openai.go) · [`aigateway.go`](internal/api/aigateway.go)
+
+</details>
+
+<details>
+<summary><code>POST /ai/v1/embeddings</code> 对比 OpenAI Embeddings</summary>
+
+| 标准字段 | 状态 | 网关行为 |
+| --- | :---: | --- |
+| `model` | ◐ | 必填，受密钥白名单限制，并且必须存在具有 `EMBEDDING` 能力的渠道 |
+| `input` 为字符串 | ✅ | 包装为单个输入后调用 OCI |
+| `input` 为字符串数组 | ✅ | 按原顺序调用 OCI |
+| `input` 为 token ID 数组或二维 token ID 数组 | ❌ | 只能解码字符串或字符串数组，绑定阶段返回 400 |
+| 空数组 / `null` | ❌ | 本地返回 400；空字符串不在本地拒绝，由 OCI 决定 |
+| `dimensions` | ◐ | 映射为 OCI 输出维度，不做范围或模型能力校验 |
+| `encoding_format=float` | ✅ | 返回 float 数组；省略时行为相同 |
+| `encoding_format=base64` | ❌ | 本地返回 400，不提供 base64 响应 |
+| `user` | ⚠️ | 能解析但不会传给 OCI |
+| 其他未知字段 | ⚠️ | 静默忽略 |
+
+响应使用标准的 `object:"list"`、`data[].object:"embedding"`、`index`、`model` 和可选 `usage` 外壳；向量为 `float32` 数组，不支持流式。
+
+实现依据：[`embeddings.go`](internal/aiwire/embeddings.go) · [`aigateway_chat.go`](internal/service/aigateway_chat.go) · [`aigateway.go`](internal/api/aigateway.go)
+
+</details>
+
+<details>
+<summary><code>POST /ai/v1/messages</code> 对比 Anthropic Messages</summary>
+
+网关接受 `Authorization: Bearer` 或 `x-api-key`，但不会校验或使用标准 Anthropic `anthropic-version`、`anthropic-beta` 请求头。
+
+| 标准字段 | 状态 | 网关行为 |
+| --- | :---: | --- |
+| `model` | ◐ | 用于模型与渠道选择，但空字符串不会在 handler 中按参数错误拒绝，通常最终返回模型不存在 |
+| `max_tokens` | 🔄 | 可缺省（缺省或 ≤0 时按默认值 8192），转换为 `max_output_tokens` |
+| `messages` | ◐ | 必须非空；角色、交替顺序和空内容不做完整校验 |
+| `system` | ◐ | 支持字符串或 text 块数组；多个文本块直接拼接，`cache_control` 等附加字段被忽略 |
+| `temperature`、`top_p` | ◐ | 写入 Responses 请求，不做取值范围或模型能力校验 |
+| `top_k` | ⚠️ | 能解析但不会传给上游 |
+| `stop_sequences` | ⚠️ | 能解析但不会传给上游；响应 `stop_sequence` 恒为 `null` |
+| `stream` | 🔄 | Responses SSE 桥接为 Anthropic 事件序列；上游断流且尚无输出时自动降级非流式重做，结果按事件序列一次推送 |
+| `tools` | ◐ | 每个工具都转换成 Responses `function`；自定义客户端工具可用，Anthropic 服务端工具类型不保留原语义 |
+| `tool_choice` | ◐ | 支持 `auto`、`any`、`none`、具名 `tool`；`disable_parallel_tool_use` 等附加字段被忽略 |
+| `metadata` | ⚠️ | 能解析但不会传给上游 |
+| `thinking` | ⚠️ | 顶层 thinking 配置不会控制上游思考预算 |
+| `output_config.effort` | 🔄 | 转小写后映射为 Responses `reasoning.effort` |
+| `output_config` 其他子字段 | ⚠️ | 未建模，静默忽略 |
+| `cache_control`、`container`、`inference_geo`、`service_tier` | ⚠️ | 标准 SDK 中存在，但当前请求结构未建模，静默忽略 |
+| 其他未知顶层字段 | ⚠️ | JSON 解码器接受，但转换后的上游请求不包含它们 |
+
+`messages[].content`：
+
+| 标准内容块 | 状态 | 网关行为 |
+| --- | :---: | --- |
+| 字符串 / `text` | 🔄 | user 转 `input_text`，assistant 历史转 `output_text` |
+| `image` | ◐ | 仅支持 `base64` 和 `url` source；缺字段或其他 source 类型返回 400 |
+| `tool_use` | 🔄 | 转为 `function_call`，保留 ID、名称和输入 |
+| `tool_result` | ◐ | 转为 `function_call_output`；块数组只拼接 text，`is_error` 和非文本结果丢失 |
+| `thinking` / `redacted_thinking` | ⚠️ | 历史思考块被删除，不进入上游上下文 |
+| `document`、服务端工具结果及其他未知块 | ❌ | 返回 400 |
+| `null` / 空块数组 | ◐ | 该消息可能从上游 input 中消失，不返回参数错误 |
+
+响应边界：
+
+- 非流式只把 Responses `output_text` 转成 `text`、`function_call` 转成 `tool_use`
+- `stop_reason` 只生成 `end_turn`、`tool_use`、`max_tokens`；`stop_sequence` 恒为 `null`
+- reasoning 不会生成 Anthropic `thinking` / `redacted_thinking` 块，也没有 signature
+- usage 只保留 `input_tokens`、`output_tokens` 和 `cache_read_input_tokens`，不提供 `cache_creation_input_tokens`
+- 流式输出标准事件骨架，但不生成 `thinking_delta` 和 `signature_delta`；上游错误事件与无终态断流会转成 Anthropic `error` 事件
+
+实现依据：[`anthresponses.go`](internal/service/anthresponses.go) · [`anthropic.go`](internal/aiwire/anthropic.go) · [`aigateway.go`](internal/api/aigateway.go)
+
+</details>
+
+`GET /ai/v1/models` 使用 OpenAI Models 列表外壳（`object`、`data[].id/object/created/owned_by`），但只返回当前渠道目录中通过分组、全局黑名单和密钥白名单筛选后的模型；网关不提供标准的单模型检索端点。
+
+## API 与配置
+
+### API 文档
+
+| 路径 | 鉴权 | 用途 |
+| --- | --- | --- |
+| `/api/v1/*` | 登录返回的 JWT Bearer Token | 面板管理 API |
+| `/ai/v1/*` | AI 网关密钥 | OpenAI / Anthropic 兼容接口 |
+| `/api/v1/webhooks/oci-logs/:secret` | URL 中的独立回传密钥 | OCI Notifications 日志回传 |
+
+OpenAPI 文件随仓库维护：[`docs/swagger.yaml`](docs/swagger.yaml) · [`docs/swagger.json`](docs/swagger.json)。
+
+运行进程时设置 `SWAGGER=1` 可开放 `/swagger/index.html`。Swagger 默认关闭，生产环境建议仅在受控网络内按需开启。接口注释变更后必须重新生成 OpenAPI。
+
+### 环境变量

 | 变量 | 必填 | 默认值 | 说明 |
-| --- | --- | --- | --- |
-| `DATA_KEY` | 是 | 无 | 敏感字段加密主密钥（更换后已入库密文无法解密） |
-| `JWT_SECRET` | 是 | 无 | 登录令牌签名密钥 |
+| --- | :---: | --- | --- |
+| `DATA_KEY` | 是 | — | 敏感字段加密主密钥；必须持久保存，不能随意轮换 |
+| `JWT_SECRET` | 是 | — | JWT 签名密钥；更换会使已有登录令牌失效 |
 | `ADMIN_USERNAME` | 否 | `admin` | 初始管理员用户名 |
-| `ADMIN_PASSWORD` | 首次启动是 | 无 | 仅在用户不存在时创建；已存在不重置 |
+| `ADMIN_PASSWORD` | 首次启动 | — | 仅在数据库无用户时创建管理员，不会重置已有密码 |
 | `ADDR` | 否 | `:8080` | HTTP 监听地址 |
-| `DB_DRIVER` | 否 | `sqlite` | `sqlite` / `mysql` / `postgres`（后两者 experimental） |
-| `DB_DSN` | 外部库时是 | 无 | MySQL 需 `parseTime=True`；PostgreSQL 标准 DSN |
-| `DB_PATH` | 否 | `oci-portal.db` | SQLite 文件路径 |
-| `PUBLIC_URL` | 否 | 无 | 面板公网基址，日志回传一键创建链路用 |
-| `HTTPS_PROXY` | 否 | 无 | 出站代理（如 Telegram 通知走代理） |
-| `TZ` | 否 | 系统 | cron 表达式解释时区（容器内建议显式设置，二进制已嵌 tzdata） |
-| `SWAGGER` | 否 | 关 | `1` 时开放 `/swagger/index.html` API 文档（生产建议按需临时开启） |
-| `GIN_MODE` | 否 | `release` | `debug` / `release`，影响日志与调试输出 |
+| `DB_DRIVER` | 否 | `sqlite` | `sqlite` / `mysql` / `postgres`；后两者为 experimental |
+| `DB_PATH` | SQLite | `oci-portal.db` | SQLite 文件路径 |
+| `DB_DSN` | 外部数据库 | — | MySQL 需 `parseTime=True`；不要在日志或文档中暴露凭据 |
+| `PUBLIC_URL` | 否 | — | 面板公网基址，作为 OAuth 回调和日志回传引导的回退值 |
+| `TZ` | 否 | 系统时区 | cron 表达式的解释时区；容器示例使用 `Asia/Shanghai` |
+| `HTTP_PROXY` / `HTTPS_PROXY` / `NO_PROXY` | 否 | — | Go 标准出站代理变量；面板内显式代理配置优先用于对应业务 |
+| `SWAGGER` | 否 | 关闭 | 设为 `1` 时开放 Swagger UI |
+| `GIN_MODE` | 否 | `release` | `debug` / `release` |
+
+## 升级与备份
+
+- 升级前同时备份 `.env` 和数据库；SQLite Compose 部署的数据文件为 `data/oci-portal.db`
+- 保持 `DATA_KEY` 不变；只恢复数据库而没有原密钥，敏感字段无法解密
+- 服务启动时会自动执行数据库迁移；跨版本升级前先阅读 [CHANGELOG](CHANGELOG.md)
+- Compose 部署使用 `docker compose pull && docker compose up -d` 更新镜像
+- OCI API Key 应遵循最小权限原则；生产环境保持 Swagger 关闭并限制管理面访问来源

 ## 开发

 ```bash
-go test ./...            # 全量测试
-go vet ./... && gofmt -l .
-go tool swag init -g cmd/server/main.go -o docs --parseInternal --parseDependency   # 接口注释变更后重新生成 OpenAPI
+gofmt -l .
+go vet ./...
+go test ./...
+
+# Handler 注释变更后重新生成唯一的对外 API 文档。
+go tool swag init -g cmd/server/main.go -o docs --parseInternal --parseDependency
 ```

-API 文档：全部接口带 swaggo 注释，`SWAGGER=1` 启动后访问 `/swagger/index.html`；spec 文件在 `docs/swagger.json|yaml`。
-
-编码规范与项目约定见 [AGENTS.md](AGENTS.md) 与 [.trellis/spec/](.trellis/spec/)。
+- Go 后端规范与目录约定：[`AGENTS.md`](AGENTS.md) · [`.trellis/spec/backend/`](.trellis/spec/backend/)
+- 前端开发与构建：[oci-portal-dash](https://github.com/wangdefaa/oci-portal-dash)
+- 版本变更：[`CHANGELOG.md`](CHANGELOG.md)

 ## License

@@ -135,7 +135,7 @@ func run() error {
 	defer aiGateway.Wait()
 	defer stopCleanup()
 	tasks := service.NewTaskService(db, ociConfigs, notifier, settings)
-	ociConfigs.SetTenantCleanupDeps(tasks, logEvents)
+	ociConfigs.SetTenantCleanupDeps(tasks)
 	tasks.AttachAiGateway(aiGateway)
 	aiGateway.SetOnChannelsChanged(tasks.SyncAiProbeTask)
 	if err := tasks.Start(); err != nil {
@@ -147,6 +147,8 @@ func run() error {
 	console := service.NewConsoleService(ociConfigs)
 	proxies := service.NewProxyService(db, cipher)
 	defer proxies.Wait()
+	// 「关于」页存储指标需知数据库形态
+	api.SetAboutRuntime(cfg.DBDriver, cfg.DBPath)
 	router := api.NewRouter(auth, oauth, ociConfigs, tasks, console, settings, notifier, systemLogs, logEvents, proxies, aiGateway)
 	return serveHTTP(cfg.Addr, router)
 }
@@ -20,10 +20,10 @@ const docTemplate = `{
                "tags": [
                    "AI 网关"
                ],
-                "summary": "OpenAI 兼容对话补全",
+                "summary": "OpenAI Chat Completions 兼容端点",
                "parameters": [
                    {
-                        "description": "OpenAI chat/completions 请求体(支持 stream)",
+                        "description": "OpenAI chat/completions 请求体(支持 stream;经 Responses 转换直通)",
                        "name": "body",
                        "in": "body",
                        "required": true,
@@ -34,7 +34,7 @@ const docTemplate = `{
                ],
                "responses": {
                    "200": {
-                        "description": "OpenAI 兼容响应(流式为 SSE)",
+                        "description": "OpenAI 兼容响应(流式为 SSE,末尾 data: [DONE])",
                        "schema": {
                            "type": "object",
                            "additionalProperties": true
@@ -79,7 +79,7 @@ const docTemplate = `{
                "summary": "Anthropic Messages 兼容端点",
                "parameters": [
                    {
-                        "description": "Anthropic messages 请求体(支持 stream)",
+                        "description": "Anthropic messages 请求体(支持 stream;经 OCI OpenAI 兼容面直通;max_tokens 可缺省,默认 8192)",
                        "name": "body",
                        "in": "body",
                        "required": true,
@@ -124,7 +124,7 @@ const docTemplate = `{
                "summary": "OpenAI Responses 兼容端点",
                "parameters": [
                    {
-                        "description": "OpenAI responses 请求体(支持 stream)",
+                        "description": "OpenAI responses 请求体(支持 stream;web_search/x_search 服务端工具仅非流式)",
                        "name": "body",
                        "in": "body",
                        "required": true,
@@ -154,7 +154,7 @@ const docTemplate = `{
                "tags": [
                    "设置"
                ],
-                "summary": "返回构建与运行环境信息,「设置 · 关于」页展示",
+                "summary": "返回构建、运行时长与资源占用信息,「设置 · 关于」页展示",
                "responses": {
                    "200": {
                        "description": "OK",
@@ -166,6 +166,86 @@ const docTemplate = `{
                }
            }
        },
+        "/api/v1/ai-blacklist": {
+            "get": {
+                "security": [
+                    {
+                        "BearerAuth": []
+                    }
+                ],
+                "tags": [
+                    "AI 管理"
+                ],
+                "summary": "模型黑名单列表",
+                "responses": {
+                    "200": {
+                        "description": "OK",
+                        "schema": {
+                            "type": "object",
+                            "additionalProperties": true
+                        }
+                    }
+                }
+            },
+            "post": {
+                "security": [
+                    {
+                        "BearerAuth": []
+                    }
+                ],
+                "tags": [
+                    "AI 管理"
+                ],
+                "summary": "添加模型黑名单",
+                "parameters": [
+                    {
+                        "description": "请求体:{name: 模型名}",
+                        "name": "body",
+                        "in": "body",
+                        "required": true,
+                        "schema": {
+                            "type": "object"
+                        }
+                    }
+                ],
+                "responses": {
+                    "201": {
+                        "description": "Created",
+                        "schema": {
+                            "type": "object",
+                            "additionalProperties": true
+                        }
+                    }
+                }
+            }
+        },
+        "/api/v1/ai-blacklist/{id}": {
+            "delete": {
+                "security": [
+                    {
+                        "BearerAuth": []
+                    }
+                ],
+                "tags": [
+                    "AI 管理"
+                ],
+                "summary": "移除模型黑名单(重新同步后模型恢复入池)",
+                "parameters": [
+                    {
+                        "type": "integer",
+                        "description": "黑名单条目 ID",
+                        "name": "id",
+                        "in": "path",
+                        "required": true
+                    }
+                ],
+                "responses": {
+                    "204": {
+                        "description": "无内容"
+                    }
+                }
+            }
+        },
        "/api/v1/ai-channels": {
            "get": {
                "security": [
@@ -1102,124 +1182,6 @@ const docTemplate = `{
                }
            }
        },
-        "/api/v1/log-events/alert-rules": {
-            "get": {
-                "security": [
-                    {
-                        "BearerAuth": []
-                    }
-                ],
-                "tags": [
-                    "任务与日志回传"
-                ],
-                "summary": "告警规则列表",
-                "responses": {
-                    "200": {
-                        "description": "OK",
-                        "schema": {
-                            "type": "object",
-                            "additionalProperties": true
-                        }
-                    }
-                }
-            },
-            "post": {
-                "security": [
-                    {
-                        "BearerAuth": []
-                    }
-                ],
-                "tags": [
-                    "任务与日志回传"
-                ],
-                "summary": "创建告警规则",
-                "parameters": [
-                    {
-                        "description": "请求体",
-                        "name": "body",
-                        "in": "body",
-                        "required": true,
-                        "schema": {
-                            "$ref": "#/definitions/internal_api.alertRuleRequest"
-                        }
-                    }
-                ],
-                "responses": {
-                    "201": {
-                        "description": "Created",
-                        "schema": {
-                            "type": "object",
-                            "additionalProperties": true
-                        }
-                    }
-                }
-            }
-        },
-        "/api/v1/log-events/alert-rules/{ruleId}": {
-            "put": {
-                "security": [
-                    {
-                        "BearerAuth": []
-                    }
-                ],
-                "tags": [
-                    "任务与日志回传"
-                ],
-                "summary": "更新告警规则",
-                "parameters": [
-                    {
-                        "type": "integer",
-                        "description": "规则 ID",
-                        "name": "ruleId",
-                        "in": "path",
-                        "required": true
-                    },
-                    {
-                        "description": "请求体",
-                        "name": "body",
-                        "in": "body",
-                        "required": true,
-                        "schema": {
-                            "$ref": "#/definitions/internal_api.alertRuleRequest"
-                        }
-                    }
-                ],
-                "responses": {
-                    "200": {
-                        "description": "OK",
-                        "schema": {
-                            "type": "object",
-                            "additionalProperties": true
-                        }
-                    }
-                }
-            },
-            "delete": {
-                "security": [
-                    {
-                        "BearerAuth": []
-                    }
-                ],
-                "tags": [
-                    "任务与日志回传"
-                ],
-                "summary": "删除告警规则",
-                "parameters": [
-                    {
-                        "type": "integer",
-                        "description": "规则 ID",
-                        "name": "ruleId",
-                        "in": "path",
-                        "required": true
-                    }
-                ],
-                "responses": {
-                    "204": {
-                        "description": "无内容"
-                    }
-                }
-            }
-        },
        "/api/v1/oci-configs": {
            "get": {
                "security": [
@@ -5039,6 +5001,46 @@ const docTemplate = `{
                }
            }
        },
+        "/api/v1/proxies/{id}/tenants": {
+            "put": {
+                "security": [
+                    {
+                        "BearerAuth": []
+                    }
+                ],
+                "tags": [
+                    "设置"
+                ],
+                "summary": "设置代理关联的租户全集",
+                "parameters": [
+                    {
+                        "type": "integer",
+                        "description": "代理 ID",
+                        "name": "id",
+                        "in": "path",
+                        "required": true
+                    },
+                    {
+                        "description": "请求体 {\\",
+                        "name": "body",
+                        "in": "body",
+                        "required": true,
+                        "schema": {
+                            "type": "object"
+                        }
+                    }
+                ],
+                "responses": {
+                    "200": {
+                        "description": "usedBy",
+                        "schema": {
+                            "type": "object",
+                            "additionalProperties": true
+                        }
+                    }
+                }
+            }
+        },
        "/api/v1/regions": {
            "get": {
                "security": [
@@ -5738,7 +5740,7 @@ const docTemplate = `{
                "tags": [
                    "任务与日志回传"
                ],
-                "summary": "立即执行任务",
+                "summary": "立即执行任务(异步触发,结果经任务日志轮询获取)",
                "parameters": [
                    {
                        "type": "integer",
@@ -5749,8 +5751,15 @@ const docTemplate = `{
                    }
                ],
                "responses": {
-                    "200": {
-                        "description": "OK",
+                    "202": {
+                        "description": "Accepted",
+                        "schema": {
+                            "type": "object",
+                            "additionalProperties": true
+                        }
+                    },
+                    "409": {
+                        "description": "任务正在执行中",
                        "schema": {
                            "type": "object",
                            "additionalProperties": true
@@ -5804,38 +5813,6 @@ const docTemplate = `{
        }
    },
    "definitions": {
-        "internal_api.alertRuleRequest": {
-            "type": "object",
-            "properties": {
-                "enabled": {
-                    "type": "boolean"
-                },
-                "eventTypes": {
-                    "type": "string"
-                },
-                "name": {
-                    "type": "string"
-                },
-                "ociConfigId": {
-                    "type": "integer"
-                },
-                "resourceMatch": {
-                    "type": "string"
-                },
-                "sourceIpMode": {
-                    "type": "string"
-                },
-                "sourceIps": {
-                    "type": "string"
-                },
-                "threshold": {
-                    "type": "integer"
-                },
-                "windowMinutes": {
-                    "type": "integer"
-                }
-            }
-        },
        "internal_api.attachBootVolumeRequest": {
            "type": "object",
            "required": [
@@ -13,10 +13,10 @@
                "tags": [
                    "AI 网关"
                ],
-                "summary": "OpenAI 兼容对话补全",
+                "summary": "OpenAI Chat Completions 兼容端点",
                "parameters": [
                    {
-                        "description": "OpenAI chat/completions 请求体(支持 stream)",
+                        "description": "OpenAI chat/completions 请求体(支持 stream;经 Responses 转换直通)",
                        "name": "body",
                        "in": "body",
                        "required": true,
@@ -27,7 +27,7 @@
                ],
                "responses": {
                    "200": {
-                        "description": "OpenAI 兼容响应(流式为 SSE)",
+                        "description": "OpenAI 兼容响应(流式为 SSE,末尾 data: [DONE])",
                        "schema": {
                            "type": "object",
                            "additionalProperties": true
@@ -72,7 +72,7 @@
                "summary": "Anthropic Messages 兼容端点",
                "parameters": [
                    {
-                        "description": "Anthropic messages 请求体(支持 stream)",
+                        "description": "Anthropic messages 请求体(支持 stream;经 OCI OpenAI 兼容面直通;max_tokens 可缺省,默认 8192)",
                        "name": "body",
                        "in": "body",
                        "required": true,
@@ -117,7 +117,7 @@
                "summary": "OpenAI Responses 兼容端点",
                "parameters": [
                    {
-                        "description": "OpenAI responses 请求体(支持 stream)",
+                        "description": "OpenAI responses 请求体(支持 stream;web_search/x_search 服务端工具仅非流式)",
                        "name": "body",
                        "in": "body",
                        "required": true,
@@ -147,7 +147,7 @@
                "tags": [
                    "设置"
                ],
-                "summary": "返回构建与运行环境信息,「设置 · 关于」页展示",
+                "summary": "返回构建、运行时长与资源占用信息,「设置 · 关于」页展示",
                "responses": {
                    "200": {
                        "description": "OK",
@@ -159,6 +159,86 @@
                }
            }
        },
+        "/api/v1/ai-blacklist": {
+            "get": {
+                "security": [
+                    {
+                        "BearerAuth": []
+                    }
+                ],
+                "tags": [
+                    "AI 管理"
+                ],
+                "summary": "模型黑名单列表",
+                "responses": {
+                    "200": {
+                        "description": "OK",
+                        "schema": {
+                            "type": "object",
+                            "additionalProperties": true
+                        }
+                    }
+                }
+            },
+            "post": {
+                "security": [
+                    {
+                        "BearerAuth": []
+                    }
+                ],
+                "tags": [
+                    "AI 管理"
+                ],
+                "summary": "添加模型黑名单",
+                "parameters": [
+                    {
+                        "description": "请求体:{name: 模型名}",
+                        "name": "body",
+                        "in": "body",
+                        "required": true,
+                        "schema": {
+                            "type": "object"
+                        }
+                    }
+                ],
+                "responses": {
+                    "201": {
+                        "description": "Created",
+                        "schema": {
+                            "type": "object",
+                            "additionalProperties": true
+                        }
+                    }
+                }
+            }
+        },
+        "/api/v1/ai-blacklist/{id}": {
+            "delete": {
+                "security": [
+                    {
+                        "BearerAuth": []
+                    }
+                ],
+                "tags": [
+                    "AI 管理"
+                ],
+                "summary": "移除模型黑名单(重新同步后模型恢复入池)",
+                "parameters": [
+                    {
+                        "type": "integer",
+                        "description": "黑名单条目 ID",
+                        "name": "id",
+                        "in": "path",
+                        "required": true
+                    }
+                ],
+                "responses": {
+                    "204": {
+                        "description": "无内容"
+                    }
+                }
+            }
+        },
        "/api/v1/ai-channels": {
            "get": {
                "security": [
@@ -1095,124 +1175,6 @@
                }
            }
        },
-        "/api/v1/log-events/alert-rules": {
-            "get": {
-                "security": [
-                    {
-                        "BearerAuth": []
-                    }
-                ],
-                "tags": [
-                    "任务与日志回传"
-                ],
-                "summary": "告警规则列表",
-                "responses": {
-                    "200": {
-                        "description": "OK",
-                        "schema": {
-                            "type": "object",
-                            "additionalProperties": true
-                        }
-                    }
-                }
-            },
-            "post": {
-                "security": [
-                    {
-                        "BearerAuth": []
-                    }
-                ],
-                "tags": [
-                    "任务与日志回传"
-                ],
-                "summary": "创建告警规则",
-                "parameters": [
-                    {
-                        "description": "请求体",
-                        "name": "body",
-                        "in": "body",
-                        "required": true,
-                        "schema": {
-                            "$ref": "#/definitions/internal_api.alertRuleRequest"
-                        }
-                    }
-                ],
-                "responses": {
-                    "201": {
-                        "description": "Created",
-                        "schema": {
-                            "type": "object",
-                            "additionalProperties": true
-                        }
-                    }
-                }
-            }
-        },
-        "/api/v1/log-events/alert-rules/{ruleId}": {
-            "put": {
-                "security": [
-                    {
-                        "BearerAuth": []
-                    }
-                ],
-                "tags": [
-                    "任务与日志回传"
-                ],
-                "summary": "更新告警规则",
-                "parameters": [
-                    {
-                        "type": "integer",
-                        "description": "规则 ID",
-                        "name": "ruleId",
-                        "in": "path",
-                        "required": true
-                    },
-                    {
-                        "description": "请求体",
-                        "name": "body",
-                        "in": "body",
-                        "required": true,
-                        "schema": {
-                            "$ref": "#/definitions/internal_api.alertRuleRequest"
-                        }
-                    }
-                ],
-                "responses": {
-                    "200": {
-                        "description": "OK",
-                        "schema": {
-                            "type": "object",
-                            "additionalProperties": true
-                        }
-                    }
-                }
-            },
-            "delete": {
-                "security": [
-                    {
-                        "BearerAuth": []
-                    }
-                ],
-                "tags": [
-                    "任务与日志回传"
-                ],
-                "summary": "删除告警规则",
-                "parameters": [
-                    {
-                        "type": "integer",
-                        "description": "规则 ID",
-                        "name": "ruleId",
-                        "in": "path",
-                        "required": true
-                    }
-                ],
-                "responses": {
-                    "204": {
-                        "description": "无内容"
-                    }
-                }
-            }
-        },
        "/api/v1/oci-configs": {
            "get": {
                "security": [
@@ -5032,6 +4994,46 @@
                }
            }
        },
+        "/api/v1/proxies/{id}/tenants": {
+            "put": {
+                "security": [
+                    {
+                        "BearerAuth": []
+                    }
+                ],
+                "tags": [
+                    "设置"
+                ],
+                "summary": "设置代理关联的租户全集",
+                "parameters": [
+                    {
+                        "type": "integer",
+                        "description": "代理 ID",
+                        "name": "id",
+                        "in": "path",
+                        "required": true
+                    },
+                    {
+                        "description": "请求体 {\\",
+                        "name": "body",
+                        "in": "body",
+                        "required": true,
+                        "schema": {
+                            "type": "object"
+                        }
+                    }
+                ],
+                "responses": {
+                    "200": {
+                        "description": "usedBy",
+                        "schema": {
+                            "type": "object",
+                            "additionalProperties": true
+                        }
+                    }
+                }
+            }
+        },
        "/api/v1/regions": {
            "get": {
                "security": [
@@ -5731,7 +5733,7 @@
                "tags": [
                    "任务与日志回传"
                ],
-                "summary": "立即执行任务",
+                "summary": "立即执行任务(异步触发,结果经任务日志轮询获取)",
                "parameters": [
                    {
                        "type": "integer",
@@ -5742,8 +5744,15 @@
                    }
                ],
                "responses": {
-                    "200": {
-                        "description": "OK",
+                    "202": {
+                        "description": "Accepted",
+                        "schema": {
+                            "type": "object",
+                            "additionalProperties": true
+                        }
+                    },
+                    "409": {
+                        "description": "任务正在执行中",
                        "schema": {
                            "type": "object",
                            "additionalProperties": true
@@ -5797,38 +5806,6 @@
        }
    },
    "definitions": {
-        "internal_api.alertRuleRequest": {
-            "type": "object",
-            "properties": {
-                "enabled": {
-                    "type": "boolean"
-                },
-                "eventTypes": {
-                    "type": "string"
-                },
-                "name": {
-                    "type": "string"
-                },
-                "ociConfigId": {
-                    "type": "integer"
-                },
-                "resourceMatch": {
-                    "type": "string"
-                },
-                "sourceIpMode": {
-                    "type": "string"
-                },
-                "sourceIps": {
-                    "type": "string"
-                },
-                "threshold": {
-                    "type": "integer"
-                },
-                "windowMinutes": {
-                    "type": "integer"
-                }
-            }
-        },
        "internal_api.attachBootVolumeRequest": {
            "type": "object",
            "required": [
@@ -1,26 +1,5 @@
 basePath: /
 definitions:
-  internal_api.alertRuleRequest:
-    properties:
-      enabled:
-        type: boolean
-      eventTypes:
-        type: string
-      name:
-        type: string
-      ociConfigId:
-        type: integer
-      resourceMatch:
-        type: string
-      sourceIpMode:
-        type: string
-      sourceIps:
-        type: string
-      threshold:
-        type: integer
-      windowMinutes:
-        type: integer
-    type: object
  internal_api.attachBootVolumeRequest:
    properties:
      bootVolumeId:
@@ -602,7 +581,7 @@ paths:
  /ai/v1/chat/completions:
    post:
      parameters:
-      - description: OpenAI chat/completions 请求体(支持 stream)
+      - description: OpenAI chat/completions 请求体(支持 stream;经 Responses 转换直通)
        in: body
        name: body
        required: true
@@ -610,11 +589,11 @@ paths:
          type: object
      responses:
        "200":
-          description: OpenAI 兼容响应(流式为 SSE)
+          description: 'OpenAI 兼容响应(流式为 SSE,末尾 data: [DONE])'
          schema:
            additionalProperties: true
            type: object
-      summary: OpenAI 兼容对话补全
+      summary: OpenAI Chat Completions 兼容端点
      tags:
      - AI 网关
  /ai/v1/embeddings:
@@ -638,7 +617,8 @@ paths:
  /ai/v1/messages:
    post:
      parameters:
-      - description: Anthropic messages 请求体(支持 stream)
+      - description: Anthropic messages 请求体(支持 stream;经 OCI OpenAI 兼容面直通;max_tokens
+          可缺省,默认 8192)
        in: body
        name: body
        required: true
@@ -667,7 +647,7 @@ paths:
  /ai/v1/responses:
    post:
      parameters:
-      - description: OpenAI responses 请求体(支持 stream)
+      - description: OpenAI responses 请求体(支持 stream;web_search/x_search 服务端工具仅非流式)
        in: body
        name: body
        required: true
@@ -692,9 +672,57 @@ paths:
            type: object
      security:
      - BearerAuth: []
-      summary: 返回构建与运行环境信息,「设置 · 关于」页展示
+      summary: 返回构建、运行时长与资源占用信息,「设置 · 关于」页展示
      tags:
      - 设置
+  /api/v1/ai-blacklist:
+    get:
+      responses:
+        "200":
+          description: OK
+          schema:
+            additionalProperties: true
+            type: object
+      security:
+      - BearerAuth: []
+      summary: 模型黑名单列表
+      tags:
+      - AI 管理
+    post:
+      parameters:
+      - description: '请求体:{name: 模型名}'
+        in: body
+        name: body
+        required: true
+        schema:
+          type: object
+      responses:
+        "201":
+          description: Created
+          schema:
+            additionalProperties: true
+            type: object
+      security:
+      - BearerAuth: []
+      summary: 添加模型黑名单
+      tags:
+      - AI 管理
+  /api/v1/ai-blacklist/{id}:
+    delete:
+      parameters:
+      - description: 黑名单条目 ID
+        in: path
+        name: id
+        required: true
+        type: integer
+      responses:
+        "204":
+          description: 无内容
+      security:
+      - BearerAuth: []
+      summary: 移除模型黑名单(重新同步后模型恢复入池)
+      tags:
+      - AI 管理
  /api/v1/ai-channels:
    get:
      responses:
@@ -1267,78 +1295,6 @@ paths:
      summary: 回传日志事件列表
      tags:
      - 任务与日志回传
-  /api/v1/log-events/alert-rules:
-    get:
-      responses:
-        "200":
-          description: OK
-          schema:
-            additionalProperties: true
-            type: object
-      security:
-      - BearerAuth: []
-      summary: 告警规则列表
-      tags:
-      - 任务与日志回传
-    post:
-      parameters:
-      - description: 请求体
-        in: body
-        name: body
-        required: true
-        schema:
-          $ref: '#/definitions/internal_api.alertRuleRequest'
-      responses:
-        "201":
-          description: Created
-          schema:
-            additionalProperties: true
-            type: object
-      security:
-      - BearerAuth: []
-      summary: 创建告警规则
-      tags:
-      - 任务与日志回传
-  /api/v1/log-events/alert-rules/{ruleId}:
-    delete:
-      parameters:
-      - description: 规则 ID
-        in: path
-        name: ruleId
-        required: true
-        type: integer
-      responses:
-        "204":
-          description: 无内容
-      security:
-      - BearerAuth: []
-      summary: 删除告警规则
-      tags:
-      - 任务与日志回传
-    put:
-      parameters:
-      - description: 规则 ID
-        in: path
-        name: ruleId
-        required: true
-        type: integer
-      - description: 请求体
-        in: body
-        name: body
-        required: true
-        schema:
-          $ref: '#/definitions/internal_api.alertRuleRequest'
-      responses:
-        "200":
-          description: OK
-          schema:
-            additionalProperties: true
-            type: object
-      security:
-      - BearerAuth: []
-      summary: 更新告警规则
-      tags:
-      - 任务与日志回传
  /api/v1/oci-configs:
    get:
      responses:
@@ -3713,6 +3669,31 @@ paths:
      summary: 手动重测代理出口地区,同步返回最新视图
      tags:
      - 设置
+  /api/v1/proxies/{id}/tenants:
+    put:
+      parameters:
+      - description: 代理 ID
+        in: path
+        name: id
+        required: true
+        type: integer
+      - description: 请求体 {\
+        in: body
+        name: body
+        required: true
+        schema:
+          type: object
+      responses:
+        "200":
+          description: usedBy
+          schema:
+            additionalProperties: true
+            type: object
+      security:
+      - BearerAuth: []
+      summary: 设置代理关联的租户全集
+      tags:
+      - 设置
  /api/v1/proxies/import:
    post:
      parameters:
@@ -4158,14 +4139,19 @@ paths:
        required: true
        type: integer
      responses:
-        "200":
-          description: OK
+        "202":
+          description: Accepted
+          schema:
+            additionalProperties: true
+            type: object
+        "409":
+          description: 任务正在执行中
          schema:
            additionalProperties: true
            type: object
      security:
      - BearerAuth: []
-      summary: 立即执行任务
+      summary: 立即执行任务(异步触发,结果经任务日志轮询获取)
      tags:
      - 任务与日志回传
  /api/v1/webhooks/oci-logs/{secret}:
@@ -20,6 +20,13 @@ type MessagesRequest struct {
 	ToolChoice    json.RawMessage `json:"tool_choice,omitempty"`
 	Metadata      json.RawMessage `json:"metadata,omitempty"`
 	Thinking      json.RawMessage `json:"thinking,omitempty"`
+	// OutputConfig 是 Anthropic 官方输出控制(effort 等);网关映射 effort 到 OCI reasoningEffort。
+	OutputConfig *AnthOutputConfig `json:"output_config,omitempty"`
+}
+
+// AnthOutputConfig 是 Anthropic Messages 顶层 output_config 对象。
+type AnthOutputConfig struct {
+	Effort string `json:"effort,omitempty"`
 }

 // SystemText 把顶层 system(string 或块数组)拍平为文本。
@@ -1,6 +1,6 @@
-// Package aiwire 定义 AI 网关的线格式类型:OpenAI Chat Completions(兼作网关内部
-// 中间表示 IR,因 OCI GENERIC 格式即其镜像)与 Anthropic Messages。零内部依赖,
-// oci 层与 service 层共同引用。
+// Package aiwire 定义 AI 网关的线格式类型:OpenAI Responses / Chat Completions /
+// Anthropic Messages / Embeddings 与通用记账、错误、模型列表结构。上游统一为
+// OCI OpenAI 兼容面。
 package aiwire

 import (
@@ -8,28 +8,6 @@ import (
 	"strings"
 )

-// ChatRequest 是 OpenAI /v1/chat/completions 请求体;TopK 为 OCI/Anthropic 扩展字段。
-type ChatRequest struct {
-	Model               string          `json:"model"`
-	Messages            []ChatMessage   `json:"messages"`
-	MaxTokens           *int            `json:"max_tokens,omitempty"`
-	MaxCompletionTokens *int            `json:"max_completion_tokens,omitempty"`
-	Temperature         *float64        `json:"temperature,omitempty"`
-	TopP                *float64        `json:"top_p,omitempty"`
-	TopK                *int            `json:"top_k,omitempty"`
-	FrequencyPenalty    *float64        `json:"frequency_penalty,omitempty"`
-	PresencePenalty     *float64        `json:"presence_penalty,omitempty"`
-	Stop                StringList      `json:"stop,omitempty"`
-	Seed                *int            `json:"seed,omitempty"`
-	N                   *int            `json:"n,omitempty"`
-	Stream              bool            `json:"stream,omitempty"`
-	StreamOptions       *StreamOptions  `json:"stream_options,omitempty"`
-	Tools               []Tool          `json:"tools,omitempty"`
-	ToolChoice          json.RawMessage `json:"tool_choice,omitempty"`
-	ResponseFormat      *ResponseFormat `json:"response_format,omitempty"`
-	ReasoningEffort     string          `json:"reasoning_effort,omitempty"`
-}
-
 // StringList 兼容 OpenAI stop 的 string 与 []string 两种线格式。
 type StringList []string

@@ -50,7 +28,75 @@ func (s *StringList) UnmarshalJSON(b []byte) error {
 	return nil
 }

-// StreamOptions 控制流式末尾是否附带 usage 事件。
+// Usage 是 token 用量。
+type Usage struct {
+	PromptTokens     int `json:"prompt_tokens"`
+	CompletionTokens int `json:"completion_tokens"`
+	TotalTokens      int `json:"total_tokens"`
+	// PromptTokensDetails 携带缓存命中细分;OCI 为隐式 prompt 缓存,只有读取计数
+	PromptTokensDetails *PromptTokensDetails `json:"prompt_tokens_details,omitempty"`
+}
+
+// PromptTokensDetails 是输入 token 细分(OpenAI prompt_tokens_details 同构)。
+type PromptTokensDetails struct {
+	CachedTokens int `json:"cached_tokens"`
+}
+
+// CachedTokens 返回缓存命中读取的 token 数;无细分时为 0。
+func (u *Usage) CachedTokens() int {
+	if u == nil || u.PromptTokensDetails == nil {
+		return 0
+	}
+	return u.PromptTokensDetails.CachedTokens
+}
+
+// Model 是 /v1/models 列表项。
+type Model struct {
+	ID      string `json:"id"`
+	Object  string `json:"object"`
+	Created int64  `json:"created"`
+	OwnedBy string `json:"owned_by"`
+}
+
+// ModelList 是 /v1/models 响应体。
+type ModelList struct {
+	Object string  `json:"object"`
+	Data   []Model `json:"data"`
+}
+
+// ErrorBody 是 OpenAI 格式错误响应。
+type ErrorBody struct {
+	Error ErrorDetail `json:"error"`
+}
+
+// ErrorDetail 是错误明细。
+type ErrorDetail struct {
+	Message string `json:"message"`
+	Type    string `json:"type"`
+	Code    string `json:"code,omitempty"`
+}
+
+// ---- Chat Completions 线格式(/ai/v1/chat/completions,Tier 2 兼容层)----
+
+// ChatRequest 是 OpenAI /v1/chat/completions 请求体;只声明网关读取的字段,
+// 无对应物的字段(stop / seed / n / penalty 等)由 JSON 解码天然忽略。
+type ChatRequest struct {
+	Model               string          `json:"model"`
+	Messages            []ChatMessage   `json:"messages"`
+	MaxTokens           *int            `json:"max_tokens,omitempty"`
+	MaxCompletionTokens *int            `json:"max_completion_tokens,omitempty"`
+	Temperature         *float64        `json:"temperature,omitempty"`
+	TopP                *float64        `json:"top_p,omitempty"`
+	ParallelToolCalls   *bool           `json:"parallel_tool_calls,omitempty"`
+	Stream              bool            `json:"stream,omitempty"`
+	StreamOptions       *StreamOptions  `json:"stream_options,omitempty"`
+	Tools               []Tool          `json:"tools,omitempty"`
+	ToolChoice          json.RawMessage `json:"tool_choice,omitempty"`
+	ResponseFormat      *ResponseFormat `json:"response_format,omitempty"`
+	ReasoningEffort     string          `json:"reasoning_effort,omitempty"`
+}
+
+// StreamOptions 控制流式末尾是否附带 usage 块。
 type StreamOptions struct {
 	IncludeUsage bool `json:"include_usage"`
 }
@@ -59,48 +105,31 @@ type StreamOptions struct {
 type ChatMessage struct {
 	Role       string     `json:"role"`
 	Content    Content    `json:"content"`
-	Name       string     `json:"name,omitempty"`
 	ToolCalls  []ToolCall `json:"tool_calls,omitempty"`
 	ToolCallID string     `json:"tool_call_id,omitempty"`
 }

-// Content 兼容 string 与多模态块数组两种线格式;一期仅透传文本。
+// Content 兼容 string 与多模态块数组两种线格式,序列化时保形。
 type Content struct {
-	// Text 在原始值为字符串时填充
 	Text    string
-	// Parts 在原始值为数组时填充
 	Parts   []ContentPart
-	// isArray 记录原始形态,序列化时保形
-	isArray bool
-}
-
-// ContentPart 是块数组中的一段;text 与 image_url 被网关处理,其余类型拒绝。
-type ContentPart struct {
-	Type     string    `json:"type"`
-	Text     string    `json:"text,omitempty"`
-	ImageURL *ImageURL `json:"image_url,omitempty"`
-}
-
-// ImageURL 是 image_url 块负载;url 为 data URI(base64)或公网地址,与 OCI ImageUrl 同构。
-type ImageURL struct {
-	URL    string `json:"url"`
-	Detail string `json:"detail,omitempty"`
+	IsArray bool
 }

 func (c *Content) UnmarshalJSON(b []byte) error {
-	trimmed := strings.TrimSpace(string(b))
-	if trimmed == "null" {
+	t := strings.TrimSpace(string(b))
+	if t == "null" {
 		return nil
 	}
-	if len(trimmed) > 0 && trimmed[0] == '[' {
-		c.isArray = true
+	if strings.HasPrefix(t, "[") {
+		c.IsArray = true
 		return json.Unmarshal(b, &c.Parts)
 	}
 	return json.Unmarshal(b, &c.Text)
 }

 func (c Content) MarshalJSON() ([]byte, error) {
-	if c.isArray {
+	if c.IsArray {
 		return json.Marshal(c.Parts)
 	}
 	return json.Marshal(c.Text)
@@ -111,14 +140,9 @@ func NewTextContent(text string) Content {
 	return Content{Text: text}
 }

-// NewPartsContent 构造块数组形态的内容(多模态消息用)。
-func NewPartsContent(parts []ContentPart) Content {
-	return Content{Parts: parts, isArray: true}
-}
-
-// JoinText 返回全部文本内容(数组形态拼接 text 块)。
+// JoinText 拍平内容为纯文本(数组形态拼接 text 块)。
 func (c Content) JoinText() string {
-	if !c.isArray {
+	if !c.IsArray {
 		return c.Text
 	}
 	var sb strings.Builder
@@ -130,23 +154,20 @@ func (c Content) JoinText() string {
 	return sb.String()
 }

-// HasUnsupported 报告是否含网关无法承接的内容块(text / image_url 之外的类型)。
-func (c Content) HasUnsupported() bool {
-	for _, p := range c.Parts {
-		switch p.Type {
-		case "", "text":
-		case "image_url":
-			if p.ImageURL == nil || p.ImageURL.URL == "" {
-				return true
-			}
-		default:
-			return true
-		}
-	}
-	return false
+// ContentPart 是块数组中的一段;text 与 image_url 被网关承接,其余类型拒绝。
+type ContentPart struct {
+	Type     string    `json:"type"`
+	Text     string    `json:"text,omitempty"`
+	ImageURL *ImageURL `json:"image_url,omitempty"`
 }

-// Tool 是 function 工具定义。
+// ImageURL 是 image_url 块负载;url 为 data URI(base64)或公网地址。
+type ImageURL struct {
+	URL    string `json:"url"`
+	Detail string `json:"detail,omitempty"`
+}
+
+// Tool 是嵌套形态的 function 工具定义。
 type Tool struct {
 	Type     string      `json:"type"`
 	Function FunctionDef `json:"function"`
@@ -178,7 +199,7 @@ type ResponseFormat struct {
 	JSONSchema json.RawMessage `json:"json_schema,omitempty"`
 }

-// ChatResponse 是非流式响应体。
+// ChatResponse 是非流式响应体(chat.completion)。
 type ChatResponse struct {
 	ID      string   `json:"id"`
 	Object  string   `json:"object"`
@@ -195,28 +216,6 @@ type Choice struct {
 	FinishReason string      `json:"finish_reason"`
 }

-// Usage 是 token 用量。
-type Usage struct {
-	PromptTokens     int `json:"prompt_tokens"`
-	CompletionTokens int `json:"completion_tokens"`
-	TotalTokens      int `json:"total_tokens"`
-	// PromptTokensDetails 携带缓存命中细分;OCI 为隐式 prompt 缓存,只有读取计数
-	PromptTokensDetails *PromptTokensDetails `json:"prompt_tokens_details,omitempty"`
-}
-
-// PromptTokensDetails 是输入 token 细分(OpenAI prompt_tokens_details 同构)。
-type PromptTokensDetails struct {
-	CachedTokens int `json:"cached_tokens"`
-}
-
-// CachedTokens 返回缓存命中读取的 token 数;无细分时为 0。
-func (u *Usage) CachedTokens() int {
-	if u == nil || u.PromptTokensDetails == nil {
-		return 0
-	}
-	return u.PromptTokensDetails.CachedTokens
-}
-
 // ChatChunk 是流式增量事件体(chat.completion.chunk)。
 type ChatChunk struct {
 	ID      string        `json:"id"`
@@ -254,29 +253,3 @@ type FunctionCallDelta struct {
 	Name      string `json:"name,omitempty"`
 	Arguments string `json:"arguments,omitempty"`
 }
-
-// Model 是 /v1/models 列表项。
-type Model struct {
-	ID      string `json:"id"`
-	Object  string `json:"object"`
-	Created int64  `json:"created"`
-	OwnedBy string `json:"owned_by"`
-}
-
-// ModelList 是 /v1/models 响应体。
-type ModelList struct {
-	Object string  `json:"object"`
-	Data   []Model `json:"data"`
-}
-
-// ErrorBody 是 OpenAI 格式错误响应。
-type ErrorBody struct {
-	Error ErrorDetail `json:"error"`
-}
-
-// ErrorDetail 是错误明细。
-type ErrorDetail struct {
-	Message string `json:"message"`
-	Type    string `json:"type"`
-	Code    string `json:"code,omitempty"`
-}
@@ -156,39 +156,6 @@ type RespReasoning struct {
 	Effort string `json:"effort,omitempty"`
 }

-// Response 是 /responses 响应对象。
-type Response struct {
-	ID                string          `json:"id"`
-	Object            string          `json:"object"`
-	CreatedAt         int64           `json:"created_at"`
-	Status            string          `json:"status"`
-	Model             string          `json:"model"`
-	Output            []RespOutItem   `json:"output"`
-	Usage             *RespUsage      `json:"usage,omitempty"`
-	Error             *RespError      `json:"error"`
-	IncompleteDetails *RespIncomplete `json:"incomplete_details"`
-	Store             bool            `json:"store"`
-}
-
-// RespOutItem 是 output 数组项:message 或 function_call。
-type RespOutItem struct {
-	Type      string        `json:"type"`
-	ID        string        `json:"id"`
-	Status    string        `json:"status,omitempty"`
-	Role      string        `json:"role,omitempty"`
-	Content   []RespOutPart `json:"content,omitempty"`
-	CallID    string        `json:"call_id,omitempty"`
-	Name      string        `json:"name,omitempty"`
-	Arguments string        `json:"arguments,omitempty"`
-}
-
-// RespOutPart 是 message item 的内容部件(output_text)。
-type RespOutPart struct {
-	Type        string `json:"type"`
-	Text        string `json:"text"`
-	Annotations []any  `json:"annotations"`
-}
-
 // RespUsage 是 Responses 口径的用量(input/output 命名)。
 type RespUsage struct {
 	InputTokens         int            `json:"input_tokens"`
@@ -1,8 +1,11 @@
 package api

 import (
+	"math"
 	"net/http"
+	"os"
 	"runtime"
+	"time"

 	"github.com/gin-gonic/gin"
 )
@@ -12,11 +15,20 @@ import (
 var (
 	buildVersion = "dev"
 	buildTime    = ""
+	// startedAt 为进程启动时刻,运行时长与 CPU 均值的计算基准
+	startedAt = time.Now()
+	// aboutDB 由 main 启动时注入,存储指标据此定位数据库文件
+	aboutDB struct{ driver, path string }
 )

+// SetAboutRuntime 注入数据库形态,「关于」页存储指标展示用;启动时调用一次。
+func SetAboutRuntime(dbDriver, dbPath string) {
+	aboutDB.driver, aboutDB.path = dbDriver, dbPath
+}
+
 // about 返回构建与运行环境信息,「设置 · 关于」页展示。
 //
-// @Summary  返回构建与运行环境信息,「设置 · 关于」页展示
+// @Summary  返回构建、运行时长与资源占用信息,「设置 · 关于」页展示
 // @Tags     设置
 // @Success  200 {object} map[string]any
 // @Security BearerAuth
@@ -27,5 +39,43 @@ func about(c *gin.Context) {
 		"buildTime":     buildTime,
 		"goVersion":     runtime.Version(),
 		"platform":      runtime.GOOS + "/" + runtime.GOARCH,
+		"startedAt":     startedAt.UTC().Format(time.RFC3339),
+		"uptimeSeconds": int64(time.Since(startedAt).Seconds()),
+		"resources":     resourcesSnapshot(),
 	})
 }
+
+// resourcesSnapshot 采集进程资源占用:CPU 自启动均值、内存、goroutine 与存储。
+func resourcesSnapshot() gin.H {
+	var ms runtime.MemStats
+	runtime.ReadMemStats(&ms)
+	pct := 0.0
+	if up := time.Since(startedAt).Seconds(); up > 0 {
+		// 多核并行时均值可超 100%,口径为「占单核百分比」
+		pct = processCPUTime().Seconds() / up * 100
+	}
+	return gin.H{
+		"cpuAvgPercent": math.Round(pct*100) / 100,
+		"numCpu":        runtime.NumCPU(),
+		"goroutines":    runtime.NumGoroutine(),
+		"memHeapBytes":  ms.HeapAlloc,
+		"memSysBytes":   ms.Sys,
+		"dbEngine":      aboutDB.driver,
+		"dbBytes":       dbFileBytes(aboutDB.driver, aboutDB.path),
+	}
+}
+
+// dbFileBytes 统计数据库磁盘占用:sqlite 累加主文件与 -wal / -shm,
+// 外部数据库(mysql / postgres)不可从本机度量,返回 -1 表示不可用。
+func dbFileBytes(driver, path string) int64 {
+	if driver != "sqlite" || path == "" {
+		return -1
+	}
+	var total int64
+	for _, p := range []string{path, path + "-wal", path + "-shm"} {
+		if fi, err := os.Stat(p); err == nil {
+			total += fi.Size()
+		}
+	}
+	return total
+}
@@ -0,0 +1,8 @@
+//go:build !unix
+
+package api
+
+import "time"
+
+// processCPUTime 非 unix 平台无 getrusage,CPU 均值退化为 0。
+func processCPUTime() time.Duration { return 0 }
@@ -0,0 +1,57 @@
+package api
+
+import (
+	"os"
+	"path/filepath"
+	"testing"
+)
+
+func TestDBFileBytes(t *testing.T) {
+	dir := t.TempDir()
+	dbPath := filepath.Join(dir, "app.db")
+	mustWrite := func(p string, n int) {
+		t.Helper()
+		if err := os.WriteFile(p, make([]byte, n), 0o600); err != nil {
+			t.Fatalf("write %s: %v", p, err)
+		}
+	}
+	mustWrite(dbPath, 100)
+	mustWrite(dbPath+"-wal", 30)
+
+	cases := []struct {
+		name   string
+		driver string
+		path   string
+		want   int64
+	}{
+		{name: "sqlite 主文件加 wal", driver: "sqlite", path: dbPath, want: 130},
+		{name: "sqlite 文件不存在计 0", driver: "sqlite", path: filepath.Join(dir, "none.db"), want: 0},
+		{name: "外部数据库不可度量", driver: "postgres", path: "", want: -1},
+		{name: "路径为空不可度量", driver: "sqlite", path: "", want: -1},
+	}
+	for _, tc := range cases {
+		t.Run(tc.name, func(t *testing.T) {
+			if got := dbFileBytes(tc.driver, tc.path); got != tc.want {
+				t.Fatalf("dbFileBytes(%q, %q) = %d, want %d", tc.driver, tc.path, got, tc.want)
+			}
+		})
+	}
+}
+
+func TestResourcesSnapshot(t *testing.T) {
+	SetAboutRuntime("sqlite", filepath.Join(t.TempDir(), "absent.db"))
+	got := resourcesSnapshot()
+
+	if got["numCpu"].(int) < 1 || got["goroutines"].(int) < 1 {
+		t.Fatalf("numCpu / goroutines 应为正数: %+v", got)
+	}
+	if got["memHeapBytes"].(uint64) == 0 || got["memSysBytes"].(uint64) == 0 {
+		t.Fatalf("内存指标应为正数: %+v", got)
+	}
+	if got["cpuAvgPercent"].(float64) < 0 {
+		t.Fatalf("cpuAvgPercent 不应为负: %+v", got)
+	}
+	if got["dbEngine"].(string) != "sqlite" || got["dbBytes"].(int64) != 0 {
+		t.Fatalf("存储指标不符: %+v", got)
+	}
+}
@@ -0,0 +1,18 @@
+//go:build unix
+
+package api
+
+import (
+	"syscall"
+	"time"
+)
+
+// processCPUTime 返回进程自启动累计的 CPU 时间(用户态 + 内核态);
+// 取不到时返回 0,「关于」页 CPU 均值显示为 0 而非报错。
+func processCPUTime() time.Duration {
+	var ru syscall.Rusage
+	if err := syscall.Getrusage(syscall.RUSAGE_SELF, &ru); err != nil {
+		return 0
+	}
+	return time.Duration(ru.Utime.Nano() + ru.Stime.Nano())
+}
@@ -43,12 +43,13 @@ func (h *aiAdminHandler) createKey(c *gin.Context) {
 		Name   string   `json:"name" binding:"required"`
 		Value  string   `json:"value"`
 		Group  string   `json:"group"`
+		Models []string `json:"models"`
 	}
 	if err := c.ShouldBindJSON(&req); err != nil {
 		c.JSON(http.StatusBadRequest, gin.H{"error": err.Error()})
 		return
 	}
-	plaintext, key, err := h.gw.CreateKey(c.Request.Context(), req.Name, req.Value, req.Group)
+	plaintext, key, err := h.gw.CreateKey(c.Request.Context(), req.Name, req.Value, req.Group, req.Models)
 	if err != nil {
 		c.JSON(http.StatusBadRequest, gin.H{"error": err.Error()})
 		return
@@ -72,12 +73,13 @@ func (h *aiAdminHandler) updateKey(c *gin.Context) {
 		Name    string    `json:"name"`
 		Enabled *bool     `json:"enabled"`
 		Group   *string   `json:"group"`
+		Models  *[]string `json:"models"`
 	}
 	if err := c.ShouldBindJSON(&req); err != nil {
 		c.JSON(http.StatusBadRequest, gin.H{"error": err.Error()})
 		return
 	}
-	if err := h.gw.UpdateKey(c.Request.Context(), id, req.Name, req.Enabled, req.Group); err != nil {
+	if err := h.gw.UpdateKey(c.Request.Context(), id, req.Name, req.Enabled, req.Group, req.Models); err != nil {
 		respondError(c, err)
 		return
 	}
@@ -285,6 +287,64 @@ func (h *aiAdminHandler) gatewayModels(c *gin.Context) {
 	c.JSON(http.StatusOK, gin.H{"items": list.Data})
 }

+// ---- 模型黑名单 ----
+
+// @Summary  模型黑名单列表
+// @Tags     AI 管理
+// @Success  200 {object} map[string]any
+// @Security BearerAuth
+// @Router   /api/v1/ai-blacklist [get]
+func (h *aiAdminHandler) listBlacklist(c *gin.Context) {
+	items, err := h.gw.Blacklist(c.Request.Context())
+	if err != nil {
+		respondError(c, err)
+		return
+	}
+	c.JSON(http.StatusOK, gin.H{"items": items})
+}
+
+// addBlacklist 拉黑模型:删除全部渠道缓存中的同名条目,后续同步 / 探测均过滤。
+//
+// @Summary  添加模型黑名单
+// @Tags     AI 管理
+// @Param    body body object true "请求体:{name: 模型名}"
+// @Success  201 {object} map[string]any
+// @Security BearerAuth
+// @Router   /api/v1/ai-blacklist [post]
+func (h *aiAdminHandler) addBlacklist(c *gin.Context) {
+	var req struct {
+		Name string `json:"name" binding:"required"`
+	}
+	if err := c.ShouldBindJSON(&req); err != nil {
+		c.JSON(http.StatusBadRequest, gin.H{"error": err.Error()})
+		return
+	}
+	item, err := h.gw.AddBlacklist(c.Request.Context(), req.Name)
+	if err != nil {
+		c.JSON(http.StatusBadRequest, gin.H{"error": err.Error()})
+		return
+	}
+	c.JSON(http.StatusCreated, gin.H{"item": item})
+}
+
+// @Summary  移除模型黑名单(重新同步后模型恢复入池)
+// @Tags     AI 管理
+// @Param    id path int true "黑名单条目 ID"
+// @Success  204 "无内容"
+// @Security BearerAuth
+// @Router   /api/v1/ai-blacklist/{id} [delete]
+func (h *aiAdminHandler) removeBlacklist(c *gin.Context) {
+	id, ok := aiPathID(c)
+	if !ok {
+		return
+	}
+	if err := h.gw.RemoveBlacklist(c.Request.Context(), id); err != nil {
+		c.JSON(http.StatusBadRequest, gin.H{"error": err.Error()})
+		return
+	}
+	c.Status(http.StatusNoContent)
+}
+
 // @Summary  AI 调用日志列表
 // @Tags     AI 管理
 // @Success  200 {object} map[string]any
@@ -1,13 +1,15 @@
 package api

 import (
+	"bufio"
+	"bytes"
 	"crypto/rand"
 	"encoding/hex"
 	"encoding/json"
 	"errors"
-	"fmt"
 	"io"
 	"net/http"
+	"slices"
 	"strings"
 	"time"

@@ -86,6 +88,25 @@ func keyGroup(c *gin.Context) string {
 	return ""
 }

+// keyModels 取当前请求密钥的模型白名单(空 = 不限模型)。
+func keyModels(c *gin.Context) []string {
+	if key, ok := c.Get(aiKeyCtx); ok {
+		return key.(*model.AiKey).Models
+	}
+	return nil
+}
+
+// checkKeyModel 校验请求模型是否在密钥白名单内;拒绝时按端点协议返回
+// 404 model_not_found(与未知模型同口径,不泄露密钥配置细节)并返回 false。
+func checkKeyModel(c *gin.Context, modelName string) bool {
+	allowed := keyModels(c)
+	if len(allowed) == 0 || slices.Contains(allowed, modelName) {
+		return true
+	}
+	aiError(c, http.StatusNotFound, "model_not_found", "模型不存在或无权访问: "+modelName)
+	return false
+}
+
 // logEntry 组装调用日志骨架;usage / status 由调用方补齐。
 func (h *aiGatewayHandler) logEntry(c *gin.Context, endpoint, modelName string, stream bool, meta service.ChatMeta, start time.Time) model.AiCallLog {
 	entry := model.AiCallLog{
@@ -102,21 +123,6 @@ func (h *aiGatewayHandler) logEntry(c *gin.Context, endpoint, modelName string,
 }

 // validateIR 做协议无关的入参检查(模型名、消息、不支持的内容块)。
-func validateIR(ir aiwire.ChatRequest) error {
-	if strings.TrimSpace(ir.Model) == "" {
-		return fmt.Errorf("model 不能为空")
-	}
-	if len(ir.Messages) == 0 {
-		return fmt.Errorf("messages 不能为空")
-	}
-	for _, m := range ir.Messages {
-		if m.Content.HasUnsupported() {
-			return service.ErrAiUnsupportedBlock
-		}
-	}
-	return nil
-}
-
 // maybeLogContent 在调用密钥显式开启内容日志且未过期时写正文(红线例外);
 // respBody 为 nil 时只记请求(流式响应与向量结果不记录);callLogID 关联同次调用日志。
 func (h *aiGatewayHandler) maybeLogContent(c *gin.Context, callLogID uint, endpoint, modelName string, stream bool, reqBody, respBody any) {
@@ -147,47 +153,6 @@ func (h *aiGatewayHandler) logFailure(c *gin.Context, entry model.AiCallLog, req
 	h.maybeLogContent(c, callID, entry.Endpoint, entry.Model, entry.Stream, reqBody, nil)
 }

-// chatCompletions 是 OpenAI /ai/v1/chat/completions 端点。
-//
-// @Summary  OpenAI 兼容对话补全
-// @Tags     AI 网关
-// @Param    body body object true "OpenAI chat/completions 请求体(支持 stream)"
-// @Success  200 {object} map[string]any "OpenAI 兼容响应(流式为 SSE)"
-// @Router   /ai/v1/chat/completions [post]
-func (h *aiGatewayHandler) chatCompletions(c *gin.Context) {
-	var ir aiwire.ChatRequest
-	if err := c.ShouldBindJSON(&ir); err != nil {
-		aiError(c, http.StatusBadRequest, "invalid_request_error", err.Error())
-		return
-	}
-	if err := validateIR(ir); err != nil {
-		aiError(c, http.StatusBadRequest, "invalid_request_error", err.Error())
-		return
-	}
-	if ir.Stream {
-		h.streamOpenAI(c, ir)
-		return
-	}
-	start := time.Now()
-	resp, meta, err := h.gw.Chat(c.Request.Context(), ir, keyGroup(c))
-	entry := h.logEntry(c, "openai", ir.Model, false, meta, start)
-	if err != nil {
-		upstreamError(c, err)
-		entry.ErrMsg = err.Error()
-		h.logFailure(c, entry, ir)
-		return
-	}
-	resp.ID = aiRandID("chatcmpl-")
-	if resp.Created == 0 {
-		resp.Created = time.Now().Unix()
-	}
-	entry.Status = http.StatusOK
-	fillUsage(&entry, resp.Usage)
-	callID := h.gw.LogCall(entry)
-	h.maybeLogContent(c, callID, "openai", ir.Model, false, ir, resp)
-	c.JSON(http.StatusOK, resp)
-}
-
 func fillUsage(entry *model.AiCallLog, u *aiwire.Usage) {
 	if u == nil {
 		return
@@ -217,6 +182,9 @@ func (h *aiGatewayHandler) embeddings(c *gin.Context) {
 		aiError(c, http.StatusBadRequest, "invalid_request_error", "仅支持 encoding_format=float")
 		return
 	}
+	if !checkKeyModel(c, req.Model) {
+		return
+	}
 	start := time.Now()
 	resp, meta, err := h.gw.Embeddings(c.Request.Context(), req, keyGroup(c))
 	entry := h.logEntry(c, "embeddings", req.Model, false, meta, start)
@@ -235,44 +203,6 @@ func (h *aiGatewayHandler) embeddings(c *gin.Context) {
 	c.JSON(http.StatusOK, resp)
 }

-// streamOpenAI 以 OpenAI SSE 直通流式响应,末尾发 [DONE]。
-func (h *aiGatewayHandler) streamOpenAI(c *gin.Context, ir aiwire.ChatRequest) {
-	start := time.Now()
-	stream, meta, err := h.gw.OpenStream(c.Request.Context(), ir, keyGroup(c))
-	entry := h.logEntry(c, "openai", ir.Model, true, meta, start)
-	if err != nil {
-		upstreamError(c, err)
-		entry.ErrMsg = err.Error()
-		h.logFailure(c, entry, ir)
-		return
-	}
-	defer stream.Close()
-	sseHeaders(c)
-	id, created := aiRandID("chatcmpl-"), time.Now().Unix()
-	var usage *aiwire.Usage
-	for {
-		chunk, err := stream.Next()
-		if err != nil {
-			if !errors.Is(err, io.EOF) {
-				entry.ErrMsg = err.Error()
-			}
-			break
-		}
-		chunk.ID, chunk.Created = id, created
-		if chunk.Usage != nil {
-			usage = chunk.Usage
-		}
-		writeSSEData(c, chunk)
-	}
-	c.Writer.WriteString("data: [DONE]\n\n")
-	c.Writer.Flush()
-	entry.Status = http.StatusOK
-	entry.LatencyMs = time.Since(start).Milliseconds()
-	fillUsage(&entry, usage)
-	callID := h.gw.LogCall(entry)
-	h.maybeLogContent(c, callID, "openai", ir.Model, true, ir, nil)
-}
-
 func sseHeaders(c *gin.Context) {
 	c.Header("Content-Type", "text/event-stream")
 	c.Header("Cache-Control", "no-cache")
@@ -280,22 +210,15 @@ func sseHeaders(c *gin.Context) {
 	c.Writer.Flush()
 }

-func writeSSEData(c *gin.Context, v any) {
-	b, err := json.Marshal(v)
-	if err != nil {
-		return
-	}
-	c.Writer.WriteString("data: ")
-	c.Writer.Write(b)
-	c.Writer.WriteString("\n\n")
-	c.Writer.Flush()
-}
+// anthDefaultMaxTokens 是 max_tokens 缺省时的默认输出上限:Anthropic 协议
+// 该字段必填,但部分客户端当选填不传,按默认值放行而非 400 拒绝。
+const anthDefaultMaxTokens = 8192

 // messages 是 Anthropic /ai/v1/messages 端点。
 //
 // @Summary  Anthropic Messages 兼容端点
 // @Tags     AI 网关
-// @Param    body body object true "Anthropic messages 请求体(支持 stream)"
+// @Param    body body object true "Anthropic messages 请求体(支持 stream;经 OCI OpenAI 兼容面直通;max_tokens 可缺省,默认 8192)"
 // @Success  200 {object} map[string]any "Anthropic 兼容响应(流式为 SSE)"
 // @Router   /ai/v1/messages [post]
 func (h *aiGatewayHandler) messages(c *gin.Context) {
@@ -305,72 +228,139 @@ func (h *aiGatewayHandler) messages(c *gin.Context) {
 		return
 	}
 	if req.MaxTokens <= 0 {
-		aiError(c, http.StatusBadRequest, "invalid_request_error", "max_tokens 必填且需大于 0")
+		req.MaxTokens = anthDefaultMaxTokens
+	}
+	if len(req.Messages) == 0 {
+		aiError(c, http.StatusBadRequest, "invalid_request_error", "messages 不能为空")
 		return
 	}
-	ir, err := service.AnthropicToIR(req)
+	if !checkKeyModel(c, req.Model) {
+		return
+	}
+	body, err := service.AnthropicToResponsesBody(req)
 	if err != nil {
 		aiError(c, http.StatusBadRequest, "invalid_request_error", err.Error())
 		return
 	}
-	if err := validateIR(ir); err != nil {
-		aiError(c, http.StatusBadRequest, "invalid_request_error", err.Error())
-		return
-	}
 	if req.Stream {
-		h.streamAnthropic(c, ir)
+		h.streamAnthropic(c, body, req)
 		return
 	}
 	start := time.Now()
-	resp, meta, err := h.gw.Chat(c.Request.Context(), ir, keyGroup(c))
-	entry := h.logEntry(c, "anthropic", ir.Model, false, meta, start)
+	payload, meta, err := h.gw.RespPassthrough(c.Request.Context(), body, req.Model, keyGroup(c))
+	entry := h.logEntry(c, "anthropic", req.Model, false, meta, start)
 	if err != nil {
 		upstreamError(c, err)
 		entry.ErrMsg = err.Error()
 		h.logFailure(c, entry, req)
 		return
 	}
+	out, err := service.ResponsesToAnthropic(payload, aiRandID("msg_"))
+	if err != nil {
+		aiError(c, http.StatusBadGateway, "api_error", err.Error())
+		entry.ErrMsg = err.Error()
+		h.logFailure(c, entry, req)
+		return
+	}
 	entry.Status = http.StatusOK
-	fillUsage(&entry, resp.Usage)
+	fillUsage(&entry, service.RespPassthroughUsage(payload))
 	callID := h.gw.LogCall(entry)
-	out := service.IRRespToAnthropic(resp, aiRandID("msg_"))
-	h.maybeLogContent(c, callID, "anthropic", ir.Model, false, req, out)
+	h.maybeLogContent(c, callID, "anthropic", req.Model, false, req, out)
 	c.JSON(http.StatusOK, out)
 }

-// streamAnthropic 经状态机把 IR chunk 流聚合为 Anthropic SSE 事件流。
-func (h *aiGatewayHandler) streamAnthropic(c *gin.Context, ir aiwire.ChatRequest) {
+// streamAnthropic 流式直通并桥接:上游 Responses SSE 事件经 AnthRespBridge
+// 转为 Anthropic 事件序列逐块写出;usage 从 completed 事件记账。
+func (h *aiGatewayHandler) streamAnthropic(c *gin.Context, body []byte, req aiwire.MessagesRequest) {
 	start := time.Now()
-	stream, meta, err := h.gw.OpenStream(c.Request.Context(), ir, keyGroup(c))
-	entry := h.logEntry(c, "anthropic", ir.Model, true, meta, start)
+	upstream, meta, err := h.gw.RespPassthroughStream(c.Request.Context(), body, req.Model, keyGroup(c))
+	entry := h.logEntry(c, "anthropic", req.Model, true, meta, start)
 	if err != nil {
 		upstreamError(c, err)
 		entry.ErrMsg = err.Error()
-		h.logFailure(c, entry, ir)
+		h.logFailure(c, entry, req)
 		return
 	}
-	defer stream.Close()
+	defer upstream.Close()
 	sseHeaders(c)
-	st := service.NewAnthStream(aiRandID("msg_"), ir.Model)
-	for {
-		chunk, err := stream.Next()
-		if err != nil {
-			if !errors.Is(err, io.EOF) {
+	bridge := service.NewAnthRespBridge(aiRandID("msg_"), req.Model)
+	emitted := 0
+	if err := forwardSSEData(upstream, func(data []byte) {
+		evs := bridge.Feed(data)
+		emitted += len(evs)
+		writeAnthEvents(c, evs)
+	}); err != nil {
 		entry.ErrMsg = err.Error()
 	}
-			break
-		}
-		writeAnthEvents(c, st.Feed(chunk))
-	}
-	writeAnthEvents(c, st.Finish())
+	// 上游断流且客户端尚未收到任何事件(OCI 兼容面对大请求 + 推理模型的
+	// 流式通道会在 reasoning 阶段掐断):降级非流式重做,结果按事件序列推送
+	if emitted == 0 && !bridge.SawTerminal() && c.Request.Context().Err() == nil {
+		if h.anthFallback(c, &entry, req) {
 			entry.Status = http.StatusOK
 			entry.LatencyMs = time.Since(start).Milliseconds()
-	usage := st.Usage()
+			callID := h.gw.LogCall(entry)
+			h.maybeLogContent(c, callID, "anthropic", req.Model, true, req, nil)
+			return
+		}
+	}
+	writeAnthEvents(c, bridge.Finish())
+	// 上游错误事件 / 提前终止:SSE 头已发出维持 200,错误落日志可查
+	if msg := bridge.Err(); msg != "" && entry.ErrMsg == "" {
+		entry.ErrMsg = msg
+	}
+	entry.Status = http.StatusOK
+	entry.LatencyMs = time.Since(start).Milliseconds()
+	usage := bridge.Usage()
 	entry.PromptTokens, entry.CompletionTokens = usage.InputTokens, usage.OutputTokens
 	entry.TotalTokens = usage.InputTokens + usage.OutputTokens
 	entry.CachedTokens = usage.CacheReadInputTokens
 	callID := h.gw.LogCall(entry)
-	h.maybeLogContent(c, callID, "anthropic", ir.Model, true, ir, nil)
+	h.maybeLogContent(c, callID, "anthropic", req.Model, true, req, nil)
+}
+
+// anthFallback 用非流式重做同一请求并把完整结果按事件序列推送;
+// 成功返回 true 并把渠道 / 用量 / 降级标注写入日志条目。
+func (h *aiGatewayHandler) anthFallback(c *gin.Context, entry *model.AiCallLog, req aiwire.MessagesRequest) bool {
+	req.Stream = false
+	body, err := service.AnthropicToResponsesBody(req)
+	if err != nil {
+		return false
+	}
+	payload, meta, err := h.gw.RespPassthrough(c.Request.Context(), body, req.Model, keyGroup(c))
+	if err != nil {
+		return false
+	}
+	out, err := service.ResponsesToAnthropic(payload, aiRandID("msg_"))
+	if err != nil {
+		return false
+	}
+	writeAnthEvents(c, service.AnthMessageEvents(out))
+	entry.ChannelID, entry.ChannelName = meta.ChannelID, meta.ChannelName
+	entry.Retries++
+	entry.ErrMsg = "流式上游断流,已降级非流式完成"
+	fillUsage(entry, service.RespPassthroughUsage(payload))
+	return true
+}
+
+// forwardSSEData 逐行读上游 SSE,把 data 行交给 emit 即时转换写出;
+// Anthropic 与 Chat Completions 两条流式桥共用。
+func forwardSSEData(upstream io.Reader, emit func([]byte)) error {
+	reader := bufio.NewReader(upstream)
+	for {
+		line, err := reader.ReadBytes('\n')
+		if len(line) > 0 {
+			trimmed := bytes.TrimSpace(line)
+			if data, ok := bytes.CutPrefix(trimmed, []byte("data: ")); ok {
+				emit(data)
+			}
+		}
+		if err != nil {
+			if errors.Is(err, io.EOF) {
+				return nil
+			}
+			return err
+		}
+	}
 }

 func writeAnthEvents(c *gin.Context, events []service.AnthEvent) {
@@ -386,6 +376,154 @@ func writeAnthEvents(c *gin.Context, events []service.AnthEvent) {
 	c.Writer.Flush()
 }

+// chatCompletions 是 OpenAI /ai/v1/chat/completions 端点(Tier 2 兼容层,
+// 承接只会说 Chat Completions 的存量客户端)。
+//
+// @Summary  OpenAI Chat Completions 兼容端点
+// @Tags     AI 网关
+// @Param    body body object true "OpenAI chat/completions 请求体(支持 stream;经 Responses 转换直通)"
+// @Success  200 {object} map[string]any "OpenAI 兼容响应(流式为 SSE,末尾 data: [DONE])"
+// @Router   /ai/v1/chat/completions [post]
+func (h *aiGatewayHandler) chatCompletions(c *gin.Context) {
+	var req aiwire.ChatRequest
+	if err := c.ShouldBindJSON(&req); err != nil {
+		aiError(c, http.StatusBadRequest, "invalid_request_error", err.Error())
+		return
+	}
+	if strings.TrimSpace(req.Model) == "" || len(req.Messages) == 0 {
+		aiError(c, http.StatusBadRequest, "invalid_request_error", "model 与 messages 不能为空")
+		return
+	}
+	if !checkKeyModel(c, req.Model) {
+		return
+	}
+	body, err := service.ChatToResponsesBody(req)
+	if err != nil {
+		aiError(c, http.StatusBadRequest, "invalid_request_error", err.Error())
+		return
+	}
+	if req.Stream {
+		h.streamChat(c, body, req)
+		return
+	}
+	h.chatOnce(c, body, req)
+}
+
+// chatOnce 处理非流式:直通上游 → 转回 chat.completion → 记账。
+func (h *aiGatewayHandler) chatOnce(c *gin.Context, body []byte, req aiwire.ChatRequest) {
+	start := time.Now()
+	payload, meta, err := h.gw.RespPassthrough(c.Request.Context(), body, req.Model, keyGroup(c))
+	entry := h.logEntry(c, "openai", req.Model, false, meta, start)
+	if err != nil {
+		upstreamError(c, err)
+		entry.ErrMsg = err.Error()
+		h.logFailure(c, entry, req)
+		return
+	}
+	out, err := service.ResponsesToChat(payload, aiRandID("chatcmpl-"), time.Now().Unix())
+	if err != nil {
+		aiError(c, http.StatusBadGateway, "api_error", err.Error())
+		entry.ErrMsg = err.Error()
+		h.logFailure(c, entry, req)
+		return
+	}
+	entry.Status = http.StatusOK
+	fillUsage(&entry, out.Usage)
+	callID := h.gw.LogCall(entry)
+	h.maybeLogContent(c, callID, "openai", req.Model, false, req, out)
+	c.JSON(http.StatusOK, out)
+}
+
+// streamChat 流式直通并桥接:上游 Responses SSE 经 ChatRespBridge 转为
+// chat.completion.chunk 序列逐块写出,末尾发 [DONE];usage 从 completed 事件记账。
+func (h *aiGatewayHandler) streamChat(c *gin.Context, body []byte, req aiwire.ChatRequest) {
+	start := time.Now()
+	upstream, meta, err := h.gw.RespPassthroughStream(c.Request.Context(), body, req.Model, keyGroup(c))
+	entry := h.logEntry(c, "openai", req.Model, true, meta, start)
+	if err != nil {
+		upstreamError(c, err)
+		entry.ErrMsg = err.Error()
+		h.logFailure(c, entry, req)
+		return
+	}
+	defer upstream.Close()
+	sseHeaders(c)
+	includeUsage := req.StreamOptions != nil && req.StreamOptions.IncludeUsage
+	bridge := service.NewChatRespBridge(aiRandID("chatcmpl-"), req.Model, time.Now().Unix(), includeUsage)
+	emitted := 0
+	if err := forwardSSEData(upstream, func(data []byte) {
+		chunks := bridge.Feed(data)
+		emitted += len(chunks)
+		writeChatChunks(c, chunks)
+	}); err != nil {
+		entry.ErrMsg = err.Error()
+	}
+	// 上游断流且客户端尚未收到任何块:降级非流式重做(成因同 messages 端点)
+	if emitted == 0 && bridge.Usage() == nil && c.Request.Context().Err() == nil {
+		if h.chatFallback(c, &entry, req, includeUsage) {
+			entry.Status = http.StatusOK
+			entry.LatencyMs = time.Since(start).Milliseconds()
+			callID := h.gw.LogCall(entry)
+			h.maybeLogContent(c, callID, "openai", req.Model, true, req, nil)
+			return
+		}
+	}
+	writeChatChunks(c, bridge.Finish())
+	c.Writer.WriteString("data: [DONE]\n\n")
+	c.Writer.Flush()
+	// 未见 completed 即结束:usage 缺失说明上游流异常提前终止,落日志可查
+	if bridge.Usage() == nil && entry.ErrMsg == "" {
+		entry.ErrMsg = "上游流提前终止,未返回终态事件"
+	}
+	entry.Status = http.StatusOK
+	entry.LatencyMs = time.Since(start).Milliseconds()
+	fillUsage(&entry, bridge.Usage())
+	callID := h.gw.LogCall(entry)
+	h.maybeLogContent(c, callID, "openai", req.Model, true, req, nil)
+}
+
+// chatFallback 用非流式重做同一请求并把完整结果按 chunk 序列推送;
+// 成功返回 true 并把渠道 / 用量 / 降级标注写入日志条目。
+func (h *aiGatewayHandler) chatFallback(c *gin.Context, entry *model.AiCallLog, req aiwire.ChatRequest, includeUsage bool) bool {
+	req.Stream = false
+	body, err := service.ChatToResponsesBody(req)
+	if err != nil {
+		return false
+	}
+	payload, meta, err := h.gw.RespPassthrough(c.Request.Context(), body, req.Model, keyGroup(c))
+	if err != nil {
+		return false
+	}
+	out, err := service.ResponsesToChat(payload, aiRandID("chatcmpl-"), time.Now().Unix())
+	if err != nil {
+		return false
+	}
+	writeChatChunks(c, service.ChatResponseChunks(out, includeUsage))
+	c.Writer.WriteString("data: [DONE]\n\n")
+	c.Writer.Flush()
+	entry.ChannelID, entry.ChannelName = meta.ChannelID, meta.ChannelName
+	entry.Retries++
+	entry.ErrMsg = "流式上游断流,已降级非流式完成"
+	fillUsage(entry, service.RespPassthroughUsage(payload))
+	return true
+}
+
+// writeChatChunks 逐块写出 chunk 的 SSE data 行并 flush。
+func writeChatChunks(c *gin.Context, chunks []aiwire.ChatChunk) {
+	for _, ch := range chunks {
+		b, err := json.Marshal(ch)
+		if err != nil {
+			continue
+		}
+		c.Writer.WriteString("data: ")
+		c.Writer.Write(b)
+		c.Writer.WriteString("\n\n")
+	}
+	if len(chunks) > 0 {
+		c.Writer.Flush()
+	}
+}
+
 // listModels 是 /ai/v1/models 端点(OpenAI 格式,从启用渠道的模型缓存聚合)。
 //
 // @Summary  可用模型列表
@@ -398,6 +536,15 @@ func (h *aiGatewayHandler) listModels(c *gin.Context) {
 		aiError(c, http.StatusInternalServerError, "api_error", "查询模型列表失败")
 		return
 	}
+	if allowed := keyModels(c); len(allowed) > 0 {
+		kept := make([]aiwire.Model, 0, len(list.Data))
+		for _, m := range list.Data {
+			if slices.Contains(allowed, m.ID) {
+				kept = append(kept, m)
+			}
+		}
+		list.Data = kept
+	}
 	c.JSON(http.StatusOK, list)
 }

@@ -405,31 +552,45 @@ func (h *aiGatewayHandler) listModels(c *gin.Context) {
 //
 // @Summary  OpenAI Responses 兼容端点
 // @Tags     AI 网关
-// @Param    body body object true "OpenAI responses 请求体(支持 stream)"
+// @Param    body body object true "OpenAI responses 请求体(支持 stream;web_search/x_search 服务端工具仅非流式)"
 // @Success  200 {object} map[string]any "OpenAI 兼容响应(流式为 SSE)"
 // @Router   /ai/v1/responses [post]
 func (h *aiGatewayHandler) responses(c *gin.Context) {
-	var req aiwire.RespRequest
-	if err := c.ShouldBindJSON(&req); err != nil {
-		aiError(c, http.StatusBadRequest, "invalid_request_error", err.Error())
-		return
-	}
-	ir, err := service.ResponsesToIR(req)
+	raw, err := c.GetRawData()
 	if err != nil {
 		aiError(c, http.StatusBadRequest, "invalid_request_error", err.Error())
 		return
 	}
-	if err := validateIR(ir); err != nil {
+	var req aiwire.RespRequest
+	if err := json.Unmarshal(raw, &req); err != nil {
+		aiError(c, http.StatusBadRequest, "invalid_request_error", err.Error())
+		return
+	}
+	if !checkKeyModel(c, req.Model) {
+		return
+	}
+	h.responsesPassthrough(c, raw, req)
+}
+
+// responsesPassthrough 直通链路(唯一上游):原始 body 改写后直达
+// OCI /actions/v1/responses,响应原样透传。
+func (h *aiGatewayHandler) responsesPassthrough(c *gin.Context, raw []byte, req aiwire.RespRequest) {
+	if err := service.RespPassthroughValidate(req); err != nil {
+		aiError(c, http.StatusBadRequest, "invalid_request_error", err.Error())
+		return
+	}
+	body, err := service.RespPassthroughBody(raw)
+	if err != nil {
 		aiError(c, http.StatusBadRequest, "invalid_request_error", err.Error())
 		return
 	}
 	if req.Stream {
-		h.streamResponses(c, ir)
+		h.responsesPassthroughStream(c, body, req)
 		return
 	}
 	start := time.Now()
-	resp, meta, err := h.gw.Chat(c.Request.Context(), ir, keyGroup(c))
-	entry := h.logEntry(c, "responses", ir.Model, false, meta, start)
+	payload, meta, err := h.gw.RespPassthrough(c.Request.Context(), body, req.Model, keyGroup(c))
+	entry := h.logEntry(c, "responses", req.Model, false, meta, start)
 	if err != nil {
 		upstreamError(c, err)
 		entry.ErrMsg = err.Error()
@@ -437,54 +598,70 @@ func (h *aiGatewayHandler) responses(c *gin.Context) {
 		return
 	}
 	entry.Status = http.StatusOK
-	fillUsage(&entry, resp.Usage)
+	fillUsage(&entry, service.RespPassthroughUsage(payload))
 	callID := h.gw.LogCall(entry)
-	out := service.IRRespToResponses(resp, aiRandID("resp_"), time.Now().Unix())
-	h.maybeLogContent(c, callID, "responses", ir.Model, false, req, out)
-	c.JSON(http.StatusOK, out)
+	h.maybeLogContent(c, callID, "responses", req.Model, false, req, json.RawMessage(payload))
+	c.Data(http.StatusOK, "application/json; charset=utf-8", payload)
 }

-// streamResponses 经状态机把 IR chunk 流聚合为 Responses 语义事件流。
-func (h *aiGatewayHandler) streamResponses(c *gin.Context, ir aiwire.ChatRequest) {
+// responsesPassthroughStream 流式直通:SSE 事件原样转发(推理增量等直达客户端),
+// 逐行扫描 completed 事件提取 usage 记账。
+func (h *aiGatewayHandler) responsesPassthroughStream(c *gin.Context, body []byte, req aiwire.RespRequest) {
 	start := time.Now()
-	stream, meta, err := h.gw.OpenStream(c.Request.Context(), ir, keyGroup(c))
-	entry := h.logEntry(c, "responses", ir.Model, true, meta, start)
+	upstream, meta, err := h.gw.RespPassthroughStream(c.Request.Context(), body, req.Model, keyGroup(c))
+	entry := h.logEntry(c, "responses", req.Model, true, meta, start)
 	if err != nil {
 		upstreamError(c, err)
 		entry.ErrMsg = err.Error()
-		h.logFailure(c, entry, ir)
+		h.logFailure(c, entry, req)
 		return
 	}
-	defer stream.Close()
+	defer upstream.Close()
 	sseHeaders(c)
-	st := service.NewRespStream(aiRandID("resp_"), ir.Model, time.Now().Unix())
-	for {
-		chunk, err := stream.Next()
+	usage, upErr, err := forwardSSE(c, upstream)
 	if err != nil {
-			if !errors.Is(err, io.EOF) {
 		entry.ErrMsg = err.Error()
+	} else if upErr != "" {
+		// 上游错误事件已原样转发给客户端,这里落日志可查
+		entry.ErrMsg = upErr
+	} else if usage == nil {
+		entry.ErrMsg = "上游流提前终止,未返回终态事件"
 	}
-			break
-		}
-		writeRespEvents(c, st.Feed(chunk))
-	}
-	writeRespEvents(c, st.Finish())
 	entry.Status = http.StatusOK
 	entry.LatencyMs = time.Since(start).Milliseconds()
-	fillUsage(&entry, st.Usage())
+	fillUsage(&entry, usage)
 	callID := h.gw.LogCall(entry)
-	h.maybeLogContent(c, callID, "responses", ir.Model, true, ir, nil)
+	h.maybeLogContent(c, callID, "responses", req.Model, true, req, nil)
 }

-func writeRespEvents(c *gin.Context, events []service.RespEvent) {
-	for _, ev := range events {
-		b, err := json.Marshal(ev.Data)
-		if err != nil {
-			continue
-		}
-		c.Writer.WriteString("event: " + ev.Event + "\ndata: ")
-		c.Writer.Write(b)
-		c.Writer.WriteString("\n\n")
-	}
+// forwardSSE 把上游 SSE 逐行转发给客户端,空行(事件边界)即 flush;
+// 顺带从 data 行提取 response.completed 的 usage 与错误事件消息。
+func forwardSSE(c *gin.Context, upstream io.Reader) (*aiwire.Usage, string, error) {
+	reader := bufio.NewReader(upstream)
+	var usage *aiwire.Usage
+	var upErr string
+	for {
+		line, err := reader.ReadBytes('\n')
+		if len(line) > 0 {
+			c.Writer.Write(line)
+			trimmed := bytes.TrimSpace(line)
+			if len(trimmed) == 0 {
 				c.Writer.Flush()
+			} else if data, ok := bytes.CutPrefix(trimmed, []byte("data: ")); ok {
+				if u := service.RespStreamCompletedUsage(data); u != nil {
+					usage = u
+				}
+				if m := service.RespStreamErrorMsg(data); m != "" && upErr == "" {
+					upErr = m
+				}
+			}
+		}
+		if err != nil {
+			c.Writer.Flush()
+			if errors.Is(err, io.EOF) {
+				return usage, upErr, nil
+			}
+			return usage, upErr, err
+		}
+	}
 }
@@ -0,0 +1,218 @@
+package api
+
+import (
+	"context"
+	"encoding/json"
+	"net/http"
+	"strconv"
+	"strings"
+	"testing"
+	"time"
+
+	"gorm.io/gorm"
+
+	"oci-portal/internal/model"
+)
+
+// seedGatewayModel 直插启用渠道与模型缓存,绕过云同步。
+func seedGatewayModel(t *testing.T, db *gorm.DB, name string) {
+	t.Helper()
+	ch := &model.AiChannel{Name: "t-" + name, OciConfigID: 1, Region: "r-" + name, Enabled: true, Priority: 1, Weight: 1}
+	if err := db.Create(ch).Error; err != nil {
+		t.Fatalf("seed channel: %v", err)
+	}
+	cache := &model.AiModelCache{ChannelID: ch.ID, ModelOcid: "ocid1.." + name, Name: name, Vendor: "v", SyncedAt: time.Now()}
+	if err := db.Create(cache).Error; err != nil {
+		t.Fatalf("seed model cache: %v", err)
+	}
+}
+
+func TestAiGatewayKeyModelRestrict(t *testing.T) {
+	r, auth, _, db := newTestRouterDB(t)
+	token, _, err := auth.Login(context.Background(), "admin", "pass123", "127.0.0.1", "")
+	if err != nil {
+		t.Fatalf("login: %v", err)
+	}
+
+	// 受限密钥:白名单含脏输入,入库应规范化为 2 项(cohere + ghost)
+	w := doRequest(t, r, http.MethodPost, "/api/v1/ai-keys", token,
+		`{"name":"limited","value":"limited-key-1234","models":[" cohere.command-a-03-2025 ","cohere.command-a-03-2025","","ghost-model"]}`)
+	if w.Code != http.StatusCreated {
+		t.Fatalf("创建受限密钥 status = %d, body %s", w.Code, w.Body.String())
+	}
+	var created struct {
+		Item model.AiKey `json:"item"`
+	}
+	if err := json.Unmarshal(w.Body.Bytes(), &created); err != nil {
+		t.Fatalf("decode: %v", err)
+	}
+	if len(created.Item.Models) != 2 || created.Item.Models[0] != "cohere.command-a-03-2025" {
+		t.Fatalf("创建后 models 未规范化: %v", created.Item.Models)
+	}
+	// 不限密钥对照
+	w = doRequest(t, r, http.MethodPost, "/api/v1/ai-keys", token, `{"name":"open","value":"open-key-12345"}`)
+	if w.Code != http.StatusCreated {
+		t.Fatalf("创建不限密钥 status = %d, body %s", w.Code, w.Body.String())
+	}
+
+	seedGatewayModel(t, db, "cohere.command-a-03-2025")
+	seedGatewayModel(t, db, "meta.llama-3.3-70b-instruct")
+
+	deny := []string{"model_not_found", "无权访问"}
+	pass := []string{"未知模型"} // 穿过白名单闸门,由编排层以「未知模型」拒绝(池内无 ghost-model)
+	tests := []struct {
+		name     string
+		key      string
+		path     string
+		body     string
+		wantCode int
+		wantSub  []string
+	}{
+		{"responses 流式同样拦截", "limited-key-1234", "/ai/v1/responses",
+			`{"model":"meta.llama-3.3-70b-instruct","stream":true,"input":"hi"}`, 404, deny},
+		{"responses 白名单内穿透", "limited-key-1234", "/ai/v1/responses",
+			`{"model":"ghost-model","input":"hi"}`, 404, pass},
+		{"embeddings 白名单外拦截", "limited-key-1234", "/ai/v1/embeddings",
+			`{"model":"meta.llama-3.3-70b-instruct","input":["hi"]}`, 404, deny},
+		{"messages 白名单外拦截为 Anthropic 体", "limited-key-1234", "/ai/v1/messages",
+			`{"model":"meta.llama-3.3-70b-instruct","max_tokens":16,"messages":[{"role":"user","content":"hi"}]}`, 404,
+			[]string{`"type":"error"`, "model_not_found", "无权访问"}},
+		{"responses 白名单外拦截", "limited-key-1234", "/ai/v1/responses",
+			`{"model":"meta.llama-3.3-70b-instruct","input":"hi"}`, 404, deny},
+		{"不限密钥穿透闸门", "open-key-12345", "/ai/v1/responses",
+			`{"model":"ghost-model","input":"hi"}`, 404, pass},
+		{"chat completions 白名单外拦截", "limited-key-1234", "/ai/v1/chat/completions",
+			`{"model":"meta.llama-3.3-70b-instruct","messages":[{"role":"user","content":"hi"}]}`, 404, deny},
+		{"chat completions 白名单内穿透", "limited-key-1234", "/ai/v1/chat/completions",
+			`{"model":"ghost-model","messages":[{"role":"user","content":"hi"}]}`, 404, pass},
+		{"messages 缺 max_tokens 按默认值放行", "open-key-12345", "/ai/v1/messages",
+			`{"model":"ghost-model","messages":[{"role":"user","content":"hi"}]}`, 404, pass},
+		{"chat completions 缺 messages 拒绝", "open-key-12345", "/ai/v1/chat/completions",
+			`{"model":"ghost-model"}`, 400, []string{"invalid_request_error"}},
+		{"chat completions 非 function 工具拒绝", "open-key-12345", "/ai/v1/chat/completions",
+			`{"model":"ghost-model","messages":[{"role":"user","content":"hi"}],"tools":[{"type":"web_search","function":{}}]}`,
+			400, []string{"仅支持 function"}},
+		{"chat completions 不支持内容块拒绝", "open-key-12345", "/ai/v1/chat/completions",
+			`{"model":"ghost-model","messages":[{"role":"user","content":[{"type":"input_audio"}]}]}`,
+			400, []string{"invalid_request_error"}},
+	}
+	for _, tt := range tests {
+		t.Run(tt.name, func(t *testing.T) {
+			w := doRequest(t, r, http.MethodPost, tt.path, tt.key, tt.body)
+			if w.Code != tt.wantCode {
+				t.Fatalf("status = %d, want %d, body %s", w.Code, tt.wantCode, w.Body.String())
+			}
+			for _, sub := range tt.wantSub {
+				if !strings.Contains(w.Body.String(), sub) {
+					t.Errorf("body 缺少 %q: %s", sub, w.Body.String())
+				}
+			}
+		})
+	}
+}
+
+func TestAiGatewayModelsFilteredByKey(t *testing.T) {
+	r, auth, _, db := newTestRouterDB(t)
+	token, _, err := auth.Login(context.Background(), "admin", "pass123", "127.0.0.1", "")
+	if err != nil {
+		t.Fatalf("login: %v", err)
+	}
+	seedGatewayModel(t, db, "cohere.command-a-03-2025")
+	seedGatewayModel(t, db, "meta.llama-3.3-70b-instruct")
+	w := doRequest(t, r, http.MethodPost, "/api/v1/ai-keys", token,
+		`{"name":"limited","value":"limited-key-1234","models":["cohere.command-a-03-2025"]}`)
+	if w.Code != http.StatusCreated {
+		t.Fatalf("创建密钥 status = %d", w.Code)
+	}
+	w = doRequest(t, r, http.MethodPost, "/api/v1/ai-keys", token, `{"name":"open","value":"open-key-12345"}`)
+	if w.Code != http.StatusCreated {
+		t.Fatalf("创建密钥 status = %d", w.Code)
+	}
+
+	tests := []struct {
+		name    string
+		key     string
+		want    []string
+		notWant []string
+	}{
+		{"受限密钥仅见交集", "limited-key-1234", []string{"cohere.command-a-03-2025"}, []string{"meta.llama-3.3-70b-instruct"}},
+		{"不限密钥全量可见", "open-key-12345", []string{"cohere.command-a-03-2025", "meta.llama-3.3-70b-instruct"}, nil},
+	}
+	for _, tt := range tests {
+		t.Run(tt.name, func(t *testing.T) {
+			w := doRequest(t, r, http.MethodGet, "/ai/v1/models", tt.key, "")
+			if w.Code != http.StatusOK {
+				t.Fatalf("status = %d, body %s", w.Code, w.Body.String())
+			}
+			for _, sub := range tt.want {
+				if !strings.Contains(w.Body.String(), sub) {
+					t.Errorf("应包含 %q: %s", sub, w.Body.String())
+				}
+			}
+			for _, sub := range tt.notWant {
+				if strings.Contains(w.Body.String(), sub) {
+					t.Errorf("不应包含 %q: %s", sub, w.Body.String())
+				}
+			}
+		})
+	}
+}
+
+func TestAiKeyModelsUpdateRoundTrip(t *testing.T) {
+	r, auth, _, _ := newTestRouterDB(t)
+	token, _, err := auth.Login(context.Background(), "admin", "pass123", "127.0.0.1", "")
+	if err != nil {
+		t.Fatalf("login: %v", err)
+	}
+	w := doRequest(t, r, http.MethodPost, "/api/v1/ai-keys", token, `{"name":"k","value":"round-key-1234"}`)
+	if w.Code != http.StatusCreated {
+		t.Fatalf("创建 status = %d", w.Code)
+	}
+	var created struct {
+		Item model.AiKey `json:"item"`
+	}
+	_ = json.Unmarshal(w.Body.Bytes(), &created)
+	id := created.Item.ID
+
+	listModels := func() []string {
+		w := doRequest(t, r, http.MethodGet, "/api/v1/ai-keys", token, "")
+		var resp struct {
+			Items []model.AiKey `json:"items"`
+		}
+		_ = json.Unmarshal(w.Body.Bytes(), &resp)
+		for _, k := range resp.Items {
+			if k.ID == id {
+				return k.Models
+			}
+		}
+		t.Fatalf("密钥 %d 不在列表中", id)
+		return nil
+	}
+
+	tests := []struct {
+		name string
+		body string
+		want []string
+	}{
+		{"设置白名单", `{"models":[" a-model ","a-model","b-model"]}`, []string{"a-model", "b-model"}},
+		{"不传 models 保持不变", `{"name":"k2"}`, []string{"a-model", "b-model"}},
+		{"空数组清空恢复不限", `{"models":[]}`, nil},
+	}
+	for _, tt := range tests {
+		t.Run(tt.name, func(t *testing.T) {
+			w := doRequest(t, r, http.MethodPut, "/api/v1/ai-keys/"+strconv.Itoa(int(id)), token, tt.body)
+			if w.Code != http.StatusNoContent {
+				t.Fatalf("update status = %d, body %s", w.Code, w.Body.String())
+			}
+			got := listModels()
+			if len(got) != len(tt.want) {
+				t.Fatalf("models = %v, want %v", got, tt.want)
+			}
+			for i := range tt.want {
+				if got[i] != tt.want[i] {
+					t.Fatalf("models = %v, want %v", got, tt.want)
+				}
+			}
+		})
+	}
+}
@@ -7,7 +7,6 @@ import (

 	"github.com/gin-gonic/gin"

-	"oci-portal/internal/model"
 	"oci-portal/internal/service"
 )

@@ -107,127 +106,6 @@ func (h *logEventHandler) list(c *gin.Context) {
 	c.JSON(http.StatusOK, gin.H{"items": items, "total": total})
 }

-// alertRuleRequest 是创建/更新告警规则的请求体。
-type alertRuleRequest struct {
-	Name          string `json:"name"`
-	Enabled       bool   `json:"enabled"`
-	OciConfigID   uint   `json:"ociConfigId"`
-	EventTypes    string `json:"eventTypes"`
-	SourceIPs     string `json:"sourceIps"`
-	SourceIPMode  string `json:"sourceIpMode"`
-	ResourceMatch string `json:"resourceMatch"`
-	Threshold     int    `json:"threshold"`
-	WindowMinutes int    `json:"windowMinutes"`
-}
-
-// toModel 转为规则模型(默认阈值 1)。
-func (r alertRuleRequest) toModel() model.AlertRule {
-	if r.Threshold == 0 {
-		r.Threshold = 1
-	}
-	return model.AlertRule{
-		Name: r.Name, Enabled: r.Enabled, OciConfigID: r.OciConfigID,
-		EventTypes: r.EventTypes, SourceIPs: r.SourceIPs, SourceIPMode: r.SourceIPMode,
-		ResourceMatch: r.ResourceMatch, Threshold: r.Threshold, WindowMinutes: r.WindowMinutes,
-	}
-}
-
-// listAlertRules 返回全部告警规则。
-//
-// @Summary  告警规则列表
-// @Tags     任务与日志回传
-// @Success  200 {object} map[string]any
-// @Security BearerAuth
-// @Router   /api/v1/log-events/alert-rules [get]
-func (h *logEventHandler) listAlertRules(c *gin.Context) {
-	rules, err := h.svc.ListAlertRules(c.Request.Context())
-	if err != nil {
-		respondError(c, err)
-		return
-	}
-	c.JSON(http.StatusOK, gin.H{"items": rules})
-}
-
-// createAlertRule 创建告警规则;字段非法返回 400。
-//
-// @Summary  创建告警规则
-// @Tags     任务与日志回传
-// @Param    body body alertRuleRequest true "请求体"
-// @Success  201 {object} map[string]any
-// @Security BearerAuth
-// @Router   /api/v1/log-events/alert-rules [post]
-func (h *logEventHandler) createAlertRule(c *gin.Context) {
-	var req alertRuleRequest
-	if err := c.ShouldBindJSON(&req); err != nil {
-		c.JSON(http.StatusBadRequest, gin.H{"error": err.Error()})
-		return
-	}
-	rule, err := h.svc.CreateAlertRule(c.Request.Context(), req.toModel())
-	if err != nil {
-		respondAlertRuleError(c, err)
-		return
-	}
-	c.JSON(http.StatusCreated, rule)
-}
-
-// updateAlertRule 整体覆盖告警规则(含启停)。
-//
-// @Summary  更新告警规则
-// @Tags     任务与日志回传
-// @Param    ruleId path int true "规则 ID"
-// @Param    body body alertRuleRequest true "请求体"
-// @Success  200 {object} map[string]any
-// @Security BearerAuth
-// @Router   /api/v1/log-events/alert-rules/{ruleId} [put]
-func (h *logEventHandler) updateAlertRule(c *gin.Context) {
-	id, err := strconv.ParseUint(c.Param("ruleId"), 10, 64)
-	if err != nil {
-		c.JSON(http.StatusBadRequest, gin.H{"error": "规则 ID 非法"})
-		return
-	}
-	var req alertRuleRequest
-	if err := c.ShouldBindJSON(&req); err != nil {
-		c.JSON(http.StatusBadRequest, gin.H{"error": err.Error()})
-		return
-	}
-	rule, err := h.svc.UpdateAlertRule(c.Request.Context(), uint(id), req.toModel())
-	if err != nil {
-		respondAlertRuleError(c, err)
-		return
-	}
-	c.JSON(http.StatusOK, rule)
-}
-
-// deleteAlertRule 删除告警规则及其命中记录。
-//
-// @Summary  删除告警规则
-// @Tags     任务与日志回传
-// @Param    ruleId path int true "规则 ID"
-// @Success  204 "无内容"
-// @Security BearerAuth
-// @Router   /api/v1/log-events/alert-rules/{ruleId} [delete]
-func (h *logEventHandler) deleteAlertRule(c *gin.Context) {
-	id, err := strconv.ParseUint(c.Param("ruleId"), 10, 64)
-	if err != nil {
-		c.JSON(http.StatusBadRequest, gin.H{"error": "规则 ID 非法"})
-		return
-	}
-	if err := h.svc.DeleteAlertRule(c.Request.Context(), uint(id)); err != nil {
-		respondError(c, err)
-		return
-	}
-	c.Status(http.StatusNoContent)
-}
-
-// respondAlertRuleError 把字段校验错误映射为 400。
-func respondAlertRuleError(c *gin.Context, err error) {
-	if errors.Is(err, service.ErrInvalidAlertRule) {
-		c.JSON(http.StatusBadRequest, gin.H{"error": err.Error()})
-		return
-	}
-	respondError(c, err)
-}
-
 // getRelay 查询 OCI 侧链路状态与关键事件清单。
 //
 // @Summary  查询 OCI 侧链路状态与关键事件清单
@@ -144,6 +144,35 @@ func (h *proxyHandler) probe(c *gin.Context) {
 	c.JSON(http.StatusOK, view)
 }

+// setTenants 设置代理关联的租户全集(代理侧批量关联 / 解除)。
+//
+// @Summary  设置代理关联的租户全集
+// @Tags     设置
+// @Param    id path int true "代理 ID"
+// @Param    body body object true "请求体 {\"ociConfigIds\": [1,2]}"
+// @Success  200 {object} map[string]any "usedBy"
+// @Security BearerAuth
+// @Router   /api/v1/proxies/{id}/tenants [put]
+func (h *proxyHandler) setTenants(c *gin.Context) {
+	id, ok := pathID(c)
+	if !ok {
+		return
+	}
+	var req struct {
+		OciConfigIDs []uint `json:"ociConfigIds"`
+	}
+	if err := c.ShouldBindJSON(&req); err != nil {
+		c.JSON(http.StatusBadRequest, gin.H{"error": err.Error()})
+		return
+	}
+	used, err := h.svc.SetTenants(c.Request.Context(), id, req.OciConfigIDs)
+	if err != nil {
+		h.respond(c, err)
+		return
+	}
+	c.JSON(http.StatusOK, gin.H{"usedBy": used})
+}
+
 // respond 把代理业务错误映射到语义状态码。
 func (h *proxyHandler) respond(c *gin.Context, err error) {
 	switch {
@@ -57,6 +57,13 @@ func (nullClient) GetSubscription(context.Context, oci.Credentials, string) (oci
 }

 func newTestRouter(t *testing.T) (*gin.Engine, *service.AuthService, *service.SystemLogService) {
+	t.Helper()
+	r, auth, systemLogs, _ := newTestRouterDB(t)
+	return r, auth, systemLogs
+}
+
+// newTestRouterDB 额外回传 db 句柄,供需要直插数据(如网关模型缓存)的测试使用。
+func newTestRouterDB(t *testing.T) (*gin.Engine, *service.AuthService, *service.SystemLogService, *gorm.DB) {
 	t.Helper()
 	gin.SetMode(gin.TestMode)
 	db, err := gorm.Open(sqlite.Open(":memory:"), &gorm.Config{
@@ -90,7 +97,7 @@ func newTestRouter(t *testing.T) (*gin.Engine, *service.AuthService, *service.Sy
 	logEvents := service.NewLogEventService(db)
 	oauth := service.NewOAuthService(db, settings, auth)
 	r := NewRouter(auth, oauth, ociConfigs, tasks, service.NewConsoleService(ociConfigs), settings, notifier, systemLogs, logEvents, service.NewProxyService(db, cipher), service.NewAiGatewayService(db, ociConfigs, nullClient{}))
-	return r, auth, systemLogs
+	return r, auth, systemLogs, db
 }

 func doRequest(t *testing.T, r *gin.Engine, method, path, token, body string) *httptest.ResponseRecorder {
@@ -33,6 +33,9 @@ func registerAiAdmin(secured *gin.RouterGroup, aiGateway *service.AiGatewayServi
 	secured.POST("/ai-channels/:id/probe", aiadmin.probeChannel)
 	secured.POST("/ai-channels/:id/sync-models", aiadmin.syncChannelModels)
 	secured.GET("/ai-models", aiadmin.gatewayModels)
+	secured.GET("/ai-blacklist", aiadmin.listBlacklist)
+	secured.POST("/ai-blacklist", aiadmin.addBlacklist)
+	secured.DELETE("/ai-blacklist/:id", aiadmin.removeBlacklist)
 	secured.GET("/ai-logs", aiadmin.listLogs)
 	secured.GET("/ai-content-logs", aiadmin.listContentLogs)
 }
@@ -35,4 +35,5 @@ func registerSettings(secured *gin.RouterGroup, settings *service.SettingService
 	secured.PUT("/proxies/:id", px.update)
 	secured.DELETE("/proxies/:id", px.remove)
 	secured.POST("/proxies/:id/probe", px.probe)
+	secured.PUT("/proxies/:id/tenants", px.setTenants)
 }
@@ -19,10 +19,6 @@ func registerTasksAndLogs(secured *gin.RouterGroup, tasks *service.TaskService,

 	le := &logEventHandler{svc: logEvents}
 	secured.GET("/log-events", le.list)
-	secured.GET("/log-events/alert-rules", le.listAlertRules)
-	secured.POST("/log-events/alert-rules", le.createAlertRule)
-	secured.PUT("/log-events/alert-rules/:ruleId", le.updateAlertRule)
-	secured.DELETE("/log-events/alert-rules/:ruleId", le.deleteAlertRule)
 	secured.GET("/oci-configs/:id/log-webhook", le.getWebhook)
 	secured.POST("/oci-configs/:id/log-webhook", le.ensureWebhook)
 	secured.DELETE("/oci-configs/:id/log-webhook", le.revokeWebhook)
@@ -2,6 +2,7 @@ package api

 import (
 	"encoding/json"
+	"errors"
 	"net/http"
 	"strconv"

@@ -155,10 +156,11 @@ func (h *taskHandler) logs(c *gin.Context) {
 	c.JSON(http.StatusOK, logs)
 }

-// @Summary  立即执行任务
+// @Summary  立即执行任务(异步触发,结果经任务日志轮询获取)
 // @Tags     任务与日志回传
 // @Param    id path int true "配置 ID"
-// @Success  200 {object} map[string]any
+// @Success  202 {object} map[string]any
+// @Failure  409 {object} map[string]any "任务正在执行中"
 // @Security BearerAuth
 // @Router   /api/v1/tasks/{id}/run [post]
 func (h *taskHandler) run(c *gin.Context) {
@@ -166,10 +168,13 @@ func (h *taskHandler) run(c *gin.Context) {
 	if !ok {
 		return
 	}
-	entry, err := h.svc.RunTaskNow(c.Request.Context(), id)
-	if err != nil {
+	if err := h.svc.TriggerTask(c.Request.Context(), id); err != nil {
+		if errors.Is(err, service.ErrTaskRunning) {
+			c.JSON(http.StatusConflict, gin.H{"error": err.Error()})
+			return
+		}
 		respondError(c, err)
 		return
 	}
-	c.JSON(http.StatusOK, entry)
+	c.JSON(http.StatusAccepted, gin.H{"triggered": true})
 }
@@ -67,8 +67,8 @@ func autoMigrate(db *gorm.DB) error {
 		&model.User{}, &model.UserIdentity{}, &model.OciConfig{}, &model.Task{}, &model.TaskLog{},
 		&model.CheckSnapshot{}, &model.CostSnapshot{},
 		&model.RegionCache{}, &model.CompartmentCache{}, &model.Setting{},
-		&model.SystemLog{}, &model.LogEvent{}, &model.AlertRule{}, &model.AlertRuleHit{}, &model.Proxy{},
-		&model.AiKey{}, &model.AiChannel{}, &model.AiModelCache{}, &model.AiCallLog{},
+		&model.SystemLog{}, &model.LogEvent{}, &model.Proxy{},
+		&model.AiKey{}, &model.AiChannel{}, &model.AiModelCache{}, &model.AiModelBlacklist{}, &model.AiCallLog{},
 		&model.AiContentLog{},
 	)
 }
@@ -211,31 +211,6 @@ type LogEvent struct {
 	ReceivedAt time.Time `json:"receivedAt"`
 }

-// AlertRule 是回传事件的自定义告警规则;条件间 AND 关系,空条件视为任意。
-type AlertRule struct {
-	ID          uint   `gorm:"primaryKey" json:"id"`
-	Name        string `gorm:"size:64" json:"name"`
-	Enabled     bool   `json:"enabled"`
-	OciConfigID uint   `json:"ociConfigId"`                // 0=全部租户
-	EventTypes  string `gorm:"size:512" json:"eventTypes"` // 逗号分隔事件短名,空=全部
-	SourceIPs   string `gorm:"size:512" json:"sourceIps"`  // 逗号分隔 IP/CIDR,空=任意
-	// in:来源命中列表才告警(默认);notin:不在列表才告警(白名单场景)
-	SourceIPMode  string    `gorm:"size:8" json:"sourceIpMode"`
-	ResourceMatch string    `gorm:"size:128" json:"resourceMatch"` // 资源名子串,空=任意
-	Threshold     int       `json:"threshold"`                     // 触发阈值,默认 1(即时)
-	WindowMinutes int       `json:"windowMinutes"`                 // 聚合窗口,Threshold>1 时必填
-	CreatedAt     time.Time `json:"createdAt"`
-	UpdatedAt     time.Time `json:"updatedAt"`
-}
-
-// AlertRuleHit 记录规则命中,供阈值窗口计数;随周期清理删除过期行。
-type AlertRuleHit struct {
-	ID         uint      `gorm:"primaryKey" json:"id"`
-	RuleID     uint      `gorm:"index" json:"ruleId"`
-	LogEventID uint      `json:"logEventId"`
-	HitAt      time.Time `gorm:"index" json:"hitAt"`
-}
-
 // RegionCache 是开启多区域支持的配置缓存的订阅区域（每配置多行，整组覆盖）。
 // Status 非 READY（新订阅进行中）时读取接口会实时刷新，直到全部 READY。
 type RegionCache struct {
@@ -266,6 +241,8 @@ type AiKey struct {
 	KeyHash string `gorm:"uniqueIndex;size:64" json:"-"`
 	Tail    string `gorm:"size:4" json:"tail"`
 	Group   string `gorm:"column:key_group;size:32" json:"group"`
+	// Models 是模型白名单(精确匹配模型名);空 = 不限,非空时网关仅放行列表内模型
+	Models     []string   `gorm:"serializer:json;type:text" json:"models"`
 	Enabled    bool       `json:"enabled"`
 	LastUsedAt *time.Time `json:"lastUsedAt"`
 	// ContentLogUntil 是内容日志开启截止时间;nil = 永关(默认,红线),
@@ -311,6 +288,14 @@ type AiModelCache struct {
 	RetiredAt    *time.Time `json:"retiredAt"`
 }

+// AiModelBlacklist 是全局模型黑名单(按模型名):加入即从全部渠道缓存删除该模型,
+// 同步与探测过滤不再入库;适用于微调基座等实际不可按需调用的模型,由用户手动维护。
+type AiModelBlacklist struct {
+	ID        uint      `gorm:"primaryKey" json:"id"`
+	Name      string    `gorm:"size:96;uniqueIndex" json:"name"`
+	CreatedAt time.Time `json:"createdAt"`
+}
+
 // AiCallLog 是网关调用日志:仅元数据与 token 用量,绝不记录 prompt / 响应正文。
 type AiCallLog struct {
 	ID          uint   `gorm:"primaryKey" json:"id"`
@@ -6,6 +6,7 @@ import (
 	"context"
 	"errors"
 	"fmt"
+	"io"
 	"strings"
 	"sync"
 	"time"
@@ -99,10 +100,12 @@ type Client interface {
 	AddVnicIpv6(ctx context.Context, cred Credentials, region, vnicID, address string) (string, error)
 	// GenAI 网关:区域模型列表、聊天(非流式/流式)、配额探测、文本向量化。
 	ListGenAiModels(ctx context.Context, cred Credentials, region string) ([]GenAiModel, error)
-	GenAiChat(ctx context.Context, cred Credentials, region, modelOcid string, ir aiwire.ChatRequest) (*aiwire.ChatResponse, error)
-	GenAiChatStream(ctx context.Context, cred Credentials, region, modelOcid string, ir aiwire.ChatRequest) (GenAiStream, error)
 	GenAiProbeChat(ctx context.Context, cred Credentials, region, modelOcid, modelName string) (int, error)
 	GenAiEmbed(ctx context.Context, cred Credentials, region, modelOcid string, inputs []string, dimensions *int) ([][]float32, *aiwire.Usage, error)
+	// GenAiCompatResponses 直通 OpenAI Responses 请求体到 /actions/v1/responses(xAI 服务端工具通路)。
+	GenAiCompatResponses(ctx context.Context, cred Credentials, region string, body []byte) ([]byte, error)
+	// GenAiCompatResponsesStream 流式直通 /actions/v1/responses,建立成功返回 SSE body。
+	GenAiCompatResponsesStream(ctx context.Context, cred Credentials, region string, body []byte) (io.ReadCloser, error)
 	// 控制台连接：创建（VNC/串口连接串）、列出、删除。
 	CreateConsoleConnection(ctx context.Context, cred Credentials, region, instanceID, sshPublicKey string) (ConsoleConnection, error)
 	ListConsoleConnections(ctx context.Context, cred Credentials, region, instanceID string) ([]ConsoleConnection, error)
@@ -76,3 +76,34 @@ func ServiceStatus(err error) (int, bool) {
 	}
 	return 0, false
 }
+
+// IsOnDemandUnsupported 识别「模型在该区域仅为微调基座、不支持按需调用」的 400:
+// OCI 消息形如 "Not allowed to call finetune base model …, use Endpoint: false"。
+// ListModels 无字段可事先区分,只能在调用报错时识别并换渠道。
+func IsOnDemandUnsupported(err error) bool {
+	var svcErr common.ServiceError
+	if !errors.As(err, &svcErr) {
+		return false
+	}
+	return svcErr.GetHTTPStatusCode() == 400 &&
+		strings.Contains(strings.ToLower(svcErr.GetMessage()), "finetune base model")
+}
+
+// IsEntityNotFound 识别「实体不存在」404(消息 "Entity with key … not found"):
+// GenAI 对区域内无按需供给的模型 OCID 返回此类 404,属模型级错误;
+// 鉴权失败的 404 是 NotAuthorizedOrNotFound(消息为 Authorization failed…),不在此列。
+func IsEntityNotFound(err error) bool {
+	var svcErr common.ServiceError
+	if !errors.As(err, &svcErr) {
+		return false
+	}
+	msg := strings.ToLower(svcErr.GetMessage())
+	return svcErr.GetHTTPStatusCode() == 404 &&
+		strings.Contains(msg, "entity with key") && strings.Contains(msg, "not found")
+}
+
+// IsModelUnavailable 归并「模型×区域不可按需调用」两类报错:微调基座 400 与实体不存在 404;
+// 命中即应把该 (渠道, 模型) 从池中剔除并换候选/换渠道,而非定论租户配额问题。
+func IsModelUnavailable(err error) bool {
+	return IsOnDemandUnsupported(err) || IsEntityNotFound(err)
+}
@@ -109,3 +109,52 @@ func TestErrorHint(t *testing.T) {
 		})
 	}
 }
+
+func TestIsOnDemandUnsupported(t *testing.T) {
+	ft := fakeServiceError{status: 400, code: "InvalidParameter",
+		message: "Not allowed to call finetune base model ocid1.generativeaimodel.oc1.eu-frankfurt-1.tpel5q, use Endpoint: false"}
+	tests := []struct {
+		name string
+		err  error
+		want bool
+	}{
+		{"微调基座 400 命中(含包装链)", fmt.Errorf("genai chat: %w", ft), true},
+		{"同消息但非 400 不命中", fakeServiceError{status: 500, code: "InternalError", message: ft.message}, false},
+		{"普通 400 不命中", fakeServiceError{status: 400, code: "InvalidParameter", message: "bad request"}, false},
+		{"非服务端错误不命中", errors.New("finetune base model"), false},
+	}
+	for _, tt := range tests {
+		t.Run(tt.name, func(t *testing.T) {
+			if got := IsOnDemandUnsupported(tt.err); got != tt.want {
+				t.Errorf("IsOnDemandUnsupported() = %v, want %v", got, tt.want)
+			}
+		})
+	}
+}
+
+func TestIsModelUnavailable(t *testing.T) {
+	entity404 := fakeServiceError{status: 404, code: "NotFound",
+		message: "Entity with key ocid1.generativeaimodel.oc1.eu-frankfurt-1.2flsfq not found"}
+	auth404 := fakeServiceError{status: 404, code: "NotAuthorizedOrNotFound",
+		message: "Authorization failed or requested resource not found."}
+	ft400 := fakeServiceError{status: 400, code: "InvalidParameter",
+		message: "Not allowed to call finetune base model ocid1.generativeaimodel.oc1..x, use Endpoint: false"}
+	tests := []struct {
+		name string
+		err  error
+		want bool
+	}{
+		{"实体不存在 404 命中(含包装链)", fmt.Errorf("genai chat: %w", entity404), true},
+		{"鉴权类 404 不命中(仍属租户级)", auth404, false},
+		{"微调基座 400 命中", ft400, true},
+		{"其他 404 消息不命中", fakeServiceError{status: 404, code: "NotFound", message: "route not found"}, false},
+		{"非服务端错误不命中", errors.New("entity with key x not found"), false},
+	}
+	for _, tt := range tests {
+		t.Run(tt.name, func(t *testing.T) {
+			if got := IsModelUnavailable(tt.err); got != tt.want {
+				t.Errorf("IsModelUnavailable() = %v, want %v", got, tt.want)
+			}
+		})
+	}
+}
@@ -2,13 +2,11 @@ package oci

 import (
 	"context"
+	"encoding/json"
 	"fmt"
-	"io"
 	"net/http"
-	"strings"
 	"time"

-	"github.com/oracle/oci-go-sdk/v65/common"
 	"github.com/oracle/oci-go-sdk/v65/generativeai"
 	"github.com/oracle/oci-go-sdk/v65/generativeaiinference"

@@ -20,7 +18,6 @@ type GenAiModel struct {
 	Ocid   string   `json:"ocid"`
 	Name   string   `json:"name"`
 	Vendor string   `json:"vendor"`
-	ChatOnly bool     `json:"-"`
 	Caps   []string `json:"capabilities"`
 	// Capability 是网关侧归一能力:CHAT / EMBEDDING(兼具时算 CHAT)
 	Capability string `json:"capability"`
@@ -31,12 +28,6 @@ type GenAiModel struct {
 	Retired *time.Time `json:"retired"`
 }

-// GenAiStream 逐事件读取流式聊天;Next 在流结束时返回 io.EOF。
-type GenAiStream interface {
-	Next() (aiwire.ChatChunk, error)
-	Close() error
-}
-
 func (c *RealClient) genAiClient(cred Credentials, region string) (generativeai.GenerativeAiClient, error) {
 	gc, err := generativeai.NewGenerativeAiClientWithConfigurationProvider(provider(cred))
 	if err != nil {
@@ -71,18 +62,39 @@ func (c *RealClient) ListGenAiModels(ctx context.Context, cred Credentials, regi
 	if err != nil {
 		return nil, fmt.Errorf("list genai models: %w", err)
 	}
-	seen := map[string]bool{}
-	now := time.Now()
+	return dedupGenAiModels(resp.Items, time.Now()), nil
+}
+
+// dedupGenAiModels 压平并按名称去重;同名多条目时优先保留不含 FINE_TUNE 能力的条目
+// (微调基座条目在部分区域不支持按需调用,缓存其 OCID 会导致调用 400)。
+func dedupGenAiModels(items []generativeai.ModelSummary, now time.Time) []GenAiModel {
+	seen := map[string]int{}
 	var out []GenAiModel
-	for _, m := range resp.Items {
+	for _, m := range items {
 		gm, ok := toGenAiModel(m, now)
-		if !ok || seen[gm.Name] {
+		if !ok {
 			continue
 		}
-		seen[gm.Name] = true
+		if i, dup := seen[gm.Name]; dup {
+			if hasFineTune(out[i].Caps) && !hasFineTune(gm.Caps) {
+				out[i] = gm
+			}
+			continue
+		}
+		seen[gm.Name] = len(out)
 		out = append(out, gm)
 	}
-	return out, nil
+	return out
+}
+
+// hasFineTune 判断能力列表是否含 FINE_TUNE(微调基座条目)。
+func hasFineTune(caps []string) bool {
+	for _, c := range caps {
+		if c == string(generativeai.ModelCapabilityFineTune) {
+			return true
+		}
+	}
+	return false
 }

 // toGenAiModel 压平模型摘要;无归一能力、无名称或按需推理已退役
@@ -132,121 +144,15 @@ func capStrings(caps []generativeai.ModelCapabilityEnum) []string {
 	return out
 }

-// GenAiChat 实现 Client:非流式聊天;modelOcid 走 on-demand serving,
-// cohere.* 模型走 COHERE 请求格式,其余走 GENERIC。
-func (c *RealClient) GenAiChat(ctx context.Context, cred Credentials, region, modelOcid string, ir aiwire.ChatRequest) (*aiwire.ChatResponse, error) {
-	ic, err := c.genAiInferenceClient(cred, region)
-	if err != nil {
-		return nil, err
-	}
-	req, err := buildChatRequest(ir, false)
-	if err != nil {
-		return nil, err
-	}
-	resp, err := ic.Chat(ctx, chatRequest(cred, modelOcid, req))
-	if err != nil {
-		return nil, fmt.Errorf("genai chat: %w", err)
-	}
-	return chatResponseToIR(resp.ChatResult.ChatResponse, ir.Model)
-}
-
-// buildChatRequest 按模型 vendor 组装底层请求体。
-func buildChatRequest(ir aiwire.ChatRequest, stream bool) (generativeaiinference.BaseChatRequest, error) {
-	if isCohereModel(ir.Model) {
-		return irToCohereSDK(ir, stream)
-	}
-	return irToSDK(ir, stream), nil
-}
-
-// chatResponseToIR 按响应实际形态(GENERIC / COHERE)转回 IR。
-func chatResponseToIR(resp generativeaiinference.BaseChatResponse, model string) (*aiwire.ChatResponse, error) {
-	switch r := resp.(type) {
-	case generativeaiinference.GenericChatResponse:
-		return sdkToIR(r, model), nil
-	case generativeaiinference.CohereChatResponse:
-		return cohereSDKToIR(r, model), nil
-	default:
-		return nil, fmt.Errorf("genai chat: unexpected response format %T", resp)
-	}
-}
-
-func chatRequest(cred Credentials, modelOcid string, req generativeaiinference.BaseChatRequest) generativeaiinference.ChatRequest {
-	return generativeaiinference.ChatRequest{
-		ChatDetails: generativeaiinference.ChatDetails{
-			CompartmentId: &cred.TenancyOCID,
-			ServingMode:   generativeaiinference.OnDemandServingMode{ModelId: &modelOcid},
-			ChatRequest:   req,
-		},
-	}
-}
-
-// GenAiChatStream 实现 Client:流式聊天,返回逐事件读取器。
-// SDK 对 text/event-stream 跳过 unmarshal,原始流经 RawResponse 交由 SSEReader 消费。
-func (c *RealClient) GenAiChatStream(ctx context.Context, cred Credentials, region, modelOcid string, ir aiwire.ChatRequest) (GenAiStream, error) {
-	ic, err := c.genAiInferenceClient(cred, region)
-	if err != nil {
-		return nil, err
-	}
-	req, err := buildChatRequest(ir, true)
-	if err != nil {
-		return nil, err
-	}
-	resp, err := ic.Chat(ctx, chatRequest(cred, modelOcid, req))
-	if err != nil {
-		return nil, fmt.Errorf("genai chat stream: %w", err)
-	}
-	reader, err := common.NewSSEReader(resp.RawResponse)
-	if err != nil {
-		return nil, fmt.Errorf("genai chat stream: sse reader: %w", err)
-	}
-	return &genAiSSEStream{reader: reader, body: resp.RawResponse.Body, model: ir.Model}, nil
-}
-
-// genAiSSEStream 把 OCI SSE 事件流适配为 IR chunk 流。
-type genAiSSEStream struct {
-	reader *common.SseReader
-	body   io.ReadCloser
-	model  string
-}
-
-// Next 读取下一条有效事件;空事件与 [DONE] 哨兵跳过,流尽返回 io.EOF。
-func (s *genAiSSEStream) Next() (aiwire.ChatChunk, error) {
-	for {
-		data, err := s.reader.ReadNextEvent()
-		if err != nil {
-			return aiwire.ChatChunk{}, err
-		}
-		text := strings.TrimSpace(string(data))
-		if text == "" {
-			continue
-		}
-		if text == "[DONE]" {
-			return aiwire.ChatChunk{}, io.EOF
-		}
-		if chunk, ok := parseGenAiEvent([]byte(text), s.model); ok {
-			return chunk, nil
-		}
-	}
-}
-
-func (s *genAiSSEStream) Close() error {
-	if s.body != nil {
-		return s.body.Close()
-	}
-	return nil
-}
-
-// GenAiProbeChat 实现 Client:配额探测专用的最小聊天(maxTokens=1),返回 HTTP 状态码;
+// GenAiProbeChat 实现 Client:经 OpenAI 兼容面(直通同链路)发一次极小请求探测渠道;配额探测专用的最小聊天(maxTokens=1),返回 HTTP 状态码;
 // modelName 决定请求格式(cohere.* 走 COHERE)。
 func (c *RealClient) GenAiProbeChat(ctx context.Context, cred Credentials, region, modelOcid, modelName string) (int, error) {
-	one := 1
-	ir := aiwire.ChatRequest{
-		Model:     modelName,
-		Messages:  []aiwire.ChatMessage{{Role: "user", Content: aiwire.NewTextContent("hi")}},
-		MaxTokens: &one,
+	body, err := json.Marshal(map[string]any{"model": modelName, "input": "hi",
+		"max_output_tokens": 1, "store": false})
+	if err != nil {
+		return 0, err
 	}
-	_, err := c.GenAiChat(ctx, cred, region, modelOcid, ir)
-	if err == nil {
+	if _, err = c.GenAiCompatResponses(ctx, cred, region, body); err == nil {
 		return http.StatusOK, nil
 	}
 	if status, ok := ServiceStatus(err); ok {
@@ -255,6 +161,27 @@ func (c *RealClient) GenAiProbeChat(ctx context.Context, cred Credentials, regio
 	return 0, err
 }

+// sdkUsageToIR 把 SDK 用量转为内部记账结构(缓存命中挂 details,仅命中时出现)。
+func sdkUsageToIR(u *generativeaiinference.Usage) *aiwire.Usage {
+	if u == nil {
+		return nil
+	}
+	out := &aiwire.Usage{}
+	if u.PromptTokens != nil {
+		out.PromptTokens = *u.PromptTokens
+	}
+	if u.CompletionTokens != nil {
+		out.CompletionTokens = *u.CompletionTokens
+	}
+	if u.TotalTokens != nil {
+		out.TotalTokens = *u.TotalTokens
+	}
+	if u.PromptTokensDetails != nil && u.PromptTokensDetails.CachedTokens != nil && *u.PromptTokensDetails.CachedTokens > 0 {
+		out.PromptTokensDetails = &aiwire.PromptTokensDetails{CachedTokens: *u.PromptTokensDetails.CachedTokens}
+	}
+	return out
+}
+
 // GenAiEmbed 实现 Client:文本向量化(on-demand serving);dimensions 透传 OutputDimensions。
 func (c *RealClient) GenAiEmbed(ctx context.Context, cred Credentials, region, modelOcid string, inputs []string, dimensions *int) ([][]float32, *aiwire.Usage, error) {
 	ic, err := c.genAiInferenceClient(cred, region)
@@ -1,266 +0,0 @@
-package oci
-
-import (
-	"encoding/json"
-	"fmt"
-	"strings"
-
-	"github.com/oracle/oci-go-sdk/v65/generativeaiinference"
-
-	"oci-portal/internal/aiwire"
-)
-
-// isCohereModel 依据模型名前缀判定 COHERE 系(走专属请求格式)。
-func isCohereModel(name string) bool {
-	return strings.HasPrefix(strings.ToLower(name), "cohere.")
-}
-
-// irToCohereSDK 把 IR 转为 COHERE 聊天请求;工具与结构化输出做有损降级
-// (参数仅取 JSON Schema 顶层 properties,tool_choice / json_schema 的 name、strict 无对应)。
-func irToCohereSDK(ir aiwire.ChatRequest, stream bool) (generativeaiinference.CohereChatRequest, error) {
-	var req generativeaiinference.CohereChatRequest
-	if err := cohereRejectUnsupported(ir); err != nil {
-		return req, err
-	}
-	p, err := cohereSplitMessages(ir.Messages)
-	if err != nil {
-		return req, err
-	}
-	req = generativeaiinference.CohereChatRequest{
-		Message:          &p.message,
-		ChatHistory:      p.history,
-		ToolResults:      p.toolResults,
-		Tools:            cohereTools(ir.Tools),
-		ResponseFormat:   cohereResponseFormat(ir.ResponseFormat),
-		MaxTokens:        ir.MaxTokens,
-		Temperature:      ir.Temperature,
-		TopP:             ir.TopP,
-		TopK:             ir.TopK,
-		FrequencyPenalty: ir.FrequencyPenalty,
-		PresencePenalty:  ir.PresencePenalty,
-		Seed:             ir.Seed,
-	}
-	if p.preamble != "" {
-		req.PreambleOverride = &p.preamble
-	}
-	if len(ir.Stop) > 0 {
-		req.StopSequences = ir.Stop
-	}
-	if stream {
-		req.IsStream = &stream
-		includeUsage := ir.StreamOptions == nil || ir.StreamOptions.IncludeUsage
-		req.StreamOptions = &generativeaiinference.StreamOptions{IsIncludeUsage: &includeUsage}
-	}
-	return req, nil
-}
-
-// cohereRejectUnsupported 拒绝 COHERE 无法承接的能力(多模态图片)。
-func cohereRejectUnsupported(ir aiwire.ChatRequest) error {
-	for _, m := range ir.Messages {
-		for _, p := range m.Content.Parts {
-			if p.Type == "image_url" {
-				return fmt.Errorf("cohere 系模型暂不支持图片输入,请改用 meta/google 等多模态模型")
-			}
-		}
-	}
-	return nil
-}
-
-// cohereParts 是 IR 消息拆装为 COHERE 请求的中间结果。
-type cohereParts struct {
-	message     string
-	history     []generativeaiinference.CohereMessage
-	preamble    string
-	toolResults []generativeaiinference.CohereToolResult
-}
-
-// cohereSplitMessages 拆装消息:system 拼 preamble,末尾 user 抽为 message,
-// assistant(含 toolCalls)与其余 user 进 history,tool 结果转顶层 toolResults
-// (工具结果在末尾时 message 留空,COHERE 以 toolResults 续跑)。
-func cohereSplitMessages(msgs []aiwire.ChatMessage) (cohereParts, error) {
-	lastUser, lastTool := -1, -1
-	for i, m := range msgs {
-		switch m.Role {
-		case "user":
-			lastUser = i
-		case "tool":
-			lastTool = i
-		}
-	}
-	if lastUser == -1 && lastTool == -1 {
-		return cohereParts{}, fmt.Errorf("cohere 系模型至少需要一条 user 消息")
-	}
-	var p cohereParts
-	var preamble []string
-	calls := map[string]generativeaiinference.CohereToolCall{}
-	for i, m := range msgs {
-		text := m.Content.JoinText()
-		switch m.Role {
-		case "system", "developer":
-			preamble = append(preamble, text)
-		case "assistant":
-			p.history = append(p.history, cohereBotMessage(text, m.ToolCalls, calls))
-		case "tool":
-			p.toolResults = append(p.toolResults, cohereToolResult(m, calls))
-		default: // user
-			if i == lastUser && lastUser > lastTool {
-				p.message = text
-				continue
-			}
-			p.history = append(p.history, generativeaiinference.CohereUserMessage{Message: &text})
-		}
-	}
-	p.preamble = strings.Join(preamble, "\n")
-	return p, nil
-}
-
-// cohereBotMessage 转 assistant 消息;toolCalls 同步登记进 id→call 映射供 tool 结果回查。
-func cohereBotMessage(text string, tcs []aiwire.ToolCall, calls map[string]generativeaiinference.CohereToolCall) generativeaiinference.CohereChatBotMessage {
-	msg := generativeaiinference.CohereChatBotMessage{}
-	if text != "" {
-		msg.Message = &text
-	}
-	for _, tc := range tcs {
-		name := tc.Function.Name
-		var params interface{}
-		if json.Unmarshal([]byte(tc.Function.Arguments), &params) != nil || params == nil {
-			params = map[string]any{}
-		}
-		call := generativeaiinference.CohereToolCall{Name: &name, Parameters: &params}
-		calls[tc.ID] = call
-		msg.ToolCalls = append(msg.ToolCalls, call)
-	}
-	return msg
-}
-
-// cohereToolResult 把 IR tool 消息转顶层工具结果;COHERE 工具调用无 id,
-// 靠 assistant 历史登记的映射回查,缺失时以 tool_call_id 名义调用兜底。
-func cohereToolResult(m aiwire.ChatMessage, calls map[string]generativeaiinference.CohereToolCall) generativeaiinference.CohereToolResult {
-	call, ok := calls[m.ToolCallID]
-	if !ok {
-		name := m.ToolCallID
-		var params interface{} = map[string]any{}
-		call = generativeaiinference.CohereToolCall{Name: &name, Parameters: &params}
-	}
-	text := m.Content.JoinText()
-	var output interface{}
-	if json.Unmarshal([]byte(text), &output) != nil || output == nil {
-		output = map[string]any{"output": text}
-	}
-	if arr, isArr := output.([]interface{}); isArr {
-		return generativeaiinference.CohereToolResult{Call: &call, Outputs: arr}
-	}
-	if _, isMap := output.(map[string]interface{}); !isMap {
-		output = map[string]any{"output": output}
-	}
-	return generativeaiinference.CohereToolResult{Call: &call, Outputs: []interface{}{output}}
-}
-
-// cohereTools 把 JSON Schema 工具定义降级为 COHERE 扁平参数表(嵌套结构有损:仅取顶层)。
-func cohereTools(tools []aiwire.Tool) []generativeaiinference.CohereTool {
-	if len(tools) == 0 {
-		return nil
-	}
-	out := make([]generativeaiinference.CohereTool, 0, len(tools))
-	for _, t := range tools {
-		name, desc := t.Function.Name, t.Function.Description
-		if desc == "" {
-			desc = name // Description 为 COHERE 必填
-		}
-		out = append(out, generativeaiinference.CohereTool{
-			Name: &name, Description: &desc,
-			ParameterDefinitions: cohereParams(t.Function.Parameters),
-		})
-	}
-	return out
-}
-
-// cohereParams 取 JSON Schema 顶层 properties 转扁平参数定义;嵌套 schema 只保留类型名。
-func cohereParams(schema json.RawMessage) map[string]generativeaiinference.CohereParameterDefinition {
-	var s struct {
-		Properties map[string]struct {
-			Type        string `json:"type"`
-			Description string `json:"description"`
-		} `json:"properties"`
-		Required []string `json:"required"`
-	}
-	if json.Unmarshal(schema, &s) != nil || len(s.Properties) == 0 {
-		return nil
-	}
-	req := map[string]bool{}
-	for _, r := range s.Required {
-		req[r] = true
-	}
-	out := make(map[string]generativeaiinference.CohereParameterDefinition, len(s.Properties))
-	for k, v := range s.Properties {
-		typ, desc := v.Type, v.Description
-		if typ == "" {
-			typ = "string"
-		}
-		pd := generativeaiinference.CohereParameterDefinition{Type: &typ}
-		if desc != "" {
-			pd.Description = &desc
-		}
-		if req[k] {
-			t := true
-			pd.IsRequired = &t
-		}
-		out[k] = pd
-	}
-	return out
-}
-
-// cohereResponseFormat 映射 json_object / json_schema(name、strict 无对应,有损降级)。
-func cohereResponseFormat(rf *aiwire.ResponseFormat) generativeaiinference.CohereResponseFormat {
-	if rf == nil {
-		return nil
-	}
-	switch rf.Type {
-	case "json_object", "json_schema":
-		out := generativeaiinference.CohereResponseJsonFormat{}
-		var in struct {
-			Schema json.RawMessage `json:"schema"`
-		}
-		if json.Unmarshal(rf.JSONSchema, &in) == nil && len(in.Schema) > 0 {
-			var schema interface{}
-			if json.Unmarshal(in.Schema, &schema) == nil {
-				out.Schema = &schema
-			}
-		}
-		return out
-	}
-	return nil
-}
-
-// cohereSDKToIR 把 COHERE 非流式响应转回 IR;工具调用补派生 ID,存在时结束原因归 tool_calls。
-func cohereSDKToIR(resp generativeaiinference.CohereChatResponse, model string) *aiwire.ChatResponse {
-	msg := aiwire.ChatMessage{Role: "assistant", Content: aiwire.NewTextContent(deref(resp.Text))}
-	for i, tc := range resp.ToolCalls {
-		msg.ToolCalls = append(msg.ToolCalls, cohereCallToIR(deref(tc.Name), tc.Parameters, i))
-	}
-	finish := mapFinishReason(string(resp.FinishReason))
-	if len(msg.ToolCalls) > 0 {
-		finish = "tool_calls"
-	}
-	return &aiwire.ChatResponse{
-		Object:  "chat.completion",
-		Model:   model,
-		Choices: []aiwire.Choice{{Message: msg, FinishReason: finish}},
-		Usage:   sdkUsageToIR(resp.Usage),
-	}
-}
-
-// cohereCallToIR 生成 IR 工具调用;COHERE 无调用 id,按名称+序号派生(回传时按此回查)。
-func cohereCallToIR(name string, params *interface{}, idx int) aiwire.ToolCall {
-	args := "{}"
-	if params != nil && *params != nil {
-		if b, err := json.Marshal(*params); err == nil {
-			args = string(b)
-		}
-	}
-	return aiwire.ToolCall{
-		ID:       fmt.Sprintf("call_%s_%d", name, idx),
-		Type:     "function",
-		Function: aiwire.FunctionCall{Name: name, Arguments: args},
-	}
-}
@@ -1,367 +0,0 @@
-package oci
-
-import (
-	"encoding/json"
-	"strings"
-
-	"github.com/oracle/oci-go-sdk/v65/generativeaiinference"
-
-	"oci-portal/internal/aiwire"
-)
-
-// irToSDK 把 IR(OpenAI 线格式)转为 OCI GENERIC 聊天请求;字段近一一镜像。
-func irToSDK(ir aiwire.ChatRequest, stream bool) generativeaiinference.GenericChatRequest {
-	req := generativeaiinference.GenericChatRequest{
-		Messages:            irMessages(ir.Messages),
-		MaxTokens:           ir.MaxTokens,
-		MaxCompletionTokens: ir.MaxCompletionTokens,
-		Temperature:         ir.Temperature,
-		TopP:                ir.TopP,
-		TopK:                ir.TopK,
-		FrequencyPenalty:    ir.FrequencyPenalty,
-		PresencePenalty:     ir.PresencePenalty,
-		Seed:                ir.Seed,
-		NumGenerations:      ir.N,
-		Tools:               irTools(ir.Tools),
-		ToolChoice:          irToolChoice(ir.ToolChoice),
-		ResponseFormat:      irResponseFormat(ir.ResponseFormat),
-	}
-	if len(ir.Stop) > 0 {
-		req.Stop = ir.Stop
-	}
-	if ir.ReasoningEffort != "" {
-		req.ReasoningEffort = generativeaiinference.GenericChatRequestReasoningEffortEnum(strings.ToUpper(ir.ReasoningEffort))
-	}
-	if stream {
-		req.IsStream = &stream
-		includeUsage := ir.StreamOptions == nil || ir.StreamOptions.IncludeUsage
-		req.StreamOptions = &generativeaiinference.StreamOptions{IsIncludeUsage: &includeUsage}
-	}
-	return req
-}
-
-// irMessages 按 role 拆装消息;user 消息保留图文块,其余角色只取文本。
-func irMessages(msgs []aiwire.ChatMessage) []generativeaiinference.Message {
-	out := make([]generativeaiinference.Message, 0, len(msgs))
-	for _, m := range msgs {
-		switch m.Role {
-		case "system", "developer":
-			out = append(out, generativeaiinference.SystemMessage{Content: textContents(m.Content.JoinText())})
-		case "assistant":
-			out = append(out, generativeaiinference.AssistantMessage{
-				Content:   textContents(m.Content.JoinText()),
-				ToolCalls: irToolCalls(m.ToolCalls),
-			})
-		case "tool":
-			tm := generativeaiinference.ToolMessage{Content: textContents(m.Content.JoinText())}
-			if m.ToolCallID != "" {
-				id := m.ToolCallID
-				tm.ToolCallId = &id
-			}
-			out = append(out, tm)
-		default: // user
-			out = append(out, generativeaiinference.UserMessage{Content: chatContents(m.Content)})
-		}
-	}
-	return out
-}
-
-// chatContents 把 IR 内容转 SDK 内容块;文本直通,image_url 转 IMAGE 块(data URI / 公网地址)。
-func chatContents(c aiwire.Content) []generativeaiinference.ChatContent {
-	if len(c.Parts) == 0 {
-		return textContents(c.Text)
-	}
-	var out []generativeaiinference.ChatContent
-	for _, p := range c.Parts {
-		switch {
-		case p.Type == "image_url" && p.ImageURL != nil:
-			img := generativeaiinference.ImageUrl{Url: &p.ImageURL.URL}
-			if d, ok := generativeaiinference.GetMappingImageUrlDetailEnum(p.ImageURL.Detail); ok {
-				img.Detail = d
-			}
-			out = append(out, generativeaiinference.ImageContent{ImageUrl: &img})
-		case p.Text != "":
-			t := p.Text
-			out = append(out, generativeaiinference.TextContent{Text: &t})
-		}
-	}
-	return out
-}
-
-// textContents 把纯文本包装为单元素 TextContent 数组;空文本返回 nil。
-func textContents(text string) []generativeaiinference.ChatContent {
-	if text == "" {
-		return nil
-	}
-	return []generativeaiinference.ChatContent{generativeaiinference.TextContent{Text: &text}}
-}
-
-func irToolCalls(calls []aiwire.ToolCall) []generativeaiinference.ToolCall {
-	if len(calls) == 0 {
-		return nil
-	}
-	out := make([]generativeaiinference.ToolCall, 0, len(calls))
-	for _, c := range calls {
-		id, name, args := c.ID, c.Function.Name, c.Function.Arguments
-		out = append(out, generativeaiinference.FunctionCall{Id: &id, Name: &name, Arguments: &args})
-	}
-	return out
-}
-
-func irTools(tools []aiwire.Tool) []generativeaiinference.ToolDefinition {
-	if len(tools) == 0 {
-		return nil
-	}
-	out := make([]generativeaiinference.ToolDefinition, 0, len(tools))
-	for _, t := range tools {
-		name, desc := t.Function.Name, t.Function.Description
-		fd := generativeaiinference.FunctionDefinition{Name: &name}
-		if desc != "" {
-			fd.Description = &desc
-		}
-		if len(t.Function.Parameters) > 0 {
-			var params interface{}
-			if json.Unmarshal(t.Function.Parameters, &params) == nil {
-				fd.Parameters = &params
-			}
-		}
-		out = append(out, fd)
-	}
-	return out
-}
-
-// irToolChoice 解析 "auto"/"none"/"required" 或 {type:function,function:{name}}。
-func irToolChoice(raw json.RawMessage) generativeaiinference.ToolChoice {
-	if len(raw) == 0 {
-		return nil
-	}
-	var s string
-	if json.Unmarshal(raw, &s) == nil {
-		switch s {
-		case "none":
-			return generativeaiinference.ToolChoiceNone{}
-		case "required":
-			return generativeaiinference.ToolChoiceRequired{}
-		case "auto":
-			return generativeaiinference.ToolChoiceAuto{}
-		}
-		return nil
-	}
-	var obj struct {
-		Function struct {
-			Name string `json:"name"`
-		} `json:"function"`
-	}
-	if json.Unmarshal(raw, &obj) == nil && obj.Function.Name != "" {
-		return generativeaiinference.ToolChoiceFunction{Name: &obj.Function.Name}
-	}
-	return nil
-}
-
-func irResponseFormat(rf *aiwire.ResponseFormat) generativeaiinference.ResponseFormat {
-	if rf == nil {
-		return nil
-	}
-	switch rf.Type {
-	case "json_object":
-		return generativeaiinference.JsonObjectResponseFormat{}
-	case "json_schema":
-		return irJSONSchemaFormat(rf.JSONSchema)
-	default:
-		return nil
-	}
-}
-
-// irJSONSchemaFormat 映射 OpenAI json_schema{name,description,schema,strict}。
-func irJSONSchemaFormat(raw json.RawMessage) generativeaiinference.ResponseFormat {
-	var in struct {
-		Name        string          `json:"name"`
-		Description string          `json:"description"`
-		Schema      json.RawMessage `json:"schema"`
-		Strict      *bool           `json:"strict"`
-	}
-	if json.Unmarshal(raw, &in) != nil || in.Name == "" {
-		return generativeaiinference.JsonObjectResponseFormat{}
-	}
-	js := generativeaiinference.ResponseJsonSchema{Name: &in.Name, IsStrict: in.Strict}
-	if in.Description != "" {
-		js.Description = &in.Description
-	}
-	if len(in.Schema) > 0 {
-		var schema interface{}
-		if json.Unmarshal(in.Schema, &schema) == nil {
-			js.Schema = &schema
-		}
-	}
-	return generativeaiinference.JsonSchemaResponseFormat{JsonSchema: &js}
-}
-
-// sdkToIR 把非流式 GenericChatResponse 转回 IR 响应;id/created 由调用方补。
-func sdkToIR(resp generativeaiinference.GenericChatResponse, model string) *aiwire.ChatResponse {
-	out := &aiwire.ChatResponse{Object: "chat.completion", Model: model}
-	if resp.TimeCreated != nil {
-		out.Created = resp.TimeCreated.Unix()
-	}
-	for i, ch := range resp.Choices {
-		idx := i
-		if ch.Index != nil {
-			idx = *ch.Index
-		}
-		out.Choices = append(out.Choices, aiwire.Choice{
-			Index:        idx,
-			Message:      sdkMessageToIR(ch.Message),
-			FinishReason: mapFinishReason(deref(ch.FinishReason)),
-		})
-	}
-	out.Usage = sdkUsageToIR(resp.Usage)
-	return out
-}
-
-func sdkUsageToIR(u *generativeaiinference.Usage) *aiwire.Usage {
-	if u == nil {
-		return nil
-	}
-	out := &aiwire.Usage{}
-	if u.PromptTokens != nil {
-		out.PromptTokens = *u.PromptTokens
-	}
-	if u.CompletionTokens != nil {
-		out.CompletionTokens = *u.CompletionTokens
-	}
-	if u.TotalTokens != nil {
-		out.TotalTokens = *u.TotalTokens
-	}
-	if d := u.PromptTokensDetails; d != nil && d.CachedTokens != nil && *d.CachedTokens > 0 {
-		out.PromptTokensDetails = &aiwire.PromptTokensDetails{CachedTokens: *d.CachedTokens}
-	}
-	return out
-}
-
-// sdkMessageToIR 提取助手消息文本与工具调用。
-func sdkMessageToIR(m generativeaiinference.Message) aiwire.ChatMessage {
-	out := aiwire.ChatMessage{Role: "assistant"}
-	am, ok := m.(generativeaiinference.AssistantMessage)
-	if !ok {
-		return out
-	}
-	var sb strings.Builder
-	for _, c := range am.Content {
-		if tc, ok := c.(generativeaiinference.TextContent); ok && tc.Text != nil {
-			sb.WriteString(*tc.Text)
-		}
-	}
-	out.Content = aiwire.NewTextContent(sb.String())
-	for _, call := range am.ToolCalls {
-		if fc, ok := call.(generativeaiinference.FunctionCall); ok {
-			out.ToolCalls = append(out.ToolCalls, aiwire.ToolCall{
-				ID:   deref(fc.Id),
-				Type: "function",
-				Function: aiwire.FunctionCall{
-					Name:      deref(fc.Name),
-					Arguments: deref(fc.Arguments),
-				},
-			})
-		}
-	}
-	return out
-}
-
-// mapFinishReason 归一化结束原因;OCI 与 OpenAI 取值同名,做小写与别名兜底。
-func mapFinishReason(reason string) string {
-	switch strings.ToLower(reason) {
-	case "", "null":
-		return ""
-	case "stop", "completed", "end_turn":
-		return "stop"
-	case "length", "max_tokens":
-		return "length"
-	case "tool_calls", "tool_call", "tool_use":
-		return "tool_calls"
-	case "complete":
-		return "stop"
-	case "error_toxic":
-		return "content_filter"
-	default:
-		return strings.ToLower(reason)
-	}
-}
-
-// genAiStreamEvent 是 GENERIC 流式事件的宽容解析结构(字段按增量 choice 形状)。
-type genAiStreamEvent struct {
-	Index   *int `json:"index"`
-	Message struct {
-		Role    string `json:"role"`
-		Content []struct {
-			Type string `json:"type"`
-			Text string `json:"text"`
-		} `json:"content"`
-		ToolCalls []struct {
-			ID        string `json:"id"`
-			Name      string `json:"name"`
-			Arguments string `json:"arguments"`
-		} `json:"toolCalls"`
-	} `json:"message"`
-	FinishReason *string                      `json:"finishReason"`
-	Usage        *generativeaiinference.Usage `json:"usage"`
-	Choices      []json.RawMessage            `json:"choices"` // 兼容整包 choices 形态
-	Text         string                       `json:"text"`    // COHERE 流事件的顶层增量文本
-	// CohereCalls 是 COHERE 流事件顶层的工具调用(与 GENERIC 的 message.toolCalls 不同层级)
-	CohereCalls []struct {
-		Name       string      `json:"name"`
-		Parameters interface{} `json:"parameters"`
-	} `json:"toolCalls"`
-}
-
-// parseGenAiEvent 把一条 SSE 事件 JSON 解析为 IR chunk;无有效负载时 ok=false。
-func parseGenAiEvent(data []byte, model string) (aiwire.ChatChunk, bool) {
-	var ev genAiStreamEvent
-	if err := json.Unmarshal(data, &ev); err != nil {
-		return aiwire.ChatChunk{}, false
-	}
-	if len(ev.Choices) > 0 { // choices 包裹形态:取首个展开重解析
-		var inner genAiStreamEvent
-		if json.Unmarshal(ev.Choices[0], &inner) == nil {
-			inner.Usage = ev.Usage
-			ev = inner
-		}
-	}
-	chunk := aiwire.ChatChunk{Object: "chat.completion.chunk", Model: model}
-	choice := aiwire.ChunkChoice{}
-	if ev.Index != nil {
-		choice.Index = *ev.Index
-	}
-	choice.Delta.Role = strings.ToLower(ev.Message.Role)
-	var sb strings.Builder
-	for _, c := range ev.Message.Content {
-		sb.WriteString(c.Text)
-	}
-	if sb.Len() == 0 && ev.Text != "" { // COHERE 事件形态
-		sb.WriteString(ev.Text)
-	}
-	choice.Delta.Content = sb.String()
-	for i, tc := range ev.Message.ToolCalls {
-		d := aiwire.ToolCallDelta{Index: i, ID: tc.ID}
-		if tc.ID != "" {
-			d.Type = "function"
-		}
-		d.Function.Name = tc.Name
-		d.Function.Arguments = tc.Arguments
-		choice.Delta.ToolCalls = append(choice.Delta.ToolCalls, d)
-	}
-	for i, tc := range ev.CohereCalls { // COHERE 顶层工具调用:整包出现,补派生 ID
-		call := cohereCallToIR(tc.Name, &tc.Parameters, i)
-		d := aiwire.ToolCallDelta{Index: len(choice.Delta.ToolCalls) + i, ID: call.ID, Type: "function"}
-		d.Function.Name = call.Function.Name
-		d.Function.Arguments = call.Function.Arguments
-		choice.Delta.ToolCalls = append(choice.Delta.ToolCalls, d)
-	}
-	if r := mapFinishReason(deref(ev.FinishReason)); r != "" {
-		choice.FinishReason = &r
-	}
-	hasPayload := choice.Delta.Content != "" || len(choice.Delta.ToolCalls) > 0 || choice.FinishReason != nil
-	if hasPayload {
-		chunk.Choices = []aiwire.ChunkChoice{choice}
-	}
-	chunk.Usage = sdkUsageToIR(ev.Usage)
-	return chunk, hasPayload || chunk.Usage != nil
-}
@@ -0,0 +1,496 @@
+package oci
+
+// 真实 OCI GenAI effort 探针(重建版)。
+//
+// 前身 genai_cache_integration_test.go 承载缓存/亲和/服务端工具等历轮调研模式,
+// 调研结论均已归档(.trellis/tasks/archive/2026-07/*/research/),该文件已删除;
+// 本文件重建共享基础设施,保留 effort 支持矩阵探测,并新增 responses 端点探测
+// (multi-agent 模型仅允许走 Responses 面)。
+//
+// 运行(默认跳过,不触网):
+//
+//	OCI_GENAI_CACHE_PROBE=effort-matrix OCI_CACHE_DB=<db 绝对路径> DATA_KEY=<主密钥> \
+//	OCI_CACHE_RUN_ID=<唯一标识> go test ./internal/oci/ -run TestRealGenAiEffortMatrix -v
+//
+// 可选:OCI_CACHE_CONFIG_ID(默认 6)、OCI_CACHE_REGION(默认 us-chicago-1)、
+// OCI_EFFORT_CASES 自定义用例("model=effort" 逗号分隔;effort 后缀 "@responses"
+// 表示走 /actions/v1/responses 端点,如 "xai.grok-4.20-multi-agent=low@responses")。
+//
+// 纪律:数据库只读打开;OCI_GO_SDK_DEBUG 必须为空;日志不落原始请求体与凭据,
+// 错误消息经 OCID 遮掩后截断。
+
+import (
+	"context"
+	"encoding/json"
+	"fmt"
+	"io"
+	"net/http"
+	"os"
+	"regexp"
+	"strings"
+	"testing"
+	"time"
+
+	"github.com/glebarez/sqlite"
+	"github.com/oracle/oci-go-sdk/v65/common"
+	"github.com/oracle/oci-go-sdk/v65/generativeaiinference"
+	"gorm.io/gorm"
+	"gorm.io/gorm/logger"
+
+	projectcrypto "oci-portal/internal/crypto"
+	"oci-portal/internal/model"
+)
+
+const (
+	effortProbeRegion = "us-chicago-1"
+	effortProbeLimit  = int64(4 << 20)
+)
+
+var effortRunIDPattern = regexp.MustCompile(`^[A-Za-z0-9._-]{1,64}$`)
+
+type effortProbeCase struct {
+	model     string
+	effort    string
+	responses bool // true 走 /actions/v1/responses,否则 typed /actions/chat
+	stream    bool // 仅 responses 面:请求 SSE 流,观测事件类型序列
+}
+
+type effortProbeResources struct {
+	cred      Credentials
+	region    string
+	modelOCID map[string]string
+	inference generativeaiinference.GenerativeAiInferenceClient
+}
+
+type effortProbeResult struct {
+	status           int
+	requestRef       string
+	duration         time.Duration
+	errorCode        string
+	errorMessage     string
+	completionTokens int
+	reasoningTokens  int
+	answerLen        int
+	outputTypes      []string
+}
+
+// effortMatrixCases 默认批为 grok-4.3 五档基线;全模型矩阵结论见任务归档,
+// 复测用 OCI_EFFORT_CASES 自定义。
+func effortMatrixCases() []effortProbeCase {
+	if raw := os.Getenv("OCI_EFFORT_CASES"); raw != "" {
+		return parseEffortCases(raw)
+	}
+	return []effortProbeCase{
+		{model: "xai.grok-4.3", effort: "none", responses: true},
+		{model: "xai.grok-4.3", effort: "low", responses: true},
+		{model: "xai.grok-4.3", effort: "high", responses: true},
+	}
+}
+
+// parseEffortCases 解析 "model=effort[@responses|@responses-stream]" 逗号分隔用例。
+func parseEffortCases(raw string) []effortProbeCase {
+	var out []effortProbeCase
+	for _, item := range strings.Split(raw, ",") {
+		parts := strings.SplitN(strings.TrimSpace(item), "=", 2)
+		if len(parts) != 2 || parts[0] == "" || parts[1] == "" {
+			continue
+		}
+		effort, streaming := strings.CutSuffix(parts[1], "@responses-stream")
+		if streaming {
+			out = append(out, effortProbeCase{model: parts[0], effort: effort, responses: true, stream: true})
+			continue
+		}
+		effort, _ = strings.CutSuffix(effort, "@responses") // 后缀兼容保留;所有用例均走 responses 面
+		out = append(out, effortProbeCase{model: parts[0], effort: effort, responses: true})
+	}
+	return out
+}
+
+func TestRealGenAiEffortMatrix(t *testing.T) {
+	requireEffortProbeMode(t, "effort-matrix")
+	ctx, cancel := context.WithTimeout(context.Background(), 20*time.Minute)
+	defer cancel()
+	resources := newEffortProbeResources(t, ctx)
+	for _, tc := range effortMatrixCases() {
+		runEffortCase(t, ctx, resources, tc)
+	}
+}
+
+func requireEffortProbeMode(t *testing.T, wanted string) {
+	t.Helper()
+	if os.Getenv("OCI_GENAI_CACHE_PROBE") != wanted {
+		t.Skipf("set OCI_GENAI_CACHE_PROBE=%s to run", wanted)
+	}
+	if os.Getenv("OCI_GO_SDK_DEBUG") != "" {
+		t.Fatal("OCI_GO_SDK_DEBUG must be unset to protect signed requests")
+	}
+	if !effortRunIDPattern.MatchString(os.Getenv("OCI_CACHE_RUN_ID")) {
+		t.Fatal("set a unique OCI_CACHE_RUN_ID (1-64 safe characters)")
+	}
+}
+
+func runEffortCase(t *testing.T, ctx context.Context, resources effortProbeResources, tc effortProbeCase) {
+	t.Helper()
+	ocid, ok := resources.modelOCID[tc.model]
+	if !ok {
+		t.Logf("model=%s effort=%s resolve-failed: model not in on-demand catalog", tc.model, tc.effort)
+		return
+	}
+	_ = ocid
+	body, path, err := effortProbeBody(tc)
+	if err != nil {
+		t.Fatalf("build effort body: %v", err)
+	}
+	result := executeEffortProbe(ctx, resources, path, body)
+	logEffortResult(t, tc, result)
+}
+
+// effortProbeBody 构造 OpenAI Responses 直通请求体(typed chat 面已随网关剔除,
+// 探针仅保留 responses 端点;历史 typed 结论见任务归档)。
+func effortProbeBody(tc effortProbeCase) ([]byte, string, error) {
+	question := "How many positive divisors does 360 have? Answer with the number only."
+	body := map[string]interface{}{"model": tc.model, "input": question,
+		"max_output_tokens": 2048, "store": false}
+	if tc.effort != "" {
+		body["reasoning"] = map[string]string{"effort": tc.effort}
+	}
+	if tc.stream {
+		body["stream"] = true
+	}
+	payload, err := json.Marshal(body)
+	return payload, "/actions/v1/responses", err
+}
+
+// executeEffortProbe 以 IAM 签名裸 POST 指定路径;responses 面按生产实现补 compartment 头。
+func executeEffortProbe(ctx context.Context, resources effortProbeResources, path string, body []byte) effortProbeResult {
+	client := resources.inference.BaseClient
+	client.Configuration.CircuitBreaker = nil
+	common.UpdateEndpointTemplateForOptions(&client)
+	common.SetMissingTemplateParams(&client)
+	request, err := http.NewRequestWithContext(ctx, http.MethodPost, path, strings.NewReader(string(body)))
+	if err != nil {
+		return effortProbeResult{errorCode: "BuildRequest", errorMessage: err.Error()}
+	}
+	request.Header.Set("Content-Type", "application/json")
+	if path != "/actions/chat" {
+		request.Header.Set("CompartmentId", resources.cred.TenancyOCID)
+		request.Header.Set("opc-compartment-id", resources.cred.TenancyOCID)
+	}
+	return effortCallProbe(ctx, client, request)
+}
+
+func effortCallProbe(ctx context.Context, client common.BaseClient, request *http.Request) effortProbeResult {
+	started := time.Now()
+	response, err := client.Call(ctx, request)
+	result := effortProbeResult{duration: time.Since(started)}
+	if response != nil {
+		result.status = response.StatusCode
+		result.requestRef = shortEffortRef(response.Header.Get("opc-request-id"))
+		defer response.Body.Close()
+	}
+	if err != nil {
+		result.errorCode, result.errorMessage = effortProbeError(err)
+		return result
+	}
+	payload, readErr := io.ReadAll(io.LimitReader(response.Body, effortProbeLimit))
+	if readErr != nil {
+		result.errorCode, result.errorMessage = "ReadResponse", readErr.Error()
+		return result
+	}
+	parseEffortPayload(&result, payload)
+	return result
+}
+
+func effortProbeError(err error) (string, string) {
+	if serviceErr, ok := common.IsServiceError(err); ok {
+		return fmt.Sprintf("%d", serviceErr.GetHTTPStatusCode()), sanitizeEffortText(serviceErr.GetMessage())
+	}
+	return "CallError", sanitizeEffortText(err.Error())
+}
+
+// parseEffortPayload 兼容三种 usage 形态:typed 驼峰(chatResponse.usage.completionTokens)、
+// chat 兼容面下划线(usage.completion_tokens)、responses 面(usage.output_tokens)。
+func parseEffortPayload(result *effortProbeResult, payload []byte) {
+	if text := strings.TrimSpace(string(payload)); strings.HasPrefix(text, "event:") || strings.HasPrefix(text, "data:") {
+		parseEffortSSE(result, text)
+		return
+	}
+	var root map[string]interface{}
+	if json.Unmarshal(payload, &root) != nil {
+		return
+	}
+	result.answerLen = len(parseEffortAnswer(root))
+	result.outputTypes = parseEffortOutputTypes(root)
+	if typed, ok := root["chatResponse"].(map[string]interface{}); ok {
+		root = typed
+	}
+	usage, _ := root["usage"].(map[string]interface{})
+	for _, key := range []string{"completionTokens", "completion_tokens", "output_tokens"} {
+		if v, ok := effortInt(usage, key); ok {
+			result.completionTokens = v
+			break
+		}
+	}
+	for _, detailsKey := range []string{"completionTokensDetails", "completion_tokens_details", "output_tokens_details"} {
+		details, _ := usage[detailsKey].(map[string]interface{})
+		for _, key := range []string{"reasoningTokens", "reasoning_tokens"} {
+			if v, ok := effortInt(details, key); ok {
+				result.reasoningTokens = v
+			}
+		}
+	}
+}
+
+// parseEffortAnswer 提取正文文本:typed 取 chatResponse.choices[].message.content[].text,
+// responses 取 output[] 里 message 项的 content[].text。仅在内存中量长度,不落日志。
+func parseEffortAnswer(root map[string]interface{}) string {
+	var sb strings.Builder
+	if typed, ok := root["chatResponse"].(map[string]interface{}); ok {
+		choices, _ := typed["choices"].([]interface{})
+		for _, c := range choices {
+			cm, _ := c.(map[string]interface{})
+			msg, _ := cm["message"].(map[string]interface{})
+			collectEffortText(&sb, msg["content"])
+		}
+		return sb.String()
+	}
+	output, _ := root["output"].([]interface{})
+	for _, item := range output {
+		im, _ := item.(map[string]interface{})
+		if im["type"] == "message" {
+			collectEffortText(&sb, im["content"])
+		}
+	}
+	return sb.String()
+}
+
+func collectEffortText(sb *strings.Builder, content interface{}) {
+	parts, _ := content.([]interface{})
+	for _, p := range parts {
+		pm, _ := p.(map[string]interface{})
+		if text, ok := pm["text"].(string); ok {
+			sb.WriteString(text)
+		}
+	}
+}
+
+// parseEffortSSE 汇总 SSE 流:事件类型去重序列进 outputTypes,正文增量长度进 answerLen,
+// 末尾 completed 事件里的 usage 进 tokens 字段。
+func parseEffortSSE(result *effortProbeResult, text string) {
+	seen := map[string]bool{}
+	for _, line := range strings.Split(text, "\n") {
+		if name, ok := strings.CutPrefix(line, "event: "); ok {
+			if name = strings.TrimSpace(name); !seen[name] {
+				seen[name] = true
+				result.outputTypes = append(result.outputTypes, name)
+			}
+			continue
+		}
+		data, ok := strings.CutPrefix(line, "data: ")
+		if !ok {
+			continue
+		}
+		var ev map[string]interface{}
+		if json.Unmarshal([]byte(data), &ev) != nil {
+			continue
+		}
+		if name, ok := ev["type"].(string); ok && !seen[name] { // 纯 data: 行流(无 event: 行)从事件体取类型
+			seen[name] = true
+			result.outputTypes = append(result.outputTypes, name)
+		}
+		if delta, ok := ev["delta"].(string); ok && strings.Contains(fmt.Sprint(ev["type"]), "output_text") {
+			result.answerLen += len(delta)
+		}
+		if resp, ok := ev["response"].(map[string]interface{}); ok {
+			usage, _ := resp["usage"].(map[string]interface{})
+			if v, ok := effortInt(usage, "output_tokens"); ok {
+				result.completionTokens = v
+			}
+		}
+	}
+}
+
+// parseEffortOutputTypes 收集 responses 面 output 项类型序列(multi-agent 行为观测)。
+func parseEffortOutputTypes(root map[string]interface{}) []string {
+	output, _ := root["output"].([]interface{})
+	var types []string
+	for _, item := range output {
+		im, _ := item.(map[string]interface{})
+		if s, ok := im["type"].(string); ok {
+			types = append(types, s)
+		}
+	}
+	return types
+}
+
+func effortInt(root map[string]interface{}, key string) (int, bool) {
+	if root == nil {
+		return 0, false
+	}
+	if value, ok := root[key].(float64); ok {
+		return int(value), true
+	}
+	return 0, false
+}
+
+func logEffortResult(t *testing.T, tc effortProbeCase, result effortProbeResult) {
+	t.Helper()
+	endpoint := "typed-chat"
+	if tc.responses {
+		endpoint = "compat-responses"
+	}
+	t.Logf("endpoint=%s model=%s effort=%s status=%d completion=%d reasoning=%d answer_len=%d output_types=%v request=%s duration_ms=%d error=%s message=%q",
+		endpoint, tc.model, tc.effort, result.status, result.completionTokens, result.reasoningTokens,
+		result.answerLen, result.outputTypes, result.requestRef, result.duration.Milliseconds(),
+		result.errorCode, result.errorMessage)
+}
+
+// sanitizeEffortText 遮掩 OCID 并截断,避免错误消息携带租户可定位信息。
+func sanitizeEffortText(text string) string {
+	text = regexp.MustCompile(`ocid1\.[a-z0-9._-]+`).ReplaceAllString(text, "ocid1.***")
+	if len(text) > 300 {
+		text = text[:300] + "..."
+	}
+	return text
+}
+
+func shortEffortRef(ref string) string {
+	if len(ref) > 12 {
+		return ref[:12]
+	}
+	return ref
+}
+
+func effortEnvOr(key, fallback string) string {
+	if value := os.Getenv(key); value != "" {
+		return value
+	}
+	return fallback
+}
+
+// newEffortProbeResources 装配凭据、区域、inference 客户端与按需模型目录。
+func newEffortProbeResources(t *testing.T, ctx context.Context) effortProbeResources {
+	t.Helper()
+	cred := effortProbeCredentials(t)
+	region := effortEnvOr("OCI_CACHE_REGION", effortProbeRegion)
+	cred.Region = region
+	real := &RealClient{}
+	ic, err := real.genAiInferenceClient(cred, region)
+	if err != nil {
+		t.Fatalf("new inference client: %v", err)
+	}
+	models, err := real.ListGenAiModels(ctx, cred, region)
+	if err != nil {
+		t.Fatalf("list models: %s", sanitizeEffortText(err.Error()))
+	}
+	index := make(map[string]string, len(models))
+	for _, m := range models {
+		index[m.Name] = m.Ocid
+	}
+	return effortProbeResources{cred: cred, region: region, modelOCID: index, inference: ic}
+}
+
+// effortProbeCredentials 优先从面板数据库(只读)取渠道凭据,否则退回本地 ini 测试凭据。
+func effortProbeCredentials(t *testing.T) Credentials {
+	t.Helper()
+	if dbPath := os.Getenv("OCI_CACHE_DB"); dbPath != "" {
+		return effortDBCredentials(t, dbPath)
+	}
+	return loadTestCredentials(t, effortEnvOr("OCI_TEST_KEY", "试用期"))
+}
+
+func effortDBCredentials(t *testing.T, dbPath string) Credentials {
+	t.Helper()
+	dsn := fmt.Sprintf("file:%s?mode=ro", dbPath)
+	db, err := gorm.Open(sqlite.Open(dsn), &gorm.Config{Logger: logger.Default.LogMode(logger.Silent)})
+	if err != nil {
+		t.Fatalf("open read-only probe database: %v", err)
+	}
+	cipher, err := projectcrypto.NewCipher(os.Getenv("DATA_KEY"))
+	if err != nil {
+		t.Fatalf("create data cipher: %v", err)
+	}
+	var config model.OciConfig
+	if err := db.First(&config, effortEnvOr("OCI_CACHE_CONFIG_ID", "6")).Error; err != nil {
+		t.Fatalf("load OCI config: %v", err)
+	}
+	return decryptEffortCredentials(t, db, cipher, config)
+}
+
+func decryptEffortCredentials(t *testing.T, db *gorm.DB, cipher *projectcrypto.Cipher, config model.OciConfig) Credentials {
+	t.Helper()
+	privateKey, err := cipher.DecryptString(config.PrivateKeyEnc)
+	if err != nil {
+		t.Fatalf("decrypt OCI config %d private key: %v", config.ID, err)
+	}
+	passphrase := ""
+	if config.PassphraseEnc != "" {
+		if passphrase, err = cipher.DecryptString(config.PassphraseEnc); err != nil {
+			t.Fatalf("decrypt OCI config %d passphrase: %v", config.ID, err)
+		}
+	}
+	return Credentials{TenancyOCID: config.TenancyOCID, UserOCID: config.UserOCID,
+		Fingerprint: config.Fingerprint, Region: config.Region, PrivateKey: privateKey,
+		Passphrase: passphrase, Proxy: loadEffortProxy(t, db, cipher, config.ProxyID)}
+}
+
+func loadEffortProxy(t *testing.T, db *gorm.DB, cipher *projectcrypto.Cipher, proxyID *uint) *ProxySpec {
+	t.Helper()
+	if proxyID == nil {
+		return nil
+	}
+	var proxy model.Proxy
+	if err := db.First(&proxy, *proxyID).Error; err != nil {
+		t.Fatalf("load proxy %d: %v", *proxyID, err)
+	}
+	password := ""
+	if proxy.PasswordEnc != "" {
+		decrypted, err := cipher.DecryptString(proxy.PasswordEnc)
+		if err != nil {
+			t.Fatalf("decrypt proxy %d password: %v", *proxyID, err)
+		}
+		password = decrypted
+	}
+	return &ProxySpec{Type: proxy.Type, Host: proxy.Host, Port: proxy.Port,
+		Username: proxy.Username, Password: password}
+}
+
+// TestParseEffortCases 断言自定义用例解析:端点后缀、空项与畸形项跳过。
+func TestParseEffortCases(t *testing.T) {
+	got := parseEffortCases("a=low, b=high@responses ,bad,=x,c=")
+	want := []effortProbeCase{{model: "a", effort: "low", responses: true}, {model: "b", effort: "high", responses: true}}
+	if len(got) != len(want) {
+		t.Fatalf("parseEffortCases = %+v, want %+v", got, want)
+	}
+	for i := range want {
+		if got[i] != want[i] {
+			t.Fatalf("case %d = %+v, want %+v", i, got[i], want[i])
+		}
+	}
+}
+
+// TestParseEffortPayload 断言三种 usage 形态与 output 类型序列的解析。
+func TestParseEffortPayload(t *testing.T) {
+	cases := []struct {
+		name       string
+		payload    string
+		completion int
+		reasoning  int
+		types      int
+	}{
+		{"typed 驼峰", `{"chatResponse":{"choices":[{"message":{"content":[{"type":"TEXT","text":"24"}]}}],"usage":{"completionTokens":5,"completionTokensDetails":{"reasoningTokens":9}}}}`, 5, 9, 0},
+		{"responses 面", `{"output":[{"type":"reasoning"},{"type":"message","content":[{"type":"output_text","text":"24"}]}],"usage":{"output_tokens":7,"output_tokens_details":{"reasoning_tokens":3}}}`, 7, 3, 2},
+	}
+	for _, tc := range cases {
+		t.Run(tc.name, func(t *testing.T) {
+			var result effortProbeResult
+			parseEffortPayload(&result, []byte(tc.payload))
+			if result.completionTokens != tc.completion || result.reasoningTokens != tc.reasoning || len(result.outputTypes) != tc.types {
+				t.Fatalf("parse = %+v, want completion=%d reasoning=%d types=%d", result, tc.completion, tc.reasoning, tc.types)
+			}
+			if result.answerLen != 2 {
+				t.Fatalf("answerLen = %d, want 2", result.answerLen)
+			}
+		})
+	}
+}
@@ -0,0 +1,73 @@
+package oci
+
+import (
+	"bytes"
+	"context"
+	"fmt"
+	"io"
+	"net/http"
+
+	"github.com/oracle/oci-go-sdk/v65/common"
+)
+
+// compatResponsesLimit 限制直通响应体大小;web_search 输出含多段引用,给足余量。
+const compatResponsesLimit = int64(8 << 20)
+
+// GenAiCompatResponses 实现 Client:把 OpenAI Responses 请求体直通到 OCI
+// `/20231130/actions/v1/responses`(IAM 签名)。该端点实测可执行 xAI 服务端工具
+// (web_search / x_search),但不在 Oracle 文档化工具白名单内,行为可能随服务
+// 版本、模型或区域变化;调用方须自行校验并改写请求体(store/stream)。
+func (c *RealClient) GenAiCompatResponses(ctx context.Context, cred Credentials, region string, body []byte) ([]byte, error) {
+	ic, err := c.genAiInferenceClient(cred, region)
+	if err != nil {
+		return nil, err
+	}
+	client := ic.BaseClient
+	common.UpdateEndpointTemplateForOptions(&client)
+	common.SetMissingTemplateParams(&client)
+	request, err := http.NewRequestWithContext(ctx, http.MethodPost, "/actions/v1/responses", bytes.NewReader(body))
+	if err != nil {
+		return nil, fmt.Errorf("build compat responses request: %w", err)
+	}
+	request.Header.Set("Content-Type", "application/json")
+	request.Header.Set("CompartmentId", cred.TenancyOCID)
+	request.Header.Set("opc-compartment-id", cred.TenancyOCID)
+	response, err := client.Call(ctx, request)
+	if err != nil {
+		return nil, err
+	}
+	defer response.Body.Close()
+	payload, err := io.ReadAll(io.LimitReader(response.Body, compatResponsesLimit))
+	if err != nil {
+		return nil, fmt.Errorf("read compat responses body: %w", err)
+	}
+	return payload, nil
+}
+
+// GenAiCompatResponsesStream 实现 Client:以流式直通 OCI `/actions/v1/responses`,
+// 建立成功(2xx)返回 SSE body(调用方负责 Close);建立失败返回 SDK ServiceError,
+// 与既有渠道切换/熔断错误分类兼容。请求体须由调用方置 stream:true。
+func (c *RealClient) GenAiCompatResponsesStream(ctx context.Context, cred Credentials, region string, body []byte) (io.ReadCloser, error) {
+	ic, err := c.genAiInferenceClient(cred, region)
+	if err != nil {
+		return nil, err
+	}
+	client := ic.BaseClient
+	common.UpdateEndpointTemplateForOptions(&client)
+	common.SetMissingTemplateParams(&client)
+	request, err := http.NewRequestWithContext(ctx, http.MethodPost, "/actions/v1/responses", bytes.NewReader(body))
+	if err != nil {
+		return nil, fmt.Errorf("build compat responses stream request: %w", err)
+	}
+	request.Header.Set("Content-Type", "application/json")
+	request.Header.Set("CompartmentId", cred.TenancyOCID)
+	request.Header.Set("opc-compartment-id", cred.TenancyOCID)
+	response, err := client.Call(ctx, request)
+	if err != nil {
+		if response != nil && response.Body != nil {
+			response.Body.Close()
+		}
+		return nil, err
+	}
+	return response.Body, nil
+}
@@ -38,3 +38,33 @@ func TestToGenAiModelRetiredFilter(t *testing.T) {
 		t.Error("正常模型应入池")
 	}
 }
+
+func TestDedupGenAiModelsFineTunePreference(t *testing.T) {
+	now := time.Date(2026, 7, 10, 0, 0, 0, 0, time.UTC)
+	chat := []generativeai.ModelCapabilityEnum{generativeai.ModelCapabilityChat}
+	chatFT := []generativeai.ModelCapabilityEnum{generativeai.ModelCapabilityChat, generativeai.ModelCapabilityFineTune}
+	mk := func(id, name string, caps []generativeai.ModelCapabilityEnum) generativeai.ModelSummary {
+		return generativeai.ModelSummary{
+			Id: common.String(id), DisplayName: common.String(name), Vendor: common.String("meta"),
+			Capabilities: caps, LifecycleState: generativeai.ModelLifecycleStateActive,
+		}
+	}
+	const name = "meta.llama-3-70b-instruct"
+	tests := []struct {
+		name  string
+		items []generativeai.ModelSummary
+		want  string // 期望保留的 OCID
+	}{
+		{"基座在前、纯对话在后:保留纯对话条目", []generativeai.ModelSummary{mk("o-ft", name, chatFT), mk("o-od", name, chat)}, "o-od"},
+		{"纯对话在前、基座在后:保留纯对话条目", []generativeai.ModelSummary{mk("o-od", name, chat), mk("o-ft", name, chatFT)}, "o-od"},
+		{"仅基座条目:保留不误删", []generativeai.ModelSummary{mk("o-ft", name, chatFT)}, "o-ft"},
+	}
+	for _, tt := range tests {
+		t.Run(tt.name, func(t *testing.T) {
+			got := dedupGenAiModels(tt.items, now)
+			if len(got) != 1 || got[0].Ocid != tt.want {
+				t.Errorf("dedupGenAiModels() = %+v, want 仅保留 %s", got, tt.want)
+			}
+		})
+	}
+}
@@ -1,193 +1,27 @@
 package oci

 import (
-	"encoding/json"
 	"testing"

 	"github.com/oracle/oci-go-sdk/v65/generativeaiinference"
-
-	"oci-portal/internal/aiwire"
 )

-// TestIrToSDK 断言 IR→GENERIC 的角色拆装、采样参数与工具映射。
-func TestIrToSDK(t *testing.T) {
-	temp, mt := 0.7, 100
-	ir := aiwire.ChatRequest{
-		Model: "meta.llama-3.3-70b-instruct",
-		Messages: []aiwire.ChatMessage{
-			{Role: "system", Content: aiwire.NewTextContent("你是助手")},
-			{Role: "user", Content: aiwire.NewTextContent("你好")},
-			{Role: "assistant", ToolCalls: []aiwire.ToolCall{{ID: "c1", Type: "function", Function: aiwire.FunctionCall{Name: "get_weather", Arguments: `{"city":"东京"}`}}}},
-			{Role: "tool", ToolCallID: "c1", Content: aiwire.NewTextContent("晴")},
-		},
-		Temperature: &temp,
-		MaxTokens:   &mt,
-		Stop:        aiwire.StringList{"END"},
-		Tools:       []aiwire.Tool{{Type: "function", Function: aiwire.FunctionDef{Name: "get_weather", Parameters: json.RawMessage(`{"type":"object"}`)}}},
-		ToolChoice:  json.RawMessage(`"auto"`),
-	}
-	req := irToSDK(ir, true)
-	if len(req.Messages) != 4 {
-		t.Fatalf("messages = %d, want 4", len(req.Messages))
-	}
-	if _, ok := req.Messages[0].(generativeaiinference.SystemMessage); !ok {
-		t.Fatalf("messages[0] = %T, want SystemMessage", req.Messages[0])
-	}
-	am, ok := req.Messages[2].(generativeaiinference.AssistantMessage)
-	if !ok || len(am.ToolCalls) != 1 {
-		t.Fatalf("assistant tool calls 未映射: %T %+v", req.Messages[2], am)
-	}
-	tm, ok := req.Messages[3].(generativeaiinference.ToolMessage)
-	if !ok || deref(tm.ToolCallId) != "c1" {
-		t.Fatalf("tool message 未映射 toolCallId: %+v", tm)
-	}
-	if req.Temperature == nil || *req.Temperature != 0.7 {
-		t.Fatalf("temperature 未直通")
-	}
-	if req.MaxTokens == nil || *req.MaxTokens != 100 || len(req.Stop) != 1 {
-		t.Fatalf("maxTokens/stop 未直通")
-	}
-	if _, ok := req.ToolChoice.(generativeaiinference.ToolChoiceAuto); !ok {
-		t.Fatalf("toolChoice = %T, want auto", req.ToolChoice)
-	}
-	if len(req.Tools) != 1 || req.IsStream == nil || !*req.IsStream || req.StreamOptions == nil {
-		t.Fatalf("tools/stream 选项未映射")
-	}
-}
-
-// TestSdkToIR 断言响应文本、工具调用与用量的反向映射。
-func TestSdkToIR(t *testing.T) {
-	text, fr := "东京晴", "tool_calls"
-	idx, pt, ct, tt := 0, 10, 5, 15
-	id, name, args := "c1", "get_weather", `{"city":"东京"}`
-	resp := generativeaiinference.GenericChatResponse{
-		Choices: []generativeaiinference.ChatChoice{{
-			Index: &idx,
-			Message: generativeaiinference.AssistantMessage{
-				Content:   []generativeaiinference.ChatContent{generativeaiinference.TextContent{Text: &text}},
-				ToolCalls: []generativeaiinference.ToolCall{generativeaiinference.FunctionCall{Id: &id, Name: &name, Arguments: &args}},
-			},
-			FinishReason: &fr,
-		}},
-		Usage: &generativeaiinference.Usage{PromptTokens: &pt, CompletionTokens: &ct, TotalTokens: &tt},
-	}
-	out := sdkToIR(resp, "m1")
-	if len(out.Choices) != 1 || out.Choices[0].Message.Content.JoinText() != "东京晴" {
-		t.Fatalf("文本未映射: %+v", out)
-	}
-	if out.Choices[0].FinishReason != "tool_calls" || len(out.Choices[0].Message.ToolCalls) != 1 {
-		t.Fatalf("finishReason/toolCalls 未映射: %+v", out.Choices[0])
-	}
-	if out.Usage == nil || out.Usage.TotalTokens != 15 {
-		t.Fatalf("usage 未映射: %+v", out.Usage)
-	}
-}
-
-// TestParseGenAiEvent 断言流事件宽容解析:文本增量、结束原因与 usage 事件。
-func TestParseGenAiEvent(t *testing.T) {
-	chunk, ok := parseGenAiEvent([]byte(`{"index":0,"message":{"role":"ASSISTANT","content":[{"type":"TEXT","text":"你"}]}}`), "m1")
-	if !ok || len(chunk.Choices) != 1 || chunk.Choices[0].Delta.Content != "你" {
-		t.Fatalf("文本增量解析失败: %+v", chunk)
-	}
-	chunk, ok = parseGenAiEvent([]byte(`{"finishReason":"stop","usage":{"promptTokens":3,"completionTokens":2,"totalTokens":5}}`), "m1")
-	if !ok || chunk.Choices[0].FinishReason == nil || *chunk.Choices[0].FinishReason != "stop" {
-		t.Fatalf("finishReason 解析失败: %+v", chunk)
-	}
-	if chunk.Usage == nil || chunk.Usage.TotalTokens != 5 {
-		t.Fatalf("usage 解析失败: %+v", chunk.Usage)
-	}
-	if _, ok := parseGenAiEvent([]byte(`{}`), "m1"); ok {
-		t.Fatal("空事件应返回 ok=false")
-	}
-}
-
+// TestSdkUsageCachedTokens 断言 embed 用量映射:缓存命中挂 details,仅命中 >0 时出现。
 func TestSdkUsageCachedTokens(t *testing.T) {
 	p, c, tot, cached := 10, 5, 15, 8
 	u := sdkUsageToIR(&generativeaiinference.Usage{PromptTokens: &p, CompletionTokens: &c, TotalTokens: &tot,
 		PromptTokensDetails: &generativeaiinference.PromptTokensDetails{CachedTokens: &cached}})
-	if u.CachedTokens() != 8 {
-		t.Errorf("CachedTokens = %d, want 8", u.CachedTokens())
+	if u.PromptTokens != 10 || u.CompletionTokens != 5 || u.TotalTokens != 15 {
+		t.Fatalf("usage 映射错误: %+v", u)
 	}
-	if sdkUsageToIR(&generativeaiinference.Usage{PromptTokens: &p}).CachedTokens() != 0 {
-		t.Error("无细分时 CachedTokens 应为 0")
+	if u.PromptTokensDetails == nil || u.PromptTokensDetails.CachedTokens != 8 {
+		t.Fatalf("cachedTokens 未映射: %+v", u.PromptTokensDetails)
 	}
-}
-
-func TestIrToCohereSDK(t *testing.T) {
-	ir := aiwire.ChatRequest{
-		Model: "cohere.command-r-plus",
-		Messages: []aiwire.ChatMessage{
-			{Role: "system", Content: aiwire.NewTextContent("你是助手")},
-			{Role: "user", Content: aiwire.NewTextContent("第一问")},
-			{Role: "assistant", Content: aiwire.NewTextContent("第一答")},
-			{Role: "user", Content: aiwire.NewTextContent("第二问")},
-		},
+	zero := 0
+	if got := sdkUsageToIR(&generativeaiinference.Usage{PromptTokens: &p, PromptTokensDetails: &generativeaiinference.PromptTokensDetails{CachedTokens: &zero}}); got.PromptTokensDetails != nil {
+		t.Fatalf("零命中不应带 details: %+v", got.PromptTokensDetails)
 	}
-	req, err := irToCohereSDK(ir, true)
-	if err != nil {
-		t.Fatalf("irToCohereSDK: %v", err)
-	}
-	if *req.Message != "第二问" || *req.PreambleOverride != "你是助手" || len(req.ChatHistory) != 2 {
-		t.Errorf("拆装错误: msg=%q preamble=%v history=%d", *req.Message, req.PreambleOverride, len(req.ChatHistory))
-	}
-	if _, ok := req.ChatHistory[0].(generativeaiinference.CohereUserMessage); !ok {
-		t.Errorf("history[0] 应为 user: %T", req.ChatHistory[0])
-	}
-	if _, ok := req.ChatHistory[1].(generativeaiinference.CohereChatBotMessage); !ok {
-		t.Errorf("history[1] 应为 chatbot: %T", req.ChatHistory[1])
-	}
-	if req.IsStream == nil || !*req.IsStream {
-		t.Error("IsStream 未设置")
-	}
-	if req.StreamOptions == nil || req.StreamOptions.IsIncludeUsage == nil || !*req.StreamOptions.IsIncludeUsage {
-		t.Error("流式应默认开启 usage 回传(StreamOptions.IsIncludeUsage)")
-	}
-	// 工具定义降级为扁平参数表(仅取 JSON Schema 顶层 properties)
-	ir.Tools = []aiwire.Tool{{Type: "function", Function: aiwire.FunctionDef{
-		Name: "get_weather", Parameters: json.RawMessage(`{"type":"object","properties":{"city":{"type":"string","description":"城市"}},"required":["city"]}`)}}}
-	req2, err := irToCohereSDK(ir, false)
-	if err != nil {
-		t.Fatalf("工具请求应支持: %v", err)
-	}
-	tool := req2.Tools[0]
-	if *tool.Name != "get_weather" || *tool.Description != "get_weather" {
-		t.Errorf("tool = %+v", tool)
-	}
-	if pd, ok := tool.ParameterDefinitions["city"]; !ok || *pd.Type != "string" || pd.IsRequired == nil || !*pd.IsRequired {
-		t.Errorf("param city = %+v", pd)
-	}
-	// 图片输入仍拒绝
-	ir.Tools = nil
-	ir.Messages = append(ir.Messages, aiwire.ChatMessage{Role: "user", Content: aiwire.NewPartsContent([]aiwire.ContentPart{
-		{Type: "image_url", ImageURL: &aiwire.ImageURL{URL: "data:image/png;base64,xx"}}})})
-	if _, err := irToCohereSDK(ir, false); err == nil {
-		t.Error("图片输入应被拒绝")
-	}
-	// 无 user 消息被拒
-	if _, err := irToCohereSDK(aiwire.ChatRequest{Model: "cohere.x", Messages: []aiwire.ChatMessage{{Role: "system", Content: aiwire.NewTextContent("s")}}}, false); err == nil {
-		t.Error("无 user 消息应被拒绝")
-	}
-}
-
-func TestCohereSDKToIR(t *testing.T) {
-	text := "回答"
-	resp := generativeaiinference.CohereChatResponse{
-		Text:         &text,
-		FinishReason: generativeaiinference.CohereChatResponseFinishReasonComplete,
-	}
-	out := cohereSDKToIR(resp, "cohere.command-r-plus")
-	if out.Choices[0].Message.Content.JoinText() != "回答" || out.Choices[0].FinishReason != "stop" {
-		t.Errorf("cohereSDKToIR = %+v", out.Choices[0])
-	}
-}
-
-func TestParseGenAiEventCohere(t *testing.T) {
-	chunk, ok := parseGenAiEvent([]byte(`{"apiFormat":"COHERE","text":"你好"}`), "cohere.command-r")
-	if !ok || chunk.Choices[0].Delta.Content != "你好" {
-		t.Errorf("cohere text 事件解析 = %+v, %v", chunk, ok)
-	}
-	chunk, ok = parseGenAiEvent([]byte(`{"apiFormat":"COHERE","finishReason":"COMPLETE","usage":{"promptTokens":3,"completionTokens":5,"totalTokens":8}}`), "cohere.command-r")
-	if !ok || *chunk.Choices[0].FinishReason != "stop" || chunk.Usage.TotalTokens != 8 {
-		t.Errorf("cohere 终帧解析 = %+v, %v", chunk, ok)
+	if sdkUsageToIR(nil) != nil {
+		t.Fatal("nil usage 应返回 nil")
 	}
 }
@@ -1,332 +0,0 @@
-package service
-
-import (
-	"encoding/json"
-	"fmt"
-	"strings"
-
-	"oci-portal/internal/aiwire"
-)
-
-// ErrAiUnsupportedBlock 表示请求含网关无法承接的内容块(仅支持文本与图片)。
-var ErrAiUnsupportedBlock = fmt.Errorf("暂不支持文本与图片以外的内容块")
-
-// AnthropicToIR 把 Anthropic Messages 请求转为 IR(OpenAI 线格式)。
-// tool_result 块拆为独立 tool 角色消息(一拆多),顶层 system 变首条 system 消息。
-func AnthropicToIR(req aiwire.MessagesRequest) (aiwire.ChatRequest, error) {
-	ir := aiwire.ChatRequest{
-		Model:       req.Model,
-		Temperature: req.Temperature,
-		TopP:        req.TopP,
-		TopK:        req.TopK,
-		Stop:        req.StopSequences,
-		Stream:      req.Stream,
-		Tools:       anthTools(req.Tools),
-		ToolChoice:  anthToolChoice(req.ToolChoice),
-	}
-	if req.MaxTokens > 0 {
-		mt := req.MaxTokens
-		ir.MaxTokens = &mt
-	}
-	if sys := req.SystemText(); sys != "" {
-		ir.Messages = append(ir.Messages, aiwire.ChatMessage{Role: "system", Content: aiwire.NewTextContent(sys)})
-	}
-	for _, m := range req.Messages {
-		msgs, err := anthMessageToIR(m)
-		if err != nil {
-			return ir, err
-		}
-		ir.Messages = append(ir.Messages, msgs...)
-	}
-	return ir, nil
-}
-
-// anthMessageToIR 拆解单条 Anthropic 消息;user 消息里的 tool_result 前置为独立 tool 消息,
-// image 块转为 IR image_url 部件。
-func anthMessageToIR(m aiwire.AnthMessage) ([]aiwire.ChatMessage, error) {
-	var out []aiwire.ChatMessage
-	var parts []aiwire.ContentPart
-	var toolCalls []aiwire.ToolCall
-	hasImage := false
-	for _, b := range m.Content.AllBlocks() {
-		switch b.Type {
-		case "text":
-			parts = append(parts, aiwire.ContentPart{Type: "text", Text: b.Text})
-		case "image":
-			p, err := anthImagePart(b.Source)
-			if err != nil {
-				return nil, err
-			}
-			parts, hasImage = append(parts, p), true
-		case "tool_use":
-			toolCalls = append(toolCalls, aiwire.ToolCall{ID: b.ID, Type: "function",
-				Function: aiwire.FunctionCall{Name: b.Name, Arguments: string(b.Input)}})
-		case "tool_result":
-			out = append(out, aiwire.ChatMessage{Role: "tool", ToolCallID: b.ToolUseID,
-				Content: aiwire.NewTextContent(b.ResultText())})
-		case "thinking", "redacted_thinking":
-			// 一期忽略 thinking 块
-		default:
-			return nil, ErrAiUnsupportedBlock
-		}
-	}
-	content := partsContent(parts, hasImage)
-	if hasImage || content.JoinText() != "" || len(toolCalls) > 0 {
-		out = append(out, aiwire.ChatMessage{Role: m.Role, Content: content, ToolCalls: toolCalls})
-	}
-	return out, nil
-}
-
-// anthImagePart 把 Anthropic image 块转为 IR image_url 部件(base64 → data URI)。
-func anthImagePart(source json.RawMessage) (aiwire.ContentPart, error) {
-	var src struct {
-		Type      string `json:"type"`
-		MediaType string `json:"media_type"`
-		Data      string `json:"data"`
-		URL       string `json:"url"`
-	}
-	if err := json.Unmarshal(source, &src); err != nil {
-		return aiwire.ContentPart{}, fmt.Errorf("image source 解析失败: %w", err)
-	}
-	switch src.Type {
-	case "base64":
-		if src.MediaType == "" || src.Data == "" {
-			return aiwire.ContentPart{}, fmt.Errorf("image source 缺少 media_type 或 data")
-		}
-		url := "data:" + src.MediaType + ";base64," + src.Data
-		return aiwire.ContentPart{Type: "image_url", ImageURL: &aiwire.ImageURL{URL: url}}, nil
-	case "url":
-		if src.URL == "" {
-			return aiwire.ContentPart{}, fmt.Errorf("image source 缺少 url")
-		}
-		return aiwire.ContentPart{Type: "image_url", ImageURL: &aiwire.ImageURL{URL: src.URL}}, nil
-	}
-	return aiwire.ContentPart{}, fmt.Errorf("不支持的 image source 类型 %q", src.Type)
-}
-
-// partsContent 无图片时退回字符串形态(与上游线格式习惯一致),含图片时保留块数组。
-func partsContent(parts []aiwire.ContentPart, hasImage bool) aiwire.Content {
-	if !hasImage {
-		var sb strings.Builder
-		for _, p := range parts {
-			sb.WriteString(p.Text)
-		}
-		return aiwire.NewTextContent(sb.String())
-	}
-	return aiwire.NewPartsContent(parts)
-}
-
-func anthTools(tools []aiwire.AnthTool) []aiwire.Tool {
-	if len(tools) == 0 {
-		return nil
-	}
-	out := make([]aiwire.Tool, 0, len(tools))
-	for _, t := range tools {
-		out = append(out, aiwire.Tool{Type: "function", Function: aiwire.FunctionDef{
-			Name: t.Name, Description: t.Description, Parameters: t.InputSchema}})
-	}
-	return out
-}
-
-// anthToolChoice 映射 {type:auto|any|tool,name} → OpenAI 形态。
-func anthToolChoice(raw json.RawMessage) json.RawMessage {
-	if len(raw) == 0 {
-		return nil
-	}
-	var tc struct {
-		Type string `json:"type"`
-		Name string `json:"name"`
-	}
-	if json.Unmarshal(raw, &tc) != nil {
-		return nil
-	}
-	switch tc.Type {
-	case "auto":
-		return json.RawMessage(`"auto"`)
-	case "any":
-		return json.RawMessage(`"required"`)
-	case "tool":
-		b, _ := json.Marshal(map[string]any{"type": "function", "function": map[string]string{"name": tc.Name}})
-		return b
-	case "none":
-		return json.RawMessage(`"none"`)
-	}
-	return nil
-}
-
-// IRRespToAnthropic 把 IR 非流式响应转为 Anthropic Messages 响应。
-func IRRespToAnthropic(resp *aiwire.ChatResponse, id string) aiwire.MessagesResponse {
-	out := aiwire.MessagesResponse{ID: id, Type: "message", Role: "assistant", Model: resp.Model, Content: []aiwire.AnthBlock{}}
-	if len(resp.Choices) > 0 {
-		choice := resp.Choices[0]
-		if text := choice.Message.Content.JoinText(); text != "" {
-			out.Content = append(out.Content, aiwire.AnthBlock{Type: "text", Text: text})
-		}
-		for _, tc := range choice.Message.ToolCalls {
-			out.Content = append(out.Content, aiwire.AnthBlock{Type: "tool_use", ID: tc.ID,
-				Name: tc.Function.Name, Input: argsToJSON(tc.Function.Arguments)})
-		}
-		out.StopReason = anthStopReason(choice.FinishReason)
-	}
-	if resp.Usage != nil {
-		out.Usage = aiwire.AnthUsage{InputTokens: resp.Usage.PromptTokens, OutputTokens: resp.Usage.CompletionTokens,
-			CacheReadInputTokens: resp.Usage.CachedTokens()}
-	}
-	return out
-}
-
-// argsToJSON 保证 tool_use.input 是合法 JSON 对象(模型可能产出非法片段)。
-func argsToJSON(args string) json.RawMessage {
-	trimmed := strings.TrimSpace(args)
-	if trimmed == "" {
-		return json.RawMessage(`{}`)
-	}
-	if json.Valid([]byte(trimmed)) {
-		return json.RawMessage(trimmed)
-	}
-	b, _ := json.Marshal(map[string]string{"_raw": args})
-	return b
-}
-
-func anthStopReason(finish string) string {
-	switch finish {
-	case "length":
-		return "max_tokens"
-	case "tool_calls":
-		return "tool_use"
-	default:
-		return "end_turn"
-	}
-}
-
-// ---- Anthropic 流式状态机 ----
-
-// AnthEvent 是一条待写出的 Anthropic SSE 事件。
-type AnthEvent struct {
-	Event string
-	Data  any
-}
-
-// AnthStream 把 IR chunk 流聚合为 Anthropic 事件序列:
-// message_start → content_block_start/delta/stop(text 与 tool_use 分块)→ message_delta → message_stop。
-type AnthStream struct {
-	id, model   string
-	started     bool
-	blockOpen   bool
-	blockIsTool bool
-	toolID      string
-	blockIndex  int
-	stopReason  string
-	usage       aiwire.AnthUsage
-}
-
-// NewAnthStream 构造状态机;id 为响应消息 ID。
-func NewAnthStream(id, model string) *AnthStream {
-	return &AnthStream{id: id, model: model, blockIndex: -1, stopReason: "end_turn"}
-}
-
-// Feed 消费一个 IR chunk,返回应立即写出的事件。
-func (st *AnthStream) Feed(chunk aiwire.ChatChunk) []AnthEvent {
-	var events []AnthEvent
-	if !st.started {
-		st.started = true
-		events = append(events, st.startEvent())
-	}
-	if chunk.Usage != nil {
-		st.usage = aiwire.AnthUsage{InputTokens: chunk.Usage.PromptTokens, OutputTokens: chunk.Usage.CompletionTokens,
-			CacheReadInputTokens: chunk.Usage.CachedTokens()}
-	}
-	for _, choice := range chunk.Choices {
-		events = append(events, st.feedDelta(choice.Delta)...)
-		if choice.FinishReason != nil && *choice.FinishReason != "" {
-			st.stopReason = anthStopReason(*choice.FinishReason)
-		}
-	}
-	return events
-}
-
-func (st *AnthStream) startEvent() AnthEvent {
-	return AnthEvent{Event: "message_start", Data: map[string]any{
-		"type": "message_start",
-		"message": map[string]any{
-			"id": st.id, "type": "message", "role": "assistant", "model": st.model,
-			"content": []any{}, "stop_reason": nil,
-			"usage": map[string]int{"input_tokens": 0, "output_tokens": 0},
-		},
-	}}
-}
-
-// feedDelta 处理文本与工具调用增量,必要时切块。
-func (st *AnthStream) feedDelta(d aiwire.Delta) []AnthEvent {
-	var events []AnthEvent
-	if d.Content != "" {
-		if !st.blockOpen || st.blockIsTool {
-			events = append(events, st.openBlock(false, "", "")...)
-		}
-		events = append(events, AnthEvent{Event: "content_block_delta", Data: map[string]any{
-			"type": "content_block_delta", "index": st.blockIndex,
-			"delta": map[string]string{"type": "text_delta", "text": d.Content},
-		}})
-	}
-	for _, tc := range d.ToolCalls {
-		if tc.ID != "" && (!st.blockOpen || !st.blockIsTool || st.toolID != tc.ID) {
-			events = append(events, st.openBlock(true, tc.ID, tc.Function.Name)...)
-		}
-		if tc.Function.Arguments != "" && st.blockOpen && st.blockIsTool {
-			events = append(events, AnthEvent{Event: "content_block_delta", Data: map[string]any{
-				"type": "content_block_delta", "index": st.blockIndex,
-				"delta": map[string]string{"type": "input_json_delta", "partial_json": tc.Function.Arguments},
-			}})
-		}
-	}
-	return events
-}
-
-// openBlock 关闭当前块并打开新块(text 或 tool_use)。
-func (st *AnthStream) openBlock(isTool bool, toolID, toolName string) []AnthEvent {
-	var events []AnthEvent
-	if st.blockOpen {
-		events = append(events, st.closeBlockEvent())
-	}
-	st.blockOpen, st.blockIsTool, st.toolID = true, isTool, toolID
-	st.blockIndex++
-	block := map[string]any{"type": "text", "text": ""}
-	if isTool {
-		block = map[string]any{"type": "tool_use", "id": toolID, "name": toolName, "input": map[string]any{}}
-	}
-	events = append(events, AnthEvent{Event: "content_block_start", Data: map[string]any{
-		"type": "content_block_start", "index": st.blockIndex, "content_block": block,
-	}})
-	return events
-}
-
-func (st *AnthStream) closeBlockEvent() AnthEvent {
-	return AnthEvent{Event: "content_block_stop", Data: map[string]any{
-		"type": "content_block_stop", "index": st.blockIndex,
-	}}
-}
-
-// Finish 在上游流结束后收尾:关块 → message_delta(stop_reason+usage)→ message_stop。
-func (st *AnthStream) Finish() []AnthEvent {
-	var events []AnthEvent
-	if !st.started {
-		events = append(events, st.startEvent())
-		st.started = true
-	}
-	if st.blockOpen {
-		events = append(events, st.closeBlockEvent())
-		st.blockOpen = false
-	}
-	events = append(events,
-		AnthEvent{Event: "message_delta", Data: map[string]any{
-			"type":  "message_delta",
-			"delta": map[string]any{"stop_reason": st.stopReason, "stop_sequence": nil},
-			"usage": map[string]int{"output_tokens": st.usage.OutputTokens},
-		}},
-		AnthEvent{Event: "message_stop", Data: map[string]any{"type": "message_stop"}},
-	)
-	return events
-}
-
-// Usage 返回聚合到的用量(供调用日志)。
-func (st *AnthStream) Usage() aiwire.AnthUsage { return st.usage }
@@ -1,136 +0,0 @@
-package service
-
-import (
-	"encoding/json"
-	"strings"
-	"testing"
-
-	"oci-portal/internal/aiwire"
-)
-
-func mustAnthReq(t *testing.T, body string) aiwire.MessagesRequest {
-	t.Helper()
-	var req aiwire.MessagesRequest
-	if err := json.Unmarshal([]byte(body), &req); err != nil {
-		t.Fatalf("unmarshal anthropic request: %v", err)
-	}
-	return req
-}
-
-func TestAnthropicToIR(t *testing.T) {
-	req := mustAnthReq(t, `{
-		"model": "meta.llama-3.3-70b-instruct", "max_tokens": 128, "system": "你是助手",
-		"messages": [
-			{"role": "user", "content": "东京天气?"},
-			{"role": "assistant", "content": [
-				{"type": "text", "text": "查询中"},
-				{"type": "tool_use", "id": "t1", "name": "get_weather", "input": {"city": "东京"}}
-			]},
-			{"role": "user", "content": [
-				{"type": "tool_result", "tool_use_id": "t1", "content": "晴 25 度"},
-				{"type": "text", "text": "继续"}
-			]}
-		],
-		"tools": [{"name": "get_weather", "input_schema": {"type": "object"}}],
-		"tool_choice": {"type": "any"}
-	}`)
-	ir, err := AnthropicToIR(req)
-	if err != nil {
-		t.Fatalf("AnthropicToIR: %v", err)
-	}
-	roles := make([]string, 0, len(ir.Messages))
-	for _, m := range ir.Messages {
-		roles = append(roles, m.Role)
-	}
-	want := []string{"system", "user", "assistant", "tool", "user"}
-	if strings.Join(roles, ",") != strings.Join(want, ",") {
-		t.Fatalf("roles = %v, want %v", roles, want)
-	}
-	if ir.Messages[2].ToolCalls[0].Function.Name != "get_weather" {
-		t.Errorf("tool_use 未映射: %+v", ir.Messages[2])
-	}
-	if ir.Messages[3].ToolCallID != "t1" || ir.Messages[3].Content.JoinText() != "晴 25 度" {
-		t.Errorf("tool_result 未拆为 tool 消息: %+v", ir.Messages[3])
-	}
-	if ir.MaxTokens == nil || *ir.MaxTokens != 128 || len(ir.Tools) != 1 {
-		t.Errorf("max_tokens/tools 未直通")
-	}
-	if string(ir.ToolChoice) != `"required"` {
-		t.Errorf("tool_choice any → %s, want required", ir.ToolChoice)
-	}
-	// image 块拒绝
-	bad := mustAnthReq(t, `{"model":"m","max_tokens":1,"messages":[{"role":"user","content":[{"type":"image","source":{}}]}]}`)
-	if _, err := AnthropicToIR(bad); err == nil {
-		t.Error("image 块应被拒绝")
-	}
-}
-
-func TestIRRespToAnthropic(t *testing.T) {
-	resp := &aiwire.ChatResponse{
-		Model: "m1",
-		Choices: []aiwire.Choice{{
-			Message: aiwire.ChatMessage{
-				Role:    "assistant",
-				Content: aiwire.NewTextContent("查到了"),
-				ToolCalls: []aiwire.ToolCall{{ID: "t1", Type: "function",
-					Function: aiwire.FunctionCall{Name: "get_weather", Arguments: `{"city":"东京"}`}}},
-			},
-			FinishReason: "tool_calls",
-		}},
-		Usage: &aiwire.Usage{PromptTokens: 10, CompletionTokens: 5},
-	}
-	out := IRRespToAnthropic(resp, "msg_1")
-	if len(out.Content) != 2 || out.Content[0].Type != "text" || out.Content[1].Type != "tool_use" {
-		t.Fatalf("content 块 = %+v", out.Content)
-	}
-	if out.StopReason != "tool_use" || out.Usage.InputTokens != 10 || out.Usage.OutputTokens != 5 {
-		t.Errorf("stop_reason/usage 未映射: %+v", out)
-	}
-	if string(out.Content[1].Input) != `{"city":"东京"}` {
-		t.Errorf("tool input = %s", out.Content[1].Input)
-	}
-}
-
-// eventTypes 提取事件类型序列便于断言。
-func eventTypes(events []AnthEvent) string {
-	types := make([]string, 0, len(events))
-	for _, e := range events {
-		types = append(types, e.Event)
-	}
-	return strings.Join(types, ",")
-}
-
-func TestAnthStreamTextAndTool(t *testing.T) {
-	st := NewAnthStream("msg_1", "m1")
-	fr := "tool_calls"
-	var events []AnthEvent
-	events = append(events, st.Feed(aiwire.ChatChunk{Choices: []aiwire.ChunkChoice{{Delta: aiwire.Delta{Content: "你"}}}})...)
-	events = append(events, st.Feed(aiwire.ChatChunk{Choices: []aiwire.ChunkChoice{{Delta: aiwire.Delta{Content: "好"}}}})...)
-	events = append(events, st.Feed(aiwire.ChatChunk{Choices: []aiwire.ChunkChoice{{Delta: aiwire.Delta{
-		ToolCalls: []aiwire.ToolCallDelta{{ID: "t1", Function: aiwire.FunctionCallDelta{Name: "get_weather", Arguments: `{"ci`}}},
-	}}}})...)
-	events = append(events, st.Feed(aiwire.ChatChunk{
-		Choices: []aiwire.ChunkChoice{{Delta: aiwire.Delta{ToolCalls: []aiwire.ToolCallDelta{{ID: "t1", Function: aiwire.FunctionCallDelta{Arguments: `ty":"东京"}`}}}}, FinishReason: &fr}},
-		Usage:   &aiwire.Usage{PromptTokens: 8, CompletionTokens: 4},
-	})...)
-	events = append(events, st.Finish()...)
-
-	got := eventTypes(events)
-	want := "message_start,content_block_start,content_block_delta,content_block_delta," +
-		"content_block_stop,content_block_start,content_block_delta,content_block_delta," +
-		"content_block_stop,message_delta,message_stop"
-	if got != want {
-		t.Fatalf("事件序列:\n got %s\nwant %s", got, want)
-	}
-	if st.Usage().OutputTokens != 4 {
-		t.Errorf("usage 未聚合: %+v", st.Usage())
-	}
-}
-
-func TestAnthStreamEmpty(t *testing.T) {
-	st := NewAnthStream("msg_1", "m1")
-	events := st.Finish()
-	if got := eventTypes(events); got != "message_start,message_delta,message_stop" {
-		t.Errorf("空流事件序列 = %s", got)
-	}
-}
@@ -5,6 +5,7 @@ import (
 	"crypto/rand"
 	"crypto/sha256"
 	"encoding/hex"
+	"encoding/json"
 	"errors"
 	"fmt"
 	"log"
@@ -79,7 +80,7 @@ func (s *AiGatewayService) fireChannelsChanged(ctx context.Context) {

 // CreateKey 生成网关密钥并返回明文(仅此一次);customValue 非空时使用给定值,
 // group 非空时该密钥只在同分组渠道内路由。
-func (s *AiGatewayService) CreateKey(ctx context.Context, name, customValue, group string) (string, *model.AiKey, error) {
+func (s *AiGatewayService) CreateKey(ctx context.Context, name, customValue, group string, models []string) (string, *model.AiKey, error) {
 	name = strings.TrimSpace(name)
 	if name == "" {
 		return "", nil, fmt.Errorf("密钥名称不能为空")
@@ -95,13 +96,28 @@ func (s *AiGatewayService) CreateKey(ctx context.Context, name, customValue, gro
 	if len(raw) < 8 {
 		return "", nil, fmt.Errorf("自定义密钥至少 8 个字符")
 	}
-	key := &model.AiKey{Name: name, KeyHash: hashKey(raw), Tail: raw[len(raw)-4:], Group: strings.TrimSpace(group), Enabled: true}
+	key := &model.AiKey{Name: name, KeyHash: hashKey(raw), Tail: raw[len(raw)-4:], Group: strings.TrimSpace(group), Models: normalizeKeyModels(models), Enabled: true}
 	if err := s.db.WithContext(ctx).Create(key).Error; err != nil {
 		return "", nil, fmt.Errorf("密钥名称或取值与现有密钥重复")
 	}
 	return raw, key, nil
 }

+// normalizeKeyModels 规范化模型白名单:trim、剔空串、保序去重;结果为空返回 nil(= 不限)。
+func normalizeKeyModels(models []string) []string {
+	var out []string
+	seen := map[string]bool{}
+	for _, m := range models {
+		m = strings.TrimSpace(m)
+		if m == "" || seen[m] {
+			continue
+		}
+		seen[m] = true
+		out = append(out, m)
+	}
+	return out
+}
+
 func hashKey(raw string) string {
 	sum := sha256.Sum256([]byte(raw))
 	return hex.EncodeToString(sum[:])
@@ -114,8 +130,8 @@ func (s *AiGatewayService) Keys(ctx context.Context) ([]model.AiKey, error) {
 	return keys, err
 }

-// UpdateKey 修改密钥名称 / 启用状态 / 分组(group 指针非空即覆盖,可置空)。
-func (s *AiGatewayService) UpdateKey(ctx context.Context, id uint, name string, enabled *bool, group *string) error {
+// UpdateKey 修改密钥名称 / 启用状态 / 分组 / 模型白名单(指针非空即覆盖,可置空)。
+func (s *AiGatewayService) UpdateKey(ctx context.Context, id uint, name string, enabled *bool, group *string, models *[]string) error {
 	updates := map[string]any{}
 	if name = strings.TrimSpace(name); name != "" {
 		updates["name"] = name
@@ -126,6 +142,14 @@ func (s *AiGatewayService) UpdateKey(ctx context.Context, id uint, name string,
 	if group != nil {
 		updates["key_group"] = strings.TrimSpace(*group)
 	}
+	if models != nil {
+		// 手动序列化走 map 更新,不依赖 GORM map 路径对 serializer 的支持
+		b, err := json.Marshal(normalizeKeyModels(*models))
+		if err != nil {
+			return fmt.Errorf("serialize models: %w", err)
+		}
+		updates["models"] = string(b)
+	}
 	if len(updates) == 0 {
 		return nil
 	}
@@ -290,12 +314,17 @@ func (s *AiGatewayService) ProbeChannel(ctx context.Context, id uint) (*model.Ai
 	return &fresh, nil
 }

-// probe 执行探测并返回 (状态, 错误摘要);同时完成模型缓存同步。
+// probe 执行探测并返回 (状态, 错误摘要);同时完成模型缓存同步(黑名单模型不入库)。
 func (s *AiGatewayService) probe(ctx context.Context, cred oci.Credentials, ch *model.AiChannel) (string, string) {
 	models, err := s.client.ListGenAiModels(ctx, cred, ch.Region)
 	if err != nil {
 		return classifyProbeErr(err), truncateErr(oci.CompactError(err))
 	}
+	models = supportedGatewayModels(models)
+	models, err = s.withoutBlacklisted(ctx, models)
+	if err != nil {
+		return "error", truncateErr(err.Error())
+	}
 	if len(models) == 0 {
 		_ = s.replaceModels(ctx, ch.ID, nil)
 		return "no_service", "区域无可用模型(GenAI 服务不可用或未开放)"
@@ -306,40 +335,88 @@ func (s *AiGatewayService) probe(ctx context.Context, cred oci.Credentials, ch *
 	return s.probeChat(ctx, cred, ch, models)
 }

-// probeChat 按偏好挑选至多 3 个模型依次试调:部分模型元数据标 CHAT 但实际
-// 不可对话(如 voice agent),遇 400/5xx 换下一个;401/403/404 属租户级直接定论。
+// probeChat 按候选顺序试调(上限 8):遇「模型不可按需调用」(微调基座 400 / 实体
+// 不存在 404)换下一个候选,错误信息带模型名供用户加入黑名单;401/403 与鉴权类 404
+// 属租户级直接定论 no_quota;其余错误(元数据标 CHAT 但实际不可对话等)累计 3 次止损。
 func (s *AiGatewayService) probeChat(ctx context.Context, cred oci.Credentials, ch *model.AiChannel, models []oci.GenAiModel) (string, string) {
 	status, detail := "error", "无可试调对话模型"
+	errBudget := 3
 	for _, m := range probeCandidates(models) {
 		code, err := s.client.GenAiProbeChat(ctx, cred, ch.Region, m.Ocid, m.Name)
 		switch {
 		case code == 200 || code == 429:
 			return "ok", ""
+		case oci.IsModelUnavailable(err):
+			status, detail = "error", truncateErr(fmt.Sprintf("%s: 不可按需调用,建议加入模型黑名单", m.Name))
 		case code == 401 || code == 403 || code == 404:
 			return "no_quota", truncateErr(oci.CompactError(err))
 		default:
 			status, detail = "error", truncateErr(fmt.Sprintf("%s: %s", m.Name, oci.CompactError(err)))
+			if errBudget--; errBudget == 0 {
+				return status, detail
+			}
 		}
 	}
 	return status, detail
 }

-// probeCandidates 只取对话模型并按可靠度排序取前 3:主流文本模型优先,
-// voice 等非常规形态殿后(embedding / rerank 已被能力筛选排除)。
+// probeCandidateCap 是单次探测的候选上限:放宽到 8 让一次探测有机会越过整批
+// 不可按需调用的坏模型找到可用者;其他错误另有 3 次止损预算。
+const probeCandidateCap = 8
+
+// probeCandidates 只取对话模型,按可靠度排序后跨厂商取候选:主流文本模型优先;
+// voice 等负分形态(元数据标 CHAT 但实际不可对话)直接排除,不浪费试调预算;
+// 每厂商先取最高分再按分数补位——部分区域某厂商全为微调基座(调用必失败),
+// 不能让单一厂商占满候选名额拖垮整个渠道的探测结论。
 func probeCandidates(models []oci.GenAiModel) []oci.GenAiModel {
 	var sorted []oci.GenAiModel
 	for _, m := range models {
-		if m.Capability == "" || m.Capability == "CHAT" {
+		if (m.Capability == "" || m.Capability == "CHAT") && probeScore(m.Name) >= 0 {
 			sorted = append(sorted, m)
 		}
 	}
 	sort.SliceStable(sorted, func(i, j int) bool {
 		return probeScore(sorted[i].Name) > probeScore(sorted[j].Name)
 	})
-	if len(sorted) > 3 {
-		sorted = sorted[:3]
+	return diversifyByVendor(sorted, probeCandidateCap)
+}
+
+// diversifyByVendor 从已排序列表先每厂商各取一个,不足 limit 再按原序补位。
+func diversifyByVendor(sorted []oci.GenAiModel, limit int) []oci.GenAiModel {
+	picked := make([]oci.GenAiModel, 0, limit)
+	used := make(map[int]bool)
+	seenVendor := make(map[string]bool)
+	for i, m := range sorted {
+		if len(picked) >= limit {
+			break
 		}
-	return sorted
+		if v := modelVendor(m); !seenVendor[v] {
+			seenVendor[v] = true
+			used[i] = true
+			picked = append(picked, m)
+		}
+	}
+	for i, m := range sorted {
+		if len(picked) >= limit {
+			break
+		}
+		if !used[i] {
+			picked = append(picked, m)
+		}
+	}
+	return picked
+}
+
+// modelVendor 取厂商标识;OCI 未回填 vendor 时退化为模型名「.」前缀。
+func modelVendor(m oci.GenAiModel) string {
+	if m.Vendor != "" {
+		return strings.ToLower(m.Vendor)
+	}
+	name := strings.ToLower(m.Name)
+	if i := strings.Index(name, "."); i > 0 {
+		return name[:i]
+	}
+	return name
 }

 func probeScore(name string) int {
@@ -377,7 +454,7 @@ func truncateErr(msg string) string {
 	return msg
 }

-// SyncModels 重新拉取渠道区域的模型列表并覆盖缓存。
+// SyncModels 重新拉取渠道区域的模型列表并覆盖缓存,黑名单中的模型不入库。
 func (s *AiGatewayService) SyncModels(ctx context.Context, id uint) ([]model.AiModelCache, error) {
 	var ch model.AiChannel
 	if err := s.db.WithContext(ctx).First(&ch, id).Error; err != nil {
@@ -391,6 +468,10 @@ func (s *AiGatewayService) SyncModels(ctx context.Context, id uint) ([]model.AiM
 	if err != nil {
 		return nil, fmt.Errorf("同步模型失败:%s", oci.CompactError(err))
 	}
+	models = supportedGatewayModels(models)
+	if models, err = s.withoutBlacklisted(ctx, models); err != nil {
+		return nil, err
+	}
 	if err := s.replaceModels(ctx, id, models); err != nil {
 		return nil, err
 	}
@@ -422,7 +503,7 @@ func (s *AiGatewayService) channelModels(ctx context.Context, channelID uint) ([
 	return rows, err
 }

-// GatewayModels 聚合启用渠道的模型(按名称去重),供 /ai/v1/models;
+// GatewayModels 聚合启用渠道的可用模型(按名称去重),供 /ai/v1/models;
 // group 非空时仅聚合该分组渠道(与密钥分组路由口径一致)。
 func (s *AiGatewayService) GatewayModels(ctx context.Context, group string) (aiwire.ModelList, error) {
 	q := s.db.WithContext(ctx).
@@ -502,6 +583,99 @@ func (s *AiGatewayService) ProbeAll(ctx context.Context) (string, error) {
 	return msg, nil
 }

+// ---- 模型黑名单 ----
+
+// Blacklist 列出全部黑名单模型(按名称排序)。
+func (s *AiGatewayService) Blacklist(ctx context.Context) ([]model.AiModelBlacklist, error) {
+	var rows []model.AiModelBlacklist
+	err := s.db.WithContext(ctx).Order("name ASC").Find(&rows).Error
+	return rows, err
+}
+
+// AddBlacklist 把模型名加入黑名单并删除全部渠道缓存中的同名条目;
+// 该模型此后同步 / 探测均被过滤,直到移出黑名单后重新同步。
+func (s *AiGatewayService) AddBlacklist(ctx context.Context, name string) (*model.AiModelBlacklist, error) {
+	name = strings.TrimSpace(name)
+	if name == "" {
+		return nil, fmt.Errorf("模型名不能为空")
+	}
+	row := model.AiModelBlacklist{Name: name}
+	err := s.db.WithContext(ctx).Transaction(func(tx *gorm.DB) error {
+		var n int64
+		if err := tx.Model(&model.AiModelBlacklist{}).Where("name = ?", name).Count(&n).Error; err != nil {
+			return err
+		}
+		if n > 0 {
+			return fmt.Errorf("模型已在黑名单中")
+		}
+		if err := tx.Create(&row).Error; err != nil {
+			return err
+		}
+		return tx.Where("name = ?", name).Delete(&model.AiModelCache{}).Error
+	})
+	if err != nil {
+		return nil, err
+	}
+	return &row, nil
+}
+
+// RemoveBlacklist 把模型移出黑名单;缓存不回填,下次同步 / 探测自然恢复入池。
+func (s *AiGatewayService) RemoveBlacklist(ctx context.Context, id uint) error {
+	res := s.db.WithContext(ctx).Delete(&model.AiModelBlacklist{}, id)
+	if res.Error != nil {
+		return res.Error
+	}
+	if res.RowsAffected == 0 {
+		return fmt.Errorf("黑名单条目不存在")
+	}
+	return nil
+}
+
+// withoutBlacklisted 过滤掉黑名单中的模型,同步与探测入库前统一经此收口。
+// supportedGatewayModels 过滤模型目录:对话模型仅保留实测支持 OpenAI 兼容面的
+// 厂商(xai / meta / openai)——typed chat 面已剔除,google / cohere 对话模型无
+// 上游通路,不入目录(不出现在列表、路由与探测候选);EMBEDDING 模型不受影响。
+func supportedGatewayModels(models []oci.GenAiModel) []oci.GenAiModel {
+	out := make([]oci.GenAiModel, 0, len(models))
+	for _, m := range models {
+		if m.Capability == "CHAT" && !compatChatVendor(m.Name) {
+			continue
+		}
+		out = append(out, m)
+	}
+	return out
+}
+
+func compatChatVendor(model string) bool {
+	for _, prefix := range []string{"xai.", "meta.", "openai."} {
+		if strings.HasPrefix(model, prefix) {
+			return true
+		}
+	}
+	return false
+}
+
+func (s *AiGatewayService) withoutBlacklisted(ctx context.Context, models []oci.GenAiModel) ([]oci.GenAiModel, error) {
+	var names []string
+	if err := s.db.WithContext(ctx).Model(&model.AiModelBlacklist{}).Pluck("name", &names).Error; err != nil {
+		return nil, fmt.Errorf("读取模型黑名单: %w", err)
+	}
+	if len(names) == 0 {
+		return models, nil
+	}
+	banned := make(map[string]bool, len(names))
+	for _, n := range names {
+		banned[n] = true
+	}
+	out := make([]oci.GenAiModel, 0, len(models))
+	for _, m := range models {
+		if !banned[m.Name] {
+			out = append(out, m)
+		}
+	}
+	return out, nil
+}
+
 // ---- 调用日志 ----

 // LogCall 落一条调用日志(仅元数据与用量,永不含请求 / 响应正文),返回落库 ID 供内容日志关联(失败为 0)。
@@ -3,6 +3,7 @@ package service
 import (
 	"context"
 	"errors"
+	"io"
 	"math/rand"
 	"time"

@@ -26,27 +27,31 @@ type aiCandidate struct {
 	modelOcid string
 }

-// Chat 编排非流式调用:选渠道 → 调用 → 可重试错误换渠道(整请求上限 3 次)。
-// group 非空时只在同分组渠道内路由(取自调用密钥)。
-func (s *AiGatewayService) Chat(ctx context.Context, ir aiwire.ChatRequest, group string) (*aiwire.ChatResponse, ChatMeta, error) {
+// RespPassthrough 编排一次非流式直通调用:选渠道(priority→加权随机)→ 调用 →
+// 可重试错误换渠道(整请求上限 3 次)并维护熔断;group 非空时只在同分组渠道内路由。
+// 上游为 OpenAI-compatible /actions/v1/responses(实测可用,无 Oracle 文档合同)。
+func (s *AiGatewayService) RespPassthrough(ctx context.Context, raw []byte, modelName, group string) ([]byte, ChatMeta, error) {
 	meta := ChatMeta{}
 	excluded := map[uint]bool{}
 	var lastErr error
 	for attempt := 0; attempt < 3; attempt++ {
-		cand, err := s.pick(ctx, ir.Model, group, "CHAT", excluded)
+		cand, err := s.pick(ctx, modelName, group, "CHAT", excluded)
 		if err != nil {
 			return nil, meta, firstErr(lastErr, err)
 		}
 		meta.ChannelID, meta.ChannelName = cand.ch.ID, cand.ch.Name
-		resp, err := s.callOnce(ctx, cand, ir)
+		payload, err := s.passthroughOnce(ctx, cand, raw)
 		if err == nil {
 			s.markSuccess(ctx, cand.ch.ID)
-			return resp, meta, nil
+			return payload, meta, nil
 		}
-		if !retryable(err) {
+		retry, penalize := switchable(err)
+		if !retry {
 			return nil, meta, err
 		}
+		if penalize {
 			s.markFailure(ctx, cand.ch.ID)
+		}
 		excluded[cand.ch.ID] = true
 		meta.Retries++
 		lastErr = err
@@ -54,22 +59,22 @@ func (s *AiGatewayService) Chat(ctx context.Context, ir aiwire.ChatRequest, grou
 	return nil, meta, lastErr
 }

-func (s *AiGatewayService) callOnce(ctx context.Context, cand *aiCandidate, ir aiwire.ChatRequest) (*aiwire.ChatResponse, error) {
+func (s *AiGatewayService) passthroughOnce(ctx context.Context, cand *aiCandidate, raw []byte) ([]byte, error) {
 	cred, err := s.configs.credentialsByID(ctx, cand.ch.OciConfigID)
 	if err != nil {
 		return nil, err
 	}
-	return s.client.GenAiChat(ctx, cred, cand.ch.Region, cand.modelOcid, ir)
+	return s.client.GenAiCompatResponses(ctx, cred, cand.ch.Region, raw)
 }

-// OpenStream 编排流式调用:流建立成功后即绑定渠道,建立失败可换渠道重试。
-// group 语义与 Chat 相同。
-func (s *AiGatewayService) OpenStream(ctx context.Context, ir aiwire.ChatRequest, group string) (oci.GenAiStream, ChatMeta, error) {
+// RespPassthroughStream 编排流式直通:流建立成功即绑定渠道,建立失败按 switchable
+// 换渠道重试;建立后的中断不重试、不计熔断(与 OpenStream 语义一致)。
+func (s *AiGatewayService) RespPassthroughStream(ctx context.Context, raw []byte, modelName, group string) (io.ReadCloser, ChatMeta, error) {
 	meta := ChatMeta{}
 	excluded := map[uint]bool{}
 	var lastErr error
 	for attempt := 0; attempt < 3; attempt++ {
-		cand, err := s.pick(ctx, ir.Model, group, "CHAT", excluded)
+		cand, err := s.pick(ctx, modelName, group, "CHAT", excluded)
 		if err != nil {
 			return nil, meta, firstErr(lastErr, err)
 		}
@@ -78,15 +83,18 @@ func (s *AiGatewayService) OpenStream(ctx context.Context, ir aiwire.ChatRequest
 		if err != nil {
 			return nil, meta, err
 		}
-		stream, err := s.client.GenAiChatStream(ctx, cred, cand.ch.Region, cand.modelOcid, ir)
+		stream, err := s.client.GenAiCompatResponsesStream(ctx, cred, cand.ch.Region, raw)
 		if err == nil {
 			s.markSuccess(ctx, cand.ch.ID)
 			return stream, meta, nil
 		}
-		if !retryable(err) {
+		retry, penalize := switchable(err)
+		if !retry {
 			return nil, meta, err
 		}
+		if penalize {
 			s.markFailure(ctx, cand.ch.ID)
+		}
 		excluded[cand.ch.ID] = true
 		meta.Retries++
 		lastErr = err
@@ -102,12 +110,17 @@ func firstErr(lastErr, pickErr error) error {
 	return pickErr
 }

-// retryable 判定是否换渠道重试:429 / 5xx / 网络错误可重试,其余 4xx 直接透传。
-func retryable(err error) bool {
-	if status, ok := oci.ServiceStatus(err); ok {
-		return status == 429 || status >= 500
+// switchable 判断调用失败是否换渠道重试、是否计入熔断:模型级不可用(微调基座
+// 400 / 实体不存在 404)换渠道但不计熔断——这是模型×区域供给问题而非渠道健康
+// 问题,持久解决靠加入模型黑名单;429 / 5xx / 网络错误换渠道并计熔断;其余 4xx 直接透传。
+func switchable(err error) (retry, penalize bool) {
+	if oci.IsModelUnavailable(err) {
+		return true, false
 	}
-	return true
+	if status, ok := oci.ServiceStatus(err); ok {
+		return status == 429 || status >= 500, true
+	}
+	return true, true
 }

 // pick 选出支持该模型的最优渠道:能力匹配 → 启用 → 分组匹配 → 未熔断 → 最小优先级组 → 加权随机。
@@ -221,10 +234,13 @@ func (s *AiGatewayService) Embeddings(ctx context.Context, req aiwire.Embeddings
 			s.markSuccess(ctx, cand.ch.ID)
 			return resp, meta, nil
 		}
-		if !retryable(err) {
+		retry, penalize := switchable(err)
+		if !retry {
 			return nil, meta, err
 		}
+		if penalize {
 			s.markFailure(ctx, cand.ch.ID)
+		}
 		excluded[cand.ch.ID] = true
 		meta.Retries++
 		lastErr = err
@@ -0,0 +1,29 @@
+package service
+
+import (
+	"strings"
+	"testing"
+
+	"oci-portal/internal/oci"
+)
+
+// TestSupportedGatewayModels 断言 CHAT 目录仅保留兼容面厂商,EMBEDDING 不受影响。
+func TestSupportedGatewayModels(t *testing.T) {
+	in := []oci.GenAiModel{
+		{Name: "xai.grok-4.3", Capability: "CHAT"},
+		{Name: "meta.llama-4-maverick-17b-128e", Capability: "CHAT"},
+		{Name: "openai.gpt-oss-120b", Capability: "CHAT"},
+		{Name: "google.gemini-2.5-flash", Capability: "CHAT"},
+		{Name: "cohere.command-a-03-2025", Capability: "CHAT"},
+		{Name: "cohere.embed-v4.0", Capability: "EMBEDDING"},
+	}
+	out := supportedGatewayModels(in)
+	names := make([]string, 0, len(out))
+	for _, m := range out {
+		names = append(names, m.Name)
+	}
+	want := "xai.grok-4.3,meta.llama-4-maverick-17b-128e,openai.gpt-oss-120b,cohere.embed-v4.0"
+	if got := strings.Join(names, ","); got != want {
+		t.Fatalf("过滤结果 = %s, want %s", got, want)
+	}
+}
@@ -1,8 +1,11 @@
 package service

 import (
+	"bytes"
 	"context"
 	"errors"
+	"fmt"
+	"io"
 	"strings"
 	"testing"
 	"time"
@@ -13,14 +16,28 @@ import (
 )

 // stubServiceError 实现 common.ServiceError,用于模拟带状态码的 OCI 服务端错误。
-type stubServiceError struct{ status int }
+type stubServiceError struct {
+	status int
+	msg    string
+}

 func (e stubServiceError) Error() string          { return "stub service error" }
 func (e stubServiceError) GetHTTPStatusCode() int { return e.status }
-func (e stubServiceError) GetMessage() string      { return "stub" }
+func (e stubServiceError) GetMessage() string {
+	if e.msg != "" {
+		return e.msg
+	}
+	return "stub"
+}
 func (e stubServiceError) GetCode() string         { return "Stub" }
 func (e stubServiceError) GetOpcRequestID() string { return "req-1" }

+// finetuneBaseErr 模拟「微调基座模型不可按需调用」的 OCI 400。
+func finetuneBaseErr() stubServiceError {
+	return stubServiceError{status: 400,
+		msg: "Not allowed to call finetune base model ocid1.generativeaimodel.oc1.eu-frankfurt-1.tpel5q, use Endpoint: false"}
+}
+
 // gatewayStubClient 覆写 GenAI 四方法;chatErrs 逐次弹出以模拟先失败后成功。
 type gatewayStubClient struct {
 	*fakeClient
@@ -29,14 +46,47 @@ type gatewayStubClient struct {
 	modelsErr error
 	probeCode int
 	probeErr  error
-	chatResp  *aiwire.ChatResponse
-	chatErrs  []error
+	// probeSeq 非空时逐次弹出,模拟按候选依次试调;弹尽后回落 probeCode/probeErr
+	probeSeq []probeResult
+	// probedNames 记录试调过的模型名,供断言候选过滤
+	probedNames []string
 	chatCalls   int
 	regions     []string

 	embedVecs  [][]float32
 	embedUsage *aiwire.Usage
 	embedErr   error
+
+	passPayload []byte
+	passErrs    []error
+	passCalls   int
+	passRegions []string
+}
+
+func (f *gatewayStubClient) GenAiCompatResponses(ctx context.Context, cred oci.Credentials, region string, body []byte) ([]byte, error) {
+	f.passCalls++
+	f.passRegions = append(f.passRegions, region)
+	if len(f.passErrs) > 0 {
+		err := f.passErrs[0]
+		f.passErrs = f.passErrs[1:]
+		if err != nil {
+			return nil, err
+		}
+	}
+	return f.passPayload, nil
+}
+
+func (f *gatewayStubClient) GenAiCompatResponsesStream(ctx context.Context, cred oci.Credentials, region string, body []byte) (io.ReadCloser, error) {
+	f.passCalls++
+	f.passRegions = append(f.passRegions, region)
+	if len(f.passErrs) > 0 {
+		err := f.passErrs[0]
+		f.passErrs = f.passErrs[1:]
+		if err != nil {
+			return nil, err
+		}
+	}
+	return io.NopCloser(bytes.NewReader(f.passPayload)), nil
 }

 func (f *gatewayStubClient) GenAiEmbed(ctx context.Context, cred oci.Credentials, region, modelOcid string, inputs []string, dimensions *int) ([][]float32, *aiwire.Usage, error) {
@@ -47,27 +97,26 @@ func (f *gatewayStubClient) ListGenAiModels(ctx context.Context, cred oci.Creden
 	return f.models, f.modelsErr
 }

-func (f *gatewayStubClient) GenAiProbeChat(ctx context.Context, cred oci.Credentials, region, modelOcid, modelName string) (int, error) {
-	return f.probeCode, f.probeErr
+// probeResult 是 gatewayStubClient.probeSeq 的单次探测结果。
+type probeResult struct {
+	code int
+	err  error
 }

-func (f *gatewayStubClient) GenAiChat(ctx context.Context, cred oci.Credentials, region, modelOcid string, ir aiwire.ChatRequest) (*aiwire.ChatResponse, error) {
-	f.chatCalls++
-	f.regions = append(f.regions, region)
-	if len(f.chatErrs) > 0 {
-		err := f.chatErrs[0]
-		f.chatErrs = f.chatErrs[1:]
-		if err != nil {
-			return nil, err
+func (f *gatewayStubClient) GenAiProbeChat(ctx context.Context, cred oci.Credentials, region, modelOcid, modelName string) (int, error) {
+	f.probedNames = append(f.probedNames, modelName)
+	if len(f.probeSeq) > 0 {
+		r := f.probeSeq[0]
+		f.probeSeq = f.probeSeq[1:]
+		return r.code, r.err
 	}
-	}
-	return f.chatResp, nil
+	return f.probeCode, f.probeErr
 }

 func newTestGateway(t *testing.T, client oci.Client) (*AiGatewayService, *OciConfigService) {
 	t.Helper()
 	svc := newTestService(t, client)
-	if err := svc.db.AutoMigrate(&model.AiKey{}, &model.AiChannel{}, &model.AiModelCache{}, &model.AiCallLog{}); err != nil {
+	if err := svc.db.AutoMigrate(&model.AiKey{}, &model.AiChannel{}, &model.AiModelCache{}, &model.AiModelBlacklist{}, &model.AiCallLog{}); err != nil {
 		t.Fatalf("auto migrate ai tables: %v", err)
 	}
 	return NewAiGatewayService(svc.db, svc, client), svc
@@ -77,14 +126,14 @@ func TestAiKeyLifecycle(t *testing.T) {
 	gw, _ := newTestGateway(t, &gatewayStubClient{fakeClient: &fakeClient{tenancy: oci.TenancyInfo{Name: "t"}}})
 	ctx := context.Background()

-	raw, key, err := gw.CreateKey(ctx, "免费-ai-api-key", "test-api-key", "")
+	raw, key, err := gw.CreateKey(ctx, "免费-ai-api-key", "test-api-key", "", nil)
 	if err != nil || raw != "test-api-key" || key.Tail != "-key" {
 		t.Fatalf("CreateKey 自定义值 = %q %+v, %v", raw, key, err)
 	}
-	if _, _, err := gw.CreateKey(ctx, "short", "abc", ""); err == nil {
+	if _, _, err := gw.CreateKey(ctx, "short", "abc", "", nil); err == nil {
 		t.Error("过短自定义密钥应被拒绝")
 	}
-	auto, _, err := gw.CreateKey(ctx, "auto", "", "")
+	auto, _, err := gw.CreateKey(ctx, "auto", "", "", nil)
 	if err != nil || len(auto) < 40 || auto[:3] != "sk-" {
 		t.Fatalf("CreateKey 随机值 = %q, %v", auto, err)
 	}
@@ -96,7 +145,7 @@ func TestAiKeyLifecycle(t *testing.T) {
 		t.Errorf("错误密钥 err = %v", err)
 	}
 	off := false
-	_ = gw.UpdateKey(ctx, key.ID, "", &off, nil)
+	_ = gw.UpdateKey(ctx, key.ID, "", &off, nil, nil)
 	if _, err := gw.VerifyKey(ctx, "test-api-key"); !errors.Is(err, ErrAiKeyInvalid) {
 		t.Errorf("禁用后 VerifyKey err = %v", err)
 	}
@@ -159,51 +208,6 @@ func seedChannel(t *testing.T, gw *AiGatewayService, cfgID uint, region string,
 	return ch
 }

-func TestAiChatRetrySwitchesChannel(t *testing.T) {
-	client := &gatewayStubClient{
-		fakeClient: &fakeClient{tenancy: oci.TenancyInfo{Name: "t"}},
-		chatResp:   &aiwire.ChatResponse{Model: "meta.llama-3.3-70b-instruct", Choices: []aiwire.Choice{{Message: aiwire.ChatMessage{Role: "assistant", Content: aiwire.NewTextContent("hi")}, FinishReason: "stop"}}},
-		chatErrs:   []error{stubServiceError{status: 429}},
-	}
-	gw, svc := newTestGateway(t, client)
-	cfg := importAliveConfig(t, svc)
-	// 两个同优先级渠道
-	seedChannel(t, gw, cfg.ID, "eu-frankfurt-1", 1, 1)
-	seedChannel(t, gw, cfg.ID, "us-chicago-1", 1, 1)
-	ctx := context.Background()
-
-	resp, meta, err := gw.Chat(ctx, aiwire.ChatRequest{Model: "meta.llama-3.3-70b-instruct", Messages: []aiwire.ChatMessage{{Role: "user", Content: aiwire.NewTextContent("你好")}}}, "")
-	if err != nil || resp == nil {
-		t.Fatalf("Chat = %v, %v", resp, err)
-	}
-	if meta.Retries != 1 || client.chatCalls != 2 {
-		t.Errorf("应换渠道重试一次: retries=%d calls=%d", meta.Retries, client.chatCalls)
-	}
-	if len(client.regions) != 2 && client.regions[0] == client.regions[1] {
-		t.Errorf("重试未换渠道: %v", client.regions)
-	}
-	// 未知模型
-	if _, _, err := gw.Chat(ctx, aiwire.ChatRequest{Model: "no-such-model"}, ""); !errors.Is(err, ErrAiUnknownModel) {
-		t.Errorf("未知模型 err = %v", err)
-	}
-}
-
-func TestAiChatNonRetryablePassThrough(t *testing.T) {
-	client := &gatewayStubClient{
-		fakeClient: &fakeClient{tenancy: oci.TenancyInfo{Name: "t"}},
-		chatErrs:   []error{stubServiceError{status: 400}},
-	}
-	gw, svc := newTestGateway(t, client)
-	cfg := importAliveConfig(t, svc)
-	seedChannel(t, gw, cfg.ID, "eu-frankfurt-1", 1, 1)
-	seedChannel(t, gw, cfg.ID, "us-chicago-1", 1, 1)
-
-	_, meta, err := gw.Chat(context.Background(), aiwire.ChatRequest{Model: "meta.llama-3.3-70b-instruct"}, "")
-	if err == nil || meta.Retries != 0 || client.chatCalls != 1 {
-		t.Errorf("400 应直接透传不重试: err=%v retries=%d calls=%d", err, meta.Retries, client.chatCalls)
-	}
-}
-
 func TestPickPriorityAndBreaker(t *testing.T) {
 	gw, svc := newTestGateway(t, &gatewayStubClient{fakeClient: &fakeClient{tenancy: oci.TenancyInfo{Name: "t"}}})
 	cfg := importAliveConfig(t, svc)
@@ -255,7 +259,7 @@ func TestMarkFailureBackoff(t *testing.T) {
 func TestAiGroupRouting(t *testing.T) {
 	client := &gatewayStubClient{
 		fakeClient:  &fakeClient{tenancy: oci.TenancyInfo{Name: "t"}},
-		chatResp:   &aiwire.ChatResponse{Model: "meta.llama-3.3-70b-instruct", Choices: []aiwire.Choice{{Message: aiwire.ChatMessage{Role: "assistant", Content: aiwire.NewTextContent("hi")}, FinishReason: "stop"}}},
+		passPayload: []byte(`{"id":"resp_1","usage":{"input_tokens":3,"output_tokens":1}}`),
 	}
 	gw, svc := newTestGateway(t, client)
 	cfg := importAliveConfig(t, svc)
@@ -264,17 +268,17 @@ func TestAiGroupRouting(t *testing.T) {
 	gw.db.Model(vip).Update("channel_group", "vip")
 	gw.db.Create(&model.AiModelCache{ChannelID: other.ID, ModelOcid: "ocid1..cr", Name: "cohere.command-r", Vendor: "cohere", SyncedAt: time.Now()})
 	ctx := context.Background()
-	req := aiwire.ChatRequest{Model: "meta.llama-3.3-70b-instruct", Messages: []aiwire.ChatMessage{{Role: "user", Content: aiwire.NewTextContent("你好")}}}
+	body := []byte(`{"model":"meta.llama-3.3-70b-instruct","input":"你好"}`)

 	// 分组密钥只落同分组渠道
 	for i := 0; i < 5; i++ {
-		_, meta, err := gw.Chat(ctx, req, "vip")
+		_, meta, err := gw.RespPassthrough(ctx, body, "meta.llama-3.3-70b-instruct", "vip")
 		if err != nil || meta.ChannelID != vip.ID {
 			t.Fatalf("vip 组第 %d 次落点 = %d, err %v, want %d", i, meta.ChannelID, err, vip.ID)
 		}
 	}
 	// 分组内无渠道 → 无可用渠道
-	if _, _, err := gw.Chat(ctx, req, "nope"); !errors.Is(err, ErrAiNoChannel) {
+	if _, _, err := gw.RespPassthrough(ctx, body, "meta.llama-3.3-70b-instruct", "nope"); !errors.Is(err, ErrAiNoChannel) {
 		t.Errorf("空分组 err = %v, want ErrAiNoChannel", err)
 	}
 	// 模型列表按分组过滤
@@ -287,12 +291,12 @@ func TestAiGroupRouting(t *testing.T) {
 		t.Errorf("不限组模型数 = %d, want 2", len(all.Data))
 	}
 	// 密钥分组落库
-	_, key, err := gw.CreateKey(ctx, "vip-key", "vip-secret-1234", "vip")
+	_, key, err := gw.CreateKey(ctx, "vip-key", "vip-secret-1234", "vip", nil)
 	if err != nil || key.Group != "vip" {
 		t.Fatalf("CreateKey group = %+v, %v", key, err)
 	}
 	empty := ""
-	_ = gw.UpdateKey(ctx, key.ID, "", nil, &empty)
+	_ = gw.UpdateKey(ctx, key.ID, "", nil, &empty, nil)
 	var fresh model.AiKey
 	gw.db.First(&fresh, key.ID)
 	if fresh.Group != "" {
@@ -400,6 +404,218 @@ func TestProbeCandidates(t *testing.T) {
 	}
 }

+func TestProbeCandidatesVendorDiversity(t *testing.T) {
+	// 部分区域单一厂商全为微调基座:候选须跨厂商分散,不能被 3 个 llama 占满前排
+	models := []oci.GenAiModel{
+		{Ocid: "l1", Name: "meta.llama-3-70b-instruct"},
+		{Ocid: "l2", Name: "meta.llama-3.1-405b-instruct"},
+		{Ocid: "l3", Name: "meta.llama-3.3-70b-instruct"},
+		{Ocid: "c1", Name: "cohere.command-a-03-2025"},
+		{Ocid: "g1", Name: "xai.grok-4"},
+	}
+	got := probeCandidates(models)
+	if len(got) != 5 || got[0].Name != "meta.llama-3-70b-instruct" {
+		t.Fatalf("上限内全量返回且最高分居首: %+v", got)
+	}
+	vendors := map[string]bool{}
+	for _, m := range got[:3] {
+		vendors[modelVendor(m)] = true
+	}
+	if len(vendors) != 3 {
+		t.Errorf("前 3 个候选应覆盖 3 个厂商: %+v", got)
+	}
+	// 超过上限时截断到 probeCandidateCap
+	var many []oci.GenAiModel
+	for i := 0; i < 12; i++ {
+		many = append(many, oci.GenAiModel{Ocid: fmt.Sprintf("m%d", i), Name: fmt.Sprintf("meta.llama-%d", i)})
+	}
+	if capped := probeCandidates(many); len(capped) != probeCandidateCap {
+		t.Errorf("候选应截断到 %d: got %d", probeCandidateCap, len(capped))
+	}
+}
+
+// entityNotFoundErr 模拟「实体不存在」404(模型在区域内无按需供给)。
+func entityNotFoundErr() stubServiceError {
+	return stubServiceError{status: 404,
+		msg: "Entity with key ocid1.generativeaimodel.oc1.eu-frankfurt-1.2flsfq not found"}
+}
+
+func TestProbeSkipsUnavailableModels(t *testing.T) {
+	// 首选 llama 不可按需调用(基座 400 / 实体 404)→ 换候选成功 → 渠道判可用;
+	// 模型全量入库不再自动标记,持久剔除交由用户手动拉黑
+	tests := []struct {
+		name string
+		bad  probeResult
+	}{
+		{"微调基座 400", probeResult{400, finetuneBaseErr()}},
+		{"实体不存在 404", probeResult{404, entityNotFoundErr()}},
+	}
+	for _, tt := range tests {
+		t.Run(tt.name, func(t *testing.T) {
+			client := &gatewayStubClient{
+				fakeClient: &fakeClient{tenancy: oci.TenancyInfo{Name: "t"}},
+				models: []oci.GenAiModel{
+					{Ocid: "m1", Name: "meta.llama-3-70b-instruct", Vendor: "meta"},
+					{Ocid: "m2", Name: "meta.llama-3.1-70b-instruct", Vendor: "meta"},
+					{Ocid: "m3", Name: "cohere.command-a-03-2025", Vendor: "cohere"},
+				},
+				probeSeq: []probeResult{tt.bad, {200, nil}},
+			}
+			gw, svc := newTestGateway(t, client)
+			cfg := importAliveConfig(t, svc)
+			ctx := context.Background()
+
+			ch, err := gw.CreateChannel(ctx, ChannelInput{OciConfigID: cfg.ID, Region: "eu-frankfurt-1"})
+			if err != nil {
+				t.Fatalf("CreateChannel: %v", err)
+			}
+			probed, err := gw.ProbeChannel(ctx, ch.ID)
+			if err != nil || probed.ProbeStatus != "ok" {
+				t.Fatalf("坏候选后应换候选并判可用: %+v, %v", probed, err)
+			}
+			rows, _ := gw.channelModels(ctx, ch.ID)
+			if len(rows) != 3 {
+				t.Errorf("模型应全量入库, got %d", len(rows))
+			}
+		})
+	}
+}
+
+func TestProbeAuth404StillNoQuota(t *testing.T) {
+	// 鉴权类 404(NotAuthorizedOrNotFound)仍属租户级,直接定论 no_quota
+	client := &gatewayStubClient{
+		fakeClient: &fakeClient{tenancy: oci.TenancyInfo{Name: "t"}},
+		models:     []oci.GenAiModel{{Ocid: "m1", Name: "meta.llama-3.3-70b-instruct", Vendor: "meta"}},
+		probeCode:  404,
+		probeErr:   stubServiceError{status: 404, msg: "Authorization failed or requested resource not found."},
+	}
+	gw, svc := newTestGateway(t, client)
+	cfg := importAliveConfig(t, svc)
+	ctx := context.Background()
+
+	ch, _ := gw.CreateChannel(ctx, ChannelInput{OciConfigID: cfg.ID, Region: "eu-frankfurt-1"})
+	probed, _ := gw.ProbeChannel(ctx, ch.ID)
+	if probed.ProbeStatus != "no_quota" {
+		t.Errorf("鉴权 404 status = %q, want no_quota", probed.ProbeStatus)
+	}
+}
+
+func TestAiChatFinetuneSwitchesChannelWithoutPenalty(t *testing.T) {
+	// 微调基座 400 换渠道重试成功,且不计入熔断失败
+	client := &gatewayStubClient{
+		fakeClient:  &fakeClient{tenancy: oci.TenancyInfo{Name: "t"}},
+		passPayload: []byte(`{"id":"resp_1","usage":{"input_tokens":3,"output_tokens":1}}`),
+		passErrs:    []error{finetuneBaseErr()},
+	}
+	gw, svc := newTestGateway(t, client)
+	cfg := importAliveConfig(t, svc)
+	seedChannel(t, gw, cfg.ID, "eu-frankfurt-1", 1, 1)
+	seedChannel(t, gw, cfg.ID, "us-chicago-1", 1, 1)
+
+	resp, meta, err := gw.RespPassthrough(context.Background(), []byte(`{}`), "meta.llama-3.3-70b-instruct", "")
+	if err != nil || resp == nil {
+		t.Fatalf("RespPassthrough = %v, %v", resp, err)
+	}
+	if meta.Retries != 1 || client.passCalls != 2 {
+		t.Errorf("应换渠道重试一次: retries=%d calls=%d", meta.Retries, client.passCalls)
+	}
+	var chs []model.AiChannel
+	gw.db.Find(&chs)
+	for _, ch := range chs {
+		if ch.FailCount != 0 {
+			t.Errorf("微调基座 400 不应计入熔断: 渠道 %s failCount=%d", ch.Name, ch.FailCount)
+		}
+	}
+}
+
+func TestBlacklistLifecycle(t *testing.T) {
+	// 拉黑:全渠道同名缓存删除、列表与路由立即不可见;重复/空名被拒;
+	// 移出黑名单后重新同步恢复入池
+	client := &gatewayStubClient{
+		fakeClient: &fakeClient{tenancy: oci.TenancyInfo{Name: "t"}},
+		models:     []oci.GenAiModel{{Ocid: "ocid1..m-eu-frankfurt-1", Name: "meta.llama-3.3-70b-instruct", Vendor: "meta"}},
+	}
+	gw, svc := newTestGateway(t, client)
+	cfg := importAliveConfig(t, svc)
+	ch := seedChannel(t, gw, cfg.ID, "eu-frankfurt-1", 1, 1)
+	seedChannel(t, gw, cfg.ID, "us-chicago-1", 1, 1)
+	ctx := context.Background()
+
+	item, err := gw.AddBlacklist(ctx, " meta.llama-3.3-70b-instruct ")
+	if err != nil || item.Name != "meta.llama-3.3-70b-instruct" {
+		t.Fatalf("AddBlacklist = %+v, %v", item, err)
+	}
+	var left int64
+	gw.db.Model(&model.AiModelCache{}).Count(&left)
+	if left != 0 {
+		t.Errorf("拉黑应删除全部渠道的同名缓存, 剩 %d", left)
+	}
+	if _, _, err := gw.RespPassthrough(ctx, []byte(`{}`), "meta.llama-3.3-70b-instruct", ""); !errors.Is(err, ErrAiUnknownModel) {
+		t.Errorf("拉黑后路由应按未知模型拒绝: %v", err)
+	}
+	if _, err := gw.AddBlacklist(ctx, "meta.llama-3.3-70b-instruct"); err == nil {
+		t.Error("重复拉黑应被拒绝")
+	}
+	if _, err := gw.AddBlacklist(ctx, "  "); err == nil {
+		t.Error("空模型名应被拒绝")
+	}
+	rows, err := gw.Blacklist(ctx)
+	if err != nil || len(rows) != 1 {
+		t.Fatalf("Blacklist = %+v, %v", rows, err)
+	}
+	if err := gw.RemoveBlacklist(ctx, rows[0].ID); err != nil {
+		t.Fatalf("RemoveBlacklist: %v", err)
+	}
+	if err := gw.RemoveBlacklist(ctx, rows[0].ID); err == nil {
+		t.Error("移除不存在的条目应报错")
+	}
+	// 移出后重新同步:模型恢复入池
+	if _, err := gw.SyncModels(ctx, ch.ID); err != nil {
+		t.Fatalf("SyncModels: %v", err)
+	}
+	list, _ := gw.GatewayModels(ctx, "")
+	if len(list.Data) != 1 {
+		t.Errorf("移出黑名单并同步后应恢复入池: %+v", list.Data)
+	}
+}
+
+func TestSyncAndProbeFilterBlacklisted(t *testing.T) {
+	// 同步与探测都过滤黑名单模型:不入库、不进试调候选
+	client := &gatewayStubClient{
+		fakeClient: &fakeClient{tenancy: oci.TenancyInfo{Name: "t"}},
+		models: []oci.GenAiModel{
+			{Ocid: "m1", Name: "meta.llama-3-70b-instruct", Vendor: "meta"},
+			{Ocid: "m2", Name: "cohere.command-a-03-2025", Vendor: "cohere"},
+		},
+		probeCode: 200,
+	}
+	gw, svc := newTestGateway(t, client)
+	cfg := importAliveConfig(t, svc)
+	ctx := context.Background()
+	if _, err := gw.AddBlacklist(ctx, "meta.llama-3-70b-instruct"); err != nil {
+		t.Fatalf("AddBlacklist: %v", err)
+	}
+	ch, err := gw.CreateChannel(ctx, ChannelInput{OciConfigID: cfg.ID, Region: "eu-frankfurt-1"})
+	if err != nil {
+		t.Fatalf("CreateChannel: %v", err)
+	}
+	probed, err := gw.ProbeChannel(ctx, ch.ID)
+	if err != nil || probed.ProbeStatus != "ok" {
+		t.Fatalf("ProbeChannel = %+v, %v", probed, err)
+	}
+	rows, _ := gw.channelModels(ctx, ch.ID)
+	if len(rows) != 1 || rows[0].Name != "cohere.command-a-03-2025" {
+		t.Errorf("探测同步应过滤黑名单模型: %+v", rows)
+	}
+	if len(client.probedNames) != 1 || client.probedNames[0] != "cohere.command-a-03-2025" {
+		t.Errorf("试调候选不应包含黑名单模型: %v", client.probedNames)
+	}
+	models, err := gw.SyncModels(ctx, ch.ID)
+	if err != nil || len(models) != 1 || models[0].Name != "cohere.command-a-03-2025" {
+		t.Errorf("SyncModels 应过滤黑名单模型: %+v, %v", models, err)
+	}
+}
+
 func TestDeprecatingModels(t *testing.T) {
 	gw, _ := newTestGateway(t, &gatewayStubClient{fakeClient: &fakeClient{tenancy: oci.TenancyInfo{Name: "t"}}})
 	ctx := context.Background()
@@ -460,7 +676,7 @@ func TestAiEmbeddings(t *testing.T) {
 		t.Errorf("chat 模型走 embeddings err = %v, want ErrAiUnknownModel", err)
 	}
 	// embedding 模型名打 chat:同样未知模型
-	if _, _, err := gw.Chat(ctx, aiwire.ChatRequest{Model: "cohere.embed-v4.0", Messages: []aiwire.ChatMessage{{Role: "user", Content: aiwire.NewTextContent("x")}}}, ""); !errors.Is(err, ErrAiUnknownModel) {
+	if _, _, err := gw.RespPassthrough(ctx, []byte(`{}`), "cohere.embed-v4.0", ""); !errors.Is(err, ErrAiUnknownModel) {
 		t.Errorf("embedding 模型走 chat err = %v, want ErrAiUnknownModel", err)
 	}
 }
@@ -471,7 +687,7 @@ func TestAiContentLogSwitch(t *testing.T) {
 		t.Fatalf("migrate content log: %v", err)
 	}
 	ctx := context.Background()
-	_, key, err := gw.CreateKey(ctx, "k1", "content-key-1234", "")
+	_, key, err := gw.CreateKey(ctx, "k1", "content-key-1234", "", nil)
 	if err != nil {
 		t.Fatalf("CreateKey: %v", err)
 	}
@@ -507,3 +723,131 @@ func TestAiContentLogSwitch(t *testing.T) {
 		t.Fatalf("关闭失败: %+v, %v", fresh.ContentLogUntil, err)
 	}
 }
+
+func TestRespPassthroughSwitchesChannel(t *testing.T) {
+	client := &gatewayStubClient{
+		fakeClient:  &fakeClient{tenancy: oci.TenancyInfo{Name: "t"}},
+		passPayload: []byte(`{"id":"resp_1","usage":{"input_tokens":9,"output_tokens":3}}`),
+		passErrs:    []error{stubServiceError{status: 429}},
+	}
+	gw, svc := newTestGateway(t, client)
+	cfg := importAliveConfig(t, svc)
+	seedChannel(t, gw, cfg.ID, "eu-frankfurt-1", 1, 1)
+	seedChannel(t, gw, cfg.ID, "us-chicago-1", 1, 1)
+
+	payload, meta, err := gw.RespPassthrough(context.Background(), []byte(`{}`), "meta.llama-3.3-70b-instruct", "")
+	if err != nil || len(payload) == 0 {
+		t.Fatalf("RespPassthrough = %v, %v", payload, err)
+	}
+	if meta.Retries != 1 || client.passCalls != 2 {
+		t.Errorf("应换渠道重试一次: retries=%d calls=%d", meta.Retries, client.passCalls)
+	}
+	if len(client.passRegions) == 2 && client.passRegions[0] == client.passRegions[1] {
+		t.Errorf("重试未换渠道: %v", client.passRegions)
+	}
+}
+
+func TestRespPassthroughNonRetryable(t *testing.T) {
+	client := &gatewayStubClient{
+		fakeClient: &fakeClient{tenancy: oci.TenancyInfo{Name: "t"}},
+		passErrs:   []error{stubServiceError{status: 400}},
+	}
+	gw, svc := newTestGateway(t, client)
+	cfg := importAliveConfig(t, svc)
+	seedChannel(t, gw, cfg.ID, "eu-frankfurt-1", 1, 1)
+	seedChannel(t, gw, cfg.ID, "us-chicago-1", 1, 1)
+
+	_, meta, err := gw.RespPassthrough(context.Background(), []byte(`{}`), "meta.llama-3.3-70b-instruct", "")
+	if err == nil || meta.Retries != 0 || client.passCalls != 1 {
+		t.Errorf("400 应直接透传不重试: err=%v retries=%d calls=%d", err, meta.Retries, client.passCalls)
+	}
+}
+
+func TestNormalizeKeyModels(t *testing.T) {
+	tests := []struct {
+		name string
+		in   []string
+		want []string
+	}{
+		{"nil 输入", nil, nil},
+		{"全空串", []string{"", "  "}, nil},
+		{"trim 与保序去重", []string{" a ", "b", "a", "", "b "}, []string{"a", "b"}},
+	}
+	for _, tt := range tests {
+		t.Run(tt.name, func(t *testing.T) {
+			got := normalizeKeyModels(tt.in)
+			if len(got) != len(tt.want) {
+				t.Fatalf("normalizeKeyModels(%v) = %v, want %v", tt.in, got, tt.want)
+			}
+			for i := range tt.want {
+				if got[i] != tt.want[i] {
+					t.Fatalf("normalizeKeyModels(%v) = %v, want %v", tt.in, got, tt.want)
+				}
+			}
+		})
+	}
+}
+
+// TestAiKeyModelsPersistence 钉住 serializer:json 字段经 Create 与 Updates(map) 两条路径的往返。
+func TestAiKeyModelsPersistence(t *testing.T) {
+	gw, _ := newTestGateway(t, &gatewayStubClient{fakeClient: &fakeClient{tenancy: oci.TenancyInfo{Name: "t"}}})
+	ctx := context.Background()
+
+	_, key, err := gw.CreateKey(ctx, "m-key", "model-key-1234", "", []string{" x-model ", "x-model", "y-model", ""})
+	if err != nil {
+		t.Fatalf("CreateKey: %v", err)
+	}
+	fresh, err := gw.VerifyKey(ctx, "model-key-1234")
+	if err != nil || len(fresh.Models) != 2 || fresh.Models[0] != "x-model" || fresh.Models[1] != "y-model" {
+		t.Fatalf("创建后读回 models = %v, %v", fresh.Models, err)
+	}
+	set := []string{"z-model"}
+	if err := gw.UpdateKey(ctx, key.ID, "", nil, nil, &set); err != nil {
+		t.Fatalf("UpdateKey 覆盖: %v", err)
+	}
+	fresh, _ = gw.VerifyKey(ctx, "model-key-1234")
+	if len(fresh.Models) != 1 || fresh.Models[0] != "z-model" {
+		t.Fatalf("覆盖后 models = %v", fresh.Models)
+	}
+	if err := gw.UpdateKey(ctx, key.ID, "renamed", nil, nil, nil); err != nil {
+		t.Fatalf("UpdateKey 不传 models: %v", err)
+	}
+	fresh, _ = gw.VerifyKey(ctx, "model-key-1234")
+	if len(fresh.Models) != 1 {
+		t.Fatalf("未传 models 却被改动: %v", fresh.Models)
+	}
+	empty := []string{}
+	if err := gw.UpdateKey(ctx, key.ID, "", nil, nil, &empty); err != nil {
+		t.Fatalf("UpdateKey 清空: %v", err)
+	}
+	fresh, _ = gw.VerifyKey(ctx, "model-key-1234")
+	if len(fresh.Models) != 0 {
+		t.Fatalf("清空后 models = %v, want 空", fresh.Models)
+	}
+}
+
+// TestRespPassthroughStreamSwitchesChannel 断言流式直通建立失败按 switchable 换渠道。
+func TestRespPassthroughStreamSwitchesChannel(t *testing.T) {
+	client := &gatewayStubClient{
+		fakeClient:  &fakeClient{tenancy: oci.TenancyInfo{Name: "t"}},
+		passPayload: []byte("data: {\"type\":\"response.completed\"}\n\n"),
+		passErrs:    []error{stubServiceError{status: 503}},
+	}
+	gw, svc := newTestGateway(t, client)
+	cfg := importAliveConfig(t, svc)
+	seedChannel(t, gw, cfg.ID, "eu-frankfurt-1", 1, 1)
+	seedChannel(t, gw, cfg.ID, "us-chicago-1", 1, 1)
+
+	stream, meta, err := gw.RespPassthroughStream(context.Background(), []byte(`{}`), "meta.llama-3.3-70b-instruct", "")
+	if err != nil || stream == nil {
+		t.Fatalf("RespPassthroughStream = %v", err)
+	}
+	defer stream.Close()
+	if meta.Retries != 1 || client.passCalls != 2 {
+		t.Errorf("应换渠道重试一次: retries=%d calls=%d", meta.Retries, client.passCalls)
+	}
+	payload, _ := io.ReadAll(stream)
+	if !bytes.Contains(payload, []byte("response.completed")) {
+		t.Errorf("流内容未透传: %s", payload)
+	}
+}
@@ -8,38 +8,8 @@ import (
 	"oci-portal/internal/aiwire"
 )

-// ResponsesToIR 把 Responses API 请求转换为网关 IR(OpenAI Chat 形态)。
-// 有状态特性与内置工具不支持,直接报错(API 层 400)。
-func ResponsesToIR(req aiwire.RespRequest) (aiwire.ChatRequest, error) {
-	if err := respRejectUnsupported(req); err != nil {
-		return aiwire.ChatRequest{}, err
-	}
-	ir := aiwire.ChatRequest{
-		Model:       req.Model,
-		MaxTokens:   req.MaxOutputTokens,
-		Temperature: req.Temperature,
-		TopP:        req.TopP,
-		Stream:      req.Stream,
-		ToolChoice:  respToolChoice(req.ToolChoice),
-	}
-	if req.Reasoning != nil {
-		ir.ReasoningEffort = req.Reasoning.Effort
-	}
-	if req.Instructions != "" {
-		ir.Messages = append(ir.Messages, aiwire.ChatMessage{Role: "system", Content: aiwire.NewTextContent(req.Instructions)})
-	}
-	msgs, err := respInputToMessages(req.Input)
-	if err != nil {
-		return aiwire.ChatRequest{}, err
-	}
-	ir.Messages = append(ir.Messages, msgs...)
-	ir.Tools = respTools(req.Tools)
-	ir.ResponseFormat = respFormat(req.Text)
-	return ir, nil
-}
-
-// respRejectUnsupported 拒绝无状态网关无法承接的请求特性。
-func respRejectUnsupported(req aiwire.RespRequest) error {
+// respRejectStateful 拒绝有状态特性(网关无状态)。
+func respRejectStateful(req aiwire.RespRequest) error {
 	if req.PreviousResponseID != "" {
 		return fmt.Errorf("previous_response_id 不支持:网关不保存历史响应,请在 input 中自带完整上下文(store:false 模式)")
 	}
@@ -49,195 +19,110 @@ func respRejectUnsupported(req aiwire.RespRequest) error {
 	if req.Background != nil && *req.Background {
 		return fmt.Errorf("background 模式不支持")
 	}
-	for _, t := range req.Tools {
-		if t.Type != "function" {
-			return fmt.Errorf("不支持的工具类型 %q:仅支持 function 工具", t.Type)
-		}
-	}
 	return nil
 }

-// respInputToMessages 把 input(string 或 item 数组)展开为 IR 消息序列。
-func respInputToMessages(in aiwire.RespInput) ([]aiwire.ChatMessage, error) {
-	if !in.IsArray {
-		if strings.TrimSpace(in.Text) == "" {
-			return nil, fmt.Errorf("input 不能为空")
-		}
-		return []aiwire.ChatMessage{{Role: "user", Content: aiwire.NewTextContent(in.Text)}}, nil
-	}
-	var msgs []aiwire.ChatMessage
-	for _, it := range in.Items {
-		out, err := respItemToMessages(it, msgs)
-		if err != nil {
-			return nil, err
-		}
-		msgs = out
-	}
-	return msgs, nil
-}
-
-// respItemToMessages 追加一个 input item;连续 function_call 合并进同一 assistant 消息。
-func respItemToMessages(it aiwire.RespItem, msgs []aiwire.ChatMessage) ([]aiwire.ChatMessage, error) {
-	switch it.Type {
-	case "", "message":
-		if it.Content.HasUnsupported() {
-			return nil, ErrAiUnsupportedBlock
-		}
-		role := respRole(it.Role)
-		return append(msgs, aiwire.ChatMessage{Role: role, Content: respContentToIR(it.Content)}), nil
-	case "function_call":
-		call := aiwire.ToolCall{ID: it.CallID, Type: "function",
-			Function: aiwire.FunctionCall{Name: it.Name, Arguments: it.Arguments}}
-		if n := len(msgs); n > 0 && msgs[n-1].Role == "assistant" && len(msgs[n-1].ToolCalls) > 0 {
-			msgs[n-1].ToolCalls = append(msgs[n-1].ToolCalls, call)
-			return msgs, nil
-		}
-		return append(msgs, aiwire.ChatMessage{Role: "assistant", ToolCalls: []aiwire.ToolCall{call}}), nil
-	case "function_call_output":
-		return append(msgs, aiwire.ChatMessage{Role: "tool", ToolCallID: it.CallID,
-			Content: aiwire.NewTextContent(it.OutputText())}), nil
-	case "reasoning":
-		return msgs, nil // 推理块不回灌上游
-	default:
-		return nil, fmt.Errorf("不支持的 input item 类型 %q", it.Type)
-	}
-}
-
-// respRole 归一 item 角色;developer 视为 system,缺省 user。
-func respRole(role string) string {
-	switch role {
-	case "system", "developer":
-		return "system"
-	case "assistant":
-		return "assistant"
-	default:
-		return "user"
-	}
-}
-
-// respContentToIR 把 Responses 内容转 IR;纯文本拍平,含图片时保留部件顺序。
-func respContentToIR(c aiwire.RespContent) aiwire.Content {
-	var parts []aiwire.ContentPart
-	hasImage := false
-	for _, p := range c.Parts {
-		switch p.Type {
-		case "input_image":
-			parts = append(parts, aiwire.ContentPart{Type: "image_url",
-				ImageURL: &aiwire.ImageURL{URL: p.ImageURL, Detail: p.Detail}})
-			hasImage = true
-		default:
-			if p.Text != "" {
-				parts = append(parts, aiwire.ContentPart{Type: "text", Text: p.Text})
-			}
-		}
-	}
-	if !c.IsArray || !hasImage {
-		return aiwire.NewTextContent(c.JoinText())
-	}
-	return aiwire.NewPartsContent(parts)
-}
-
-// respTools 把扁平工具定义还原为嵌套 Chat 形态;strict 无 OCI 对应,忽略。
-func respTools(tools []aiwire.RespTool) []aiwire.Tool {
-	if len(tools) == 0 {
-		return nil
-	}
-	out := make([]aiwire.Tool, 0, len(tools))
+// RespServerTools 报告工具列表是否含 xAI 服务端工具(web_search / x_search)。
+func RespServerTools(tools []aiwire.RespTool) bool {
 	for _, t := range tools {
-		out = append(out, aiwire.Tool{Type: "function",
-			Function: aiwire.FunctionDef{Name: t.Name, Description: t.Description, Parameters: t.Parameters}})
+		if t.Type == "web_search" || t.Type == "x_search" {
+			return true
 		}
-	return out
+	}
+	return false
 }

-// respToolChoice 转换 tool_choice:字符串直通;{type:function,name} 转嵌套;
-// allowed_tools 等对象形态降级 auto。
-func respToolChoice(raw json.RawMessage) json.RawMessage {
-	if len(raw) == 0 {
-		return nil
+// RespPassthroughValidate 校验直通请求:模型必填,有状态特性不支持,工具类型
+// 只放行 function 与已实测的 web_search / x_search;流式仅在含服务端工具时拒绝
+// (工具流式事件形态未实测,不放开)。
+func RespPassthroughValidate(req aiwire.RespRequest) error {
+	if strings.TrimSpace(req.Model) == "" {
+		return fmt.Errorf("model 不能为空")
 	}
-	t := strings.TrimSpace(string(raw))
-	if strings.HasPrefix(t, "\"") {
-		return raw
+	if req.Stream && RespServerTools(req.Tools) {
+		return fmt.Errorf("服务端工具暂不支持流式:请去掉 stream 或改用 function 工具")
 	}
-	var obj struct {
-		Type string `json:"type"`
-		Name string `json:"name"`
+	if err := respRejectStateful(req); err != nil {
+		return err
 	}
-	if err := json.Unmarshal(raw, &obj); err != nil || obj.Type != "function" || obj.Name == "" {
-		return json.RawMessage(`"auto"`)
-	}
-	out, _ := json.Marshal(map[string]any{"type": "function", "function": map[string]string{"name": obj.Name}})
-	return out
-}
-
-// respFormat 把 text.format 转成 response_format;text 形态无需显式指定。
-func respFormat(text *aiwire.RespText) *aiwire.ResponseFormat {
-	if text == nil || text.Format == nil {
-		return nil
-	}
-	switch text.Format.Type {
-	case "json_object":
-		return &aiwire.ResponseFormat{Type: "json_object"}
-	case "json_schema":
-		spec, _ := json.Marshal(map[string]any{
-			"name": text.Format.Name, "schema": json.RawMessage(text.Format.Schema), "strict": text.Format.Strict,
-		})
-		return &aiwire.ResponseFormat{Type: "json_schema", JSONSchema: spec}
+	for _, t := range req.Tools {
+		switch t.Type {
+		case "function", "web_search", "x_search":
 		default:
+			return fmt.Errorf("不支持的工具类型 %q:服务端工具仅支持 web_search / x_search", t.Type)
+		}
+	}
+	return nil
+}
+
+// RespPassthroughBody 以原始请求体为基构造上游 body:强制 store:false(禁上游
+// 存态),stream 原样保留(流式直通);用 json.Number 保真未知字段与数值。
+func RespPassthroughBody(raw []byte) ([]byte, error) {
+	dec := json.NewDecoder(strings.NewReader(string(raw)))
+	dec.UseNumber()
+	var body map[string]any
+	if err := dec.Decode(&body); err != nil {
+		return nil, fmt.Errorf("解析请求体: %w", err)
+	}
+	body["store"] = false
+	return json.Marshal(body)
+}
+
+// RespPassthroughUsage 从直通响应提取用量;缺失时返回 nil(日志记零)。
+func RespPassthroughUsage(payload []byte) *aiwire.Usage {
+	var root struct {
+		Usage *aiwire.RespUsage `json:"usage"`
+	}
+	if json.Unmarshal(payload, &root) != nil {
 		return nil
 	}
+	return usageFromResp(root.Usage)
 }

-// IRRespToResponses 把 IR 非流式响应装配为 Response 对象。
-func IRRespToResponses(resp *aiwire.ChatResponse, id string, created int64) aiwire.Response {
-	out := aiwire.Response{ID: id, Object: "response", CreatedAt: created,
-		Status: "completed", Model: resp.Model, Output: []aiwire.RespOutItem{}, Store: false}
-	if len(resp.Choices) == 0 {
-		return out
-	}
-	choice := resp.Choices[0]
-	if text := choice.Message.Content.JoinText(); text != "" {
-		out.Output = append(out.Output, respMessageItem(id, 0, text))
-	}
-	for i, tc := range choice.Message.ToolCalls {
-		out.Output = append(out.Output, aiwire.RespOutItem{Type: "function_call",
-			ID: respItemID(id, "fc", len(out.Output)+i), Status: "completed",
-			CallID: tc.ID, Name: tc.Function.Name, Arguments: respArgs(tc.Function.Arguments)})
-	}
-	if choice.FinishReason == "length" {
-		out.Status = "incomplete"
-		out.IncompleteDetails = &aiwire.RespIncomplete{Reason: "max_output_tokens"}
-	}
-	out.Usage = respUsage(resp.Usage)
-	return out
-}
-
-func respMessageItem(respID string, idx int, text string) aiwire.RespOutItem {
-	return aiwire.RespOutItem{Type: "message", ID: respItemID(respID, "msg", idx),
-		Status: "completed", Role: "assistant",
-		Content: []aiwire.RespOutPart{{Type: "output_text", Text: text, Annotations: []any{}}}}
-}
-
-// respItemID 从响应 ID 派生确定性 item ID。
-func respItemID(respID, kind string, idx int) string {
-	return fmt.Sprintf("%s_%s_%d", kind, strings.TrimPrefix(respID, "resp_"), idx)
-}
-
-// respArgs 保证 arguments 是合法 JSON 字符串(空实参回退 {})。
-func respArgs(args string) string {
-	if strings.TrimSpace(args) == "" {
-		return "{}"
-	}
-	return args
-}
-
-// respUsage 把 IR 用量改写为 Responses 命名口径。
-func respUsage(u *aiwire.Usage) *aiwire.RespUsage {
+// usageFromResp 换算 Responses usage 为 OpenAI 口径(缓存命中透传);nil 原样返回。
+func usageFromResp(u *aiwire.RespUsage) *aiwire.Usage {
 	if u == nil {
 		return nil
 	}
-	return &aiwire.RespUsage{InputTokens: u.PromptTokens, OutputTokens: u.CompletionTokens,
-		TotalTokens:        u.TotalTokens,
-		InputTokensDetails: aiwire.RespInDetails{CachedTokens: u.CachedTokens()}}
+	usage := &aiwire.Usage{PromptTokens: u.InputTokens,
+		CompletionTokens: u.OutputTokens, TotalTokens: u.TotalTokens}
+	if cached := u.InputTokensDetails.CachedTokens; cached > 0 {
+		usage.PromptTokensDetails = &aiwire.PromptTokensDetails{CachedTokens: cached}
+	}
+	return usage
+}
+
+// RespStreamCompletedUsage 从一行 SSE data JSON 中提取 response.completed 事件的
+// usage;非 completed 事件或解析失败返回 nil。流式直通逐行喂入,最后一次非 nil 生效。
+func RespStreamCompletedUsage(data []byte) *aiwire.Usage {
+	var ev struct {
+		Type     string          `json:"type"`
+		Response json.RawMessage `json:"response"`
+	}
+	if json.Unmarshal(data, &ev) != nil || ev.Type != "response.completed" || len(ev.Response) == 0 {
+		return nil
+	}
+	return RespPassthroughUsage(ev.Response)
+}
+
+// RespStreamErrorMsg 从一行 SSE data JSON 中提取 error / response.failed 事件的
+// 错误消息;非错误事件返回空串。流式直通据此把上游错误写入调用日志。
+func RespStreamErrorMsg(data []byte) string {
+	var ev respStreamEvent
+	if json.Unmarshal(data, &ev) != nil {
+		return ""
+	}
+	switch ev.Type {
+	case "error":
+		if ev.Message != "" {
+			return ev.Message
+		}
+		return "上游返回错误事件 error"
+	case "response.failed":
+		if m := respErrorMsg(ev.Response); m != "" {
+			return m
+		}
+		return "上游返回错误事件 response.failed"
+	}
+	return ""
 }
@@ -1,199 +0,0 @@
-package service
-
-import (
-	"strings"
-
-	"oci-portal/internal/aiwire"
-)
-
-// RespEvent 是一条 Responses SSE 语义事件(event 名 + data 载荷)。
-type RespEvent struct {
-	Event string
-	Data  map[string]any
-}
-
-// RespStream 把 IR chunk 流聚合为 Responses 语义事件序列。
-// 与 AnthStream 同构,但终态事件须携带完整 Response 快照,故全程缓冲文本与实参。
-type RespStream struct {
-	id      string
-	model   string
-	created int64
-	seq     int
-	started bool
-	items   []aiwire.RespOutItem
-	msgOpen bool
-	text    strings.Builder
-	tool    aiwire.RespOutItem
-	toolIdx int
-	tOpen   bool
-	args    strings.Builder
-	finish  string
-	usage   *aiwire.Usage
-}
-
-// NewRespStream 构造状态机;id 形如 resp_*,created 为响应时间戳。
-func NewRespStream(id, model string, created int64) *RespStream {
-	return &RespStream{id: id, model: model, created: created}
-}
-
-// Feed 消化一个上游 chunk,返回应立即下发的事件。
-func (s *RespStream) Feed(chunk aiwire.ChatChunk) []RespEvent {
-	var evs []RespEvent
-	if !s.started {
-		s.started = true
-		evs = append(evs, s.respEvent("response.created", "in_progress"),
-			s.respEvent("response.in_progress", "in_progress"))
-	}
-	if chunk.Usage != nil {
-		s.usage = chunk.Usage
-	}
-	if len(chunk.Choices) == 0 {
-		return evs
-	}
-	choice := chunk.Choices[0]
-	if choice.Delta.Content != "" {
-		evs = append(evs, s.feedText(choice.Delta.Content)...)
-	}
-	for _, tc := range choice.Delta.ToolCalls {
-		evs = append(evs, s.feedTool(tc)...)
-	}
-	if choice.FinishReason != nil {
-		s.finish = *choice.FinishReason
-	}
-	return evs
-}
-
-// Finish 关闭未闭合的块并产出终态事件(带完整 Response 快照)。
-func (s *RespStream) Finish() []RespEvent {
-	var evs []RespEvent
-	if !s.started {
-		s.started = true
-		evs = append(evs, s.respEvent("response.created", "in_progress"))
-	}
-	evs = append(evs, s.closeMsg()...)
-	evs = append(evs, s.closeTool()...)
-	status := "completed"
-	if s.finish == "length" {
-		status = "incomplete"
-	}
-	return append(evs, s.respEvent("response."+status, status))
-}
-
-// Usage 返回聚合到的用量(可能为 nil),供调用日志。
-func (s *RespStream) Usage() *aiwire.Usage { return s.usage }
-
-// ev 构造带自增 sequence_number 的事件。
-func (s *RespStream) ev(typ string, kv map[string]any) RespEvent {
-	s.seq++
-	data := map[string]any{"type": typ, "sequence_number": s.seq}
-	for k, v := range kv {
-		data[k] = v
-	}
-	return RespEvent{Event: typ, Data: data}
-}
-
-// respEvent 构造携带 Response 快照的生命周期事件。
-func (s *RespStream) respEvent(typ, status string) RespEvent {
-	return s.ev(typ, map[string]any{"response": s.snapshot(status)})
-}
-
-// snapshot 组装当前累计状态的 Response 对象。
-func (s *RespStream) snapshot(status string) aiwire.Response {
-	resp := aiwire.Response{ID: s.id, Object: "response", CreatedAt: s.created,
-		Status: status, Model: s.model, Store: false,
-		Output: append([]aiwire.RespOutItem{}, s.items...)}
-	resp.Usage = respUsage(s.usage)
-	if status == "incomplete" {
-		resp.IncompleteDetails = &aiwire.RespIncomplete{Reason: "max_output_tokens"}
-	}
-	return resp
-}
-
-// feedText 处理文本增量:必要时开 message item 与 content part。
-func (s *RespStream) feedText(delta string) []RespEvent {
-	evs := s.closeTool()
-	if !s.msgOpen {
-		s.msgOpen = true
-		s.text.Reset()
-		item := aiwire.RespOutItem{Type: "message", ID: s.itemID("msg"), Status: "in_progress",
-			Role: "assistant", Content: []aiwire.RespOutPart{}}
-		evs = append(evs, s.ev("response.output_item.added", map[string]any{
-			"output_index": len(s.items), "item": item}))
-		evs = append(evs, s.ev("response.content_part.added", map[string]any{
-			"item_id": item.ID, "output_index": len(s.items), "content_index": 0,
-			"part": aiwire.RespOutPart{Type: "output_text", Text: "", Annotations: []any{}}}))
-	}
-	s.text.WriteString(delta)
-	return append(evs, s.ev("response.output_text.delta", map[string]any{
-		"item_id": s.itemID("msg"), "output_index": len(s.items), "content_index": 0, "delta": delta}))
-}
-
-// closeMsg 闭合当前 message item(text done → part done → item done)。
-func (s *RespStream) closeMsg() []RespEvent {
-	if !s.msgOpen {
-		return nil
-	}
-	s.msgOpen = false
-	id, idx, full := s.itemID("msg"), len(s.items), s.text.String()
-	part := aiwire.RespOutPart{Type: "output_text", Text: full, Annotations: []any{}}
-	item := aiwire.RespOutItem{Type: "message", ID: id, Status: "completed",
-		Role: "assistant", Content: []aiwire.RespOutPart{part}}
-	evs := []RespEvent{
-		s.ev("response.output_text.done", map[string]any{"item_id": id, "output_index": idx, "content_index": 0, "text": full}),
-		s.ev("response.content_part.done", map[string]any{"item_id": id, "output_index": idx, "content_index": 0, "part": part}),
-		s.ev("response.output_item.done", map[string]any{"output_index": idx, "item": item}),
-	}
-	s.items = append(s.items, item)
-	return evs
-}
-
-// feedTool 处理工具调用增量:新 Index 先闭合旧调用再开新 item。
-func (s *RespStream) feedTool(tc aiwire.ToolCallDelta) []RespEvent {
-	evs := s.closeMsg()
-	if s.tOpen && tc.Index != s.toolIdx {
-		evs = append(evs, s.closeTool()...)
-	}
-	if !s.tOpen {
-		s.tOpen, s.toolIdx = true, tc.Index
-		s.args.Reset()
-		s.tool = aiwire.RespOutItem{Type: "function_call", ID: s.itemID("fc"), Status: "in_progress",
-			CallID: tc.ID, Name: tc.Function.Name}
-		evs = append(evs, s.ev("response.output_item.added", map[string]any{
-			"output_index": len(s.items), "item": s.tool}))
-	}
-	if tc.ID != "" && s.tool.CallID == "" {
-		s.tool.CallID = tc.ID
-	}
-	if tc.Function.Name != "" && s.tool.Name == "" {
-		s.tool.Name = tc.Function.Name
-	}
-	if tc.Function.Arguments == "" {
-		return evs
-	}
-	s.args.WriteString(tc.Function.Arguments)
-	return append(evs, s.ev("response.function_call_arguments.delta", map[string]any{
-		"item_id": s.tool.ID, "output_index": len(s.items), "delta": tc.Function.Arguments}))
-}
-
-// closeTool 闭合当前 function_call item(arguments done → item done)。
-func (s *RespStream) closeTool() []RespEvent {
-	if !s.tOpen {
-		return nil
-	}
-	s.tOpen = false
-	s.tool.Arguments = respArgs(s.args.String())
-	s.tool.Status = "completed"
-	idx := len(s.items)
-	evs := []RespEvent{
-		s.ev("response.function_call_arguments.done", map[string]any{
-			"item_id": s.tool.ID, "output_index": idx, "arguments": s.tool.Arguments}),
-		s.ev("response.output_item.done", map[string]any{"output_index": idx, "item": s.tool}),
-	}
-	s.items = append(s.items, s.tool)
-	return evs
-}
-
-// itemID 按当前 output 序号派生确定性 item ID。
-func (s *RespStream) itemID(kind string) string {
-	return respItemID(s.id, kind, len(s.items))
-}
@@ -17,47 +17,6 @@ func respReq(t *testing.T, raw string) aiwire.RespRequest {
 	return req
 }

-func TestResponsesToIR(t *testing.T) {
-	req := respReq(t, `{
-		"model": "meta.llama-3.3-70b-instruct",
-		"instructions": "你是助手",
-		"max_output_tokens": 128,
-		"input": [
-			{"role": "user", "content": "查天气"},
-			{"type": "function_call", "call_id": "call_1", "name": "get_weather", "arguments": "{\"city\":\"上海\"}"},
-			{"type": "function_call_output", "call_id": "call_1", "output": "{\"temp\":31}"},
-			{"type": "message", "role": "assistant", "content": [{"type": "output_text", "text": "31 度"}]}
-		],
-		"tools": [{"type": "function", "name": "get_weather", "description": "查天气", "parameters": {"type": "object"}, "strict": true}],
-		"tool_choice": {"type": "function", "name": "get_weather"},
-		"text": {"format": {"type": "json_schema", "name": "out", "schema": {"type": "object"}}}
-	}`)
-	ir, err := ResponsesToIR(req)
-	if err != nil {
-		t.Fatalf("ResponsesToIR: %v", err)
-	}
-	roles := make([]string, 0, len(ir.Messages))
-	for _, m := range ir.Messages {
-		roles = append(roles, m.Role)
-	}
-	want := []string{"system", "user", "assistant", "tool", "assistant"}
-	if strings.Join(roles, ",") != strings.Join(want, ",") {
-		t.Errorf("roles = %v, want %v", roles, want)
-	}
-	if ir.Messages[2].ToolCalls[0].ID != "call_1" || ir.Messages[3].ToolCallID != "call_1" {
-		t.Errorf("tool call 链接错误: %+v", ir.Messages)
-	}
-	if deref(ir.MaxTokens) != 128 || len(ir.Tools) != 1 || ir.Tools[0].Function.Name != "get_weather" {
-		t.Errorf("参数映射错误: max=%v tools=%+v", ir.MaxTokens, ir.Tools)
-	}
-	if !strings.Contains(string(ir.ToolChoice), `"function"`) || !strings.Contains(string(ir.ToolChoice), "get_weather") {
-		t.Errorf("tool_choice = %s", ir.ToolChoice)
-	}
-	if ir.ResponseFormat == nil || ir.ResponseFormat.Type != "json_schema" {
-		t.Errorf("response_format = %+v", ir.ResponseFormat)
-	}
-}
-
 func deref(p *int) int {
 	if p == nil {
 		return 0
@@ -65,112 +24,124 @@ func deref(p *int) int {
 	return *p
 }

-func TestResponsesToIRRejects(t *testing.T) {
-	cases := []struct{ name, raw string }{
-		{"previous_response_id", `{"model":"m","input":"hi","previous_response_id":"resp_x"}`},
-		{"conversation", `{"model":"m","input":"hi","conversation":{"id":"conv_1"}}`},
-		{"background", `{"model":"m","input":"hi","background":true}`},
-		{"builtin tool", `{"model":"m","input":"hi","tools":[{"type":"web_search"}]}`},
-		{"file_id image", `{"model":"m","input":[{"role":"user","content":[{"type":"input_image","file_id":"file_1"}]}]}`},
-		{"unknown item", `{"model":"m","input":[{"type":"item_reference","id":"x"}]}`},
+func TestRespServerTools(t *testing.T) {
+	tests := []struct {
+		name  string
+		tools []aiwire.RespTool
+		want  bool
+	}{
+		{"web_search", []aiwire.RespTool{{Type: "web_search"}}, true},
+		{"x_search混用", []aiwire.RespTool{{Type: "function", Name: "f"}, {Type: "x_search"}}, true},
+		{"仅function", []aiwire.RespTool{{Type: "function", Name: "f"}}, false},
+		{"空", nil, false},
+		{"其他类型", []aiwire.RespTool{{Type: "code_interpreter"}}, false},
 	}
-	for _, c := range cases {
-		if _, err := ResponsesToIR(respReq(t, c.raw)); err == nil {
-			t.Errorf("%s 应被拒绝", c.name)
+	for _, test := range tests {
+		t.Run(test.name, func(t *testing.T) {
+			if got := RespServerTools(test.tools); got != test.want {
+				t.Fatalf("got %v, want %v", got, test.want)
 			}
+		})
 	}
-	// input 字符串形态 + store/reasoning 忽略项不报错
-	req := respReq(t, `{"model":"m","input":"你好","store":false,"reasoning":{"effort":"low"},"parallel_tool_calls":true}`)
-	ir, err := ResponsesToIR(req)
-	if err != nil || len(ir.Messages) != 1 || ir.Messages[0].Role != "user" || ir.ReasoningEffort != "low" {
-		t.Errorf("字符串 input = %+v, %v", ir.Messages, err)
+}
+
+func TestRespPassthroughValidate(t *testing.T) {
+	prev := "resp_1"
+	bg := true
+	tests := []struct {
+		name    string
+		req     aiwire.RespRequest
+		wantErr bool
+	}{
+		{"合法", aiwire.RespRequest{Model: "m", Tools: []aiwire.RespTool{{Type: "web_search"}}}, false},
+		{"混用function", aiwire.RespRequest{Model: "m", Tools: []aiwire.RespTool{{Type: "web_search"}, {Type: "function", Name: "f"}}}, false},
+		{"缺model", aiwire.RespRequest{Tools: []aiwire.RespTool{{Type: "web_search"}}}, true},
+		{"工具加流式拒绝", aiwire.RespRequest{Model: "m", Stream: true, Tools: []aiwire.RespTool{{Type: "web_search"}}}, true},
+		{"无工具流式放行", aiwire.RespRequest{Model: "m", Stream: true}, false},
+		{"function工具流式放行", aiwire.RespRequest{Model: "m", Stream: true, Tools: []aiwire.RespTool{{Type: "function", Name: "f"}}}, false},
+		{"有状态拒绝", aiwire.RespRequest{Model: "m", PreviousResponseID: prev}, true},
+		{"background拒绝", aiwire.RespRequest{Model: "m", Background: &bg}, true},
+		{"未知工具拒绝", aiwire.RespRequest{Model: "m", Tools: []aiwire.RespTool{{Type: "web_search"}, {Type: "mcp"}}}, true},
 	}
-	// input_image(url 形态)放行并保留图文顺序
-	req2 := respReq(t, `{"model":"m","input":[{"role":"user","content":[{"type":"input_text","text":"看图"},{"type":"input_image","image_url":"https://x/1.png","detail":"low"}]}]}`)
-	ir2, err := ResponsesToIR(req2)
+	for _, test := range tests {
+		t.Run(test.name, func(t *testing.T) {
+			err := RespPassthroughValidate(test.req)
+			if (err != nil) != test.wantErr {
+				t.Fatalf("err = %v, wantErr %v", err, test.wantErr)
+			}
+		})
+	}
+}
+
+func TestRespPassthroughBody(t *testing.T) {
+	raw := []byte(`{"model":"m","input":"hi","stream":true,"store":true,"max_output_tokens":128,"custom_field":{"a":1.5}}`)
+	out, err := RespPassthroughBody(raw)
 	if err != nil {
-		t.Fatalf("input_image 应放行: %v", err)
+		t.Fatalf("RespPassthroughBody: %v", err)
 	}
-	parts := ir2.Messages[0].Content.Parts
-	if len(parts) != 2 || parts[1].Type != "image_url" || parts[1].ImageURL == nil || parts[1].ImageURL.URL != "https://x/1.png" {
-		t.Errorf("parts = %+v", parts)
+	var body map[string]any
+	if err := json.Unmarshal(out, &body); err != nil {
+		t.Fatalf("unmarshal out: %v", err)
+	}
+	if body["store"] != false {
+		t.Errorf("store 应强制 false, got %v", body["store"])
+	}
+	if body["stream"] != true {
+		t.Errorf("stream 应原样保留, got %v", body["stream"])
+	}
+	if string(out) == "" || !strings.Contains(string(out), `"max_output_tokens":128`) {
+		t.Errorf("数值字段应保真: %s", out)
+	}
+	if !strings.Contains(string(out), `"custom_field"`) {
+		t.Errorf("未知字段应保留: %s", out)
+	}
+	if _, err := RespPassthroughBody([]byte("not-json")); err == nil {
+		t.Error("非法 JSON 应报错")
 	}
 }

-func TestIRRespToResponses(t *testing.T) {
-	resp := &aiwire.ChatResponse{Model: "m", Choices: []aiwire.Choice{{
-		Message: aiwire.ChatMessage{Role: "assistant", Content: aiwire.NewTextContent("你好"),
-			ToolCalls: []aiwire.ToolCall{{ID: "call_9", Type: "function",
-				Function: aiwire.FunctionCall{Name: "f", Arguments: ""}}}},
-		FinishReason: "length",
-	}}, Usage: &aiwire.Usage{PromptTokens: 10, CompletionTokens: 5, TotalTokens: 15}}
-	out := IRRespToResponses(resp, "resp_abc", 1751966400)
-	if out.Status != "incomplete" || out.IncompleteDetails == nil || out.IncompleteDetails.Reason != "max_output_tokens" {
-		t.Errorf("length 应映射 incomplete: %+v", out)
+func TestRespPassthroughUsage(t *testing.T) {
+	tests := []struct {
+		name           string
+		payload        string
+		wantNil        bool
+		prompt, cached int
+	}{
+		{"完整", `{"usage":{"input_tokens":9,"output_tokens":3,"total_tokens":12,"input_tokens_details":{"cached_tokens":5}}}`, false, 9, 5},
+		{"无细分", `{"usage":{"input_tokens":9,"output_tokens":3,"total_tokens":12}}`, false, 9, 0},
+		{"无usage", `{"id":"resp_1"}`, true, 0, 0},
+		{"非法JSON", `xx`, true, 0, 0},
 	}
-	if len(out.Output) != 2 || out.Output[0].Type != "message" || out.Output[1].Type != "function_call" {
-		t.Fatalf("output = %+v", out.Output)
+	for _, test := range tests {
+		t.Run(test.name, func(t *testing.T) {
+			usage := RespPassthroughUsage([]byte(test.payload))
+			if (usage == nil) != test.wantNil {
+				t.Fatalf("usage = %v, wantNil %v", usage, test.wantNil)
 			}
-	if out.Output[0].Content[0].Text != "你好" || out.Output[1].CallID != "call_9" || out.Output[1].Arguments != "{}" {
-		t.Errorf("item 装配错误: %+v", out.Output)
+			if usage == nil {
+				return
 			}
-	if out.Usage.InputTokens != 10 || out.Usage.OutputTokens != 5 || out.Store {
-		t.Errorf("usage/store 错误: %+v", out)
+			if usage.PromptTokens != test.prompt || usage.CachedTokens() != test.cached {
+				t.Fatalf("prompt=%d cached=%d, want %d/%d", usage.PromptTokens, usage.CachedTokens(), test.prompt, test.cached)
+			}
+		})
 	}
 }

-func chunkText(text string) aiwire.ChatChunk {
-	return aiwire.ChatChunk{Choices: []aiwire.ChunkChoice{{Delta: aiwire.Delta{Content: text}}}}
-}
-
-func TestRespStreamTextAndTool(t *testing.T) {
-	st := NewRespStream("resp_x", "m", 1751966400)
-	var types []string
-	collect := func(evs []RespEvent) {
-		for _, ev := range evs {
-			types = append(types, ev.Event)
+// TestRespStreamCompletedUsage 断言流式 usage 只从 completed 事件提取。
+func TestRespStreamCompletedUsage(t *testing.T) {
+	completed := []byte(`{"type":"response.completed","response":{"usage":{"input_tokens":10,"output_tokens":5,"total_tokens":15,"input_tokens_details":{"cached_tokens":4}}}}`)
+	if u := RespStreamCompletedUsage(completed); u == nil || u.PromptTokens != 10 || u.CompletionTokens != 5 ||
+		u.PromptTokensDetails == nil || u.PromptTokensDetails.CachedTokens != 4 {
+		t.Fatalf("completed 事件 usage 解析失败: %+v", u)
 	}
+	for _, data := range []string{
+		`{"type":"response.output_text.delta","delta":"hi"}`,
+		`{"type":"response.completed"}`,
+		`not-json`,
+	} {
+		if u := RespStreamCompletedUsage([]byte(data)); u != nil {
+			t.Fatalf("非 completed 或缺 response 应返回 nil: %s", data)
 		}
-	collect(st.Feed(chunkText("你")))
-	collect(st.Feed(chunkText("好")))
-	collect(st.Feed(aiwire.ChatChunk{Choices: []aiwire.ChunkChoice{{Delta: aiwire.Delta{
-		ToolCalls: []aiwire.ToolCallDelta{{Index: 0, ID: "call_1", Function: aiwire.FunctionCallDelta{Name: "f", Arguments: "{\"a\""}}}}}}}))
-	collect(st.Feed(aiwire.ChatChunk{Choices: []aiwire.ChunkChoice{{Delta: aiwire.Delta{
-		ToolCalls: []aiwire.ToolCallDelta{{Index: 0, Function: aiwire.FunctionCallDelta{Arguments: ":1}"}}}}}},
-		Usage: &aiwire.Usage{PromptTokens: 3, CompletionTokens: 7, TotalTokens: 10}}))
-	finish := st.Finish()
-	collect(finish)
-	want := []string{
-		"response.created", "response.in_progress",
-		"response.output_item.added", "response.content_part.added", "response.output_text.delta",
-		"response.output_text.delta",
-		"response.output_text.done", "response.content_part.done", "response.output_item.done",
-		"response.output_item.added", "response.function_call_arguments.delta",
-		"response.function_call_arguments.delta",
-		"response.function_call_arguments.done", "response.output_item.done",
-		"response.completed",
-	}
-	if strings.Join(types, "\n") != strings.Join(want, "\n") {
-		t.Errorf("事件序列 =\n%s\nwant\n%s", strings.Join(types, "\n"), strings.Join(want, "\n"))
-	}
-	last := finish[len(finish)-1].Data
-	resp := last["response"].(aiwire.Response)
-	if len(resp.Output) != 2 || resp.Output[0].Content[0].Text != "你好" || resp.Output[1].Arguments != "{\"a\":1}" {
-		t.Errorf("终态快照 = %+v", resp.Output)
-	}
-	if resp.Usage == nil || resp.Usage.TotalTokens != 10 {
-		t.Errorf("终态 usage = %+v", resp.Usage)
-	}
-	// sequence_number 严格递增
-	if seq, ok := last["sequence_number"].(int); !ok || seq != len(want) {
-		t.Errorf("最终 sequence_number = %v, want %d", last["sequence_number"], len(want))
-	}
-}
-
-func TestRespStreamEmpty(t *testing.T) {
-	st := NewRespStream("resp_e", "m", 1)
-	evs := st.Finish()
-	if len(evs) != 2 || evs[0].Event != "response.created" || evs[1].Event != "response.completed" {
-		t.Errorf("空流事件 = %+v", evs)
 	}
 }
@@ -1,305 +0,0 @@
-package service
-
-import (
-	"context"
-	"errors"
-	"fmt"
-	"log"
-	"net/netip"
-	"slices"
-	"strings"
-	"time"
-
-	"gorm.io/gorm"
-	"gorm.io/gorm/clause"
-
-	"oci-portal/internal/model"
-)
-
-// 告警规则约束与命中记录保留期(窗口计数之外多留几天便于排查)。
-const (
-	alertMaxThreshold  = 100
-	alertMaxWindowMin  = 1440
-	alertHitRetention  = 7 * 24 * time.Hour
-	alertSourceIPIn    = "in"
-	alertSourceIPNotIn = "notin"
-)
-
-// ErrInvalidAlertRule 标记规则字段非法,api 层映射 400。
-var ErrInvalidAlertRule = fmt.Errorf("告警规则字段非法")
-
-// ListAlertRules 返回全部告警规则(创建顺序)。
-func (s *LogEventService) ListAlertRules(ctx context.Context) ([]model.AlertRule, error) {
-	var rules []model.AlertRule
-	if err := s.db.WithContext(ctx).Order("id").Find(&rules).Error; err != nil {
-		return nil, fmt.Errorf("list alert rules: %w", err)
-	}
-	return rules, nil
-}
-
-// CreateAlertRule 校验并创建规则。
-func (s *LogEventService) CreateAlertRule(ctx context.Context, rule model.AlertRule) (model.AlertRule, error) {
-	if err := validateAlertRule(&rule); err != nil {
-		return model.AlertRule{}, err
-	}
-	rule.ID = 0
-	if err := s.db.WithContext(ctx).Create(&rule).Error; err != nil {
-		return model.AlertRule{}, fmt.Errorf("create alert rule: %w", err)
-	}
-	return rule, nil
-}
-
-// UpdateAlertRule 校验并整体覆盖规则(含启停)。
-func (s *LogEventService) UpdateAlertRule(ctx context.Context, id uint, rule model.AlertRule) (model.AlertRule, error) {
-	if err := validateAlertRule(&rule); err != nil {
-		return model.AlertRule{}, err
-	}
-	var cur model.AlertRule
-	if err := s.db.WithContext(ctx).First(&cur, id).Error; err != nil {
-		return model.AlertRule{}, fmt.Errorf("find alert rule %d: %w", id, err)
-	}
-	rule.ID, rule.CreatedAt = cur.ID, cur.CreatedAt
-	if err := s.db.WithContext(ctx).Save(&rule).Error; err != nil {
-		return model.AlertRule{}, fmt.Errorf("update alert rule: %w", err)
-	}
-	return rule, nil
-}
-
-// DeleteAlertRule 删除规则及其命中记录。
-func (s *LogEventService) DeleteAlertRule(ctx context.Context, id uint) error {
-	if err := s.db.WithContext(ctx).Delete(&model.AlertRule{}, id).Error; err != nil {
-		return fmt.Errorf("delete alert rule: %w", err)
-	}
-	if err := s.db.WithContext(ctx).Where("rule_id = ?", id).Delete(&model.AlertRuleHit{}).Error; err != nil {
-		return fmt.Errorf("delete alert rule hits: %w", err)
-	}
-	return nil
-}
-
-// validateAlertRule 校验字段并归一化;非法时返回含具体原因的 ErrInvalidAlertRule 包装。
-func validateAlertRule(rule *model.AlertRule) error {
-	rule.Name = strings.TrimSpace(rule.Name)
-	if rule.Name == "" {
-		return fmt.Errorf("%w: 名称必填", ErrInvalidAlertRule)
-	}
-	if rule.SourceIPMode == "" {
-		rule.SourceIPMode = alertSourceIPIn
-	}
-	if rule.SourceIPMode != alertSourceIPIn && rule.SourceIPMode != alertSourceIPNotIn {
-		return fmt.Errorf("%w: 来源 IP 模式须为 in/notin", ErrInvalidAlertRule)
-	}
-	if rule.Threshold < 1 || rule.Threshold > alertMaxThreshold {
-		return fmt.Errorf("%w: 阈值须在 1-%d 之间", ErrInvalidAlertRule, alertMaxThreshold)
-	}
-	if rule.Threshold > 1 && (rule.WindowMinutes < 1 || rule.WindowMinutes > alertMaxWindowMin) {
-		return fmt.Errorf("%w: 阈值>1 时窗口须在 1-%d 分钟之间", ErrInvalidAlertRule, alertMaxWindowMin)
-	}
-	if rule.EventTypes != "" {
-		rule.EventTypes = normalizeCSV(rule.EventTypes)
-	}
-	return validateAlertRuleIPs(rule)
-}
-
-// validateAlertRuleIPs 归一化并校验来源 IP 列表(裸 IP 或 CIDR)。
-func validateAlertRuleIPs(rule *model.AlertRule) error {
-	if rule.SourceIPs == "" {
-		return nil
-	}
-	rule.SourceIPs = normalizeCSV(rule.SourceIPs)
-	for _, item := range strings.Split(rule.SourceIPs, ",") {
-		if _, err := parseIPMatcher(item); err != nil {
-			return fmt.Errorf("%w: 来源 IP %q 不是合法的 IP 或 CIDR", ErrInvalidAlertRule, item)
-		}
-	}
-	return nil
-}
-
-// normalizeCSV 去除各项空白与空项后重组逗号分隔串。
-func normalizeCSV(s string) string {
-	parts := strings.Split(s, ",")
-	out := parts[:0]
-	for _, p := range parts {
-		if p = strings.TrimSpace(p); p != "" {
-			out = append(out, p)
-		}
-	}
-	return strings.Join(out, ",")
-}
-
-// parseIPMatcher 把裸 IP 或 CIDR 解析为前缀(裸 IP 视为单地址前缀)。
-func parseIPMatcher(item string) (netip.Prefix, error) {
-	if strings.Contains(item, "/") {
-		return netip.ParsePrefix(item)
-	}
-	addr, err := netip.ParseAddr(item)
-	if err != nil {
-		return netip.Prefix{}, err
-	}
-	return netip.PrefixFrom(addr, addr.BitLen()), nil
-}
-
-// ipListMatch 报告 ip 是否命中列表中的任一前缀;ip 解析失败视为未命中。
-func ipListMatch(list, ip string) bool {
-	addr, err := netip.ParseAddr(ip)
-	if err != nil {
-		return false
-	}
-	for _, item := range strings.Split(list, ",") {
-		if p, err := parseIPMatcher(item); err == nil && p.Contains(addr) {
-			return true
-		}
-	}
-	return false
-}
-
-// ruleHits 报告事件是否命中规则的全部条件(AND 语义,空条件视为任意)。
-func ruleHits(rule model.AlertRule, e *model.LogEvent, p parsedEvent) bool {
-	if rule.OciConfigID != 0 && rule.OciConfigID != e.OciConfigID {
-		return false
-	}
-	name := relayEventShortName(p.EventType)
-	if rule.EventTypes != "" && !slices.Contains(strings.Split(rule.EventTypes, ","), name) {
-		return false
-	}
-	if rule.ResourceMatch != "" && !strings.Contains(p.ResourceName, rule.ResourceMatch) {
-		return false
-	}
-	return ruleIPHits(rule, p.SourceIP)
-}
-
-// ruleIPHits 按模式判定来源 IP 条件:in 命中列表告警;notin 不在列表才告警,
-// 事件缺 IP 字段时 notin 不告警(避免解析缺字段导致白名单误报)。
-func ruleIPHits(rule model.AlertRule, ip string) bool {
-	if rule.SourceIPs == "" {
-		return true
-	}
-	if rule.SourceIPMode == alertSourceIPNotIn {
-		return ip != "" && !ipListMatch(rule.SourceIPs, ip)
-	}
-	return ipListMatch(rule.SourceIPs, ip)
-}
-
-// matchAlertRules 对一条已解析事件执行全部启用规则;任何内部错误只记日志,不影响解析主流程。
-func (s *LogEventService) matchAlertRules(ctx context.Context, rules []model.AlertRule, e *model.LogEvent, p parsedEvent) {
-	if s.notifier == nil {
-		return
-	}
-	for _, rule := range rules {
-		if !rule.Enabled || !ruleHits(rule, e, p) {
-			continue
-		}
-		count, ok := s.recordAlertHit(ctx, rule, e)
-		if !ok || count < rule.Threshold || !s.alertCooldownPass(rule) {
-			continue
-		}
-		s.notifier.SendTemplateAsync("audit_alert", map[string]string{
-			"rule": rule.Name, "tenant": s.configAlias(ctx, e.OciConfigID),
-			"event": relayEventShortName(p.EventType), "resource": p.ResourceName,
-			"ip": p.SourceIP, "count": fmt.Sprint(count),
-		})
-	}
-}
-
-// recordAlertHit 落一条命中并返回窗口内累计次数;阈值 1 的规则免计数直接触发。
-func (s *LogEventService) recordAlertHit(ctx context.Context, rule model.AlertRule, e *model.LogEvent) (int, bool) {
-	count, err := s.recordAlertHitTx(ctx, rule, e)
-	if err != nil {
-		if !errors.Is(err, gorm.ErrRecordNotFound) {
-			log.Printf("alert rule hit record: %v", err)
-		}
-		return 0, false
-	}
-	return count, true
-}
-
-func (s *LogEventService) recordAlertHitTx(ctx context.Context, rule model.AlertRule, event *model.LogEvent) (int, error) {
-	count := 0
-	err := s.db.WithContext(ctx).Transaction(func(tx *gorm.DB) error {
-		var err error
-		count, err = insertAlertHit(tx, rule, event)
-		return err
-	})
-	return count, err
-}
-
-// insertAlertHit 按 rule→event 锁顺序确认引用存在后插入并统计窗口命中。
-func insertAlertHit(tx *gorm.DB, rule model.AlertRule, event *model.LogEvent) (int, error) {
-	if err := lockAlertRefs(tx, rule.ID, event.ID); err != nil {
-		return 0, err
-	}
-	if rule.Threshold <= 1 {
-		return 1, nil
-	}
-	now := time.Now()
-	hit := model.AlertRuleHit{RuleID: rule.ID, LogEventID: event.ID, HitAt: now}
-	if err := tx.Create(&hit).Error; err != nil {
-		return 0, fmt.Errorf("create alert rule hit: %w", err)
-	}
-	var count int64
-	cutoff := now.Add(-time.Duration(rule.WindowMinutes) * time.Minute)
-	err := tx.Model(&model.AlertRuleHit{}).
-		Where("rule_id = ? AND hit_at >= ?", rule.ID, cutoff).Count(&count).Error
-	if err != nil {
-		return 0, fmt.Errorf("count alert rule hits: %w", err)
-	}
-	return int(count), nil
-}
-
-func lockAlertRefs(tx *gorm.DB, ruleID, eventID uint) error {
-	var rule model.AlertRule
-	if err := tx.Clauses(clause.Locking{Strength: "UPDATE"}).Select("id").First(&rule, ruleID).Error; err != nil {
-		return fmt.Errorf("lock alert rule %d: %w", ruleID, err)
-	}
-	var event model.LogEvent
-	if err := tx.Clauses(clause.Locking{Strength: "UPDATE"}).Select("id").First(&event, eventID).Error; err != nil {
-		return fmt.Errorf("lock log event %d: %w", eventID, err)
-	}
-	return nil
-}
-
-// alertCooldownPass 报告规则是否已过冷却窗口;通过即记录本次发送时刻。
-// 阈值 1 的规则无冷却(每次命中即时告警,与既有云端事件通知一致)。
-func (s *LogEventService) alertCooldownPass(rule model.AlertRule) bool {
-	if rule.Threshold <= 1 {
-		return true
-	}
-	s.alertMu.Lock()
-	defer s.alertMu.Unlock()
-	window := time.Duration(rule.WindowMinutes) * time.Minute
-	if last, ok := s.alertSentAt[rule.ID]; ok && time.Since(last) < window {
-		return false
-	}
-	if s.alertSentAt == nil {
-		s.alertSentAt = map[uint]time.Time{}
-	}
-	s.alertSentAt[rule.ID] = time.Now()
-	return true
-}
-
-// ClearAlertCooldown 清除已删除租户规则的进程内冷却状态。
-func (s *LogEventService) ClearAlertCooldown(ruleIDs []uint) {
-	s.alertMu.Lock()
-	defer s.alertMu.Unlock()
-	for _, id := range ruleIDs {
-		delete(s.alertSentAt, id)
-	}
-}
-
-// loadEnabledAlertRules 载入启用中的规则;失败时返回空集并记日志(解析主流程照常)。
-func (s *LogEventService) loadEnabledAlertRules(ctx context.Context) []model.AlertRule {
-	var rules []model.AlertRule
-	err := s.db.WithContext(ctx).Where("enabled = ?", true).Order("id").Find(&rules).Error
-	if err != nil {
-		log.Printf("load alert rules: %v", err)
-		return nil
-	}
-	return rules
-}
-
-// cleanupAlertHits 删除保留期外的命中记录(随 cleanupOnce 周期执行)。
-func (s *LogEventService) cleanupAlertHits(ctx context.Context) {
-	cutoff := time.Now().Add(-alertHitRetention)
-	if err := s.db.WithContext(ctx).Where("hit_at < ?", cutoff).Delete(&model.AlertRuleHit{}).Error; err != nil {
-		log.Printf("cleanup alert hits: %v", err)
-	}
-}
@@ -1,345 +0,0 @@
-package service
-
-import (
-	"context"
-	"fmt"
-	"strings"
-	"testing"
-	"time"
-
-	"oci-portal/internal/crypto"
-	"oci-portal/internal/model"
-)
-
-func TestValidateAlertRule(t *testing.T) {
-	tests := []struct {
-		name    string
-		rule    model.AlertRule
-		wantErr string
-		check   func(t *testing.T, r model.AlertRule)
-	}{
-		{name: "名称必填", rule: model.AlertRule{Threshold: 1}, wantErr: "名称"},
-		{name: "模式非法", rule: model.AlertRule{Name: "r", Threshold: 1, SourceIPMode: "any"}, wantErr: "in/notin"},
-		{name: "阈值越界", rule: model.AlertRule{Name: "r", Threshold: 101}, wantErr: "阈值"},
-		{name: "阈值>1须带窗口", rule: model.AlertRule{Name: "r", Threshold: 3}, wantErr: "窗口"},
-		{name: "IP 非法", rule: model.AlertRule{Name: "r", Threshold: 1, SourceIPs: "300.1.1.1"}, wantErr: "IP"},
-		{name: "CIDR 合法", rule: model.AlertRule{Name: "r", Threshold: 1, SourceIPs: "10.0.0.0/8, 1.2.3.4"},
-			check: func(t *testing.T, r model.AlertRule) {
-				if r.SourceIPs != "10.0.0.0/8,1.2.3.4" {
-					t.Errorf("SourceIPs = %q, 应去空白归一化", r.SourceIPs)
-				}
-				if r.SourceIPMode != alertSourceIPIn {
-					t.Errorf("SourceIPMode = %q, 应默认 in", r.SourceIPMode)
-				}
-			}},
-		{name: "事件清单归一化", rule: model.AlertRule{Name: "r", Threshold: 1, EventTypes: " TerminateInstance , CreateApiKey ,"},
-			check: func(t *testing.T, r model.AlertRule) {
-				if r.EventTypes != "TerminateInstance,CreateApiKey" {
-					t.Errorf("EventTypes = %q", r.EventTypes)
-				}
-			}},
-	}
-	for _, tt := range tests {
-		t.Run(tt.name, func(t *testing.T) {
-			rule := tt.rule
-			err := validateAlertRule(&rule)
-			if tt.wantErr == "" {
-				if err != nil {
-					t.Fatalf("validateAlertRule: %v", err)
-				}
-				if tt.check != nil {
-					tt.check(t, rule)
-				}
-				return
-			}
-			if err == nil || !strings.Contains(err.Error(), tt.wantErr) {
-				t.Fatalf("err = %v, want contains %q", err, tt.wantErr)
-			}
-		})
-	}
-}
-
-func TestRuleHits(t *testing.T) {
-	base := model.AlertRule{Name: "r", Threshold: 1, SourceIPMode: alertSourceIPIn}
-	ev := &model.LogEvent{OciConfigID: 7}
-	parsed := parsedEvent{
-		EventType:    "com.oraclecloud.ComputeApi.TerminateInstance",
-		SourceIP:     "203.0.113.8",
-		ResourceName: "web-server-1",
-	}
-	tests := []struct {
-		name string
-		mod  func(r *model.AlertRule)
-		p    *parsedEvent
-		want bool
-	}{
-		{name: "空条件全命中", mod: func(r *model.AlertRule) {}, want: true},
-		{name: "租户匹配", mod: func(r *model.AlertRule) { r.OciConfigID = 7 }, want: true},
-		{name: "租户不匹配", mod: func(r *model.AlertRule) { r.OciConfigID = 8 }, want: false},
-		{name: "事件短名命中", mod: func(r *model.AlertRule) { r.EventTypes = "LaunchInstance,TerminateInstance" }, want: true},
-		{name: "事件不在清单", mod: func(r *model.AlertRule) { r.EventTypes = "CreateUser" }, want: false},
-		{name: "资源子串命中", mod: func(r *model.AlertRule) { r.ResourceMatch = "web-" }, want: true},
-		{name: "资源不含", mod: func(r *model.AlertRule) { r.ResourceMatch = "db-" }, want: false},
-		{name: "IP in 命中 CIDR", mod: func(r *model.AlertRule) { r.SourceIPs = "203.0.113.0/24" }, want: true},
-		{name: "IP in 未命中", mod: func(r *model.AlertRule) { r.SourceIPs = "10.0.0.0/8" }, want: false},
-		{name: "IP notin 白名单外告警", mod: func(r *model.AlertRule) {
-			r.SourceIPs, r.SourceIPMode = "10.0.0.0/8", alertSourceIPNotIn
-		}, want: true},
-		{name: "IP notin 白名单内不告警", mod: func(r *model.AlertRule) {
-			r.SourceIPs, r.SourceIPMode = "203.0.113.8", alertSourceIPNotIn
-		}, want: false},
-		{name: "notin 事件缺 IP 不告警", mod: func(r *model.AlertRule) {
-			r.SourceIPs, r.SourceIPMode = "10.0.0.0/8", alertSourceIPNotIn
-		}, p: &parsedEvent{EventType: parsed.EventType}, want: false},
-	}
-	for _, tt := range tests {
-		t.Run(tt.name, func(t *testing.T) {
-			rule := base
-			tt.mod(&rule)
-			p := parsed
-			if tt.p != nil {
-				p = *tt.p
-			}
-			if got := ruleHits(rule, ev, p); got != tt.want {
-				t.Errorf("ruleHits = %v, want %v", got, tt.want)
-			}
-		})
-	}
-}
-
-func TestAlertRuleCRUD(t *testing.T) {
-	svc, _, _ := newLogEventEnv(t)
-	ctx := context.Background()
-
-	created, err := svc.CreateAlertRule(ctx, model.AlertRule{Name: "非白名单终止", Enabled: true, Threshold: 1})
-	if err != nil {
-		t.Fatalf("create: %v", err)
-	}
-	if created.ID == 0 {
-		t.Fatal("create 未回填 ID")
-	}
-	if _, err := svc.CreateAlertRule(ctx, model.AlertRule{Threshold: 1}); err == nil {
-		t.Fatal("空名称应校验失败")
-	}
-
-	created.Enabled = false
-	created.EventTypes = "TerminateInstance"
-	updated, err := svc.UpdateAlertRule(ctx, created.ID, created)
-	if err != nil {
-		t.Fatalf("update: %v", err)
-	}
-	if updated.Enabled || updated.EventTypes != "TerminateInstance" {
-		t.Fatalf("update 未生效: %+v", updated)
-	}
-
-	rules, err := svc.ListAlertRules(ctx)
-	if err != nil || len(rules) != 1 {
-		t.Fatalf("list = %v, %v", rules, err)
-	}
-	if err := svc.DeleteAlertRule(ctx, created.ID); err != nil {
-		t.Fatalf("delete: %v", err)
-	}
-	if rules, _ := svc.ListAlertRules(ctx); len(rules) != 0 {
-		t.Fatalf("delete 后仍有 %d 条", len(rules))
-	}
-}
-
-// auditEventPayload 构造一条含资源与来源 IP 的 CloudEvents 审计消息。
-func auditEventPayload(event, resource, ip string) string {
-	return fmt.Sprintf(`{"eventType":"com.oraclecloud.ComputeApi.%s","source":"ComputeApi",`+
-		`"eventTime":"2026-07-10T08:00:00Z","data":{"resourceName":%q,"identity":{"ipAddress":%q}}}`,
-		event, resource, ip)
-}
-
-// newAlertNotifyEnv 组装带假 Telegram 通道的告警测试环境。
-func newAlertNotifyEnv(t *testing.T) (*LogEventService, *telegramCapture, func()) {
-	t.Helper()
-	svc, db, _ := newLogEventEnv(t)
-	srv, rec := newFakeTelegram(t, `{"ok":true}`)
-	cipher, err := crypto.NewCipher("test-data-key")
-	if err != nil {
-		t.Fatalf("new cipher: %v", err)
-	}
-	settings := NewSettingService(db, cipher)
-	token := "123456:AAfake"
-	if err := settings.UpdateTelegram(context.Background(),
-		UpdateTelegramInput{Enabled: true, BotToken: &token, ChatID: "42"}); err != nil {
-		t.Fatalf("update telegram: %v", err)
-	}
-	n := NewNotifier(settings)
-	n.base = srv.URL
-	svc.SetNotifier(n, settings)
-	return svc, rec, n.Wait
-}
-
-func TestMatchAlertRulesNotify(t *testing.T) {
-	svc, rec, wait := newAlertNotifyEnv(t)
-	ctx := context.Background()
-	_, err := svc.CreateAlertRule(ctx, model.AlertRule{
-		Name: "白名单外终止", Enabled: true, Threshold: 1,
-		EventTypes: "TerminateInstance", SourceIPs: "10.0.0.0/8", SourceIPMode: alertSourceIPNotIn,
-	})
-	if err != nil {
-		t.Fatalf("create rule: %v", err)
-	}
-	// 命中:白名单外 IP;不命中:白名单内 IP
-	mustIngest(t, svc, "m1", auditEventPayload("TerminateInstance", "web-1", "203.0.113.8"))
-	mustIngest(t, svc, "m2", auditEventPayload("TerminateInstance", "web-2", "10.1.2.3"))
-	svc.parseOnce(ctx)
-	wait()
-
-	alerts := auditAlerts(rec.snapshot())
-	joined := strings.Join(alerts, "\n---\n")
-	if !strings.Contains(joined, "白名单外终止") || !strings.Contains(joined, "web-1") {
-		t.Fatalf("应收到含规则名与资源的告警,got %q", joined)
-	}
-	if strings.Contains(joined, "web-2") {
-		t.Fatalf("白名单内事件不应告警,got %q", joined)
-	}
-}
-
-// auditAlerts 过滤出审计告警推送(排除既有 notifyCritical 的云端事件通知)。
-func auditAlerts(texts []string) []string {
-	var out []string
-	for _, s := range texts {
-		if strings.Contains(s, "审计告警") {
-			out = append(out, s)
-		}
-	}
-	return out
-}
-
-func TestAlertThresholdWindow(t *testing.T) {
-	svc, rec, wait := newAlertNotifyEnv(t)
-	ctx := context.Background()
-	_, err := svc.CreateAlertRule(ctx, model.AlertRule{
-		Name: "登录风暴", Enabled: true, Threshold: 3, WindowMinutes: 5, EventTypes: "InteractiveLogin",
-	})
-	if err != nil {
-		t.Fatalf("create rule: %v", err)
-	}
-	for i := 1; i <= 4; i++ {
-		mustIngest(t, svc, fmt.Sprint("login-", i),
-			auditEventPayload("InteractiveLogin", "user@x.com", "203.0.113.8"))
-	}
-	svc.parseOnce(ctx)
-	wait()
-
-	alerts := auditAlerts(rec.snapshot())
-	if len(alerts) != 1 {
-		t.Fatalf("窗口内 4 次命中应只告警 1 次(第 3 次触发后冷却),got %d 条: %v", len(alerts), alerts)
-	}
-	if !strings.Contains(alerts[0], "3 次") {
-		t.Errorf("告警文案应含累计次数,got %q", alerts[0])
-	}
-}
-
-// TestAlertRuleBadDataDoesNotBlockParse 验证规则表异常不影响解析主流程。
-func TestAlertRuleBadDataDoesNotBlockParse(t *testing.T) {
-	svc, db, _ := newLogEventEnv(t)
-	ctx := context.Background()
-	// 直插一条绕过校验的坏规则(IP 列表非法)
-	bad := model.AlertRule{Name: "bad", Enabled: true, Threshold: 1, SourceIPs: "not-an-ip"}
-	if err := db.Create(&bad).Error; err != nil {
-		t.Fatalf("insert bad rule: %v", err)
-	}
-	mustIngest(t, svc, "m1", auditEventPayload("TerminateInstance", "web-1", "1.2.3.4"))
-	svc.parseOnce(ctx)
-
-	var e model.LogEvent
-	if err := db.First(&e, "message_id = ?", "m1").Error; err != nil {
-		t.Fatalf("find event: %v", err)
-	}
-	if !e.Processed {
-		t.Fatal("坏规则不应阻塞事件解析")
-	}
-}
-
-// mustIngest 落一条回传事件,失败即终止测试。
-func mustIngest(t *testing.T, svc *LogEventService, msgID, payload string) {
-	t.Helper()
-	if err := svc.Ingest(context.Background(), 1, msgID, []byte(payload), false); err != nil {
-		t.Fatalf("ingest %s: %v", msgID, err)
-	}
-}
-
-// TestCleanupAlertHits 验证过期命中记录随清理删除。
-func TestCleanupAlertHits(t *testing.T) {
-	svc, db, _ := newLogEventEnv(t)
-	old := model.AlertRuleHit{RuleID: 1, HitAt: time.Now().Add(-8 * 24 * time.Hour)}
-	fresh := model.AlertRuleHit{RuleID: 1, HitAt: time.Now()}
-	if err := db.Create(&old).Error; err != nil {
-		t.Fatalf("insert: %v", err)
-	}
-	if err := db.Create(&fresh).Error; err != nil {
-		t.Fatalf("insert: %v", err)
-	}
-	svc.cleanupAlertHits(context.Background())
-	var count int64
-	db.Model(&model.AlertRuleHit{}).Count(&count)
-	if count != 1 {
-		t.Fatalf("清理后应剩 1 条,got %d", count)
-	}
-}
-
-func TestClearAlertCooldown(t *testing.T) {
-	svc := NewLogEventService(nil)
-	rule1 := model.AlertRule{ID: 1, Threshold: 2, WindowMinutes: 10}
-	rule2 := model.AlertRule{ID: 2, Threshold: 2, WindowMinutes: 10}
-	if !svc.alertCooldownPass(rule1) || !svc.alertCooldownPass(rule2) {
-		t.Fatal("首次命中应通过冷却检查")
-	}
-
-	svc.ClearAlertCooldown([]uint{rule1.ID})
-	if !svc.alertCooldownPass(rule1) {
-		t.Fatal("已清理规则应重新通过冷却检查")
-	}
-	if svc.alertCooldownPass(rule2) {
-		t.Fatal("未清理规则不应通过冷却检查")
-	}
-}
-
-func TestRecordAlertHitRejectsMissingRefs(t *testing.T) {
-	tests := []struct {
-		name       string
-		deleteRule bool
-	}{
-		{name: "规则已删除", deleteRule: true},
-		{name: "事件已删除"},
-	}
-	for _, tt := range tests {
-		t.Run(tt.name, func(t *testing.T) {
-			testRecordAlertHitMissingRef(t, tt.deleteRule)
-		})
-	}
-}
-
-func testRecordAlertHitMissingRef(t *testing.T, deleteRule bool) {
-	t.Helper()
-	svc, db, cfgID := newLogEventEnv(t)
-	rule := model.AlertRule{Name: "r", OciConfigID: cfgID, Threshold: 2, WindowMinutes: 5}
-	event := model.LogEvent{OciConfigID: cfgID, MessageID: "m"}
-	if err := db.Create(&rule).Error; err != nil {
-		t.Fatalf("create rule: %v", err)
-	}
-	if err := db.Create(&event).Error; err != nil {
-		t.Fatalf("create event: %v", err)
-	}
-	var err error
-	if deleteRule {
-		err = db.Delete(&rule).Error
-	} else {
-		err = db.Delete(&event).Error
-	}
-	if err != nil {
-		t.Fatalf("delete reference: %v", err)
-	}
-	if count, ok := svc.recordAlertHit(context.Background(), rule, &event); ok || count != 0 {
-		t.Fatalf("record missing refs = (%d,%v), want (0,false)", count, ok)
-	}
-	var hits int64
-	db.Model(&model.AlertRuleHit{}).Count(&hits)
-	if hits != 0 {
-		t.Fatalf("orphan alert hits = %d, want 0", hits)
-	}
-}
@@ -0,0 +1,528 @@
+package service
+
+import (
+	"encoding/json"
+	"fmt"
+	"strings"
+
+	"oci-portal/internal/aiwire"
+)
+
+// Anthropic Messages ↔ OCI OpenAI 兼容面(/actions/v1/responses)直通转换。
+// typed chat 面剔除后 Messages 入口的唯一上游通路。语义损失(README 已披露):
+// stop_sequences / top_k / metadata / thinking 无对应字段,忽略;上游 reasoning
+// 输出项与增量事件丢弃(Anthropic thinking 块含签名语义,不伪造)。
+
+// ErrAiUnsupportedBlock 表示请求含网关无法承接的内容块(仅支持文本/图片/工具块)。
+var ErrAiUnsupportedBlock = fmt.Errorf("暂不支持文本与图片以外的内容块")
+
+// AnthropicToResponsesBody 把 Messages 请求转为直通 body(强制 store:false)。
+func AnthropicToResponsesBody(req aiwire.MessagesRequest) ([]byte, error) {
+	input, err := anthInputItems(req.Messages)
+	if err != nil {
+		return nil, err
+	}
+	body := map[string]any{"model": req.Model, "max_output_tokens": req.MaxTokens,
+		"input": input, "store": false}
+	if sys := req.SystemText(); sys != "" {
+		body["instructions"] = sys
+	}
+	if req.Temperature != nil {
+		body["temperature"] = *req.Temperature
+	}
+	if req.TopP != nil {
+		body["top_p"] = *req.TopP
+	}
+	if tools := anthRespTools(req.Tools); tools != nil {
+		body["tools"] = tools
+	}
+	if tc := anthRespToolChoice(req.ToolChoice); tc != nil {
+		body["tool_choice"] = tc
+	}
+	if req.OutputConfig != nil && req.OutputConfig.Effort != "" {
+		body["reasoning"] = map[string]string{"effort": strings.ToLower(req.OutputConfig.Effort)}
+	}
+	if req.Stream {
+		body["stream"] = true
+	}
+	return json.Marshal(body)
+}
+
+// anthInputItems 把消息序列展开为 Responses input 项:tool_use / tool_result 为
+// 独立 function_call / function_call_output 项,其余聚合为 message 项;遇独立项时
+// 先冲刷已聚合部件,保持块间相对顺序。
+func anthInputItems(messages []aiwire.AnthMessage) ([]any, error) {
+	var items []any
+	for _, m := range messages {
+		var parts []map[string]any
+		flush := func() {
+			if len(parts) > 0 {
+				items = append(items, map[string]any{"role": m.Role, "content": parts})
+				parts = nil
+			}
+		}
+		for _, b := range m.Content.AllBlocks() {
+			item, part, err := anthBlockItem(m.Role, b)
+			if err != nil {
+				return nil, err
+			}
+			if part != nil {
+				parts = append(parts, part)
+			}
+			if item != nil {
+				flush()
+				items = append(items, item)
+			}
+		}
+		flush()
+	}
+	return items, nil
+}
+
+// anthBlockItem 把单个内容块转为独立项或消息部件(thinking 忽略,未知块拒绝)。
+func anthBlockItem(role string, b aiwire.AnthBlock) (item, part map[string]any, err error) {
+	switch b.Type {
+	case "text":
+		return nil, respTextPart(role, b.Text), nil
+	case "image":
+		part, err = anthImageInput(b.Source)
+		return nil, part, err
+	case "tool_use":
+		return map[string]any{"type": "function_call", "call_id": b.ID,
+			"name": b.Name, "arguments": string(b.Input)}, nil, nil
+	case "tool_result":
+		return map[string]any{"type": "function_call_output",
+			"call_id": b.ToolUseID, "output": b.ResultText()}, nil, nil
+	case "thinking", "redacted_thinking":
+		return nil, nil, nil
+	default:
+		return nil, nil, ErrAiUnsupportedBlock
+	}
+}
+
+// respTextPart 按角色选择 Responses 文本部件类型(assistant 历史为 output_text);
+// Anthropic 与 Chat Completions 两条转换链共用。
+func respTextPart(role, text string) map[string]any {
+	if role == "assistant" {
+		return map[string]any{"type": "output_text", "text": text}
+	}
+	return map[string]any{"type": "input_text", "text": text}
+}
+
+// anthImageInput 把 Anthropic image source 转为 Responses input_image 部件。
+func anthImageInput(source json.RawMessage) (map[string]any, error) {
+	var src struct {
+		Type      string `json:"type"`
+		MediaType string `json:"media_type"`
+		Data      string `json:"data"`
+		URL       string `json:"url"`
+	}
+	if err := json.Unmarshal(source, &src); err != nil {
+		return nil, fmt.Errorf("image source 解析失败: %w", err)
+	}
+	switch src.Type {
+	case "base64":
+		if src.MediaType == "" || src.Data == "" {
+			return nil, fmt.Errorf("image source 缺少 media_type 或 data")
+		}
+		return map[string]any{"type": "input_image",
+			"image_url": "data:" + src.MediaType + ";base64," + src.Data}, nil
+	case "url":
+		if src.URL == "" {
+			return nil, fmt.Errorf("image source 缺少 url")
+		}
+		return map[string]any{"type": "input_image", "image_url": src.URL}, nil
+	}
+	return nil, fmt.Errorf("不支持的 image source 类型 %q", src.Type)
+}
+
+func anthRespTools(tools []aiwire.AnthTool) []map[string]any {
+	if len(tools) == 0 {
+		return nil
+	}
+	out := make([]map[string]any, 0, len(tools))
+	for _, t := range tools {
+		out = append(out, map[string]any{"type": "function", "name": t.Name,
+			"description": t.Description, "parameters": t.InputSchema})
+	}
+	return out
+}
+
+// anthRespToolChoice 映射 {type:auto|any|tool|none,name} → Responses 形态。
+func anthRespToolChoice(raw json.RawMessage) any {
+	if len(raw) == 0 {
+		return nil
+	}
+	var tc struct {
+		Type string `json:"type"`
+		Name string `json:"name"`
+	}
+	if json.Unmarshal(raw, &tc) != nil {
+		return nil
+	}
+	switch tc.Type {
+	case "auto":
+		return "auto"
+	case "any":
+		return "required"
+	case "none":
+		return "none"
+	case "tool":
+		return map[string]string{"type": "function", "name": tc.Name}
+	}
+	return nil
+}
+
+// respPayload 是直通响应中本转换关心的子集(未知字段忽略)。
+type respPayload struct {
+	Model             string             `json:"model"`
+	Status            string             `json:"status"`
+	IncompleteDetails *respIncomplete    `json:"incomplete_details"`
+	Output            []respOutputItem   `json:"output"`
+	Usage             *aiwire.RespUsage  `json:"usage"`
+	Error             *map[string]string `json:"error"`
+}
+
+type respIncomplete struct {
+	Reason string `json:"reason"`
+}
+
+type respOutputItem struct {
+	Type      string `json:"type"`
+	CallID    string `json:"call_id"`
+	Name      string `json:"name"`
+	Arguments string `json:"arguments"`
+	Content   []struct {
+		Type string `json:"type"`
+		Text string `json:"text"`
+	} `json:"content"`
+}
+
+// ResponsesToAnthropic 把直通非流式响应转为 Anthropic Messages 响应。
+func ResponsesToAnthropic(payload []byte, msgID string) (*aiwire.MessagesResponse, error) {
+	var resp respPayload
+	if err := json.Unmarshal(payload, &resp); err != nil {
+		return nil, fmt.Errorf("解析上游响应: %w", err)
+	}
+	out := &aiwire.MessagesResponse{ID: msgID, Type: "message", Role: "assistant",
+		Model: resp.Model, Content: []aiwire.AnthBlock{}, StopReason: "end_turn"}
+	for _, item := range resp.Output {
+		switch item.Type {
+		case "message":
+			for _, part := range item.Content {
+				if part.Type == "output_text" && part.Text != "" {
+					out.Content = append(out.Content, aiwire.AnthBlock{Type: "text", Text: part.Text})
+				}
+			}
+		case "function_call":
+			out.Content = append(out.Content, aiwire.AnthBlock{Type: "tool_use", ID: item.CallID,
+				Name: item.Name, Input: argsToJSON(item.Arguments)})
+			out.StopReason = "tool_use"
+		}
+	}
+	if respTruncated(&resp) {
+		out.StopReason = "max_tokens"
+	}
+	out.Usage = anthUsageFromResp(resp.Usage)
+	return out, nil
+}
+
+func anthUsageFromResp(u *aiwire.RespUsage) aiwire.AnthUsage {
+	if u == nil {
+		return aiwire.AnthUsage{}
+	}
+	return aiwire.AnthUsage{InputTokens: u.InputTokens, OutputTokens: u.OutputTokens,
+		CacheReadInputTokens: u.InputTokensDetails.CachedTokens}
+}
+
+// argsToJSON 保证 tool_use.input 是合法 JSON 对象(模型可能产出非法片段)。
+func argsToJSON(args string) json.RawMessage {
+	trimmed := strings.TrimSpace(args)
+	if trimmed == "" {
+		return json.RawMessage(`{}`)
+	}
+	if json.Valid([]byte(trimmed)) {
+		return json.RawMessage(trimmed)
+	}
+	b, _ := json.Marshal(map[string]string{"_raw": args})
+	return b
+}
+
+// ---- Anthropic 流式桥:Responses SSE 事件 → Anthropic 事件序列 ----
+
+// AnthEvent 是一条待写出的 Anthropic SSE 事件。
+type AnthEvent struct {
+	Event string
+	Data  any
+}
+
+// AnthRespBridge 把直通 SSE 事件流桥接为 Anthropic 事件序列:
+// message_start → content_block_start/delta/stop(text 与 tool_use 分块)→ message_delta → message_stop。
+// reasoning 系列事件丢弃;上游 error / response.failed 转 Anthropic error 事件透传。
+type AnthRespBridge struct {
+	id, model   string
+	started     bool
+	blockOpen   bool
+	blockIsTool bool
+	blockIndex  int
+	stopReason  string
+	usage       aiwire.AnthUsage
+	// sawTerminal 标记收到过终态事件(completed/incomplete/failed);
+	// 上游流提前 EOF 时据此发 error 事件而非伪装正常结束
+	sawTerminal bool
+	// errMsg 记录上游错误消息,非空即本流已失败(供调用日志)
+	errMsg string
+}
+
+// NewAnthRespBridge 构造桥;id 为响应消息 ID。
+func NewAnthRespBridge(id, model string) *AnthRespBridge {
+	return &AnthRespBridge{id: id, model: model, blockIndex: -1, stopReason: "end_turn"}
+}
+
+// respStreamEvent 是直通 SSE data JSON 中桥关心的子集。
+type respStreamEvent struct {
+	Type     string          `json:"type"`
+	Delta    string          `json:"delta"`
+	Message  string          `json:"message"`
+	Item     *respOutputItem `json:"item"`
+	Response *respPayload    `json:"response"`
+}
+
+// Feed 消费一行 SSE data JSON,返回应立即写出的事件。
+func (st *AnthRespBridge) Feed(data []byte) []AnthEvent {
+	var ev respStreamEvent
+	if json.Unmarshal(data, &ev) != nil {
+		return nil
+	}
+	if ev.Type == "error" || ev.Type == "response.failed" {
+		return st.failWith(ev)
+	}
+	// message_start 延迟到首个可见输出事件:created / reasoning 阶段不向客户端
+	// 写任何字节,上游此段断流时 handler 才有降级非流式重做的无感窗口
+	var events []AnthEvent
+	switch ev.Type {
+	case "response.output_item.added":
+		if ev.Item != nil && ev.Item.Type == "function_call" {
+			events = append(events, st.ensureStarted()...)
+			events = append(events, st.openBlock(true, ev.Item.CallID, ev.Item.Name)...)
+			st.stopReason = "tool_use"
+		}
+	case "response.output_text.delta":
+		events = append(events, st.ensureStarted()...)
+		events = append(events, st.textDelta(ev.Delta)...)
+	case "response.function_call_arguments.delta":
+		events = append(events, st.argsDelta(ev.Delta)...)
+	case "response.completed", "response.incomplete":
+		st.sawTerminal = true
+		st.finishFrom(ev.Response)
+	}
+	return events
+}
+
+// ensureStarted 在首个可见输出事件前补发 message_start(仅一次)。
+func (st *AnthRespBridge) ensureStarted() []AnthEvent {
+	if st.started {
+		return nil
+	}
+	st.started = true
+	return []AnthEvent{st.startEvent()}
+}
+
+// failWith 记录上游错误并产出 Anthropic error 事件(每流至多一次)。
+func (st *AnthRespBridge) failWith(ev respStreamEvent) []AnthEvent {
+	if st.errMsg != "" {
+		return nil
+	}
+	st.sawTerminal = true
+	msg := ev.Message
+	if ev.Type == "response.failed" {
+		st.finishFrom(ev.Response)
+		if m := respErrorMsg(ev.Response); m != "" {
+			msg = m
+		}
+	}
+	if msg == "" {
+		msg = "上游返回错误事件 " + ev.Type
+	}
+	st.errMsg = msg
+	return []AnthEvent{st.errorEvent()}
+}
+
+// respErrorMsg 提取 response.failed 载荷中的错误消息。
+func respErrorMsg(resp *respPayload) string {
+	if resp == nil || resp.Error == nil {
+		return ""
+	}
+	return (*resp.Error)["message"]
+}
+
+// errorEvent 按 Anthropic 流式协议产出 error 事件。
+func (st *AnthRespBridge) errorEvent() AnthEvent {
+	return AnthEvent{Event: "error", Data: map[string]any{
+		"type":  "error",
+		"error": map[string]string{"type": "api_error", "message": st.errMsg},
+	}}
+}
+
+// Err 返回上游错误消息;空串表示流正常(供调用日志)。
+func (st *AnthRespBridge) Err() string { return st.errMsg }
+
+// SawTerminal 报告是否收到过终态事件;false 即上游流提前终止。
+func (st *AnthRespBridge) SawTerminal() bool { return st.sawTerminal }
+
+// AnthMessageEvents 把完整 Messages 响应展开为标准事件序列,
+// 供流式上游断流后的非流式降级结果推送(客户端协议不变)。
+func AnthMessageEvents(m *aiwire.MessagesResponse) []AnthEvent {
+	events := []AnthEvent{{Event: "message_start", Data: map[string]any{
+		"type": "message_start",
+		"message": map[string]any{
+			"id": m.ID, "type": "message", "role": m.Role, "model": m.Model,
+			"content": []any{}, "stop_reason": nil,
+			"usage": map[string]int{"input_tokens": 0, "output_tokens": 0},
+		},
+	}}}
+	for i, b := range m.Content {
+		events = append(events, anthBlockEvents(i, b)...)
+	}
+	usage := map[string]int{"input_tokens": m.Usage.InputTokens, "output_tokens": m.Usage.OutputTokens}
+	if m.Usage.CacheReadInputTokens > 0 {
+		usage["cache_read_input_tokens"] = m.Usage.CacheReadInputTokens
+	}
+	events = append(events,
+		AnthEvent{Event: "message_delta", Data: map[string]any{
+			"type":  "message_delta",
+			"delta": map[string]any{"stop_reason": m.StopReason, "stop_sequence": nil},
+			"usage": usage,
+		}},
+		AnthEvent{Event: "message_stop", Data: map[string]any{"type": "message_stop"}})
+	return events
+}
+
+// anthBlockEvents 把一个内容块展开为 start / delta / stop 三事件。
+func anthBlockEvents(index int, b aiwire.AnthBlock) []AnthEvent {
+	var start, delta map[string]any
+	if b.Type == "tool_use" {
+		start = map[string]any{"type": "tool_use", "id": b.ID, "name": b.Name, "input": map[string]any{}}
+		delta = map[string]any{"type": "input_json_delta", "partial_json": string(b.Input)}
+	} else {
+		start = map[string]any{"type": "text", "text": ""}
+		delta = map[string]any{"type": "text_delta", "text": b.Text}
+	}
+	return []AnthEvent{
+		{Event: "content_block_start", Data: map[string]any{
+			"type": "content_block_start", "index": index, "content_block": start}},
+		{Event: "content_block_delta", Data: map[string]any{
+			"type": "content_block_delta", "index": index, "delta": delta}},
+		{Event: "content_block_stop", Data: map[string]any{
+			"type": "content_block_stop", "index": index}},
+	}
+}
+
+func (st *AnthRespBridge) textDelta(delta string) []AnthEvent {
+	var events []AnthEvent
+	if !st.blockOpen || st.blockIsTool {
+		events = append(events, st.openBlock(false, "", "")...)
+	}
+	events = append(events, AnthEvent{Event: "content_block_delta", Data: map[string]any{
+		"type": "content_block_delta", "index": st.blockIndex,
+		"delta": map[string]string{"type": "text_delta", "text": delta},
+	}})
+	return events
+}
+
+func (st *AnthRespBridge) argsDelta(delta string) []AnthEvent {
+	if !st.blockOpen || !st.blockIsTool {
+		return nil
+	}
+	return []AnthEvent{{Event: "content_block_delta", Data: map[string]any{
+		"type": "content_block_delta", "index": st.blockIndex,
+		"delta": map[string]string{"type": "input_json_delta", "partial_json": delta},
+	}}}
+}
+
+// finishFrom 记录终态:usage 与 stop_reason(max_output_tokens 截断 → max_tokens)。
+func (st *AnthRespBridge) finishFrom(resp *respPayload) {
+	if resp == nil {
+		return
+	}
+	st.usage = anthUsageFromResp(resp.Usage)
+	if respTruncated(resp) {
+		st.stopReason = "max_tokens"
+	}
+}
+
+func (st *AnthRespBridge) startEvent() AnthEvent {
+	return AnthEvent{Event: "message_start", Data: map[string]any{
+		"type": "message_start",
+		"message": map[string]any{
+			"id": st.id, "type": "message", "role": "assistant", "model": st.model,
+			"content": []any{}, "stop_reason": nil,
+			"usage": map[string]int{"input_tokens": 0, "output_tokens": 0},
+		},
+	}}
+}
+
+// openBlock 关闭当前块并打开新块(text 或 tool_use)。
+func (st *AnthRespBridge) openBlock(isTool bool, toolID, toolName string) []AnthEvent {
+	var events []AnthEvent
+	if st.blockOpen {
+		events = append(events, st.closeBlockEvent())
+	}
+	st.blockOpen, st.blockIsTool = true, isTool
+	st.blockIndex++
+	block := map[string]any{"type": "text", "text": ""}
+	if isTool {
+		block = map[string]any{"type": "tool_use", "id": toolID, "name": toolName, "input": map[string]any{}}
+	}
+	events = append(events, AnthEvent{Event: "content_block_start", Data: map[string]any{
+		"type": "content_block_start", "index": st.blockIndex, "content_block": block,
+	}})
+	return events
+}
+
+func (st *AnthRespBridge) closeBlockEvent() AnthEvent {
+	return AnthEvent{Event: "content_block_stop", Data: map[string]any{
+		"type": "content_block_stop", "index": st.blockIndex,
+	}}
+}
+
+// Finish 在上游流结束后收尾:关块 → message_delta(stop_reason+usage)→ message_stop。
+// 已发过 error 事件的流不再补终态;未见终态事件即 EOF 视为上游提前终止,
+// 发 error 事件而非伪装正常结束(否则客户端拿到"成功的空消息")。
+func (st *AnthRespBridge) Finish() []AnthEvent {
+	if st.errMsg != "" {
+		return nil
+	}
+	if !st.sawTerminal {
+		st.errMsg = "上游流提前终止,未返回终态事件"
+		return []AnthEvent{st.errorEvent()}
+	}
+	var events []AnthEvent
+	if !st.started {
+		st.started = true
+		events = append(events, st.startEvent())
+	}
+	if st.blockOpen {
+		events = append(events, st.closeBlockEvent())
+		st.blockOpen = false
+	}
+	usage := map[string]int{"output_tokens": st.usage.OutputTokens}
+	if st.usage.InputTokens > 0 {
+		usage["input_tokens"] = st.usage.InputTokens
+	}
+	if st.usage.CacheReadInputTokens > 0 {
+		usage["cache_read_input_tokens"] = st.usage.CacheReadInputTokens
+	}
+	events = append(events,
+		AnthEvent{Event: "message_delta", Data: map[string]any{
+			"type":  "message_delta",
+			"delta": map[string]any{"stop_reason": st.stopReason, "stop_sequence": nil},
+			"usage": usage,
+		}},
+		AnthEvent{Event: "message_stop", Data: map[string]any{"type": "message_stop"}},
+	)
+	return events
+}
+
+// Usage 返回聚合到的用量(供调用日志)。
+func (st *AnthRespBridge) Usage() aiwire.AnthUsage { return st.usage }
@@ -0,0 +1,268 @@
+package service
+
+import (
+	"encoding/json"
+	"strings"
+	"testing"
+
+	"oci-portal/internal/aiwire"
+)
+
+func mustAnthReq(t *testing.T, raw string) aiwire.MessagesRequest {
+	t.Helper()
+	var req aiwire.MessagesRequest
+	if err := json.Unmarshal([]byte(raw), &req); err != nil {
+		t.Fatalf("解析请求: %v", err)
+	}
+	return req
+}
+
+// TestAnthropicToResponsesBody 断言 system/消息/工具/effort 的直通装配与 store 强制。
+func TestAnthropicToResponsesBody(t *testing.T) {
+	req := mustAnthReq(t, `{
+		"model": "xai.grok-4.3", "max_tokens": 128, "system": "你是助手", "stream": true,
+		"temperature": 0.5,
+		"messages": [
+			{"role": "user", "content": "东京天气?"},
+			{"role": "assistant", "content": [
+				{"type": "text", "text": "查询中"},
+				{"type": "tool_use", "id": "t1", "name": "get_weather", "input": {"city": "东京"}}
+			]},
+			{"role": "user", "content": [
+				{"type": "tool_result", "tool_use_id": "t1", "content": "晴 25 度"},
+				{"type": "text", "text": "继续"}
+			]}
+		],
+		"tools": [{"name": "get_weather", "description": "查天气", "input_schema": {"type": "object"}}],
+		"tool_choice": {"type": "any"},
+		"output_config": {"effort": "HIGH"}
+	}`)
+	payload, err := AnthropicToResponsesBody(req)
+	if err != nil {
+		t.Fatalf("AnthropicToResponsesBody: %v", err)
+	}
+	var body map[string]any
+	if err := json.Unmarshal(payload, &body); err != nil {
+		t.Fatalf("unmarshal: %v", err)
+	}
+	if body["model"] != "xai.grok-4.3" || body["max_output_tokens"] != float64(128) ||
+		body["instructions"] != "你是助手" || body["store"] != false || body["stream"] != true {
+		t.Fatalf("顶层字段装配错误: %v", body)
+	}
+	if body["tool_choice"] != "required" {
+		t.Fatalf("tool_choice = %v, want required", body["tool_choice"])
+	}
+	reasoning, _ := body["reasoning"].(map[string]any)
+	if reasoning["effort"] != "high" {
+		t.Fatalf("effort = %v, want high(小写透传)", reasoning)
+	}
+	input, _ := body["input"].([]any)
+	// user 消息、assistant 文本消息、function_call、function_call_output、末条 user 文本
+	if len(input) != 5 {
+		t.Fatalf("input 项数 = %d, want 5: %s", len(input), payload)
+	}
+	kinds := make([]string, 0, len(input))
+	for _, it := range input {
+		m := it.(map[string]any)
+		if ty, ok := m["type"].(string); ok {
+			kinds = append(kinds, ty)
+		} else {
+			kinds = append(kinds, "message/"+m["role"].(string))
+		}
+	}
+	want := "message/user,message/assistant,function_call,function_call_output,message/user"
+	if got := strings.Join(kinds, ","); got != want {
+		t.Fatalf("input 顺序 = %s, want %s", got, want)
+	}
+	if !strings.Contains(string(payload), `"output_text"`) {
+		t.Fatalf("assistant 历史文本应为 output_text 部件: %s", payload)
+	}
+}
+
+// TestAnthropicToResponsesBodyRejects 断言不支持的内容块拒绝与图片装配。
+func TestAnthropicToResponsesBodyRejects(t *testing.T) {
+	bad := mustAnthReq(t, `{"model":"m","max_tokens":8,"messages":[
+		{"role":"user","content":[{"type":"document","source":{}}]}]}`)
+	if _, err := AnthropicToResponsesBody(bad); err == nil {
+		t.Fatal("document 块应拒绝")
+	}
+	img := mustAnthReq(t, `{"model":"m","max_tokens":8,"messages":[
+		{"role":"user","content":[{"type":"image","source":{"type":"base64","media_type":"image/png","data":"QUJD"}}]}]}`)
+	payload, err := AnthropicToResponsesBody(img)
+	if err != nil || !strings.Contains(string(payload), "data:image/png;base64,QUJD") {
+		t.Fatalf("图片应转 data URI: %v %s", err, payload)
+	}
+}
+
+// TestResponsesToAnthropic 断言输出块、stop_reason 与 usage 的回转。
+func TestResponsesToAnthropic(t *testing.T) {
+	payload := []byte(`{"model":"xai.grok-4.3","status":"completed","output":[
+		{"type":"reasoning","summary":[]},
+		{"type":"message","content":[{"type":"output_text","text":"你好"}]},
+		{"type":"function_call","call_id":"c1","name":"get_weather","arguments":"{\"city\":\"东京\"}"}],
+		"usage":{"input_tokens":10,"output_tokens":5,"total_tokens":15,"input_tokens_details":{"cached_tokens":4}}}`)
+	out, err := ResponsesToAnthropic(payload, "msg_1")
+	if err != nil {
+		t.Fatalf("ResponsesToAnthropic: %v", err)
+	}
+	if len(out.Content) != 2 || out.Content[0].Type != "text" || out.Content[0].Text != "你好" {
+		t.Fatalf("content 装配错误: %+v", out.Content)
+	}
+	if out.Content[1].Type != "tool_use" || out.Content[1].ID != "c1" || string(out.Content[1].Input) != `{"city":"东京"}` {
+		t.Fatalf("tool_use 装配错误: %+v", out.Content[1])
+	}
+	if out.StopReason != "tool_use" {
+		t.Fatalf("stop_reason = %s, want tool_use", out.StopReason)
+	}
+	if out.Usage.InputTokens != 10 || out.Usage.OutputTokens != 5 || out.Usage.CacheReadInputTokens != 4 {
+		t.Fatalf("usage = %+v", out.Usage)
+	}
+
+	trunc := []byte(`{"model":"m","status":"incomplete","incomplete_details":{"reason":"max_output_tokens"},
+		"output":[{"type":"message","content":[{"type":"output_text","text":"半"}]}]}`)
+	out2, err := ResponsesToAnthropic(trunc, "msg_2")
+	if err != nil || out2.StopReason != "max_tokens" {
+		t.Fatalf("截断 stop_reason = %v, %v", out2, err)
+	}
+}
+
+func bridgeEventTypes(events []AnthEvent) string {
+	kinds := make([]string, 0, len(events))
+	for _, ev := range events {
+		kinds = append(kinds, ev.Event)
+	}
+	return strings.Join(kinds, ",")
+}
+
+// TestAnthRespBridge 断言流桥:文本增量、工具调用切块、reasoning 丢弃与收尾事件。
+func TestAnthRespBridge(t *testing.T) {
+	st := NewAnthRespBridge("msg_1", "m1")
+	var events []AnthEvent
+	feed := func(lines ...string) {
+		for _, l := range lines {
+			events = append(events, st.Feed([]byte(l))...)
+		}
+	}
+	feed(`{"type":"response.created","response":{"model":"m1"}}`,
+		`{"type":"response.reasoning_text.delta","delta":"思考中"}`,
+		`{"type":"response.output_text.delta","delta":"你"}`,
+		`{"type":"response.output_text.delta","delta":"好"}`,
+		`{"type":"response.output_item.added","item":{"type":"function_call","call_id":"c1","name":"f"}}`,
+		`{"type":"response.function_call_arguments.delta","delta":"{\"a\":1}"}`,
+		`{"type":"response.completed","response":{"status":"completed","usage":{"input_tokens":8,"output_tokens":4}}}`)
+	events = append(events, st.Finish()...)
+
+	got := bridgeEventTypes(events)
+	want := "message_start,content_block_start,content_block_delta,content_block_delta," +
+		"content_block_stop,content_block_start,content_block_delta,content_block_stop," +
+		"message_delta,message_stop"
+	if got != want {
+		t.Fatalf("事件序列:\n got %s\nwant %s", got, want)
+	}
+	if st.Usage().InputTokens != 8 || st.Usage().OutputTokens != 4 {
+		t.Fatalf("usage = %+v", st.Usage())
+	}
+}
+
+// TestAnthRespBridgeFailure 断言异常流的错误透传:上游 error / response.failed
+// 事件转 Anthropic error 事件,提前 EOF(未见终态)不再伪装正常结束。
+func TestAnthRespBridgeFailure(t *testing.T) {
+	cases := []struct {
+		name      string
+		lines     []string
+		wantKinds string
+		wantErr   string
+	}{
+		{
+			name:      "上游 error 事件透传",
+			lines:     []string{`{"type":"error","message":"model overloaded"}`},
+			wantKinds: "error",
+			wantErr:   "model overloaded",
+		},
+		{
+			name: "response.failed 提取错误消息",
+			lines: []string{
+				`{"type":"response.output_text.delta","delta":"你"}`,
+				`{"type":"response.failed","response":{"status":"failed","error":{"message":"content filtered"}}}`,
+			},
+			wantKinds: "message_start,content_block_start,content_block_delta,error",
+			wantErr:   "content filtered",
+		},
+		{
+			name:      "空流提前终止",
+			lines:     nil,
+			wantKinds: "error",
+			wantErr:   "上游流提前终止,未返回终态事件",
+		},
+		{
+			name: "输出中途 EOF 无终态",
+			lines: []string{
+				`{"type":"response.output_text.delta","delta":"你"}`,
+			},
+			wantKinds: "message_start,content_block_start,content_block_delta,error",
+			wantErr:   "上游流提前终止,未返回终态事件",
+		},
+	}
+	for _, tc := range cases {
+		t.Run(tc.name, func(t *testing.T) {
+			st := NewAnthRespBridge("msg_1", "m1")
+			var events []AnthEvent
+			for _, l := range tc.lines {
+				events = append(events, st.Feed([]byte(l))...)
+			}
+			events = append(events, st.Finish()...)
+			if got := bridgeEventTypes(events); got != tc.wantKinds {
+				t.Fatalf("事件序列 = %s, want %s", got, tc.wantKinds)
+			}
+			if st.Err() != tc.wantErr {
+				t.Fatalf("Err() = %q, want %q", st.Err(), tc.wantErr)
+			}
+		})
+	}
+}
+
+// TestRespStreamErrorMsg 断言直通流错误事件消息提取。
+func TestRespStreamErrorMsg(t *testing.T) {
+	cases := []struct {
+		name string
+		data string
+		want string
+	}{
+		{name: "error 事件", data: `{"type":"error","message":"boom"}`, want: "boom"},
+		{name: "error 无消息用占位", data: `{"type":"error"}`, want: "上游返回错误事件 error"},
+		{name: "failed 事件", data: `{"type":"response.failed","response":{"error":{"message":"bad"}}}`, want: "bad"},
+		{name: "正常事件返回空", data: `{"type":"response.completed","response":{}}`, want: ""},
+		{name: "非 JSON 返回空", data: `<html>`, want: ""},
+	}
+	for _, tc := range cases {
+		t.Run(tc.name, func(t *testing.T) {
+			if got := RespStreamErrorMsg([]byte(tc.data)); got != tc.want {
+				t.Fatalf("RespStreamErrorMsg = %q, want %q", got, tc.want)
+			}
+		})
+	}
+}
+
+// TestAnthMessageEvents 断言非流式降级结果展开的事件序列与 usage。
+func TestAnthMessageEvents(t *testing.T) {
+	msg := &aiwire.MessagesResponse{
+		ID: "msg_1", Type: "message", Role: "assistant", Model: "m1",
+		Content: []aiwire.AnthBlock{
+			{Type: "text", Text: "好"},
+			{Type: "tool_use", ID: "c1", Name: "f", Input: json.RawMessage(`{"a":1}`)},
+		},
+		StopReason: "tool_use",
+		Usage:      aiwire.AnthUsage{InputTokens: 9, OutputTokens: 3, CacheReadInputTokens: 5},
+	}
+	events := AnthMessageEvents(msg)
+	want := "message_start,content_block_start,content_block_delta,content_block_stop," +
+		"content_block_start,content_block_delta,content_block_stop,message_delta,message_stop"
+	if got := bridgeEventTypes(events); got != want {
+		t.Fatalf("事件序列:\n got %s\nwant %s", got, want)
+	}
+	delta := events[len(events)-2].Data.(map[string]any)
+	usage := delta["usage"].(map[string]int)
+	if usage["input_tokens"] != 9 || usage["output_tokens"] != 3 || usage["cache_read_input_tokens"] != 5 {
+		t.Fatalf("usage = %+v", usage)
+	}
+}
@@ -0,0 +1,389 @@
+package service
+
+import (
+	"encoding/json"
+	"fmt"
+	"strings"
+
+	"oci-portal/internal/aiwire"
+)
+
+// OpenAI Chat Completions ↔ OCI OpenAI 兼容面(/actions/v1/responses)直通转换。
+// 端点定位 Tier 2 兼容层(承接只会说 CC 的存量客户端),机制与 anthresponses.go
+// 同构。语义损失(README 披露):stop / seed / n / penalty 等无对应字段,忽略;
+// 上游 reasoning 输出项与增量事件丢弃;非 function 工具类型拒绝。
+
+// ChatToResponsesBody 把 Chat Completions 请求转为直通 body(强制 store:false)。
+func ChatToResponsesBody(req aiwire.ChatRequest) ([]byte, error) {
+	input, instructions, err := chatInputItems(req.Messages)
+	if err != nil {
+		return nil, err
+	}
+	body := map[string]any{"model": req.Model, "input": input, "store": false}
+	if instructions != "" {
+		body["instructions"] = instructions
+	}
+	chatSampling(body, req)
+	if err := chatBodyTools(body, req); err != nil {
+		return nil, err
+	}
+	if tf := chatTextFormat(req.ResponseFormat); tf != nil {
+		body["text"] = map[string]any{"format": tf}
+	}
+	if req.ReasoningEffort != "" {
+		body["reasoning"] = map[string]string{"effort": strings.ToLower(req.ReasoningEffort)}
+	}
+	if req.Stream {
+		body["stream"] = true
+	}
+	return json.Marshal(body)
+}
+
+// chatSampling 装配采样与输出预算;max_completion_tokens 优先于已弃用的 max_tokens。
+func chatSampling(body map[string]any, req aiwire.ChatRequest) {
+	if req.MaxCompletionTokens != nil {
+		body["max_output_tokens"] = *req.MaxCompletionTokens
+	} else if req.MaxTokens != nil {
+		body["max_output_tokens"] = *req.MaxTokens
+	}
+	if req.Temperature != nil {
+		body["temperature"] = *req.Temperature
+	}
+	if req.TopP != nil {
+		body["top_p"] = *req.TopP
+	}
+	if req.ParallelToolCalls != nil {
+		body["parallel_tool_calls"] = *req.ParallelToolCalls
+	}
+}
+
+// chatBodyTools 装配工具与 tool_choice;非 function 工具类型拒绝
+// (web_search 等新能力仅在 Responses / Messages 端点供给)。
+func chatBodyTools(body map[string]any, req aiwire.ChatRequest) error {
+	if len(req.Tools) == 0 {
+		return nil
+	}
+	tools := make([]map[string]any, 0, len(req.Tools))
+	for _, t := range req.Tools {
+		if t.Type != "function" {
+			return fmt.Errorf("不支持的工具类型 %q:该端点仅支持 function 工具", t.Type)
+		}
+		tools = append(tools, map[string]any{"type": "function", "name": t.Function.Name,
+			"description": t.Function.Description, "parameters": t.Function.Parameters})
+	}
+	body["tools"] = tools
+	if tc := chatRespToolChoice(req.ToolChoice); tc != nil {
+		body["tool_choice"] = tc
+	}
+	return nil
+}
+
+// chatInputItems 把消息序列展开为 Responses input 项与 instructions:
+// system/developer 文本聚为 instructions;tool 消息为 function_call_output 项;
+// 其余消息经 chatMessageItems 展开,保持相对顺序。
+func chatInputItems(messages []aiwire.ChatMessage) ([]any, string, error) {
+	items := make([]any, 0, len(messages))
+	var sys []string
+	for _, m := range messages {
+		switch m.Role {
+		case "system", "developer":
+			if txt := m.Content.JoinText(); txt != "" {
+				sys = append(sys, txt)
+			}
+		case "tool":
+			items = append(items, map[string]any{"type": "function_call_output",
+				"call_id": m.ToolCallID, "output": m.Content.JoinText()})
+		default:
+			msgItems, err := chatMessageItems(m)
+			if err != nil {
+				return nil, "", err
+			}
+			items = append(items, msgItems...)
+		}
+	}
+	return items, strings.Join(sys, "\n\n"), nil
+}
+
+// chatMessageItems 把 user/assistant 消息转为 message 项;assistant 的
+// tool_calls 追加为独立 function_call 项(内容在前,与原语序一致)。
+func chatMessageItems(m aiwire.ChatMessage) ([]any, error) {
+	parts, err := chatContentParts(m.Role, m.Content)
+	if err != nil {
+		return nil, err
+	}
+	items := make([]any, 0, 1+len(m.ToolCalls))
+	if len(parts) > 0 {
+		items = append(items, map[string]any{"role": m.Role, "content": parts})
+	}
+	for _, tc := range m.ToolCalls {
+		items = append(items, map[string]any{"type": "function_call", "call_id": tc.ID,
+			"name": tc.Function.Name, "arguments": tc.Function.Arguments})
+	}
+	return items, nil
+}
+
+// chatContentParts 把消息内容转为 Responses 部件(文本按角色定型,图片转 input_image)。
+func chatContentParts(role string, c aiwire.Content) ([]map[string]any, error) {
+	if !c.IsArray {
+		if c.Text == "" {
+			return nil, nil
+		}
+		return []map[string]any{respTextPart(role, c.Text)}, nil
+	}
+	parts := make([]map[string]any, 0, len(c.Parts))
+	for _, p := range c.Parts {
+		switch p.Type {
+		case "", "text":
+			parts = append(parts, respTextPart(role, p.Text))
+		case "image_url":
+			if p.ImageURL == nil || p.ImageURL.URL == "" {
+				return nil, fmt.Errorf("image_url 块缺少 url")
+			}
+			// detail 不透传:兼容面对该字段的支持无法证实(实测期间上游视觉请求不稳,
+			// 无从归因),它仅是质量提示,忽略合法且消除一个风险轴(README 披露)
+			parts = append(parts, map[string]any{"type": "input_image", "image_url": p.ImageURL.URL})
+		default:
+			return nil, ErrAiUnsupportedBlock
+		}
+	}
+	return parts, nil
+}
+
+// chatRespToolChoice 映射 tool_choice:string 形态(auto/none/required)原样;
+// {"type":"function","function":{"name":N}} 拍平为 Responses 具名形态;其余忽略。
+func chatRespToolChoice(raw json.RawMessage) any {
+	if len(raw) == 0 {
+		return nil
+	}
+	var s string
+	if json.Unmarshal(raw, &s) == nil {
+		switch s {
+		case "auto", "none", "required":
+			return s
+		}
+		return nil
+	}
+	var tc struct {
+		Type     string `json:"type"`
+		Function struct {
+			Name string `json:"name"`
+		} `json:"function"`
+	}
+	if json.Unmarshal(raw, &tc) != nil || tc.Type != "function" || tc.Function.Name == "" {
+		return nil
+	}
+	return map[string]string{"type": "function", "name": tc.Function.Name}
+}
+
+// chatTextFormat 把 response_format 拍平为 text.format(json_schema 提升嵌套字段)。
+func chatTextFormat(rf *aiwire.ResponseFormat) map[string]any {
+	if rf == nil || rf.Type == "" || rf.Type == "text" {
+		return nil
+	}
+	format := map[string]any{"type": rf.Type}
+	if rf.Type != "json_schema" || len(rf.JSONSchema) == 0 {
+		return format
+	}
+	var js struct {
+		Name   string          `json:"name"`
+		Schema json.RawMessage `json:"schema"`
+		Strict *bool           `json:"strict"`
+	}
+	if json.Unmarshal(rf.JSONSchema, &js) != nil {
+		return format
+	}
+	if js.Name != "" {
+		format["name"] = js.Name
+	}
+	if len(js.Schema) > 0 {
+		format["schema"] = js.Schema
+	}
+	if js.Strict != nil {
+		format["strict"] = *js.Strict
+	}
+	return format
+}
+
+// ResponsesToChat 把直通非流式响应转为 Chat Completions 响应(reasoning 项丢弃)。
+func ResponsesToChat(payload []byte, id string, created int64) (*aiwire.ChatResponse, error) {
+	var resp respPayload
+	if err := json.Unmarshal(payload, &resp); err != nil {
+		return nil, fmt.Errorf("解析上游响应: %w", err)
+	}
+	msg := aiwire.ChatMessage{Role: "assistant"}
+	var text strings.Builder
+	for _, item := range resp.Output {
+		switch item.Type {
+		case "message":
+			for _, part := range item.Content {
+				if part.Type == "output_text" {
+					text.WriteString(part.Text)
+				}
+			}
+		case "function_call":
+			msg.ToolCalls = append(msg.ToolCalls, aiwire.ToolCall{ID: item.CallID, Type: "function",
+				Function: aiwire.FunctionCall{Name: item.Name, Arguments: item.Arguments}})
+		}
+	}
+	msg.Content = aiwire.NewTextContent(text.String())
+	choice := aiwire.Choice{Index: 0, Message: msg,
+		FinishReason: chatFinishReason(&resp, len(msg.ToolCalls) > 0)}
+	return &aiwire.ChatResponse{ID: id, Object: "chat.completion", Created: created,
+		Model: resp.Model, Choices: []aiwire.Choice{choice}, Usage: usageFromResp(resp.Usage)}, nil
+}
+
+// chatFinishReason 映射终态:截断优先 → length;含工具调用 → tool_calls;默认 stop。
+func chatFinishReason(resp *respPayload, hasTools bool) string {
+	if respTruncated(resp) {
+		return "length"
+	}
+	if hasTools {
+		return "tool_calls"
+	}
+	return "stop"
+}
+
+// respTruncated 报告直通响应是否因 max_output_tokens 截断。
+func respTruncated(resp *respPayload) bool {
+	return resp != nil && resp.Status == "incomplete" && resp.IncompleteDetails != nil &&
+		resp.IncompleteDetails.Reason == "max_output_tokens"
+}
+
+// ---- Chat Completions 流式桥:直通 SSE 事件 → chat.completion.chunk 序列 ----
+
+// ChatRespBridge 把直通 SSE 事件流桥接为 chunk 序列:首个增量补 role,文本与
+// 工具增量按 OpenAI 形态输出;reasoning 系列事件丢弃;[DONE] 由传输层写出。
+type ChatRespBridge struct {
+	id, model    string
+	created      int64
+	includeUsage bool
+	started      bool
+	toolIndex    int
+	inTool       bool
+	finish       string
+	usage        *aiwire.Usage
+}
+
+// NewChatRespBridge 构造桥;includeUsage 即 stream_options.include_usage。
+func NewChatRespBridge(id, model string, created int64, includeUsage bool) *ChatRespBridge {
+	return &ChatRespBridge{id: id, model: model, created: created,
+		includeUsage: includeUsage, toolIndex: -1, finish: "stop"}
+}
+
+// Feed 消费一行 SSE data JSON,返回应立即写出的 chunk。
+func (b *ChatRespBridge) Feed(data []byte) []aiwire.ChatChunk {
+	var ev respStreamEvent
+	if json.Unmarshal(data, &ev) != nil {
+		return nil
+	}
+	switch ev.Type {
+	case "response.output_text.delta":
+		b.inTool = false
+		return []aiwire.ChatChunk{b.chunk(b.deltaWithRole(aiwire.Delta{Content: ev.Delta}), nil)}
+	case "response.output_item.added":
+		return b.toolOpen(ev.Item)
+	case "response.function_call_arguments.delta":
+		return b.argsChunk(ev.Delta)
+	case "response.completed", "response.incomplete", "response.failed":
+		b.finishFrom(ev.Response)
+	}
+	return nil
+}
+
+// chunk 装配一条单 choice 增量事件。
+func (b *ChatRespBridge) chunk(delta aiwire.Delta, finish *string) aiwire.ChatChunk {
+	return aiwire.ChatChunk{ID: b.id, Object: "chat.completion.chunk", Created: b.created,
+		Model: b.model, Choices: []aiwire.ChunkChoice{{Index: 0, Delta: delta, FinishReason: finish}}}
+}
+
+// deltaWithRole 给首个增量补 role(OpenAI 首块携带 role 语义)。
+func (b *ChatRespBridge) deltaWithRole(d aiwire.Delta) aiwire.Delta {
+	if !b.started {
+		b.started = true
+		d.Role = "assistant"
+	}
+	return d
+}
+
+// toolOpen 在新 function_call 输出项开始时发 id/name 增量并推进聚合 index;
+// 非工具输出项只复位增量目标。
+func (b *ChatRespBridge) toolOpen(item *respOutputItem) []aiwire.ChatChunk {
+	if item == nil || item.Type != "function_call" {
+		b.inTool = false
+		return nil
+	}
+	b.toolIndex++
+	b.inTool = true
+	b.finish = "tool_calls"
+	d := aiwire.Delta{ToolCalls: []aiwire.ToolCallDelta{{Index: b.toolIndex, ID: item.CallID,
+		Type: "function", Function: aiwire.FunctionCallDelta{Name: item.Name}}}}
+	return []aiwire.ChatChunk{b.chunk(b.deltaWithRole(d), nil)}
+}
+
+// argsChunk 输出当前工具的实参增量(仅在工具输出项进行中)。
+func (b *ChatRespBridge) argsChunk(delta string) []aiwire.ChatChunk {
+	if !b.inTool {
+		return nil
+	}
+	d := aiwire.Delta{ToolCalls: []aiwire.ToolCallDelta{{Index: b.toolIndex,
+		Function: aiwire.FunctionCallDelta{Arguments: delta}}}}
+	return []aiwire.ChatChunk{b.chunk(d, nil)}
+}
+
+// finishFrom 记录终态 usage 与截断语义(max_output_tokens → length)。
+func (b *ChatRespBridge) finishFrom(resp *respPayload) {
+	if resp == nil {
+		return
+	}
+	b.usage = usageFromResp(resp.Usage)
+	if respTruncated(resp) {
+		b.finish = "length"
+	}
+}
+
+// Finish 在上游流结束后收尾:终块带 finish_reason;include_usage 时追加 usage 块
+// (choices 为空数组,OpenAI 规范形态;上游未给 usage 时输出零值)。
+func (b *ChatRespBridge) Finish() []aiwire.ChatChunk {
+	chunks := []aiwire.ChatChunk{b.chunk(b.deltaWithRole(aiwire.Delta{}), &b.finish)}
+	if !b.includeUsage {
+		return chunks
+	}
+	usage := b.usage
+	if usage == nil {
+		usage = &aiwire.Usage{}
+	}
+	return append(chunks, aiwire.ChatChunk{ID: b.id, Object: "chat.completion.chunk",
+		Created: b.created, Model: b.model, Choices: []aiwire.ChunkChoice{}, Usage: usage})
+}
+
+// Usage 返回聚合到的用量(供调用日志),上游未报告时为 nil。
+func (b *ChatRespBridge) Usage() *aiwire.Usage { return b.usage }
+
+// ChatResponseChunks 把完整 Chat 响应展开为 chunk 序列(内容与工具调用 →
+// 终块 → 可选 usage 块),供流式上游断流后的非流式降级结果推送。
+func ChatResponseChunks(resp *aiwire.ChatResponse, includeUsage bool) []aiwire.ChatChunk {
+	if len(resp.Choices) == 0 {
+		return nil
+	}
+	choice := resp.Choices[0]
+	mk := func(delta aiwire.Delta, finish *string) aiwire.ChatChunk {
+		return aiwire.ChatChunk{ID: resp.ID, Object: "chat.completion.chunk", Created: resp.Created,
+			Model: resp.Model, Choices: []aiwire.ChunkChoice{{Index: 0, Delta: delta, FinishReason: finish}}}
+	}
+	delta := aiwire.Delta{Role: "assistant", Content: choice.Message.Content.Text}
+	for i, tc := range choice.Message.ToolCalls {
+		delta.ToolCalls = append(delta.ToolCalls, aiwire.ToolCallDelta{Index: i, ID: tc.ID,
+			Type: "function", Function: aiwire.FunctionCallDelta{Name: tc.Function.Name, Arguments: tc.Function.Arguments}})
+	}
+	finish := choice.FinishReason
+	chunks := []aiwire.ChatChunk{mk(delta, nil), mk(aiwire.Delta{}, &finish)}
+	if includeUsage {
+		usage := resp.Usage
+		if usage == nil {
+			usage = &aiwire.Usage{}
+		}
+		chunks = append(chunks, aiwire.ChatChunk{ID: resp.ID, Object: "chat.completion.chunk",
+			Created: resp.Created, Model: resp.Model, Choices: []aiwire.ChunkChoice{}, Usage: usage})
+	}
+	return chunks
+}
@@ -0,0 +1,301 @@
+package service
+
+import (
+	"encoding/json"
+	"strings"
+	"testing"
+
+	"oci-portal/internal/aiwire"
+)
+
+func mustChatReq(t *testing.T, raw string) aiwire.ChatRequest {
+	t.Helper()
+	var req aiwire.ChatRequest
+	if err := json.Unmarshal([]byte(raw), &req); err != nil {
+		t.Fatalf("解析请求: %v", err)
+	}
+	return req
+}
+
+func mustChatBody(t *testing.T, raw string) map[string]any {
+	t.Helper()
+	payload, err := ChatToResponsesBody(mustChatReq(t, raw))
+	if err != nil {
+		t.Fatalf("ChatToResponsesBody: %v", err)
+	}
+	var body map[string]any
+	if err := json.Unmarshal(payload, &body); err != nil {
+		t.Fatalf("unmarshal: %v", err)
+	}
+	return body
+}
+
+// TestChatToResponsesBody 断言消息展开、instructions 聚合、工具与顶层字段装配。
+func TestChatToResponsesBody(t *testing.T) {
+	body := mustChatBody(t, `{
+		"model": "xai.grok-4.3", "max_tokens": 64, "max_completion_tokens": 128,
+		"temperature": 0.5, "top_p": 0.9, "parallel_tool_calls": false, "stream": true,
+		"reasoning_effort": "HIGH",
+		"messages": [
+			{"role": "system", "content": "你是助手"},
+			{"role": "developer", "content": [{"type": "text", "text": "简洁作答"}]},
+			{"role": "user", "content": "东京天气?"},
+			{"role": "assistant", "content": "查询中", "tool_calls": [
+				{"id": "t1", "type": "function", "function": {"name": "get_weather", "arguments": "{\"city\":\"东京\"}"}}
+			]},
+			{"role": "tool", "tool_call_id": "t1", "content": "晴 25 度"},
+			{"role": "user", "content": "继续"}
+		],
+		"tools": [{"type": "function", "function": {"name": "get_weather", "description": "查天气", "parameters": {"type": "object"}}}],
+		"tool_choice": "required"
+	}`)
+	if body["model"] != "xai.grok-4.3" || body["store"] != false || body["stream"] != true {
+		t.Fatalf("顶层字段装配错误: %v", body)
+	}
+	if body["max_output_tokens"] != float64(128) {
+		t.Fatalf("max_output_tokens = %v, want 128(max_completion_tokens 优先)", body["max_output_tokens"])
+	}
+	if body["instructions"] != "你是助手\n\n简洁作答" {
+		t.Fatalf("instructions = %v", body["instructions"])
+	}
+	if body["temperature"] != 0.5 || body["top_p"] != 0.9 || body["parallel_tool_calls"] != false {
+		t.Fatalf("采样字段装配错误: %v", body)
+	}
+	if body["tool_choice"] != "required" {
+		t.Fatalf("tool_choice = %v", body["tool_choice"])
+	}
+	if reasoning, _ := body["reasoning"].(map[string]any); reasoning["effort"] != "high" {
+		t.Fatalf("effort = %v, want high(小写透传)", body["reasoning"])
+	}
+	kinds := chatInputKinds(t, body)
+	want := "message/user,message/assistant,function_call,function_call_output,message/user"
+	if kinds != want {
+		t.Fatalf("input 顺序 = %s, want %s", kinds, want)
+	}
+	tools, _ := body["tools"].([]any)
+	tool, _ := tools[0].(map[string]any)
+	if tool["type"] != "function" || tool["name"] != "get_weather" {
+		t.Fatalf("工具应拍平为 Responses 形态: %v", tool)
+	}
+}
+
+func chatInputKinds(t *testing.T, body map[string]any) string {
+	t.Helper()
+	input, _ := body["input"].([]any)
+	kinds := make([]string, 0, len(input))
+	for _, it := range input {
+		m := it.(map[string]any)
+		if ty, ok := m["type"].(string); ok {
+			kinds = append(kinds, ty)
+		} else {
+			kinds = append(kinds, "message/"+m["role"].(string))
+		}
+	}
+	return strings.Join(kinds, ",")
+}
+
+// TestChatToResponsesBodyContent 断言文本部件按角色定型与图片装配/拒绝。
+func TestChatToResponsesBodyContent(t *testing.T) {
+	body := mustChatBody(t, `{"model":"m","messages":[
+		{"role":"user","content":[
+			{"type":"text","text":"看图"},
+			{"type":"image_url","image_url":{"url":"data:image/png;base64,QUJD"}}]},
+		{"role":"assistant","content":"这是猫"}]}`)
+	raw, _ := json.Marshal(body["input"])
+	if !strings.Contains(string(raw), `"input_image"`) ||
+		!strings.Contains(string(raw), "data:image/png;base64,QUJD") {
+		t.Fatalf("图片应转 input_image: %s", raw)
+	}
+	if !strings.Contains(string(raw), `"output_text"`) {
+		t.Fatalf("assistant 历史文本应为 output_text 部件: %s", raw)
+	}
+
+	for name, msg := range map[string]string{
+		"audio 块": `{"role":"user","content":[{"type":"input_audio","input_audio":{}}]}`,
+		"图片缺 url": `{"role":"user","content":[{"type":"image_url","image_url":{}}]}`,
+	} {
+		raw := `{"model":"m","messages":[` + msg + `]}`
+		if _, err := ChatToResponsesBody(mustChatReq(t, raw)); err == nil {
+			t.Errorf("%s 应拒绝", name)
+		}
+	}
+	badTool := mustChatReq(t, `{"model":"m","messages":[{"role":"user","content":"hi"}],
+		"tools":[{"type":"web_search","function":{}}]}`)
+	if _, err := ChatToResponsesBody(badTool); err == nil {
+		t.Error("非 function 工具类型应拒绝")
+	}
+}
+
+// TestChatRespToolChoice 断言 tool_choice 各形态映射。
+func TestChatRespToolChoice(t *testing.T) {
+	cases := []struct {
+		name, raw string
+		want      any
+	}{
+		{"auto", `"auto"`, "auto"},
+		{"none", `"none"`, "none"},
+		{"required", `"required"`, "required"},
+		{"具名 function", `{"type":"function","function":{"name":"f1"}}`,
+			map[string]string{"type": "function", "name": "f1"}},
+		{"未知 string", `"whatever"`, nil},
+		{"缺 name", `{"type":"function","function":{}}`, nil},
+		{"空", ``, nil},
+	}
+	for _, tc := range cases {
+		got := chatRespToolChoice(json.RawMessage(tc.raw))
+		if gotMap, ok := got.(map[string]string); ok {
+			wantMap, _ := tc.want.(map[string]string)
+			if wantMap == nil || gotMap["name"] != wantMap["name"] {
+				t.Errorf("%s: got %v, want %v", tc.name, got, tc.want)
+			}
+			continue
+		}
+		if got != tc.want {
+			t.Errorf("%s: got %v, want %v", tc.name, got, tc.want)
+		}
+	}
+}
+
+// TestChatTextFormat 断言 response_format 拍平映射。
+func TestChatTextFormat(t *testing.T) {
+	if got := chatTextFormat(nil); got != nil {
+		t.Errorf("nil 应不下发: %v", got)
+	}
+	if got := chatTextFormat(&aiwire.ResponseFormat{Type: "text"}); got != nil {
+		t.Errorf("text 应不下发: %v", got)
+	}
+	if got := chatTextFormat(&aiwire.ResponseFormat{Type: "json_object"}); got["type"] != "json_object" {
+		t.Errorf("json_object: %v", got)
+	}
+	got := chatTextFormat(&aiwire.ResponseFormat{Type: "json_schema",
+		JSONSchema: json.RawMessage(`{"name":"out","schema":{"type":"object"},"strict":true}`)})
+	if got["type"] != "json_schema" || got["name"] != "out" || got["strict"] != true {
+		t.Errorf("json_schema 应提升嵌套字段: %v", got)
+	}
+	if _, ok := got["schema"]; !ok {
+		t.Errorf("schema 缺失: %v", got)
+	}
+}
+
+// TestResponsesToChat 断言文本聚合、tool_calls、finish_reason 与 usage 回转。
+func TestResponsesToChat(t *testing.T) {
+	payload := []byte(`{"model":"xai.grok-4.3","status":"completed","output":[
+		{"type":"reasoning","summary":[]},
+		{"type":"message","content":[{"type":"output_text","text":"你"},{"type":"output_text","text":"好"}]},
+		{"type":"function_call","call_id":"c1","name":"get_weather","arguments":"{\"city\":\"东京\"}"}],
+		"usage":{"input_tokens":10,"output_tokens":5,"total_tokens":15,"input_tokens_details":{"cached_tokens":4}}}`)
+	out, err := ResponsesToChat(payload, "chatcmpl-1", 1700000000)
+	if err != nil {
+		t.Fatalf("ResponsesToChat: %v", err)
+	}
+	if out.Object != "chat.completion" || out.ID != "chatcmpl-1" || out.Created != 1700000000 {
+		t.Fatalf("响应骨架错误: %+v", out)
+	}
+	msg := out.Choices[0].Message
+	if msg.Role != "assistant" || msg.Content.JoinText() != "你好" {
+		t.Fatalf("content 装配错误: %+v", msg)
+	}
+	if len(msg.ToolCalls) != 1 || msg.ToolCalls[0].ID != "c1" ||
+		msg.ToolCalls[0].Function.Arguments != `{"city":"东京"}` {
+		t.Fatalf("tool_calls 装配错误: %+v", msg.ToolCalls)
+	}
+	if out.Choices[0].FinishReason != "tool_calls" {
+		t.Fatalf("finish_reason = %s, want tool_calls", out.Choices[0].FinishReason)
+	}
+	if out.Usage.PromptTokens != 10 || out.Usage.CompletionTokens != 5 || out.Usage.CachedTokens() != 4 {
+		t.Fatalf("usage = %+v", out.Usage)
+	}
+
+	trunc := []byte(`{"model":"m","status":"incomplete","incomplete_details":{"reason":"max_output_tokens"},
+		"output":[{"type":"message","content":[{"type":"output_text","text":"半"}]}]}`)
+	out2, err := ResponsesToChat(trunc, "chatcmpl-2", 1)
+	if err != nil || out2.Choices[0].FinishReason != "length" {
+		t.Fatalf("截断 finish_reason = %+v, %v", out2.Choices, err)
+	}
+	if out2.Usage != nil {
+		t.Fatalf("无 usage 时应为 nil: %+v", out2.Usage)
+	}
+}
+
+func chatChunkShapes(chunks []aiwire.ChatChunk) string {
+	kinds := make([]string, 0, len(chunks))
+	for _, ch := range chunks {
+		switch {
+		case len(ch.Choices) == 0:
+			kinds = append(kinds, "usage")
+		case ch.Choices[0].FinishReason != nil:
+			kinds = append(kinds, "finish:"+*ch.Choices[0].FinishReason)
+		case len(ch.Choices[0].Delta.ToolCalls) > 0:
+			kinds = append(kinds, "tool")
+		case ch.Choices[0].Delta.Role != "":
+			kinds = append(kinds, "role+text")
+		default:
+			kinds = append(kinds, "text")
+		}
+	}
+	return strings.Join(kinds, ",")
+}
+
+// TestChatRespBridge 断言流桥:首块 role、文本与工具增量、reasoning 丢弃、usage 块。
+func TestChatRespBridge(t *testing.T) {
+	b := NewChatRespBridge("chatcmpl-1", "m1", 1700000000, true)
+	var chunks []aiwire.ChatChunk
+	feed := func(lines ...string) {
+		for _, l := range lines {
+			chunks = append(chunks, b.Feed([]byte(l))...)
+		}
+	}
+	feed(`{"type":"response.created","response":{"model":"m1"}}`,
+		`{"type":"response.reasoning_text.delta","delta":"思考中"}`,
+		`{"type":"response.output_text.delta","delta":"你"}`,
+		`{"type":"response.output_text.delta","delta":"好"}`,
+		`{"type":"response.output_item.added","item":{"type":"function_call","call_id":"c1","name":"f"}}`,
+		`{"type":"response.function_call_arguments.delta","delta":"{\"a\":"}`,
+		`{"type":"response.function_call_arguments.delta","delta":"1}"}`,
+		`{"type":"response.completed","response":{"status":"completed","usage":{"input_tokens":8,"output_tokens":4,"total_tokens":12}}}`)
+	chunks = append(chunks, b.Finish()...)
+
+	got := chatChunkShapes(chunks)
+	want := "role+text,text,tool,tool,tool,finish:tool_calls,usage"
+	if got != want {
+		t.Fatalf("chunk 序列:\n got %s\nwant %s", got, want)
+	}
+	if chunks[0].Choices[0].Delta.Role != "assistant" || chunks[0].Choices[0].Delta.Content != "你" {
+		t.Fatalf("首块应含 role 与文本: %+v", chunks[0].Choices[0].Delta)
+	}
+	tool := chunks[2].Choices[0].Delta.ToolCalls[0]
+	if tool.Index != 0 || tool.ID != "c1" || tool.Function.Name != "f" {
+		t.Fatalf("工具首块 = %+v", tool)
+	}
+	args := chunks[3].Choices[0].Delta.ToolCalls[0].Function.Arguments +
+		chunks[4].Choices[0].Delta.ToolCalls[0].Function.Arguments
+	if args != `{"a":1}` {
+		t.Fatalf("实参增量聚合 = %s", args)
+	}
+	last := chunks[len(chunks)-1]
+	if last.Usage == nil || last.Usage.PromptTokens != 8 || len(last.Choices) != 0 {
+		t.Fatalf("usage 块 = %+v", last)
+	}
+	if b.Usage().TotalTokens != 12 {
+		t.Fatalf("Usage() = %+v", b.Usage())
+	}
+}
+
+// TestChatRespBridgeVariants 断言 include_usage 关闭、截断与空流的收尾形态。
+func TestChatRespBridgeVariants(t *testing.T) {
+	noUsage := NewChatRespBridge("c", "m", 1, false)
+	noUsage.Feed([]byte(`{"type":"response.output_text.delta","delta":"x"}`))
+	noUsage.Feed([]byte(`{"type":"response.incomplete","response":{"status":"incomplete","incomplete_details":{"reason":"max_output_tokens"}}}`))
+	if got := chatChunkShapes(noUsage.Finish()); got != "finish:length" {
+		t.Errorf("截断且不带 usage 块: %s", got)
+	}
+
+	empty := NewChatRespBridge("c", "m", 1, false)
+	fin := empty.Finish()
+	if got := chatChunkShapes(fin); got != "finish:stop" {
+		t.Errorf("空流收尾 = %s", got)
+	}
+	if fin[0].Choices[0].Delta.Role != "assistant" {
+		t.Errorf("空流终块应补 role: %+v", fin[0].Choices[0].Delta)
+	}
+}
@@ -57,9 +57,6 @@ type LogEventService struct {

 	relayPollTick    time.Duration // 订阅确认轮询间隔,零值用默认
 	relayPollTimeout time.Duration // 订阅确认轮询上限,零值用默认
-
-	alertMu     sync.Mutex         // 保护告警规则冷却表
-	alertSentAt map[uint]time.Time // 规则 ID → 上次告警时刻(阈值型规则冷却)
 }

 // NewLogEventService 组装依赖;调用 StartParser / StartCleanup 后台协程后生效。
@@ -373,20 +370,18 @@ func (s *LogEventService) parseOnce(ctx context.Context) {
 	if len(events) == 0 {
 		return
 	}
-	rules := s.loadEnabledAlertRules(ctx)
 	for i := range events {
-		s.processLogEvent(ctx, &events[i], rules)
+		s.processLogEvent(ctx, &events[i])
 	}
 }

 // processLogEvent 仅在条件更新命中原行后触发通知,删除并发胜出时静默跳过。
-func (s *LogEventService) processLogEvent(ctx context.Context, event *model.LogEvent, rules []model.AlertRule) {
+func (s *LogEventService) processLogEvent(ctx context.Context, event *model.LogEvent) {
 	parsed := parseLogEvent([]byte(event.Payload))
 	if !s.updateParsedEvent(ctx, event, parsed) {
 		return
 	}
 	s.notifyCritical(ctx, event, parsed)
-	s.matchAlertRules(ctx, rules, event, parsed)
 }

 // updateParsedEvent 用条件 UPDATE 禁止 Save 在删除后隐式重建事件。
@@ -418,21 +413,44 @@ type onsEnvelope struct {
 	Source            string          `json:"source"`
 	EventTime         string          `json:"eventTime"`
 	ResourceName      string          `json:"resourceName"`
+	Message           string          `json:"message"`
 	Data              json.RawMessage `json:"data"`
 	Identity          *onsIdentity    `json:"identity"`
+	AdditionalDetails *onsAddDetails  `json:"additionalDetails"`
+	StateChange       *onsStateChange `json:"stateChange"`
 }

 // onsIdentity 是 Audit 事件 data.identity 中与展示相关的字段。
 type onsIdentity struct {
 	IPAddress     string `json:"ipAddress"`
+	PrincipalName string `json:"principalName"`
 }

-// parsedEvent 是从消息原文提取的展示字段集;ResourceName 仅供 P2 推送文案,不落库。
+// onsAddDetails 是 IDCS 登录类事件 data.additionalDetails 的补充字段;
+// AuditEventMapValue 为嵌套的 JSON 字符串(含 eventId 成败与失败原因)。
+type onsAddDetails struct {
+	ActorName          string `json:"actorName"`
+	ClientIP           string `json:"clientIp"`
+	AuditEventMapValue string `json:"auditEventMapValue"`
+}
+
+// onsStateChange 承载 Audit v2 的资源变更快照;description 供策略类事件推送文案。
+type onsStateChange struct {
+	Current struct {
+		Description string `json:"description"`
+	} `json:"current"`
+}
+
+// parsedEvent 是从消息原文提取的展示字段集;ResourceName/Actor/Outcome/Detail
+// 仅供 P2 推送文案,不落库。
 type parsedEvent struct {
 	EventType    string
 	Source       string
 	SourceIP     string
 	ResourceName string
+	Actor        string // 操作者(identity.principalName,登录事件回退 actorName)
+	Outcome      string // 成功 / 失败 / 空(判读不出)
+	Detail       string // 补充说明(策略描述、登录失败原因等)
 	EventTime    *time.Time
 }

@@ -455,7 +473,7 @@ func parseLogEvent(payload []byte) parsedEvent {
 	return envelopeFields(env)
 }

-// mergeEnvelope 外层缺失字段时以 data 内层补齐(Audit 的 identity 在内层)。
+// mergeEnvelope 外层缺失字段时以 data 内层补齐(Audit 的 identity 等在内层)。
 func mergeEnvelope(outer, inner onsEnvelope) onsEnvelope {
 	if outer.EventType == "" {
 		outer.EventType = inner.EventType
@@ -472,13 +490,22 @@ func mergeEnvelope(outer, inner onsEnvelope) onsEnvelope {
 	if outer.ResourceName == "" {
 		outer.ResourceName = inner.ResourceName
 	}
+	if outer.Message == "" {
+		outer.Message = inner.Message
+	}
 	if outer.Identity == nil {
 		outer.Identity = inner.Identity
 	}
+	if outer.AdditionalDetails == nil {
+		outer.AdditionalDetails = inner.AdditionalDetails
+	}
+	if outer.StateChange == nil {
+		outer.StateChange = inner.StateChange
+	}
 	return outer
 }

-// envelopeFields 收敛字段别名并解析事件时间。
+// envelopeFields 收敛字段别名并解析事件时间与推送用补充字段。
 func envelopeFields(env onsEnvelope) parsedEvent {
 	eventType := env.EventType
 	if eventType == "" {
@@ -490,19 +517,81 @@ func envelopeFields(env onsEnvelope) parsedEvent {
 			eventTime = &ts
 		}
 	}
-	ip := ""
-	if env.Identity != nil {
-		ip = env.Identity.IPAddress
-	}
+	outcome, detail := envOutcome(env)
 	return parsedEvent{
 		EventType:    clip(eventType, 128),
 		Source:       clip(env.Source, 64),
-		SourceIP:     clip(ip, 64),
+		SourceIP:     clip(envIP(env), 64),
 		ResourceName: clip(env.ResourceName, 128),
+		Actor:        clipRunes(envActor(env), 64),
+		Outcome:      outcome,
+		Detail:       clipRunes(detail, 200),
 		EventTime:    eventTime,
 	}
 }

+// envIP 取发起方 IP:Audit 的 identity.ipAddress,登录事件回退 additionalDetails.clientIp。
+func envIP(env onsEnvelope) string {
+	if env.Identity != nil && env.Identity.IPAddress != "" {
+		return env.Identity.IPAddress
+	}
+	if env.AdditionalDetails != nil {
+		return env.AdditionalDetails.ClientIP
+	}
+	return ""
+}
+
+// envActor 取操作者:Audit 的 identity.principalName,登录事件回退 additionalDetails.actorName。
+func envActor(env onsEnvelope) string {
+	if env.Identity != nil && env.Identity.PrincipalName != "" {
+		return env.Identity.PrincipalName
+	}
+	if env.AdditionalDetails != nil {
+		return env.AdditionalDetails.ActorName
+	}
+	return ""
+}
+
+// envOutcome 判读事件成败与补充说明:登录事件解析 auditEventMapValue;其余
+// Audit 事件看 message 后缀,补充说明取 stateChange.current.description(策略描述)。
+func envOutcome(env onsEnvelope) (outcome, detail string) {
+	if env.StateChange != nil {
+		detail = env.StateChange.Current.Description
+	}
+	if env.AdditionalDetails != nil && env.AdditionalDetails.AuditEventMapValue != "" {
+		return ssoOutcome(env.AdditionalDetails.AuditEventMapValue, detail)
+	}
+	switch {
+	case strings.HasSuffix(env.Message, " succeeded"):
+		outcome = "成功"
+	case strings.HasSuffix(env.Message, " failed"):
+		outcome = "失败"
+	}
+	return outcome, detail
+}
+
+// ssoOutcome 解析 IDCS 审计负载(JSON 字符串):eventId 含 success/failure 定成败,
+// 失败时以其 message 作为原因说明。
+func ssoOutcome(raw, detail string) (string, string) {
+	var ev struct {
+		EventID string `json:"eventId"`
+		Message string `json:"message"`
+	}
+	if json.Unmarshal([]byte(raw), &ev) != nil {
+		return "", detail
+	}
+	switch {
+	case strings.Contains(ev.EventID, "success"):
+		return "成功", detail
+	case strings.Contains(ev.EventID, "failure"):
+		if ev.Message != "" {
+			detail = ev.Message
+		}
+		return "失败", detail
+	}
+	return "", detail
+}
+
 // clip 按模型列宽截断解析出的字段。
 func clip(s string, max int) string {
 	if len(s) > max {
@@ -511,6 +600,15 @@ func clip(s string, max int) string {
 	return s
 }

+// clipRunes 按字符数截断(通知文案用,中文安全)。
+func clipRunes(s string, max int) string {
+	r := []rune(s)
+	if len(r) > max {
+		return string(r[:max])
+	}
+	return s
+}
+
 // StartCleanup 启动周期清理:启动即清一次,之后每 24h 一次,随 ctx 取消退出。
 func (s *LogEventService) StartCleanup(ctx context.Context) {
 	s.wg.Add(1)
@@ -535,7 +633,6 @@ func (s *LogEventService) cleanupOnce(ctx context.Context) {
 	if err := s.cleanup(ctx, logEventRetention, logEventMaxRows); err != nil {
 		log.Printf("log event cleanup: %v", err)
 	}
-	s.cleanupAlertHits(ctx)
 }

 // cleanup 先删过期记录,再对超量部分删最旧;阈值参数化便于测试。
@@ -30,8 +30,7 @@ func newLogEventEnv(t *testing.T) (*LogEventService, *gorm.DB, uint) {
 		t.Fatalf("db handle: %v", err)
 	}
 	sqlDB.SetMaxOpenConns(1)
-	if err := db.AutoMigrate(&model.Setting{}, &model.OciConfig{}, &model.LogEvent{},
-		&model.AlertRule{}, &model.AlertRuleHit{}); err != nil {
+	if err := db.AutoMigrate(&model.Setting{}, &model.OciConfig{}, &model.LogEvent{}); err != nil {
 		t.Fatalf("auto migrate: %v", err)
 	}
 	cfg := model.OciConfig{Alias: "测试租户"}
@@ -246,6 +245,9 @@ func TestParseLogEvent(t *testing.T) {
 		wantSource  string
 		wantIP      string
 		wantTime    bool
+		wantActor   string
+		wantOutcome string
+		wantDetail  string
 	}{
 		{
 			name:       "CloudEvents 单事件",
@@ -283,6 +285,29 @@ func TestParseLogEvent(t *testing.T) {
 			payload:  `{"eventType":"x","data":{"identity":{}}}`,
 			wantType: "x",
 		},
+		{
+			name: "Audit v2 提取操作者成败与策略描述",
+			payload: `{"eventType":"com.oraclecloud.identityControlPlane.CreatePolicy","data":{
+				"identity":{"principalName":"Alfonso Garcia","ipAddress":"129.159.43.9"},
+				"message":"ociportal-logs-sch CreatePolicy succeeded",
+				"stateChange":{"current":{"description":"允许 Connector 发布到 ONS"}}}}`,
+			wantType: "com.oraclecloud.identityControlPlane.CreatePolicy", wantIP: "129.159.43.9",
+			wantActor: "Alfonso Garcia", wantOutcome: "成功", wantDetail: "允许 Connector 发布到 ONS",
+		},
+		{
+			name: "IDCS 登录失败提取用户 IP 与原因",
+			payload: `{"eventType":"com.oraclecloud.IdentitySignOn.InteractiveLogin","data":{
+				"additionalDetails":{"actorName":"oci","clientIp":"155.117.82.111",
+				"auditEventMapValue":"{\"eventId\":\"sso.authentication.failure\",\"message\":\"Authentication failure : incorrect password.\"}"}}}`,
+			wantType: "com.oraclecloud.IdentitySignOn.InteractiveLogin", wantIP: "155.117.82.111",
+			wantActor: "oci", wantOutcome: "失败", wantDetail: "Authentication failure : incorrect password.",
+		},
+		{
+			name:        "message failed 后缀判失败",
+			payload:     `{"eventType":"x","data":{"message":"vm TerminateInstance failed"}}`,
+			wantType:    "x",
+			wantOutcome: "失败",
+		},
 	}
 	for _, tt := range tests {
 		t.Run(tt.name, func(t *testing.T) {
@@ -291,6 +316,10 @@ func TestParseLogEvent(t *testing.T) {
 				t.Errorf("parse = (%q,%q,%q), want (%q,%q,%q)",
 					got.EventType, got.Source, got.SourceIP, tt.wantType, tt.wantSource, tt.wantIP)
 			}
+			if got.Actor != tt.wantActor || got.Outcome != tt.wantOutcome || got.Detail != tt.wantDetail {
+				t.Errorf("推送字段 = (%q,%q,%q), want (%q,%q,%q)",
+					got.Actor, got.Outcome, got.Detail, tt.wantActor, tt.wantOutcome, tt.wantDetail)
+			}
 			if (got.EventTime != nil) != tt.wantTime {
 				t.Errorf("eventTime present = %v, want %v", got.EventTime != nil, tt.wantTime)
 			}
@@ -322,12 +322,34 @@ func relayEventShortName(eventType string) string {
 }

 // criticalEventVars 判定关键事件并生成模板变量;非关键事件 ok 为 false。
+// actor/ip/outcome/resource 缺失时兜底 —,detail 包装为独立行(空则不占行)。
 func criticalEventVars(alias string, p parsedEvent) (map[string]string, bool) {
 	name := relayEventShortName(p.EventType)
 	if name == "" || !relayCriticalSet[name] {
 		return nil, false
 	}
-	return map[string]string{"tenant": alias, "event": name, "resource": p.ResourceName}, true
+	return map[string]string{
+		"tenant": alias, "event": name,
+		"resource": orDash(p.ResourceName), "actor": orDash(p.Actor),
+		"ip": orDash(p.SourceIP), "outcome": orDash(p.Outcome),
+		"detail": detailLine(p.Detail),
+	}, true
+}
+
+// orDash 空值兜底为 —,避免模板出现悬空标签。
+func orDash(v string) string {
+	if v == "" {
+		return "—"
+	}
+	return v
+}
+
+// detailLine 把补充说明包装为独立行;为空时不产生多余空行。
+func detailLine(v string) string {
+	if v == "" {
+		return ""
+	}
+	return "\n" + v
 }

 // notifyCritical 对关键事件推送告警;依赖未注入或对应子类开关关闭时跳过。
@@ -316,23 +316,33 @@ func TestCriticalEventText(t *testing.T) {
 		name   string
 		event  parsedEvent
 		wantOK bool
-		wantText string
+		want   map[string]string
 	}{
 		{
-			name:     "实例终止命中",
-			event:    parsedEvent{EventType: "com.oraclecloud.ComputeApi.TerminateInstance", ResourceName: "vm-1"},
+			name: "实例终止含操作者与成败",
+			event: parsedEvent{EventType: "com.oraclecloud.ComputeApi.TerminateInstance",
+				ResourceName: "vm-1", Actor: "demo@example.com", SourceIP: "203.0.113.8", Outcome: "成功"},
 			wantOK: true,
-			wantText: "☁️ 云端事件:免费01 TerminateInstance vm-1",
+			want: map[string]string{"event": "TerminateInstance", "resource": "vm-1",
+				"actor": "demo@example.com", "ip": "203.0.113.8", "outcome": "成功", "detail": ""},
 		},
 		{
-			name:     "无资源名省略尾段",
+			name:   "字段缺失兜底破折号",
 			event:  parsedEvent{EventType: "com.oraclecloud.IdentityControlPlane.CreateApiKey"},
 			wantOK: true,
-			wantText: "☁️ 云端事件:免费01 CreateApiKey",
+			want: map[string]string{"event": "CreateApiKey", "resource": "—",
+				"actor": "—", "ip": "—", "outcome": "—", "detail": ""},
+		},
+		{
+			name:   "补充说明独立成行",
+			event:  parsedEvent{EventType: "CreatePolicy", Detail: "允许发布到 ONS Topic"},
+			wantOK: true,
+			want:   map[string]string{"event": "CreatePolicy", "detail": "\n允许发布到 ONS Topic"},
 		},
 		{name: "List 噪声不推", event: parsedEvent{EventType: "com.oraclecloud.ComputeApi.ListInstances"}, wantOK: false},
 		{name: "空类型不推", event: parsedEvent{}, wantOK: false},
-		{name: "短名直接命中", event: parsedEvent{EventType: "LaunchInstance"}, wantOK: true, wantText: "☁️ 云端事件:免费01 LaunchInstance"},
+		{name: "短名直接命中", event: parsedEvent{EventType: "LaunchInstance"}, wantOK: true,
+			want: map[string]string{"event": "LaunchInstance"}},
 	}
 	for _, tt := range tests {
 		t.Run(tt.name, func(t *testing.T) {
@@ -340,13 +350,15 @@ func TestCriticalEventText(t *testing.T) {
 			if ok != tt.wantOK {
 				t.Fatalf("ok = %v, want %v", ok, tt.wantOK)
 			}
-			if ok {
-				got := "☁️ 云端事件:" + vars["tenant"] + " " + vars["event"]
-				if vars["resource"] != "" {
-					got += " " + vars["resource"]
+			if !ok {
+				return
 			}
-				if got != tt.wantText {
-					t.Errorf("vars 渲染 = %q, want %q", got, tt.wantText)
+			if vars["tenant"] != "免费01" {
+				t.Errorf("tenant = %q, want 免费01", vars["tenant"])
+			}
+			for k, want := range tt.want {
+				if vars[k] != want {
+					t.Errorf("%s = %q, want %q", k, vars[k], want)
 				}
 			}
 		})
@@ -21,7 +21,6 @@ var notifyTplOrder = []string{
 	"task_fail", "task_recover", "snatch_success", "tenant_dead", "task_stop",
 	"login_lock", "model_deprecated",
 	"log_event_instance", "log_event_identity", "log_event_policy", "log_event_region", "log_event_login",
-	"audit_alert",
 }

 var notifyTplDefs = map[string]notifyTplDef{
@@ -73,40 +72,40 @@ var notifyTplDefs = map[string]notifyTplDef{
 	},
 	"log_event_instance": {
 		Label:   "实例生命周期",
-		Default: "☁️ 云端事件:{{tenant}} {{event}} {{resource}}",
-		Vars:    []string{"tenant", "event", "resource"},
-		Sample:  map[string]string{"tenant": "免费01", "event": "TerminateInstance", "resource": "web-server-1"},
+		Default: "☁️ 云端事件:{{tenant}} {{event}} {{resource}} · {{outcome}}\n操作者 {{actor}} · 来源 {{ip}}{{detail}}",
+		Vars:    []string{"tenant", "event", "resource", "actor", "ip", "outcome", "detail"},
+		Sample: map[string]string{"tenant": "免费01", "event": "TerminateInstance", "resource": "web-server-1",
+			"actor": "demo@example.com", "ip": "203.0.113.8", "outcome": "成功", "detail": ""},
 	},
 	"log_event_identity": {
 		Label:   "用户与凭据",
-		Default: "☁️ 云端事件:{{tenant}} {{event}} {{resource}}",
-		Vars:    []string{"tenant", "event", "resource"},
-		Sample:  map[string]string{"tenant": "免费01", "event": "CreateApiKey", "resource": "user/demo"},
+		Default: "☁️ 云端事件:{{tenant}} {{event}} {{resource}} · {{outcome}}\n操作者 {{actor}} · 来源 {{ip}}{{detail}}",
+		Vars:    []string{"tenant", "event", "resource", "actor", "ip", "outcome", "detail"},
+		Sample: map[string]string{"tenant": "免费01", "event": "CreateApiKey", "resource": "user/demo",
+			"actor": "admin@example.com", "ip": "203.0.113.8", "outcome": "成功", "detail": ""},
 	},
 	"log_event_policy": {
 		Label:   "策略变更",
-		Default: "☁️ 云端事件:{{tenant}} {{event}} {{resource}}",
-		Vars:    []string{"tenant", "event", "resource"},
-		Sample:  map[string]string{"tenant": "免费01", "event": "UpdatePolicy", "resource": "admin-policy"},
+		Default: "☁️ 云端事件:{{tenant}} {{event}} {{resource}} · {{outcome}}\n操作者 {{actor}} · 来源 {{ip}}{{detail}}",
+		Vars:    []string{"tenant", "event", "resource", "actor", "ip", "outcome", "detail"},
+		Sample: map[string]string{"tenant": "免费01", "event": "CreatePolicy", "resource": "admin-policy",
+			"actor": "admin@example.com", "ip": "203.0.113.8", "outcome": "成功",
+			"detail": "\n允许 Service Connector 发布到 ONS Topic"},
 	},
 	"log_event_region": {
 		Label:   "区域订阅",
-		Default: "☁️ 云端事件:{{tenant}} {{event}} {{resource}}",
-		Vars:    []string{"tenant", "event", "resource"},
-		Sample:  map[string]string{"tenant": "免费01", "event": "CreateRegionSubscription", "resource": "ap-osaka-1"},
+		Default: "☁️ 云端事件:{{tenant}} {{event}} {{resource}} · {{outcome}}\n操作者 {{actor}} · 来源 {{ip}}{{detail}}",
+		Vars:    []string{"tenant", "event", "resource", "actor", "ip", "outcome", "detail"},
+		Sample: map[string]string{"tenant": "免费01", "event": "CreateRegionSubscription", "resource": "ap-osaka-1",
+			"actor": "admin@example.com", "ip": "203.0.113.8", "outcome": "成功", "detail": ""},
 	},
 	"log_event_login": {
 		Label:   "控制台登录",
-		Default: "☁️ 云端事件:{{tenant}} {{event}} {{resource}}",
-		Vars:    []string{"tenant", "event", "resource"},
-		Sample:  map[string]string{"tenant": "免费01", "event": "InteractiveLogin", "resource": "demo@example.com"},
-	},
-	"audit_alert": {
-		Label:   "审计告警",
-		Default: "🔔 审计告警:{{rule}}\n租户 {{tenant}} · {{event}} {{resource}}\n来源 {{ip}} · 窗口内 {{count}} 次",
-		Vars:    []string{"rule", "tenant", "event", "resource", "ip", "count"},
-		Sample: map[string]string{"rule": "非白名单终止实例", "tenant": "免费01",
-			"event": "TerminateInstance", "resource": "web-server-1", "ip": "203.0.113.8", "count": "1"},
+		Default: "☁️ 云端事件:{{tenant}} {{event}} · {{outcome}}\n用户 {{actor}} · 登录 IP {{ip}}{{detail}}",
+		Vars:    []string{"tenant", "event", "resource", "actor", "ip", "outcome", "detail"},
+		Sample: map[string]string{"tenant": "免费01", "event": "InteractiveLogin", "resource": "—",
+			"actor": "demo@example.com", "ip": "155.117.82.111", "outcome": "失败",
+			"detail": "\nAuthentication failure : You entered an incorrect user name or password."},
 	},
 }

@@ -20,7 +20,6 @@ type OciConfigService struct {
 	cipher       *crypto.Cipher
 	client       oci.Client
 	cleanupTasks *TaskService
-	cleanupEvents *LogEventService
 	// auditRaw 按 configId:eventId 暂存审计原始事件(TTL 10 分钟),
 	// 列表响应剥离 raw 后详情接口据此秒开;miss 走小窗重查兜底。
 	auditRaw *cache.Cache
@@ -31,10 +30,9 @@ func NewOciConfigService(db *gorm.DB, cipher *crypto.Cipher, client oci.Client)
 	return &OciConfigService{db: db, cipher: cipher, client: client, auditRaw: cache.New(auditRawMax)}
 }

-// SetTenantCleanupDeps 注入租户删除提交后的任务与告警内存状态同步依赖。
-func (s *OciConfigService) SetTenantCleanupDeps(tasks *TaskService, events *LogEventService) {
+// SetTenantCleanupDeps 注入租户删除提交后的任务内存状态同步依赖。
+func (s *OciConfigService) SetTenantCleanupDeps(tasks *TaskService) {
 	s.cleanupTasks = tasks
-	s.cleanupEvents = events
 }

 // ImportInput 是导入一份 API Key 的输入：
@@ -137,6 +137,13 @@ func newTestService(t *testing.T, client oci.Client) *OciConfigService {
 	if err != nil {
 		t.Fatalf("open in-memory sqlite: %v", err)
 	}
+	// :memory: 库每条连接各自独立,后台 goroutine(模型验证等)触发第二条连接会看到空库;
+	// 收敛到单连接,与 tenantdelete 测试环境一致
+	sqlDB, err := db.DB()
+	if err != nil {
+		t.Fatalf("database handle: %v", err)
+	}
+	sqlDB.SetMaxOpenConns(1)
 	if err := db.AutoMigrate(
 		&model.OciConfig{}, &model.RegionCache{}, &model.CompartmentCache{}, &model.Proxy{},
 	); err != nil {
@@ -229,6 +229,63 @@ func (s *ProxyService) Delete(ctx context.Context, id uint) error {
 	return nil
 }

+// SetTenants 设置关联此代理的租户全集:列表内的租户改挂到本代理(含从
+// 其他代理改挂),列表外已关联的解除;整体事务生效,返回新的关联计数。
+func (s *ProxyService) SetTenants(ctx context.Context, id uint, cfgIDs []uint) (int64, error) {
+	if err := s.db.WithContext(ctx).First(&model.Proxy{}, id).Error; err != nil {
+		return 0, fmt.Errorf("find proxy %d: %w", id, err)
+	}
+	ids, err := s.validTenantIDs(ctx, cfgIDs)
+	if err != nil {
+		return 0, err
+	}
+	err = s.db.WithContext(ctx).Transaction(func(tx *gorm.DB) error {
+		unbind := tx.Model(&model.OciConfig{}).Where("proxy_id = ?", id)
+		if len(ids) > 0 {
+			unbind = unbind.Where("id NOT IN ?", ids)
+		}
+		if err := unbind.Update("proxy_id", nil).Error; err != nil {
+			return fmt.Errorf("unbind tenants: %w", err)
+		}
+		if len(ids) == 0 {
+			return nil
+		}
+		err := tx.Model(&model.OciConfig{}).Where("id IN ?", ids).Update("proxy_id", id).Error
+		if err != nil {
+			return fmt.Errorf("bind tenants: %w", err)
+		}
+		return nil
+	})
+	if err != nil {
+		return 0, err
+	}
+	return int64(len(ids)), nil
+}
+
+// validTenantIDs 去重并校验租户 ID 均存在;含无效 ID 时报 ErrProxyInvalid。
+func (s *ProxyService) validTenantIDs(ctx context.Context, cfgIDs []uint) ([]uint, error) {
+	seen := map[uint]struct{}{}
+	ids := make([]uint, 0, len(cfgIDs))
+	for _, v := range cfgIDs {
+		if _, ok := seen[v]; !ok {
+			seen[v] = struct{}{}
+			ids = append(ids, v)
+		}
+	}
+	if len(ids) == 0 {
+		return ids, nil
+	}
+	var n int64
+	err := s.db.WithContext(ctx).Model(&model.OciConfig{}).Where("id IN ?", ids).Count(&n).Error
+	if err != nil {
+		return nil, fmt.Errorf("count tenants: %w", err)
+	}
+	if n != int64(len(ids)) {
+		return nil, fmt.Errorf("存在无效的租户 ID: %w", ErrProxyInvalid)
+	}
+	return ids, nil
+}
+
 // SpecOf 解密并组装 SDK 用的代理参数;id 为 nil 返回 nil(直连)。
 func (s *ProxyService) SpecOf(ctx context.Context, id *uint) (*oci.ProxySpec, error) {
 	if id == nil {
@@ -2,6 +2,7 @@ package service

 import (
 	"context"
+	"errors"
 	"net/http"
 	"net/http/httptest"
 	"strings"
@@ -227,3 +228,99 @@ func TestProxyGeoProbe(t *testing.T) {
 		t.Fatalf("probe view = %+v, want 空地区带探测时间", view)
 	}
 }
+
+func TestProxySetTenants(t *testing.T) {
+	svc, db := newProxyEnv(t)
+	ctx := context.Background()
+
+	pa, _ := svc.Create(ctx, ProxyInput{Type: "socks5", Host: "10.0.0.1", Port: 1080})
+	pb, _ := svc.Create(ctx, ProxyInput{Type: "socks5", Host: "10.0.0.2", Port: 1080})
+	// t1 已挂 A,t2 挂 B,t3 直连
+	t1 := model.OciConfig{Alias: "t1", ProxyID: &pa.ID}
+	t2 := model.OciConfig{Alias: "t2", ProxyID: &pb.ID}
+	t3 := model.OciConfig{Alias: "t3"}
+	for _, cfg := range []*model.OciConfig{&t1, &t2, &t3} {
+		if err := db.Create(cfg).Error; err != nil {
+			t.Fatalf("seed config: %v", err)
+		}
+	}
+
+	proxyOf := func(id uint) *uint {
+		var row model.OciConfig
+		if err := db.First(&row, id).Error; err != nil {
+			t.Fatalf("load config %d: %v", id, err)
+		}
+		return row.ProxyID
+	}
+
+	cases := []struct {
+		name    string
+		proxyID uint
+		cfgIDs  []uint
+		wantN   int64
+		wantErr error
+	}{
+		{name: "改挂并新增", proxyID: pa.ID, cfgIDs: []uint{t2.ID, t3.ID, t3.ID}, wantN: 2},
+		{name: "清空解除全部", proxyID: pa.ID, cfgIDs: nil, wantN: 0},
+		{name: "无效租户拒绝", proxyID: pa.ID, cfgIDs: []uint{9999}, wantErr: ErrProxyInvalid},
+		{name: "代理不存在", proxyID: 9999, cfgIDs: nil, wantErr: gorm.ErrRecordNotFound},
+	}
+	for _, tc := range cases {
+		t.Run(tc.name, func(t *testing.T) {
+			n, err := svc.SetTenants(ctx, tc.proxyID, tc.cfgIDs)
+			if tc.wantErr != nil {
+				if !errors.Is(err, tc.wantErr) {
+					t.Fatalf("err = %v, want %v", err, tc.wantErr)
+				}
+				return
+			}
+			if err != nil || n != tc.wantN {
+				t.Fatalf("SetTenants = %d, %v; want %d, nil", n, err, tc.wantN)
+			}
+		})
+	}
+
+	// 终态:清空后三租户全部直连(t1 在第一步已被解除,t2/t3 在第二步解除)
+	for _, id := range []uint{t1.ID, t2.ID, t3.ID} {
+		if got := proxyOf(id); got != nil {
+			t.Fatalf("config %d proxyID = %v, want nil", id, *got)
+		}
+	}
+}
+
+func TestProxySetTenantsRebind(t *testing.T) {
+	svc, db := newProxyEnv(t)
+	ctx := context.Background()
+
+	pa, _ := svc.Create(ctx, ProxyInput{Type: "socks5", Host: "10.0.1.1", Port: 1080})
+	pb, _ := svc.Create(ctx, ProxyInput{Type: "socks5", Host: "10.0.1.2", Port: 1080})
+	cfg := model.OciConfig{Alias: "steal", ProxyID: &pa.ID}
+	if err := db.Create(&cfg).Error; err != nil {
+		t.Fatalf("seed config: %v", err)
+	}
+
+	if _, err := svc.SetTenants(ctx, pb.ID, []uint{cfg.ID}); err != nil {
+		t.Fatalf("SetTenants: %v", err)
+	}
+	var row model.OciConfig
+	if err := db.First(&row, cfg.ID).Error; err != nil {
+		t.Fatalf("load config: %v", err)
+	}
+	if row.ProxyID == nil || *row.ProxyID != pb.ID {
+		t.Fatalf("proxyID = %v, want %d(改挂到 B)", row.ProxyID, pb.ID)
+	}
+	// A 侧计数应归零,B 侧为 1
+	views, err := svc.List(ctx)
+	if err != nil {
+		t.Fatalf("List: %v", err)
+	}
+	for _, v := range views {
+		want := int64(0)
+		if v.ID == pb.ID {
+			want = 1
+		}
+		if v.UsedBy != want {
+			t.Fatalf("proxy %d UsedBy = %d, want %d", v.ID, v.UsedBy, want)
+		}
+	}
+}
@@ -3,6 +3,7 @@ package service
 import (
 	"context"
 	"encoding/json"
+	"errors"
 	"fmt"
 	"log"
 	"strings"
@@ -46,6 +47,12 @@ type TaskService struct {
 	entries map[uint]cron.EntryID
 	// runMu 让租户删除等待在途执行结束,并阻止新执行读取删除前的任务快照。
 	runMu sync.RWMutex
+	// runningMu 保护 running:同一任务不允许并发重复执行
+	// (cron 重叠触发静默跳过,手动触发返回 ErrTaskRunning)
+	runningMu sync.Mutex
+	running   map[uint]bool
+	// runWG 追踪手动触发的后台执行,Stop 时等待收尾
+	runWG sync.WaitGroup

 	// snatchVarsMu 保护 snatchVars:runSnatch 抢满时写入成功通知变量,
 	// execute 组装执行后快照时取走(一次性)
@@ -63,6 +70,7 @@ func NewTaskService(db *gorm.DB, configs *OciConfigService, notifier *Notifier,
 		settings:     settings,
 		cron:         cron.New(),
 		entries:      map[uint]cron.EntryID{},
+		running:      map[uint]bool{},
 		snatchIPWait: defaultSnatchIPWait,
 		snatchVars:   map[uint]map[string]string{},
 	}
@@ -86,10 +94,11 @@ func (s *TaskService) Start() error {
 	return nil
 }

-// Stop 停止调度并等待执行中的任务收尾，
+// Stop 停止调度并等待执行中的任务收尾(含手动触发的后台执行),
 // 保证任务产生的异步通知都已进入 Notifier 的等待队列。
 func (s *TaskService) Stop() {
 	<-s.cron.Stop().Done()
+	s.runWG.Wait()
 }

 // healthCheckPayload 是测活任务参数；ociConfigIds 为空表示全部配置。
@@ -356,7 +365,7 @@ func (s *TaskService) TaskLogs(ctx context.Context, id uint, limit int) ([]model
 	return logs, nil
 }

-// RunTaskNow 立即执行一次任务并返回本次日志。
+// RunTaskNow 同步执行一次任务并返回本次日志(内部与测试使用;API 走 TriggerTask)。
 func (s *TaskService) RunTaskNow(ctx context.Context, id uint) (*model.TaskLog, error) {
 	if _, err := s.GetTask(ctx, id); err != nil {
 		return nil, err
@@ -364,6 +373,43 @@ func (s *TaskService) RunTaskNow(ctx context.Context, id uint) (*model.TaskLog,
 	return s.execute(id), nil
 }

+// ErrTaskRunning 表示任务已有一次执行在途,拒绝重复触发。
+var ErrTaskRunning = errors.New("任务正在执行中,请稍候")
+
+// TriggerTask 异步触发一次任务执行并立即返回;执行结果照常落任务日志与通知,
+// 由前端轮询呈现。同一任务在途时返回 ErrTaskRunning。
+func (s *TaskService) TriggerTask(ctx context.Context, id uint) error {
+	if _, err := s.GetTask(ctx, id); err != nil {
+		return err
+	}
+	if !s.beginRun(id) {
+		return ErrTaskRunning
+	}
+	s.runWG.Add(1)
+	go func() {
+		defer s.runWG.Done()
+		s.runHeld(id)
+	}()
+	return nil
+}
+
+// beginRun 抢占任务的执行权;在途时返回 false。
+func (s *TaskService) beginRun(id uint) bool {
+	s.runningMu.Lock()
+	defer s.runningMu.Unlock()
+	if s.running[id] {
+		return false
+	}
+	s.running[id] = true
+	return true
+}
+
+func (s *TaskService) endRun(id uint) {
+	s.runningMu.Lock()
+	delete(s.running, id)
+	s.runningMu.Unlock()
+}
+
 // schedule 把任务注册进 cron 调度。
 func (s *TaskService) schedule(task *model.Task) error {
 	s.mu.Lock()
@@ -412,9 +458,18 @@ func (s *TaskService) lockTenantCleanup() func() {
 	return s.runMu.Unlock
 }

-// execute 执行一次任务：加载 → 分派 → 更新任务状态并写日志，
-// 前后状态交给通知判定，只在状态变化时推送。
+// execute 执行一次任务:同一任务已有执行在途时静默跳过(cron 重叠触发防抖)。
 func (s *TaskService) execute(taskID uint) *model.TaskLog {
+	if !s.beginRun(taskID) {
+		return nil
+	}
+	return s.runHeld(taskID)
+}
+
+// runHeld 在已持有执行权的前提下完成一次执行:加载 → 分派 → 更新任务状态并写日志,
+// 前后状态交给通知判定,只在状态变化时推送。
+func (s *TaskService) runHeld(taskID uint) *model.TaskLog {
+	defer s.endRun(taskID)
 	s.runMu.RLock()
 	defer s.runMu.RUnlock()
 	return s.executeLocked(taskID)
@@ -3,6 +3,7 @@ package service
 import (
 	"context"
 	"encoding/json"
+	"errors"
 	"fmt"
 	"strings"
 	"sync"
@@ -801,3 +802,36 @@ func TestNotifyEventsSnatchVarsMerged(t *testing.T) {
 		}
 	}
 }
+
+func TestTriggerTaskAsyncAndDedup(t *testing.T) {
+	client := &blockingClient{fakeClient: &fakeClient{}, started: make(chan struct{}, 1), release: make(chan struct{})}
+	configs, tasks, db := newTenantDeleteEnv(t, client)
+	target, _ := seedDeleteTenants(t, db)
+	setTenantPrivateKey(t, configs, target.ID)
+	task := createHealthTask(t, tasks, target.ID)
+	ctx := context.Background()
+
+	// 触发立即返回,执行在后台开始
+	if err := tasks.TriggerTask(ctx, task.ID); err != nil {
+		t.Fatalf("TriggerTask: %v", err)
+	}
+	<-client.started
+	// 在途重复触发被拒;cron 重叠执行静默跳过
+	if err := tasks.TriggerTask(ctx, task.ID); !errors.Is(err, ErrTaskRunning) {
+		t.Errorf("在途重复触发应返回 ErrTaskRunning: %v", err)
+	}
+	if entry := tasks.execute(task.ID); entry != nil {
+		t.Error("在途时 cron 重叠执行应静默跳过")
+	}
+	close(client.release)
+	tasks.Stop() // 等待后台执行收尾
+	assertCount(t, db, &model.TaskLog{}, "task_id = ?", []any{task.ID}, 1)
+	// 执行权已释放,可再次触发;不存在的任务报错
+	if !tasks.beginRun(task.ID) {
+		t.Error("执行结束后应可重新获得执行权")
+	}
+	tasks.endRun(task.ID)
+	if err := tasks.TriggerTask(ctx, 9999); err == nil {
+		t.Error("不存在的任务应报错")
+	}
+}
@@ -4,6 +4,7 @@ import (
 	"context"
 	"encoding/json"
 	"fmt"
+	"log"
 	"strings"

 	"gorm.io/gorm"
@@ -15,7 +16,6 @@ import (
 type tenantDeleteResult struct {
 	config         model.OciConfig
 	deletedTaskIDs []uint
-	alertRuleIDs   []uint
 	channelsGone   bool
 }

@@ -47,7 +47,7 @@ func (s *OciConfigService) deleteTenantInTx(tx *gorm.DB, id uint, result *tenant
 	if err := s.deleteTenantTasks(tx, id, result); err != nil {
 		return err
 	}
-	if err := deleteTenantEvents(tx, id, result); err != nil {
+	if err := deleteTenantEvents(tx, id); err != nil {
 		return err
 	}
 	if err := deleteTenantAI(tx, id, result); err != nil {
@@ -104,7 +104,8 @@ func planTenantTask(task model.Task, id uint) (tenantTaskAction, bool, error) {
 func planSnatchTask(task model.Task, id uint) (tenantTaskAction, bool, error) {
 	var payload snatchPayload
 	if err := json.Unmarshal([]byte(task.Payload), &payload); err != nil {
-		return tenantTaskAction{}, false, fmt.Errorf("parse task %d payload: %w", task.ID, err)
+		logSkippedTask(task, err)
+		return tenantTaskAction{}, false, nil
 	}
 	if payload.OciConfigID != id {
 		return tenantTaskAction{}, false, nil
@@ -112,10 +113,17 @@ func planSnatchTask(task model.Task, id uint) (tenantTaskAction, bool, error) {
 	return tenantTaskAction{task: task, deleteTask: true}, true, nil
 }

+// logSkippedTask 记录 payload 无法解析而被跳过的任务:坏数据无法归属租户,
+// fail-closed 会永久阻断删除且只能手工修库;改为保留原任务(不删不改)并放行删除。
+func logSkippedTask(task model.Task, err error) {
+	log.Printf("tenant delete: 任务 %d(%s)payload 无法解析,跳过处理: %v", task.ID, task.Type, err)
+}
+
 func planMultiTenantTask(task model.Task, id uint) (tenantTaskAction, bool, error) {
 	payload, err := decodeConfigIDs(task)
 	if err != nil {
-		return tenantTaskAction{}, false, err
+		logSkippedTask(task, err)
+		return tenantTaskAction{}, false, nil
 	}
 	if len(payload.OciConfigIDs) == 0 {
 		return tenantTaskAction{task: task, payload: task.Payload}, true, nil
@@ -196,17 +204,9 @@ func resetTenantTask(tx *gorm.DB, action tenantTaskAction) error {
 	return nil
 }

-func deleteTenantEvents(tx *gorm.DB, id uint, result *tenantDeleteResult) error {
-	ruleIDs, eventIDs, affectedRules, err := loadTenantEventRefs(tx, id)
-	if err != nil {
-		return err
-	}
-	if err := deleteAlertHits(tx, ruleIDs, eventIDs); err != nil {
-		return err
-	}
-	result.alertRuleIDs = mergeIDs(ruleIDs, affectedRules)
-	if err := deleteWhere(tx, &model.AlertRule{}, "oci_config_id = ?", id); err != nil {
-		return fmt.Errorf("delete tenant alert rules: %w", err)
+func deleteTenantEvents(tx *gorm.DB, id uint) error {
+	if err := lockTenantEventRows(tx, id); err != nil {
+		return fmt.Errorf("load tenant log events: %w", err)
 	}
 	if err := deleteWhere(tx, &model.LogEvent{}, "oci_config_id = ?", id); err != nil {
 		return fmt.Errorf("delete tenant log events: %w", err)
@@ -214,88 +214,13 @@ func deleteTenantEvents(tx *gorm.DB, id uint, result *tenantDeleteResult) error
 	return nil
 }

-func loadTenantEventRefs(tx *gorm.DB, id uint) ([]uint, []uint, []uint, error) {
-	ruleIDs, err := lockedTenantRuleIDs(tx, id)
-	if err != nil {
-		return nil, nil, nil, fmt.Errorf("load tenant alert rules: %w", err)
-	}
-	eventIDs, err := lockedTenantEventIDs(tx, id)
-	if err != nil {
-		return nil, nil, nil, fmt.Errorf("load tenant log events: %w", err)
-	}
-	affected, err := alertHitRuleIDs(tx, eventIDs)
-	if err != nil {
-		return nil, nil, nil, err
-	}
-	return ruleIDs, eventIDs, affected, nil
-}
-
-func lockedTenantRuleIDs(tx *gorm.DB, id uint) ([]uint, error) {
-	var rows []model.AlertRule
-	err := tx.Clauses(clause.Locking{Strength: "UPDATE"}).Select("id").
-		Where("oci_config_id = ?", id).Order("id").Find(&rows).Error
-	ids := make([]uint, 0, len(rows))
-	for _, row := range rows {
-		ids = append(ids, row.ID)
-	}
-	return ids, err
-}
-
-func lockedTenantEventIDs(tx *gorm.DB, id uint) ([]uint, error) {
+// lockTenantEventRows 对租户全部日志事件行加 FOR UPDATE 锁(SQLite 忽略,
+// MySQL/PG 阻塞并发写入);事件可达数万,ID 不回传拼接 SQL,删除用条件语句,
+// 避免绑定变量上限。
+func lockTenantEventRows(tx *gorm.DB, id uint) error {
 	var rows []model.LogEvent
-	err := tx.Clauses(clause.Locking{Strength: "UPDATE"}).Select("id").
+	return tx.Clauses(clause.Locking{Strength: "UPDATE"}).Select("id").
 		Where("oci_config_id = ?", id).Order("id").Find(&rows).Error
-	ids := make([]uint, 0, len(rows))
-	for _, row := range rows {
-		ids = append(ids, row.ID)
-	}
-	return ids, err
-}
-
-func alertHitRuleIDs(tx *gorm.DB, eventIDs []uint) ([]uint, error) {
-	if len(eventIDs) == 0 {
-		return nil, nil
-	}
-	ids := make([]uint, 0)
-	err := tx.Model(&model.AlertRuleHit{}).Where("log_event_id IN ?", eventIDs).
-		Distinct().Pluck("rule_id", &ids).Error
-	if err != nil {
-		return nil, fmt.Errorf("load affected alert rules: %w", err)
-	}
-	return ids, nil
-}
-
-func mergeIDs(groups ...[]uint) []uint {
-	seen := make(map[uint]struct{})
-	out := make([]uint, 0)
-	for _, ids := range groups {
-		for _, id := range ids {
-			if _, ok := seen[id]; ok {
-				continue
-			}
-			seen[id] = struct{}{}
-			out = append(out, id)
-		}
-	}
-	return out
-}
-
-func deleteAlertHits(tx *gorm.DB, ruleIDs, eventIDs []uint) error {
-	query := tx.Model(&model.AlertRuleHit{})
-	switch {
-	case len(ruleIDs) > 0 && len(eventIDs) > 0:
-		query = query.Where("rule_id IN ? OR log_event_id IN ?", ruleIDs, eventIDs)
-	case len(ruleIDs) > 0:
-		query = query.Where("rule_id IN ?", ruleIDs)
-	case len(eventIDs) > 0:
-		query = query.Where("log_event_id IN ?", eventIDs)
-	default:
-		return nil
-	}
-	if err := query.Delete(&model.AlertRuleHit{}).Error; err != nil {
-		return fmt.Errorf("delete tenant alert hits: %w", err)
-	}
-	return nil
 }

 func deleteTenantAI(tx *gorm.DB, id uint, result *tenantDeleteResult) error {
@@ -448,9 +373,6 @@ func (s *OciConfigService) afterTenantDelete(ctx context.Context, result *tenant
 	if client, ok := s.client.(tenancyCacheInvalidator); ok {
 		client.InvalidateTenancy(result.config.TenancyOCID)
 	}
-	if s.cleanupEvents != nil {
-		s.cleanupEvents.ClearAlertCooldown(result.alertRuleIDs)
-	}
 	if s.cleanupTasks != nil {
 		s.cleanupTasks.ApplyTenantCleanup(ctx, result.deletedTaskIDs, result.channelsGone)
 	}
@@ -55,7 +55,7 @@ func newTenantDeleteEnv(t *testing.T, client oci.Client) (*OciConfigService, *Ta
 	}
 	configs := NewOciConfigService(db, cipher, client)
 	tasks := NewTaskService(db, configs, nil, nil)
-	configs.SetTenantCleanupDeps(tasks, nil)
+	configs.SetTenantCleanupDeps(tasks)
 	return configs, tasks, db
 }

@@ -64,7 +64,7 @@ func migrateTenantDeleteModels(t *testing.T, db *gorm.DB) {
 	err := db.AutoMigrate(
 		&model.OciConfig{}, &model.Task{}, &model.TaskLog{}, &model.Setting{},
 		&model.CheckSnapshot{}, &model.CostSnapshot{}, &model.RegionCache{}, &model.CompartmentCache{},
-		&model.LogEvent{}, &model.AlertRule{}, &model.AlertRuleHit{},
+		&model.LogEvent{},
 		&model.AiChannel{}, &model.AiModelCache{}, &model.AiCallLog{}, &model.AiContentLog{},
 		&model.Proxy{}, &model.AiKey{}, &model.SystemLog{},
 	)
@@ -108,7 +108,10 @@ func tenantTaskCases() []tenantTaskCase {
 		{name: "测活多租户", task: taskOf(model.TaskTypeHealthCheck, `{"ociConfigIds":[1,2]}`), wantOK: true, wantPayload: `{"ociConfigIds":[2]}`},
 		{name: "成本去重命中", task: taskOf(model.TaskTypeCost, `{"ociConfigIds":[1,1,2]}`), wantOK: true, wantPayload: `{"ociConfigIds":[2]}`},
 		{name: "成本未命中", task: taskOf(model.TaskTypeCost, `{"ociConfigIds":[2]}`)},
-		{name: "非法 JSON", task: taskOf(model.TaskTypeCost, `{`), wantErr: true},
+		// 坏 payload 记警告跳过(保留原任务),不再 fail-closed 阻断整个租户删除
+		{name: "非法 JSON 跳过", task: taskOf(model.TaskTypeCost, `{`)},
+		{name: "抢机坏 payload 跳过", task: taskOf(model.TaskTypeSnatch, `not-json`)},
+		{name: "抢机空 payload 跳过", task: taskOf(model.TaskTypeSnatch, ``)},
 	}
 }

@@ -159,19 +162,9 @@ func seedTenantEvents(t *testing.T, db *gorm.DB, target, other uint) {
 	t.Helper()
 	targetEvent := model.LogEvent{OciConfigID: target, MessageID: "target-event"}
 	otherEvent := model.LogEvent{OciConfigID: other, MessageID: "other-event"}
-	targetRule := model.AlertRule{Name: "target-rule", OciConfigID: target}
-	globalRule := model.AlertRule{Name: "global-rule", OciConfigID: 0}
-	for _, value := range []any{&targetEvent, &otherEvent, &targetRule, &globalRule} {
+	for _, value := range []any{&targetEvent, &otherEvent} {
 		mustCreate(t, db, value)
 	}
-	hits := []model.AlertRuleHit{
-		{RuleID: targetRule.ID, LogEventID: otherEvent.ID},
-		{RuleID: globalRule.ID, LogEventID: targetEvent.ID},
-		{RuleID: globalRule.ID, LogEventID: otherEvent.ID},
-	}
-	for i := range hits {
-		mustCreate(t, db, &hits[i])
-	}
 }

 func seedTenantAI(t *testing.T, db *gorm.DB, target, other uint) {
@@ -199,7 +192,7 @@ func assertTenantRowsGone(t *testing.T, db *gorm.DB, id uint) {
 	rows := []any{
 		&model.OciConfig{}, &model.CheckSnapshot{}, &model.CostSnapshot{},
 		&model.RegionCache{}, &model.CompartmentCache{}, &model.LogEvent{},
-		&model.AlertRule{}, &model.AiChannel{},
+		&model.AiChannel{},
 	}
 	for _, value := range rows {
 		column := "oci_config_id"
@@ -209,7 +202,6 @@ func assertTenantRowsGone(t *testing.T, db *gorm.DB, id uint) {
 		assertCount(t, db, value, column+" = ?", []any{id}, 0)
 	}
 	assertCount(t, db, &model.Setting{}, "key = ?", []any{secretKey(id)}, 0)
-	assertCount(t, db, &model.AlertRuleHit{}, "", nil, 1)
 	assertCount(t, db, &model.AiModelCache{}, "", nil, 1)
 	assertCount(t, db, &model.AiCallLog{}, "", nil, 1)
 	assertCount(t, db, &model.AiContentLog{}, "", nil, 1)
@@ -245,31 +237,10 @@ func assertRemainingIndirectRows(t *testing.T, db *gorm.DB, otherID uint) {
 		t.Fatalf("load other AI call: %v", err)
 	}
 	assertCount(t, db, &model.AiContentLog{}, "call_log_id = ?", []any{call.ID}, 1)
-	assertRemainingAlertHit(t, db, otherID)
-}
-
-func assertRemainingAlertHit(t *testing.T, db *gorm.DB, otherID uint) {
-	t.Helper()
-	var hit model.AlertRuleHit
-	if err := db.First(&hit).Error; err != nil {
-		t.Fatalf("load remaining alert hit: %v", err)
-	}
-	var rule model.AlertRule
-	var event model.LogEvent
-	if err := db.First(&rule, hit.RuleID).Error; err != nil {
-		t.Fatalf("load remaining rule: %v", err)
-	}
-	if err := db.First(&event, hit.LogEventID).Error; err != nil {
-		t.Fatalf("load remaining event: %v", err)
-	}
-	if rule.OciConfigID != 0 || event.OciConfigID != otherID {
-		t.Errorf("remaining hit = rule cfg %d/event cfg %d, want global/other", rule.OciConfigID, event.OciConfigID)
-	}
 }

 func assertRetainedGlobals(t *testing.T, db *gorm.DB) {
 	t.Helper()
-	assertCount(t, db, &model.AlertRule{}, "oci_config_id = 0", nil, 1)
 	assertCount(t, db, &model.Proxy{}, "", nil, 1)
 	assertCount(t, db, &model.AiKey{}, "", nil, 1)
 	assertCount(t, db, &model.SystemLog{}, "", nil, 1)
@@ -607,3 +578,38 @@ func assertCount(t *testing.T, db *gorm.DB, value any, query string, args []any,
 		t.Errorf("count %T = %d, want %d", value, got, want)
 	}
 }
+
+func TestDeleteTenantSkipsCorruptTaskPayload(t *testing.T) {
+	configs, _, db := newTenantDeleteEnv(t, &fakeClient{})
+	target, _ := seedDeleteTenants(t, db)
+	corrupt := model.Task{Name: "corrupt-snatch", Type: model.TaskTypeSnatch, Payload: `{broken`}
+	mustCreate(t, db, &corrupt)
+	mustCreate(t, db, &model.TaskLog{TaskID: corrupt.ID, Message: "keep"})
+
+	if err := configs.Delete(context.Background(), target.ID); err != nil {
+		t.Fatalf("坏 payload 不应阻断租户删除: %v", err)
+	}
+	var kept model.Task
+	if err := db.First(&kept, corrupt.ID).Error; err != nil || kept.Payload != `{broken` {
+		t.Errorf("坏任务应原样保留: %+v, %v", kept, err)
+	}
+	assertCount(t, db, &model.TaskLog{}, "task_id = ?", []any{corrupt.ID}, 1)
+	assertCount(t, db, &model.OciConfig{}, "id = ?", []any{target.ID}, 0)
+}
+
+func TestDeleteTenantManyEventsNoVarLimit(t *testing.T) {
+	// 回归:事件数超 SQLite 绑定变量上限(32766)时删除仍成功(旧实现 IN 展开必失败)
+	configs, _, db := newTenantDeleteEnv(t, &fakeClient{})
+	target, _ := seedDeleteTenants(t, db)
+	events := make([]model.LogEvent, 0, 33000)
+	for i := 0; i < 33000; i++ {
+		events = append(events, model.LogEvent{OciConfigID: target.ID, MessageID: fmt.Sprintf("bulk-%d", i)})
+	}
+	if err := db.CreateInBatches(&events, 500).Error; err != nil {
+		t.Fatalf("seed events: %v", err)
+	}
+	if err := configs.Delete(context.Background(), target.ID); err != nil {
+		t.Fatalf("数万事件时删除不应受绑定变量上限影响: %v", err)
+	}
+	assertCount(t, db, &model.LogEvent{}, "oci_config_id = ?", []any{target.ID}, 0)
+}
Author	SHA1	Message	Date
wangdefa	9309ad1ffc	修复 AI 网关流式断流:错误透传、自动降级,max_tokens 可缺省 CI / test (push) Successful in 33s Details Release / release (push) Successful in 56s Details	2026-07-13 15:06:01 +08:00
wangdefa	81d4650f3d	代理批量关联租户接口、关于页运行时与资源指标 CI / test (push) Successful in 31s Details Release / release (push) Successful in 57s Details	2026-07-13 12:23:18 +08:00
wangdefa	c7cc5616ed	发布 0.3.0：恢复 Chat 接口并增强云端事件通知 CI / test (push) Successful in 31s Details Release / release (push) Successful in 48s Details	2026-07-13 10:13:44 +08:00
wangdefa	489cb49cb3	AI 网关切换 OpenAI 兼容面并移除 chat 端点,新增模型黑白名单 CI / test (push) Successful in 31s Details Release / release (push) Successful in 54s Details	2026-07-12 17:48:28 +08:00
wangdefa	7706f59549	发布 0.2.0:模型池自愈、探测修正、任务异步触发与删除加固 CI / test (push) Successful in 32s Details Release / release (push) Successful in 52s Details	2026-07-10 20:25:37 +08:00
@@ -1 +1 @@
 .6.5
 .6.6