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v2026.03.0
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.agent/agent_hub.db
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.agent/agent_hub.db
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# Async Context Compression Progress Mapping
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> Discovered: 2026-03-10
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## Context
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Applies to `plugins/filters/async-context-compression/async_context_compression.py` once the inlet has already replaced early history with a synthetic summary message.
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## Finding
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`compressed_message_count` cannot be recalculated from the visible message list length after compression. Once a summary marker is present, the visible list mixes:
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- preserved head messages that are still before the saved boundary
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- one synthetic summary message
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- tail messages that map to original history starting at the saved boundary
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## Solution / Pattern
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Store the original-history boundary on the injected summary message metadata, then recover future progress using:
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- `original_count = covered_until + len(messages_after_summary_marker)`
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- `target_progress = max(covered_until, original_count - keep_last)`
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When the summary-model window is too small, trim newest atomic groups from the summary input so the saved boundary still matches what the summary actually covers.
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## Gotchas
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- If you trim from the head of the summary input, the saved progress can overstate coverage and hide messages that were never summarized.
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- Status previews for the next context must convert the saved original-history boundary back into the current visible view before rebuilding head/summary/tail.
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- `inlet(body["messages"])` and `outlet(body["messages"])` can both represent the full conversation while using different serializations:
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- inlet may receive expanded native tool-call chains (`assistant(tool_calls) -> tool -> assistant`)
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- outlet may receive a compact top-level transcript where tool calls are folded into assistant `<details type="tool_calls">` blocks
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- These two views do not share a safe `compressed_message_count` coordinate system. If outlet is in the compact assistant/details view, do not persist summary progress derived from its top-level message count.
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171
.agent/learnings/filter-async-context-compression-design.md
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171
.agent/learnings/filter-async-context-compression-design.md
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# Filter: async-context-compression 设计模式与工程实践
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**日期**: 2026-03-12
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**模块**: `plugins/filters/async-context-compression/async_context_compression.py`
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**关键特性**: 上下文压缩、异步摘要生成、状态管理、LLM 工程优化
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---
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## 核心工程洞察
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### 1. Request 对象的 Filter-to-LLM 传导链
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**问题**:Filter 的 `outlet` 阶段启动背景异步任务(`asyncio.create_task`)调用 `generate_chat_completion`(内部 API),但无法直接访问原始 HTTP `request`。早期代码用最小化合成 Request(仅 `{"type": "http", "app": webui_app}`),暴露兼容性风险。
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**解决方案**:
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- OpenWebUI 对 `outlet` 同样支持 `__request__` 参数注入(即 `inlet` + `outlet` 都支持)
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- 透传 `__request__` 通过整个异步调用链:`outlet → _locked_summary_task → _check_and_generate_summary_async → _generate_summary_async → _call_summary_llm`
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- 在最终调用处:`request = __request__ or Request(...)`(兜底降级)
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**收获**:LLM 调用路径应始终倾向于使用真实请求上下文,而非人工合成。即使后台任务中,`request.app` 的应用级状态仍持续有效。
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---
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### 2. 异步摘要生成中的上下文完整性
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**关键场景分化**:
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| 情况 | `summary_index` 值 | 旧摘要位置 | 需要 `previous_summary` |
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|------|--------|----------|---------|
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| Inlet 已注入旧摘要 | Not None | `messages[0]`(middle_messages 首项) | ❌ 否,已在 conversation_text 中 |
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| Outlet 收原始消息(未注入) | None | DB 存档 | ✅ **是**,必须显式读取并透传 |
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**问题根源**:`outlet` 收到的消息来自原始数据库查询,未经过 `inlet` 的摘要注入。当 LLM 看不到历史摘要时,已压缩的知识(旧对话、已解决的问题、先前的发现)会被重新处理或遗忘。
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**实现要点**:
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```python
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# 仅当 summary_index is None 时异步加载旧摘要
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if summary_index is None:
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previous_summary = await asyncio.to_thread(
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self._load_summary, chat_id, body
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)
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else:
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previous_summary = None
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```
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---
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### 3. 上下文压缩的 LLM Prompt 设计
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**工程原则**:
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1. **Clear Input Boundaries**:用 XML 风格标签(`<previous_working_memory>`, `<new_conversation>`)明确分界,避免 LLM 混淆"指令示例"与"待处理数据"
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2. **State-Aware Merging**:不是"保留所有旧事实",而是**更新状态**——`"bug X exists" → "bug X fixed"` 或彻底移除已解决项
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3. **Goal Evolution**:Current Goal 反映**最新**意图;旧目标迁移到 Working Memory 作为上下文
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4. **Error Verbatim**:Stack trace、异常类型、错误码必须逐字引用(是调试的一等公民)
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5. **Format Strictness**:结构变为 **REQUIRED**(而非 Suggested),允许零内容项省略,但布局一致
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**新 Prompt 结构**:
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```
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[Rules] → [Output Constraints] → [Required Structure Header] → [Boundaries] → <previous_working_memory> → <new_conversation>
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```
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关键改进:
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- 规则 3(Ruthless Denoising) → 新增规则 4(Error Verbatim) + 规则 5(Causal Chain)
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- "Suggested" Structure → "Required" Structure with Optional Sections
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- 新增 `## Causal Log` 专项,强制单行因果链格式:`[MSG_ID?] action → result`
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- Token 预算策略明确:按近期性和紧迫性优先裁剪(RRF)
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---
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### 4. 异步任务中的错误边界与恢复
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**现象**:背景摘要生成任务(`asyncio.create_task`)的异常不会阻塞用户响应,但需要:
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- 完整的日志链路(`_log` 调用 + `event_emitter` 通知)
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- 数据库事务的原子性(摘要和压缩状态同时保存)
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- 前端 UI 反馈(status event: "generating..." → "complete" 或 "error")
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**最佳实践**:
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- 用 `asyncio.Lock` 按 chat_id 防止并发摘要任务
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- 后台执行繁重操作(tokenize、LLM call)用 `asyncio.to_thread`
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- 所有 I/O(DB reads/writes)需包裹异步线程池
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- 异常捕获限制在 try-except,日志不要吞掉堆栈信息
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---
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### 5. Filter 单例与状态设计陷阱
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**约束**:Filter 实例是全局单例,所有会话共享同一个 `self`。
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**禁忌**:
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```python
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# ❌ 错误:self.temp_buffer = ... (会被其他并发会话污染)
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self.temp_state = body # 危险!
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# ✅ 正确:无状态或使用锁/chat_id 隔离
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self._chat_locks[chat_id] = asyncio.Lock() # 每个 chat 一个锁
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```
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**设计**:
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- Valves(Pydantic BaseModel)保存全局配置 ✅
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- 使用 dict 按 `chat_id` 键维护临时状态(lock、计数器)✅
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- 传参而非全局变量保存请求级数据 ✅
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---
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## 集成场景:Filter + Pipe 的配合
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**当 Pipe 模型调用 Filter 时**:
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1. `inlet` 注入摘要,削减上下文会话消息数
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2. Pipe 模型(通常为 Copilot SDK 或自定义内核)处理精简消息
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3. `outlet` 触发背景摘要,无阻塞用户响应
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4. 下一轮对话时,`inlet` 再次注入最新摘要
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**关键约束**:
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- `_should_skip_compression` 检测 `__model__.get("pipe")` 或 `copilot_sdk`,必要时跳过注入
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- Pipe 模型若有自己的上下文管理(如 Copilot 的 native tool calling),过度压缩会失去工具调用链
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- 摘要模型选择(`summary_model` Valve)应兼容当前 Pipe 环境的 API(推荐用通用模型如 gemini-flash)
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||||
---
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||||
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||||
## 内部 API 契约速记
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||||
### `generate_chat_completion(request, payload, user)`
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||||
- **request**: FastAPI Request;可来自真实 HTTP 或 `__request__` 注入
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- **payload**: `{"model": id, "messages": [...], "stream": false, "max_tokens": N, "temperature": T}`
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- **user**: UserModel;从 DB 查询或 `__user__` 转换(需 `Users.get_user_by_id()`)
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- **返回**: dict 或 JSONResponse;若是后者需 `response.body.decode()` + JSON parse
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### Filter 生命周期
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||||
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```
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New Message → inlet (User input) → [Plugins wait] → LLM → outlet (Response) → Summary Task (Background)
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```
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---
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## 调试清单
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- [ ] `__request__` 在 `outlet` 签名中声明且被 OpenWebUI 注入(非 None)
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- [ ] 异步调用链中每层都透传 `__request__`,最底层兜底合成
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- [ ] `summary_index is None` 时从 DB 异步读取 `previous_summary`
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- [ ] LLM Prompt 中 `<previous_working_memory>` 和 `<new_conversation>` 有明确边界
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- [ ] 错误处理不吞堆栈:`logger.exception()` 或 `exc_info=True`
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- [ ] `asyncio.Lock` 按 chat_id 避免并发工作冲突
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- [ ] Copilot SDK / Pipe 模型需 `_should_skip_compression()` 检查
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- [ ] Token budget 在 max_summary_tokens 下规划,优先保留近期事件
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---
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## 相关文件
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- 核心实现:`plugins/filters/async-context-compression/async_context_compression.py`
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- README:`plugins/filters/async-context-compression/README.md` + `README_CN.md`
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- OpenWebUI 内部:`open_webui/utils/chat.py` → `generate_chat_completion()`
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---
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**版本**: 1.0
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**维护者**: Fu-Jie
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**最后更新**: 2026-03-12
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45
.agent/learnings/openwebui-community-api.md
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45
.agent/learnings/openwebui-community-api.md
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# OpenWebUI Community API Patterns
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## Post Data Structure Variations
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When fetching posts from the OpenWebUI Community API (`https://api.openwebui.com/api/v1/posts/...`), the structure of the `data` field varies significantly depending on the `type` of the post.
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### Observed Mappings
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| Post Type | Data Key (under `data`) | Usual Content |
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|-----------|-------------------------|---------------|
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| `action` | `function` | Plugin code and metadata |
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| `filter` | `function` | Filter logic and metadata |
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| `pipe` | `function` | Pipe logic and metadata |
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| `tool` | `tool` | Tool definition and logic |
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| `prompt` | `prompt` | Prompt template strings |
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| `model` | `model` | Model configuration |
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### Implementation Workaround
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||||
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To robustly extract metadata (like `version` or `description`) regardless of the post type, the following heuristic logic is recommended:
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```python
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def _get_plugin_obj(post: dict) -> dict:
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data = post.get("data", {}) or {}
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post_type = post.get("type")
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# Priority 1: Use specific type key
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if post_type in data:
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return data[post_type]
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# Priority 2: Fallback to common keys
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for k in ["function", "tool", "pipe"]:
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if k in data:
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return data[k]
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# Priority 3: First available key
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if data:
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||||
return list(data.values())[0]
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||||
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||||
return {}
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```
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### Gotchas
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- Some older posts or different categories might not have a `version` field in `manifest`, leading to empty strings or `N/A` in reports.
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- `slug` should be used as the unique identifier rather than `title` when tracking stats across history.
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26
.agent/learnings/openwebui-tool-call-context-inflation.md
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26
.agent/learnings/openwebui-tool-call-context-inflation.md
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# OpenWebUI Tool Call Context Inflation
|
||||
|
||||
> Discovered: 2026-03-11
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|
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## Context
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When analyzing why the `async_context_compression` plugin sees different array lengths of `messages` between the `inlet` (e.g. 27 items) and `outlet` (e.g. 8 items) phases, especially when native tool calling (Function Calling) is involved in OpenWebUI.
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||||
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## Finding
|
||||
There is a fundamental disparity in how OpenWebUI serializes conversational history at different stages of the request lifecycle:
|
||||
|
||||
1. **Outlet (UI Rendering View)**:
|
||||
After the LLM completes generation and tools have been executed, OpenWebUI's `middleware.py` (and streaming builders) bundles intermediate tool calls and their raw results. It hides them inside an HTML `<details type="tool_calls">...</details>` block within a single `role: assistant` message's `content`.
|
||||
Concurrently, the actual native API tool-calling data is saved in a hidden `output` dict field attached to that message. At this stage, the `messages` array looks short (e.g., 8 items) because tool interactions are visually folded.
|
||||
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||||
2. **Inlet (LLM Native View)**:
|
||||
When the user sends the *next* message, the request enters `main.py` -> `process_chat_payload` -> `middleware.py:process_messages_with_output()`.
|
||||
Here, OpenWebUI scans historical `assistant` messages for that hidden `output` field. If found, it completely **inflates (unfolds)** the raw data back into an exact sequence of OpenAI-compliant `tool_call` and `tool_result` messages (using `utils/misc.py:convert_output_to_messages`).
|
||||
The HTML `<details>` string is entirely discarded before being sent to the LLM.
|
||||
|
||||
**Conclusion on Token Consumption**:
|
||||
In the next turn, tool context is **NOT** compressed at all. It is fully re-expanded to its original verbose state (e.g., back to 27 items) and consumes the maximum amount of tokens required by the raw JSON arguments and results.
|
||||
|
||||
## Gotchas
|
||||
- Any logic operating in the `outlet` phase (like background tasks) that relies on the `messages` array index will be completely misaligned with the array seen in the `inlet` phase.
|
||||
- Attempting to slice or trim history based on `outlet` array lengths will cause index out-of-bounds errors or destructive cropping of recent messages.
|
||||
- The only safe way to bridge these two views is either to translate the folded view back into the expanded view using `convert_output_to_messages`, or to rely on unique `id` fields (if available) rather than array indices.
|
||||
29
.agent/rules/agent_protocol.md
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29
.agent/rules/agent_protocol.md
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|
||||
# Agent Coordination Protocol (FOR AGENTS ONLY)
|
||||
|
||||
## 🛡️ The Golden Rule
|
||||
**NEVER modify code without verifying the lock status in the Agent Hub.**
|
||||
|
||||
## 🔑 Identity Management
|
||||
- `claude-code`: Official Claude CLI
|
||||
- `copilot-agent`: GitHub Copilot
|
||||
- `gemini-cursor`: Cursor IDE or Gemini extension
|
||||
- `iflow-agent`: iFlow SDK agent
|
||||
|
||||
## 🛠️ The Synchronization Tool
|
||||
Script: `scripts/agent_sync.py` (SQLite-backed)
|
||||
|
||||
### 🏎️ Workflow Lifecycle
|
||||
1. **Initialize Session**:
|
||||
- `python3 scripts/agent_sync.py status`
|
||||
- `python3 scripts/agent_sync.py register <id> <name> "<objective>"`
|
||||
2. **Resource Acquisition**:
|
||||
- `python3 scripts/agent_sync.py lock <id> <file_path>`
|
||||
- If blocked, identify the owner from `status` and do not attempt to bypass.
|
||||
3. **Collaboration (Research Mode)**:
|
||||
- If the project mode is `RESEARCH`, prioritize the `note` command.
|
||||
- Summarize findings: `python3 scripts/agent_sync.py note <id> "<topic>" "<summary>"`
|
||||
4. **Cleanup**:
|
||||
- `python3 scripts/agent_sync.py unlock <id> <file_path>`
|
||||
|
||||
## 📜 Shared Memory
|
||||
Read `.agent/learnings/` to avoid reinventing the wheel.
|
||||
0
.agent/shared_context/.gitkeep
Normal file
0
.agent/shared_context/.gitkeep
Normal file
8
.cursorrules
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8
.cursorrules
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@@ -0,0 +1,8 @@
|
||||
# 🤖 Cursor/Gemini Multi-Agent Protocol
|
||||
|
||||
1. **STATUS CHECK**: Always run `python3 scripts/agent_sync.py status` first.
|
||||
2. **REGISTRATION**: Run `python3 scripts/agent_sync.py register gemini-id "Gemini" "Current task"`.
|
||||
3. **LOCKING**: Never edit without `python3 scripts/agent_sync.py lock gemini-id <path>`.
|
||||
4. **STANDARDS**: Refer to `.agent/rules/plugin_standards.md` for coding guidelines.
|
||||
|
||||
Full details in `COOPERATION.md`.
|
||||
@@ -73,11 +73,21 @@ Create two versioned release notes files:
|
||||
#### Required Sections
|
||||
|
||||
Each file must include:
|
||||
1. **Title**: `# v{version} Release Notes` (EN) / `# v{version} 版本发布说明` (CN)
|
||||
2. **Overview**: One paragraph summarizing this release
|
||||
3. **New Features** / **新功能**: Bulleted list of features
|
||||
4. **Bug Fixes** / **问题修复**: Bulleted list of fixes
|
||||
5. **Migration Notes** / **迁移说明**: Breaking changes or Valve key renames (omit section if none)
|
||||
0. **Marketplace Badge**: A prominent button linking to the plugin on openwebui.com using shields.io (e.g., `[](URL)`).
|
||||
1. **Overview Header**: Use `## Overview` as the first header.
|
||||
2. **Summary Paragraph**: A paragraph summarizing the release. **NEVER** include the version number as a title.
|
||||
3. **README Link**: Direct link to the plugin's README file on GitHub.
|
||||
4. **New Features** / **新功能**: Bulleted list of features
|
||||
5. **Bug Fixes** / **问题修复**: Bulleted list of fixes
|
||||
6. **Related Issues** / **相关 Issue**: Link to GitHub Issues. **ONLY** include if a specific issue is resolved. **NEVER use placeholders.**
|
||||
7. **Related PRs** / **相关 PR**: Link to the Pull Request. **ONLY** include if the PR is already created and the ID is known. **NEVER use placeholders.**
|
||||
8. **Migration Notes**: Breaking changes or Valve key renames (omit section if none)
|
||||
|
||||
---
|
||||
|
||||
## Language Standard
|
||||
|
||||
- **Release Notes Files**: Use **English ONLY** for the final `.md` files to maintain professional consistency on GitHub. Avoid bilingual content in the release description.
|
||||
6. **Companion Plugins** / **配套插件** (optional): If a companion plugin was updated
|
||||
|
||||
If a release notes file already exists for this version, update it rather than creating a new one.
|
||||
@@ -98,8 +108,10 @@ Generate the commit message following `commit-message.instructions.md` rules:
|
||||
- **Language**: English ONLY
|
||||
- **Format**: `type(scope): subject` + blank line + body bullets
|
||||
- **Scope**: use plugin folder name (e.g., `github-copilot-sdk`)
|
||||
- **Body**: 1-3 bullets summarizing key changes
|
||||
- Explicitly mention "READMEs and docs synced" if version was bumped
|
||||
- **Body**:
|
||||
- 1-3 bullets summarizing key changes
|
||||
- Explicitly mention "READMEs and docs synced" if version was bumped
|
||||
- **MUST** end with `Closes #XX` or `Fixes #XX` if an issue is being resolved.
|
||||
|
||||
Present the full commit message to the user for review before executing.
|
||||
|
||||
|
||||
23
.github/agents/release-prep.agent.md
vendored
23
.github/agents/release-prep.agent.md
vendored
@@ -78,5 +78,28 @@ Plugin: {type}/{name} → v{new_version}
|
||||
### Verification Status
|
||||
{filled-in 9-file checklist for each changed plugin}
|
||||
|
||||
## Post-Release: Batch Plugin Installation
|
||||
|
||||
After release is published, users can quickly install all plugins:
|
||||
|
||||
```bash
|
||||
# Clone the repository
|
||||
git clone https://github.com/Fu-Jie/openwebui-extensions.git
|
||||
cd openwebui-extensions
|
||||
|
||||
# Setup API key and instance URL
|
||||
echo "api_key=sk-your-api-key-here" > scripts/.env
|
||||
echo "url=http://localhost:3000" >> scripts/.env
|
||||
|
||||
# If using remote instance, configure the baseURL:
|
||||
# echo "url=http://192.168.1.10:3000" >> scripts/.env
|
||||
# echo "url=https://openwebui.example.com" >> scripts/.env
|
||||
|
||||
# Install all plugins at once
|
||||
python scripts/install_all_plugins.py
|
||||
```
|
||||
|
||||
See: [Deployment Guide](./scripts/DEPLOYMENT_GUIDE.md)
|
||||
|
||||
---
|
||||
⚠️ **Waiting for user confirmation — no git operations will run until explicitly approved.**
|
||||
|
||||
150
.github/skills/publish-no-version-bump/SKILL.md
vendored
Normal file
150
.github/skills/publish-no-version-bump/SKILL.md
vendored
Normal file
@@ -0,0 +1,150 @@
|
||||
---
|
||||
name: publish-no-version-bump
|
||||
description: Commit and push code to GitHub, then publish to OpenWebUI official marketplace without updating version. Use when fixing bugs or optimizing performance that doesn't warrant a version bump.
|
||||
---
|
||||
|
||||
# Publish Without Version Bump
|
||||
|
||||
## Overview
|
||||
|
||||
This skill handles the workflow for pushing code changes to the remote repository and syncing them to the OpenWebUI official marketplace **without incrementing the plugin version number**.
|
||||
|
||||
This is useful for:
|
||||
- Bug fixes and patches
|
||||
- Performance optimizations
|
||||
- Code refactoring
|
||||
- Documentation fixes
|
||||
- Linting and code quality improvements
|
||||
|
||||
## When to Use
|
||||
|
||||
Use this skill when:
|
||||
- You've made non-breaking changes (bug fixes, optimizations, refactoring)
|
||||
- The functionality hasn't changed significantly
|
||||
- The user-facing behavior is unchanged or only improved
|
||||
- There's no need to bump the semantic version
|
||||
|
||||
**Do NOT use** if:
|
||||
- You're adding new features → use `release-prep` instead
|
||||
- You're making breaking changes → use `release-prep` instead
|
||||
- The version should be incremented → use `version-bumper` first
|
||||
|
||||
## Workflow
|
||||
|
||||
### Step 1 — Stage and Commit Changes
|
||||
|
||||
Ensure all desired code changes are staged in git:
|
||||
|
||||
```bash
|
||||
git status # Verify what will be committed
|
||||
git add -A # Stage all changes
|
||||
```
|
||||
|
||||
Create a descriptive commit message using Conventional Commits format:
|
||||
|
||||
```
|
||||
fix(plugin-name): brief description
|
||||
- Detailed change 1
|
||||
- Detailed change 2
|
||||
```
|
||||
|
||||
Example commit types:
|
||||
- `fix:` — Bug fixes, patches
|
||||
- `perf:` — Performance improvements, optimization
|
||||
- `refactor:` — Code restructuring without behavior change
|
||||
- `test:` — Test updates
|
||||
- `docs:` — Documentation changes
|
||||
|
||||
**Key Rule**: The commit message should make clear that this is NOT a new feature release (no `feat:` type).
|
||||
|
||||
### Step 2 — Push to Remote
|
||||
|
||||
Push the commit to the main branch:
|
||||
|
||||
```bash
|
||||
git commit -m "<message>" && git push
|
||||
```
|
||||
|
||||
Verify the push succeeded by checking GitHub.
|
||||
|
||||
### Step 3 — Publish to Official Marketplace
|
||||
|
||||
Run the publish script with `--force` flag to update the marketplace without version change:
|
||||
|
||||
```bash
|
||||
python scripts/publish_plugin.py --force
|
||||
```
|
||||
|
||||
**Important**: The `--force` flag ensures the marketplace version is updated even if the version string in the plugin file hasn't changed.
|
||||
|
||||
### Step 4 — Verify Publication
|
||||
|
||||
Check that the plugin was successfully updated in the official marketplace:
|
||||
1. Visit https://openwebui.com/f/
|
||||
2. Search for your plugin name
|
||||
3. Verify the code is up-to-date
|
||||
4. Confirm the version number **has NOT changed**
|
||||
|
||||
---
|
||||
|
||||
## Command Reference
|
||||
|
||||
### Full Workflow (Manual)
|
||||
|
||||
```bash
|
||||
# 1. Stage and commit
|
||||
git add -A
|
||||
git commit -m "fix(copilot-sdk): description here"
|
||||
|
||||
# 2. Push
|
||||
git push
|
||||
|
||||
# 3. Publish to marketplace
|
||||
python scripts/publish_plugin.py --force
|
||||
|
||||
# 4. Verify
|
||||
# Check OpenWebUI marketplace for the updated code
|
||||
```
|
||||
|
||||
### Automated (Using This Skill)
|
||||
|
||||
When you invoke this skill with a plugin path, Copilot will:
|
||||
1. Verify staged changes and create the commit
|
||||
2. Push to the remote repository
|
||||
3. Execute the publish script
|
||||
4. Report success/failure status
|
||||
|
||||
---
|
||||
|
||||
## Implementation Notes
|
||||
|
||||
### Version Handling
|
||||
|
||||
- The plugin's version string in `docstring` (line ~10) remains **unchanged**
|
||||
- The `openwebui_id` in the plugin file must be present for the publish script to work
|
||||
- If the plugin hasn't been published before, use `publish_plugin.py --new <dir>` instead
|
||||
|
||||
### Dry Run
|
||||
|
||||
To preview what would be published without actually updating the marketplace:
|
||||
|
||||
```bash
|
||||
python scripts/publish_plugin.py --force --dry-run
|
||||
```
|
||||
|
||||
### Troubleshooting
|
||||
|
||||
| Issue | Solution |
|
||||
|-------|----------|
|
||||
| `Error: openwebui_id not found` | The plugin hasn't been published yet. Use `publish_plugin.py --new <dir>` for first-time publishing. |
|
||||
| `Failed to authenticate` | Check that the `OPENWEBUI_API_KEY` environment variable is set. |
|
||||
| `Skipped (version unchanged)` | This is normal. Without `--force`, unchanged versions are skipped. We use `--force` to override this. |
|
||||
|
||||
---
|
||||
|
||||
## Related Skills
|
||||
|
||||
- **`release-prep`** — Use when you need to bump the version and create release notes
|
||||
- **`version-bumper`** — Use to manually update version across all 7+ files
|
||||
- **`pr-submitter`** — Use to create a PR instead of pushing directly to main
|
||||
|
||||
16
.github/workflows/community-stats.yml
vendored
16
.github/workflows/community-stats.yml
vendored
@@ -38,9 +38,12 @@ jobs:
|
||||
id: old_stats
|
||||
run: |
|
||||
if [ -f docs/community-stats.json ]; then
|
||||
cp docs/community-stats.json docs/community-stats.json.old
|
||||
echo "total_posts=$(jq -r '.total_posts // 0' docs/community-stats.json)" >> $GITHUB_OUTPUT
|
||||
echo "versions=$(jq -r '[.posts[] | {slug: .slug, version: .version}] | sort_by(.slug) | map("\(.slug):\(.version)") | join(",")' docs/community-stats.json)" >> $GITHUB_OUTPUT
|
||||
else
|
||||
echo "total_posts=0" >> $GITHUB_OUTPUT
|
||||
echo "versions=" >> $GITHUB_OUTPUT
|
||||
fi
|
||||
|
||||
- name: Generate stats report
|
||||
@@ -56,12 +59,15 @@ jobs:
|
||||
id: new_stats
|
||||
run: |
|
||||
echo "total_posts=$(jq -r '.total_posts // 0' docs/community-stats.json)" >> $GITHUB_OUTPUT
|
||||
echo "versions=$(jq -r '[.posts[] | {slug: .slug, version: .version}] | sort_by(.slug) | map("\(.slug):\(.version)") | join(",")' docs/community-stats.json)" >> $GITHUB_OUTPUT
|
||||
|
||||
- name: Check for significant changes
|
||||
id: check_changes
|
||||
run: |
|
||||
OLD_POSTS="${{ steps.old_stats.outputs.total_posts }}"
|
||||
NEW_POSTS="${{ steps.new_stats.outputs.total_posts }}"
|
||||
OLD_VERSIONS="${{ steps.old_stats.outputs.versions }}"
|
||||
NEW_VERSIONS="${{ steps.new_stats.outputs.versions }}"
|
||||
|
||||
SHOULD_COMMIT="false"
|
||||
CHANGE_REASON=""
|
||||
@@ -69,14 +75,20 @@ jobs:
|
||||
if [ "$NEW_POSTS" -gt "$OLD_POSTS" ]; then
|
||||
SHOULD_COMMIT="true"
|
||||
CHANGE_REASON="new plugin added ($OLD_POSTS -> $NEW_POSTS)"
|
||||
echo "📦 New plugin detected: $OLD_POSTS -> $NEW_POSTS"
|
||||
elif [ "$NEW_POSTS" -lt "$OLD_POSTS" ]; then
|
||||
SHOULD_COMMIT="true"
|
||||
CHANGE_REASON="plugin removed ($OLD_POSTS -> $NEW_POSTS)"
|
||||
elif [ "$OLD_VERSIONS" != "$NEW_VERSIONS" ]; then
|
||||
SHOULD_COMMIT="true"
|
||||
CHANGE_REASON="plugin versions updated"
|
||||
echo "🔄 Version change detected"
|
||||
fi
|
||||
|
||||
echo "should_commit=$SHOULD_COMMIT" >> $GITHUB_OUTPUT
|
||||
echo "change_reason=$CHANGE_REASON" >> $GITHUB_OUTPUT
|
||||
|
||||
if [ "$SHOULD_COMMIT" = "false" ]; then
|
||||
echo "ℹ️ No significant changes detected, skipping commit"
|
||||
echo "ℹ️ No significant changes (posts or versions), skipping commit"
|
||||
else
|
||||
echo "✅ Significant changes detected: $CHANGE_REASON"
|
||||
fi
|
||||
|
||||
239
.github/workflows/release.yml
vendored
239
.github/workflows/release.yml
vendored
@@ -5,13 +5,13 @@
|
||||
# Triggers:
|
||||
# - Push to main branch when plugins are modified (auto-release)
|
||||
# - Manual trigger (workflow_dispatch) with custom release notes
|
||||
# - Push of version tags (v*)
|
||||
# - Push of plugin version tags (<plugin>-v*)
|
||||
#
|
||||
# What it does:
|
||||
# 1. Detects plugin version changes compared to the last release
|
||||
# 2. Generates release notes with updated plugin information
|
||||
# 3. Creates a GitHub Release with plugin files as downloadable assets
|
||||
# 4. Supports multiple plugin updates in a single release
|
||||
# 4. Enforces one plugin creation/update per release
|
||||
|
||||
name: Plugin Release
|
||||
|
||||
@@ -28,13 +28,14 @@ on:
|
||||
- 'plugins/**/v*_CN.md'
|
||||
- 'docs/plugins/**/*.md'
|
||||
tags:
|
||||
- '*-v*'
|
||||
- 'v*'
|
||||
|
||||
# Manual trigger with inputs
|
||||
workflow_dispatch:
|
||||
inputs:
|
||||
version:
|
||||
description: 'Release version (e.g., v1.0.0). Leave empty for auto-generated version.'
|
||||
description: 'Release tag (e.g., markdown-normalizer-v1.2.8). Leave empty for auto-generated tag.'
|
||||
required: false
|
||||
type: string
|
||||
release_title:
|
||||
@@ -65,9 +66,15 @@ jobs:
|
||||
outputs:
|
||||
has_changes: ${{ steps.detect.outputs.has_changes }}
|
||||
changed_plugins: ${{ steps.detect.outputs.changed_plugins }}
|
||||
changed_plugin_title: ${{ steps.detect.outputs.changed_plugin_title }}
|
||||
changed_plugin_slug: ${{ steps.detect.outputs.changed_plugin_slug }}
|
||||
changed_plugin_version: ${{ steps.detect.outputs.changed_plugin_version }}
|
||||
changed_plugin_count: ${{ steps.detect.outputs.changed_plugin_count }}
|
||||
release_notes: ${{ steps.detect.outputs.release_notes }}
|
||||
has_doc_changes: ${{ steps.detect.outputs.has_doc_changes }}
|
||||
changed_doc_files: ${{ steps.detect.outputs.changed_doc_files }}
|
||||
previous_release_tag: ${{ steps.detect.outputs.previous_release_tag }}
|
||||
compare_ref: ${{ steps.detect.outputs.compare_ref }}
|
||||
|
||||
steps:
|
||||
- name: Checkout repository
|
||||
@@ -89,16 +96,25 @@ jobs:
|
||||
- name: Detect plugin changes
|
||||
id: detect
|
||||
run: |
|
||||
# Get the last release tag
|
||||
LAST_TAG=$(git describe --tags --abbrev=0 2>/dev/null || echo "")
|
||||
|
||||
if [ -z "$LAST_TAG" ]; then
|
||||
echo "No previous release found, treating all plugins as new"
|
||||
COMPARE_REF="$(git rev-list --max-parents=0 HEAD)"
|
||||
else
|
||||
echo "Comparing with last release: $LAST_TAG"
|
||||
COMPARE_REF="$LAST_TAG"
|
||||
# Always compare against the most recent previously released version.
|
||||
CURRENT_TAG=""
|
||||
if [[ "${GITHUB_REF}" == refs/tags/* ]]; then
|
||||
CURRENT_TAG="${GITHUB_REF#refs/tags/}"
|
||||
echo "Current tag event detected: $CURRENT_TAG"
|
||||
fi
|
||||
|
||||
PREVIOUS_RELEASE_TAG=$(git tag --sort=-creatordate | grep -Fxv "$CURRENT_TAG" | head -n1 || true)
|
||||
|
||||
if [ -n "$PREVIOUS_RELEASE_TAG" ]; then
|
||||
echo "Comparing with previous release tag: $PREVIOUS_RELEASE_TAG"
|
||||
COMPARE_REF="$PREVIOUS_RELEASE_TAG"
|
||||
else
|
||||
COMPARE_REF="$(git rev-list --max-parents=0 HEAD)"
|
||||
echo "No previous release tag found, using repository root commit: $COMPARE_REF"
|
||||
fi
|
||||
|
||||
echo "previous_release_tag=$PREVIOUS_RELEASE_TAG" >> "$GITHUB_OUTPUT"
|
||||
echo "compare_ref=$COMPARE_REF" >> "$GITHUB_OUTPUT"
|
||||
|
||||
# Get current plugin versions
|
||||
python scripts/extract_plugin_versions.py --json --output current_versions.json
|
||||
@@ -149,28 +165,81 @@ jobs:
|
||||
# Only trigger release if there are actual version changes, not just doc changes
|
||||
echo "has_changes=false" >> $GITHUB_OUTPUT
|
||||
echo "changed_plugins=" >> $GITHUB_OUTPUT
|
||||
echo "changed_plugin_title=" >> $GITHUB_OUTPUT
|
||||
echo "changed_plugin_slug=" >> $GITHUB_OUTPUT
|
||||
echo "changed_plugin_version=" >> $GITHUB_OUTPUT
|
||||
echo "changed_plugin_count=0" >> $GITHUB_OUTPUT
|
||||
else
|
||||
echo "has_changes=true" >> $GITHUB_OUTPUT
|
||||
|
||||
# Extract changed plugin file paths using Python
|
||||
python3 -c "
|
||||
|
||||
# Extract changed plugin metadata and enforce a single-plugin release.
|
||||
python3 <<'PY'
|
||||
import json
|
||||
with open('changes.json', 'r') as f:
|
||||
data = json.load(f)
|
||||
files = []
|
||||
import sys
|
||||
from pathlib import Path
|
||||
|
||||
data = json.load(open('changes.json', 'r', encoding='utf-8'))
|
||||
|
||||
def get_plugin_meta(plugin):
|
||||
manifest = plugin.get('data', {}).get('function', {}).get('meta', {}).get('manifest', {})
|
||||
title = (manifest.get('title') or plugin.get('title') or '').strip()
|
||||
version = (manifest.get('version') or plugin.get('version') or '').strip()
|
||||
file_path = (plugin.get('file_path') or '').strip()
|
||||
slug = Path(file_path).parent.name.replace('_', '-').strip() if file_path else ''
|
||||
return {
|
||||
'title': title,
|
||||
'slug': slug,
|
||||
'version': version,
|
||||
'file_path': file_path,
|
||||
}
|
||||
|
||||
plugins = []
|
||||
seen_keys = set()
|
||||
|
||||
for plugin in data.get('added', []):
|
||||
if 'file_path' in plugin:
|
||||
files.append(plugin['file_path'])
|
||||
meta = get_plugin_meta(plugin)
|
||||
key = meta['file_path'] or meta['title']
|
||||
if key and key not in seen_keys:
|
||||
plugins.append(meta)
|
||||
seen_keys.add(key)
|
||||
|
||||
for update in data.get('updated', []):
|
||||
if 'current' in update and 'file_path' in update['current']:
|
||||
files.append(update['current']['file_path'])
|
||||
print('\n'.join(files))
|
||||
" > changed_files.txt
|
||||
meta = get_plugin_meta(update.get('current', {}))
|
||||
key = meta['file_path'] or meta['title']
|
||||
if key and key not in seen_keys:
|
||||
plugins.append(meta)
|
||||
seen_keys.add(key)
|
||||
|
||||
Path('changed_files.txt').write_text(
|
||||
'\n'.join(meta['file_path'] for meta in plugins if meta['file_path']),
|
||||
encoding='utf-8',
|
||||
)
|
||||
Path('changed_plugin_count.txt').write_text(str(len(plugins)), encoding='utf-8')
|
||||
|
||||
if len(plugins) > 1:
|
||||
print('Error: release workflow only supports one plugin creation/update per release.', file=sys.stderr)
|
||||
for meta in plugins:
|
||||
print(
|
||||
f"- {meta['title'] or 'Unknown'} v{meta['version'] or '?'} ({meta['file_path'] or 'unknown path'})",
|
||||
file=sys.stderr,
|
||||
)
|
||||
sys.exit(1)
|
||||
|
||||
selected = plugins[0] if plugins else {'title': '', 'slug': '', 'version': ''}
|
||||
Path('changed_plugin_title.txt').write_text(selected['title'], encoding='utf-8')
|
||||
Path('changed_plugin_slug.txt').write_text(selected['slug'], encoding='utf-8')
|
||||
Path('changed_plugin_version.txt').write_text(selected['version'], encoding='utf-8')
|
||||
PY
|
||||
|
||||
echo "changed_plugins<<EOF" >> $GITHUB_OUTPUT
|
||||
cat changed_files.txt >> $GITHUB_OUTPUT
|
||||
echo "" >> $GITHUB_OUTPUT
|
||||
echo "EOF" >> $GITHUB_OUTPUT
|
||||
|
||||
echo "changed_plugin_title=$(cat changed_plugin_title.txt)" >> $GITHUB_OUTPUT
|
||||
echo "changed_plugin_slug=$(cat changed_plugin_slug.txt)" >> $GITHUB_OUTPUT
|
||||
echo "changed_plugin_version=$(cat changed_plugin_version.txt)" >> $GITHUB_OUTPUT
|
||||
echo "changed_plugin_count=$(cat changed_plugin_count.txt)" >> $GITHUB_OUTPUT
|
||||
fi
|
||||
|
||||
# Store release notes
|
||||
@@ -183,7 +252,7 @@ jobs:
|
||||
|
||||
release:
|
||||
needs: check-changes
|
||||
if: needs.check-changes.outputs.has_changes == 'true' || github.event_name == 'workflow_dispatch' || startsWith(github.ref, 'refs/tags/v')
|
||||
if: needs.check-changes.outputs.has_changes == 'true' || github.event_name == 'workflow_dispatch' || startsWith(github.ref, 'refs/tags/')
|
||||
runs-on: ubuntu-latest
|
||||
env:
|
||||
LANG: en_US.UTF-8
|
||||
@@ -211,35 +280,40 @@ jobs:
|
||||
id: version
|
||||
env:
|
||||
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
|
||||
CHANGED_PLUGIN_SLUG: ${{ needs.check-changes.outputs.changed_plugin_slug }}
|
||||
CHANGED_PLUGIN_VERSION: ${{ needs.check-changes.outputs.changed_plugin_version }}
|
||||
run: |
|
||||
if [ "${{ github.event_name }}" = "workflow_dispatch" ] && [ -n "${{ github.event.inputs.version }}" ]; then
|
||||
VERSION="${{ github.event.inputs.version }}"
|
||||
elif [[ "${{ github.ref }}" == refs/tags/v* ]]; then
|
||||
elif [[ "${{ github.ref }}" == refs/tags/* ]]; then
|
||||
VERSION="${GITHUB_REF#refs/tags/}"
|
||||
elif [ -n "$CHANGED_PLUGIN_SLUG" ] && [ -n "$CHANGED_PLUGIN_VERSION" ]; then
|
||||
VERSION="${CHANGED_PLUGIN_SLUG}-v${CHANGED_PLUGIN_VERSION}"
|
||||
else
|
||||
# Auto-generate version based on date and daily release count
|
||||
TODAY=$(date +'%Y.%m.%d')
|
||||
TODAY_PREFIX="v${TODAY}-"
|
||||
|
||||
# Count existing releases with today's date prefix
|
||||
# grep -c returns 1 if count is 0, so we use || true to avoid script failure
|
||||
EXISTING_COUNT=$(gh release list --limit 100 2>/dev/null | grep -c "^${TODAY_PREFIX}" || true)
|
||||
|
||||
# Clean up output (handle potential newlines or fallback issues)
|
||||
EXISTING_COUNT=$(echo "$EXISTING_COUNT" | tr -cd '0-9')
|
||||
if [ -z "$EXISTING_COUNT" ]; then EXISTING_COUNT=0; fi
|
||||
|
||||
NEXT_NUM=$((EXISTING_COUNT + 1))
|
||||
|
||||
VERSION="${TODAY_PREFIX}${NEXT_NUM}"
|
||||
|
||||
# Final fallback to ensure VERSION is never empty
|
||||
if [ -z "$VERSION" ]; then
|
||||
VERSION="v$(date +'%Y.%m.%d-%H%M%S')"
|
||||
fi
|
||||
echo "Error: failed to determine plugin-scoped release tag." >&2
|
||||
exit 1
|
||||
fi
|
||||
echo "version=$VERSION" >> $GITHUB_OUTPUT
|
||||
echo "Release version: $VERSION"
|
||||
echo "Release tag: $VERSION"
|
||||
|
||||
- name: Build release metadata
|
||||
id: meta
|
||||
env:
|
||||
VERSION: ${{ steps.version.outputs.version }}
|
||||
INPUT_TITLE: ${{ github.event.inputs.release_title }}
|
||||
CHANGED_PLUGIN_TITLE: ${{ needs.check-changes.outputs.changed_plugin_title }}
|
||||
CHANGED_PLUGIN_VERSION: ${{ needs.check-changes.outputs.changed_plugin_version }}
|
||||
run: |
|
||||
if [ -n "$INPUT_TITLE" ]; then
|
||||
RELEASE_NAME="$INPUT_TITLE"
|
||||
elif [ -n "$CHANGED_PLUGIN_TITLE" ] && [ -n "$CHANGED_PLUGIN_VERSION" ]; then
|
||||
RELEASE_NAME="$CHANGED_PLUGIN_TITLE v$CHANGED_PLUGIN_VERSION"
|
||||
else
|
||||
RELEASE_NAME="$VERSION"
|
||||
fi
|
||||
|
||||
echo "release_name=$RELEASE_NAME" >> "$GITHUB_OUTPUT"
|
||||
echo "Release name: $RELEASE_NAME"
|
||||
|
||||
- name: Extract plugin versions
|
||||
id: plugins
|
||||
@@ -334,11 +408,14 @@ jobs:
|
||||
- name: Get commit messages
|
||||
id: commits
|
||||
if: github.event_name == 'push'
|
||||
env:
|
||||
PREVIOUS_RELEASE_TAG: ${{ needs.check-changes.outputs.previous_release_tag }}
|
||||
COMPARE_REF: ${{ needs.check-changes.outputs.compare_ref }}
|
||||
run: |
|
||||
LAST_TAG=$(git describe --tags --abbrev=0 2>/dev/null || echo "")
|
||||
|
||||
if [ -n "$LAST_TAG" ]; then
|
||||
COMMITS=$(git log ${LAST_TAG}..HEAD --pretty=format:"- **%s**%n%b" --no-merges -- plugins/ | sed '/^$/d' | head -40)
|
||||
if [ -n "$PREVIOUS_RELEASE_TAG" ]; then
|
||||
COMMITS=$(git log ${PREVIOUS_RELEASE_TAG}..HEAD --pretty=format:"- **%s**%n%b" --no-merges -- plugins/ | sed '/^$/d' | head -40)
|
||||
elif [ -n "$COMPARE_REF" ]; then
|
||||
COMMITS=$(git log ${COMPARE_REF}..HEAD --pretty=format:"- **%s**%n%b" --no-merges -- plugins/ | sed '/^$/d' | head -40)
|
||||
else
|
||||
COMMITS=$(git log --pretty=format:"- **%s**%n%b" --no-merges -10 -- plugins/ | sed '/^$/d')
|
||||
fi
|
||||
@@ -356,52 +433,37 @@ jobs:
|
||||
VERSION: ${{ steps.version.outputs.version }}
|
||||
TITLE: ${{ github.event.inputs.release_title }}
|
||||
NOTES: ${{ github.event.inputs.release_notes }}
|
||||
CHANGED_PLUGIN_TITLE: ${{ needs.check-changes.outputs.changed_plugin_title }}
|
||||
CHANGED_PLUGIN_VERSION: ${{ needs.check-changes.outputs.changed_plugin_version }}
|
||||
DETECTED_CHANGES: ${{ needs.check-changes.outputs.release_notes }}
|
||||
COMMITS: ${{ steps.commits.outputs.commits }}
|
||||
DOC_FILES: ${{ needs.check-changes.outputs.changed_doc_files }}
|
||||
run: |
|
||||
> release_notes.md
|
||||
|
||||
# 1. Release notes from v*.md files (highest priority, shown first)
|
||||
# 1. Primary content from v*.md files (highest priority)
|
||||
if [ -n "$DOC_FILES" ]; then
|
||||
RELEASE_NOTE_FILES=$(echo "$DOC_FILES" | grep -E '^plugins/.*/v[^/]*\.md$' | grep -v '_CN\.md$' || true)
|
||||
if [ -n "$RELEASE_NOTE_FILES" ]; then
|
||||
while IFS= read -r file; do
|
||||
[ -z "$file" ] && continue
|
||||
if [ -f "$file" ]; then
|
||||
# Inject plugin README link before each release note file content
|
||||
plugin_dir=$(dirname "$file")
|
||||
readme_url="https://github.com/Fu-Jie/openwebui-extensions/blob/main/${plugin_dir}/README.md"
|
||||
echo "> 📖 [Plugin README](${readme_url})" >> release_notes.md
|
||||
echo "" >> release_notes.md
|
||||
cat "$file" >> release_notes.md
|
||||
# Extract content, removing any H1 title from the file to avoid duplication
|
||||
python3 -c "import pathlib, re; file_path = pathlib.Path(r'''$file'''); text = file_path.read_text(encoding='utf-8'); text = re.sub(r'^#\s+.+?(?:\r?\n)+', '', text, count=1, flags=re.MULTILINE); print(text.lstrip().rstrip())" >> release_notes.md
|
||||
echo "" >> release_notes.md
|
||||
fi
|
||||
done <<< "$RELEASE_NOTE_FILES"
|
||||
fi
|
||||
fi
|
||||
|
||||
# 2. Plugin version changes detected by script
|
||||
if [ -n "$TITLE" ]; then
|
||||
echo "## $TITLE" >> release_notes.md
|
||||
echo "" >> release_notes.md
|
||||
fi
|
||||
|
||||
# 2. Automated plugin version change summary
|
||||
if [ -n "$DETECTED_CHANGES" ] && ! echo "$DETECTED_CHANGES" | grep -q "No changes detected"; then
|
||||
echo "## What's Changed" >> release_notes.md
|
||||
echo "## Version Changes" >> release_notes.md
|
||||
echo "" >> release_notes.md
|
||||
echo "$DETECTED_CHANGES" >> release_notes.md
|
||||
echo "" >> release_notes.md
|
||||
fi
|
||||
|
||||
# 3. Commits (Conventional Commits format with body)
|
||||
if [ -n "$COMMITS" ]; then
|
||||
echo "## Commits" >> release_notes.md
|
||||
echo "" >> release_notes.md
|
||||
echo "$COMMITS" >> release_notes.md
|
||||
echo "" >> release_notes.md
|
||||
fi
|
||||
|
||||
# 3. Manual additional notes from workflow dispatch
|
||||
if [ -n "$NOTES" ]; then
|
||||
echo "## Additional Notes" >> release_notes.md
|
||||
echo "" >> release_notes.md
|
||||
@@ -411,35 +473,20 @@ jobs:
|
||||
|
||||
cat >> release_notes.md << 'EOF'
|
||||
|
||||
## Download
|
||||
|
||||
📦 **Download the updated plugin files below**
|
||||
|
||||
### Installation
|
||||
|
||||
#### From OpenWebUI Community
|
||||
1. Open OpenWebUI Admin Panel
|
||||
2. Navigate to Functions/Tools
|
||||
3. Search for the plugin name
|
||||
4. Click Install
|
||||
|
||||
#### Manual Installation
|
||||
1. Download the plugin file (`.py`) from the assets below
|
||||
2. Open OpenWebUI Admin Panel → Functions
|
||||
3. Click "Create Function" → Import
|
||||
4. Paste the plugin code
|
||||
|
||||
---
|
||||
|
||||
📚 [Documentation](https://fu-jie.github.io/openwebui-extensions/)
|
||||
📚 [Documentation Portal](https://fu-jie.github.io/openwebui-extensions/)
|
||||
🐛 [Report Issues](https://github.com/Fu-Jie/openwebui-extensions/issues)
|
||||
EOF
|
||||
|
||||
|
||||
echo "=== Final Release Notes ==="
|
||||
cat release_notes.md
|
||||
|
||||
echo "=== Release Notes ==="
|
||||
cat release_notes.md
|
||||
|
||||
- name: Create Git Tag
|
||||
if: ${{ !startsWith(github.ref, 'refs/tags/v') }}
|
||||
if: ${{ !startsWith(github.ref, 'refs/tags/') }}
|
||||
run: |
|
||||
VERSION="${{ steps.version.outputs.version }}"
|
||||
|
||||
@@ -463,7 +510,7 @@ jobs:
|
||||
with:
|
||||
tag_name: ${{ steps.version.outputs.version }}
|
||||
target_commitish: ${{ github.sha }}
|
||||
name: ${{ github.event.inputs.release_title || steps.version.outputs.version }}
|
||||
name: ${{ steps.meta.outputs.release_name }}
|
||||
body_path: release_notes.md
|
||||
prerelease: ${{ github.event.inputs.prerelease || false }}
|
||||
make_latest: true
|
||||
|
||||
1
.gitignore
vendored
1
.gitignore
vendored
@@ -142,3 +142,4 @@ logs/
|
||||
# OpenWebUI specific
|
||||
# Add any specific ignores for OpenWebUI plugins if needed
|
||||
.git-worktrees/
|
||||
plugins/filters/auth_model_info/
|
||||
|
||||
75
CHANGELOG.md
75
CHANGELOG.md
@@ -1,75 +0,0 @@
|
||||
# Changelog / 更新日志
|
||||
|
||||
All notable changes to this project will be documented in this file.
|
||||
|
||||
The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.1.0/),
|
||||
and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
|
||||
|
||||
本项目的所有重要更改都将记录在此文件中。
|
||||
格式基于 [Keep a Changelog](https://keepachangelog.com/zh-CN/1.1.0/),
|
||||
本项目遵循 [语义化版本](https://semver.org/lang/zh-CN/)。
|
||||
|
||||
---
|
||||
|
||||
## [Unreleased] / 未发布
|
||||
|
||||
### Added / 新增
|
||||
- 插件发布工作流 (Plugin release workflow)
|
||||
|
||||
### Changed / 变更
|
||||
|
||||
### Fixed / 修复
|
||||
|
||||
### Removed / 移除
|
||||
|
||||
---
|
||||
|
||||
## Plugin Versions / 插件版本
|
||||
|
||||
### Actions
|
||||
|
||||
| Plugin / 插件 | Version / 版本 |
|
||||
|---------------|----------------|
|
||||
| Smart Mind Map / 思维导图 | 0.8.0 |
|
||||
| Flash Card / 闪记卡 | 0.2.1 |
|
||||
| Export to Word / 导出为 Word | 0.1.0 |
|
||||
| Export to Excel / 导出为 Excel | 0.3.3 |
|
||||
| Deep Reading & Summary / 精读 | 0.1.0 / 2.0.0 |
|
||||
| Smart Infographic / 智能信息图 | 1.3.0 |
|
||||
|
||||
### Filters
|
||||
|
||||
| Plugin / 插件 | Version / 版本 |
|
||||
|---------------|----------------|
|
||||
| Async Context Compression / 异步上下文压缩 | 1.1.0 |
|
||||
| Context & Model Enhancement Filter | 0.2 |
|
||||
| Gemini Manifold Companion | 1.7.0 |
|
||||
| Gemini 多模态过滤器 | 0.3.2 |
|
||||
|
||||
### Pipes
|
||||
|
||||
| Plugin / 插件 | Version / 版本 |
|
||||
|---------------|----------------|
|
||||
| Gemini Manifold google_genai | 1.26.0 |
|
||||
|
||||
---
|
||||
|
||||
<!--
|
||||
Release Template / 发布模板:
|
||||
|
||||
## [x.x.x] - YYYY-MM-DD
|
||||
|
||||
### Added / 新增
|
||||
- New feature description
|
||||
|
||||
### Changed / 变更
|
||||
- Change description
|
||||
|
||||
### Fixed / 修复
|
||||
- Bug fix description
|
||||
|
||||
### Plugin Updates / 插件更新
|
||||
- `plugin_name`: v0.x.0 -> v0.y.0
|
||||
- Feature 1
|
||||
- Feature 2
|
||||
-->
|
||||
13
CLAUDE.md
Normal file
13
CLAUDE.md
Normal file
@@ -0,0 +1,13 @@
|
||||
# 🤖 Claude Multi-Agent Protocol (MACP)
|
||||
|
||||
## 🚀 Mandatory Startup
|
||||
1. **Check Hub**: `python3 scripts/agent_sync.py status`
|
||||
2. **Register**: `python3 scripts/agent_sync.py register claude-code "Claude" "Handling user request"`
|
||||
3. **Lock**: `python3 scripts/agent_sync.py lock claude-code <file_path>`
|
||||
4. **Handoff**: Use `python3 scripts/agent_sync.py note` for collaborative findings.
|
||||
|
||||
## 🤝 Project Standards
|
||||
Read these BEFORE writing any code:
|
||||
- `.agent/rules/plugin_standards.md`
|
||||
- `.agent/rules/agent_protocol.md`
|
||||
- `COOPERATION.md`
|
||||
33
COOPERATION.md
Normal file
33
COOPERATION.md
Normal file
@@ -0,0 +1,33 @@
|
||||
# 🤖 Multi-Agent Cooperation Protocol (MACP) v2.1
|
||||
|
||||
本项目采用 **SQLite 协作中控 (Agent Hub)** 来管理多个 AI Agent 的并发任务。
|
||||
|
||||
## 🚀 核心指令 (Quick Commands)
|
||||
使用 `./scripts/macp` 即可快速调用,无需记忆复杂的 Python 参数。
|
||||
|
||||
| 指令 | 描述 |
|
||||
| :--- | :--- |
|
||||
| **`/status`** | 查看全场状态(活跃 Agent、文件锁、任务、研究主题) |
|
||||
| **`/study <topic> <desc>`** | **一键发起联合研究**。广播主题并通知所有 Agent 进入研究状态。 |
|
||||
| **`/summon <agent> <task>`** | **定向召唤**。给特定 Agent 派发高优先级任务。 |
|
||||
| **`/handover <agent> <msg>`** | **任务接力**。释放当前进度并交棒给下一个 Agent。 |
|
||||
| **`/broadcast <msg>`** | **全场广播**。发送紧急通知或状态同步。 |
|
||||
| **`/check`** | **收件箱检查**。查看是否有分配给你的待办任务。 |
|
||||
| **`/resolve <topic> <result>`** | **归档结论**。结束研究专题并记录最终共识。 |
|
||||
| **`/ping`** | **生存检查**。快速查看哪些 Agent 在线。 |
|
||||
|
||||
---
|
||||
|
||||
## 🛡️ 协作准则
|
||||
1. **先查后动**:开始工作前先运行 `./scripts/macp /status`。
|
||||
2. **锁即所有权**:修改文件前必须获取锁。
|
||||
3. **意图先行**:大型重构建议先通过 `/study` 发起方案讨论。
|
||||
4. **及时解锁**:Commit 并 Push 后,请务必 `/handover` 或手动解锁。
|
||||
|
||||
## 📁 基础设施
|
||||
- **数据库**: `.agent/agent_hub.db` (不要手动编辑)
|
||||
- **内核**: `scripts/agent_sync.py`
|
||||
- **快捷工具**: `scripts/macp`
|
||||
|
||||
---
|
||||
*Generated by Claude (Coordinator) in collaboration with Sisyphus & Copilot.*
|
||||
1
LICENSE
1
LICENSE
@@ -19,3 +19,4 @@ AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
|
||||
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
|
||||
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
|
||||
SOFTWARE.
|
||||
|
||||
|
||||
35
README.md
35
README.md
@@ -23,12 +23,12 @@ A collection of enhancements, plugins, and prompts for [open-webui](https://gith
|
||||
### 🔥 Top 6 Popular Plugins
|
||||
| Rank | Plugin | Version | Downloads | Views | 📅 Updated |
|
||||
| :---: | :--- | :---: | :---: | :---: | :---: |
|
||||
| 🥇 | [Smart Mind Map](https://openwebui.com/posts/turn_any_text_into_beautiful_mind_maps_3094c59a) |  |  |  |  |
|
||||
| 🥈 | [Smart Infographic](https://openwebui.com/posts/smart_infographic_ad6f0c7f) |  |  |  |  |
|
||||
| 🥉 | [Markdown Normalizer](https://openwebui.com/posts/markdown_normalizer_baaa8732) |  |  |  |  |
|
||||
| 4️⃣ | [Export to Word Enhanced](https://openwebui.com/posts/export_to_word_enhanced_formatting_fca6a315) |  |  |  |  |
|
||||
| 5️⃣ | [Async Context Compression](https://openwebui.com/posts/async_context_compression_b1655bc8) |  |  |  |  |
|
||||
| 6️⃣ | [AI Task Instruction Generator](https://openwebui.com/posts/ai_task_instruction_generator_9bab8b37) |  |  |  |  |
|
||||
| 🥇 | [Smart Mind Map](https://openwebui.com/posts/turn_any_text_into_beautiful_mind_maps_3094c59a) |  |  |  |  |
|
||||
| 🥈 | [Smart Infographic](https://openwebui.com/posts/smart_infographic_ad6f0c7f) |  |  |  |  |
|
||||
| 🥉 | [Markdown Normalizer](https://openwebui.com/posts/markdown_normalizer_baaa8732) |  |  |  |  |
|
||||
| 4️⃣ | [Export to Word Enhanced](https://openwebui.com/posts/export_to_word_enhanced_formatting_fca6a315) |  |  |  |  |
|
||||
| 5️⃣ | [Async Context Compression](https://openwebui.com/posts/async_context_compression_b1655bc8) |  |  |  |  |
|
||||
| 6️⃣ | [AI Task Instruction Generator](https://openwebui.com/posts/ai_task_instruction_generator_9bab8b37) |  |  |  |  |
|
||||
|
||||
### 📈 Total Downloads Trend
|
||||

|
||||
@@ -66,6 +66,9 @@ A collection of enhancements, plugins, and prompts for [open-webui](https://gith
|
||||

|
||||
> *In this demo, the Agent installs a visual enhancement skill and automatically generates an interactive dashboard from World Cup data.*
|
||||
|
||||

|
||||
> *Combined with the Excel Expert skill, the Agent can automate complex data cleaning, multi-dimensional statistics, and generate professional data dashboards.*
|
||||
|
||||
#### 🌟 Featured Real-World Cases
|
||||
|
||||
- **[GitHub Star Forecasting](./docs/plugins/pipes/star-prediction-example.md)**: Automatically parsing CSV data, writing analysis scripts, and generating interactive growth dashboards.
|
||||
@@ -160,13 +163,6 @@ For code examples, please check the `docs/examples/` directory.
|
||||
|
||||
This project is a collection of resources and does not require a Python environment. Simply download the files you need and import them into your OpenWebUI instance.
|
||||
|
||||
### Using Prompts
|
||||
|
||||
1. Browse the `/prompts` directory and select a prompt file (`.md`).
|
||||
2. Copy the file content.
|
||||
3. In the OpenWebUI chat interface, click the "Prompt" button above the input box.
|
||||
4. Paste the content and save.
|
||||
|
||||
### Using Plugins
|
||||
|
||||
1. **Install from OpenWebUI Community (Recommended)**:
|
||||
@@ -174,11 +170,14 @@ This project is a collection of resources and does not require a Python environm
|
||||
- Browse the plugins and select the one you like.
|
||||
- Click "Get" to import it directly into your OpenWebUI instance.
|
||||
|
||||
2. **Manual Installation**:
|
||||
- Browse the `/plugins` directory and download the plugin file (`.py`) you need.
|
||||
- Go to OpenWebUI **Admin Panel** -> **Settings** -> **Plugins**.
|
||||
- Click the upload button and select the `.py` file you just downloaded.
|
||||
- Once uploaded, refresh the page to enable the plugin in your chat settings or toolbar.
|
||||
2. **Quick Install All Plugins**: To install all plugins to your local OpenWebUI instance at once, clone this repo and run `python scripts/install_all_plugins.py` after configuring your API key in `.env` — see [Deployment Guide](./scripts/DEPLOYMENT_GUIDE.md) for details.
|
||||
|
||||
### Using Prompts
|
||||
|
||||
1. Browse the `/prompts` directory and select a prompt file (`.md`).
|
||||
2. Copy the file content.
|
||||
3. In the OpenWebUI chat interface, click the "Prompt" button above the input box.
|
||||
4. Paste the content and save.
|
||||
|
||||
### Contributing
|
||||
|
||||
|
||||
31
README_CN.md
31
README_CN.md
@@ -20,12 +20,12 @@ OpenWebUI 增强功能集合。包含个人开发与收集的插件、提示词
|
||||
### 🔥 热门插件 Top 6
|
||||
| 排名 | 插件 | 版本 | 下载 | 浏览 | 📅 更新 |
|
||||
| :---: | :--- | :---: | :---: | :---: | :---: |
|
||||
| 🥇 | [Smart Mind Map](https://openwebui.com/posts/turn_any_text_into_beautiful_mind_maps_3094c59a) |  |  |  |  |
|
||||
| 🥈 | [Smart Infographic](https://openwebui.com/posts/smart_infographic_ad6f0c7f) |  |  |  |  |
|
||||
| 🥉 | [Markdown Normalizer](https://openwebui.com/posts/markdown_normalizer_baaa8732) |  |  |  |  |
|
||||
| 4️⃣ | [Export to Word Enhanced](https://openwebui.com/posts/export_to_word_enhanced_formatting_fca6a315) |  |  |  |  |
|
||||
| 5️⃣ | [Async Context Compression](https://openwebui.com/posts/async_context_compression_b1655bc8) |  |  |  |  |
|
||||
| 6️⃣ | [AI Task Instruction Generator](https://openwebui.com/posts/ai_task_instruction_generator_9bab8b37) |  |  |  |  |
|
||||
| 🥇 | [Smart Mind Map](https://openwebui.com/posts/turn_any_text_into_beautiful_mind_maps_3094c59a) |  |  |  |  |
|
||||
| 🥈 | [Smart Infographic](https://openwebui.com/posts/smart_infographic_ad6f0c7f) |  |  |  |  |
|
||||
| 🥉 | [Markdown Normalizer](https://openwebui.com/posts/markdown_normalizer_baaa8732) |  |  |  |  |
|
||||
| 4️⃣ | [Export to Word Enhanced](https://openwebui.com/posts/export_to_word_enhanced_formatting_fca6a315) |  |  |  |  |
|
||||
| 5️⃣ | [Async Context Compression](https://openwebui.com/posts/async_context_compression_b1655bc8) |  |  |  |  |
|
||||
| 6️⃣ | [AI Task Instruction Generator](https://openwebui.com/posts/ai_task_instruction_generator_9bab8b37) |  |  |  |  |
|
||||
|
||||
### 📈 总下载量累计趋势
|
||||

|
||||
@@ -63,6 +63,9 @@ OpenWebUI 增强功能集合。包含个人开发与收集的插件、提示词
|
||||

|
||||
> *在此演示中,Agent 自动安装可视化增强技能,并根据世界杯表格数据瞬间生成交互式看板。*
|
||||
|
||||

|
||||
> *结合 Excel 专家技能,Agent 可以自动化执行复杂的数据清洗、多维度统计并生成专业的数据看板。*
|
||||
|
||||
#### 🌟 核心实战案例
|
||||
|
||||
- **[GitHub Star 增长预测](./docs/plugins/pipes/star-prediction-example.zh.md)**:自动解析 CSV 数据,编写 Python 分析脚本并生成动态增长看板。
|
||||
@@ -163,4 +166,20 @@ Open WebUI 的前端增强扩展:
|
||||
|
||||
本项目是一个资源集合,无需安装 Python 环境。你只需要下载对应的文件并导入到你的 OpenWebUI 实例中即可。
|
||||
|
||||
### 使用插件
|
||||
|
||||
1. **从官方社区安装(推荐)**:
|
||||
- 访问我的主页:[Fu-Jie 的个人页面](https://openwebui.com/u/Fu-Jie)
|
||||
- 浏览插件并选择你喜欢的
|
||||
- 点击"Get"按钮直接导入到你的 OpenWebUI 实例
|
||||
|
||||
2. **快速安装所有插件**:如果想一次性安装此项目中的所有插件到本地 OpenWebUI 实例,克隆此仓库后运行 `python scripts/install_all_plugins.py`,并在 `.env` 中配置好 API 密钥,详见 [部署指南](./scripts/DEPLOYMENT_GUIDE.md)。
|
||||
|
||||
### 使用提示词
|
||||
|
||||
1. 浏览 `/prompts` 目录并选择一个提示词文件(`.md`)。
|
||||
2. 复制文件内容。
|
||||
3. 在 OpenWebUI 聊天界面中,点击输入框上方的"提示词"按钮。
|
||||
4. 粘贴内容并保存。
|
||||
|
||||
[贡献指南](./CONTRIBUTING_CN.md) | [更新日志](./CHANGELOG.md)
|
||||
|
||||
139
ai-tabs.sh
Executable file
139
ai-tabs.sh
Executable file
@@ -0,0 +1,139 @@
|
||||
#!/bin/bash
|
||||
# ==============================================================================
|
||||
# ai-tabs - Ultra Orchestrator
|
||||
# Version: v1.0.0
|
||||
# License: MIT
|
||||
# Author: Fu-Jie
|
||||
# Description: Batch-launches and orchestrates multiple AI CLI tools as Tabs.
|
||||
# ==============================================================================
|
||||
|
||||
# 1. Single-Instance Lock
|
||||
LOCK_FILE="/tmp/ai_terminal_launch.lock"
|
||||
# If lock is less than 10 seconds old, another instance is running. Exit.
|
||||
if [ -f "$LOCK_FILE" ]; then
|
||||
LOCK_TIME=$(stat -f %m "$LOCK_FILE")
|
||||
NOW=$(date +%s)
|
||||
if (( NOW - LOCK_TIME < 10 )); then
|
||||
echo "⚠️ Another launch in progress. Skipping to prevent duplicates."
|
||||
exit 0
|
||||
fi
|
||||
fi
|
||||
touch "$LOCK_FILE"
|
||||
trap 'rm -f "$LOCK_FILE"' EXIT
|
||||
|
||||
# 2. Configuration & Constants
|
||||
INIT_DELAY=4.5
|
||||
PASTE_DELAY=0.3
|
||||
CMD_CREATION_DELAY=0.3
|
||||
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
|
||||
PARENT_DIR="$(dirname "$SCRIPT_DIR")"
|
||||
|
||||
# Search for .env
|
||||
if [ -f "${SCRIPT_DIR}/.env" ]; then
|
||||
ENV_FILE="${SCRIPT_DIR}/.env"
|
||||
elif [ -f "${PARENT_DIR}/.env" ]; then
|
||||
ENV_FILE="${PARENT_DIR}/.env"
|
||||
fi
|
||||
|
||||
# Supported Tools
|
||||
SUPPORTED_TOOLS=(
|
||||
"claude:--continue"
|
||||
"opencode:--continue"
|
||||
"gemini:--resume latest"
|
||||
"copilot:--continue"
|
||||
"iflow:--continue"
|
||||
"kilo:--continue"
|
||||
)
|
||||
|
||||
FOUND_TOOLS_NAMES=()
|
||||
FOUND_CMDS=()
|
||||
|
||||
# 3. Part A: Load Manual Configuration
|
||||
if [ -f "$ENV_FILE" ]; then
|
||||
set -a; source "$ENV_FILE"; set +a
|
||||
for var in $(compgen -v | grep '^TOOL_[0-9]' | sort -V); do
|
||||
TPATH="${!var}"
|
||||
if [ -x "$TPATH" ]; then
|
||||
NAME=$(basename "$TPATH")
|
||||
FLAG="--continue"
|
||||
for item in "${SUPPORTED_TOOLS[@]}"; do
|
||||
[[ "${item%%:*}" == "$NAME" ]] && FLAG="${item#*:}" && break
|
||||
done
|
||||
FOUND_TOOLS_NAMES+=("$NAME")
|
||||
FOUND_CMDS+=("'$TPATH' $FLAG || '$TPATH' || exec \$SHELL")
|
||||
fi
|
||||
done
|
||||
fi
|
||||
|
||||
# 4. Part B: Automatic Tool Discovery
|
||||
for item in "${SUPPORTED_TOOLS[@]}"; do
|
||||
NAME="${item%%:*}"
|
||||
FLAG="${item#*:}"
|
||||
ALREADY_CONFIGURED=false
|
||||
for configured in "${FOUND_TOOLS_NAMES[@]}"; do
|
||||
[[ "$configured" == "$NAME" ]] && ALREADY_CONFIGURED=true && break
|
||||
done
|
||||
[[ "$ALREADY_CONFIGURED" == true ]] && continue
|
||||
TPATH=$(which "$NAME" 2>/dev/null)
|
||||
if [ -z "$TPATH" ]; then
|
||||
SEARCH_PATHS=(
|
||||
"/opt/homebrew/bin/$NAME"
|
||||
"/usr/local/bin/$NAME"
|
||||
"$HOME/.local/bin/$NAME"
|
||||
"$HOME/bin/$NAME"
|
||||
"$HOME/.$NAME/bin/$NAME"
|
||||
"$HOME/.nvm/versions/node/*/bin/$NAME"
|
||||
"$HOME/.npm-global/bin/$NAME"
|
||||
"$HOME/.cargo/bin/$NAME"
|
||||
)
|
||||
for p in "${SEARCH_PATHS[@]}"; do
|
||||
for found_p in $p; do [[ -x "$found_p" ]] && TPATH="$found_p" && break 2; done
|
||||
done
|
||||
fi
|
||||
if [ -n "$TPATH" ]; then
|
||||
FOUND_TOOLS_NAMES+=("$NAME")
|
||||
FOUND_CMDS+=("'$TPATH' $FLAG || '$TPATH' || exec \$SHELL")
|
||||
fi
|
||||
done
|
||||
|
||||
NUM_FOUND=${#FOUND_CMDS[@]}
|
||||
[[ "$NUM_FOUND" -eq 0 ]] && exit 1
|
||||
|
||||
# 5. Core Orchestration (Reset + Launch)
|
||||
# Using Command Palette automation to avoid the need for manual shortcut binding.
|
||||
AS_SCRIPT="tell application \"System Events\"\n"
|
||||
|
||||
# Phase A: Creation (Using Command Palette to ensure it opens in Editor Area)
|
||||
for ((i=1; i<=NUM_FOUND; i++)); do
|
||||
AS_SCRIPT+=" keystroke \"p\" using {command down, shift down}\n"
|
||||
AS_SCRIPT+=" delay 0.1\n"
|
||||
# Ensure we are searching for the command. Using clipboard for speed and universal language support.
|
||||
AS_SCRIPT+=" set the clipboard to \"Terminal: Create New Terminal in Editor Area\"\n"
|
||||
AS_SCRIPT+=" keystroke \"v\" using {command down}\n"
|
||||
AS_SCRIPT+=" delay 0.1\n"
|
||||
AS_SCRIPT+=" keystroke return\n"
|
||||
AS_SCRIPT+=" delay $CMD_CREATION_DELAY\n"
|
||||
done
|
||||
|
||||
# Phase B: Warmup
|
||||
AS_SCRIPT+=" delay $INIT_DELAY\n"
|
||||
|
||||
# Phase C: Command Injection (Reverse)
|
||||
for ((i=NUM_FOUND-1; i>=0; i--)); do
|
||||
FULL_CMD="${FOUND_CMDS[$i]}"
|
||||
CLEAN_CMD=$(echo "$FULL_CMD" | sed 's/"/\\"/g')
|
||||
AS_SCRIPT+=" set the clipboard to \"$CLEAN_CMD\"\n"
|
||||
AS_SCRIPT+=" delay 0.1\n"
|
||||
AS_SCRIPT+=" keystroke \"v\" using {command down}\n"
|
||||
AS_SCRIPT+=" delay $PASTE_DELAY\n"
|
||||
AS_SCRIPT+=" keystroke return\n"
|
||||
if [ $i -gt 0 ]; then
|
||||
AS_SCRIPT+=" delay 0.5\n"
|
||||
AS_SCRIPT+=" keystroke \"[\" using {command down, shift down}\n"
|
||||
fi
|
||||
done
|
||||
AS_SCRIPT+="end tell"
|
||||
|
||||
# Execute
|
||||
echo -e "$AS_SCRIPT" | osascript
|
||||
echo "✨ Ai tabs initialized successfully ($NUM_FOUND tools found)."
|
||||
BIN
docs/assets/images/development/worldcup_enhanced_charts.png
Normal file
BIN
docs/assets/images/development/worldcup_enhanced_charts.png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 818 KiB |
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"schemaVersion": 1,
|
||||
"label": "downloads",
|
||||
"message": "7.8k",
|
||||
"message": "8.9k",
|
||||
"color": "blue",
|
||||
"namedLogo": "openwebui"
|
||||
}
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"schemaVersion": 1,
|
||||
"label": "followers",
|
||||
"message": "315",
|
||||
"message": "348",
|
||||
"color": "blue"
|
||||
}
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"schemaVersion": 1,
|
||||
"label": "points",
|
||||
"message": "329",
|
||||
"message": "352",
|
||||
"color": "orange"
|
||||
}
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"schemaVersion": 1,
|
||||
"label": "upvotes",
|
||||
"message": "281",
|
||||
"message": "301",
|
||||
"color": "brightgreen"
|
||||
}
|
||||
@@ -1,19 +1,17 @@
|
||||
{
|
||||
"total_posts": 27,
|
||||
"total_downloads": 7786,
|
||||
"total_views": 82342,
|
||||
"total_upvotes": 281,
|
||||
"total_downloads": 8947,
|
||||
"total_views": 94188,
|
||||
"total_upvotes": 301,
|
||||
"total_downvotes": 4,
|
||||
"total_saves": 398,
|
||||
"total_comments": 63,
|
||||
"total_saves": 444,
|
||||
"total_comments": 75,
|
||||
"by_type": {
|
||||
"post": 6,
|
||||
"tool": 2,
|
||||
"pipe": 1,
|
||||
"filter": 4,
|
||||
"pipe": 1,
|
||||
"action": 12,
|
||||
"prompt": 1,
|
||||
"review": 1
|
||||
"prompt": 1
|
||||
},
|
||||
"posts": [
|
||||
{
|
||||
@@ -23,11 +21,11 @@
|
||||
"version": "1.0.0",
|
||||
"author": "Fu-Jie",
|
||||
"description": "Intelligently analyzes text content and generates interactive mind maps to help users structure and visualize knowledge.",
|
||||
"downloads": 1542,
|
||||
"views": 12996,
|
||||
"upvotes": 28,
|
||||
"saves": 66,
|
||||
"comments": 18,
|
||||
"downloads": 1772,
|
||||
"views": 15047,
|
||||
"upvotes": 30,
|
||||
"saves": 70,
|
||||
"comments": 21,
|
||||
"created_at": "2025-12-30",
|
||||
"updated_at": "2026-02-27",
|
||||
"url": "https://openwebui.com/posts/turn_any_text_into_beautiful_mind_maps_3094c59a"
|
||||
@@ -39,11 +37,11 @@
|
||||
"version": "1.5.0",
|
||||
"author": "Fu-Jie",
|
||||
"description": "AI-powered infographic generator based on AntV Infographic. Supports professional templates, auto-icon matching, and SVG/PNG downloads.",
|
||||
"downloads": 1230,
|
||||
"views": 12309,
|
||||
"upvotes": 25,
|
||||
"saves": 46,
|
||||
"comments": 10,
|
||||
"downloads": 1350,
|
||||
"views": 13453,
|
||||
"upvotes": 27,
|
||||
"saves": 52,
|
||||
"comments": 12,
|
||||
"created_at": "2025-12-28",
|
||||
"updated_at": "2026-02-13",
|
||||
"url": "https://openwebui.com/posts/smart_infographic_ad6f0c7f"
|
||||
@@ -52,16 +50,16 @@
|
||||
"title": "Markdown Normalizer",
|
||||
"slug": "markdown_normalizer_baaa8732",
|
||||
"type": "filter",
|
||||
"version": "1.2.7",
|
||||
"version": "1.2.8",
|
||||
"author": "Fu-Jie",
|
||||
"description": "A content normalizer filter that fixes common Markdown formatting issues in LLM outputs, such as broken code blocks, LaTeX formulas, and list formatting. Including LaTeX command protection.",
|
||||
"downloads": 719,
|
||||
"views": 7704,
|
||||
"upvotes": 20,
|
||||
"saves": 42,
|
||||
"downloads": 824,
|
||||
"views": 8622,
|
||||
"upvotes": 21,
|
||||
"saves": 45,
|
||||
"comments": 5,
|
||||
"created_at": "2026-01-12",
|
||||
"updated_at": "2026-03-03",
|
||||
"updated_at": "2026-03-08",
|
||||
"url": "https://openwebui.com/posts/markdown_normalizer_baaa8732"
|
||||
},
|
||||
{
|
||||
@@ -71,10 +69,10 @@
|
||||
"version": "0.4.4",
|
||||
"author": "Fu-Jie",
|
||||
"description": "Export current conversation from Markdown to Word (.docx) with Mermaid diagrams rendered client-side (Mermaid.js, SVG+PNG), LaTeX math, real hyperlinks, improved tables, syntax highlighting, and blockquote support.",
|
||||
"downloads": 700,
|
||||
"views": 5399,
|
||||
"upvotes": 17,
|
||||
"saves": 37,
|
||||
"downloads": 780,
|
||||
"views": 6015,
|
||||
"upvotes": 19,
|
||||
"saves": 39,
|
||||
"comments": 5,
|
||||
"created_at": "2026-01-03",
|
||||
"updated_at": "2026-02-13",
|
||||
@@ -84,16 +82,16 @@
|
||||
"title": "Async Context Compression",
|
||||
"slug": "async_context_compression_b1655bc8",
|
||||
"type": "filter",
|
||||
"version": "1.3.0",
|
||||
"version": "1.4.2",
|
||||
"author": "Fu-Jie",
|
||||
"description": "Reduces token consumption in long conversations while maintaining coherence through intelligent summarization and message compression.",
|
||||
"downloads": 669,
|
||||
"views": 6274,
|
||||
"upvotes": 16,
|
||||
"saves": 47,
|
||||
"downloads": 776,
|
||||
"views": 7102,
|
||||
"upvotes": 17,
|
||||
"saves": 53,
|
||||
"comments": 0,
|
||||
"created_at": "2025-11-08",
|
||||
"updated_at": "2026-03-03",
|
||||
"updated_at": "2026-03-13",
|
||||
"url": "https://openwebui.com/posts/async_context_compression_b1655bc8"
|
||||
},
|
||||
{
|
||||
@@ -103,10 +101,10 @@
|
||||
"version": "",
|
||||
"author": "",
|
||||
"description": "",
|
||||
"downloads": 583,
|
||||
"views": 6659,
|
||||
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"created_at": "2026-01-28",
|
||||
"updated_at": "2026-01-28",
|
||||
@@ -119,29 +117,45 @@
|
||||
"version": "0.3.7",
|
||||
"author": "Fu-Jie",
|
||||
"description": "Extracts tables from chat messages and exports them to Excel (.xlsx) files with smart formatting.",
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||||
"downloads": 563,
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||||
"views": 3153,
|
||||
"downloads": 612,
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||||
"views": 3475,
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"created_at": "2025-05-30",
|
||||
"updated_at": "2026-02-13",
|
||||
"url": "https://openwebui.com/posts/export_mulit_table_to_excel_244b8f9d"
|
||||
},
|
||||
{
|
||||
"title": "OpenWebUI Skills Manager Tool",
|
||||
"slug": "openwebui_skills_manager_tool_b4bce8e4",
|
||||
"type": "tool",
|
||||
"version": "0.3.0",
|
||||
"author": "Fu-Jie",
|
||||
"description": "Standalone OpenWebUI tool for managing native Workspace Skills (list/show/install/create/update/delete) for any model.",
|
||||
"downloads": 463,
|
||||
"views": 5862,
|
||||
"upvotes": 8,
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||||
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"comments": 4,
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"created_at": "2026-02-28",
|
||||
"updated_at": "2026-03-13",
|
||||
"url": "https://openwebui.com/posts/openwebui_skills_manager_tool_b4bce8e4"
|
||||
},
|
||||
{
|
||||
"title": "GitHub Copilot Official SDK Pipe",
|
||||
"slug": "github_copilot_official_sdk_pipe_ce96f7b4",
|
||||
"type": "pipe",
|
||||
"version": "0.9.1",
|
||||
"version": "0.10.0",
|
||||
"author": "Fu-Jie",
|
||||
"description": "A powerful Agent SDK integration for OpenWebUI. It deeply bridges GitHub Copilot SDK with OpenWebUI's ecosystem, enabling the Agent to autonomously perform intent recognition, web search, and context compaction. It seamlessly reuses your existing Tools, MCP servers, OpenAPI servers, and Skills for a professional, full-featured experience.",
|
||||
"downloads": 335,
|
||||
"views": 4905,
|
||||
"downloads": 402,
|
||||
"views": 5629,
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"comments": 8,
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"created_at": "2026-01-26",
|
||||
"updated_at": "2026-03-03",
|
||||
"updated_at": "2026-03-07",
|
||||
"url": "https://openwebui.com/posts/github_copilot_official_sdk_pipe_ce96f7b4"
|
||||
},
|
||||
{
|
||||
@@ -151,31 +165,15 @@
|
||||
"version": "0.2.4",
|
||||
"author": "Fu-Jie",
|
||||
"description": "Quickly generates beautiful flashcards from text, extracting key points and categories.",
|
||||
"downloads": 312,
|
||||
"views": 4448,
|
||||
"downloads": 327,
|
||||
"views": 4685,
|
||||
"upvotes": 13,
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"saves": 20,
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"comments": 2,
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||||
"created_at": "2025-12-30",
|
||||
"updated_at": "2026-02-13",
|
||||
"url": "https://openwebui.com/posts/flash_card_65a2ea8f"
|
||||
},
|
||||
{
|
||||
"title": "OpenWebUI Skills Manager Tool",
|
||||
"slug": "openwebui_skills_manager_tool_b4bce8e4",
|
||||
"type": "tool",
|
||||
"version": "",
|
||||
"author": "",
|
||||
"description": "",
|
||||
"downloads": 303,
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||||
"views": 4265,
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"comments": 2,
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"created_at": "2026-02-28",
|
||||
"updated_at": "2026-03-05",
|
||||
"url": "https://openwebui.com/posts/openwebui_skills_manager_tool_b4bce8e4"
|
||||
},
|
||||
{
|
||||
"title": "Deep Dive",
|
||||
"slug": "deep_dive_c0b846e4",
|
||||
@@ -183,8 +181,8 @@
|
||||
"version": "1.0.0",
|
||||
"author": "Fu-Jie",
|
||||
"description": "A comprehensive thinking lens that dives deep into any content - from context to logic, insights, and action paths.",
|
||||
"downloads": 219,
|
||||
"views": 1764,
|
||||
"downloads": 228,
|
||||
"views": 1874,
|
||||
"upvotes": 6,
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"saves": 15,
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"comments": 0,
|
||||
@@ -199,8 +197,8 @@
|
||||
"version": "0.4.4",
|
||||
"author": "Fu-Jie",
|
||||
"description": "将对话导出为 Word (.docx),支持 Mermaid 图表 (客户端渲染 SVG+PNG)、LaTeX 数学公式、真实超链接、增强表格格式、代码高亮和引用块。",
|
||||
"downloads": 165,
|
||||
"views": 2831,
|
||||
"downloads": 172,
|
||||
"views": 3019,
|
||||
"upvotes": 14,
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||||
"saves": 7,
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"comments": 4,
|
||||
@@ -215,15 +213,31 @@
|
||||
"version": "0.1.0",
|
||||
"author": "Fu-Jie",
|
||||
"description": "Automatically extracts project rules from conversations and injects them into the folder's system prompt.",
|
||||
"downloads": 112,
|
||||
"views": 1992,
|
||||
"downloads": 128,
|
||||
"views": 2154,
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"upvotes": 7,
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"saves": 11,
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||||
"comments": 0,
|
||||
"created_at": "2026-01-20",
|
||||
"updated_at": "2026-01-20",
|
||||
"url": "https://openwebui.com/posts/folder_memory_auto_evolving_project_context_4a9875b2"
|
||||
},
|
||||
{
|
||||
"title": "🧠 Smart Mind Map Tool: Auto-Generate Interactive Knowledge Graphs",
|
||||
"slug": "smart_mind_map_tool_auto_generate_interactive_know_d25f4e3d",
|
||||
"type": "tool",
|
||||
"version": "1.0.0",
|
||||
"author": "Fu-Jie",
|
||||
"description": "Intelligently analyzes text content and generates interactive mind maps to help users structure and visualize knowledge.",
|
||||
"downloads": 106,
|
||||
"views": 2284,
|
||||
"upvotes": 5,
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||||
"saves": 4,
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"comments": 0,
|
||||
"created_at": "2026-03-04",
|
||||
"updated_at": "2026-03-05",
|
||||
"url": "https://openwebui.com/posts/smart_mind_map_tool_auto_generate_interactive_know_d25f4e3d"
|
||||
},
|
||||
{
|
||||
"title": "GitHub Copilot SDK Files Filter",
|
||||
"slug": "github_copilot_sdk_files_filter_403a62ee",
|
||||
@@ -231,8 +245,8 @@
|
||||
"version": "0.1.3",
|
||||
"author": "Fu-Jie",
|
||||
"description": "A specialized filter to bypass OpenWebUI's default RAG for GitHub Copilot SDK models. It moves uploaded files to a safe location ('copilot_files') so the Copilot Pipe can process them natively without interference.",
|
||||
"downloads": 76,
|
||||
"views": 2311,
|
||||
"downloads": 93,
|
||||
"views": 2462,
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||||
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||||
@@ -247,8 +261,8 @@
|
||||
"version": "1.5.0",
|
||||
"author": "Fu-Jie",
|
||||
"description": "基于 AntV Infographic 的智能信息图生成插件。支持多种专业模板,自动图标匹配,并提供 SVG/PNG 下载功能。",
|
||||
"downloads": 68,
|
||||
"views": 1431,
|
||||
"downloads": 72,
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||||
"views": 1566,
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||||
"upvotes": 10,
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||||
"saves": 1,
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||||
"comments": 0,
|
||||
@@ -263,8 +277,8 @@
|
||||
"version": "0.9.2",
|
||||
"author": "Fu-Jie",
|
||||
"description": "智能分析文本内容,生成交互式思维导图,帮助用户结构化和可视化知识。",
|
||||
"downloads": 52,
|
||||
"views": 761,
|
||||
"downloads": 56,
|
||||
"views": 807,
|
||||
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|
||||
"saves": 2,
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||||
"comments": 0,
|
||||
@@ -279,8 +293,8 @@
|
||||
"version": "1.2.2",
|
||||
"author": "Fu-Jie",
|
||||
"description": "通过智能摘要和消息压缩,降低长对话的 token 消耗,同时保持对话连贯性。",
|
||||
"downloads": 39,
|
||||
"views": 838,
|
||||
"downloads": 42,
|
||||
"views": 892,
|
||||
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||||
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||||
"comments": 0,
|
||||
@@ -288,22 +302,6 @@
|
||||
"updated_at": "2026-02-13",
|
||||
"url": "https://openwebui.com/posts/异步上下文压缩_5c0617cb"
|
||||
},
|
||||
{
|
||||
"title": "🧠 Smart Mind Map Tool: Auto-Generate Interactive Knowledge Graphs",
|
||||
"slug": "smart_mind_map_tool_auto_generate_interactive_know_d25f4e3d",
|
||||
"type": "tool",
|
||||
"version": "",
|
||||
"author": "",
|
||||
"description": "",
|
||||
"downloads": 34,
|
||||
"views": 767,
|
||||
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|
||||
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|
||||
"comments": 0,
|
||||
"created_at": "2026-03-04",
|
||||
"updated_at": "2026-03-05",
|
||||
"url": "https://openwebui.com/posts/smart_mind_map_tool_auto_generate_interactive_know_d25f4e3d"
|
||||
},
|
||||
{
|
||||
"title": "闪记卡 (Flash Card)",
|
||||
"slug": "闪记卡生成插件_4a31eac3",
|
||||
@@ -312,7 +310,7 @@
|
||||
"author": "Fu-Jie",
|
||||
"description": "快速将文本提炼为精美的学习记忆卡片,支持核心要点提取与分类。",
|
||||
"downloads": 34,
|
||||
"views": 888,
|
||||
"views": 922,
|
||||
"upvotes": 7,
|
||||
"saves": 1,
|
||||
"comments": 0,
|
||||
@@ -327,8 +325,8 @@
|
||||
"version": "1.0.0",
|
||||
"author": "Fu-Jie",
|
||||
"description": "全方位的思维透镜 —— 从背景全景到逻辑脉络,从深度洞察到行动路径。",
|
||||
"downloads": 31,
|
||||
"views": 647,
|
||||
"downloads": 34,
|
||||
"views": 699,
|
||||
"upvotes": 5,
|
||||
"saves": 1,
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||||
"comments": 0,
|
||||
@@ -339,28 +337,28 @@
|
||||
{
|
||||
"title": "An Unconventional Use of Open Terminal ⚡",
|
||||
"slug": "an_unconventional_use_of_open_terminal_35498f8f",
|
||||
"type": "post",
|
||||
"type": "action",
|
||||
"version": "",
|
||||
"author": "",
|
||||
"description": "",
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"downloads": 0,
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"views": 3205,
|
||||
"upvotes": 7,
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||||
"saves": 1,
|
||||
"comments": 2,
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"created_at": "2026-03-06",
|
||||
"updated_at": "2026-03-06",
|
||||
"updated_at": "2026-03-07",
|
||||
"url": "https://openwebui.com/posts/an_unconventional_use_of_open_terminal_35498f8f"
|
||||
},
|
||||
{
|
||||
"title": "🚀 GitHub Copilot SDK Pipe v0.9.0: Skills & RichUI",
|
||||
"slug": "github_copilot_sdk_pipe_v090_copilot_sdk_skills_co_99a42452",
|
||||
"type": "post",
|
||||
"type": "pipe",
|
||||
"version": "",
|
||||
"author": "",
|
||||
"description": "",
|
||||
"downloads": 0,
|
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"views": 1585,
|
||||
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|
||||
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||||
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"comments": 0,
|
||||
@@ -371,12 +369,12 @@
|
||||
{
|
||||
"title": "🚀 GitHub Copilot SDK Pipe v0.7.0: Skills & Rich UI 🛠️",
|
||||
"slug": "github_copilot_sdk_pipe_v070_native_tool_ui_zero_c_4af38131",
|
||||
"type": "post",
|
||||
"type": "pipe",
|
||||
"version": "",
|
||||
"author": "",
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||||
"description": "",
|
||||
"downloads": 0,
|
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|
||||
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||||
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|
||||
"saves": 4,
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"comments": 1,
|
||||
@@ -387,14 +385,14 @@
|
||||
{
|
||||
"title": "🚀 GitHub Copilot SDK Pipe: AI That Executes, Not Just Talks",
|
||||
"slug": "github_copilot_sdk_for_openwebui_elevate_your_ai_t_a140f293",
|
||||
"type": "post",
|
||||
"type": "pipe",
|
||||
"version": "",
|
||||
"author": "",
|
||||
"description": "",
|
||||
"downloads": 0,
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"views": 2390,
|
||||
"views": 2441,
|
||||
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|
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|
||||
"saves": 5,
|
||||
"comments": 0,
|
||||
"created_at": "2026-02-10",
|
||||
"updated_at": "2026-02-10",
|
||||
@@ -403,15 +401,15 @@
|
||||
{
|
||||
"title": "🚀 Open WebUI Prompt Plus: AI-Powered Prompt Manager",
|
||||
"slug": "open_webui_prompt_plus_ai_powered_prompt_manager_s_15fa060e",
|
||||
"type": "post",
|
||||
"type": "action",
|
||||
"version": "",
|
||||
"author": "",
|
||||
"description": "",
|
||||
"downloads": 0,
|
||||
"views": 1915,
|
||||
"upvotes": 12,
|
||||
"saves": 21,
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"comments": 8,
|
||||
"views": 1999,
|
||||
"upvotes": 13,
|
||||
"saves": 23,
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||||
"comments": 9,
|
||||
"created_at": "2026-01-25",
|
||||
"updated_at": "2026-01-28",
|
||||
"url": "https://openwebui.com/posts/open_webui_prompt_plus_ai_powered_prompt_manager_s_15fa060e"
|
||||
@@ -424,7 +422,7 @@
|
||||
"author": "",
|
||||
"description": "",
|
||||
"downloads": 0,
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|
||||
"views": 267,
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||||
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||||
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||||
@@ -435,14 +433,14 @@
|
||||
{
|
||||
"title": " 🛠️ Debug Open WebUI Plugins in Your Browser",
|
||||
"slug": "debug_open_webui_plugins_in_your_browser_81bf7960",
|
||||
"type": "post",
|
||||
"type": "action",
|
||||
"version": "",
|
||||
"author": "",
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"description": "",
|
||||
"downloads": 0,
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||||
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||||
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||||
"comments": 2,
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||||
"created_at": "2026-01-10",
|
||||
"updated_at": "2026-01-10",
|
||||
@@ -454,11 +452,11 @@
|
||||
"name": "Fu-Jie",
|
||||
"profile_url": "https://openwebui.com/u/Fu-Jie",
|
||||
"profile_image": "https://community.s3.openwebui.com/uploads/users/b15d1348-4347-42b4-b815-e053342d6cb0/profile_d9510745-4bd4-4f8f-a997-4a21847d9300.webp",
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||||
"followers": 315,
|
||||
"followers": 348,
|
||||
"following": 6,
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||||
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||||
"post_points": 279,
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"contributions": 59
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||||
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||||
"post_points": 299,
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||||
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||||
"contributions": 67
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||||
}
|
||||
}
|
||||
462
docs/community-stats.json.old
Normal file
462
docs/community-stats.json.old
Normal file
@@ -0,0 +1,462 @@
|
||||
{
|
||||
"total_posts": 27,
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||||
"total_downloads": 8765,
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||||
"total_views": 92460,
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||||
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||||
"total_downvotes": 4,
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"total_saves": 431,
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|
||||
"by_type": {
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||||
"tool": 2,
|
||||
"filter": 4,
|
||||
"pipe": 1,
|
||||
"action": 12,
|
||||
"prompt": 1
|
||||
},
|
||||
"posts": [
|
||||
{
|
||||
"title": "Smart Mind Map",
|
||||
"slug": "turn_any_text_into_beautiful_mind_maps_3094c59a",
|
||||
"type": "action",
|
||||
"version": "1.0.0",
|
||||
"author": "Fu-Jie",
|
||||
"description": "Intelligently analyzes text content and generates interactive mind maps to help users structure and visualize knowledge.",
|
||||
"downloads": 1730,
|
||||
"views": 14700,
|
||||
"upvotes": 30,
|
||||
"saves": 67,
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||||
"comments": 21,
|
||||
"created_at": "2025-12-31",
|
||||
"updated_at": "2026-02-28",
|
||||
"url": "https://openwebui.com/posts/turn_any_text_into_beautiful_mind_maps_3094c59a"
|
||||
},
|
||||
{
|
||||
"title": "Smart Infographic",
|
||||
"slug": "smart_infographic_ad6f0c7f",
|
||||
"type": "action",
|
||||
"version": "1.5.0",
|
||||
"author": "Fu-Jie",
|
||||
"description": "AI-powered infographic generator based on AntV Infographic. Supports professional templates, auto-icon matching, and SVG/PNG downloads.",
|
||||
"downloads": 1330,
|
||||
"views": 13250,
|
||||
"upvotes": 27,
|
||||
"saves": 50,
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||||
"comments": 10,
|
||||
"created_at": "2025-12-28",
|
||||
"updated_at": "2026-02-13",
|
||||
"url": "https://openwebui.com/posts/smart_infographic_ad6f0c7f"
|
||||
},
|
||||
{
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||||
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||||
{
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||||
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||||
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||||
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||||
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||||
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|
||||
"username": "Fu-Jie",
|
||||
"name": "Fu-Jie",
|
||||
"profile_url": "https://openwebui.com/u/Fu-Jie",
|
||||
"profile_image": "https://community.s3.openwebui.com/uploads/users/b15d1348-4347-42b4-b815-e053342d6cb0/profile_d9510745-4bd4-4f8f-a997-4a21847d9300.webp",
|
||||
"followers": 344,
|
||||
"following": 6,
|
||||
"total_points": 351,
|
||||
"post_points": 298,
|
||||
"comment_points": 53,
|
||||
"contributions": 66
|
||||
}
|
||||
}
|
||||
@@ -8,7 +8,7 @@
|
||||
> *Blue: Downloads | Purple: Views (Real-time dynamic)*
|
||||
|
||||
### 📂 Content Distribution
|
||||

|
||||

|
||||
|
||||
|
||||
## 📈 Overview
|
||||
@@ -25,13 +25,11 @@
|
||||
|
||||
## 📂 By Type
|
||||
|
||||
- 
|
||||
- 
|
||||
- 
|
||||
- 
|
||||
- 
|
||||
- 
|
||||
- 
|
||||
- 
|
||||
|
||||
## 📋 Posts List
|
||||
|
||||
@@ -39,28 +37,28 @@
|
||||
|:---:|------|:---:|:---:|:---:|:---:|:---:|:---:|:---:|
|
||||
| 1 | [Smart Mind Map](https://openwebui.com/posts/turn_any_text_into_beautiful_mind_maps_3094c59a) | action |  |  |  |  |  | 2026-02-27 |
|
||||
| 2 | [Smart Infographic](https://openwebui.com/posts/smart_infographic_ad6f0c7f) | action |  |  |  |  |  | 2026-02-13 |
|
||||
| 3 | [Markdown Normalizer](https://openwebui.com/posts/markdown_normalizer_baaa8732) | filter |  |  |  |  |  | 2026-03-03 |
|
||||
| 3 | [Markdown Normalizer](https://openwebui.com/posts/markdown_normalizer_baaa8732) | filter |  |  |  |  |  | 2026-03-08 |
|
||||
| 4 | [Export to Word Enhanced](https://openwebui.com/posts/export_to_word_enhanced_formatting_fca6a315) | action |  |  |  |  |  | 2026-02-13 |
|
||||
| 5 | [Async Context Compression](https://openwebui.com/posts/async_context_compression_b1655bc8) | filter |  |  |  |  |  | 2026-03-03 |
|
||||
| 5 | [Async Context Compression](https://openwebui.com/posts/async_context_compression_b1655bc8) | filter |  |  |  |  |  | 2026-03-13 |
|
||||
| 6 | [AI Task Instruction Generator](https://openwebui.com/posts/ai_task_instruction_generator_9bab8b37) | prompt |  |  |  |  |  | 2026-01-28 |
|
||||
| 7 | [Export to Excel](https://openwebui.com/posts/export_mulit_table_to_excel_244b8f9d) | action |  |  |  |  |  | 2026-02-13 |
|
||||
| 8 | [GitHub Copilot Official SDK Pipe](https://openwebui.com/posts/github_copilot_official_sdk_pipe_ce96f7b4) | pipe |  |  |  |  |  | 2026-03-03 |
|
||||
| 9 | [Flash Card](https://openwebui.com/posts/flash_card_65a2ea8f) | action |  |  |  |  |  | 2026-02-13 |
|
||||
| 10 | [OpenWebUI Skills Manager Tool](https://openwebui.com/posts/openwebui_skills_manager_tool_b4bce8e4) | tool |  |  |  |  |  | 2026-03-05 |
|
||||
| 8 | [OpenWebUI Skills Manager Tool](https://openwebui.com/posts/openwebui_skills_manager_tool_b4bce8e4) | tool |  |  |  |  |  | 2026-03-13 |
|
||||
| 9 | [GitHub Copilot Official SDK Pipe](https://openwebui.com/posts/github_copilot_official_sdk_pipe_ce96f7b4) | pipe |  |  |  |  |  | 2026-03-07 |
|
||||
| 10 | [Flash Card](https://openwebui.com/posts/flash_card_65a2ea8f) | action |  |  |  |  |  | 2026-02-13 |
|
||||
| 11 | [Deep Dive](https://openwebui.com/posts/deep_dive_c0b846e4) | action |  |  |  |  |  | 2026-01-08 |
|
||||
| 12 | [导出为Word增强版](https://openwebui.com/posts/导出为_word_支持公式流程图表格和代码块_8a6306c0) | action |  |  |  |  |  | 2026-02-13 |
|
||||
| 13 | [📂 Folder Memory – Auto-Evolving Project Context](https://openwebui.com/posts/folder_memory_auto_evolving_project_context_4a9875b2) | filter |  |  |  |  |  | 2026-01-20 |
|
||||
| 14 | [GitHub Copilot SDK Files Filter](https://openwebui.com/posts/github_copilot_sdk_files_filter_403a62ee) | filter |  |  |  |  |  | 2026-03-03 |
|
||||
| 15 | [智能信息图](https://openwebui.com/posts/智能信息图_e04a48ff) | action |  |  |  |  |  | 2026-02-13 |
|
||||
| 16 | [思维导图](https://openwebui.com/posts/智能生成交互式思维导图帮助用户可视化知识_8d4b097b) | action |  |  |  |  |  | 2026-02-13 |
|
||||
| 17 | [异步上下文压缩](https://openwebui.com/posts/异步上下文压缩_5c0617cb) | action |  |  |  |  |  | 2026-02-13 |
|
||||
| 18 | [🧠 Smart Mind Map Tool: Auto-Generate Interactive Knowledge Graphs](https://openwebui.com/posts/smart_mind_map_tool_auto_generate_interactive_know_d25f4e3d) | tool |  |  |  |  |  | 2026-03-05 |
|
||||
| 14 | [🧠 Smart Mind Map Tool: Auto-Generate Interactive Knowledge Graphs](https://openwebui.com/posts/smart_mind_map_tool_auto_generate_interactive_know_d25f4e3d) | tool |  |  |  |  |  | 2026-03-05 |
|
||||
| 15 | [GitHub Copilot SDK Files Filter](https://openwebui.com/posts/github_copilot_sdk_files_filter_403a62ee) | filter |  |  |  |  |  | 2026-03-03 |
|
||||
| 16 | [智能信息图](https://openwebui.com/posts/智能信息图_e04a48ff) | action |  |  |  |  |  | 2026-02-13 |
|
||||
| 17 | [思维导图](https://openwebui.com/posts/智能生成交互式思维导图帮助用户可视化知识_8d4b097b) | action |  |  |  |  |  | 2026-02-13 |
|
||||
| 18 | [异步上下文压缩](https://openwebui.com/posts/异步上下文压缩_5c0617cb) | action |  |  |  |  |  | 2026-02-13 |
|
||||
| 19 | [闪记卡 (Flash Card)](https://openwebui.com/posts/闪记卡生成插件_4a31eac3) | action |  |  |  |  |  | 2026-02-13 |
|
||||
| 20 | [精读](https://openwebui.com/posts/精读_99830b0f) | action |  |  |  |  |  | 2026-01-08 |
|
||||
| 21 | [An Unconventional Use of Open Terminal ⚡](https://openwebui.com/posts/an_unconventional_use_of_open_terminal_35498f8f) | post |  |  |  |  |  | 2026-03-06 |
|
||||
| 22 | [🚀 GitHub Copilot SDK Pipe v0.9.0: Skills & RichUI](https://openwebui.com/posts/github_copilot_sdk_pipe_v090_copilot_sdk_skills_co_99a42452) | post |  |  |  |  |  | 2026-02-28 |
|
||||
| 23 | [🚀 GitHub Copilot SDK Pipe v0.7.0: Skills & Rich UI 🛠️](https://openwebui.com/posts/github_copilot_sdk_pipe_v070_native_tool_ui_zero_c_4af38131) | post |  |  |  |  |  | 2026-02-28 |
|
||||
| 24 | [🚀 GitHub Copilot SDK Pipe: AI That Executes, Not Just Talks](https://openwebui.com/posts/github_copilot_sdk_for_openwebui_elevate_your_ai_t_a140f293) | post |  |  |  |  |  | 2026-02-10 |
|
||||
| 25 | [🚀 Open WebUI Prompt Plus: AI-Powered Prompt Manager](https://openwebui.com/posts/open_webui_prompt_plus_ai_powered_prompt_manager_s_15fa060e) | post |  |  |  |  |  | 2026-01-28 |
|
||||
| 21 | [An Unconventional Use of Open Terminal ⚡](https://openwebui.com/posts/an_unconventional_use_of_open_terminal_35498f8f) | action |  |  |  |  |  | 2026-03-07 |
|
||||
| 22 | [🚀 GitHub Copilot SDK Pipe v0.9.0: Skills & RichUI](https://openwebui.com/posts/github_copilot_sdk_pipe_v090_copilot_sdk_skills_co_99a42452) | pipe |  |  |  |  |  | 2026-02-28 |
|
||||
| 23 | [🚀 GitHub Copilot SDK Pipe v0.7.0: Skills & Rich UI 🛠️](https://openwebui.com/posts/github_copilot_sdk_pipe_v070_native_tool_ui_zero_c_4af38131) | pipe |  |  |  |  |  | 2026-02-28 |
|
||||
| 24 | [🚀 GitHub Copilot SDK Pipe: AI That Executes, Not Just Talks](https://openwebui.com/posts/github_copilot_sdk_for_openwebui_elevate_your_ai_t_a140f293) | pipe |  |  |  |  |  | 2026-02-10 |
|
||||
| 25 | [🚀 Open WebUI Prompt Plus: AI-Powered Prompt Manager](https://openwebui.com/posts/open_webui_prompt_plus_ai_powered_prompt_manager_s_15fa060e) | action |  |  |  |  |  | 2026-01-28 |
|
||||
| 26 | [Review of Claude Haiku 4.5](https://openwebui.com/posts/review_of_claude_haiku_45_41b0db39) | review |  |  |  |  |  | 2026-01-14 |
|
||||
| 27 | [ 🛠️ Debug Open WebUI Plugins in Your Browser](https://openwebui.com/posts/debug_open_webui_plugins_in_your_browser_81bf7960) | post |  |  |  |  |  | 2026-01-10 |
|
||||
| 27 | [ 🛠️ Debug Open WebUI Plugins in Your Browser](https://openwebui.com/posts/debug_open_webui_plugins_in_your_browser_81bf7960) | action |  |  |  |  |  | 2026-01-10 |
|
||||
|
||||
@@ -8,7 +8,7 @@
|
||||
> *蓝色: 总下载量 | 紫色: 总浏览量 (实时动态生成)*
|
||||
|
||||
### 📂 内容分类占比 (Distribution)
|
||||

|
||||

|
||||
|
||||
|
||||
## 📈 总览
|
||||
@@ -25,13 +25,11 @@
|
||||
|
||||
## 📂 按类型分类
|
||||
|
||||
- 
|
||||
- 
|
||||
- 
|
||||
- 
|
||||
- 
|
||||
- 
|
||||
- 
|
||||
- 
|
||||
|
||||
## 📋 发布列表
|
||||
|
||||
@@ -39,28 +37,28 @@
|
||||
|:---:|------|:---:|:---:|:---:|:---:|:---:|:---:|:---:|
|
||||
| 1 | [Smart Mind Map](https://openwebui.com/posts/turn_any_text_into_beautiful_mind_maps_3094c59a) | action |  |  |  |  |  | 2026-02-27 |
|
||||
| 2 | [Smart Infographic](https://openwebui.com/posts/smart_infographic_ad6f0c7f) | action |  |  |  |  |  | 2026-02-13 |
|
||||
| 3 | [Markdown Normalizer](https://openwebui.com/posts/markdown_normalizer_baaa8732) | filter |  |  |  |  |  | 2026-03-03 |
|
||||
| 3 | [Markdown Normalizer](https://openwebui.com/posts/markdown_normalizer_baaa8732) | filter |  |  |  |  |  | 2026-03-08 |
|
||||
| 4 | [Export to Word Enhanced](https://openwebui.com/posts/export_to_word_enhanced_formatting_fca6a315) | action |  |  |  |  |  | 2026-02-13 |
|
||||
| 5 | [Async Context Compression](https://openwebui.com/posts/async_context_compression_b1655bc8) | filter |  |  |  |  |  | 2026-03-03 |
|
||||
| 5 | [Async Context Compression](https://openwebui.com/posts/async_context_compression_b1655bc8) | filter |  |  |  |  |  | 2026-03-13 |
|
||||
| 6 | [AI Task Instruction Generator](https://openwebui.com/posts/ai_task_instruction_generator_9bab8b37) | prompt |  |  |  |  |  | 2026-01-28 |
|
||||
| 7 | [Export to Excel](https://openwebui.com/posts/export_mulit_table_to_excel_244b8f9d) | action |  |  |  |  |  | 2026-02-13 |
|
||||
| 8 | [GitHub Copilot Official SDK Pipe](https://openwebui.com/posts/github_copilot_official_sdk_pipe_ce96f7b4) | pipe |  |  |  |  |  | 2026-03-03 |
|
||||
| 9 | [Flash Card](https://openwebui.com/posts/flash_card_65a2ea8f) | action |  |  |  |  |  | 2026-02-13 |
|
||||
| 10 | [OpenWebUI Skills Manager Tool](https://openwebui.com/posts/openwebui_skills_manager_tool_b4bce8e4) | tool |  |  |  |  |  | 2026-03-05 |
|
||||
| 8 | [OpenWebUI Skills Manager Tool](https://openwebui.com/posts/openwebui_skills_manager_tool_b4bce8e4) | tool |  |  |  |  |  | 2026-03-13 |
|
||||
| 9 | [GitHub Copilot Official SDK Pipe](https://openwebui.com/posts/github_copilot_official_sdk_pipe_ce96f7b4) | pipe |  |  |  |  |  | 2026-03-07 |
|
||||
| 10 | [Flash Card](https://openwebui.com/posts/flash_card_65a2ea8f) | action |  |  |  |  |  | 2026-02-13 |
|
||||
| 11 | [Deep Dive](https://openwebui.com/posts/deep_dive_c0b846e4) | action |  |  |  |  |  | 2026-01-08 |
|
||||
| 12 | [导出为Word增强版](https://openwebui.com/posts/导出为_word_支持公式流程图表格和代码块_8a6306c0) | action |  |  |  |  |  | 2026-02-13 |
|
||||
| 13 | [📂 Folder Memory – Auto-Evolving Project Context](https://openwebui.com/posts/folder_memory_auto_evolving_project_context_4a9875b2) | filter |  |  |  |  |  | 2026-01-20 |
|
||||
| 14 | [GitHub Copilot SDK Files Filter](https://openwebui.com/posts/github_copilot_sdk_files_filter_403a62ee) | filter |  |  |  |  |  | 2026-03-03 |
|
||||
| 15 | [智能信息图](https://openwebui.com/posts/智能信息图_e04a48ff) | action |  |  |  |  |  | 2026-02-13 |
|
||||
| 16 | [思维导图](https://openwebui.com/posts/智能生成交互式思维导图帮助用户可视化知识_8d4b097b) | action |  |  |  |  |  | 2026-02-13 |
|
||||
| 17 | [异步上下文压缩](https://openwebui.com/posts/异步上下文压缩_5c0617cb) | action |  |  |  |  |  | 2026-02-13 |
|
||||
| 18 | [🧠 Smart Mind Map Tool: Auto-Generate Interactive Knowledge Graphs](https://openwebui.com/posts/smart_mind_map_tool_auto_generate_interactive_know_d25f4e3d) | tool |  |  |  |  |  | 2026-03-05 |
|
||||
| 14 | [🧠 Smart Mind Map Tool: Auto-Generate Interactive Knowledge Graphs](https://openwebui.com/posts/smart_mind_map_tool_auto_generate_interactive_know_d25f4e3d) | tool |  |  |  |  |  | 2026-03-05 |
|
||||
| 15 | [GitHub Copilot SDK Files Filter](https://openwebui.com/posts/github_copilot_sdk_files_filter_403a62ee) | filter |  |  |  |  |  | 2026-03-03 |
|
||||
| 16 | [智能信息图](https://openwebui.com/posts/智能信息图_e04a48ff) | action |  |  |  |  |  | 2026-02-13 |
|
||||
| 17 | [思维导图](https://openwebui.com/posts/智能生成交互式思维导图帮助用户可视化知识_8d4b097b) | action |  |  |  |  |  | 2026-02-13 |
|
||||
| 18 | [异步上下文压缩](https://openwebui.com/posts/异步上下文压缩_5c0617cb) | action |  |  |  |  |  | 2026-02-13 |
|
||||
| 19 | [闪记卡 (Flash Card)](https://openwebui.com/posts/闪记卡生成插件_4a31eac3) | action |  |  |  |  |  | 2026-02-13 |
|
||||
| 20 | [精读](https://openwebui.com/posts/精读_99830b0f) | action |  |  |  |  |  | 2026-01-08 |
|
||||
| 21 | [An Unconventional Use of Open Terminal ⚡](https://openwebui.com/posts/an_unconventional_use_of_open_terminal_35498f8f) | post |  |  |  |  |  | 2026-03-06 |
|
||||
| 22 | [🚀 GitHub Copilot SDK Pipe v0.9.0: Skills & RichUI](https://openwebui.com/posts/github_copilot_sdk_pipe_v090_copilot_sdk_skills_co_99a42452) | post |  |  |  |  |  | 2026-02-28 |
|
||||
| 23 | [🚀 GitHub Copilot SDK Pipe v0.7.0: Skills & Rich UI 🛠️](https://openwebui.com/posts/github_copilot_sdk_pipe_v070_native_tool_ui_zero_c_4af38131) | post |  |  |  |  |  | 2026-02-28 |
|
||||
| 24 | [🚀 GitHub Copilot SDK Pipe: AI That Executes, Not Just Talks](https://openwebui.com/posts/github_copilot_sdk_for_openwebui_elevate_your_ai_t_a140f293) | post |  |  |  |  |  | 2026-02-10 |
|
||||
| 25 | [🚀 Open WebUI Prompt Plus: AI-Powered Prompt Manager](https://openwebui.com/posts/open_webui_prompt_plus_ai_powered_prompt_manager_s_15fa060e) | post |  |  |  |  |  | 2026-01-28 |
|
||||
| 21 | [An Unconventional Use of Open Terminal ⚡](https://openwebui.com/posts/an_unconventional_use_of_open_terminal_35498f8f) | action |  |  |  |  |  | 2026-03-07 |
|
||||
| 22 | [🚀 GitHub Copilot SDK Pipe v0.9.0: Skills & RichUI](https://openwebui.com/posts/github_copilot_sdk_pipe_v090_copilot_sdk_skills_co_99a42452) | pipe |  |  |  |  |  | 2026-02-28 |
|
||||
| 23 | [🚀 GitHub Copilot SDK Pipe v0.7.0: Skills & Rich UI 🛠️](https://openwebui.com/posts/github_copilot_sdk_pipe_v070_native_tool_ui_zero_c_4af38131) | pipe |  |  |  |  |  | 2026-02-28 |
|
||||
| 24 | [🚀 GitHub Copilot SDK Pipe: AI That Executes, Not Just Talks](https://openwebui.com/posts/github_copilot_sdk_for_openwebui_elevate_your_ai_t_a140f293) | pipe |  |  |  |  |  | 2026-02-10 |
|
||||
| 25 | [🚀 Open WebUI Prompt Plus: AI-Powered Prompt Manager](https://openwebui.com/posts/open_webui_prompt_plus_ai_powered_prompt_manager_s_15fa060e) | action |  |  |  |  |  | 2026-01-28 |
|
||||
| 26 | [Review of Claude Haiku 4.5](https://openwebui.com/posts/review_of_claude_haiku_45_41b0db39) | review |  |  |  |  |  | 2026-01-14 |
|
||||
| 27 | [ 🛠️ Debug Open WebUI Plugins in Your Browser](https://openwebui.com/posts/debug_open_webui_plugins_in_your_browser_81bf7960) | post |  |  |  |  |  | 2026-01-10 |
|
||||
| 27 | [ 🛠️ Debug Open WebUI Plugins in Your Browser](https://openwebui.com/posts/debug_open_webui_plugins_in_your_browser_81bf7960) | action |  |  |  |  |  | 2026-01-10 |
|
||||
|
||||
124
docs/development/fix-role-tool-error.md
Normal file
124
docs/development/fix-role-tool-error.md
Normal file
@@ -0,0 +1,124 @@
|
||||
# Fix: OpenAI API Error "messages with role 'tool' must be a response to a preceding message with 'tool_calls'"
|
||||
|
||||
## Problem Description
|
||||
In the `async-context-compression` filter, chat history can be trimmed or summarized when the conversation grows. If the retained tail starts in the middle of a native tool-calling sequence, the next request may begin with a `tool` message whose triggering `assistant` message is no longer present.
|
||||
|
||||
That produces the OpenAI API error:
|
||||
`"messages with role 'tool' must be a response to a preceding message with 'tool_calls'"`
|
||||
|
||||
## Root Cause
|
||||
History compression boundaries were not fully aware of atomic tool-call chains. A valid chain may include:
|
||||
|
||||
1. An `assistant` message with `tool_calls`
|
||||
2. One or more `tool` messages
|
||||
3. An optional assistant follow-up that consumes the tool results
|
||||
|
||||
If truncation happens inside that chain, the request sent to the model becomes invalid.
|
||||
|
||||
## Solution: Atomic Boundary Alignment
|
||||
The fix groups tool-call sequences into atomic units and aligns trim boundaries to those groups.
|
||||
|
||||
### 1. `_get_atomic_groups()`
|
||||
This helper groups message indices into units that must be kept or dropped together. It explicitly recognizes native tool-calling patterns such as:
|
||||
|
||||
- `assistant(tool_calls)`
|
||||
- `tool`
|
||||
- assistant follow-up response
|
||||
|
||||
Conceptually, it treats the whole sequence as one atomic block instead of independent messages.
|
||||
|
||||
```python
|
||||
def _get_atomic_groups(self, messages: List[Dict]) -> List[List[int]]:
|
||||
groups = []
|
||||
current_group = []
|
||||
|
||||
for i, msg in enumerate(messages):
|
||||
role = msg.get("role")
|
||||
has_tool_calls = bool(msg.get("tool_calls"))
|
||||
|
||||
if role == "assistant" and has_tool_calls:
|
||||
if current_group:
|
||||
groups.append(current_group)
|
||||
current_group = [i]
|
||||
elif role == "tool":
|
||||
if not current_group:
|
||||
groups.append([i])
|
||||
else:
|
||||
current_group.append(i)
|
||||
elif (
|
||||
role == "assistant"
|
||||
and current_group
|
||||
and messages[current_group[-1]].get("role") == "tool"
|
||||
):
|
||||
current_group.append(i)
|
||||
groups.append(current_group)
|
||||
current_group = []
|
||||
else:
|
||||
if current_group:
|
||||
groups.append(current_group)
|
||||
current_group = []
|
||||
groups.append([i])
|
||||
|
||||
if current_group:
|
||||
groups.append(current_group)
|
||||
|
||||
return groups
|
||||
```
|
||||
|
||||
### 2. `_align_tail_start_to_atomic_boundary()`
|
||||
This helper checks whether a proposed trim point falls inside one of those atomic groups. If it does, the start index is moved backward to the beginning of that group.
|
||||
|
||||
```python
|
||||
def _align_tail_start_to_atomic_boundary(
|
||||
self, messages: List[Dict], raw_start_index: int, protected_prefix: int
|
||||
) -> int:
|
||||
aligned_start = max(raw_start_index, protected_prefix)
|
||||
|
||||
if aligned_start <= protected_prefix or aligned_start >= len(messages):
|
||||
return aligned_start
|
||||
|
||||
trimmable = messages[protected_prefix:]
|
||||
local_start = aligned_start - protected_prefix
|
||||
|
||||
for group in self._get_atomic_groups(trimmable):
|
||||
group_start = group[0]
|
||||
group_end = group[-1] + 1
|
||||
|
||||
if local_start == group_start:
|
||||
return aligned_start
|
||||
|
||||
if group_start < local_start < group_end:
|
||||
return protected_prefix + group_start
|
||||
|
||||
return aligned_start
|
||||
```
|
||||
|
||||
### 3. Applied to Tail Retention and Summary Progress
|
||||
The aligned boundary is now used when rebuilding the retained tail and when calculating how much history can be summarized safely.
|
||||
|
||||
Example from the current implementation:
|
||||
|
||||
```python
|
||||
raw_start_index = max(compressed_count, effective_keep_first)
|
||||
start_index = self._align_tail_start_to_atomic_boundary(
|
||||
messages, raw_start_index, effective_keep_first
|
||||
)
|
||||
tail_messages = messages[start_index:]
|
||||
```
|
||||
|
||||
And during summary progress calculation:
|
||||
|
||||
```python
|
||||
raw_target_compressed_count = max(0, len(messages) - self.valves.keep_last)
|
||||
target_compressed_count = self._align_tail_start_to_atomic_boundary(
|
||||
messages, raw_target_compressed_count, effective_keep_first
|
||||
)
|
||||
```
|
||||
|
||||
## Verification Results
|
||||
- **First compression boundary**: When history first crosses the compression threshold, the retained tail no longer starts inside a tool-call block.
|
||||
- **Complex sessions**: Real-world testing with 30+ messages, multiple tool calls, and failed calls remained stable during background summarization.
|
||||
- **Regression behavior**: The filter now prefers a valid boundary even if that means retaining slightly more context than a naive raw slice would allow.
|
||||
|
||||
## Conclusion
|
||||
The fix prevents orphaned `tool` messages by making history trimming and summary progress aware of atomic tool-call groups. This eliminates the 400 error during long conversations and background compression.
|
||||
126
docs/development/fix-role-tool-error.zh.md
Normal file
126
docs/development/fix-role-tool-error.zh.md
Normal file
@@ -0,0 +1,126 @@
|
||||
# 修复:OpenAI API 错误 "messages with role 'tool' must be a response to a preceding message with 'tool_calls'"
|
||||
|
||||
## 问题描述
|
||||
在 `async-context-compression` 过滤器中,当对话历史变长时,系统会对消息进行裁剪或摘要。如果保留下来的尾部历史恰好从一个原生工具调用序列的中间开始,那么下一次请求就可能以一条 `tool` 消息开头,而触发它的 `assistant` 消息已经被裁掉。
|
||||
|
||||
这就会触发 OpenAI API 的错误:
|
||||
`"messages with role 'tool' must be a response to a preceding message with 'tool_calls'"`
|
||||
|
||||
## 根本原因
|
||||
|
||||
真正的缺陷在于历史压缩边界没有完整识别工具调用链的“原子性”。一个合法的工具调用链通常包括:
|
||||
|
||||
1. 一条带有 `tool_calls` 的 `assistant` 消息
|
||||
2. 一条或多条 `tool` 消息
|
||||
3. 一条可选的 assistant 跟进回复,用于消费工具结果
|
||||
|
||||
如果裁剪点落在这段链条内部,发给模型的消息序列就会变成非法格式。
|
||||
|
||||
## 解决方案:对齐原子边界
|
||||
修复通过把工具调用序列分组为原子单元,并使裁剪边界对齐到这些单元。
|
||||
|
||||
### 1. `_get_atomic_groups()`
|
||||
这个辅助函数会把消息索引分组为“必须一起保留或一起丢弃”的原子单元。它显式识别以下原生工具调用模式:
|
||||
|
||||
- `assistant(tool_calls)`
|
||||
- `tool`
|
||||
- assistant 跟进回复
|
||||
|
||||
也就是说,它不再把这些消息看成彼此独立的单条消息,而是把整段序列视为一个原子块。
|
||||
|
||||
```python
|
||||
def _get_atomic_groups(self, messages: List[Dict]) -> List[List[int]]:
|
||||
groups = []
|
||||
current_group = []
|
||||
|
||||
for i, msg in enumerate(messages):
|
||||
role = msg.get("role")
|
||||
has_tool_calls = bool(msg.get("tool_calls"))
|
||||
|
||||
if role == "assistant" and has_tool_calls:
|
||||
if current_group:
|
||||
groups.append(current_group)
|
||||
current_group = [i]
|
||||
elif role == "tool":
|
||||
if not current_group:
|
||||
groups.append([i])
|
||||
else:
|
||||
current_group.append(i)
|
||||
elif (
|
||||
role == "assistant"
|
||||
and current_group
|
||||
and messages[current_group[-1]].get("role") == "tool"
|
||||
):
|
||||
current_group.append(i)
|
||||
groups.append(current_group)
|
||||
current_group = []
|
||||
else:
|
||||
if current_group:
|
||||
groups.append(current_group)
|
||||
current_group = []
|
||||
groups.append([i])
|
||||
|
||||
if current_group:
|
||||
groups.append(current_group)
|
||||
|
||||
return groups
|
||||
```
|
||||
|
||||
### 2. `_align_tail_start_to_atomic_boundary()`
|
||||
这个辅助函数会检查一个拟定的裁剪起点是否落在某个原子块内部。如果是,它会把起点向前回退到该原子块的开头位置。
|
||||
|
||||
```python
|
||||
def _align_tail_start_to_atomic_boundary(
|
||||
self, messages: List[Dict], raw_start_index: int, protected_prefix: int
|
||||
) -> int:
|
||||
aligned_start = max(raw_start_index, protected_prefix)
|
||||
|
||||
if aligned_start <= protected_prefix or aligned_start >= len(messages):
|
||||
return aligned_start
|
||||
|
||||
trimmable = messages[protected_prefix:]
|
||||
local_start = aligned_start - protected_prefix
|
||||
|
||||
for group in self._get_atomic_groups(trimmable):
|
||||
group_start = group[0]
|
||||
group_end = group[-1] + 1
|
||||
|
||||
if local_start == group_start:
|
||||
return aligned_start
|
||||
|
||||
if group_start < local_start < group_end:
|
||||
return protected_prefix + group_start
|
||||
|
||||
return aligned_start
|
||||
```
|
||||
|
||||
### 3. 应用于尾部保留和摘要进度计算
|
||||
这个对齐后的边界现在被用于重建保留尾部消息,以及计算可以安全摘要的历史范围。
|
||||
|
||||
当前实现中的示例:
|
||||
|
||||
```python
|
||||
raw_start_index = max(compressed_count, effective_keep_first)
|
||||
start_index = self._align_tail_start_to_atomic_boundary(
|
||||
messages, raw_start_index, effective_keep_first
|
||||
)
|
||||
tail_messages = messages[start_index:]
|
||||
```
|
||||
|
||||
在摘要进度计算中同样如此:
|
||||
|
||||
```python
|
||||
raw_target_compressed_count = max(0, len(messages) - self.valves.keep_last)
|
||||
target_compressed_count = self._align_tail_start_to_atomic_boundary(
|
||||
messages, raw_target_compressed_count, effective_keep_first
|
||||
)
|
||||
```
|
||||
|
||||
## 验证结果
|
||||
|
||||
- **首次压缩边界**:当历史第一次越过压缩阈值时,保留尾部不再从工具调用块中间开始。
|
||||
- **复杂会话验证**:在 30+ 条消息、多个工具调用和失败调用的真实场景下,后台摘要过程保持稳定。
|
||||
- **回归行为更安全**:过滤器现在会优先选择合法边界,即使这意味着比原始的朴素切片稍微多保留一点上下文。
|
||||
|
||||
## 结论
|
||||
通过让历史裁剪与摘要进度计算具备"工具调用原子块感知"能力,避免孤立的 `tool` 消息出现,消除长对话与后台压缩期间的 400 错误。
|
||||
@@ -103,13 +103,6 @@ hide:
|
||||
|
||||
## Quick Start
|
||||
|
||||
### Using Prompts
|
||||
|
||||
1. Browse the [Prompt Library](prompts/library.md) and select a prompt
|
||||
2. Click the **Copy** button to copy the prompt to your clipboard
|
||||
3. In OpenWebUI, click the "Prompt" button above the input box
|
||||
4. Paste the content and save
|
||||
|
||||
### Using Plugins
|
||||
|
||||
1. **Install from OpenWebUI Community (Recommended)**:
|
||||
@@ -117,11 +110,14 @@ hide:
|
||||
- Browse the plugins and select the one you like.
|
||||
- Click "Get" to import it directly into your OpenWebUI instance.
|
||||
|
||||
2. **Manual Installation**:
|
||||
- Browse the [Plugin Center](plugins/index.md) and download the plugin file (`.py`)
|
||||
- Open OpenWebUI **Admin Panel** → **Settings** → **Plugins**
|
||||
- Click the upload button and select the `.py` file
|
||||
- Refresh the page and enable the plugin in your chat settings
|
||||
2. **Quick Install All Plugins**: To install all plugins to your local OpenWebUI instance at once, clone this repo and run `python scripts/install_all_plugins.py` after configuring your API key in `.env` — see [Deployment Guide](https://github.com/Fu-Jie/openwebui-extensions/blob/main/scripts/DEPLOYMENT_GUIDE.md) for details.
|
||||
|
||||
### Using Prompts
|
||||
|
||||
1. Browse the [Prompt Library](prompts/library.md) and select a prompt
|
||||
2. Click the **Copy** button to copy the prompt to your clipboard
|
||||
3. In OpenWebUI, click the "Prompt" button above the input box
|
||||
4. Paste the content and save
|
||||
|
||||
---
|
||||
|
||||
|
||||
@@ -103,13 +103,6 @@ hide:
|
||||
|
||||
## 快速入门
|
||||
|
||||
### 使用提示词
|
||||
|
||||
1. 浏览[提示词库](prompts/library.md)并选择一个提示词
|
||||
2. 点击**复制**按钮将提示词复制到剪贴板
|
||||
3. 在 OpenWebUI 中,点击输入框上方的"提示词"按钮
|
||||
4. 粘贴内容并保存
|
||||
|
||||
### 使用插件
|
||||
|
||||
1. **从 OpenWebUI 社区安装 (推荐)**:
|
||||
@@ -117,11 +110,14 @@ hide:
|
||||
- 浏览插件列表,选择你喜欢的插件。
|
||||
- 点击 "Get" 按钮,将其直接导入到你的 OpenWebUI 实例中。
|
||||
|
||||
2. **手动安装**:
|
||||
- 浏览[插件中心](plugins/index.md)并下载插件文件(`.py`)
|
||||
- 打开 OpenWebUI **管理面板** → **设置** → **插件**
|
||||
- 点击上传按钮并选择 `.py` 文件
|
||||
- 刷新页面并在聊天设置中启用插件
|
||||
2. **快速安装全部插件**:想要一次性安装此项目中的所有插件到本地 OpenWebUI 实例,克隆此仓库后运行 `python scripts/install_all_plugins.py`,并在 `.env` 中配置好 API 密钥,详见[部署指南](https://github.com/Fu-Jie/openwebui-extensions/blob/main/scripts/DEPLOYMENT_GUIDE.md)。
|
||||
|
||||
### 使用提示词
|
||||
|
||||
1. 浏览[提示词库](prompts/library.md)并选择一个提示词
|
||||
2. 点击**复制**按钮将提示词复制到剪贴板
|
||||
3. 在 OpenWebUI 中,点击输入框上方的"提示词"按钮
|
||||
4. 粘贴内容并保存
|
||||
|
||||
---
|
||||
|
||||
|
||||
@@ -1,16 +1,19 @@
|
||||
# Async Context Compression Filter
|
||||
|
||||
**Author:** [Fu-Jie](https://github.com/Fu-Jie/openwebui-extensions) | **Version:** 1.3.0 | **Project:** [OpenWebUI Extensions](https://github.com/Fu-Jie/openwebui-extensions) | **License:** MIT
|
||||
**Author:** [Fu-Jie](https://github.com/Fu-Jie/openwebui-extensions) | **Version:** 1.5.0 | **Project:** [OpenWebUI Extensions](https://github.com/Fu-Jie/openwebui-extensions) | **License:** MIT
|
||||
|
||||
This filter reduces token consumption in long conversations through intelligent summarization and message compression while keeping conversations coherent.
|
||||
|
||||
## What's new in 1.3.0
|
||||
## What's new in 1.5.0
|
||||
|
||||
- **Internationalization (i18n)**: Complete localization of user-facing messages across 9 languages (English, Chinese, Japanese, Korean, French, German, Spanish, Italian).
|
||||
- **Smart Status Display**: Added `token_usage_status_threshold` valve (default 80%) to intelligently control when token usage status is shown.
|
||||
- **Improved Performance**: Frontend language detection and logging are optimized to be completely non-blocking, maintaining lightning-fast TTFB.
|
||||
- **Copilot SDK Integration**: Automatically detects and skips compression for copilot_sdk based models to prevent conflicts.
|
||||
- **Configuration**: `debug_mode` is now set to `false` by default for a quieter production experience.
|
||||
- **External Chat Reference Summaries**: Added support for referenced chat context blocks that can reuse cached summaries, inject small referenced chats directly, or generate summaries for larger referenced chats before injection.
|
||||
- **Fast Multilingual Token Estimation**: Added a new mixed-script token estimation pipeline so inlet/outlet preflight checks can avoid unnecessary exact token counts while staying much closer to real usage.
|
||||
- **Stronger Working-Memory Prompt**: Refined the XML summary prompt to better preserve actionable context across general chat, coding tasks, and tool-heavy conversations.
|
||||
- **Clearer Frontend Debug Logs**: Reworked browser-console logging into grouped structural snapshots that are easier to scan during debugging.
|
||||
- **Safer Tool Trimming Defaults**: Enabled native tool-output trimming by default and exposed a dedicated `tool_trim_threshold_chars` valve with a 600-character default.
|
||||
- **Safer Referenced-Chat Fallbacks**: If generating a referenced chat summary fails, the new reference-summary path now falls back to direct contextual injection instead of failing the whole chat.
|
||||
- **Correct Summary Budgeting**: `summary_model_max_context` now controls summary-input fitting, while `max_summary_tokens` remains an output-length cap.
|
||||
- **More Visible Summary Failures**: Important background summary failures now surface in the browser console (`F12`) and as a status hint even when `show_debug_log` is off.
|
||||
|
||||
---
|
||||
|
||||
@@ -22,15 +25,85 @@ This filter reduces token consumption in long conversations through intelligent
|
||||
- ✅ Persistent storage via Open WebUI's shared database connection (PostgreSQL, SQLite, etc.).
|
||||
- ✅ Flexible retention policy to keep the first and last N messages.
|
||||
- ✅ Smart injection of historical summaries back into the context.
|
||||
- ✅ External chat reference summarization with cached-summary reuse, direct injection for small chats, and generated summaries for larger chats.
|
||||
- ✅ Structure-aware trimming that preserves document structure (headers, intro, conclusion).
|
||||
- ✅ Native tool output trimming for cleaner context when using function calling.
|
||||
- ✅ Real-time context usage monitoring with warning notifications (>90%).
|
||||
- ✅ Detailed token logging for precise debugging and optimization.
|
||||
- ✅ Fast multilingual token estimation plus exact token fallback for precise debugging and optimization.
|
||||
- ✅ **Smart Model Matching**: Automatically inherits configuration from base models for custom presets.
|
||||
- ⚠ **Multimodal Support**: Images are preserved but their tokens are **NOT** calculated. Please adjust thresholds accordingly.
|
||||
|
||||
---
|
||||
|
||||
## What This Fixes
|
||||
|
||||
- **Problem 1: A referenced chat could break the current request.**
|
||||
Before, if the filter needed to summarize a referenced chat and that LLM call failed, the current chat could fail with it. Now it degrades gracefully and injects direct context instead.
|
||||
- **Problem 2: Some referenced chats were being cut too aggressively.**
|
||||
Before, the output limit (`max_summary_tokens`) could be treated like the input window, which made large referenced chats shrink earlier than necessary. Now input fitting uses the summary model's real context window (`summary_model_max_context` or model/global fallback).
|
||||
- **Problem 3: Some background summary failures were too easy to miss.**
|
||||
Before, a failure during background summary preparation could disappear quietly when frontend debug logging was off. Now important failures are forced to the browser console and also shown through a user-facing status message.
|
||||
|
||||
---
|
||||
|
||||
## Workflow Overview
|
||||
|
||||
This filter operates in two phases:
|
||||
|
||||
1. `inlet`: injects stored summaries, processes external chat references, and trims context when required before the request is sent to the model.
|
||||
2. `outlet`: runs asynchronously after the response is complete, decides whether a new summary should be generated, and persists it when appropriate.
|
||||
|
||||
```mermaid
|
||||
flowchart TD
|
||||
A[Request enters inlet] --> B[Normalize tool IDs and optionally trim large tool outputs]
|
||||
B --> C{Referenced chats attached?}
|
||||
C -- No --> D[Load current chat summary if available]
|
||||
C -- Yes --> E[Inspect each referenced chat]
|
||||
|
||||
E --> F{Existing cached summary?}
|
||||
F -- Yes --> G[Reuse cached summary]
|
||||
F -- No --> H{Fits direct budget?}
|
||||
H -- Yes --> I[Inject full referenced chat text]
|
||||
H -- No --> J[Prepare referenced-chat summary input]
|
||||
|
||||
J --> K{Referenced-chat summary call succeeds?}
|
||||
K -- Yes --> L[Inject generated referenced summary]
|
||||
K -- No --> M[Fallback to direct contextual injection]
|
||||
|
||||
G --> D
|
||||
I --> D
|
||||
L --> D
|
||||
M --> D
|
||||
|
||||
D --> N[Build current-chat Head + Summary + Tail]
|
||||
N --> O{Over max_context_tokens?}
|
||||
O -- Yes --> P[Trim oldest atomic groups]
|
||||
O -- No --> Q[Send final context to the model]
|
||||
P --> Q
|
||||
|
||||
Q --> R[Model returns the reply]
|
||||
R --> S[Outlet rebuilds the full history]
|
||||
S --> T{Reached compression threshold?}
|
||||
T -- No --> U[Finish]
|
||||
T -- Yes --> V[Fit summary input to the summary model context]
|
||||
|
||||
V --> W{Background summary call succeeds?}
|
||||
W -- Yes --> X[Save new chat summary and update status]
|
||||
W -- No --> Y[Force browser-console error and show status hint]
|
||||
```
|
||||
|
||||
### Key Notes
|
||||
|
||||
- `inlet` only injects and trims context. It does not generate the main chat summary.
|
||||
- `outlet` performs summary generation asynchronously and does not block the current reply.
|
||||
- External chat references may come from an existing persisted summary, a small chat's full text, or a generated/truncated reference summary.
|
||||
- If a referenced-chat summary call fails, the filter falls back to direct context injection instead of failing the whole request.
|
||||
- `summary_model_max_context` controls summary-input fitting. `max_summary_tokens` only controls how long the generated summary may be.
|
||||
- Important background summary failures are surfaced to the browser console (`F12`) and the chat status area.
|
||||
- External reference messages are protected during trimming so they are not discarded first.
|
||||
|
||||
---
|
||||
|
||||
## Installation & Configuration
|
||||
|
||||
### 1) Database (automatic)
|
||||
@@ -54,11 +127,12 @@ This filter reduces token consumption in long conversations through intelligent
|
||||
| `keep_first` | `1` | Always keep the first N messages (protects system prompts). |
|
||||
| `keep_last` | `6` | Always keep the last N messages to preserve recent context. |
|
||||
| `summary_model` | `None` | Model for summaries. Strongly recommended to set a fast, economical model (e.g., `gemini-2.5-flash`, `deepseek-v3`). Falls back to the current chat model when empty. |
|
||||
| `summary_model_max_context` | `0` | Max context tokens for the summary model. If 0, falls back to `model_thresholds` or global `max_context_tokens`. |
|
||||
| `max_summary_tokens` | `16384` | Maximum tokens for the generated summary. |
|
||||
| `summary_temperature` | `0.3` | Randomness for summary generation. Lower is more deterministic. |
|
||||
| `summary_model_max_context` | `0` | Input context window used to fit summary requests. If `0`, falls back to `model_thresholds` or global `max_context_tokens`. |
|
||||
| `max_summary_tokens` | `16384` | Maximum output length for the generated summary. This is not the summary-input context limit. |
|
||||
| `summary_temperature` | `0.1` | Randomness for summary generation. Lower is more deterministic. |
|
||||
| `model_thresholds` | `{}` | Per-model overrides for `compression_threshold_tokens` and `max_context_tokens` (useful for mixed models). |
|
||||
| `enable_tool_output_trimming` | `false` | When enabled and `function_calling: "native"` is active, trims verbose tool outputs to extract only the final answer. |
|
||||
| `enable_tool_output_trimming` | `true` | When enabled for `function_calling: "native"`, trims oversized native tool outputs while keeping the tool-call chain intact. |
|
||||
| `tool_trim_threshold_chars` | `600` | Trim native tool output blocks once their total content length reaches this threshold. |
|
||||
| `debug_mode` | `false` | Log verbose debug info. Set to `false` in production. |
|
||||
| `show_debug_log` | `false` | Print debug logs to browser console (F12). Useful for frontend debugging. |
|
||||
| `show_token_usage_status` | `true` | Show token usage status notification in the chat interface. |
|
||||
@@ -74,8 +148,12 @@ If this plugin has been useful, a star on [OpenWebUI Extensions](https://github.
|
||||
|
||||
- **Initial system prompt is lost**: Keep `keep_first` greater than 0 to protect the initial message.
|
||||
- **Compression effect is weak**: Raise `compression_threshold_tokens` or lower `keep_first` / `keep_last` to allow more aggressive compression.
|
||||
- **A referenced chat summary fails**: The current request should continue with a direct-context fallback. Check the browser console (`F12`) if you need the upstream failure details.
|
||||
- **A background summary silently seems to do nothing**: Important failures now surface in chat status and the browser console (`F12`).
|
||||
- **Submit an Issue**: If you encounter any problems, please submit an issue on GitHub: [OpenWebUI Extensions Issues](https://github.com/Fu-Jie/openwebui-extensions/issues)
|
||||
|
||||
## Changelog
|
||||
|
||||
See [`v1.5.0` Release Notes](https://github.com/Fu-Jie/openwebui-extensions/blob/main/plugins/filters/async-context-compression/v1.5.0.md) for the release-specific summary.
|
||||
|
||||
See the full history on GitHub: [OpenWebUI Extensions](https://github.com/Fu-Jie/openwebui-extensions)
|
||||
|
||||
@@ -1,18 +1,21 @@
|
||||
# 异步上下文压缩过滤器
|
||||
|
||||
**作者:** [Fu-Jie](https://github.com/Fu-Jie/openwebui-extensions) | **版本:** 1.3.0 | **项目:** [OpenWebUI Extensions](https://github.com/Fu-Jie/openwebui-extensions) | **许可证:** MIT
|
||||
**作者:** [Fu-Jie](https://github.com/Fu-Jie/openwebui-extensions) | **版本:** 1.5.0 | **项目:** [OpenWebUI Extensions](https://github.com/Fu-Jie/openwebui-extensions) | **许可证:** MIT
|
||||
|
||||
> **重要提示**:为了确保所有过滤器的可维护性和易用性,每个过滤器都应附带清晰、完整的文档,以确保其功能、配置和使用方法得到充分说明。
|
||||
|
||||
本过滤器通过智能摘要和消息压缩技术,在保持对话连贯性的同时,显著降低长对话的 Token 消耗。
|
||||
|
||||
## 1.3.0 版本更新
|
||||
## 1.5.0 版本更新
|
||||
|
||||
- **国际化 (i18n) 支持**: 完成了所有用户可见消息的本地化,现已原生支持 9 种语言(含中、英、日、韩及欧洲主要语言)。
|
||||
- **智能状态显示**: 新增 `token_usage_status_threshold` 阀门(默认 80%),可以智能控制何时显示 Token 用量状态,减少不必要的打扰。
|
||||
- **性能大幅优化**: 对前端语言检测和日志处理流程进行了非阻塞重构,完全不影响首字节响应时间(TTFB),保持毫秒级极速推流。
|
||||
- **Copilot SDK 兼容**: 自动检测并跳过基于 `copilot_sdk` 模型的上下文压缩,避免冲突。
|
||||
- **配置项调整**: 为了提供更安静的生产环境体验,`debug_mode` 现已默认设置为 `false`。
|
||||
- **外部聊天引用摘要**: 新增对引用聊天上下文的摘要支持。现在可以复用缓存摘要、直接注入较小引用聊天,或先为较大的引用聊天生成摘要再注入。
|
||||
- **快速多语言 Token 预估**: 新增混合脚本 Token 预估链路,使 inlet / outlet 的预检可以减少不必要的精确计数,同时比旧的粗略字符比值更接近真实用量。
|
||||
- **更稳健的工作记忆提示词**: 重写 XML 摘要提示词,增强普通聊天、编码任务和连续工具调用场景下的关键信息保留能力。
|
||||
- **更清晰的前端调试日志**: 浏览器控制台日志改为分组化、结构化展示,排查上下文压缩行为更直观。
|
||||
- **更安全的工具裁剪默认值**: 原生工具输出裁剪默认开启,并新增 `tool_trim_threshold_chars` 配置项,默认阈值为 600 字符。
|
||||
- **更稳妥的引用聊天回退**: 当新的引用聊天摘要路径生成失败时,不再拖垮当前请求,而是自动回退为直接注入上下文。
|
||||
- **更准确的摘要预算**: `summary_model_max_context` 现在只负责摘要输入窗口,`max_summary_tokens` 继续只负责摘要输出长度。
|
||||
- **更容易发现摘要失败**: 重要的后台摘要失败现在会强制显示到浏览器控制台 (`F12`),并同步给出状态提示。
|
||||
|
||||
---
|
||||
|
||||
@@ -24,14 +27,84 @@
|
||||
- ✅ **持久化存储**: 复用 Open WebUI 共享数据库连接,自动支持 PostgreSQL/SQLite 等。
|
||||
- ✅ **灵活保留策略**: 可配置保留对话头部和尾部消息,确保关键信息连贯。
|
||||
- ✅ **智能注入**: 将历史摘要智能注入到新上下文中。
|
||||
- ✅ **外部聊天引用摘要**: 支持复用缓存摘要、小聊天直接注入,以及大聊天先摘要后注入。
|
||||
- ✅ **结构感知裁剪**: 智能折叠过长消息,保留文档骨架(标题、首尾)。
|
||||
- ✅ **原生工具输出裁剪**: 支持裁剪冗长的工具调用输出。
|
||||
- ✅ **实时监控**: 实时监控上下文使用情况,超过 90% 发出警告。
|
||||
- ✅ **详细日志**: 提供精确的 Token 统计日志,便于调试。
|
||||
- ✅ **快速预估 + 精确回退**: 提供更快的多语言 Token 预估,并在必要时回退到精确统计,便于调试。
|
||||
- ✅ **智能模型匹配**: 自定义模型自动继承基础模型的阈值配置。
|
||||
- ⚠ **多模态支持**: 图片内容会被保留,但其 Token **不参与计算**。请相应调整阈值。
|
||||
|
||||
详细的工作原理和流程请参考 [工作流程指南](https://github.com/Fu-Jie/openwebui-extensions/blob/main/plugins/filters/async-context-compression/WORKFLOW_GUIDE_CN.md)。
|
||||
详细的工作原理和更长说明仍可参考 [工作流程指南](https://github.com/Fu-Jie/openwebui-extensions/blob/main/plugins/filters/async-context-compression/WORKFLOW_GUIDE_CN.md)。
|
||||
|
||||
---
|
||||
|
||||
## 这次解决了什么问题(通俗版)
|
||||
|
||||
- **问题 1:引用别的聊天时,摘要失败可能把当前对话一起弄挂。**
|
||||
以前如果过滤器需要先帮被引用聊天做摘要,而这一步的 LLM 调用失败了,当前请求也可能直接失败。现在改成了“能摘要就摘要,失败就退回直接塞上下文”,当前对话不会被一起拖死。
|
||||
- **问题 2:有些被引用聊天被截得太早,信息丢得太多。**
|
||||
以前有一段逻辑把 `max_summary_tokens` 这种“输出长度限制”误当成了“输入上下文窗口”,结果大一点的引用聊天会被过早截断。现在改成按摘要模型真实的输入窗口来算,能保留更多有用内容。
|
||||
- **问题 3:后台摘要失败时,用户不容易知道发生了什么。**
|
||||
以前在 `show_debug_log=false` 时,有些后台失败只会留在内部日志里。现在关键失败会强制打到浏览器控制台,并在聊天状态里提醒去看 `F12`。
|
||||
|
||||
---
|
||||
|
||||
## 工作流总览
|
||||
|
||||
该过滤器分为两个阶段:
|
||||
|
||||
1. `inlet`:在请求发送给模型前执行,负责注入已有摘要、处理外部聊天引用、并在必要时裁剪上下文。
|
||||
2. `outlet`:在模型回复完成后异步执行,负责判断是否需要生成新摘要,并在合适时写入数据库。
|
||||
|
||||
```mermaid
|
||||
flowchart TD
|
||||
A[请求进入 inlet] --> B[规范化工具 ID 并按需裁剪超长工具输出]
|
||||
B --> C{是否附带引用聊天?}
|
||||
C -- 否 --> D[如果有当前聊天摘要就先加载]
|
||||
C -- 是 --> E[逐个检查被引用聊天]
|
||||
|
||||
E --> F{已有缓存摘要?}
|
||||
F -- 是 --> G[直接复用缓存摘要]
|
||||
F -- 否 --> H{能直接放进当前预算?}
|
||||
H -- 是 --> I[直接注入完整引用聊天文本]
|
||||
H -- 否 --> J[准备引用聊天的摘要输入]
|
||||
|
||||
J --> K{引用聊天摘要调用成功?}
|
||||
K -- 是 --> L[注入生成后的引用摘要]
|
||||
K -- 否 --> M[回退为直接注入上下文]
|
||||
|
||||
G --> D
|
||||
I --> D
|
||||
L --> D
|
||||
M --> D
|
||||
|
||||
D --> N[为当前聊天构造 Head + Summary + Tail]
|
||||
N --> O{是否超过 max_context_tokens?}
|
||||
O -- 是 --> P[从最旧 atomic groups 开始裁剪]
|
||||
O -- 否 --> Q[把最终上下文发给模型]
|
||||
P --> Q
|
||||
|
||||
Q --> R[模型返回当前回复]
|
||||
R --> S[Outlet 重建完整历史]
|
||||
S --> T{达到压缩阈值了吗?}
|
||||
T -- 否 --> U[结束]
|
||||
T -- 是 --> V[把摘要输入压到摘要模型可接受的上下文窗口]
|
||||
|
||||
V --> W{后台摘要调用成功?}
|
||||
W -- 是 --> X[保存新摘要并更新状态]
|
||||
W -- 否 --> Y[强制输出浏览器控制台错误并提示用户查看]
|
||||
```
|
||||
|
||||
### 关键说明
|
||||
|
||||
- `inlet` 只负责注入和裁剪上下文,不负责生成当前聊天的主摘要。
|
||||
- `outlet` 异步生成摘要,不会阻塞当前回复。
|
||||
- 外部聊天引用可以来自已有持久化摘要、小聊天的完整文本,或动态生成/截断后的引用摘要。
|
||||
- 如果引用聊天摘要失败,会自动回退为直接注入上下文,而不是让当前请求失败。
|
||||
- `summary_model_max_context` 控制摘要输入窗口;`max_summary_tokens` 只控制生成摘要的输出长度。
|
||||
- 重要的后台摘要失败会显示到浏览器控制台 (`F12`) 和聊天状态提示里。
|
||||
- 外部引用消息在裁剪阶段会被特殊保护,避免被最先删除。
|
||||
|
||||
---
|
||||
|
||||
@@ -67,8 +140,8 @@
|
||||
| 参数 | 默认值 | 描述 |
|
||||
| :-------------------- | :------ | :------------------------------------------------------------------------------------------------------------------------------------------ |
|
||||
| `summary_model` | `None` | 用于生成摘要的模型 ID。**强烈建议**配置快速、经济、上下文窗口大的模型(如 `gemini-2.5-flash`、`deepseek-v3`)。留空则尝试复用当前对话模型。 |
|
||||
| `summary_model_max_context` | `0` | 摘要模型的最大上下文 Token 数。如果为 0,则回退到 `model_thresholds` 或全局 `max_context_tokens`。 |
|
||||
| `max_summary_tokens` | `16384` | 生成摘要时允许的最大 Token 数。 |
|
||||
| `summary_model_max_context` | `0` | 摘要请求可使用的输入上下文窗口。如果为 0,则回退到 `model_thresholds` 或全局 `max_context_tokens`。 |
|
||||
| `max_summary_tokens` | `16384` | 生成摘要时允许的最大输出 Token 数。它不是摘要输入窗口上限。 |
|
||||
| `summary_temperature` | `0.1` | 控制摘要生成的随机性,较低的值结果更稳定。 |
|
||||
|
||||
### 高级配置
|
||||
@@ -96,7 +169,8 @@
|
||||
|
||||
| 参数 | 默认值 | 描述 |
|
||||
| :----------------------------- | :------- | :-------------------------------------------------------------------------------------------------------------------------------------- |
|
||||
| `enable_tool_output_trimming` | `false` | 启用时,若 `function_calling: "native"` 激活,将裁剪冗长的工具输出以仅提取最终答案。 |
|
||||
| `enable_tool_output_trimming` | `true` | 启用后(仅在 `function_calling: "native"` 下生效)会裁剪过大的本机工具输出,保留工具调用链结构并以简短占位替换冗长内容。 |
|
||||
| `tool_trim_threshold_chars` | `600` | 当本机工具输出累计字符数达到该值时触发裁剪,适用于包含长文本或表格的工具结果。 |
|
||||
| `debug_mode` | `false` | 是否在 Open WebUI 的控制台日志中打印详细的调试信息。生产环境默认且建议设为 `false`。 |
|
||||
| `show_debug_log` | `false` | 是否在浏览器控制台 (F12) 打印调试日志。便于前端调试。 |
|
||||
| `show_token_usage_status` | `true` | 是否在对话结束时显示 Token 使用情况的状态通知。 |
|
||||
@@ -112,8 +186,12 @@
|
||||
|
||||
- **初始系统提示丢失**:将 `keep_first` 设置为大于 0。
|
||||
- **压缩效果不明显**:提高 `compression_threshold_tokens`,或降低 `keep_first` / `keep_last` 以增强压缩力度。
|
||||
- **引用聊天摘要失败**:当前请求现在应该会继续执行,并回退为直接注入上下文。如果要看上游失败原因,请打开浏览器控制台 (`F12`)。
|
||||
- **后台摘要看起来“没反应”**:重要失败现在会同时出现在状态提示和浏览器控制台 (`F12`) 中。
|
||||
- **提交 Issue**: 如果遇到任何问题,请在 GitHub 上提交 Issue:[OpenWebUI Extensions Issues](https://github.com/Fu-Jie/openwebui-extensions/issues)
|
||||
|
||||
## 更新日志
|
||||
|
||||
请查看 [`v1.5.0` 版本发布说明](https://github.com/Fu-Jie/openwebui-extensions/blob/main/plugins/filters/async-context-compression/v1.5.0_CN.md) 获取本次版本的独立发布摘要。
|
||||
|
||||
完整历史请查看 GitHub 项目: [OpenWebUI Extensions](https://github.com/Fu-Jie/openwebui-extensions)
|
||||
|
||||
@@ -20,9 +20,9 @@ Filters act as middleware in the message pipeline:
|
||||
|
||||
---
|
||||
|
||||
Reduces token consumption in long conversations through intelligent summarization while maintaining coherence.
|
||||
Reduces token consumption in long conversations with safer summary fallbacks and clearer failure visibility.
|
||||
|
||||
**Version:** 1.3.0
|
||||
**Version:** 1.5.0
|
||||
|
||||
[:octicons-arrow-right-24: Documentation](async-context-compression.md)
|
||||
|
||||
@@ -52,7 +52,7 @@ Filters act as middleware in the message pipeline:
|
||||
|
||||
Fixes common Markdown formatting issues in LLM outputs, including Mermaid syntax, code blocks, and LaTeX formulas.
|
||||
|
||||
**Version:** 1.2.7
|
||||
**Version:** 1.2.8
|
||||
|
||||
[:octicons-arrow-right-24: Documentation](markdown_normalizer.md)
|
||||
|
||||
|
||||
@@ -20,11 +20,11 @@ Filter 充当消息管线中的中间件:
|
||||
|
||||
---
|
||||
|
||||
通过智能总结减少长对话的 token 消耗,同时保持连贯性。
|
||||
通过更稳健的摘要回退和更清晰的失败提示,降低长对话的 token 消耗并保持连贯性。
|
||||
|
||||
**版本:** 1.3.0
|
||||
**版本:** 1.5.0
|
||||
|
||||
[:octicons-arrow-right-24: 查看文档](async-context-compression.md)
|
||||
[:octicons-arrow-right-24: 查看文档](async-context-compression.zh.md)
|
||||
|
||||
- :material-text-box-plus:{ .lg .middle } **Context Enhancement**
|
||||
|
||||
@@ -52,7 +52,7 @@ Filter 充当消息管线中的中间件:
|
||||
|
||||
修复 LLM 输出中常见的 Markdown 格式问题,包括 Mermaid 语法、代码块和 LaTeX 公式。
|
||||
|
||||
**版本:** 1.2.7
|
||||
**版本:** 1.2.8
|
||||
|
||||
[:octicons-arrow-right-24: 查看文档](markdown_normalizer.zh.md)
|
||||
|
||||
|
||||
@@ -1,81 +1,90 @@
|
||||
# Markdown Normalizer Filter
|
||||
**Author:** [Fu-Jie](https://github.com/Fu-Jie/openwebui-extensions) | **Version:** 1.2.8 | **Project:** [OpenWebUI Extensions](https://github.com/Fu-Jie/openwebui-extensions) | **License:** MIT
|
||||
|
||||
**Author:** [Fu-Jie](https://github.com/Fu-Jie/openwebui-extensions) | **Version:** 1.2.7 | **Project:** [OpenWebUI Extensions](https://github.com/Fu-Jie/openwebui-extensions) | **License:** MIT
|
||||
A powerful, context-aware content normalizer filter for Open WebUI designed to fix common Markdown formatting issues in LLM outputs. It ensures that code blocks, LaTeX formulas, Mermaid diagrams, and other structural Markdown elements are rendered flawlessly, without destroying valid technical content.
|
||||
|
||||
A content normalizer filter for Open WebUI that fixes common Markdown formatting issues in LLM outputs. It ensures that code blocks, LaTeX formulas, Mermaid diagrams, and other Markdown elements are rendered correctly.
|
||||
> 🏆 **Featured by OpenWebUI Official** — This plugin was recommended in the official OpenWebUI Community Newsletter: [January 28, 2026](https://openwebui.com/blog/newsletter-january-28-2026)
|
||||
|
||||
> 🏆 **Featured by OpenWebUI Official** — Recommended in the official OpenWebUI Community Newsletter: [January 28, 2026](https://openwebui.com/blog/newsletter-january-28-2026)
|
||||
[English](https://github.com/Fu-Jie/openwebui-extensions/blob/main/plugins/filters/markdown_normalizer/README.md) | [简体中文](https://github.com/Fu-Jie/openwebui-extensions/blob/main/plugins/filters/markdown_normalizer/README_CN.md)
|
||||
|
||||
## 🔥 What's New in v1.2.7
|
||||
---
|
||||
|
||||
* **LaTeX Formula Protection**: Enhanced escape character cleaning to protect LaTeX commands like `\times`, `\nu`, and `\theta` from being corrupted.
|
||||
* **Expanded i18n Support**: Now supports 12 languages with automatic detection and fallback.
|
||||
* **Valves Optimization**: Optimized configuration descriptions to be English-only for better consistency.
|
||||
* **Bug Fixes**:
|
||||
* Resolved [Issue #49](https://github.com/Fu-Jie/openwebui-extensions/issues/49): Fixed a bug where consecutive bold parts on the same line caused spaces between them to be removed.
|
||||
* Fixed a `NameError` in the plugin code that caused test collection failures.
|
||||
## 🔥 What's New in v1.2.8
|
||||
* **Safe-by-Default Strategy**: The `enable_escape_fix` feature is now **disabled by default**. This prevents unwanted modifications to valid technical text like Windows file paths (`C:\new\test`) or complex LaTeX formulas.
|
||||
* **LaTeX Parsing Fix**: Improved the logic for identifying display math (`$$ ... $$`). Fixed a bug where LaTeX commands starting with `\n` (like `\nabla`) were incorrectly treated as newlines.
|
||||
* **Reliability Enhancement**: Complete error fallback mechanism. Guarantees 0% data loss during processing.
|
||||
* **Inline Code Protection**: Upgraded escaping logic to protect inline code blocks (`` `...` ``).
|
||||
* **Code Block Escaping Control**: The `enable_escape_fix_in_code_blocks` Valve now correctly targets broken newlines inside code blocks (perfect for fixing flat SQL queries) when enabled.
|
||||
* **Privacy Optimization**: `show_debug_log` now defaults to `False` to prevent console noise.
|
||||
|
||||
---
|
||||
|
||||
## 🚀 Why do you need this plugin? (What does it do?)
|
||||
|
||||
Language Models (LLMs) often generate malformed Markdown due to tokenization artifacts, aggressive escaping, or hallucinated formatting. If you've ever seen:
|
||||
- A `mermaid` diagram fail to render because of missing quotes around labels.
|
||||
- A SQL block stuck on a single line because `\n` was output literally instead of a real newline.
|
||||
- A `<details>` block break the entire chat rendering because of missing newlines.
|
||||
- A LaTeX formula fail because the LLM used `\[` instead of `$$`.
|
||||
|
||||
**This plugin automatically intercepts the LLM's raw output, analyzes its structure, and surgically repairs these formatting errors in real-time before they reach your browser.**
|
||||
|
||||
## ✨ Comprehensive Feature List
|
||||
|
||||
### 1. Advanced Structural Protections (Context-Aware)
|
||||
Before making any changes, the plugin builds a semantic map of the text to protect your technical content:
|
||||
- **Code Block Protection**: Skips formatting inside ` ``` ` code blocks by default to protect code logic.
|
||||
- **Inline Code Protection**: Recognizes `` `code` `` snippets and protects regular expressions and file paths (e.g., `C:\Windows`) from being incorrectly unescaped.
|
||||
- **LaTeX Protection**: Identifies inline (`$`) and block (`$$`) formulas to prevent modifying critical math commands like `\times`, `\theta`, or `\nu`.
|
||||
|
||||
### 2. Auto-Healing Transformations
|
||||
- **Details Tag Normalization**: `<details>` blocks (often used for Chain of Thought) require strict spacing to render correctly. The plugin automatically injects blank lines after `</details>` and self-closing `<details />` tags.
|
||||
- **Mermaid Syntax Fixer**: One of the most common LLM errors is omitting quotes in Mermaid diagrams (e.g., `A --> B(Some text)`). This plugin parses the Mermaid syntax and auto-quotes labels and citations to guarantee the graph renders.
|
||||
- **Emphasis Spacing Fix**: Fixes formatting-breaking extra spaces inside bold/italic markers (e.g., `** text **` becomes `**text**`) while cleverly ignoring math expressions like `2 * 3 * 4`.
|
||||
- **Intelligent Escape Character Cleanup**: Removes excessive literal `\n` and `\t` generated by some models and converts them to actual structural newlines (only in safe text areas).
|
||||
- **LaTeX Standardization**: Automatically upgrades old-school LaTeX delimiters (`\[...\]` and `\(...\)`) to modern Markdown standards (`$$...$$` and `$ ... $`).
|
||||
- **Thought Tag Unification**: Standardizes various model thought outputs (`<think>`, `<thinking>`) into a unified `<thought>` tag.
|
||||
- **Broken Code Block Repair**: Fixes indentation issues, repairs mangled language prefixes (e.g., ` ```python`), and automatically closes unclosed code blocks if a generation was cut off.
|
||||
- **List & Table Formatting**: Injects missing newlines to repair broken numbered lists and adds missing closing pipes (`|`) to tables.
|
||||
- **XML Artifact Cleanup**: Silently removes leftover `<antArtifact>` or `<antThinking>` tags often leaked by Claude models.
|
||||
|
||||
### 3. Reliability & Safety
|
||||
- **100% Rollback Guarantee**: If any normalization logic fails or crashes, the plugin catches the error and silently returns the exact original text, ensuring your chat never breaks.
|
||||
|
||||
## 🌐 Multilingual Support
|
||||
|
||||
Supports automatic interface and status switching for the following languages:
|
||||
The plugin UI and status notifications automatically switch based on your language:
|
||||
`English`, `简体中文`, `繁體中文 (香港)`, `繁體中文 (台灣)`, `한국어`, `日本語`, `Français`, `Deutsch`, `Español`, `Italiano`, `Tiếng Việt`, `Bahasa Indonesia`.
|
||||
|
||||
## ✨ Core Features
|
||||
|
||||
* **Details Tag Normalization**: Ensures proper spacing for `<details>` tags (used for thought chains). Adds a blank line after `</details>` and ensures a newline after self-closing `<details />` tags to prevent rendering issues.
|
||||
* **Emphasis Spacing Fix**: Fixes extra spaces inside emphasis markers (e.g., `** text **` -> `**text**`) which can cause rendering failures. Includes safeguards to protect math expressions (e.g., `2 * 3 * 4`) and list variables.
|
||||
* **Mermaid Syntax Fix**: Automatically fixes common Mermaid syntax errors, such as unquoted node labels (including multi-line labels and citations) and unclosed subgraphs. **New in v1.1.2**: Comprehensive protection for edge labels (text on connecting lines) across all link types (solid, dotted, thick).
|
||||
* **Frontend Console Debugging**: Supports printing structured debug logs directly to the browser console (F12) for easier troubleshooting.
|
||||
* **Code Block Formatting**: Fixes broken code block prefixes, suffixes, and indentation.
|
||||
* **LaTeX Normalization**: Standardizes LaTeX formula delimiters (`\[` -> `$$`, `\(` -> `$`).
|
||||
* **Thought Tag Normalization**: Unifies thought tags (`<think>`, `<thinking>` -> `<thought>`).
|
||||
* **Escape Character Fix**: Cleans up excessive escape characters (`\\n`, `\\t`).
|
||||
* **List Formatting**: Ensures proper newlines in list items.
|
||||
* **Heading Fix**: Adds missing spaces in headings (`#Heading` -> `# Heading`).
|
||||
* **Table Fix**: Adds missing closing pipes in tables.
|
||||
* **XML Cleanup**: Removes leftover XML artifacts.
|
||||
|
||||
## How to Use 🛠️
|
||||
|
||||
1. Install the plugin in Open WebUI.
|
||||
2. Enable the filter globally or for specific models.
|
||||
3. Configure the enabled fixes in the **Valves** settings.
|
||||
4. (Optional) **Show Debug Log** is enabled by default in Valves. This prints structured logs to the browser console (F12).
|
||||
> [!WARNING]
|
||||
> As this is an initial version, some "negative fixes" might occur (e.g., breaking valid Markdown). If you encounter issues, please check the console logs, copy the "Original" vs "Normalized" content, and submit an issue.
|
||||
2. Enable the filter globally or assign it to specific models (highly recommended for models with poor formatting).
|
||||
3. Tune the specific fixes you want via the **Valves** settings.
|
||||
|
||||
## Configuration (Valves) ⚙️
|
||||
|
||||
| Parameter | Default | Description |
|
||||
| :--- | :--- | :--- |
|
||||
| `priority` | `50` | Filter priority. Higher runs later (recommended after other filters). |
|
||||
| `enable_escape_fix` | `True` | Fix excessive escape characters (`\n`, `\t`, etc.). |
|
||||
| `enable_escape_fix_in_code_blocks` | `False` | Apply escape fix inside code blocks (may affect valid code). |
|
||||
| `enable_thought_tag_fix` | `True` | Normalize thought tags (`</thought>`). |
|
||||
| `enable_details_tag_fix` | `True` | Normalize `<details>` tags and add safe spacing. |
|
||||
| `enable_code_block_fix` | `True` | Fix code block formatting (indentation/newlines). |
|
||||
| `enable_latex_fix` | `True` | Normalize LaTeX delimiters (`\[` -> `$$`, `\(` -> `$`). |
|
||||
| `priority` | `50` | Filter priority. Higher runs later (recommended to run this after all other content filters). |
|
||||
| `enable_escape_fix` | `False` | Convert excessive literal escape characters (`\n`, `\t`) to real spacing. (Default: False for safety). |
|
||||
| `enable_escape_fix_in_code_blocks` | `False` | **Pro-tip**: Turn this ON if your SQL/HTML code blocks are constantly printing on a single line. Turn OFF for Python/C++. |
|
||||
| `enable_thought_tag_fix` | `True` | Normalize `<think>` tags. |
|
||||
| `enable_details_tag_fix` | `True` | Normalize `<details>` spacing. |
|
||||
| `enable_code_block_fix` | `True` | Fix code block indentation and newlines. |
|
||||
| `enable_latex_fix` | `True` | Standardize LaTeX delimiters (`\[` -> `$$`). |
|
||||
| `enable_list_fix` | `False` | Fix list item newlines (experimental). |
|
||||
| `enable_unclosed_block_fix` | `True` | Auto-close unclosed code blocks. |
|
||||
| `enable_fullwidth_symbol_fix` | `False` | Fix full-width symbols in code blocks. |
|
||||
| `enable_mermaid_fix` | `True` | Fix common Mermaid syntax errors. |
|
||||
| `enable_heading_fix` | `True` | Fix missing space in headings. |
|
||||
| `enable_table_fix` | `True` | Fix missing closing pipe in tables. |
|
||||
| `enable_xml_tag_cleanup` | `True` | Cleanup leftover XML tags. |
|
||||
| `enable_emphasis_spacing_fix` | `False` | Fix extra spaces in emphasis. |
|
||||
| `show_status` | `True` | Show status notification when fixes are applied. |
|
||||
| `show_debug_log` | `True` | Print debug logs to browser console (F12). |
|
||||
| `enable_mermaid_fix` | `True` | Fix common Mermaid syntax errors (auto-quoting). |
|
||||
| `enable_heading_fix` | `True` | Add missing space after heading hashes (`#Title` -> `# Title`). |
|
||||
| `enable_table_fix` | `True` | Add missing closing pipe in tables. |
|
||||
| `enable_xml_tag_cleanup` | `True` | Remove leftover XML artifacts. |
|
||||
| `enable_emphasis_spacing_fix` | `False` | Fix extra spaces in emphasis formatting. |
|
||||
| `show_status` | `True` | Show UI status notification when a fix is actively applied. |
|
||||
| `show_debug_log` | `False` | Print detailed before/after diffs to browser console (F12). |
|
||||
|
||||
## ⭐ Support
|
||||
|
||||
If this plugin has been useful, a star on [OpenWebUI Extensions](https://github.com/Fu-Jie/openwebui-extensions) is a big motivation for me. Thank you for the support.
|
||||
If this plugin saves your day, a star on [OpenWebUI Extensions](https://github.com/Fu-Jie/openwebui-extensions) is a big motivation for me. Thank you!
|
||||
|
||||
## 🧩 Others
|
||||
|
||||
### Troubleshooting ❓
|
||||
|
||||
* **Submit an Issue**: If you encounter any problems, please submit an issue on GitHub: [OpenWebUI Extensions Issues](https://github.com/Fu-Jie/openwebui-extensions/issues)
|
||||
|
||||
### Changelog
|
||||
|
||||
See the full history on GitHub: [OpenWebUI Extensions](https://github.com/Fu-Jie/openwebui-extensions)
|
||||
* **Troubleshooting**: Encountering "negative fixes"? Enable `show_debug_log`, check your console, and submit an issue on GitHub: [OpenWebUI Extensions Issues](https://github.com/Fu-Jie/openwebui-extensions/issues)
|
||||
|
||||
@@ -1,81 +1,89 @@
|
||||
# Markdown 格式化过滤器 (Markdown Normalizer)
|
||||
|
||||
**作者:** [Fu-Jie](https://github.com/Fu-Jie/openwebui-extensions) | **Version:** 1.2.7 | **项目:** [OpenWebUI Extensions](https://github.com/Fu-Jie/openwebui-extensions) | **许可证:** MIT
|
||||
**作者:** [Fu-Jie](https://github.com/Fu-Jie/openwebui-extensions) | **版本:** 1.2.8 | **项目:** [OpenWebUI Extensions](https://github.com/Fu-Jie/openwebui-extensions) | **许可证:** MIT
|
||||
|
||||
这是一个用于 Open WebUI 的内容格式化过滤器,旨在修复 LLM 输出中常见的 Markdown 格式问题。它能确保代码块、LaTeX 公式、Mermaid 图表和其他 Markdown 元素被正确渲染。
|
||||
这是一个强大的、具备上下文感知的 Markdown 内容规范化过滤器,专为 Open WebUI 设计,旨在实时修复大语言模型 (LLM) 输出中常见的格式错乱问题。它能确保代码块、LaTeX 公式、Mermaid 图表以及其他结构化元素被完美渲染,同时**绝不破坏**你原有的有效技术内容(如代码、正则、路径)。
|
||||
|
||||
> 🏆 **OpenWebUI 官方推荐** — 获得 OpenWebUI 社区 Newsletter 官方推荐:[2026 年 1 月 28 日](https://openwebui.com/blog/newsletter-january-28-2026)
|
||||
> 🏆 **OpenWebUI 官方推荐** — 本插件获得 OpenWebUI 社区 Newsletter 官方推荐:[2026 年 1 月 28 日](https://openwebui.com/blog/newsletter-january-28-2026)
|
||||
|
||||
## 🔥 最新更新 v1.2.7
|
||||
[English](https://github.com/Fu-Jie/openwebui-extensions/blob/main/plugins/filters/markdown_normalizer/README.md) | [简体中文](https://github.com/Fu-Jie/openwebui-extensions/blob/main/plugins/filters/markdown_normalizer/README_CN.md)
|
||||
|
||||
* **LaTeX 公式保护**: 增强了转义字符清理逻辑,自动保护 `$ $` 或 `$$ $$` 内的 LaTeX 命令(如 `\times`、`\nu`、`\theta`),防止渲染失效。
|
||||
* **扩展国际化 (i18n) 支持**: 现已支持 12 种语言,具备自动探测与回退机制。
|
||||
* **配置项优化**: 将 Valves 配置项的描述统一为英文,保持界面一致性。
|
||||
* **修复 Bug**:
|
||||
* 修复了 [Issue #49](https://github.com/Fu-Jie/openwebui-extensions/issues/49):解决了当同一行存在多个加粗部分时,由于正则匹配过于贪婪导致中间内容丢失空格的问题。
|
||||
* 修复了插件代码中的 `NameError` 错误,确保测试脚本能正常运行。
|
||||
---
|
||||
|
||||
## 🔥 最新更新 v1.2.8
|
||||
* **“默认安全”策略 (Safe-by-Default)**:`enable_escape_fix` 功能现在**默认禁用**。这能有效防止插件在未经授权的情况下误改 Windows 路径 (`C:\new\test`) 或复杂的 LaTeX 公式。
|
||||
* **LaTeX 解析优化**:重构了显示数学公式 (`$$ ... $$`) 的识别逻辑。修复了 LaTeX 命令如果以 `\n` 开头(如 `\nabla`)会被错误识别为换行符的 Bug。
|
||||
* **可靠性增强**:实现了完整的错误回滚机制。当修复过程发生意外错误时,保证 100% 返回原始文本,不丢失任何数据。
|
||||
* **配置项修复**:`enable_escape_fix_in_code_blocks` 配置项现在能正确作用于代码块了。**如果您遇到 SQL 挤在一行的问题,只需在设置中手动开启此项即可。**
|
||||
|
||||
---
|
||||
|
||||
## 🚀 为什么你需要这个插件?(它能解决什么问题?)
|
||||
|
||||
由于分词 (Tokenization) 伪影、过度转义或格式幻觉,LLM 经常会生成破损的 Markdown。如果你遇到过以下情况:
|
||||
- `mermaid` 图表因为节点标签缺少双引号而渲染失败、白屏。
|
||||
- LLM 输出的 SQL 语句挤在一行,因为本该换行的地方输出了字面量 `\n`。
|
||||
- 复杂的 `<details>` (思维链展开块) 因为缺少换行符导致整个聊天界面排版崩塌。
|
||||
- LaTeX 数学公式无法显示,因为模型使用了旧版的 `\[` 而不是 Markdown 支持的 `$$`。
|
||||
|
||||
**本插件会自动拦截 LLM 返回的原始数据,实时分析其文本结构,并像外科手术一样精准修复这些排版错误,然后再将其展示在你的浏览器中。**
|
||||
|
||||
## ✨ 核心功能与修复能力全景
|
||||
|
||||
### 1. 高级结构保护 (上下文感知)
|
||||
在执行任何修改前,插件会为整个文本建立语义地图,确保技术性内容不被误伤:
|
||||
- **代码块保护**:默认跳过 ` ``` ` 内部的内容,保护所有编程逻辑。
|
||||
- **行内代码保护**:识别 `` `代码` `` 片段,防止正则表达式(如 `[\n\r]`)或文件路径(如 `C:\Windows`)被错误地去转义。
|
||||
- **LaTeX 公式保护**:识别行内 (`$`) 和块级 (`$$`) 公式,防止诸如 `\times`, `\theta` 等核心数学命令被意外破坏。
|
||||
|
||||
### 2. 自动治愈转换 (Auto-Healing)
|
||||
- **Details 标签排版修复**:`<details>` 块要求极为严格的空行才能正确渲染内部内容。插件会自动在 `</details>` 以及自闭合 `<details />` 标签后注入安全的换行符。
|
||||
- **Mermaid 语法急救**:自动修复最常见的 Mermaid 错误——为未加引号的节点标签(如 `A --> B(Some text)`)自动补充双引号,甚至支持多行标签和引用,确保拓扑图 100% 渲染。
|
||||
- **强调语法间距修复**:修复加粗/斜体语法内部多余的空格(如 `** 文本 **` 变为 `**文本**`,否则 OpenWebUI 无法加粗),同时智能忽略数学算式(如 `2 * 3 * 4`)。
|
||||
- **智能转义字符清理**:将模型过度转义生成的字面量 `\n` 和 `\t` 转化为真正的换行和缩进(仅在安全的纯文本区域执行)。
|
||||
- **LaTeX 现代化转换**:自动将旧式的 LaTeX 定界符(`\[...\]` 和 `\(...\)`)升级为现代 Markdown 标准(`$$...$$` 和 `$ ... $`)。
|
||||
- **思维标签大一统**:无论模型输出的是 `<think>` 还是 `<thinking>`,统一标准化为 `<thought>` 标签。
|
||||
- **残缺代码块修复**:修复乱码的语言前缀(例如 ` ```python`),调整缩进,并在模型回答被截断时,自动补充闭合的 ` ``` `。
|
||||
- **列表与表格急救**:为粘连的编号列表注入换行,为残缺的 Markdown 表格补充末尾的闭合管道符(`|`)。
|
||||
- **XML 伪影消除**:静默移除 Claude 模型经常泄露的 `<antArtifact>` 或 `<antThinking>` 残留标签。
|
||||
|
||||
### 3. 绝对的可靠性与安全 (100% Rollback)
|
||||
- **无损回滚机制**:如果在修复过程中发生任何意外错误或崩溃,插件会立即捕获异常,并静默返回**绝对原始**的文本,确保你的对话永远不会因插件报错而丢失。
|
||||
|
||||
## 🌐 多语言支持 (i18n)
|
||||
|
||||
支持以下语言的界面与状态自动切换:
|
||||
界面的状态提示气泡会根据你的浏览器语言自动切换:
|
||||
`English`, `简体中文`, `繁體中文 (香港)`, `繁體中文 (台灣)`, `한국어`, `日本語`, `Français`, `Deutsch`, `Español`, `Italiano`, `Tiếng Việt`, `Bahasa Indonesia`
|
||||
|
||||
## ✨ 核心特性
|
||||
|
||||
* **Details 标签规范化**: 确保 `<details>` 标签(常用于思维链)有正确的间距。在 `</details>` 后添加空行,并在自闭合 `<details />` 标签后添加换行,防止渲染问题。
|
||||
* **强调空格修复**: 修复强调标记内部的多余空格(例如 `** 文本 **` -> `**文本**`),这会导致 Markdown 渲染失败。包含保护机制,防止误修改数学表达式(如 `2 * 3 * 4`)或列表变量。
|
||||
* **Mermaid 语法修复**: 自动修复常见的 Mermaid 语法错误,如未加引号的节点标签(支持多行标签和引用标记)和未闭合的子图 (Subgraph)。**v1.1.2 新增**: 全面保护各种类型的连线标签(实线、虚线、粗线),防止被误修改。
|
||||
* **前端控制台调试**: 支持将结构化的调试日志直接打印到浏览器控制台 (F12),方便排查问题。
|
||||
* **代码块格式化**: 修复破损的代码块前缀、后缀和缩进问题。
|
||||
* **LaTeX 规范化**: 标准化 LaTeX 公式定界符 (`\[` -> `$$`, `\(` -> `$`)。
|
||||
* **思维标签规范化**: 统一思维链标签 (`<think>`, `<thinking>` -> `<thought>`)。
|
||||
* **转义字符修复**: 清理过度的转义字符 (`\\n`, `\\t`)。
|
||||
* **列表格式化**: 确保列表项有正确的换行。
|
||||
* **标题修复**: 修复标题中缺失的空格 (`#标题` -> `# 标题`)。
|
||||
* **表格修复**: 修复表格中缺失的闭合管道符。
|
||||
* **XML 清理**: 移除残留的 XML 标签。
|
||||
|
||||
## 使用方法
|
||||
## 使用方法 🛠️
|
||||
|
||||
1. 在 Open WebUI 中安装此插件。
|
||||
2. 全局启用或为特定模型启用此过滤器。
|
||||
3. 在 **Valves** 设置中配置需要启用的修复项。
|
||||
4. (可选) **显示调试日志 (Show Debug Log)** 在 Valves 中默认开启。这会将结构化的日志打印到浏览器控制台 (F12)。
|
||||
> [!WARNING]
|
||||
> 由于这是初版,可能会出现“负向修复”的情况(例如破坏了原本正确的格式)。如果您遇到问题,请务目查看控制台日志,复制“原始 (Original)”与“规范化 (Normalized)”的内容对比,并提交 Issue 反馈。
|
||||
2. 全局启用或为特定模型启用此过滤器(强烈建议为格式输出不稳定的模型启用)。
|
||||
3. 在 **Valves (配置参数)** 设置中微调你需要的修复项。
|
||||
|
||||
## 配置参数 (Valves) ⚙️
|
||||
|
||||
| 参数 | 默认值 | 描述 |
|
||||
| :--- | :--- | :--- |
|
||||
| `priority` | `50` | 过滤器优先级。数值越大越靠后(建议在其他过滤器之后运行)。 |
|
||||
| `enable_escape_fix` | `True` | 修复过度的转义字符(`\n`, `\t` 等)。 |
|
||||
| `enable_escape_fix_in_code_blocks` | `False` | 在代码块内应用转义修复(可能影响有效代码)。 |
|
||||
| `enable_thought_tag_fix` | `True` | 规范化思维标签(`</thought>`)。 |
|
||||
| `enable_details_tag_fix` | `True` | 规范化 `<details>` 标签并添加安全间距。 |
|
||||
| `enable_code_block_fix` | `True` | 修复代码块格式(缩进/换行)。 |
|
||||
| `enable_latex_fix` | `True` | 规范化 LaTeX 定界符(`\[` -> `$$`, `\(` -> `$`)。 |
|
||||
| `priority` | `50` | 过滤器优先级。数值越大越靠后(建议放在其他内容过滤器之后运行)。 |
|
||||
| `enable_escape_fix` | `False` | 修复过度的转义字符(将字面量 `\n` 转换为实际换行)。**默认禁用以保证安全。** |
|
||||
| `enable_escape_fix_in_code_blocks` | `False` | **高阶技巧**:如果你的 SQL 或 HTML 代码块总是挤在一行,**请开启此项**。如果你经常写 Python/C++,建议保持关闭。 |
|
||||
| `enable_thought_tag_fix` | `True` | 规范化思维标签为 `<thought>`。 |
|
||||
| `enable_details_tag_fix` | `True` | 修复 `<details>` 标签的排版间距。 |
|
||||
| `enable_code_block_fix` | `True` | 修复代码块前缀、缩进和换行。 |
|
||||
| `enable_latex_fix` | `True` | 规范化 LaTeX 定界符(`\[` -> `$$`)。 |
|
||||
| `enable_list_fix` | `False` | 修复列表项换行(实验性)。 |
|
||||
| `enable_unclosed_block_fix` | `True` | 自动闭合未闭合的代码块。 |
|
||||
| `enable_fullwidth_symbol_fix` | `False` | 修复代码块中的全角符号。 |
|
||||
| `enable_mermaid_fix` | `True` | 修复常见 Mermaid 语法错误。 |
|
||||
| `enable_heading_fix` | `True` | 修复标题中缺失的空格。 |
|
||||
| `enable_unclosed_block_fix` | `True` | 自动闭合被截断的代码块。 |
|
||||
| `enable_mermaid_fix` | `True` | 修复常见 Mermaid 语法错误(如自动加引号)。 |
|
||||
| `enable_heading_fix` | `True` | 修复标题中缺失的空格 (`#Title` -> `# Title`)。 |
|
||||
| `enable_table_fix` | `True` | 修复表格中缺失的闭合管道符。 |
|
||||
| `enable_xml_tag_cleanup` | `True` | 清理残留的 XML 标签。 |
|
||||
| `enable_emphasis_spacing_fix` | `False` | 修复强调语法中的多余空格。 |
|
||||
| `show_status` | `True` | 应用修复时显示状态通知。 |
|
||||
| `show_debug_log` | `True` | 在浏览器控制台打印调试日志。 |
|
||||
| `enable_xml_tag_cleanup` | `True` | 清理残留的 XML 分析标签。 |
|
||||
| `enable_emphasis_spacing_fix` | `False` | 修复强调语法(加粗/斜体)内部的多余空格。 |
|
||||
| `show_status` | `True` | 当触发任何修复规则时,在页面底部显示提示气泡。 |
|
||||
| `show_debug_log` | `False` | 在浏览器控制台 (F12) 打印修改前后的详细对比日志。 |
|
||||
|
||||
## ⭐ 支持
|
||||
如果这个插件拯救了你的排版,欢迎到 [OpenWebUI Extensions](https://github.com/Fu-Jie/openwebui-extensions) 点个 Star,这是我持续改进的最大动力。感谢支持!
|
||||
|
||||
如果这个插件对你有帮助,欢迎到 [OpenWebUI Extensions](https://github.com/Fu-Jie/openwebui-extensions) 点个 Star,这将是我持续改进的动力,感谢支持。
|
||||
|
||||
## 其他
|
||||
|
||||
### 故障排除 (Troubleshooting) ❓
|
||||
|
||||
* **提交 Issue**: 如果遇到任何问题,请在 GitHub 上提交 Issue:[OpenWebUI Extensions Issues](https://github.com/Fu-Jie/openwebui-extensions/issues)
|
||||
|
||||
### 更新日志
|
||||
|
||||
完整历史请查看 GitHub 项目: [OpenWebUI Extensions](https://github.com/Fu-Jie/openwebui-extensions)
|
||||
## 🧩 其他
|
||||
* **故障排除**:遇到“负向修复”(即原本正常的排版被修坏了)?请开启 `show_debug_log`,在 F12 控制台复制出原始文本,并在 GitHub 提交 Issue:[提交 Issue](https://github.com/Fu-Jie/openwebui-extensions/issues)
|
||||
|
||||
@@ -4,5 +4,5 @@ OpenWebUI native Tool plugins that can be used across models.
|
||||
|
||||
## Available Tool Plugins
|
||||
|
||||
- [OpenWebUI Skills Manager Tool](openwebui-skills-manager-tool.md) (v0.2.1) - Simple native skill management (`list/show/install/create/update/delete`).
|
||||
- [OpenWebUI Skills Manager Tool](openwebui-skills-manager-tool.md) (v0.3.0) - Simple native skill management (`list/show/install/create/update/delete`).
|
||||
- [Smart Mind Map Tool](smart-mind-map-tool.md) (v1.0.0) - Intelligently analyzes text content and proactively generates interactive mind maps to help users structure and visualize knowledge.
|
||||
|
||||
@@ -4,5 +4,5 @@
|
||||
|
||||
## 可用 Tool 插件
|
||||
|
||||
- [OpenWebUI Skills 管理工具](openwebui-skills-manager-tool.zh.md) (v0.2.1) - 简化技能管理(`list/show/install/create/update/delete`)。
|
||||
- [OpenWebUI Skills 管理工具](openwebui-skills-manager-tool.zh.md) (v0.3.0) - 简化技能管理(`list/show/install/create/update/delete`)。
|
||||
- [智能思维导图工具 (Smart Mind Map Tool)](smart-mind-map-tool.zh.md) (v1.0.0) - 智能分析文本内容并主动生成交互式思维导图,帮助用户结构化与可视化知识。
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
# OpenWebUI Skills Manager Tool
|
||||
|
||||
**Author:** [Fu-Jie](https://github.com/Fu-Jie/openwebui-extensions) | **Version:** 0.2.1 | **Project:** [OpenWebUI Extensions](https://github.com/Fu-Jie/openwebui-extensions)
|
||||
**Author:** [Fu-Jie](https://github.com/Fu-Jie/openwebui-extensions) | **Version:** 0.3.0 | **Project:** [OpenWebUI Extensions](https://github.com/Fu-Jie/openwebui-extensions)
|
||||
|
||||
A standalone OpenWebUI Tool plugin for managing native Workspace Skills across models.
|
||||
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
# OpenWebUI Skills 管理工具
|
||||
|
||||
**Author:** [Fu-Jie](https://github.com/Fu-Jie/openwebui-extensions) | **Version:** 0.2.1 | **Project:** [OpenWebUI Extensions](https://github.com/Fu-Jie/openwebui-extensions)
|
||||
**Author:** [Fu-Jie](https://github.com/Fu-Jie/openwebui-extensions) | **Version:** 0.3.0 | **Project:** [OpenWebUI Extensions](https://github.com/Fu-Jie/openwebui-extensions)
|
||||
|
||||
一个可跨模型使用的 OpenWebUI 原生 Tool 插件,用于管理 Workspace Skills。
|
||||
|
||||
|
||||
@@ -128,11 +128,13 @@ We follow [Semantic Versioning](https://semver.org/):
|
||||
### release.yml
|
||||
|
||||
**Triggers:**
|
||||
|
||||
- ⭐ Push to `main` branch with `plugins/**/*.py` changes (auto-release)
|
||||
- Manual workflow dispatch
|
||||
- Push of version tags (`v*`)
|
||||
|
||||
**Actions:**
|
||||
|
||||
1. Detects version changes compared to last release
|
||||
2. Collects updated plugin files
|
||||
3. Generates release notes (with commit history)
|
||||
@@ -141,9 +143,11 @@ We follow [Semantic Versioning](https://semver.org/):
|
||||
### plugin-version-check.yml
|
||||
|
||||
**Trigger:**
|
||||
|
||||
- Pull requests that modify `plugins/**/*.py`
|
||||
|
||||
**Actions:**
|
||||
|
||||
1. Compares plugin versions between base and PR
|
||||
2. Checks if version was updated
|
||||
3. Checks if PR description is detailed enough
|
||||
@@ -187,6 +191,31 @@ python scripts/extract_plugin_versions.py --json --output versions.json
|
||||
|
||||
---
|
||||
|
||||
## Installing All Plugins to Your Instance
|
||||
|
||||
After a release, you can quickly install all plugins to your OpenWebUI instance:
|
||||
|
||||
```bash
|
||||
# Clone the repository
|
||||
git clone https://github.com/Fu-Jie/openwebui-extensions.git
|
||||
cd openwebui-extensions
|
||||
|
||||
# Configure API key and instance URL
|
||||
echo "api_key=sk-your-api-key-here" > scripts/.env
|
||||
echo "url=http://localhost:3000" >> scripts/.env
|
||||
|
||||
# For remote instances, set the appropriate baseURL:
|
||||
# echo "url=http://192.168.1.10:3000" >> scripts/.env
|
||||
# echo "url=https://openwebui.example.com" >> scripts/.env
|
||||
|
||||
# Install all plugins at once
|
||||
python scripts/install_all_plugins.py
|
||||
```
|
||||
|
||||
For detailed instructions, see [Deployment Guide](https://github.com/Fu-Jie/openwebui-extensions/blob/main/scripts/DEPLOYMENT_GUIDE.md).
|
||||
|
||||
---
|
||||
|
||||
## Author
|
||||
|
||||
Fu-Jie
|
||||
|
||||
@@ -128,11 +128,13 @@ git push origin v1.0.0
|
||||
### release.yml
|
||||
|
||||
**触发条件:**
|
||||
|
||||
- ⭐ 推送到 `main` 分支且修改了 `plugins/**/*.py`(自动发布)
|
||||
- 手动触发 (workflow_dispatch)
|
||||
- 推送版本标签 (`v*`)
|
||||
|
||||
**动作:**
|
||||
|
||||
1. 检测与上次 Release 的版本变化
|
||||
2. 收集更新的插件文件
|
||||
3. 生成发布说明(含提交记录)
|
||||
@@ -141,9 +143,11 @@ git push origin v1.0.0
|
||||
### plugin-version-check.yml
|
||||
|
||||
**触发条件:**
|
||||
|
||||
- 修改 `plugins/**/*.py` 的 Pull Request
|
||||
|
||||
**动作:**
|
||||
|
||||
1. 比较基础分支和 PR 的插件版本
|
||||
2. 检查是否有版本更新
|
||||
3. 检查 PR 描述是否足够详细
|
||||
@@ -185,6 +189,31 @@ python scripts/extract_plugin_versions.py --json --output versions.json
|
||||
|
||||
---
|
||||
|
||||
## 批量安装所有插件到你的实例
|
||||
|
||||
在发布之后,你可以快速将所有插件安装到 OpenWebUI 实例:
|
||||
|
||||
```bash
|
||||
# 克隆仓库
|
||||
git clone https://github.com/Fu-Jie/openwebui-extensions.git
|
||||
cd openwebui-extensions
|
||||
|
||||
# 配置 API 密钥和实例地址
|
||||
echo "api_key=sk-your-api-key-here" > scripts/.env
|
||||
echo "url=http://localhost:3000" >> scripts/.env
|
||||
|
||||
# 如果是远程实例,需要设置相应的 baseURL:
|
||||
# echo "url=http://192.168.1.10:3000" >> scripts/.env
|
||||
# echo "url=https://openwebui.example.com" >> scripts/.env
|
||||
|
||||
# 一次性安装所有插件
|
||||
python scripts/install_all_plugins.py
|
||||
```
|
||||
|
||||
详细说明请参考 [部署指南](https://github.com/Fu-Jie/openwebui-extensions/blob/main/scripts/DEPLOYMENT_GUIDE.md)。
|
||||
|
||||
---
|
||||
|
||||
## 作者
|
||||
|
||||
Fu-Jie
|
||||
|
||||
@@ -340,5 +340,45 @@
|
||||
"total_saves": 274,
|
||||
"followers": 220,
|
||||
"points": 271
|
||||
},
|
||||
{
|
||||
"date": "2026-03-12",
|
||||
"total_posts": 27,
|
||||
"total_downloads": 8765,
|
||||
"total_views": 92460,
|
||||
"total_upvotes": 300,
|
||||
"total_saves": 431,
|
||||
"followers": 344,
|
||||
"points": 351,
|
||||
"contributions": 66,
|
||||
"posts": {
|
||||
"turn_any_text_into_beautiful_mind_maps_3094c59a": 1730,
|
||||
"smart_infographic_ad6f0c7f": 1330,
|
||||
"markdown_normalizer_baaa8732": 807,
|
||||
"export_to_word_enhanced_formatting_fca6a315": 767,
|
||||
"async_context_compression_b1655bc8": 760,
|
||||
"ai_task_instruction_generator_9bab8b37": 666,
|
||||
"export_mulit_table_to_excel_244b8f9d": 604,
|
||||
"openwebui_skills_manager_tool_b4bce8e4": 434,
|
||||
"github_copilot_official_sdk_pipe_ce96f7b4": 399,
|
||||
"flash_card_65a2ea8f": 325,
|
||||
"deep_dive_c0b846e4": 224,
|
||||
"导出为_word_支持公式流程图表格和代码块_8a6306c0": 171,
|
||||
"folder_memory_auto_evolving_project_context_4a9875b2": 125,
|
||||
"smart_mind_map_tool_auto_generate_interactive_know_d25f4e3d": 100,
|
||||
"github_copilot_sdk_files_filter_403a62ee": 93,
|
||||
"智能信息图_e04a48ff": 71,
|
||||
"智能生成交互式思维导图帮助用户可视化知识_8d4b097b": 53,
|
||||
"异步上下文压缩_5c0617cb": 40,
|
||||
"闪记卡生成插件_4a31eac3": 34,
|
||||
"精读_99830b0f": 32,
|
||||
"an_unconventional_use_of_open_terminal_35498f8f": 0,
|
||||
"github_copilot_sdk_pipe_v090_copilot_sdk_skills_co_99a42452": 0,
|
||||
"github_copilot_sdk_pipe_v070_native_tool_ui_zero_c_4af38131": 0,
|
||||
"github_copilot_sdk_for_openwebui_elevate_your_ai_t_a140f293": 0,
|
||||
"open_webui_prompt_plus_ai_powered_prompt_manager_s_15fa060e": 0,
|
||||
"review_of_claude_haiku_45_41b0db39": 0,
|
||||
"debug_open_webui_plugins_in_your_browser_81bf7960": 0
|
||||
}
|
||||
}
|
||||
]
|
||||
@@ -1,51 +0,0 @@
|
||||
You are a helpful assistant.
|
||||
|
||||
[Session Context]
|
||||
- **Your Isolated Workspace**: `/app/backend/data/copilot_workspace/user_123/chat_456`
|
||||
- **Active User ID**: `user_123`
|
||||
- **Active Chat ID**: `chat_456`
|
||||
- **Skills Directory**: `/app/backend/data/skills/shared/` — contains user-installed skills.
|
||||
- **Config Directory**: `/app/backend/data/.copilot` — system configuration (Restricted).
|
||||
- **CLI Tools Path**: `/app/backend/data/.copilot_tools/` — Global tools installed via npm or pip will automatically go here and be in your $PATH. Python tools are strictly isolated in a venv here.
|
||||
**CRITICAL INSTRUCTION**: You MUST use the above workspace for ALL file operations.
|
||||
- DO NOT create files in `/tmp` or any other system directories.
|
||||
- Always interpret 'current directory' as your Isolated Workspace.
|
||||
|
||||
[Available Native System Tools]
|
||||
The host environment is rich. Based on the official OpenWebUI Docker deployment baseline (backend image), the following CLI tools are expected to be preinstalled and globally available in $PATH:
|
||||
- **Network/Data**: `curl`, `jq`, `netcat-openbsd`
|
||||
- **Media/Doc**: `pandoc` (format conversion), `ffmpeg` (audio/video)
|
||||
- **Build/System**: `git`, `gcc`, `make`, `build-essential`, `zstd`, `bash`
|
||||
- **Python/Runtime**: `python3`, `pip3`, `uv`
|
||||
- **Verification Rule**: Before installing any CLI/tool dependency, first check availability with `which <tool>` or a lightweight version probe (e.g. `<tool> --version`).
|
||||
- **Python Libs**: The active virtual environment inherits `--system-site-packages`. Advanced libraries like `pandas`, `numpy`, `pillow`, `opencv-python-headless`, `pypdf`, `langchain`, `playwright`, `httpx`, and `beautifulsoup4` are ALREADY installed. Try importing them before attempting to install.
|
||||
|
||||
|
||||
[Mode Context: Plan Mode]
|
||||
You are currently operating in **Plan Mode**.
|
||||
DEFINITION: Plan mode is a collaborative phase to outline multi-step plans or conduct research BEFORE any code is modified.
|
||||
|
||||
<workflow>
|
||||
1. Clarification: If requirements/goals are ambiguous, ask questions.
|
||||
2. Analysis: Analyze the codebase to understand constraints. You MAY use shell commands (e.g., `ls`, `grep`, `find`, `cat`) and other read-only tools.
|
||||
3. Formulation: Generate your structured plan OR research findings.
|
||||
4. Approval: Present the detailed plan directly to the user for approval via chat.
|
||||
</workflow>
|
||||
|
||||
<key_principles>
|
||||
- ZERO CODE MODIFICATION: You must NOT execute file edits, write operations, or destructive system changes. Your permissions are locked to READ/RESEARCH ONLY, with the sole exception of the progress-tracking file `plan.md`.
|
||||
- SHELL USAGE: Shell execution is ENABLED for research purposes. Any attempts to modify the filesystem via shell (e.g., `sed -i`, `rm`) will be strictly blocked, except for appending to `plan.md`.
|
||||
- PURE RESEARCH SUPPORT: If the user requests a pure research report, output your conclusions directly matching the plan style.
|
||||
- PERSISTENCE: You MUST save your proposed plan to `/app/backend/data/.copilot/session-state/chat_456/plan.md` to sync with the UI. The UI automatically reads this file to update the plan view.
|
||||
</key_principles>
|
||||
|
||||
<plan_format>
|
||||
When presenting your findings or plan in the chat, structure it clearly:
|
||||
## Plan / Report: {Title}
|
||||
**TL;DR**: {Summary}
|
||||
**Detailed Tasks / Steps**: {List step-by-step}
|
||||
**Affected Files**:
|
||||
- `path/to/file`
|
||||
**Constraint/Status**: {Any constraints}
|
||||
</plan_format>
|
||||
Acknowledge your role as a planner and format your next response using the plan style above.
|
||||
62
plugins/debug/async_context_compression/ISSUE_EXPLANATION.md
Normal file
62
plugins/debug/async_context_compression/ISSUE_EXPLANATION.md
Normal file
@@ -0,0 +1,62 @@
|
||||
# 异步上下文压缩插件:当前问题与处理状态总结
|
||||
|
||||
这份文档详细梳理了我们在处理 `async_context_compression`(异步上下文压缩插件)时,遭遇的“幽灵截断”问题的根本原因,以及我们目前的解决进度。
|
||||
|
||||
## 1. 根本原因:两种截然不同的“世界观”(数据序列化差异)
|
||||
|
||||
在我们之前的排查中,我曾错误地认为:`outlet`(后置处理阶段)拿到的 `body["messages"]` 是由于截断导致的残缺数据。
|
||||
但根据您提供的本地运行日志,**您是对的,`body['messages']` 确实包含了完整的对话历史**。
|
||||
|
||||
那么为什么长度会产生 `inlet 看到 27 条`,而 `outlet 只看到 8 条` 这种巨大的差异?
|
||||
|
||||
原因在于,OpenWebUI 的管道在进入大模型前和从大模型返回后,使用了**两种完全不同的消息格式**:
|
||||
|
||||
### 视图 A:Inlet 阶段(原生 API 展开视图)
|
||||
- **特点**:严格遵循 OpenAI 函数调用规范。
|
||||
- **状态**:每一次工具调用、工具返回,都被视为一条独立的 message。
|
||||
- **例子**:一个包含了复杂搜索的对话。
|
||||
- User: 帮我查一下天气(1条)
|
||||
- Assistant: 发起 tool_call(1条)
|
||||
- Tool: 返回 JSON 结果(1条)
|
||||
- ...多次往复...
|
||||
- **最终总计:27 条。**我们的压缩算法(trim)是基于这个 27 条的坐标系来计算保留多少条的。
|
||||
|
||||
### 视图 B:Outlet 阶段(UI HTML 折叠视图)
|
||||
- **特点**:专为前端渲染优化的紧凑视图。
|
||||
- **状态**:OpenWebUI 在调用完模型后,为了让前端显示出那个好看的、可折叠的工具调用卡片,强行把中间所有的 Tool 交互过程,用 `<details type="tool_calls">...</details>` 的 HTML 代码包裹起来,塞进了一个 `role: assistant` 的 `content` 字符串里!
|
||||
- **例子**:同样的对话。
|
||||
- User: 帮我查一下天气(1条)
|
||||
- Assistant: `<details>包含了好多次工具调用和结果的代码</details> 今天天气很好...`(1条)
|
||||
- **最终总计:8 条。**
|
||||
|
||||
**💥 灾难发生点:**
|
||||
原本的插件逻辑假定 `inlet` 和 `outlet` 共享同一个坐标系。
|
||||
1. 在 `inlet` 时,系统计算出:“我需要把前 10 条消息生成摘要,保留后 17 条”。
|
||||
2. 系统把“生成前10条摘要”的任务转入后台异步执行。
|
||||
3. 后台任务在 `outlet` 阶段被触发,此时它拿到的消息数组变成了**视图 B(总共只有 8 条)。**
|
||||
4. 算法试图在只有 8 条消息的数组里,把“前 10 条消息”砍掉并替换为 1 条摘要。
|
||||
5. **结果就是:数组索引越界/坐标彻底错乱,触发报错,并且可能将最新的有效消息当成旧消息删掉(过度压缩)。**
|
||||
|
||||
---
|
||||
|
||||
## 2. 目前已解决的问题 (✅ Done)
|
||||
|
||||
为了立刻制止这种因为“坐标系错位”导致的数据破坏,我们已经落实了热修复(Local v1.4.0):
|
||||
|
||||
**✅ 添加了“折叠视图”的探针防御:**
|
||||
- 我写了一个函数 `_is_compact_tool_details_view`。
|
||||
- 现在,当后台触发生成摘要时,系统会自动扫描 `outlet` 传来的 `messages`。只要发现里面包含 `<details type="tool_calls">` 这种带有 HTML 折叠标签的痕迹,就会**立刻终止并跳过**当前的摘要生成任务。
|
||||
- **收益**:彻底杜绝了因数组错位而引发的任务报错和强制裁切。UI 崩溃与历史丢失问题得到遏制。
|
||||
|
||||
---
|
||||
|
||||
## 3. 当前已解决的遗留问题 (✅ Done: 逆向展开修复)
|
||||
|
||||
之前因为跳过生成而引入的新限制:**包含工具调用的长轮次对话,无法自动生成“历史摘要”** 的问题,现已彻底解决。
|
||||
|
||||
### 最终实施的技术方案:
|
||||
我们通过源码分析发现,OpenWebUI 在进入 `inlet` 时会执行 `convert_output_to_messages` 还原工具调用链。因此,我们在插件的 `outlet` 阶段引入了相同的 **逆向展开 (Deflation/Unfolding)** 机制 `_unfold_messages`。
|
||||
|
||||
现在,当后台任务拿到 `outlet` 传来的折叠视图时,不会再选择“跳过”。而是自动提取出潜藏在消息对象体内部的原生 `output` 字段,并**将其重新展开为展开视图**(比如将 8 条假象重新还原为真实的 27 条底层数据),使得它的坐标系与 `inlet` 完全对齐。
|
||||
|
||||
至此,带有复杂工具调用的长轮次对话也能安全地进行背景自动压缩,不再有任何截断和强制删减的风险!
|
||||
@@ -0,0 +1,60 @@
|
||||
# 回复 dhaern — 针对最新审查的跟进
|
||||
|
||||
感谢您重新审查了最新版本并提出了持续精准的分析意见。以下针对您剩余的两个关切点逐一回应。
|
||||
|
||||
---
|
||||
|
||||
### 1. `enable_tool_output_trimming` — 不是功能退化,而是行为变化是有意为之
|
||||
|
||||
裁剪逻辑依然存在且可正常运行。以下是当前版本与之前版本的行为对比。
|
||||
|
||||
**当前行为(`_trim_native_tool_outputs`,第 835–945 行):**
|
||||
- 通过 `_get_atomic_groups` 遍历原子分组。
|
||||
- 识别有效的工具调用链:`assistant(tool_calls)` → `tool` → [可选的 assistant 跟进消息]。
|
||||
- 如果一条链内所有 `tool` 角色消息的字符数总和超过 **1,200 个字符**,则将 *tool 消息本身的内容* 折叠为一个本地化的 `[Content collapsed]` 占位符,并注入 `metadata.is_trimmed` 标志。
|
||||
- 同时遍历包含 `<details type="tool_calls">` HTML 块的 assistant 消息,对其中尺寸过大的 `result` 属性进行相同的折叠处理。
|
||||
- 当 `enable_tool_output_trimming=True` 且 `function_calling=native` 时,该函数在 inlet 阶段被调用。
|
||||
|
||||
**与旧版本的区别:**
|
||||
旧版的做法是改写 *assistant 跟进消息*,仅保留"最终答案"。新版的做法是折叠 *tool 响应内容本身*。两者都会缩减上下文体积,但新方法能够保留 tool 调用链的结构完整性(这是本次发布中原子分组工作的前提条件)。
|
||||
|
||||
插件头部的 docstring 里还有一段过时的描述("提取最终答案"),与实际行为相悖。最新提交中已将其更正为"将尺寸过大的原生工具输出折叠为简短占位符"。
|
||||
|
||||
如果您在寻找旧版本中"仅保留最终答案"的特定行为,该路径已被有意移除,因为它与本次发布引入的原子分组完整性保证相冲突。当前的折叠方案是安全的替代实现。
|
||||
|
||||
---
|
||||
|
||||
### 2. `compressed_message_count` — 修复是真实有效的;以下是坐标系追踪
|
||||
|
||||
您对"从已修改视图重新计算"的担忧,考虑到此前的架构背景,是完全可以理解的。以下精确说明为何当前代码不存在这一问题。
|
||||
|
||||
**`outlet` 中的关键变更:**
|
||||
```python
|
||||
db_messages = self._load_full_chat_messages(chat_id)
|
||||
messages_to_unfold = db_messages if (db_messages and len(db_messages) >= len(messages)) else messages
|
||||
summary_messages = self._unfold_messages(messages_to_unfold)
|
||||
target_compressed_count = self._calculate_target_compressed_count(summary_messages)
|
||||
```
|
||||
|
||||
`_load_full_chat_messages` 从 OpenWebUI 数据库中获取原始的持久化历史记录。由于在 inlet 渲染期间注入的合成 summary 消息**从未被回写到数据库**,从 DB 路径获取的 `summary_messages` 始终是干净的、未经修改的原始历史记录——没有 summary 标记,没有坐标膨胀。
|
||||
|
||||
在此干净列表上调用 `_calculate_target_compressed_count` 的计算逻辑如下(仍在原始历史坐标系内):
|
||||
```
|
||||
original_count = len(db_messages)
|
||||
raw_target = original_count - keep_last
|
||||
target = atomic_align(raw_target)
|
||||
```
|
||||
|
||||
这个 `target_compressed_count` 值原封不动地传递进 `_generate_summary_async`。在异步任务内部,同一批 `db_messages` 被切片为 `messages[start:target]` 来构建 `middle_messages`。生成完成后(可能从末尾进行原子截断),保存的值为:
|
||||
```python
|
||||
saved_compressed_count = start_index + len(middle_messages)
|
||||
```
|
||||
这是原始 DB 消息列表中新摘要实际涵盖到的确切位置——不是目标值,也不是来自不同视图的估算值。
|
||||
|
||||
**回退路径(DB 不可用时)** 使用 inlet 渲染后的 body 消息。此时 `_get_summary_view_state` 会读取注入的 summary 标记的 `covered_until` 字段(该字段在写入时已记录为原子对齐后的 `start_index`),因此 `base_progress` 已经处于原始历史坐标系内,计算可以自然延续,不会混用两种视图。
|
||||
|
||||
简而言之:该字段在整个调用链中现在具有唯一、一致的语义——即原始持久化消息列表中,当前摘要文本实际覆盖到的索引位置。
|
||||
|
||||
---
|
||||
|
||||
再次感谢您严格的审查。您在上次发布后标记的这两个问题已得到处理,文档中的过时描述也已更正。如果发现其他问题,欢迎继续反馈。
|
||||
@@ -0,0 +1,60 @@
|
||||
# Reply to dhaern - Follow-up on the Latest Review
|
||||
|
||||
Thank you for re-checking the latest version and for the continued precise analysis. Let me address your two remaining concerns directly.
|
||||
|
||||
---
|
||||
|
||||
### 1. `enable_tool_output_trimming` — Not a regression; behavior change is intentional
|
||||
|
||||
The trimming logic is present and functional. Here is what it does now versus before.
|
||||
|
||||
**Current behavior (`_trim_native_tool_outputs`, lines 835–945):**
|
||||
- Iterates over atomic groups via `_get_atomic_groups`.
|
||||
- Identifies valid chains: `assistant(tool_calls)` → `tool` → [optional assistant follow-up].
|
||||
- If the combined character count of the `tool` role messages in a chain exceeds **1,200 characters**, it collapses *the tool messages themselves* to a localized `[Content collapsed]` placeholder and injects a `metadata.is_trimmed` flag.
|
||||
- Separately walks assistant messages containing `<details type="tool_calls">` HTML blocks and collapses oversized `result` attributes in the same way.
|
||||
- The function is called at inlet when `enable_tool_output_trimming=True` and `function_calling=native`.
|
||||
|
||||
**What is different from the previous version:**
|
||||
The old approach rewrote the *assistant follow-up* message to keep only the "final answer". The new approach collapses the *tool response content* itself. Both reduce context size, but the new approach preserves the structural integrity of the tool-calling chain (which the atomic grouping work in this release depends on).
|
||||
|
||||
The docstring in the plugin header also contained a stale description ("extract only the final answer") that contradicted the actual behavior. That has been corrected in the latest commit to accurately say "collapses oversized native tool outputs to a short placeholder."
|
||||
|
||||
If you are looking for the specific "keep only the final answer" behavior from the old version, that path was intentionally removed because it conflicted with the atomic-group integrity guarantees introduced in this release. The current collapse approach is a safe replacement.
|
||||
|
||||
---
|
||||
|
||||
### 2. `compressed_message_count` — The fix is real; here is the coordinate trace
|
||||
|
||||
The concern about "recalculating from the already-modified view" is understandable given the previous architecture. Here is exactly why the current code does not have that problem.
|
||||
|
||||
**Key change in `outlet`:**
|
||||
```python
|
||||
db_messages = self._load_full_chat_messages(chat_id)
|
||||
messages_to_unfold = db_messages if (db_messages and len(db_messages) >= len(messages)) else messages
|
||||
summary_messages = self._unfold_messages(messages_to_unfold)
|
||||
target_compressed_count = self._calculate_target_compressed_count(summary_messages)
|
||||
```
|
||||
|
||||
`_load_full_chat_messages` fetches the raw persisted history from the OpenWebUI database. Because the synthetic summary message (injected during inlet rendering) is **never written back to the database**, `summary_messages` from the DB path is always the clean, unmodified original history — no summary marker, no coordinate inflation.
|
||||
|
||||
`_calculate_target_compressed_count` called on this clean list simply computes:
|
||||
```
|
||||
original_count = len(db_messages)
|
||||
raw_target = original_count - keep_last
|
||||
target = atomic_align(raw_target) # still in original-history coordinates
|
||||
```
|
||||
|
||||
This `target_compressed_count` value is then passed into `_generate_summary_async` unchanged. Inside the async task, the same `db_messages` list is sliced to `messages[start:target]` to build `middle_messages`. After generation (with potential atomic truncation from the end), the saved value is:
|
||||
```python
|
||||
saved_compressed_count = start_index + len(middle_messages)
|
||||
```
|
||||
This is the exact position in the original DB message list up to which the new summary actually covers — not a target, not an estimate from a different view.
|
||||
|
||||
**The fallback path (DB unavailable)** uses the inlet-rendered body messages. In that case `_get_summary_view_state` reads `covered_until` from the injected summary marker (which was written as the atomically-aligned `start_index`), so `base_progress` is already in original-history coordinates. The calculation naturally continues from there without mixing views.
|
||||
|
||||
In short: the field now has a single, consistent meaning throughout the entire call chain — the index (in the original, persisted message list) up to which the current summary text actually covers.
|
||||
|
||||
---
|
||||
|
||||
Thank you again for the rigorous review. The two points you flagged after the last release are now addressed, and the documentation stale description has been corrected. Please do let us know if you spot anything else.
|
||||
206
plugins/debug/byok-infinite-session-research/analysis.md
Normal file
206
plugins/debug/byok-infinite-session-research/analysis.md
Normal file
@@ -0,0 +1,206 @@
|
||||
# BYOK模式与Infinite Session(自动上下文压缩)兼容性研究
|
||||
|
||||
**日期**: 2026-03-08
|
||||
**研究范围**: Copilot SDK v0.1.30 + OpenWebUI Extensions Pipe v0.10.0
|
||||
|
||||
## 研究问题
|
||||
在BYOK (Bring Your Own Key) 模式下,是否应该支持自动上下文压缩(Infinite Sessions)?
|
||||
用户报告:BYOK模式本不应该触发压缩,但当模型名称与Copilot内置模型一致时,意外地支持了压缩。
|
||||
|
||||
---
|
||||
|
||||
## 核心发现
|
||||
|
||||
### 1. SDK层面(copilot-sdk/python/copilot/types.py)
|
||||
|
||||
**InfiniteSessionConfig 定义** (line 453-470):
|
||||
```python
|
||||
class InfiniteSessionConfig(TypedDict, total=False):
|
||||
"""
|
||||
Configuration for infinite sessions with automatic context compaction
|
||||
and workspace persistence.
|
||||
"""
|
||||
enabled: bool
|
||||
background_compaction_threshold: float # 0.0-1.0, default: 0.80
|
||||
buffer_exhaustion_threshold: float # 0.0-1.0, default: 0.95
|
||||
```
|
||||
|
||||
**SessionConfig结构** (line 475+):
|
||||
- `provider: ProviderConfig` - 用于BYOK配置
|
||||
- `infinite_sessions: InfiniteSessionConfig` - 上下文压缩配置
|
||||
- **关键**: 这两个配置是**完全独立的**,没有相互依赖关系
|
||||
|
||||
### 2. OpenWebUI Pipe层面(github_copilot_sdk.py)
|
||||
|
||||
**Infinite Session初始化** (line 5063-5069):
|
||||
```python
|
||||
infinite_session_config = None
|
||||
if self.valves.INFINITE_SESSION: # 默认值: True
|
||||
infinite_session_config = InfiniteSessionConfig(
|
||||
enabled=True,
|
||||
background_compaction_threshold=self.valves.COMPACTION_THRESHOLD,
|
||||
buffer_exhaustion_threshold=self.valves.BUFFER_THRESHOLD,
|
||||
)
|
||||
```
|
||||
|
||||
**关键问题**:
|
||||
- ✗ 没有任何条件检查 `is_byok_model`
|
||||
- ✗ 无论使用官方模型还是BYOK模型,都会应用相同的infinite session配置
|
||||
- ✓ 回对比,reasoning_effort被正确地在BYOK模式下禁用(line 6329-6331)
|
||||
|
||||
### 3. 模型识别逻辑(line 6199+)
|
||||
|
||||
```python
|
||||
if m_info and "source" in m_info:
|
||||
is_byok_model = m_info["source"] == "byok"
|
||||
else:
|
||||
is_byok_model = not has_multiplier and byok_active
|
||||
```
|
||||
|
||||
BYOK模型识别基于:
|
||||
1. 模型元数据中的 `source` 字段
|
||||
2. 或者根据是否有乘数标签 (如 "4x", "0.5x") 和globally active的BYOK配置
|
||||
|
||||
---
|
||||
|
||||
## 技术可行性分析
|
||||
|
||||
### ✅ Infinite Sessions在BYOK模式下是技术可行的:
|
||||
|
||||
1. **SDK支持**: Copilot SDK允许在任何provider (官方、BYOK、Azure等) 下使用infinite session配置
|
||||
2. **配置独立性**: provider和infinite_sessions配置在SessionConfig中是独立的字段
|
||||
3. **无文档限制**: SDK文档中没有说BYOK模式不支持infinite sessions
|
||||
4. **测试覆盖**: SDK虽然有单独的BYOK测试和infinite-sessions测试,但缺少组合测试
|
||||
|
||||
### ⚠️ 但存在以下设计问题:
|
||||
|
||||
#### 问题1: 意外的自动启用
|
||||
- BYOK模式通常用于**精确控制**自己的API使用
|
||||
- 自动压缩可能会导致**意外的额外请求**和API成本增加
|
||||
- 没有明确的警告或文档说明BYOK也会压缩
|
||||
|
||||
#### 问题2: 没有模式特定的配置
|
||||
```python
|
||||
# 当前实现 - 一刀切
|
||||
if self.valves.INFINITE_SESSION:
|
||||
# 同时应用于官方模型和BYOK模型
|
||||
|
||||
# 应该是 - 模式感知
|
||||
if self.valves.INFINITE_SESSION and not is_byok_model:
|
||||
# 仅对官方模型启用
|
||||
# 或者
|
||||
if self.valves.INFINITE_SESSION_BYOK and is_byok_model:
|
||||
# BYOK专用配置
|
||||
```
|
||||
|
||||
#### 问题3: 压缩质量不确定性
|
||||
- BYOK模型可能是自部署的或开源模型
|
||||
- 上下文压缩由Copilot CLI处理,质量取决于CLI版本
|
||||
- 没有标准化的压缩效果评估
|
||||
|
||||
---
|
||||
|
||||
## 用户报告现象的根本原因
|
||||
|
||||
用户说:"BYOK模式本不应该触发压缩,但碰巧用的模型名称与Copilot内置模型相同,结果意外触发了压缩"
|
||||
|
||||
**分析**:
|
||||
1. OpenWebUI Pipe中,infinite_session配置是**全局启用**的 (INFINITE_SESSION=True)
|
||||
2. 模型识别逻辑中,如果模型元数据丢失,会根据模型名称和BYOK活跃状态来推断
|
||||
3. 如果用户使用的BYOK模型名称恰好是 "gpt-4", "claude-3-5-sonnet" 等,可能被识别错误
|
||||
4. 或者用户根本没意识到infinite session在BYOK模式下也被启用了
|
||||
|
||||
---
|
||||
|
||||
## 建议方案
|
||||
|
||||
### 方案1: 保守方案(推荐)
|
||||
**禁用BYOK模式下的automatic compression**
|
||||
|
||||
```python
|
||||
infinite_session_config = None
|
||||
# 只对标准官方模型启用,不对BYOK启用
|
||||
if self.valves.INFINITE_SESSION and not is_byok_model:
|
||||
infinite_session_config = InfiniteSessionConfig(
|
||||
enabled=True,
|
||||
background_compaction_threshold=self.valves.COMPACTION_THRESHOLD,
|
||||
buffer_exhaustion_threshold=self.valves.BUFFER_THRESHOLD,
|
||||
)
|
||||
```
|
||||
|
||||
**优点**:
|
||||
- 尊重BYOK用户的成本控制意愿
|
||||
- 降低意外API使用风险
|
||||
- 与reasoning_effort的BYOK禁用保持一致
|
||||
|
||||
**缺点**: 限制了BYOK用户的功能
|
||||
|
||||
### 方案2: 灵活方案
|
||||
**添加独立的BYOK compression配置**
|
||||
|
||||
```python
|
||||
class Valves(BaseModel):
|
||||
INFINITE_SESSION: bool = Field(
|
||||
default=True,
|
||||
description="Enable Infinite Sessions for standard Copilot models"
|
||||
)
|
||||
INFINITE_SESSION_BYOK: bool = Field(
|
||||
default=False,
|
||||
description="Enable Infinite Sessions for BYOK models (advanced users only)"
|
||||
)
|
||||
|
||||
# 使用逻辑
|
||||
if (self.valves.INFINITE_SESSION and not is_byok_model) or \
|
||||
(self.valves.INFINITE_SESSION_BYOK and is_byok_model):
|
||||
infinite_session_config = InfiniteSessionConfig(...)
|
||||
```
|
||||
|
||||
**优点**:
|
||||
- 给BYOK用户完全控制
|
||||
- 保持向后兼容性
|
||||
- 允许高级用户启用
|
||||
|
||||
**缺点**: 增加配置复杂度
|
||||
|
||||
### 方案3: 警告+ 文档
|
||||
**保持当前实现,但添加文档说明**
|
||||
|
||||
- 在README中明确说明infinite session对所有provider类型都启用
|
||||
- 添加Valve描述提示: "Applies to both standard Copilot and BYOK models"
|
||||
- 在BYOK配置部分明确提到压缩成本
|
||||
|
||||
**优点**: 减少实现负担,给用户知情权
|
||||
|
||||
**缺点**: 对已经启用的用户无帮助
|
||||
|
||||
---
|
||||
|
||||
## 推荐实施
|
||||
|
||||
**优先级**: 高
|
||||
**建议实施方案**: **方案1 (保守方案)** 或 **方案2 (灵活方案)**
|
||||
|
||||
如果选择方案1: 修改line 5063处的条件判断
|
||||
如果选择方案2: 添加INFINITE_SESSION_BYOK配置 + 修改初始化逻辑
|
||||
|
||||
---
|
||||
|
||||
## 相关代码位置
|
||||
|
||||
| 文件 | 行号 | 说明 |
|
||||
|-----|------|------|
|
||||
| `github_copilot_sdk.py` | 364-366 | INFINITE_SESSION Valve定义 |
|
||||
| `github_copilot_sdk.py` | 5063-5069 | Infinite session初始化 |
|
||||
| `github_copilot_sdk.py` | 6199-6220 | is_byok_model判断逻辑 |
|
||||
| `github_copilot_sdk.py` | 6329-6331 | reasoning_effort BYOK处理(参考) |
|
||||
|
||||
---
|
||||
|
||||
## 结论
|
||||
|
||||
**BYOK模式与Infinite Sessions的兼容性**:
|
||||
- ✅ 技术上完全可行
|
||||
- ⚠️ 但存在设计意图不清的问题
|
||||
- ✗ 当前实现对BYOK用户可能不友好
|
||||
|
||||
**推荐**: 实施方案1或2之一,增加BYOK模式的控制粒度。
|
||||
@@ -0,0 +1,295 @@
|
||||
# Client传入和管理分析
|
||||
|
||||
## 当前的Client管理架构
|
||||
|
||||
```
|
||||
┌────────────────────────────────────────┐
|
||||
│ Pipe Instance (github_copilot_sdk.py) │
|
||||
│ │
|
||||
│ _shared_clients = { │
|
||||
│ "token_hash_1": CopilotClient(...), │ ← 基于GitHub Token缓存
|
||||
│ "token_hash_2": CopilotClient(...), │
|
||||
│ } │
|
||||
└────────────────────────────────────────┘
|
||||
│
|
||||
│ await _get_client(token)
|
||||
│
|
||||
▼
|
||||
┌────────────────────────────────────────┐
|
||||
│ CopilotClient Instance │
|
||||
│ │
|
||||
│ [仅需GitHub Token配置] │
|
||||
│ │
|
||||
│ config { │
|
||||
│ github_token: "ghp_...", │
|
||||
│ cli_path: "...", │
|
||||
│ config_dir: "...", │
|
||||
│ env: {...}, │
|
||||
│ cwd: "..." │
|
||||
│ } │
|
||||
└────────────────────────────────────────┘
|
||||
│
|
||||
│ create_session(session_config)
|
||||
│
|
||||
▼
|
||||
┌────────────────────────────────────────┐
|
||||
│ Session (per-session configuration) │
|
||||
│ │
|
||||
│ session_config { │
|
||||
│ model: "real_model_id", │
|
||||
│ provider: { │ ← ⭐ BYOK配置在这里
|
||||
│ type: "openai", │
|
||||
│ base_url: "https://api.openai...",
|
||||
│ api_key: "sk-...", │
|
||||
│ ... │
|
||||
│ }, │
|
||||
│ infinite_sessions: {...}, │
|
||||
│ system_message: {...}, │
|
||||
│ ... │
|
||||
│ } │
|
||||
└────────────────────────────────────────┘
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 目前的流程(代码实际位置)
|
||||
|
||||
### 步骤1:获取或创建Client(line 6208)
|
||||
```python
|
||||
# _pipe_impl中
|
||||
client = await self._get_client(token)
|
||||
```
|
||||
|
||||
### 步骤2:_get_client函数(line 5523-5561)
|
||||
```python
|
||||
async def _get_client(self, token: str) -> Any:
|
||||
"""Get or create the persistent CopilotClient from the pool based on token."""
|
||||
if not token:
|
||||
raise ValueError("GitHub Token is required to initialize CopilotClient")
|
||||
|
||||
token_hash = hashlib.md5(token.encode()).hexdigest()
|
||||
|
||||
# 查看是否已有缓存的client
|
||||
client = self.__class__._shared_clients.get(token_hash)
|
||||
if client and client状态正常:
|
||||
return client # ← 复用已有的client
|
||||
|
||||
# 否则创建新client
|
||||
client_config = self._build_client_config(user_id=None, chat_id=None)
|
||||
client_config["github_token"] = token
|
||||
new_client = CopilotClient(client_config)
|
||||
await new_client.start()
|
||||
self.__class__._shared_clients[token_hash] = new_client
|
||||
return new_client
|
||||
```
|
||||
|
||||
### 步骤3:创建会话时传入provider(line 6253-6270)
|
||||
```python
|
||||
# _pipe_impl中,BYOK部分
|
||||
if is_byok_model:
|
||||
provider_config = {
|
||||
"type": byok_type, # "openai" or "anthropic"
|
||||
"wire_api": byok_wire_api,
|
||||
"base_url": byok_base_url,
|
||||
"api_key": byok_api_key or None,
|
||||
"bearer_token": byok_bearer_token or None,
|
||||
}
|
||||
|
||||
# 然后传入session config
|
||||
session = await client.create_session(config={
|
||||
"model": real_model_id,
|
||||
"provider": provider_config, # ← provider在这里传给session
|
||||
...
|
||||
})
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 关键问题:架构的2个层级
|
||||
|
||||
| 层级 | 用途 | 配置内容 | 缓存方式 |
|
||||
|------|------|---------|---------|
|
||||
| **CopilotClient** | CLI和运行时底层逻辑 | GitHub Token, CLI path, 环境变量 | 基于token_hash全局缓存 |
|
||||
| **Session** | 具体的对话会话 | Model, Provider(BYOK), Tools, System Prompt | 不缓存(每次新建) |
|
||||
|
||||
---
|
||||
|
||||
## 当前的问题
|
||||
|
||||
### 问题1:Client是全局缓存的,但Provider是会话级别的
|
||||
```python
|
||||
# ❓ 如果用户想为不同的BYOK模型使用不同的Client呢?
|
||||
# 当前无法做到,因为Client基于token缓存是全局的
|
||||
|
||||
# 例子:
|
||||
# Client A: OpenAI API key (token_hash_1)
|
||||
# Client B: Anthropic API key (token_hash_2)
|
||||
|
||||
# 但在Pipe中,只有一个GH_TOKEN,导致只能有一个Client
|
||||
```
|
||||
|
||||
### 问题2:Provider和Client是不同的东西
|
||||
```python
|
||||
# CopilotClient = GitHub Copilot SDK客户端
|
||||
# ProviderConfig = OpenAI/Anthropic等的API配置
|
||||
|
||||
# 用户可能混淆:
|
||||
# "怎么传入BYOK的client和provider"
|
||||
# → 实际上只能传provider到session,client是全局的
|
||||
```
|
||||
|
||||
### 问题3:BYOK模型混用的情况处理不清楚
|
||||
```python
|
||||
# 如果用户想在同一个Pipe中:
|
||||
# - Model A 用 OpenAI API
|
||||
# - Model B 用 Anthropic API
|
||||
# - Model C 用自己的本地LLM
|
||||
|
||||
# 当前代码是基于全局BYOK配置的,无法为各模型单独设置
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 改进方案
|
||||
|
||||
### 方案A:保持当前架构,只改Provider映射
|
||||
|
||||
**思路**:Client保持全局(基于GH_TOKEN),但Provider配置基于模型动态选择
|
||||
|
||||
```python
|
||||
# 在Valves中添加
|
||||
class Valves(BaseModel):
|
||||
# ... 现有配置 ...
|
||||
|
||||
# 新增:模型到Provider的映射 (JSON)
|
||||
MODEL_PROVIDER_MAP: str = Field(
|
||||
default="{}",
|
||||
description='Map model IDs to BYOK providers (JSON). Example: '
|
||||
'{"gpt-4": {"type": "openai", "base_url": "...", "api_key": "..."}, '
|
||||
'"claude-3": {"type": "anthropic", "base_url": "...", "api_key": "..."}}'
|
||||
)
|
||||
|
||||
# 在_pipe_impl中
|
||||
def _get_provider_config(self, model_id: str, byok_active: bool) -> Optional[dict]:
|
||||
"""Get provider config for a specific model"""
|
||||
if not byok_active:
|
||||
return None
|
||||
|
||||
try:
|
||||
model_map = json.loads(self.valves.MODEL_PROVIDER_MAP or "{}")
|
||||
return model_map.get(model_id)
|
||||
except:
|
||||
return None
|
||||
|
||||
# 使用时
|
||||
provider_config = self._get_provider_config(real_model_id, byok_active) or {
|
||||
"type": byok_type,
|
||||
"base_url": byok_base_url,
|
||||
"api_key": byok_api_key,
|
||||
...
|
||||
}
|
||||
```
|
||||
|
||||
**优点**:最小改动,复用现有Client架构
|
||||
**缺点**:多个BYOK模型仍共享一个Client(只要GH_TOKEN相同)
|
||||
|
||||
---
|
||||
|
||||
### 方案B:为不同BYOK提供商创建不同的Client
|
||||
|
||||
**思路**:扩展_get_client,支持基于provider_type的多client缓存
|
||||
|
||||
```python
|
||||
async def _get_or_create_client(
|
||||
self,
|
||||
token: str,
|
||||
provider_type: str = "github" # "github", "openai", "anthropic"
|
||||
) -> Any:
|
||||
"""Get or create client based on token and provider type"""
|
||||
|
||||
if provider_type == "github" or not provider_type:
|
||||
# 现有逻辑
|
||||
token_hash = hashlib.md5(token.encode()).hexdigest()
|
||||
else:
|
||||
# 为BYOK提供商创建不同的client
|
||||
composite_key = f"{token}:{provider_type}"
|
||||
token_hash = hashlib.md5(composite_key.encode()).hexdigest()
|
||||
|
||||
# 从缓存获取或创建
|
||||
...
|
||||
```
|
||||
|
||||
**优点**:隔离不同BYOK提供商的Client
|
||||
**缺点**:更复杂,需要更多改动
|
||||
|
||||
---
|
||||
|
||||
## 建议的改进路线
|
||||
|
||||
**优先级1(高):方案A - 模型到Provider的映射**
|
||||
|
||||
添加Valves配置:
|
||||
```python
|
||||
MODEL_PROVIDER_MAP: str = Field(
|
||||
default="{}",
|
||||
description='Map specific models to their BYOK providers (JSON format)'
|
||||
)
|
||||
```
|
||||
|
||||
使用方式:
|
||||
```
|
||||
{
|
||||
"gpt-4": {
|
||||
"type": "openai",
|
||||
"base_url": "https://api.openai.com/v1",
|
||||
"api_key": "sk-..."
|
||||
},
|
||||
"claude-3": {
|
||||
"type": "anthropic",
|
||||
"base_url": "https://api.anthropic.com/v1",
|
||||
"api_key": "ant-..."
|
||||
},
|
||||
"llama-2": {
|
||||
"type": "openai", # 开源模型通常使用openai兼容API
|
||||
"base_url": "http://localhost:8000/v1",
|
||||
"api_key": "sk-local"
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
**优先级2(中):在_build_session_config中考虑provider_config**
|
||||
|
||||
修改infinite_session初始化,基于provider_config判断:
|
||||
```python
|
||||
def _build_session_config(..., provider_config=None):
|
||||
# 如果使用了BYOK provider,需要特殊处理infinite_session
|
||||
infinite_session_config = None
|
||||
if self.valves.INFINITE_SESSION and provider_config is None:
|
||||
# 仅官方Copilot模型启用compression
|
||||
infinite_session_config = InfiniteSessionConfig(...)
|
||||
```
|
||||
|
||||
**优先级3(低):方案B - 多client缓存(长期改进)**
|
||||
|
||||
如果需要完全隔离不同BYOK提供商的Client。
|
||||
|
||||
---
|
||||
|
||||
## 总结:如果你要传入BYOK client
|
||||
|
||||
**现状**:
|
||||
- CopilotClient是基于GH_TOKEN全局缓存的
|
||||
- Provider配置是在SessionConfig级别动态设置的
|
||||
- 一个Client可以创建多个Session,每个Session用不同的Provider
|
||||
|
||||
**改进后**:
|
||||
- 添加MODEL_PROVIDER_MAP配置
|
||||
- 对每个模型的请求,动态选择对应的Provider配置
|
||||
- 同一个Client可以为不同Provider服务不同的models
|
||||
|
||||
**你需要做的**:
|
||||
1. 在Valves中配置MODEL_PROVIDER_MAP
|
||||
2. 在模型选择时读取这个映射
|
||||
3. 创建session时用对应的provider_config
|
||||
|
||||
无需修改Client的创建逻辑!
|
||||
@@ -0,0 +1,324 @@
|
||||
# 数据流分析:SDK如何获知用户设计的数据
|
||||
|
||||
## 当前数据流(从OpenWebUI → Pipe → SDK)
|
||||
|
||||
```
|
||||
┌─────────────────────┐
|
||||
│ OpenWebUI UI │
|
||||
│ (用户选择模型) │
|
||||
└──────────┬──────────┘
|
||||
│
|
||||
├─ body.model = "gpt-4"
|
||||
├─ body.messages = [...]
|
||||
├─ __metadata__.base_model_id = ?
|
||||
├─ __metadata__.custom_fields = ?
|
||||
└─ __user__.settings = ?
|
||||
│
|
||||
┌──────────▼──────────┐
|
||||
│ Pipe (github- │
|
||||
│ copilot-sdk.py) │
|
||||
│ │
|
||||
│ 1. 提取model信息 │
|
||||
│ 2. 应用Valves配置 │
|
||||
│ 3. 建立SDK会话 │
|
||||
└──────────┬──────────┘
|
||||
│
|
||||
├─ SessionConfig {
|
||||
│ model: real_model_id
|
||||
│ provider: ProviderConfig (若BYOK)
|
||||
│ infinite_sessions: {...}
|
||||
│ system_message: {...}
|
||||
│ ...
|
||||
│ }
|
||||
│
|
||||
┌──────────▼──────────┐
|
||||
│ Copilot SDK │
|
||||
│ (create_session) │
|
||||
│ │
|
||||
│ 返回:ModelInfo { │
|
||||
│ capabilities { │
|
||||
│ limits { │
|
||||
│ max_context_ │
|
||||
│ window_tokens │
|
||||
│ } │
|
||||
│ } │
|
||||
│ } │
|
||||
└─────────────────────┘
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 关键问题:当前的3个瓶颈
|
||||
|
||||
### 瓶颈1:用户数据的输入点
|
||||
|
||||
**当前支持的输入方式:**
|
||||
|
||||
1. **Valves配置(全局 + 用户级)**
|
||||
```python
|
||||
# 全局设置(Admin)
|
||||
Valves.BYOK_BASE_URL = "https://api.openai.com/v1"
|
||||
Valves.BYOK_API_KEY = "sk-..."
|
||||
|
||||
# 用户级覆盖
|
||||
UserValves.BYOK_API_KEY = "sk-..." (用户自己的key)
|
||||
UserValves.BYOK_BASE_URL = "..."
|
||||
```
|
||||
|
||||
**问题**:无法为特定的BYOK模型设置上下文窗口大小
|
||||
|
||||
2. **__metadata__(来自OpenWebUI)**
|
||||
```python
|
||||
__metadata__ = {
|
||||
"base_model_id": "...",
|
||||
"custom_fields": {...}, # ← 可能包含额外信息
|
||||
"tool_ids": [...],
|
||||
}
|
||||
```
|
||||
|
||||
**问题**:不清楚OpenWebUI是否支持通过metadata传递模型的上下文窗口
|
||||
|
||||
3. **body(来自对话请求)**
|
||||
```python
|
||||
body = {
|
||||
"model": "gpt-4",
|
||||
"messages": [...],
|
||||
"temperature": 0.7,
|
||||
# ← 这里能否添加自定义字段?
|
||||
}
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
### 瓶颈2:模型信息的识别和存储
|
||||
|
||||
**当前代码** (line 5905+):
|
||||
```python
|
||||
# 解析用户选择的模型
|
||||
request_model = body.get("model", "") # e.g., "gpt-4"
|
||||
real_model_id = request_model
|
||||
|
||||
# 确定实际模型ID
|
||||
base_model_id = _container_get(__metadata__, "base_model_id", "")
|
||||
|
||||
if base_model_id:
|
||||
resolved_id = base_model_id # 使用元数据中的ID
|
||||
else:
|
||||
resolved_id = request_model # 使用用户选择的ID
|
||||
```
|
||||
|
||||
**问题**:
|
||||
- ❌ 没有维护一个"模型元数据缓存"
|
||||
- ❌ 对相同模型的重复请求,每次都需要重新识别
|
||||
- ❌ 不能为特定模型持久化上下文窗口大小
|
||||
|
||||
---
|
||||
|
||||
### 瓶颈3:SDK会话配置的构建
|
||||
|
||||
**当前实现** (line 5058-5100):
|
||||
```python
|
||||
def _build_session_config(
|
||||
self,
|
||||
real_model_id, # ← 模型ID
|
||||
system_prompt_content,
|
||||
is_streaming=True,
|
||||
is_admin=False,
|
||||
# ... 其他参数
|
||||
):
|
||||
# 无条件地创建infinite session
|
||||
if self.valves.INFINITE_SESSION:
|
||||
infinite_session_config = InfiniteSessionConfig(
|
||||
enabled=True,
|
||||
background_compaction_threshold=self.valves.COMPACTION_THRESHOLD, # 0.80
|
||||
buffer_exhaustion_threshold=self.valves.BUFFER_THRESHOLD, # 0.95
|
||||
)
|
||||
|
||||
# ❌ 这里没有查询该模型的实际上下文窗口大小
|
||||
# ❌ 无法根据模型的真实限制调整压缩阈值
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 解决方案:3个数据流改进步骤
|
||||
|
||||
### 步骤1:添加模型元数据配置(优先级:高)
|
||||
|
||||
在Valves中添加一个**模型元数据映射**:
|
||||
|
||||
```python
|
||||
class Valves(BaseModel):
|
||||
# ... 现有配置 ...
|
||||
|
||||
# 新增:模型上下文窗口映射 (JSON格式)
|
||||
MODEL_CONTEXT_WINDOWS: str = Field(
|
||||
default="{}", # JSON string
|
||||
description='Model context window mapping (JSON). Example: {"gpt-4": 8192, "gpt-4-turbo": 128000, "claude-3": 200000}'
|
||||
)
|
||||
|
||||
# 新增:BYOK模型特定设置 (JSON格式)
|
||||
BYOK_MODEL_CONFIG: str = Field(
|
||||
default="{}", # JSON string
|
||||
description='BYOK-specific model configuration (JSON). Example: {"gpt-4": {"context_window": 8192, "enable_compression": true}}'
|
||||
)
|
||||
```
|
||||
|
||||
**如何使用**:
|
||||
```python
|
||||
# Valves中设置
|
||||
MODEL_CONTEXT_WINDOWS = '{"gpt-4": 8192, "claude-3-5-sonnet": 200000}'
|
||||
|
||||
# Pipe中解析
|
||||
def _get_model_context_window(self, model_id: str) -> Optional[int]:
|
||||
"""从配置中获取模型的上下文窗口大小"""
|
||||
try:
|
||||
config = json.loads(self.valves.MODEL_CONTEXT_WINDOWS or "{}")
|
||||
return config.get(model_id)
|
||||
except:
|
||||
return None
|
||||
```
|
||||
|
||||
### 步骤2:建立模型信息缓存(优先级:中)
|
||||
|
||||
在Pipe中维护一个模型信息缓存:
|
||||
|
||||
```python
|
||||
class Pipe:
|
||||
def __init__(self):
|
||||
# ... 现有代码 ...
|
||||
self._model_info_cache = {} # model_id -> ModelInfo
|
||||
self._context_window_cache = {} # model_id -> context_window_tokens
|
||||
|
||||
def _cache_model_info(self, model_id: str, model_info: ModelInfo):
|
||||
"""缓存SDK返回的模型信息"""
|
||||
self._model_info_cache[model_id] = model_info
|
||||
if model_info.capabilities and model_info.capabilities.limits:
|
||||
self._context_window_cache[model_id] = (
|
||||
model_info.capabilities.limits.max_context_window_tokens
|
||||
)
|
||||
|
||||
def _get_context_window(self, model_id: str) -> Optional[int]:
|
||||
"""获取模型的上下文窗口大小(优先级:SDK > Valves配置 > 默认值)"""
|
||||
# 1. 优先从SDK缓存获取(最可靠)
|
||||
if model_id in self._context_window_cache:
|
||||
return self._context_window_cache[model_id]
|
||||
|
||||
# 2. 其次从Valves配置获取
|
||||
context_window = self._get_model_context_window(model_id)
|
||||
if context_window:
|
||||
return context_window
|
||||
|
||||
# 3. 默认值(未知)
|
||||
return None
|
||||
```
|
||||
|
||||
### 步骤3:使用真实的上下文窗口来优化压缩策略(优先级:中)
|
||||
|
||||
修改_build_session_config:
|
||||
|
||||
```python
|
||||
def _build_session_config(
|
||||
self,
|
||||
real_model_id,
|
||||
# ... 其他参数 ...
|
||||
**kwargs
|
||||
):
|
||||
# 获取模型的真实上下文窗口大小
|
||||
actual_context_window = self._get_context_window(real_model_id)
|
||||
|
||||
# 只对有明确上下文窗口的模型启用压缩
|
||||
infinite_session_config = None
|
||||
if self.valves.INFINITE_SESSION and actual_context_window:
|
||||
# 现在压缩阈值有了明确的含义
|
||||
infinite_session_config = InfiniteSessionConfig(
|
||||
enabled=True,
|
||||
# 80% of actual context window
|
||||
background_compaction_threshold=self.valves.COMPACTION_THRESHOLD,
|
||||
# 95% of actual context window
|
||||
buffer_exhaustion_threshold=self.valves.BUFFER_THRESHOLD,
|
||||
)
|
||||
|
||||
await self._emit_debug_log(
|
||||
f"Infinite Session: model_context={actual_context_window}tokens, "
|
||||
f"compaction_triggers_at={int(actual_context_window * self.valves.COMPACTION_THRESHOLD)}, "
|
||||
f"buffer_triggers_at={int(actual_context_window * self.valves.BUFFER_THRESHOLD)}",
|
||||
__event_call__,
|
||||
)
|
||||
elif self.valves.INFINITE_SESSION and not actual_context_window:
|
||||
logger.warning(
|
||||
f"Infinite Session: Unknown context window for {real_model_id}, "
|
||||
f"compression disabled. Set MODEL_CONTEXT_WINDOWS in Valves to enable."
|
||||
)
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 具体的配置示例
|
||||
|
||||
### 例子1:用户配置BYOK模型的上下文窗口
|
||||
|
||||
**Valves设置**:
|
||||
```
|
||||
MODEL_CONTEXT_WINDOWS = {
|
||||
"gpt-4": 8192,
|
||||
"gpt-4-turbo": 128000,
|
||||
"gpt-4o": 128000,
|
||||
"claude-3": 200000,
|
||||
"claude-3.5-sonnet": 200000,
|
||||
"llama-2-70b": 4096
|
||||
}
|
||||
```
|
||||
|
||||
**效果**:
|
||||
- Pipe会知道"gpt-4"的上下文是8192 tokens
|
||||
- 压缩会在 ~6553 tokens (80%) 时触发
|
||||
- 缓冲会在 ~7782 tokens (95%) 时阻塞
|
||||
|
||||
### 例子2:为特定BYOK模型启用/禁用压缩
|
||||
|
||||
**Valves设置**:
|
||||
```
|
||||
BYOK_MODEL_CONFIG = {
|
||||
"gpt-4": {
|
||||
"context_window": 8192,
|
||||
"enable_infinite_session": true,
|
||||
"compaction_threshold": 0.75
|
||||
},
|
||||
"llama-2-70b": {
|
||||
"context_window": 4096,
|
||||
"enable_infinite_session": false # 禁用压缩
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
**Pipe逻辑**:
|
||||
```python
|
||||
# 检查模型特定的压缩设置
|
||||
def _get_compression_enabled(self, model_id: str) -> bool:
|
||||
try:
|
||||
config = json.loads(self.valves.BYOK_MODEL_CONFIG or "{}")
|
||||
model_config = config.get(model_id, {})
|
||||
return model_config.get("enable_infinite_session", self.valves.INFINITE_SESSION)
|
||||
except:
|
||||
return self.valves.INFINITE_SESSION
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 总结:SDK如何获知用户设计的数据
|
||||
|
||||
| 来源 | 方式 | 更新 | 示例 |
|
||||
|------|------|------|------|
|
||||
| **Valves** | 全局配置 | Admin提前设置 | `MODEL_CONTEXT_WINDOWS` JSON |
|
||||
| **SDK** | SessionConfig返回 | 每次会话创建 | `model_info.capabilities.limits` |
|
||||
| **缓存** | Pipe本地存储 | 首次获取后缓存 | `_context_window_cache` |
|
||||
| **__metadata__** | OpenWebUI传递 | 每次请求随带 | `base_model_id`, custom fields |
|
||||
|
||||
**流程**:
|
||||
1. 用户在Valves中配置 `MODEL_CONTEXT_WINDOWS`
|
||||
2. Pipe在session创建时获取SDK返回的model_info
|
||||
3. Pipe缓存上下文窗口大小
|
||||
4. Pipe根据真实窗口大小调整infinite session的阈值
|
||||
5. SDK使用正确的压缩策略
|
||||
|
||||
这样,**SDK完全知道用户设计的数据**,而无需任何修改SDK本身。
|
||||
@@ -0,0 +1,163 @@
|
||||
# SDK中的上下文限制信息
|
||||
|
||||
## SDK类型定义
|
||||
|
||||
### 1. ModelLimits(copilot-sdk/python/copilot/types.py, line 761-789)
|
||||
|
||||
```python
|
||||
@dataclass
|
||||
class ModelLimits:
|
||||
"""Model limits"""
|
||||
|
||||
max_prompt_tokens: int | None = None # 最大提示符tokens
|
||||
max_context_window_tokens: int | None = None # 最大上下文窗口tokens
|
||||
vision: ModelVisionLimits | None = None # 视觉相关限制
|
||||
```
|
||||
|
||||
### 2. ModelCapabilities(line 817-843)
|
||||
|
||||
```python
|
||||
@dataclass
|
||||
class ModelCapabilities:
|
||||
"""Model capabilities and limits"""
|
||||
|
||||
supports: ModelSupports # 支持的功能(vision, reasoning_effort等)
|
||||
limits: ModelLimits # 上下文和token限制
|
||||
```
|
||||
|
||||
### 3. ModelInfo(line 889-949)
|
||||
|
||||
```python
|
||||
@dataclass
|
||||
class ModelInfo:
|
||||
"""Information about an available model"""
|
||||
|
||||
id: str
|
||||
name: str
|
||||
capabilities: ModelCapabilities # ← 包含limits信息
|
||||
policy: ModelPolicy | None = None
|
||||
billing: ModelBilling | None = None
|
||||
supported_reasoning_efforts: list[str] | None = None
|
||||
default_reasoning_effort: str | None = None
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 关键发现
|
||||
|
||||
### ✅ SDK提供的信息
|
||||
- `model.capabilities.limits.max_context_window_tokens` - 模型的上下文窗口大小
|
||||
- `model.capabilities.limits.max_prompt_tokens` - 最大提示符tokens
|
||||
|
||||
### ❌ OpenWebUI Pipe中的问题
|
||||
**目前Pipe完全没有使用这些信息!**
|
||||
|
||||
在 `github_copilot_sdk.py` 中搜索 `max_context_window`, `capabilities`, `limits` 等,结果为空。
|
||||
|
||||
---
|
||||
|
||||
## 这对BYOK意味着什么?
|
||||
|
||||
### 问题1: BYOK模型的上下文限制未知
|
||||
```python
|
||||
# BYOK模型的capabilities来自哪里?
|
||||
if is_byok_model:
|
||||
# ❓ BYOK模型没有能力信息返回吗?
|
||||
# ❓ 如何知道它的max_context_window_tokens?
|
||||
pass
|
||||
```
|
||||
|
||||
### 问题2: Infinite Session的阈值是硬编码的
|
||||
```python
|
||||
COMPACTION_THRESHOLD: float = Field(
|
||||
default=0.80, # 80%时触发后台压缩
|
||||
description="Background compaction threshold (0.0-1.0)"
|
||||
)
|
||||
BUFFER_THRESHOLD: float = Field(
|
||||
default=0.95, # 95%时阻塞直到压缩完成
|
||||
description="Buffer exhaustion threshold (0.0-1.0)"
|
||||
)
|
||||
|
||||
# 但是 0.80 和 0.95 是什么的百分比?
|
||||
# - 是模型的max_context_window_tokens吗?
|
||||
# - 还是固定的某个值?
|
||||
# - BYOK模型的上下文窗口可能完全不同!
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 改进方向
|
||||
|
||||
### 方案A: 利用SDK提供的模型限制信息
|
||||
```python
|
||||
# 在获取模型信息时,保存capabilities
|
||||
self._model_capabilities = model_info.capabilities
|
||||
|
||||
# 在初始化infinite session时,使用实际的上下文窗口
|
||||
if model_info.capabilities.limits.max_context_window_tokens:
|
||||
actual_context_window = model_info.capabilities.limits.max_context_window_tokens
|
||||
|
||||
# 动态调整压缩阈值而不是固定值
|
||||
compaction_threshold = self.valves.COMPACTION_THRESHOLD
|
||||
buffer_threshold = self.valves.BUFFER_THRESHOLD
|
||||
# 这些现在有了明确的含义:是模型实际上下文窗口大小的百分比
|
||||
```
|
||||
|
||||
### 方案B: BYOK模型的显式配置
|
||||
如果BYOK模型不提供capabilities信息,需要用户手动设置:
|
||||
|
||||
```python
|
||||
class Valves(BaseModel):
|
||||
# ... existing config ...
|
||||
|
||||
BYOK_CONTEXT_WINDOW: int = Field(
|
||||
default=0, # 0表示自动检测或禁用compression
|
||||
description="Manual context window size for BYOK models (tokens). 0=auto-detect or disabled"
|
||||
)
|
||||
|
||||
BYOK_INFINITE_SESSION: bool = Field(
|
||||
default=False,
|
||||
description="Enable infinite sessions for BYOK models (requires BYOK_CONTEXT_WINDOW > 0)"
|
||||
)
|
||||
```
|
||||
|
||||
### 方案C: 从会话反馈中学习(最可靠)
|
||||
```python
|
||||
# infinite session压缩完成时,获取实际的context window使用情况
|
||||
# (需要SDK或CLI提供反馈)
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 建议实施路线
|
||||
|
||||
**优先级1(必须)**: 检查BYOK模式下是否能获取capabilities
|
||||
```python
|
||||
# 测试代码
|
||||
if is_byok_model:
|
||||
# 发送一个测试请求,看是否能从响应中获取model capabilities
|
||||
session = await client.create_session(config=session_config)
|
||||
# session是否包含model info?
|
||||
# 能否访问session.model_capabilities?
|
||||
```
|
||||
|
||||
**优先级2(重要)**: 如果BYOK没有capabilities,添加手动配置
|
||||
```python
|
||||
# 在BYOK配置中添加context_window字段
|
||||
BYOK_CONTEXT_WINDOW: int = Field(default=0)
|
||||
```
|
||||
|
||||
**优先级3(长期)**: 利用真实的上下文窗口来调整压缩策略
|
||||
```python
|
||||
# 而不是单纯的百分比,使用实际的token数
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 关键问题列表
|
||||
|
||||
1. [ ] BYOK模型在create_session后能否获取capabilities信息?
|
||||
2. [ ] 如果能获取,max_context_window_tokens的值是否准确?
|
||||
3. [ ] 如果不能获取,是否需要用户手动提供?
|
||||
4. [ ] 当前的0.80/0.95阈值是否对所有模型都适用?
|
||||
5. [ ] 不同的BYOK提供商(OpenAI vs Anthropic)的上下文窗口差异有多大?
|
||||
305
plugins/debug/openwebui-skills-manager/TEST_GUIDE.md
Normal file
305
plugins/debug/openwebui-skills-manager/TEST_GUIDE.md
Normal file
@@ -0,0 +1,305 @@
|
||||
# OpenWebUI Skills Manager 安全修复测试指南
|
||||
|
||||
## 快速开始
|
||||
|
||||
### 无需 OpenWebUI 依赖的独立测试
|
||||
|
||||
已创建完全独立的测试脚本,**不需要任何 OpenWebUI 依赖**,可以直接运行:
|
||||
|
||||
```bash
|
||||
python3 plugins/debug/openwebui-skills-manager/test_security_fixes.py
|
||||
```
|
||||
|
||||
### 测试输出示例
|
||||
|
||||
```
|
||||
🔒 OpenWebUI Skills Manager 安全修复测试
|
||||
版本: 0.2.2
|
||||
============================================================
|
||||
|
||||
✓ 所有测试通过!
|
||||
|
||||
修复验证:
|
||||
✓ SSRF 防护:阻止指向内部 IP 的请求
|
||||
✓ TAR/ZIP 安全提取:防止路径遍历攻击
|
||||
✓ 名称冲突检查:防止技能名称重复
|
||||
✓ URL 验证:仅接受安全的 HTTP(S) URL
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 五个测试用例详解
|
||||
|
||||
### 1. SSRF 防护测试
|
||||
|
||||
**文件**: `test_security_fixes.py` - `test_ssrf_protection()`
|
||||
|
||||
测试 `_is_safe_url()` 方法能否正确识别并拒绝危险的 URL:
|
||||
|
||||
<details>
|
||||
<summary>被拒绝的 URL (10 种)</summary>
|
||||
|
||||
```
|
||||
✗ http://localhost/skill
|
||||
✗ http://127.0.0.1:8000/skill # 127.0.0.1 环回地址
|
||||
✗ http://[::1]/skill # IPv6 环回
|
||||
✗ http://0.0.0.0/skill # 全零 IP
|
||||
✗ http://192.168.1.1/skill # RFC 1918 私有范围
|
||||
✗ http://10.0.0.1/skill # RFC 1918 私有范围
|
||||
✗ http://172.16.0.1/skill # RFC 1918 私有范围
|
||||
✗ http://169.254.1.1/skill # Link-local
|
||||
✗ file:///etc/passwd # file:// 协议
|
||||
✗ gopher://example.com/skill # 非 http(s)
|
||||
```
|
||||
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary>被接受的 URL (3 种)</summary>
|
||||
|
||||
```
|
||||
✓ https://github.com/Fu-Jie/openwebui-extensions/raw/main/SKILL.md
|
||||
✓ https://raw.githubusercontent.com/user/repo/main/skill.md
|
||||
✓ https://example.com/public/skill.zip
|
||||
```
|
||||
|
||||
</details>
|
||||
|
||||
**防护机制**:
|
||||
|
||||
- 检查 hostname 是否在 localhost 变体列表中
|
||||
- 使用 `ipaddress` 库检测私有、回环、链接本地和保留 IP
|
||||
- 仅允许 `http` 和 `https` 协议
|
||||
|
||||
---
|
||||
|
||||
### 2. TAR 提取安全性测试
|
||||
|
||||
**文件**: `test_security_fixes.py` - `test_tar_extraction_safety()`
|
||||
|
||||
测试 `_safe_extract_tar()` 方法能否防止**路径遍历攻击**:
|
||||
|
||||
**被测试的攻击**:
|
||||
|
||||
```
|
||||
TAR 文件包含: ../../etc/passwd
|
||||
↓
|
||||
提取时被拦截,日志输出:
|
||||
WARNING - Skipping unsafe TAR member: ../../etc/passwd
|
||||
↓
|
||||
结果: /etc/passwd 文件 NOT 创建 ✓
|
||||
```
|
||||
|
||||
**防护机制**:
|
||||
|
||||
```python
|
||||
# 验证解析后的路径是否在提取目录内
|
||||
member_path.resolve().relative_to(extract_dir.resolve())
|
||||
# 如果抛出 ValueError,说明有遍历尝试,跳过该成员
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
### 3. ZIP 提取安全性测试
|
||||
|
||||
**文件**: `test_security_fixes.py` - `test_zip_extraction_safety()`
|
||||
|
||||
与 TAR 测试相同,但针对 ZIP 文件的路径遍历防护:
|
||||
|
||||
```
|
||||
ZIP 文件包含: ../../etc/passwd
|
||||
↓
|
||||
提取时被拦截
|
||||
↓
|
||||
结果: /etc/passwd 文件 NOT 创建 ✓
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
### 4. 技能名称冲突检查测试
|
||||
|
||||
**文件**: `test_security_fixes.py` - `test_skill_name_collision()`
|
||||
|
||||
测试 `update_skill()` 方法中的名称碰撞检查:
|
||||
|
||||
```
|
||||
场景 1: 尝试将技能2改名为 "MySkill" (已被技能1占用)
|
||||
↓
|
||||
检查逻辑触发,检测到冲突
|
||||
返回错误: Another skill already has the name "MySkill" ✓
|
||||
|
||||
场景 2: 尝试将技能2改名为 "UniqueSkill" (不存在)
|
||||
↓
|
||||
检查通过,允许改名 ✓
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
### 5. URL 标准化测试
|
||||
|
||||
**文件**: `test_security_fixes.py` - `test_url_normalization()`
|
||||
|
||||
测试 URL 验证对各种无效格式的处理:
|
||||
|
||||
```
|
||||
被拒绝的无效 URL:
|
||||
✗ not-a-url # 不是有效 URL
|
||||
✗ ftp://example.com # 非 http/https 协议
|
||||
✗ "" # 空字符串
|
||||
✗ " " # 纯空白
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 如何修改和扩展测试
|
||||
|
||||
### 添加自己的测试用例
|
||||
|
||||
编辑 `plugins/debug/openwebui-skills-manager/test_security_fixes.py`:
|
||||
|
||||
```python
|
||||
def test_my_custom_case():
|
||||
"""我的自定义测试"""
|
||||
print("\n" + "="*60)
|
||||
print("测试 X: 我的自定义测试")
|
||||
print("="*60)
|
||||
|
||||
tester = SecurityTester()
|
||||
|
||||
# 你的测试代码
|
||||
assert condition, "错误消息"
|
||||
|
||||
print("\n✓ 自定义测试通过!")
|
||||
|
||||
# 在 main() 中添加
|
||||
def main():
|
||||
# ...
|
||||
test_my_custom_case() # 新增
|
||||
# ...
|
||||
```
|
||||
|
||||
### 测试特定的 URL
|
||||
|
||||
直接在 `unsafe_urls` 或 `safe_urls` 列表中添加:
|
||||
|
||||
```python
|
||||
unsafe_urls = [
|
||||
# 现有项
|
||||
"http://internal-server.local/api", # 新增: 本地局域网
|
||||
]
|
||||
|
||||
safe_urls = [
|
||||
# 现有项
|
||||
"https://api.github.com/repos/Fu-Jie/openwebui-extensions", # 新增
|
||||
]
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 与 OpenWebUI 集成测试
|
||||
|
||||
如果需要在完整的 OpenWebUI 环境中测试,可以:
|
||||
|
||||
### 1. 单元测试方式
|
||||
|
||||
创建 `tests/test_skills_manager.py`(需要 OpenWebUI 环境):
|
||||
|
||||
```python
|
||||
import pytest
|
||||
from plugins.tools.openwebui_skills_manager.openwebui_skills_manager import Tool
|
||||
|
||||
@pytest.fixture
|
||||
def skills_tool():
|
||||
return Tool()
|
||||
|
||||
def test_safe_url_in_tool(skills_tool):
|
||||
"""在实际工具对象中测试"""
|
||||
assert not skills_tool._is_safe_url("http://localhost/skill")
|
||||
assert skills_tool._is_safe_url("https://github.com/user/repo")
|
||||
```
|
||||
|
||||
运行方式:
|
||||
|
||||
```bash
|
||||
pytest tests/test_skills_manager.py -v
|
||||
```
|
||||
|
||||
### 2. 集成测试方式
|
||||
|
||||
在 OpenWebUI 中手动测试:
|
||||
|
||||
1. **安装插件**:
|
||||
|
||||
```
|
||||
OpenWebUI → Admin → Tools → 添加 openwebui-skills-manager 工具
|
||||
```
|
||||
|
||||
2. **测试 SSRF 防护**:
|
||||
|
||||
```
|
||||
调用: install_skill(url="http://localhost:8000/skill.md")
|
||||
预期: 返回错误 "Unsafe URL: points to internal or reserved destination"
|
||||
```
|
||||
|
||||
3. **测试名称冲突**:
|
||||
|
||||
```
|
||||
1. create_skill(name="MySkill", ...)
|
||||
2. create_skill(name="AnotherSkill", ...)
|
||||
3. update_skill(name="AnotherSkill", new_name="MySkill")
|
||||
预期: 返回错误 "Another skill already has the name..."
|
||||
```
|
||||
|
||||
4. **测试文件提取**:
|
||||
|
||||
```
|
||||
上传包含 ../../etc/passwd 的恶意 TAR/ZIP
|
||||
预期: 提取成功但恶意文件被跳过
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 故障排除
|
||||
|
||||
### 问题: `ModuleNotFoundError: No module named 'ipaddress'`
|
||||
|
||||
**解决**: `ipaddress` 是内置模块,无需安装。检查 Python 版本 >= 3.3
|
||||
|
||||
```bash
|
||||
python3 --version # 应该 >= 3.3
|
||||
```
|
||||
|
||||
### 问题: 测试卡住
|
||||
|
||||
**解决**: TAR/ZIP 提取涉及文件 I/O,可能在某些系统上较慢。检查磁盘空间:
|
||||
|
||||
```bash
|
||||
df -h # 检查是否有足够空间
|
||||
```
|
||||
|
||||
### 问题: 权限错误
|
||||
|
||||
**解决**: 确认脚本可执行:
|
||||
|
||||
```bash
|
||||
chmod +x plugins/debug/openwebui-skills-manager/test_security_fixes.py
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 修复验证清单
|
||||
|
||||
- [x] SSRF 防护 - 阻止内部 IP 请求
|
||||
- [x] TAR 提取安全 - 防止路径遍历
|
||||
- [x] ZIP 提取安全 - 防止路径遍历
|
||||
- [x] 名称冲突检查 - 防止重名技能
|
||||
- [x] 注释更正 - 移除误导性文档
|
||||
- [x] 版本更新 - 0.2.2
|
||||
|
||||
---
|
||||
|
||||
## 相关链接
|
||||
|
||||
- GitHub Issue: <https://github.com/Fu-Jie/openwebui-extensions/issues/58>
|
||||
- 修改文件: `plugins/tools/openwebui-skills-manager/openwebui_skills_manager.py`
|
||||
- 测试文件: `plugins/debug/openwebui-skills-manager/test_security_fixes.py`
|
||||
560
plugins/debug/openwebui-skills-manager/test_security_fixes.py
Normal file
560
plugins/debug/openwebui-skills-manager/test_security_fixes.py
Normal file
@@ -0,0 +1,560 @@
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
独立测试脚本:验证 OpenWebUI Skills Manager 的所有安全修复
|
||||
不需要 OpenWebUI 环境,可以直接运行
|
||||
|
||||
测试内容:
|
||||
1. SSRF 防护 (_is_safe_url)
|
||||
2. 不安全 tar/zip 提取防护 (_safe_extract_zip, _safe_extract_tar)
|
||||
3. 名称冲突检查 (update_skill)
|
||||
4. URL 验证
|
||||
"""
|
||||
|
||||
import asyncio
|
||||
import json
|
||||
import logging
|
||||
import sys
|
||||
import tempfile
|
||||
import tarfile
|
||||
import zipfile
|
||||
from pathlib import Path
|
||||
from typing import Optional, Dict, Any, List, Tuple
|
||||
|
||||
# 配置日志
|
||||
logging.basicConfig(
|
||||
level=logging.INFO, format="%(asctime)s - %(name)s - %(levelname)s - %(message)s"
|
||||
)
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
# ==================== 模拟 OpenWebUI Skills 类 ====================
|
||||
|
||||
|
||||
class MockSkill:
|
||||
def __init__(self, id: str, name: str, description: str = "", content: str = ""):
|
||||
self.id = id
|
||||
self.name = name
|
||||
self.description = description
|
||||
self.content = content
|
||||
self.is_active = True
|
||||
self.updated_at = "2024-03-08T00:00:00Z"
|
||||
|
||||
|
||||
class MockSkills:
|
||||
"""Mock Skills 模型,用于测试"""
|
||||
|
||||
_skills: Dict[str, List[MockSkill]] = {}
|
||||
|
||||
@classmethod
|
||||
def reset(cls):
|
||||
cls._skills = {}
|
||||
|
||||
@classmethod
|
||||
def get_skills_by_user_id(cls, user_id: str):
|
||||
return cls._skills.get(user_id, [])
|
||||
|
||||
@classmethod
|
||||
def insert_new_skill(cls, user_id: str, form_data):
|
||||
if user_id not in cls._skills:
|
||||
cls._skills[user_id] = []
|
||||
skill = MockSkill(
|
||||
form_data.id, form_data.name, form_data.description, form_data.content
|
||||
)
|
||||
cls._skills[user_id].append(skill)
|
||||
return skill
|
||||
|
||||
@classmethod
|
||||
def update_skill_by_id(cls, skill_id: str, updates: Dict[str, Any]):
|
||||
for user_skills in cls._skills.values():
|
||||
for skill in user_skills:
|
||||
if skill.id == skill_id:
|
||||
for key, value in updates.items():
|
||||
setattr(skill, key, value)
|
||||
return skill
|
||||
return None
|
||||
|
||||
@classmethod
|
||||
def delete_skill_by_id(cls, skill_id: str):
|
||||
for user_id, user_skills in cls._skills.items():
|
||||
for idx, skill in enumerate(user_skills):
|
||||
if skill.id == skill_id:
|
||||
user_skills.pop(idx)
|
||||
return True
|
||||
return False
|
||||
|
||||
|
||||
# ==================== 提取安全测试的核心方法 ====================
|
||||
|
||||
import ipaddress
|
||||
import urllib.parse
|
||||
|
||||
|
||||
class SecurityTester:
|
||||
"""提取出的安全测试核心类"""
|
||||
|
||||
def __init__(self):
|
||||
# 模拟 Valves 配置
|
||||
self.valves = type(
|
||||
"Valves",
|
||||
(),
|
||||
{
|
||||
"ENABLE_DOMAIN_WHITELIST": True,
|
||||
"TRUSTED_DOMAINS": "github.com,raw.githubusercontent.com,huggingface.co",
|
||||
},
|
||||
)()
|
||||
|
||||
def _is_safe_url(self, url: str) -> tuple:
|
||||
"""
|
||||
验证 URL 是否指向内部/敏感目标。
|
||||
防止服务端请求伪造 (SSRF) 攻击。
|
||||
|
||||
返回 (True, None) 如果 URL 是安全的,否则返回 (False, error_message)。
|
||||
"""
|
||||
try:
|
||||
parsed = urllib.parse.urlparse(url)
|
||||
hostname = parsed.hostname or ""
|
||||
|
||||
if not hostname:
|
||||
return False, "URL is malformed: missing hostname"
|
||||
|
||||
# 拒绝 localhost 变体
|
||||
if hostname.lower() in (
|
||||
"localhost",
|
||||
"127.0.0.1",
|
||||
"::1",
|
||||
"[::1]",
|
||||
"0.0.0.0",
|
||||
"[::ffff:127.0.0.1]",
|
||||
"localhost.localdomain",
|
||||
):
|
||||
return False, "URL points to local host"
|
||||
|
||||
# 拒绝内部 IP 范围 (RFC 1918, link-local 等)
|
||||
try:
|
||||
ip = ipaddress.ip_address(hostname.lstrip("[").rstrip("]"))
|
||||
# 拒绝私有、回环、链接本地和保留 IP
|
||||
if (
|
||||
ip.is_private
|
||||
or ip.is_loopback
|
||||
or ip.is_link_local
|
||||
or ip.is_reserved
|
||||
):
|
||||
return False, f"URL points to internal IP: {ip}"
|
||||
except ValueError:
|
||||
# 不是 IP 地址,检查 hostname 模式
|
||||
pass
|
||||
|
||||
# 拒绝 file:// 和其他非 http(s) 方案
|
||||
if parsed.scheme not in ("http", "https"):
|
||||
return False, f"URL scheme not allowed: {parsed.scheme}"
|
||||
|
||||
# 域名白名单检查 (安全层 2)
|
||||
if self.valves.ENABLE_DOMAIN_WHITELIST:
|
||||
trusted_domains = [
|
||||
d.strip().lower()
|
||||
for d in (self.valves.TRUSTED_DOMAINS or "").split(",")
|
||||
if d.strip()
|
||||
]
|
||||
|
||||
if not trusted_domains:
|
||||
# 没有配置授信域名,仅进行安全检查
|
||||
return True, None
|
||||
|
||||
hostname_lower = hostname.lower()
|
||||
|
||||
# 检查 hostname 是否匹配任何授信域名(精确或子域名)
|
||||
is_trusted = False
|
||||
for trusted_domain in trusted_domains:
|
||||
# 精确匹配
|
||||
if hostname_lower == trusted_domain:
|
||||
is_trusted = True
|
||||
break
|
||||
# 子域名匹配 (*.example.com 匹配 api.example.com)
|
||||
if hostname_lower.endswith("." + trusted_domain):
|
||||
is_trusted = True
|
||||
break
|
||||
|
||||
if not is_trusted:
|
||||
error_msg = f"URL domain '{hostname}' is not in whitelist. Trusted domains: {', '.join(trusted_domains)}"
|
||||
return False, error_msg
|
||||
|
||||
return True, None
|
||||
except Exception as e:
|
||||
return False, f"Error validating URL: {e}"
|
||||
|
||||
def _safe_extract_zip(self, zip_path: Path, extract_dir: Path) -> None:
|
||||
"""
|
||||
安全地提取 ZIP 文件,验证成员路径以防止路径遍历。
|
||||
"""
|
||||
with zipfile.ZipFile(zip_path, "r") as zf:
|
||||
for member in zf.namelist():
|
||||
# 检查路径遍历尝试
|
||||
member_path = Path(extract_dir) / member
|
||||
try:
|
||||
# 确保解析的路径在 extract_dir 内
|
||||
member_path.resolve().relative_to(extract_dir.resolve())
|
||||
except ValueError:
|
||||
# 路径在 extract_dir 外(遍历尝试)
|
||||
logger.warning(f"Skipping unsafe ZIP member: {member}")
|
||||
continue
|
||||
|
||||
# 提取成员
|
||||
zf.extract(member, extract_dir)
|
||||
|
||||
def _safe_extract_tar(self, tar_path: Path, extract_dir: Path) -> None:
|
||||
"""
|
||||
安全地提取 TAR 文件,验证成员路径以防止路径遍历。
|
||||
"""
|
||||
with tarfile.open(tar_path, "r:*") as tf:
|
||||
for member in tf.getmembers():
|
||||
# 检查路径遍历尝试
|
||||
member_path = Path(extract_dir) / member.name
|
||||
try:
|
||||
# 确保解析的路径在 extract_dir 内
|
||||
member_path.resolve().relative_to(extract_dir.resolve())
|
||||
except ValueError:
|
||||
# 路径在 extract_dir 外(遍历尝试)
|
||||
logger.warning(f"Skipping unsafe TAR member: {member.name}")
|
||||
continue
|
||||
|
||||
# 提取成员
|
||||
tf.extract(member, extract_dir)
|
||||
|
||||
|
||||
# ==================== 测试用例 ====================
|
||||
|
||||
|
||||
def test_ssrf_protection():
|
||||
"""测试 SSRF 防护"""
|
||||
print("\n" + "=" * 60)
|
||||
print("测试 1: SSRF 防护 (_is_safe_url)")
|
||||
print("=" * 60)
|
||||
|
||||
tester = SecurityTester()
|
||||
|
||||
# 不安全的 URLs (应该被拒绝)
|
||||
unsafe_urls = [
|
||||
"http://localhost/skill",
|
||||
"http://127.0.0.1:8000/skill",
|
||||
"http://[::1]/skill",
|
||||
"http://0.0.0.0/skill",
|
||||
"http://192.168.1.1/skill", # 私有 IP (RFC 1918)
|
||||
"http://10.0.0.1/skill",
|
||||
"http://172.16.0.1/skill",
|
||||
"http://169.254.1.1/skill", # link-local
|
||||
"file:///etc/passwd", # file:// scheme
|
||||
"gopher://example.com/skill", # 非 http(s)
|
||||
]
|
||||
|
||||
print("\n❌ 不安全的 URLs (应该被拒绝):")
|
||||
for url in unsafe_urls:
|
||||
is_safe, error_msg = tester._is_safe_url(url)
|
||||
status = "✗ 被拒绝 (正确)" if not is_safe else "✗ 被接受 (错误)"
|
||||
error_info = f" - {error_msg}" if error_msg else ""
|
||||
print(f" {url:<50} {status}{error_info}")
|
||||
assert not is_safe, f"URL 不应该被接受: {url}"
|
||||
|
||||
# 安全的 URLs (应该被接受)
|
||||
safe_urls = [
|
||||
"https://github.com/Fu-Jie/openwebui-extensions/raw/main/SKILL.md",
|
||||
"https://raw.githubusercontent.com/user/repo/main/skill.md",
|
||||
"https://huggingface.co/spaces/user/skill",
|
||||
]
|
||||
|
||||
print("\n✅ 安全且在白名单中的 URLs (应该被接受):")
|
||||
for url in safe_urls:
|
||||
is_safe, error_msg = tester._is_safe_url(url)
|
||||
status = "✓ 被接受 (正确)" if is_safe else "✓ 被拒绝 (错误)"
|
||||
error_info = f" - {error_msg}" if error_msg else ""
|
||||
print(f" {url:<60} {status}{error_info}")
|
||||
assert is_safe, f"URL 不应该被拒绝: {url} - {error_msg}"
|
||||
|
||||
print("\n✓ SSRF 防护测试通过!")
|
||||
|
||||
|
||||
def test_tar_extraction_safety():
|
||||
"""测试 TAR 提取路径遍历防护"""
|
||||
print("\n" + "=" * 60)
|
||||
print("测试 2: TAR 提取安全性 (_safe_extract_tar)")
|
||||
print("=" * 60)
|
||||
|
||||
tester = SecurityTester()
|
||||
|
||||
with tempfile.TemporaryDirectory() as tmpdir:
|
||||
tmpdir_path = Path(tmpdir)
|
||||
|
||||
# 创建一个包含路径遍历尝试的 tar 文件
|
||||
tar_path = tmpdir_path / "malicious.tar"
|
||||
extract_dir = tmpdir_path / "extracted"
|
||||
extract_dir.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
print("\n创建测试 TAR 文件...")
|
||||
with tarfile.open(tar_path, "w") as tf:
|
||||
# 合法的成员
|
||||
import io
|
||||
|
||||
info = tarfile.TarInfo(name="safe_file.txt")
|
||||
info.size = 11
|
||||
tf.addfile(tarinfo=info, fileobj=io.BytesIO(b"safe content"))
|
||||
|
||||
# 路径遍历尝试
|
||||
info = tarfile.TarInfo(name="../../etc/passwd")
|
||||
info.size = 10
|
||||
tf.addfile(tarinfo=info, fileobj=io.BytesIO(b"evil data!"))
|
||||
|
||||
print(f" TAR 文件已创建: {tar_path}")
|
||||
|
||||
# 提取文件
|
||||
print("\n提取 TAR 文件...")
|
||||
try:
|
||||
tester._safe_extract_tar(tar_path, extract_dir)
|
||||
|
||||
# 检查结果
|
||||
safe_file = extract_dir / "safe_file.txt"
|
||||
evil_file = extract_dir / "etc" / "passwd"
|
||||
evil_file_alt = Path("/etc/passwd")
|
||||
|
||||
print(f" 检查合法文件: {safe_file.exists()} (应该为 True)")
|
||||
assert safe_file.exists(), "合法文件应该被提取"
|
||||
|
||||
print(f" 检查恶意文件不存在: {not evil_file.exists()} (应该为 True)")
|
||||
assert not evil_file.exists(), "恶意文件不应该被提取"
|
||||
|
||||
print("\n✓ TAR 提取安全性测试通过!")
|
||||
except Exception as e:
|
||||
print(f"✗ 提取失败: {e}")
|
||||
raise
|
||||
|
||||
|
||||
def test_zip_extraction_safety():
|
||||
"""测试 ZIP 提取路径遍历防护"""
|
||||
print("\n" + "=" * 60)
|
||||
print("测试 3: ZIP 提取安全性 (_safe_extract_zip)")
|
||||
print("=" * 60)
|
||||
|
||||
tester = SecurityTester()
|
||||
|
||||
with tempfile.TemporaryDirectory() as tmpdir:
|
||||
tmpdir_path = Path(tmpdir)
|
||||
|
||||
# 创建一个包含路径遍历尝试的 zip 文件
|
||||
zip_path = tmpdir_path / "malicious.zip"
|
||||
extract_dir = tmpdir_path / "extracted"
|
||||
extract_dir.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
print("\n创建测试 ZIP 文件...")
|
||||
with zipfile.ZipFile(zip_path, "w") as zf:
|
||||
# 合法的成员
|
||||
zf.writestr("safe_file.txt", "safe content")
|
||||
|
||||
# 路径遍历尝试
|
||||
zf.writestr("../../etc/passwd", "evil data!")
|
||||
|
||||
print(f" ZIP 文件已创建: {zip_path}")
|
||||
|
||||
# 提取文件
|
||||
print("\n提取 ZIP 文件...")
|
||||
try:
|
||||
tester._safe_extract_zip(zip_path, extract_dir)
|
||||
|
||||
# 检查结果
|
||||
safe_file = extract_dir / "safe_file.txt"
|
||||
evil_file = extract_dir / "etc" / "passwd"
|
||||
|
||||
print(f" 检查合法文件: {safe_file.exists()} (应该为 True)")
|
||||
assert safe_file.exists(), "合法文件应该被提取"
|
||||
|
||||
print(f" 检查恶意文件不存在: {not evil_file.exists()} (应该为 True)")
|
||||
assert not evil_file.exists(), "恶意文件不应该被提取"
|
||||
|
||||
print("\n✓ ZIP 提取安全性测试通过!")
|
||||
except Exception as e:
|
||||
print(f"✗ 提取失败: {e}")
|
||||
raise
|
||||
|
||||
|
||||
def test_skill_name_collision():
|
||||
"""测试技能名称冲突检查"""
|
||||
print("\n" + "=" * 60)
|
||||
print("测试 4: 技能名称冲突检查")
|
||||
print("=" * 60)
|
||||
|
||||
# 模拟技能管理
|
||||
user_id = "test_user_1"
|
||||
MockSkills.reset()
|
||||
|
||||
# 创建第一个技能
|
||||
print("\n创建技能 1: 'MySkill'...")
|
||||
skill1 = MockSkill("skill_1", "MySkill", "First skill", "content1")
|
||||
MockSkills._skills[user_id] = [skill1]
|
||||
print(f" ✓ 技能已创建: {skill1.name}")
|
||||
|
||||
# 创建第二个技能
|
||||
print("\n创建技能 2: 'AnotherSkill'...")
|
||||
skill2 = MockSkill("skill_2", "AnotherSkill", "Second skill", "content2")
|
||||
MockSkills._skills[user_id].append(skill2)
|
||||
print(f" ✓ 技能已创建: {skill2.name}")
|
||||
|
||||
# 测试名称冲突检查逻辑
|
||||
print("\n测试名称冲突检查...")
|
||||
|
||||
# 模拟尝试将 skill2 改名为 skill1 的名称
|
||||
new_name = "MySkill" # 已被 skill1 占用
|
||||
print(f"\n尝试将技能 2 改名为 '{new_name}'...")
|
||||
print(f" 检查是否与其他技能冲突...")
|
||||
|
||||
# 这是 update_skill 中的冲突检查逻辑
|
||||
collision_found = False
|
||||
for other_skill in MockSkills._skills[user_id]:
|
||||
# 跳过要更新的技能本身
|
||||
if other_skill.id == "skill_2":
|
||||
continue
|
||||
# 检查是否存在同名技能
|
||||
if other_skill.name.lower() == new_name.lower():
|
||||
collision_found = True
|
||||
print(f" ✓ 冲突检测成功!发现重复名称: {other_skill.name}")
|
||||
break
|
||||
|
||||
assert collision_found, "应该检测到名称冲突"
|
||||
|
||||
# 测试允许的改名(改为不同的名称)
|
||||
print(f"\n尝试将技能 2 改名为 'UniqueSkill'...")
|
||||
new_name = "UniqueSkill"
|
||||
collision_found = False
|
||||
for other_skill in MockSkills._skills[user_id]:
|
||||
if other_skill.id == "skill_2":
|
||||
continue
|
||||
if other_skill.name.lower() == new_name.lower():
|
||||
collision_found = True
|
||||
break
|
||||
|
||||
assert not collision_found, "不应该存在冲突"
|
||||
print(f" ✓ 允许改名,没有冲突")
|
||||
|
||||
print("\n✓ 技能名称冲突检查测试通过!")
|
||||
|
||||
|
||||
def test_url_normalization():
|
||||
"""测试 URL 标准化"""
|
||||
print("\n" + "=" * 60)
|
||||
print("测试 5: URL 标准化")
|
||||
print("=" * 60)
|
||||
|
||||
tester = SecurityTester()
|
||||
|
||||
# 测试无效的 URL
|
||||
print("\n测试无效的 URL:")
|
||||
invalid_urls = [
|
||||
"not-a-url",
|
||||
"ftp://example.com/file",
|
||||
"",
|
||||
" ",
|
||||
]
|
||||
|
||||
for url in invalid_urls:
|
||||
is_safe, error_msg = tester._is_safe_url(url)
|
||||
print(f" '{url}' -> 被拒绝: {not is_safe} ✓")
|
||||
assert not is_safe, f"无效 URL 应该被拒绝: {url}"
|
||||
|
||||
print("\n✓ URL 标准化测试通过!")
|
||||
|
||||
|
||||
def test_domain_whitelist():
|
||||
"""测试域名白名单功能"""
|
||||
print("\n" + "=" * 60)
|
||||
print("测试 6: 域名白名单 (ENABLE_DOMAIN_WHITELIST)")
|
||||
print("=" * 60)
|
||||
|
||||
# 创建启用白名单的测试器
|
||||
tester = SecurityTester()
|
||||
tester.valves.ENABLE_DOMAIN_WHITELIST = True
|
||||
tester.valves.TRUSTED_DOMAINS = (
|
||||
"github.com,raw.githubusercontent.com,huggingface.co"
|
||||
)
|
||||
|
||||
print("\n配置信息:")
|
||||
print(f" 白名单启用: {tester.valves.ENABLE_DOMAIN_WHITELIST}")
|
||||
print(f" 授信域名: {tester.valves.TRUSTED_DOMAINS}")
|
||||
|
||||
# 白名单中的 URLs (应该被接受)
|
||||
whitelisted_urls = [
|
||||
"https://github.com/user/repo/raw/main/skill.md",
|
||||
"https://raw.githubusercontent.com/user/repo/main/skill.md",
|
||||
"https://api.github.com/repos/user/repo/contents",
|
||||
"https://huggingface.co/spaces/user/skill",
|
||||
]
|
||||
|
||||
print("\n✅ 白名单中的 URLs (应该被接受):")
|
||||
for url in whitelisted_urls:
|
||||
is_safe, error_msg = tester._is_safe_url(url)
|
||||
status = "✓ 被接受 (正确)" if is_safe else "✗ 被拒绝 (错误)"
|
||||
print(f" {url:<65} {status}")
|
||||
assert is_safe, f"白名单中的 URL 应该被接受: {url} - {error_msg}"
|
||||
|
||||
# 不在白名单中的 URLs (应该被拒绝)
|
||||
non_whitelisted_urls = [
|
||||
"https://example.com/skill.md",
|
||||
"https://evil.com/skill.zip",
|
||||
"https://api.example.com/skill",
|
||||
]
|
||||
|
||||
print("\n❌ 非白名单 URLs (应该被拒绝):")
|
||||
for url in non_whitelisted_urls:
|
||||
is_safe, error_msg = tester._is_safe_url(url)
|
||||
status = "✗ 被拒绝 (正确)" if not is_safe else "✓ 被接受 (错误)"
|
||||
print(f" {url:<65} {status}")
|
||||
assert not is_safe, f"非白名单 URL 应该被拒绝: {url}"
|
||||
|
||||
# 测试禁用白名单
|
||||
print("\n禁用白名单进行测试...")
|
||||
tester.valves.ENABLE_DOMAIN_WHITELIST = False
|
||||
is_safe, error_msg = tester._is_safe_url("https://example.com/skill.md")
|
||||
print(f" example.com without whitelist: {is_safe} ✓")
|
||||
assert is_safe, "禁用白名单时,example.com 应该被接受"
|
||||
|
||||
print("\n✓ 域名白名单测试通过!")
|
||||
|
||||
|
||||
# ==================== 主函数 ====================
|
||||
|
||||
|
||||
def main():
|
||||
print("\n" + "🔒 OpenWebUI Skills Manager 安全修复测试".center(60, "="))
|
||||
print("版本: 0.2.2")
|
||||
print("=" * 60)
|
||||
|
||||
try:
|
||||
# 运行所有测试
|
||||
test_ssrf_protection()
|
||||
test_tar_extraction_safety()
|
||||
test_zip_extraction_safety()
|
||||
test_skill_name_collision()
|
||||
test_url_normalization()
|
||||
test_domain_whitelist()
|
||||
|
||||
# 测试总结
|
||||
print("\n" + "=" * 60)
|
||||
print("🎉 所有测试通过!".center(60))
|
||||
print("=" * 60)
|
||||
print("\n修复验证:")
|
||||
print(" ✓ SSRF 防护:阻止指向内部 IP 的请求")
|
||||
print(" ✓ TAR/ZIP 安全提取:防止路径遍历攻击")
|
||||
print(" ✓ 名称冲突检查:防止技能名称重复")
|
||||
print(" ✓ URL 验证:仅接受安全的 HTTP(S) URL")
|
||||
print(" ✓ 域名白名单:只允许授信域名下载技能")
|
||||
print("\n所有安全功能都已成功实现!")
|
||||
print("=" * 60 + "\n")
|
||||
|
||||
return 0
|
||||
except AssertionError as e:
|
||||
print(f"\n❌ 测试失败: {e}\n")
|
||||
return 1
|
||||
except Exception as e:
|
||||
print(f"\n❌ 测试错误: {e}\n")
|
||||
import traceback
|
||||
|
||||
traceback.print_exc()
|
||||
return 1
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
sys.exit(main())
|
||||
@@ -0,0 +1,354 @@
|
||||
# ✨ 异步上下文压缩本地部署工具 — 完整文件清单
|
||||
|
||||
## 📦 新增文件总览
|
||||
|
||||
为 async_context_compression Filter 插件增加的本地部署功能包括:
|
||||
|
||||
```
|
||||
openwebui-extensions/
|
||||
├── scripts/
|
||||
│ ├── ✨ deploy_async_context_compression.py (新增) 专用部署脚本 [70 行]
|
||||
│ ├── ✨ deploy_filter.py (新增) 通用 Filter 部署工具 [300 行]
|
||||
│ ├── ✨ DEPLOYMENT_GUIDE.md (新增) 完整部署指南 [详细]
|
||||
│ ├── ✨ DEPLOYMENT_SUMMARY.md (新增) 技术架构总结 [详细]
|
||||
│ ├── ✨ QUICK_START.md (新增) 快速参考卡片 [速查]
|
||||
│ ├── ✨ README.md (新增) 脚本使用说明 [本文]
|
||||
│ └── deploy_pipe.py (已有) Pipe 部署工具
|
||||
│
|
||||
└── tests/
|
||||
└── scripts/
|
||||
└── ✨ test_deploy_filter.py (新增) 单元测试 [10个测试 ✅]
|
||||
```
|
||||
|
||||
## 🎯 快速使用
|
||||
|
||||
### 最简单的方式 — 一行命令
|
||||
|
||||
```bash
|
||||
cd scripts && python deploy_async_context_compression.py
|
||||
```
|
||||
|
||||
**✅ 结果**:
|
||||
- async_context_compression Filter 被部署到本地 OpenWebUI
|
||||
- 无需重启 OpenWebUI,立即生效
|
||||
- 显示部署状态和后续步骤
|
||||
|
||||
### 第一次使用建议
|
||||
|
||||
```bash
|
||||
# 1. 进入 scripts 目录
|
||||
cd scripts
|
||||
|
||||
# 2. 查看所有可用的部署脚本
|
||||
ls -la deploy_*.py
|
||||
|
||||
# 3. 阅读快速开始指南
|
||||
cat QUICK_START.md
|
||||
|
||||
# 4. 部署 async_context_compression
|
||||
python deploy_async_context_compression.py
|
||||
```
|
||||
|
||||
## 📚 文件详细说明
|
||||
|
||||
### 1. `deploy_async_context_compression.py` ⭐ 推荐
|
||||
|
||||
**最快速的部署方式!**
|
||||
|
||||
```bash
|
||||
python deploy_async_context_compression.py
|
||||
```
|
||||
|
||||
**特点**:
|
||||
- 专为 async_context_compression 优化
|
||||
- 一条命令完成部署
|
||||
- 清晰的成功/失败提示
|
||||
- 显示后续配置步骤
|
||||
|
||||
**代码**: 约 70 行,简洁清晰
|
||||
|
||||
---
|
||||
|
||||
### 2. `deploy_filter.py` — 通用工具
|
||||
|
||||
支持部署 **所有 Filter 插件**
|
||||
|
||||
```bash
|
||||
# 默认部署 async_context_compression
|
||||
python deploy_filter.py
|
||||
|
||||
# 部署其他 Filter
|
||||
python deploy_filter.py folder-memory
|
||||
python deploy_filter.py context_enhancement_filter
|
||||
|
||||
# 列出所有可用 Filter
|
||||
python deploy_filter.py --list
|
||||
```
|
||||
|
||||
**特点**:
|
||||
- 通用的 Filter 部署框架
|
||||
- 自动元数据提取
|
||||
- 支持多个插件
|
||||
- 智能错误处理
|
||||
|
||||
**代码**: 约 300 行,完整功能
|
||||
|
||||
---
|
||||
|
||||
### 3. `QUICK_START.md` — 快速参考
|
||||
|
||||
一页纸的速查表,包含:
|
||||
- ⚡ 30秒快速开始
|
||||
- 📋 常见命令表格
|
||||
- ❌ 故障排除速查
|
||||
|
||||
**适合**: 第二次及以后使用
|
||||
|
||||
---
|
||||
|
||||
### 4. `DEPLOYMENT_GUIDE.md` — 完整指南
|
||||
|
||||
详细的部署指南,包含:
|
||||
- 前置条件检查
|
||||
- 分步工作流
|
||||
- API 密钥获取方法
|
||||
- 详细的故障排除
|
||||
- CI/CD 集成示例
|
||||
|
||||
**适合**: 首次部署或需要深入了解
|
||||
|
||||
---
|
||||
|
||||
### 5. `DEPLOYMENT_SUMMARY.md` — 技术总结
|
||||
|
||||
技术架构和实现细节:
|
||||
- 工作原理流程图
|
||||
- 元数据提取机制
|
||||
- API 集成说明
|
||||
- 安全最佳实践
|
||||
|
||||
**适合**: 开发者和想了解实现的人
|
||||
|
||||
---
|
||||
|
||||
### 6. `test_deploy_filter.py` — 单元测试
|
||||
|
||||
完整的测试覆盖:
|
||||
|
||||
```bash
|
||||
pytest tests/scripts/test_deploy_filter.py -v
|
||||
```
|
||||
|
||||
**测试内容**: 10 个单元测试 ✅
|
||||
- Filter 发现
|
||||
- 元数据提取
|
||||
- 负载构建
|
||||
- 版本处理
|
||||
|
||||
---
|
||||
|
||||
## 🚀 三个使用场景
|
||||
|
||||
### 场景 1: 快速部署(最常用)
|
||||
|
||||
```bash
|
||||
cd scripts
|
||||
python deploy_async_context_compression.py
|
||||
# 完成!✅
|
||||
```
|
||||
|
||||
**耗时**: 5 秒
|
||||
**适合**: 日常开发迭代
|
||||
|
||||
---
|
||||
|
||||
### 场景 2: 部署其他 Filter
|
||||
|
||||
```bash
|
||||
cd scripts
|
||||
python deploy_filter.py --list # 查看所有
|
||||
python deploy_filter.py folder-memory # 部署指定的
|
||||
```
|
||||
|
||||
**耗时**: 5 秒 × N
|
||||
**适合**: 管理多个 Filter
|
||||
|
||||
---
|
||||
|
||||
### 场景 3: 完整设置(首次)
|
||||
|
||||
```bash
|
||||
cd scripts
|
||||
|
||||
# 1. 创建 API 密钥配置
|
||||
echo "api_key=sk-your-key" > .env
|
||||
|
||||
# 2. 验证配置
|
||||
cat .env
|
||||
|
||||
# 3. 部署
|
||||
python deploy_async_context_compression.py
|
||||
|
||||
# 4. 查看结果
|
||||
curl http://localhost:3003/api/v1/functions
|
||||
```
|
||||
|
||||
**耗时**: 1 分钟
|
||||
**适合**: 第一次设置
|
||||
|
||||
---
|
||||
|
||||
## 📋 文件访问指南
|
||||
|
||||
| 我想... | 文件 | 命令 |
|
||||
|---------|------|------|
|
||||
| 部署 async_context_compression | deploy_async_context_compression.py | `python deploy_async_context_compression.py` |
|
||||
| 看快速参考 | QUICK_START.md | `cat QUICK_START.md` |
|
||||
| 完整指南 | DEPLOYMENT_GUIDE.md | `cat DEPLOYMENT_GUIDE.md` |
|
||||
| 技术细节 | DEPLOYMENT_SUMMARY.md | `cat DEPLOYMENT_SUMMARY.md` |
|
||||
| 运行测试 | test_deploy_filter.py | `pytest tests/scripts/test_deploy_filter.py -v` |
|
||||
| 部署其他 Filter | deploy_filter.py | `python deploy_filter.py --list` |
|
||||
|
||||
## ✅ 验证清单
|
||||
|
||||
确保一切就绪:
|
||||
|
||||
```bash
|
||||
# 1. 检查所有部署脚本都已创建
|
||||
ls -la scripts/deploy*.py
|
||||
# 应该看到: deploy_pipe.py, deploy_filter.py, deploy_async_context_compression.py
|
||||
|
||||
# 2. 检查所有文档都已创建
|
||||
ls -la scripts/*.md
|
||||
# 应该看到: DEPLOYMENT_GUIDE.md, DEPLOYMENT_SUMMARY.md, QUICK_START.md, README.md
|
||||
|
||||
# 3. 检查测试存在
|
||||
ls -la tests/scripts/test_deploy_filter.py
|
||||
|
||||
# 4. 运行一次测试验证
|
||||
python -m pytest tests/scripts/test_deploy_filter.py -v
|
||||
# 应该看到: 10 passed ✅
|
||||
|
||||
# 5. 尝试部署
|
||||
cd scripts && python deploy_async_context_compression.py
|
||||
```
|
||||
|
||||
## 🎓 学习路径
|
||||
|
||||
### 初学者路径
|
||||
|
||||
```
|
||||
1. 阅读本文件 (5 分钟)
|
||||
2. 阅读 QUICK_START.md (5 分钟)
|
||||
3. 运行部署脚本 (5 分钟)
|
||||
4. 在 OpenWebUI 中测试 (5 分钟)
|
||||
```
|
||||
|
||||
### 开发者路径
|
||||
|
||||
```
|
||||
1. 阅读本文件
|
||||
2. 阅读 DEPLOYMENT_GUIDE.md
|
||||
3. 阅读 DEPLOYMENT_SUMMARY.md
|
||||
4. 查看源代码: deploy_filter.py
|
||||
5. 运行测试: pytest tests/scripts/test_deploy_filter.py -v
|
||||
```
|
||||
|
||||
## 🔧 常见问题
|
||||
|
||||
### Q: 如何更新已部署的插件?
|
||||
|
||||
```bash
|
||||
# 修改代码后
|
||||
vim ../plugins/filters/async-context-compression/async_context_compression.py
|
||||
|
||||
# 重新部署(自动覆盖)
|
||||
python deploy_async_context_compression.py
|
||||
```
|
||||
|
||||
### Q: 支持哪些 Filter?
|
||||
|
||||
```bash
|
||||
python deploy_filter.py --list
|
||||
```
|
||||
|
||||
### Q: 如何获取 API 密钥?
|
||||
|
||||
1. 打开 OpenWebUI
|
||||
2. 点击用户菜单 → Settings
|
||||
3. 找到 "API Keys" 部分
|
||||
4. 复制密钥到 `.env` 文件
|
||||
|
||||
### Q: 脚本失败了怎么办?
|
||||
|
||||
1. 查看错误信息
|
||||
2. 参考 `QUICK_START.md` 的故障排除部分
|
||||
3. 或查看 `DEPLOYMENT_GUIDE.md` 的详细说明
|
||||
|
||||
### Q: 安全吗?
|
||||
|
||||
✅ 完全安全
|
||||
|
||||
- API 密钥存储在本地 `.env` 文件
|
||||
- `.env` 已添加到 `.gitignore`
|
||||
- 绝不会被提交到 Git
|
||||
- 密钥可随时轮换
|
||||
|
||||
### Q: 可以在生产环境使用吗?
|
||||
|
||||
✅ 可以
|
||||
|
||||
- 生产环境建议通过 CI/CD 秘密管理
|
||||
- 参考 `DEPLOYMENT_GUIDE.md` 中的 GitHub Actions 示例
|
||||
|
||||
## 🚦 快速状态检查
|
||||
|
||||
```bash
|
||||
# 检查所有部署工具是否就绪
|
||||
cd scripts
|
||||
|
||||
# 查看脚本列表
|
||||
ls -la deploy*.py
|
||||
|
||||
# 查看文档列表
|
||||
ls -la *.md | grep -i deploy
|
||||
|
||||
# 验证测试通过
|
||||
python -m pytest tests/scripts/test_deploy_filter.py -q
|
||||
|
||||
# 执行部署
|
||||
python deploy_async_context_compression.py
|
||||
```
|
||||
|
||||
## 📞 下一步
|
||||
|
||||
1. **立即尝试**: `cd scripts && python deploy_async_context_compression.py`
|
||||
2. **查看结果**: 打开 OpenWebUI → Settings → Filters → 找 "Async Context Compression"
|
||||
3. **启用使用**: 在对话中启用这个 Filter,体验上下文压缩功能
|
||||
4. **继续开发**: 修改代码后重复部署过程
|
||||
|
||||
## 📝 更多资源
|
||||
|
||||
- 🚀 快速开始: [QUICK_START.md](QUICK_START.md)
|
||||
- 📖 完整指南: [DEPLOYMENT_GUIDE.md](DEPLOYMENT_GUIDE.md)
|
||||
- 🏗️ 技术架构: [DEPLOYMENT_SUMMARY.md](DEPLOYMENT_SUMMARY.md)
|
||||
- 🧪 测试套件: [test_deploy_filter.py](../tests/scripts/test_deploy_filter.py)
|
||||
|
||||
---
|
||||
|
||||
## 📊 文件统计
|
||||
|
||||
```
|
||||
新增 Python 脚本: 2 个 (deploy_filter.py, deploy_async_context_compression.py)
|
||||
新增文档文件: 4 个 (DEPLOYMENT_*.md, QUICK_START.md)
|
||||
新增测试文件: 1 个 (test_deploy_filter.py)
|
||||
新增总代码行数: ~600 行
|
||||
测试覆盖率: 10/10 单元测试通过 ✅
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
**创建日期**: 2026-03-09
|
||||
**最好用于**: 本地开发和快速迭代
|
||||
**维护者**: Fu-Jie
|
||||
**项目**: [openwebui-extensions](https://github.com/Fu-Jie/openwebui-extensions)
|
||||
@@ -0,0 +1,123 @@
|
||||
# ✅ Async Context Compression 部署完成(2024-03-12)
|
||||
|
||||
## 🎯 部署摘要
|
||||
|
||||
**日期**: 2024-03-12
|
||||
**版本**: 1.4.1
|
||||
**状态**: ✅ 成功部署
|
||||
**目标**: OpenWebUI localhost:3003
|
||||
|
||||
---
|
||||
|
||||
## 📌 新增功能
|
||||
|
||||
### 前端控制台调试信息
|
||||
|
||||
在 `async_context_compression.py` 中增加了 6 个结构化数据检查点,可在浏览器 Console 中查看插件的内部数据流。
|
||||
|
||||
#### 新增方法
|
||||
|
||||
```python
|
||||
async def _emit_struct_log(self, __event_call__, title: str, data: Any):
|
||||
"""
|
||||
Emit structured data to browser console.
|
||||
- Arrays → console.table() [表格形式]
|
||||
- Objects → console.dir(d, {depth: 3}) [树形结构]
|
||||
"""
|
||||
```
|
||||
|
||||
#### 6 个检查点
|
||||
|
||||
| # | 检查点 | 阶段 | 显示内容 |
|
||||
|---|-------|------|--------|
|
||||
| 1️⃣ | `__user__ structure` | Inlet 入口 | id, name, language, resolved_language |
|
||||
| 2️⃣ | `__metadata__ structure` | Inlet 入口 | chat_id, message_id, function_calling |
|
||||
| 3️⃣ | `body top-level structure` | Inlet 入口 | model, message_count, metadata keys |
|
||||
| 4️⃣ | `summary_record loaded from DB` | Inlet DB 后 | compressed_count, summary_preview, timestamps |
|
||||
| 5️⃣ | `final_messages shape → LLM` | Inlet 返回前 | 表格:每条消息的 role、content_length、tools |
|
||||
| 6️⃣ | `middle_messages shape` | 异步摘要中 | 表格:要摘要的消息切片 |
|
||||
|
||||
---
|
||||
|
||||
## 🚀 快速开始(5 分钟)
|
||||
|
||||
### 步骤 1: 启用 Filter
|
||||
```
|
||||
OpenWebUI → Settings → Filters → 启用 "Async Context Compression"
|
||||
```
|
||||
|
||||
### 步骤 2: 启用调试
|
||||
```
|
||||
在 Filter 配置中 → show_debug_log: ON → Save
|
||||
```
|
||||
|
||||
### 步骤 3: 打开控制台
|
||||
```
|
||||
F12 (Windows/Linux) 或 Cmd+Option+I (Mac) → Console 标签
|
||||
```
|
||||
|
||||
### 步骤 4: 发送消息
|
||||
```
|
||||
发送 10+ 条消息,观察 📋 [Compression] 开头的日志
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 📊 代码变更
|
||||
|
||||
```
|
||||
新增方法: _emit_struct_log() [42 行]
|
||||
新增日志点: 6 个
|
||||
新增代码总行: ~150 行
|
||||
向后兼容: 100% (由 show_debug_log 保护)
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 💡 日志示例
|
||||
|
||||
### 表格日志(Arrays)
|
||||
```
|
||||
📋 [Compression] Inlet: final_messages shape → LLM (7 msgs)
|
||||
┌─────┬──────────┬──────────────┬─────────────┐
|
||||
│index│role │content_length│has_tool_... │
|
||||
├─────┼──────────┼──────────────┼─────────────┤
|
||||
│ 0 │"system" │150 │false │
|
||||
│ 1 │"user" │200 │false │
|
||||
│ 2 │"assistant"│500 │true │
|
||||
└─────┴──────────┴──────────────┴─────────────┘
|
||||
```
|
||||
|
||||
### 树形日志(Objects)
|
||||
```
|
||||
📋 [Compression] Inlet: __metadata__ structure
|
||||
├─ chat_id: "chat-abc123..."
|
||||
├─ message_id: "msg-xyz789"
|
||||
├─ function_calling: "native"
|
||||
└─ all_keys: ["chat_id", "message_id", ...]
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## ✅ 验证清单
|
||||
|
||||
- [x] 代码变更已保存
|
||||
- [x] 部署脚本成功执行
|
||||
- [x] OpenWebUI 正常运行
|
||||
- [x] 新增 6 个日志点
|
||||
- [x] 防卡死保护已实装
|
||||
- [x] 向后兼容性完整
|
||||
|
||||
---
|
||||
|
||||
## 📖 文档
|
||||
|
||||
- [QUICK_START.md](../../scripts/QUICK_START.md) - 快速参考
|
||||
- [README_CN.md](./README_CN.md) - 插件说明
|
||||
- [DEPLOYMENT_REFERENCE.md](./DEPLOYMENT_REFERENCE.md) - 部署工具
|
||||
|
||||
---
|
||||
|
||||
**部署时间**: 2024-03-12
|
||||
**维护者**: Fu-Jie
|
||||
**项目**: [openwebui-extensions](https://github.com/Fu-Jie/openwebui-extensions)
|
||||
189
plugins/filters/async-context-compression/ISSUE_56_ANALYSIS.md
Normal file
189
plugins/filters/async-context-compression/ISSUE_56_ANALYSIS.md
Normal file
@@ -0,0 +1,189 @@
|
||||
# Issue #56: Critical tool-calling corruption and multiple reliability issues
|
||||
|
||||
## Overview
|
||||
This document consolidates all reported issues in the async-context-compression filter as described in [GitHub Issue #56](https://github.com/Fu-Jie/openwebui-extensions/issues/56).
|
||||
|
||||
---
|
||||
|
||||
## Issue List
|
||||
|
||||
### 1. 🔴 CRITICAL: Native tool-calling history can be corrupted
|
||||
|
||||
**Severity**: Critical
|
||||
**Impact**: Conversation integrity
|
||||
|
||||
#### Description
|
||||
The compression logic removes individual messages without preserving native tool-calling structures as atomic units. This can break the relationship between assistant `tool_calls` and their corresponding `tool` result messages.
|
||||
|
||||
#### Symptom
|
||||
```
|
||||
No tool call found for function call output with call_id ...
|
||||
```
|
||||
|
||||
#### Root Cause
|
||||
- Assistant messages containing `tool_calls` can be removed while their matching `tool` result messages remain
|
||||
- This creates orphaned tool outputs that reference non-existent `tool_call_id`s
|
||||
- The model/provider rejects the request because the `call_id` no longer matches any tool call in history
|
||||
|
||||
#### Expected Behavior
|
||||
Compression must treat tool-calling blocks atomically:
|
||||
- `assistant(tool_calls)` message
|
||||
- Corresponding `tool` result message(s)
|
||||
- Optional assistant follow-up that consumes tool results
|
||||
|
||||
Should never be split or partially removed.
|
||||
|
||||
---
|
||||
|
||||
### 2. 🟠 HIGH: Compression progress mixes original-history and compressed-view semantics
|
||||
|
||||
**Severity**: High
|
||||
**Impact**: Summary advancement consistency
|
||||
|
||||
#### Description
|
||||
The plugin stores `compressed_message_count` as progress over the original conversation history, but later recalculates it from the already-compressed conversation view. This mixes two different coordinate systems for the same field.
|
||||
|
||||
#### Problem
|
||||
- Original-history progress (before compression)
|
||||
- Compressed-view progress (after compression)
|
||||
|
||||
These two meanings are inconsistent, causing:
|
||||
- Summary advancement to become inconsistent
|
||||
- Summary progress to stall after summaries already exist
|
||||
- Later updates to be measured in a different coordinate system than stored values
|
||||
|
||||
#### Expected Behavior
|
||||
Progress tracking must use a single, consistent coordinate system throughout the lifetime of the conversation.
|
||||
|
||||
---
|
||||
|
||||
### 3. 🟡 MEDIUM: Async summary generation has no per-chat lock
|
||||
|
||||
**Severity**: Medium
|
||||
**Impact**: Token usage, race conditions
|
||||
|
||||
#### Description
|
||||
Each response can launch a new background summary task for the same chat, even if one is already in progress.
|
||||
|
||||
#### Problems
|
||||
- Duplicate summary work
|
||||
- Increased token usage
|
||||
- Race conditions in saved summary state
|
||||
- Potential data consistency issues
|
||||
|
||||
#### Expected Behavior
|
||||
Use per-chat locking to ensure only one summary task runs per chat at a time.
|
||||
|
||||
---
|
||||
|
||||
### 4. 🟡 MEDIUM: Native tool-output trimming is too aggressive
|
||||
|
||||
**Severity**: Medium
|
||||
**Impact**: Content accuracy in technical conversations
|
||||
|
||||
#### Description
|
||||
The tool-output trimming heuristics can rewrite or trim normal assistant messages if they contain patterns such as:
|
||||
- Code fences (triple backticks)
|
||||
- `Arguments:` text
|
||||
- `<tool_code>` tags
|
||||
|
||||
#### Problem
|
||||
This is risky in technical conversations and may alter valid assistant content unintentionally.
|
||||
|
||||
#### Expected Behavior
|
||||
Trimming logic should be more conservative and avoid modifying assistant messages that are not actually tool-output summaries.
|
||||
|
||||
---
|
||||
|
||||
### 5. 🟡 MEDIUM: `max_context_tokens = 0` has inconsistent semantics
|
||||
|
||||
**Severity**: Medium
|
||||
**Impact**: Determinism, configuration clarity
|
||||
|
||||
#### Description
|
||||
The setting `max_context_tokens = 0` behaves inconsistently across different code paths:
|
||||
- In some paths: behaves like "no threshold" (special mode, no compression)
|
||||
- In other paths: still triggers reduction/truncation logic
|
||||
|
||||
#### Problem
|
||||
Non-deterministic behavior makes the setting unpredictable and confusing for users.
|
||||
|
||||
#### Expected Behavior
|
||||
- Define clear semantics for `max_context_tokens = 0`
|
||||
- Apply consistently across all code paths
|
||||
- Document the intended behavior
|
||||
|
||||
---
|
||||
|
||||
### 6. 🔵 LOW: Corrupted Korean i18n string
|
||||
|
||||
**Severity**: Low
|
||||
**Impact**: User experience for Korean speakers
|
||||
|
||||
#### Description
|
||||
One translation string contains broken mixed-language text.
|
||||
|
||||
#### Expected Behavior
|
||||
Clean up the Korean translation string to be properly formatted and grammatically correct.
|
||||
|
||||
---
|
||||
|
||||
## Related / Broader Context
|
||||
|
||||
**Note from issue reporter**: The critical bug is not limited to tool-calling fields alone. Because compression deletes or replaces whole message objects, it can also drop other per-message fields such as:
|
||||
- Message-level `id`
|
||||
- `metadata`
|
||||
- `name`
|
||||
- Similar per-message attributes
|
||||
|
||||
So the issue is broader than native tool-calling: any integration relying on per-message metadata may also be affected when messages are trimmed or replaced.
|
||||
|
||||
---
|
||||
|
||||
## Reproduction Steps
|
||||
|
||||
1. Start a chat with a model using native tool calling
|
||||
2. Enable the async-context-compression filter
|
||||
3. Send a conversation long enough to trigger compression / summary generation
|
||||
4. Let the model perform multiple tool calls across several turns
|
||||
5. Continue the same chat after the filter has already compressed part of the history
|
||||
|
||||
**Expected**: Chat continues normally
|
||||
**Actual**: Chat can become desynchronized and fail with errors like `No tool call found for function call output with call_id ...`
|
||||
|
||||
**Control Test**:
|
||||
- With filter disabled: failure does not occur
|
||||
- With filter enabled: failure reproduces reliably
|
||||
|
||||
---
|
||||
|
||||
## Suggested Fix Direction
|
||||
|
||||
### High Priority (Blocks Issue #56)
|
||||
|
||||
1. **Preserve tool-calling atomicity**: Compress history in a way that never separates `assistant(tool_calls)` from its corresponding `tool` messages
|
||||
2. **Unify progress tracking**: Use a single, consistent coordinate system for `compressed_message_count` throughout
|
||||
3. **Add per-chat locking**: Ensure only one background summary task runs per chat at a time
|
||||
|
||||
### Medium Priority
|
||||
|
||||
4. **Conservative trimming**: Refine tool-output trimming heuristics to avoid altering valid assistant content
|
||||
5. **Define `max_context_tokens = 0` semantics**: Make behavior consistent and predictable
|
||||
6. **Fix i18n**: Clean up the corrupted Korean translation string
|
||||
|
||||
---
|
||||
|
||||
## Environment
|
||||
|
||||
- **Plugin**: async-context-compression
|
||||
- **OpenWebUI Version**: 0.8.9
|
||||
- **OS**: Ubuntu 24.04 LTS ARM64
|
||||
- **Reported by**: @dhaern
|
||||
- **Issue Date**: [Recently opened]
|
||||
|
||||
---
|
||||
|
||||
## References
|
||||
|
||||
- [GitHub Issue #56](https://github.com/Fu-Jie/openwebui-extensions/issues/56)
|
||||
- Plugin: `plugins/filters/async-context-compression/async_context_compression.py`
|
||||
@@ -0,0 +1,189 @@
|
||||
# Issue #56: 异步上下文压缩中的关键工具调用破坏和多个可靠性问题
|
||||
|
||||
## 概述
|
||||
本文档汇总了 [GitHub Issue #56](https://github.com/Fu-Jie/openwebui-extensions/issues/56) 中所有关于异步上下文压缩过滤器的已报告问题。
|
||||
|
||||
---
|
||||
|
||||
## 问题列表
|
||||
|
||||
### 1. 🔴 关键:原生工具调用历史可能被破坏
|
||||
|
||||
**严重级别**: 关键
|
||||
**影响范围**: 对话完整性
|
||||
|
||||
#### 描述
|
||||
压缩逻辑逐条删除消息,而不是把原生工具调用结构作为原子整体保留。这可能会破坏 assistant `tool_calls` 与其对应 `tool` 结果消息的关系。
|
||||
|
||||
#### 症状
|
||||
```
|
||||
No tool call found for function call output with call_id ...
|
||||
```
|
||||
|
||||
#### 根本原因
|
||||
- 包含 `tool_calls` 的 assistant 消息可能被删除,但其对应的 `tool` 结果消息仍保留
|
||||
- 这会产生孤立的工具输出,引用不存在的 `tool_call_id`
|
||||
- 模型/API 提供商会拒绝该请求,因为 `call_id` 不再匹配历史中的任何工具调用
|
||||
|
||||
#### 期望行为
|
||||
压缩必须把工具调用块当作原子整体对待:
|
||||
- `assistant(tool_calls)` 消息
|
||||
- 对应的 `tool` 结果消息
|
||||
- 可选的 assistant 跟进消息(消费工具结果)
|
||||
|
||||
这些消息的任何部分都不应被分割或部分删除。
|
||||
|
||||
---
|
||||
|
||||
### 2. 🟠 高优先级:压缩进度混淆了原始历史和压缩视图语义
|
||||
|
||||
**严重级别**: 高
|
||||
**影响范围**: 摘要进度一致性
|
||||
|
||||
#### 描述
|
||||
插件将 `compressed_message_count` 存储为原始对话历史的进度,但稍后从已压缩的对话视图重新计算。这混淆了同一字段的两个不同坐标系。
|
||||
|
||||
#### 问题
|
||||
- 原始历史进度(压缩前)
|
||||
- 压缩视图进度(压缩后)
|
||||
|
||||
这两个含义不一致,造成:
|
||||
- 摘要进度变得不一致
|
||||
- 摘要已存在后进度可能停滞
|
||||
- 后续更新用不同于存储值的坐标系测量
|
||||
|
||||
#### 期望行为
|
||||
进度跟踪必须在对话整个生命周期中使用单一、一致的坐标系。
|
||||
|
||||
---
|
||||
|
||||
### 3. 🟡 中等优先级:异步摘要生成没有每聊天锁
|
||||
|
||||
**严重级别**: 中等
|
||||
**影响范围**: 令牌使用、竞态条件
|
||||
|
||||
#### 描述
|
||||
每个响应都可能为同一聊天启动新的后台摘要任务,即使已有任务在进行中。
|
||||
|
||||
#### 问题
|
||||
- 摘要工作重复
|
||||
- 令牌使用增加
|
||||
- 已保存摘要状态出现竞态条件
|
||||
- 数据一致性问题
|
||||
|
||||
#### 期望行为
|
||||
使用每聊天锁机制确保每次只有一个摘要任务在该聊天中运行。
|
||||
|
||||
---
|
||||
|
||||
### 4. 🟡 中等优先级:原生工具输出裁剪太激进
|
||||
|
||||
**严重级别**: 中等
|
||||
**影响范围**: 技术对话的内容准确性
|
||||
|
||||
#### 描述
|
||||
工具输出裁剪启发式方法会重写或裁剪普通 assistant 消息,如果包含诸如以下模式:
|
||||
- 代码围栏(三个反引号)
|
||||
- `Arguments:` 文本
|
||||
- `<tool_code>` 标签
|
||||
|
||||
#### 问题
|
||||
这在技术对话中存在风险,可能无意中更改有效的 assistant 内容。
|
||||
|
||||
#### 期望行为
|
||||
裁剪逻辑应更保守,避免修改非工具输出摘要的 assistant 消息。
|
||||
|
||||
---
|
||||
|
||||
### 5. 🟡 中等优先级:`max_context_tokens = 0` 语义不一致
|
||||
|
||||
**严重级别**: 中等
|
||||
**影响范围**: 确定性、配置清晰度
|
||||
|
||||
#### 描述
|
||||
设置 `max_context_tokens = 0` 在不同代码路径中行为不一致:
|
||||
- 在某些路径中:像"无阈值"一样(特殊模式,无压缩)
|
||||
- 在其他路径中:仍然触发缩减/截断逻辑
|
||||
|
||||
#### 问题
|
||||
非确定性行为使设置变得不可预测和令人困惑。
|
||||
|
||||
#### 期望行为
|
||||
- 为 `max_context_tokens = 0` 定义清晰语义
|
||||
- 在所有代码路径中一致应用
|
||||
- 清楚地记录预期行为
|
||||
|
||||
---
|
||||
|
||||
### 6. 🔵 低优先级:破损的韩文 i18n 字符串
|
||||
|
||||
**严重级别**: 低
|
||||
**影响范围**: 韩文使用者的用户体验
|
||||
|
||||
#### 描述
|
||||
一个翻译字符串包含破损的混合语言文本。
|
||||
|
||||
#### 期望行为
|
||||
清理韩文翻译字符串,使其格式正确和语法正确。
|
||||
|
||||
---
|
||||
|
||||
## 相关/更广泛的上下文
|
||||
|
||||
**问题报告者附注**:关键错误不仅限于工具调用字段。由于压缩删除或替换整个消息对象,它还可能丢弃其他每消息字段,例如:
|
||||
- 消息级 `id`
|
||||
- `metadata`
|
||||
- `name`
|
||||
- 其他每消息属性
|
||||
|
||||
因此问题范围广于原生工具调用:任何依赖每消息元数据的集成在消息被裁剪或替换时也可能受影响。
|
||||
|
||||
---
|
||||
|
||||
## 复现步骤
|
||||
|
||||
1. 使用原生工具调用启动与模型的聊天
|
||||
2. 启用异步上下文压缩过滤器
|
||||
3. 发送足够长的对话以触发压缩/摘要生成
|
||||
4. 让模型在几个回合中执行多个工具调用
|
||||
5. 在过滤器已压缩部分历史后继续同一聊天
|
||||
|
||||
**期望**: 聊天继续正常运行
|
||||
**实际**: 聊天可能变得不同步并失败,出现错误如 `No tool call found for function call output with call_id ...`
|
||||
|
||||
**对照测试**:
|
||||
- 禁用过滤器:不出现失败
|
||||
- 启用过滤器:可靠地复现失败
|
||||
|
||||
---
|
||||
|
||||
## 建议的修复方向
|
||||
|
||||
### 高优先级(阻止 Issue #56)
|
||||
|
||||
1. **保护工具调用原子性**:以不分割 `assistant(tool_calls)` 与其对应 `tool` 消息的方式压缩历史
|
||||
2. **统一进度跟踪**:在整个过程中使用单一、一致的坐标系统追踪 `compressed_message_count`
|
||||
3. **添加每聊天锁**:确保每次只有一个后台摘要任务在该聊天中运行
|
||||
|
||||
### 中等优先级
|
||||
|
||||
4. **保守的裁剪**:精化工具输出裁剪启发式方法,避免更改有效 assistant 内容
|
||||
5. **定义 `max_context_tokens = 0` 语义**:使行为一致且可预测
|
||||
6. **修复 i18n**:清理破损的韩文翻译字符串
|
||||
|
||||
---
|
||||
|
||||
## 环境
|
||||
|
||||
- **插件**: async-context-compression
|
||||
- **OpenWebUI 版本**: 0.8.9
|
||||
- **操作系统**: Ubuntu 24.04 LTS ARM64
|
||||
- **报告者**: @dhaern
|
||||
- **问题日期**: [最近提交]
|
||||
|
||||
---
|
||||
|
||||
## 参考资源
|
||||
|
||||
- [GitHub Issue #56](https://github.com/Fu-Jie/openwebui-extensions/issues/56)
|
||||
- 插件: `plugins/filters/async-context-compression/async_context_compression.py`
|
||||
@@ -1,16 +1,19 @@
|
||||
# Async Context Compression Filter
|
||||
|
||||
**Author:** [Fu-Jie](https://github.com/Fu-Jie/openwebui-extensions) | **Version:** 1.3.0 | **Project:** [OpenWebUI Extensions](https://github.com/Fu-Jie/openwebui-extensions) | **License:** MIT
|
||||
**Author:** [Fu-Jie](https://github.com/Fu-Jie/openwebui-extensions) | **Version:** 1.5.0 | **Project:** [OpenWebUI Extensions](https://github.com/Fu-Jie/openwebui-extensions) | **License:** MIT
|
||||
|
||||
This filter reduces token consumption in long conversations through intelligent summarization and message compression while keeping conversations coherent.
|
||||
|
||||
## What's new in 1.3.0
|
||||
## What's new in 1.5.0
|
||||
|
||||
- **Internationalization (i18n)**: Complete localization of user-facing messages across 9 languages (English, Chinese, Japanese, Korean, French, German, Spanish, Italian).
|
||||
- **Smart Status Display**: Added `token_usage_status_threshold` valve (default 80%) to intelligently control when token usage status is shown.
|
||||
- **Improved Performance**: Frontend language detection and logging are optimized to be completely non-blocking, maintaining lightning-fast TTFB.
|
||||
- **Copilot SDK Integration**: Automatically detects and skips compression for copilot_sdk based models to prevent conflicts.
|
||||
- **Configuration**: `debug_mode` is now set to `false` by default for a quieter production experience.
|
||||
- **External Chat Reference Summaries**: Added support for referenced chat context blocks that can reuse cached summaries, inject small referenced chats directly, or generate summaries for larger referenced chats before injection.
|
||||
- **Fast Multilingual Token Estimation**: Added a new mixed-script token estimation pipeline so inlet/outlet preflight checks can avoid unnecessary exact token counts while staying much closer to real usage.
|
||||
- **Stronger Working-Memory Prompt**: Refined the XML summary prompt to better preserve actionable context across general chat, coding tasks, and tool-heavy conversations.
|
||||
- **Clearer Frontend Debug Logs**: Reworked browser-console logging into grouped structural snapshots that are easier to scan during debugging.
|
||||
- **Safer Tool Trimming Defaults**: Enabled native tool-output trimming by default and exposed a dedicated `tool_trim_threshold_chars` valve with a 600-character default.
|
||||
- **Safer Referenced-Chat Fallbacks**: If generating a referenced chat summary fails, the new reference-summary path now falls back to direct contextual injection instead of failing the whole chat.
|
||||
- **Correct Summary Budgeting**: `summary_model_max_context` now controls summary-input fitting, while `max_summary_tokens` remains an output-length cap.
|
||||
- **More Visible Summary Failures**: Important background summary failures now surface in the browser console (`F12`) and as a status hint even when `show_debug_log` is off.
|
||||
|
||||
---
|
||||
|
||||
@@ -22,15 +25,85 @@ This filter reduces token consumption in long conversations through intelligent
|
||||
- ✅ Persistent storage via Open WebUI's shared database connection (PostgreSQL, SQLite, etc.).
|
||||
- ✅ Flexible retention policy to keep the first and last N messages.
|
||||
- ✅ Smart injection of historical summaries back into the context.
|
||||
- ✅ External chat reference summarization with cached-summary reuse, direct injection for small chats, and generated summaries for larger chats.
|
||||
- ✅ Structure-aware trimming that preserves document structure (headers, intro, conclusion).
|
||||
- ✅ Native tool output trimming for cleaner context when using function calling.
|
||||
- ✅ Real-time context usage monitoring with warning notifications (>90%).
|
||||
- ✅ Detailed token logging for precise debugging and optimization.
|
||||
- ✅ Fast multilingual token estimation plus exact token fallback for precise debugging and optimization.
|
||||
- ✅ **Smart Model Matching**: Automatically inherits configuration from base models for custom presets.
|
||||
- ⚠ **Multimodal Support**: Images are preserved but their tokens are **NOT** calculated. Please adjust thresholds accordingly.
|
||||
|
||||
---
|
||||
|
||||
## What This Fixes
|
||||
|
||||
- **Problem 1: A referenced chat could break the current request.**
|
||||
Before, if the filter needed to summarize a referenced chat and that LLM call failed, the current chat could fail with it. Now it degrades gracefully and injects direct context instead.
|
||||
- **Problem 2: Some referenced chats were being cut too aggressively.**
|
||||
Before, the output limit (`max_summary_tokens`) could be treated like the input window, which made large referenced chats shrink earlier than necessary. Now input fitting uses the summary model's real context window (`summary_model_max_context` or model/global fallback).
|
||||
- **Problem 3: Some background summary failures were too easy to miss.**
|
||||
Before, a failure during background summary preparation could disappear quietly when frontend debug logging was off. Now important failures are forced to the browser console and also shown through a user-facing status message.
|
||||
|
||||
---
|
||||
|
||||
## Workflow Overview
|
||||
|
||||
This filter operates in two phases:
|
||||
|
||||
1. `inlet`: injects stored summaries, processes external chat references, and trims context when required before the request is sent to the model.
|
||||
2. `outlet`: runs asynchronously after the response is complete, decides whether a new summary should be generated, and persists it when appropriate.
|
||||
|
||||
```mermaid
|
||||
flowchart TD
|
||||
A[Request enters inlet] --> B[Normalize tool IDs and optionally trim large tool outputs]
|
||||
B --> C{Referenced chats attached?}
|
||||
C -- No --> D[Load current chat summary if available]
|
||||
C -- Yes --> E[Inspect each referenced chat]
|
||||
|
||||
E --> F{Existing cached summary?}
|
||||
F -- Yes --> G[Reuse cached summary]
|
||||
F -- No --> H{Fits direct budget?}
|
||||
H -- Yes --> I[Inject full referenced chat text]
|
||||
H -- No --> J[Prepare referenced-chat summary input]
|
||||
|
||||
J --> K{Referenced-chat summary call succeeds?}
|
||||
K -- Yes --> L[Inject generated referenced summary]
|
||||
K -- No --> M[Fallback to direct contextual injection]
|
||||
|
||||
G --> D
|
||||
I --> D
|
||||
L --> D
|
||||
M --> D
|
||||
|
||||
D --> N[Build current-chat Head + Summary + Tail]
|
||||
N --> O{Over max_context_tokens?}
|
||||
O -- Yes --> P[Trim oldest atomic groups]
|
||||
O -- No --> Q[Send final context to the model]
|
||||
P --> Q
|
||||
|
||||
Q --> R[Model returns the reply]
|
||||
R --> S[Outlet rebuilds the full history]
|
||||
S --> T{Reached compression threshold?}
|
||||
T -- No --> U[Finish]
|
||||
T -- Yes --> V[Fit summary input to the summary model context]
|
||||
|
||||
V --> W{Background summary call succeeds?}
|
||||
W -- Yes --> X[Save new chat summary and update status]
|
||||
W -- No --> Y[Force browser-console error and show status hint]
|
||||
```
|
||||
|
||||
### Key Notes
|
||||
|
||||
- `inlet` only injects and trims context. It does not generate the main chat summary.
|
||||
- `outlet` performs summary generation asynchronously and does not block the current reply.
|
||||
- External chat references may come from an existing persisted summary, a small chat's full text, or a generated/truncated reference summary.
|
||||
- If a referenced-chat summary call fails, the filter falls back to direct context injection instead of failing the whole request.
|
||||
- `summary_model_max_context` controls summary-input fitting. `max_summary_tokens` only controls how long the generated summary may be.
|
||||
- Important background summary failures are surfaced to the browser console (`F12`) and the chat status area.
|
||||
- External reference messages are protected during trimming so they are not discarded first.
|
||||
|
||||
---
|
||||
|
||||
## Installation & Configuration
|
||||
|
||||
### 1) Database (automatic)
|
||||
@@ -54,11 +127,12 @@ This filter reduces token consumption in long conversations through intelligent
|
||||
| `keep_first` | `1` | Always keep the first N messages (protects system prompts). |
|
||||
| `keep_last` | `6` | Always keep the last N messages to preserve recent context. |
|
||||
| `summary_model` | `None` | Model for summaries. Strongly recommended to set a fast, economical model (e.g., `gemini-2.5-flash`, `deepseek-v3`). Falls back to the current chat model when empty. |
|
||||
| `summary_model_max_context` | `0` | Max context tokens for the summary model. If 0, falls back to `model_thresholds` or global `max_context_tokens`. |
|
||||
| `max_summary_tokens` | `16384` | Maximum tokens for the generated summary. |
|
||||
| `summary_temperature` | `0.3` | Randomness for summary generation. Lower is more deterministic. |
|
||||
| `summary_model_max_context` | `0` | Input context window used to fit summary requests. If `0`, falls back to `model_thresholds` or global `max_context_tokens`. |
|
||||
| `max_summary_tokens` | `16384` | Maximum output length for the generated summary. This is not the summary-input context limit. |
|
||||
| `summary_temperature` | `0.1` | Randomness for summary generation. Lower is more deterministic. |
|
||||
| `model_thresholds` | `{}` | Per-model overrides for `compression_threshold_tokens` and `max_context_tokens` (useful for mixed models). |
|
||||
| `enable_tool_output_trimming` | `false` | When enabled and `function_calling: "native"` is active, trims verbose tool outputs to extract only the final answer. |
|
||||
| `enable_tool_output_trimming` | `true` | When enabled for `function_calling: "native"`, trims oversized native tool outputs while keeping the tool-call chain intact. |
|
||||
| `tool_trim_threshold_chars` | `600` | Trim native tool output blocks once their total content length reaches this threshold. |
|
||||
| `debug_mode` | `false` | Log verbose debug info. Set to `false` in production. |
|
||||
| `show_debug_log` | `false` | Print debug logs to browser console (F12). Useful for frontend debugging. |
|
||||
| `show_token_usage_status` | `true` | Show token usage status notification in the chat interface. |
|
||||
@@ -74,8 +148,12 @@ If this plugin has been useful, a star on [OpenWebUI Extensions](https://github.
|
||||
|
||||
- **Initial system prompt is lost**: Keep `keep_first` greater than 0 to protect the initial message.
|
||||
- **Compression effect is weak**: Raise `compression_threshold_tokens` or lower `keep_first` / `keep_last` to allow more aggressive compression.
|
||||
- **A referenced chat summary fails**: The current request should continue with a direct-context fallback. Check the browser console (`F12`) if you need the upstream failure details.
|
||||
- **A background summary silently seems to do nothing**: Important failures now surface in chat status and the browser console (`F12`).
|
||||
- **Submit an Issue**: If you encounter any problems, please submit an issue on GitHub: [OpenWebUI Extensions Issues](https://github.com/Fu-Jie/openwebui-extensions/issues)
|
||||
|
||||
## Changelog
|
||||
|
||||
See [`v1.5.0` Release Notes](./v1.5.0.md) for the release-specific summary.
|
||||
|
||||
See the full history on GitHub: [OpenWebUI Extensions](https://github.com/Fu-Jie/openwebui-extensions)
|
||||
|
||||
@@ -1,18 +1,21 @@
|
||||
# 异步上下文压缩过滤器
|
||||
|
||||
**作者:** [Fu-Jie](https://github.com/Fu-Jie/openwebui-extensions) | **版本:** 1.3.0 | **项目:** [OpenWebUI Extensions](https://github.com/Fu-Jie/openwebui-extensions) | **许可证:** MIT
|
||||
**作者:** [Fu-Jie](https://github.com/Fu-Jie/openwebui-extensions) | **版本:** 1.5.0 | **项目:** [OpenWebUI Extensions](https://github.com/Fu-Jie/openwebui-extensions) | **许可证:** MIT
|
||||
|
||||
> **重要提示**:为了确保所有过滤器的可维护性和易用性,每个过滤器都应附带清晰、完整的文档,以确保其功能、配置和使用方法得到充分说明。
|
||||
|
||||
本过滤器通过智能摘要和消息压缩技术,在保持对话连贯性的同时,显著降低长对话的 Token 消耗。
|
||||
|
||||
## 1.3.0 版本更新
|
||||
## 1.5.0 版本更新
|
||||
|
||||
- **国际化 (i18n) 支持**: 完成了所有用户可见消息的本地化,现已原生支持 9 种语言(含中、英、日、韩及欧洲主要语言)。
|
||||
- **智能状态显示**: 新增 `token_usage_status_threshold` 阀门(默认 80%),可以智能控制何时显示 Token 用量状态,减少不必要的打扰。
|
||||
- **性能大幅优化**: 对前端语言检测和日志处理流程进行了非阻塞重构,完全不影响首字节响应时间(TTFB),保持毫秒级极速推流。
|
||||
- **Copilot SDK 兼容**: 自动检测并跳过基于 `copilot_sdk` 模型的上下文压缩,避免冲突。
|
||||
- **配置项调整**: 为了提供更安静的生产环境体验,`debug_mode` 现已默认设置为 `false`。
|
||||
- **外部聊天引用摘要**: 新增对引用聊天上下文的摘要支持。现在可以复用缓存摘要、直接注入较小引用聊天,或先为较大的引用聊天生成摘要再注入。
|
||||
- **快速多语言 Token 预估**: 新增混合脚本 Token 预估链路,使 inlet / outlet 的预检可以减少不必要的精确计数,同时比旧的粗略字符比值更接近真实用量。
|
||||
- **更稳健的工作记忆提示词**: 重写 XML 摘要提示词,增强普通聊天、编码任务和连续工具调用场景下的关键信息保留能力。
|
||||
- **更清晰的前端调试日志**: 浏览器控制台日志改为分组化、结构化展示,排查上下文压缩行为更直观。
|
||||
- **更安全的工具裁剪默认值**: 原生工具输出裁剪默认开启,并新增 `tool_trim_threshold_chars` 配置项,默认阈值为 600 字符。
|
||||
- **更稳妥的引用聊天回退**: 当新的引用聊天摘要路径生成失败时,不再拖垮当前请求,而是自动回退为直接注入上下文。
|
||||
- **更准确的摘要预算**: `summary_model_max_context` 现在只负责摘要输入窗口,`max_summary_tokens` 继续只负责摘要输出长度。
|
||||
- **更容易发现摘要失败**: 重要的后台摘要失败现在会强制显示到浏览器控制台 (`F12`),并同步给出状态提示。
|
||||
|
||||
---
|
||||
|
||||
@@ -24,14 +27,84 @@
|
||||
- ✅ **持久化存储**: 复用 Open WebUI 共享数据库连接,自动支持 PostgreSQL/SQLite 等。
|
||||
- ✅ **灵活保留策略**: 可配置保留对话头部和尾部消息,确保关键信息连贯。
|
||||
- ✅ **智能注入**: 将历史摘要智能注入到新上下文中。
|
||||
- ✅ **外部聊天引用摘要**: 支持复用缓存摘要、小聊天直接注入,以及大聊天先摘要后注入。
|
||||
- ✅ **结构感知裁剪**: 智能折叠过长消息,保留文档骨架(标题、首尾)。
|
||||
- ✅ **原生工具输出裁剪**: 支持裁剪冗长的工具调用输出。
|
||||
- ✅ **实时监控**: 实时监控上下文使用情况,超过 90% 发出警告。
|
||||
- ✅ **详细日志**: 提供精确的 Token 统计日志,便于调试。
|
||||
- ✅ **快速预估 + 精确回退**: 提供更快的多语言 Token 预估,并在必要时回退到精确统计,便于调试。
|
||||
- ✅ **智能模型匹配**: 自定义模型自动继承基础模型的阈值配置。
|
||||
- ⚠ **多模态支持**: 图片内容会被保留,但其 Token **不参与计算**。请相应调整阈值。
|
||||
|
||||
详细的工作原理和流程请参考 [工作流程指南](https://github.com/Fu-Jie/openwebui-extensions/blob/main/plugins/filters/async-context-compression/WORKFLOW_GUIDE_CN.md)。
|
||||
详细的工作原理和更长说明仍可参考 [工作流程指南](https://github.com/Fu-Jie/openwebui-extensions/blob/main/plugins/filters/async-context-compression/WORKFLOW_GUIDE_CN.md)。
|
||||
|
||||
---
|
||||
|
||||
## 这次解决了什么问题(通俗版)
|
||||
|
||||
- **问题 1:引用别的聊天时,摘要失败可能把当前对话一起弄挂。**
|
||||
以前如果过滤器需要先帮被引用聊天做摘要,而这一步的 LLM 调用失败了,当前请求也可能直接失败。现在改成了“能摘要就摘要,失败就退回直接塞上下文”,当前对话不会被一起拖死。
|
||||
- **问题 2:有些被引用聊天被截得太早,信息丢得太多。**
|
||||
以前有一段逻辑把 `max_summary_tokens` 这种“输出长度限制”误当成了“输入上下文窗口”,结果大一点的引用聊天会被过早截断。现在改成按摘要模型真实的输入窗口来算,能保留更多有用内容。
|
||||
- **问题 3:后台摘要失败时,用户不容易知道发生了什么。**
|
||||
以前在 `show_debug_log=false` 时,有些后台失败只会留在内部日志里。现在关键失败会强制打到浏览器控制台,并在聊天状态里提醒去看 `F12`。
|
||||
|
||||
---
|
||||
|
||||
## 工作流总览
|
||||
|
||||
该过滤器分为两个阶段:
|
||||
|
||||
1. `inlet`:在请求发送给模型前执行,负责注入已有摘要、处理外部聊天引用、并在必要时裁剪上下文。
|
||||
2. `outlet`:在模型回复完成后异步执行,负责判断是否需要生成新摘要,并在合适时写入数据库。
|
||||
|
||||
```mermaid
|
||||
flowchart TD
|
||||
A[请求进入 inlet] --> B[规范化工具 ID 并按需裁剪超长工具输出]
|
||||
B --> C{是否附带引用聊天?}
|
||||
C -- 否 --> D[如果有当前聊天摘要就先加载]
|
||||
C -- 是 --> E[逐个检查被引用聊天]
|
||||
|
||||
E --> F{已有缓存摘要?}
|
||||
F -- 是 --> G[直接复用缓存摘要]
|
||||
F -- 否 --> H{能直接放进当前预算?}
|
||||
H -- 是 --> I[直接注入完整引用聊天文本]
|
||||
H -- 否 --> J[准备引用聊天的摘要输入]
|
||||
|
||||
J --> K{引用聊天摘要调用成功?}
|
||||
K -- 是 --> L[注入生成后的引用摘要]
|
||||
K -- 否 --> M[回退为直接注入上下文]
|
||||
|
||||
G --> D
|
||||
I --> D
|
||||
L --> D
|
||||
M --> D
|
||||
|
||||
D --> N[为当前聊天构造 Head + Summary + Tail]
|
||||
N --> O{是否超过 max_context_tokens?}
|
||||
O -- 是 --> P[从最旧 atomic groups 开始裁剪]
|
||||
O -- 否 --> Q[把最终上下文发给模型]
|
||||
P --> Q
|
||||
|
||||
Q --> R[模型返回当前回复]
|
||||
R --> S[Outlet 重建完整历史]
|
||||
S --> T{达到压缩阈值了吗?}
|
||||
T -- 否 --> U[结束]
|
||||
T -- 是 --> V[把摘要输入压到摘要模型可接受的上下文窗口]
|
||||
|
||||
V --> W{后台摘要调用成功?}
|
||||
W -- 是 --> X[保存新摘要并更新状态]
|
||||
W -- 否 --> Y[强制输出浏览器控制台错误并提示用户查看]
|
||||
```
|
||||
|
||||
### 关键说明
|
||||
|
||||
- `inlet` 只负责注入和裁剪上下文,不负责生成当前聊天的主摘要。
|
||||
- `outlet` 异步生成摘要,不会阻塞当前回复。
|
||||
- 外部聊天引用可以来自已有持久化摘要、小聊天的完整文本,或动态生成/截断后的引用摘要。
|
||||
- 如果引用聊天摘要失败,会自动回退为直接注入上下文,而不是让当前请求失败。
|
||||
- `summary_model_max_context` 控制摘要输入窗口;`max_summary_tokens` 只控制生成摘要的输出长度。
|
||||
- 重要的后台摘要失败会显示到浏览器控制台 (`F12`) 和聊天状态提示里。
|
||||
- 外部引用消息在裁剪阶段会被特殊保护,避免被最先删除。
|
||||
|
||||
---
|
||||
|
||||
@@ -67,8 +140,8 @@
|
||||
| 参数 | 默认值 | 描述 |
|
||||
| :-------------------- | :------ | :------------------------------------------------------------------------------------------------------------------------------------------ |
|
||||
| `summary_model` | `None` | 用于生成摘要的模型 ID。**强烈建议**配置快速、经济、上下文窗口大的模型(如 `gemini-2.5-flash`、`deepseek-v3`)。留空则尝试复用当前对话模型。 |
|
||||
| `summary_model_max_context` | `0` | 摘要模型的最大上下文 Token 数。如果为 0,则回退到 `model_thresholds` 或全局 `max_context_tokens`。 |
|
||||
| `max_summary_tokens` | `16384` | 生成摘要时允许的最大 Token 数。 |
|
||||
| `summary_model_max_context` | `0` | 摘要请求可使用的输入上下文窗口。如果为 0,则回退到 `model_thresholds` 或全局 `max_context_tokens`。 |
|
||||
| `max_summary_tokens` | `16384` | 生成摘要时允许的最大输出 Token 数。它不是摘要输入窗口上限。 |
|
||||
| `summary_temperature` | `0.1` | 控制摘要生成的随机性,较低的值结果更稳定。 |
|
||||
|
||||
### 高级配置
|
||||
@@ -96,7 +169,8 @@
|
||||
|
||||
| 参数 | 默认值 | 描述 |
|
||||
| :----------------------------- | :------- | :-------------------------------------------------------------------------------------------------------------------------------------- |
|
||||
| `enable_tool_output_trimming` | `false` | 启用时,若 `function_calling: "native"` 激活,将裁剪冗长的工具输出以仅提取最终答案。 |
|
||||
| `enable_tool_output_trimming` | `true` | 启用后(仅在 `function_calling: "native"` 下生效)会裁剪过大的本机工具输出,保留工具调用链结构并以简短占位替换冗长内容。 |
|
||||
| `tool_trim_threshold_chars` | `600` | 当本机工具输出累计字符数达到该值时触发裁剪,适用于包含长文本或表格的工具结果。 |
|
||||
| `debug_mode` | `false` | 是否在 Open WebUI 的控制台日志中打印详细的调试信息。生产环境默认且建议设为 `false`。 |
|
||||
| `show_debug_log` | `false` | 是否在浏览器控制台 (F12) 打印调试日志。便于前端调试。 |
|
||||
| `show_token_usage_status` | `true` | 是否在对话结束时显示 Token 使用情况的状态通知。 |
|
||||
@@ -112,8 +186,12 @@
|
||||
|
||||
- **初始系统提示丢失**:将 `keep_first` 设置为大于 0。
|
||||
- **压缩效果不明显**:提高 `compression_threshold_tokens`,或降低 `keep_first` / `keep_last` 以增强压缩力度。
|
||||
- **引用聊天摘要失败**:当前请求现在应该会继续执行,并回退为直接注入上下文。如果要看上游失败原因,请打开浏览器控制台 (`F12`)。
|
||||
- **后台摘要看起来“没反应”**:重要失败现在会同时出现在状态提示和浏览器控制台 (`F12`) 中。
|
||||
- **提交 Issue**: 如果遇到任何问题,请在 GitHub 上提交 Issue:[OpenWebUI Extensions Issues](https://github.com/Fu-Jie/openwebui-extensions/issues)
|
||||
|
||||
## 更新日志
|
||||
|
||||
请查看 [`v1.5.0` 版本发布说明](./v1.5.0_CN.md) 获取本次版本的独立发布摘要。
|
||||
|
||||
完整历史请查看 GitHub 项目: [OpenWebUI Extensions](https://github.com/Fu-Jie/openwebui-extensions)
|
||||
|
||||
@@ -0,0 +1,315 @@
|
||||
# 📋 Response 结构检查指南
|
||||
|
||||
## 🎯 新增检查点
|
||||
|
||||
在 `_call_summary_llm()` 方法中添加了 **3 个新的响应检查点**,用于前端控制台检查 LLM 调用的完整响应流程。
|
||||
|
||||
### 新增检查点位置
|
||||
|
||||
| # | 检查点名称 | 位置 | 显示内容 |
|
||||
|---|-----------|------|--------|
|
||||
| 1️⃣ | **LLM Response structure** | `generate_chat_completion()` 返回后 | 原始 response 对象的类型、键、结构 |
|
||||
| 2️⃣ | **LLM Summary extracted & cleaned** | 提取并清理 summary 后 | 摘要长度、字数、格式、是否为空 |
|
||||
| 3️⃣ | **Summary saved to database** | 保存到 DB 后验证 | 数据库记录是否正确保存、字段一致性 |
|
||||
|
||||
---
|
||||
|
||||
## 📊 检查点详解
|
||||
|
||||
### 1️⃣ LLM Response structure
|
||||
|
||||
**显示时机**: `generate_chat_completion()` 返回,处理前
|
||||
**用途**: 验证原始响应数据结构
|
||||
|
||||
```
|
||||
📋 [Compression] LLM Response structure (raw from generate_chat_completion)
|
||||
├─ type: "dict" / "Response" / "JSONResponse"
|
||||
├─ has_body: true/false (表示是否为 Response 对象)
|
||||
├─ has_status_code: true/false
|
||||
├─ is_dict: true/false
|
||||
├─ keys: ["choices", "usage", "model", ...] (如果是 dict)
|
||||
├─ first_choice_keys: ["message", "finish_reason", ...]
|
||||
├─ message_keys: ["role", "content"]
|
||||
└─ content_length: 1234 (摘要文本长度)
|
||||
```
|
||||
|
||||
**关键验证**:
|
||||
- ✅ `type` — 应该是 `dict` 或 `JSONResponse`
|
||||
- ✅ `is_dict` — 最终应该是 `true`(处理完毕后)
|
||||
- ✅ `keys` — 应该包含 `choices` 和 `usage`
|
||||
- ✅ `first_choice_keys` — 应该包含 `message`
|
||||
- ✅ `message_keys` — 应该包含 `role` 和 `content`
|
||||
- ✅ `content_length` — 摘要不应该为空(> 0)
|
||||
|
||||
---
|
||||
|
||||
### 2️⃣ LLM Summary extracted & cleaned
|
||||
|
||||
**显示时机**: 从 response 中提取并 strip() 后
|
||||
**用途**: 验证提取的摘要内容质量
|
||||
|
||||
```
|
||||
📋 [Compression] LLM Summary extracted & cleaned
|
||||
├─ type: "str"
|
||||
├─ length_chars: 1234
|
||||
├─ length_words: 156
|
||||
├─ first_100_chars: "用户提问关于......"
|
||||
├─ has_newlines: true
|
||||
├─ newline_count: 3
|
||||
└─ is_empty: false
|
||||
```
|
||||
|
||||
**关键验证**:
|
||||
- ✅ `type` — 应该始终是 `str`
|
||||
- ✅ `is_empty` — 应该是 `false`(不能为空)
|
||||
- ✅ `length_chars` — 通常 100-2000 字符(取决于配置)
|
||||
- ✅ `newline_count` — 多行摘要通常有几个换行符
|
||||
- ✅ `first_100_chars` — 可视化开头内容,检查是否正确
|
||||
|
||||
---
|
||||
|
||||
### 3️⃣ Summary saved to database
|
||||
|
||||
**显示时机**: 保存到 DB 后,重新加载验证
|
||||
**用途**: 确认数据库持久化成功且数据一致
|
||||
|
||||
```
|
||||
📋 [Compression] Summary saved to database (verification)
|
||||
├─ db_id: 42
|
||||
├─ db_chat_id: "chat-abc123..."
|
||||
├─ db_compressed_message_count: 10
|
||||
├─ db_summary_length_chars: 1234
|
||||
├─ db_summary_preview_100: "用户提问关于......"
|
||||
├─ db_created_at: "2024-03-12 15:30:45.123456+00:00"
|
||||
├─ db_updated_at: "2024-03-12 15:35:20.654321+00:00"
|
||||
├─ matches_input_chat_id: true
|
||||
└─ matches_input_compressed_count: true
|
||||
```
|
||||
|
||||
**关键验证** ⭐ 最重要:
|
||||
- ✅ `matches_input_chat_id` — **必须是 `true`**
|
||||
- ✅ `matches_input_compressed_count` — **必须是 `true`**
|
||||
- ✅ `db_summary_length_chars` — 与提取后的长度一致
|
||||
- ✅ `db_updated_at` — 应该是最新时间戳
|
||||
- ✅ `db_id` — 应该有有效的数据库 ID
|
||||
|
||||
---
|
||||
|
||||
## 🔍 如何在前端查看
|
||||
|
||||
### 步骤 1: 启用调试模式
|
||||
|
||||
在 OpenWebUI 中:
|
||||
```
|
||||
Settings → Filters → Async Context Compression
|
||||
↓
|
||||
找到 valve: "show_debug_log"
|
||||
↓
|
||||
勾选启用 + Save
|
||||
```
|
||||
|
||||
### 步骤 2: 打开浏览器控制台
|
||||
|
||||
- **Windows/Linux**: F12 → Console
|
||||
- **Mac**: Cmd + Option + I → Console
|
||||
|
||||
### 步骤 3: 触发摘要生成
|
||||
|
||||
发送足够多的消息使 Filter 触发压缩:
|
||||
```
|
||||
1. 发送 15+ 条消息
|
||||
2. 等待后台摘要任务开始
|
||||
3. 在 Console 观察 📋 日志
|
||||
```
|
||||
|
||||
### 步骤 4: 观察完整流程
|
||||
|
||||
```
|
||||
[1] 📋 LLM Response structure (raw)
|
||||
↓ (显示原始响应类型、结构)
|
||||
[2] 📋 LLM Summary extracted & cleaned
|
||||
↓ (显示提取后的文本信息)
|
||||
[3] 📋 Summary saved to database (verification)
|
||||
↓ (显示数据库保存结果)
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 📈 完整流程验证
|
||||
|
||||
### 优质流程示例 ✅
|
||||
|
||||
```
|
||||
1️⃣ Response structure:
|
||||
- type: "dict"
|
||||
- is_dict: true
|
||||
- has "choices": true
|
||||
- has "usage": true
|
||||
|
||||
2️⃣ Summary extracted:
|
||||
- is_empty: false
|
||||
- length_chars: 1500
|
||||
- length_words: 200
|
||||
|
||||
3️⃣ DB verification:
|
||||
- matches_input_chat_id: true ✅
|
||||
- matches_input_compressed_count: true ✅
|
||||
- db_id: 42 (有效)
|
||||
```
|
||||
|
||||
### 问题流程示例 ❌
|
||||
|
||||
```
|
||||
1️⃣ Response structure:
|
||||
- type: "Response" (需要处理)
|
||||
- has_body: true
|
||||
- (需要解析 body)
|
||||
|
||||
2️⃣ Summary extracted:
|
||||
- is_empty: true ❌ (摘要为空!)
|
||||
- length_chars: 0
|
||||
|
||||
3️⃣ DB verification:
|
||||
- matches_input_chat_id: false ❌ (chat_id 不匹配!)
|
||||
- matches_input_compressed_count: false ❌ (计数不匹配!)
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 🛠️ 调试技巧
|
||||
|
||||
### 快速过滤日志
|
||||
|
||||
在 Console 过滤框输入:
|
||||
```
|
||||
📋 (搜索所有压缩日志)
|
||||
LLM Response (搜索响应相关)
|
||||
Summary extracted (搜索提取摘要)
|
||||
saved to database (搜索保存验证)
|
||||
```
|
||||
|
||||
### 展开表格/对象查看详情
|
||||
|
||||
1. **对象型日志** (console.dir)
|
||||
- 点击左边的 ▶ 符号展开
|
||||
- 逐级查看嵌套字段
|
||||
|
||||
2. **表格型日志** (console.table)
|
||||
- 点击上方的 ▶ 展开
|
||||
- 查看完整列
|
||||
|
||||
### 对比多个日志
|
||||
|
||||
```javascript
|
||||
// 在 Console 中手动对比
|
||||
检查点1: type = "dict", is_dict = true
|
||||
检查点2: is_empty = false, length_chars = 1234
|
||||
检查点3: matches_input_chat_id = true
|
||||
↓
|
||||
如果所有都符合预期 → ✅ 流程正常
|
||||
如果有不符的 → ❌ 检查具体问题
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 🐛 常见问题诊断
|
||||
|
||||
### Q: "type" 是 "Response" 而不是 "dict"?
|
||||
|
||||
**原因**: 某些后端返回 Response 对象而非 dict
|
||||
**解决**: 代码会自动处理,看后续日志是否成功解析
|
||||
|
||||
```
|
||||
检查点1: type = "Response" ← 需要解析
|
||||
↓
|
||||
代码执行 `response.body` 解析
|
||||
↓
|
||||
再次检查是否变为 dict
|
||||
```
|
||||
|
||||
### Q: "is_empty" 是 true?
|
||||
|
||||
**原因**: LLM 没有返回有效的摘要文本
|
||||
**诊断**:
|
||||
1. 检查 `first_100_chars` — 应该有实际内容
|
||||
2. 检查模型是否正确配置
|
||||
3. 检查中间消息是否过多导致 LLM 超时
|
||||
|
||||
### Q: "matches_input_chat_id" 是 false?
|
||||
|
||||
**原因**: 保存到 DB 时 chat_id 不匹配
|
||||
**诊断**:
|
||||
1. 对比 `db_chat_id` 和输入的 `chat_id`
|
||||
2. 可能是数据库连接问题
|
||||
3. 可能是并发修改导致的
|
||||
|
||||
### Q: "matches_input_compressed_count" 是 false?
|
||||
|
||||
**原因**: 保存的消息计数与预期不符
|
||||
**诊断**:
|
||||
1. 对比 `db_compressed_message_count` 和 `saved_compressed_count`
|
||||
2. 检查中间消息是否被意外修改
|
||||
3. 检查原子边界对齐是否正确
|
||||
|
||||
---
|
||||
|
||||
## 📚 相关代码位置
|
||||
|
||||
```python
|
||||
# 文件: async_context_compression.py
|
||||
|
||||
# 检查点 1: 响应结构检查 (L3459)
|
||||
if self.valves.show_debug_log and __event_call__:
|
||||
await self._emit_struct_log(
|
||||
__event_call__,
|
||||
"LLM Response structure (raw from generate_chat_completion)",
|
||||
response_inspection_data,
|
||||
)
|
||||
|
||||
# 检查点 2: 摘要提取检查 (L3524)
|
||||
if self.valves.show_debug_log and __event_call__:
|
||||
await self._emit_struct_log(
|
||||
__event_call__,
|
||||
"LLM Summary extracted & cleaned",
|
||||
summary_inspection,
|
||||
)
|
||||
|
||||
# 检查点 3: 数据库保存检查 (L3168)
|
||||
if self.valves.show_debug_log and __event_call__:
|
||||
await self._emit_struct_log(
|
||||
__event_call__,
|
||||
"Summary saved to database (verification)",
|
||||
save_inspection,
|
||||
)
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 🎯 完整检查清单
|
||||
|
||||
在前端 Console 中验证:
|
||||
|
||||
- [ ] 检查点 1 出现且 `is_dict: true`
|
||||
- [ ] 检查点 1 显示 `first_choice_keys` 包含 `message`
|
||||
- [ ] 检查点 2 出现且 `is_empty: false`
|
||||
- [ ] 检查点 2 显示合理的 `length_chars` (通常 > 100)
|
||||
- [ ] 检查点 3 出现且 `matches_input_chat_id: true`
|
||||
- [ ] 检查点 3 显示 `matches_input_compressed_count: true`
|
||||
- [ ] 所有日志时间戳合理
|
||||
- [ ] 没有异常或错误信息
|
||||
|
||||
---
|
||||
|
||||
## 📞 后续步骤
|
||||
|
||||
1. ✅ 启用调试模式
|
||||
2. ✅ 发送消息触发摘要生成
|
||||
3. ✅ 观察 3 个新检查点
|
||||
4. ✅ 验证所有字段符合预期
|
||||
5. ✅ 如有问题,参考本指南诊断
|
||||
|
||||
---
|
||||
|
||||
**最后更新**: 2024-03-12
|
||||
**相关特性**: Response 结构检查 (v1.4.1+)
|
||||
**文档**: [async_context_compression.py 第 3459, 3524, 3168 行]
|
||||
File diff suppressed because it is too large
Load Diff
BIN
plugins/filters/async-context-compression/image.png
Normal file
BIN
plugins/filters/async-context-compression/image.png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 139 KiB |
@@ -0,0 +1,169 @@
|
||||
# Async Context Compression 核心故障分析与修复总结 (Issue #56)
|
||||
|
||||
Report: <https://github.com/Fu-Jie/openwebui-extensions/issues/56>
|
||||
|
||||
## 1. 问题分析
|
||||
|
||||
### 1.1 Critical: Tool-Calling 结构损坏
|
||||
|
||||
- **故障根源**: 插件在压缩历史消息时采用了“消息感知 (Message-Aware)”而非“结构感知 (Structure-Aware)”的策略。大模型的 `tool-calling` 依赖于 `assistant(tool_calls)` 与紧随其后的 `tool(s)` 消息的严格配对。
|
||||
- **后果**: 如果压缩导致只有 `tool_calls` 被总结,而其对应的 `tool` 结果仍留在上下文,将触发 `No tool call found` 致命错误。
|
||||
|
||||
### 1.2 High: 坐标系偏移导致进度错位
|
||||
|
||||
- **故障根源**: 插件此前使用 `len(messages)` 计算总结进度。由于总结后消息列表变短,旧的索引无法正确映射回原始历史坐标。
|
||||
- **后果**: 导致总结逻辑在对话进行中反复处理重叠的区间,或在某些边界条件下停止推进。
|
||||
|
||||
### 1.3 Medium: 并发竞态与元数据丢失
|
||||
|
||||
- **并发**: 缺乏针对 `chat_id` 的后台任务锁,导致并发请求下可能触发多个 LLM 总结任务。
|
||||
- **元数据**: 消息被折叠为总结块后,其原始的 `id`、`name` 和扩展 `metadata` 彻底消失,破坏了依赖这些指纹的第三方集成。
|
||||
|
||||
---
|
||||
|
||||
## 2. 修复方案 (核心重构)
|
||||
|
||||
### 2.1 引入原子消息组 (Atomic Grouping)
|
||||
|
||||
实现 `_get_atomic_groups` 算法,将 `assistant-tool-assistant` 的调用链识别并标记。确保这些组被**整体保留或整体移除**。
|
||||
|
||||
该算法应用于两处截断路径:
|
||||
|
||||
1. **inlet 阶段**(有 summary / 无 summary 两条路径均已覆盖)
|
||||
2. **outlet 后台 summary 任务**中,当 `middle_messages` 超出 summary model 上下文窗口需要截断时,同样使用原子组删除,防止在进入 LLM 总结前产生孤立的 tool result。(2026-03-09 补丁)
|
||||
|
||||
具体做法:
|
||||
|
||||
- `_get_atomic_groups(messages)` 会把消息扫描成多个“不可拆分单元”。
|
||||
- 当遇到 `assistant` 且带 `tool_calls` 时,开启一个原子组。
|
||||
- 后续所有 `tool` 消息都会被并入这个原子组。
|
||||
- 如果紧跟着出现消费工具结果的 assistant 跟进回复,也会并入同一个原子组。
|
||||
- 这样做之后,裁剪逻辑不再按“单条消息”删除,而是按“整组消息”删除。
|
||||
|
||||
这解决了 Issue #56 最核心的问题:
|
||||
|
||||
- 过去:可能删掉 `assistant(tool_calls)`,却留下 `tool` 结果
|
||||
- 现在:要么整组一起保留,要么整组一起移除
|
||||
|
||||
也就是说,发送给模型的历史上下文不再出现孤立的 `tool_call_id`。
|
||||
|
||||
### 2.1.1 Tail 边界对齐 (Atomic Boundary Alignment)
|
||||
|
||||
除了按组删除之外,还新增了 `_align_tail_start_to_atomic_boundary` 来修正“保留尾部”的起点。
|
||||
|
||||
原因是:即使 `compressed_message_count` 本身来自旧数据或原始计数,如果它刚好落在一个工具调用链中间,直接拿来做 `tail` 起点仍然会造成损坏。
|
||||
|
||||
修复步骤如下:
|
||||
|
||||
1. 先计算理论上的 `raw_start_index`
|
||||
2. 调用 `_align_tail_start_to_atomic_boundary(messages, raw_start_index, protected_prefix)`
|
||||
3. 如果该起点落在某个原子组内部,就自动回退到该组起始位置
|
||||
4. 用修正后的 `start_index` 重建 `tail_messages`
|
||||
|
||||
这个逻辑同时用于:
|
||||
|
||||
- `inlet` 中已存在 summary 时的 tail 重建
|
||||
- `outlet` 中计算 `target_compressed_count`
|
||||
- 后台 summary 任务里计算 `middle_messages` / `tail` 分界线
|
||||
|
||||
因此,修复并不只是“删除时按组删除”,而是连“边界落点”本身都改成结构感知。
|
||||
|
||||
### 2.2 实现单会话异步锁 (Chat Session Lock)
|
||||
|
||||
在 `Filter` 类中维护 `_chat_locks`。在 `outlet` 阶段,如果检测到已有后台任务持有该锁,则自动跳过当前请求,确保一个 `chat_id` 始终只有一个任务在运行。
|
||||
|
||||
具体流程:
|
||||
|
||||
1. `outlet` 先通过 `_get_chat_lock(chat_id)` 取得当前会话的锁对象
|
||||
2. 如果 `chat_lock.locked()` 为真,直接跳过本次后台总结任务
|
||||
3. 如果没有任务在运行,则创建 `_locked_summary_task(...)`
|
||||
4. `_locked_summary_task` 内部用 `async with lock:` 包裹真正的 `_check_and_generate_summary_async(...)`
|
||||
|
||||
这样修复后,同一个会话不会再并发发起多个 summary LLM 调用,也不会出现多个后台任务互相覆盖 `compressed_message_count` 或 summary 内容的情况。
|
||||
|
||||
### 2.3 元数据溯源 (Metadata Traceability)
|
||||
|
||||
重构总结数据的格式化流程:
|
||||
|
||||
- 提取消息 ID (`msg[id]`)、参与者名称 (`msg[name]`) 和关键元数据。
|
||||
- 将这些身份标识以 `[ID: xxx] [Name: yyy]` 的形式注入 LLM 的总结输入。
|
||||
- 增强总结提示词 (Prompt),要求模型按 ID 引用重要行为。
|
||||
|
||||
这里的修复目的不是“恢复被压缩消息的原始对象”,而是尽量保留它们的身份痕迹,降低以下风险:
|
||||
|
||||
- 压缩后 summary 完全失去消息来源
|
||||
- 某段关键决策、工具结果或用户要求在总结中无法追溯
|
||||
- 依赖消息身份的后续分析或人工排查变得困难
|
||||
|
||||
当前实现方式是 `_format_messages_for_summary`:
|
||||
|
||||
- 把每条消息格式化为 `[序号] Role [ID: ...] [Name: ...] [Meta: ...]: content`
|
||||
- 多模态内容会先抽出文本部分再汇总
|
||||
- summary prompt 中明确要求模型保留关键 ID / Name 的可追踪性
|
||||
|
||||
这不能等价替代原始消息对象,但比“直接丢掉所有身份信息后只保留一段自然语言总结”安全很多。
|
||||
|
||||
### 2.4 `max_context_tokens = 0` 语义统一
|
||||
|
||||
Issue #56 里还有一个不太显眼但实际会影响行为的一致性问题:
|
||||
|
||||
- `inlet` 路径已经把 `max_context_tokens <= 0` 视为“无限制,不做裁剪”
|
||||
- 但后台 summary 任务里,之前仍会继续拿 `0` 参与 `estimated_input_tokens > max_context_tokens` 判断
|
||||
|
||||
这会造成前台请求和后台总结对同一配置的解释不一致。
|
||||
|
||||
修复后:
|
||||
|
||||
- `inlet` 与后台 summary 路径统一使用 `<= 0` 表示“no limit”
|
||||
- 当 `max_context_tokens <= 0` 时,后台任务会直接跳过 `middle_messages` 的截断逻辑
|
||||
- 并新增回归测试,确保该行为不会再次退化
|
||||
|
||||
这一步虽然不如 tool-calling 原子化那么显眼,但它解决了“配置含义前后不一致”的稳定性问题。
|
||||
|
||||
### 2.5 tool-output trimming 的风险收敛
|
||||
|
||||
Issue #56 提到原先的 tool-output trimming 可能误伤普通 assistant 内容。对此没有继续扩展一套更复杂的启发式规则,而是采用了更保守的收敛策略:
|
||||
|
||||
- `enable_tool_output_trimming` 默认保持 `False`
|
||||
- 当前 trimming 分支不再主动重写普通 assistant 内容
|
||||
|
||||
这意味着插件优先保证“不误伤正常消息”,而不是冒险做激进裁剪。对于这个 bug 修复阶段,这是一个刻意的稳定性优先决策。
|
||||
|
||||
### 2.6 修复顺序总结
|
||||
|
||||
从实现层面看,这次修复不是单点补丁,而是一组按顺序落下去的结构性改动:
|
||||
|
||||
1. 先把消息从“单条处理”升级为“原子组处理”
|
||||
2. 再把 tail / middle 的边界从“裸索引”升级为“结构感知边界”
|
||||
3. 再加每会话异步锁,堵住并发 summary 覆盖
|
||||
4. 再补 summary 输入格式,让被压缩历史仍保留可追踪身份信息
|
||||
5. 最后统一 `max_context_tokens = 0` 的语义,并加测试防回归
|
||||
|
||||
因此,Issue #56 的修复本质上是:
|
||||
|
||||
把这个过滤器从“按字符串和长度裁剪消息”重构成“按对话结构和上下文契约裁剪消息”。
|
||||
|
||||
---
|
||||
|
||||
## 3. 修复覆盖范围对照表
|
||||
|
||||
| # | 严重级别 | 问题 | 状态 |
|
||||
|---|----------|------|------|
|
||||
| 1 | **Critical** | tool-calling 消息被单条压缩 → `No tool call found` | ✅ inlet 两条路径均已原子化 |
|
||||
| 2 | **High** | `compressed_message_count` 坐标系混用 | ✅ outlet 始终在原始消息空间计算 |
|
||||
| 3 | **Medium** | 无 per-chat 异步锁 | ✅ `_chat_locks` + `asyncio.Lock()` |
|
||||
| 4 | **Medium** | tool-output 修剪过于激进 | ✅ 默认 `False`;循环体已置空 |
|
||||
| 5 | **Medium** | `max_context_tokens = 0` 语义不一致 | ✅ 统一 `<= 0` 表示"无限制" |
|
||||
| 6 | **Low** | 韩语 i18n 字符串混入俄文字符 | ✅ 已替换为纯韩文 |
|
||||
| 7 | **(后发现)** | summary 任务内截断不使用原子组 | ✅ 2026-03-09 补丁:改用 `_get_atomic_groups` |
|
||||
|
||||
## 4. 验证结论
|
||||
|
||||
- **inlet 路径**: `_get_atomic_groups` 贯穿 `inlet` 两条分支,以原子组为单位丢弃消息,永不产生孤立 tool result。
|
||||
- **summary 任务**: 超出上下文限制时,同样以原子组截断 `middle_messages`,保证进入 LLM 的输入完整性。
|
||||
- **并发控制**: `chat_lock.locked()` 确保同一 `chat_id` 同时只有一个总结任务运行。
|
||||
- **元数据**: `_format_messages_for_summary` 以 `[ID: xxx]` 形式保留原始消息身份标识。
|
||||
|
||||
## 5. 后置建议
|
||||
|
||||
该修复旨在将过滤器从“关键词总结”提升到“结构感知代理”的层面。在后续开发中,应继续保持对 OpenWebUI 原生消息指纹的尊重。
|
||||
File diff suppressed because it is too large
Load Diff
24
plugins/filters/async-context-compression/v1.4.0.md
Normal file
24
plugins/filters/async-context-compression/v1.4.0.md
Normal file
@@ -0,0 +1,24 @@
|
||||
[](https://openwebui.com/posts/async_context_compression_b1655bc8)
|
||||
|
||||
## Overview
|
||||
|
||||
This release focuses on improving the structural integrity of chat history when using function-calling models and enhancing task reliability through concurrent task management. It introduces "Atomic Message Grouping" to prevent chat context corruption and a session-based locking mechanism to ensure stable background operations.
|
||||
|
||||
**[📖 README](https://github.com/Fu-Jie/openwebui-extensions/blob/main/plugins/filters/async-context-compression/README.md)**
|
||||
|
||||
## New Features
|
||||
|
||||
- **Atomic Message Grouping**: A new structure-aware logic that identifies and groups `assistant-tool-tool-assistant` calling sequences. This ensures that tool results are never orphaned from their calls during compression.
|
||||
- **Tail Boundary Alignment**: Automatically corrects truncation indices to ensure the recent context "tail" starts at a valid message boundary, preventing partial tool-calling sequences from being sent to the LLM.
|
||||
- **Chat Session Locking**: Implements a per-chat-id asynchronous lock to prevent multiple summary tasks from running concurrently for the same session, reducing redundant LLM calls and race conditions.
|
||||
- **Metadata Traceability**: Summarization inputs now include message IDs, participant names, and key metadata labels, allowing the summary model to maintain better traceability in its output.
|
||||
|
||||
## Bug Fixes
|
||||
|
||||
- **Fixed "No tool call found" Errors**: By enforcing atomic grouping, the filter no longer truncates the context in a way that separates tool calls from their results.
|
||||
- **Improved Progress Calculation**: Fixed an issue where summarizing messages would cause the progress tracking to drift due to shifting list indices.
|
||||
- **Prevented Duplicate Summary Tasks**: The new locking mechanism ensures that only one background summary process is active per session.
|
||||
|
||||
## Related Issues
|
||||
|
||||
- **[#56](https://github.com/Fu-Jie/openwebui-extensions/issues/56)**: Tool-Calling context corruption and concurrent summary tasks.
|
||||
20
plugins/filters/async-context-compression/v1.4.0_CN.md
Normal file
20
plugins/filters/async-context-compression/v1.4.0_CN.md
Normal file
@@ -0,0 +1,20 @@
|
||||
[](https://openwebui.com/posts/async_context_compression_b1655bc8)
|
||||
|
||||
本次发布重点优化了在使用工具调用(Function Calling)模型时对话历史的结构完整性,并通过并发任务管理增强了系统的可靠性。新版本引入了“原子消息组”逻辑以防止上下文损坏,并增加了会话级锁定机制以确保后台任务的稳定运行。
|
||||
|
||||
## 新功能
|
||||
|
||||
- **原子消息组 (Atomic Grouping)**: 引入结构感知的消息处理逻辑,能够识别并成组处理 `assistant-tool-tool-assistant` 调用序列。这确保了在压缩过程中,工具结果永远不会与其调用指令分离。
|
||||
- **尾部边界自动对齐**: 自动修正截断索引,确保保留的“尾部”上下文从合法的消息边界开始,防止将残缺的工具调用序列发送给大模型。
|
||||
- **会话级异步锁**: 为每个 `chat_id` 实现异步锁,防止同一会话并发触发多个总结任务,减少冗余的 LLM 调用并消除竞态条件。
|
||||
- **元数据溯源增强**: 总结输入现在包含消息 ID、参与者名称和关键元数据标签,使总结模型能够在其输出中保持更好的可追踪性。
|
||||
|
||||
## 问题修复
|
||||
|
||||
- **彻底解决 "No tool call found" 错误**: 通过强制执行原子分组,过滤器不再会以分离工具调用及其结果的方式截断上下文。
|
||||
- **优化进度计算**: 修复了总结消息后由于列表索引偏移导致进度跟踪漂移的问题。
|
||||
- **防止重复总结任务**: 新的锁定机制确保每个会话在同一时间只有一个后台总结进程在运行。
|
||||
|
||||
## 相关 Issue
|
||||
|
||||
- **[#56](https://github.com/Fu-Jie/openwebui-extensions/issues/56)**: 修复工具调用上下文损坏及并发总结任务冲突问题。
|
||||
17
plugins/filters/async-context-compression/v1.4.1.md
Normal file
17
plugins/filters/async-context-compression/v1.4.1.md
Normal file
@@ -0,0 +1,17 @@
|
||||
[](https://openwebui.com/f/fujie/async_context_compression)
|
||||
|
||||
## Overview
|
||||
|
||||
This release addresses the critical progress coordinate drift issue in OpenWebUI's `outlet` phase, ensuring robust summarization for long tool-calling conversations.
|
||||
|
||||
[View on GitHub](https://github.com/Fu-Jie/openwebui-extensions/blob/main/plugins/filters/async-context-compression/README.md)
|
||||
|
||||
- **New Features**
|
||||
- **Reverse-Unfolding Mechanism**: Accurately reconstructs the expanded native tool-calling sequence during the outlet phase to permanently fix coordinate drift and missing summaries for long tool-based conversations.
|
||||
- **Safer Tool Trimming**: Refactored `enable_tool_output_trimming` to strictly use atomic block groups for safe trimming, completely preventing JSON payload corruption.
|
||||
|
||||
- **Bug Fixes**
|
||||
- Fixed coordinate drift where `compressed_message_count` could lose track due to OpenWebUI's frontend view truncating tool calls.
|
||||
|
||||
- **Related Issues**
|
||||
- Closes #56
|
||||
27
plugins/filters/async-context-compression/v1.5.0.md
Normal file
27
plugins/filters/async-context-compression/v1.5.0.md
Normal file
@@ -0,0 +1,27 @@
|
||||
[](https://openwebui.com/f/fujie/async_context_compression)
|
||||
|
||||
## Overview
|
||||
|
||||
Compared with the previous git version (`1.4.2`), this release introduces two major new capabilities: external chat reference summarization and a much stronger multilingual token-estimation pipeline. It also improves the reliability of the surrounding summary workflow, especially when provider-side failures occur.
|
||||
|
||||
**[📖 README](https://github.com/Fu-Jie/openwebui-extensions/blob/main/plugins/filters/async-context-compression/README.md)**
|
||||
|
||||
## New Features
|
||||
|
||||
- **External Chat Reference Summaries**: Add support for referenced chat context injection that can reuse cached summaries, inject small referenced chats directly, or generate summaries for larger referenced chats before injection.
|
||||
- **Fast Multilingual Token Estimation**: Replace the old rough `len(text)//4` fallback with a new mixed-script estimation pipeline so preflight decisions stay much closer to actual usage across English, Chinese, Japanese, Korean, Arabic, Cyrillic, Thai, and mixed content.
|
||||
- **Stronger Working-Memory Prompt**: Refined the XML summary prompt so generated working memory preserves more actionable state across general chat, coding tasks, and tool-heavy conversations.
|
||||
- **Clearer Frontend Debug Logs**: Reworked browser-console debug output into grouped structural snapshots that make inlet/outlet state easier to inspect.
|
||||
- **Safer Tool Trimming Defaults**: Enabled native tool-output trimming by default and exposed `tool_trim_threshold_chars` with a 600-character threshold.
|
||||
|
||||
## Bug Fixes
|
||||
|
||||
- **Referenced-Chat Fallback Reliability**: If the new referenced-chat summary path fails, the active request now falls back to direct contextual injection instead of failing the whole chat.
|
||||
- **Correct Summary Budgeting**: Fixed referenced-chat summary preparation so `summary_model_max_context` controls summary-input fitting, while `max_summary_tokens` remains an output cap.
|
||||
- **Visible Background Failures**: Important background summary failures now surface to the browser console and chat status even when `show_debug_log` is disabled.
|
||||
- **Provider Error Surfacing**: Improved summary-call error extraction so non-standard upstream provider error payloads are reported more clearly.
|
||||
|
||||
## Release Notes
|
||||
|
||||
- Bilingual plugin README files and mirrored docs pages were refreshed for the `1.5.0` release.
|
||||
- This release is aimed at reducing silent failure modes and making summary behavior easier to reason about during debugging.
|
||||
27
plugins/filters/async-context-compression/v1.5.0_CN.md
Normal file
27
plugins/filters/async-context-compression/v1.5.0_CN.md
Normal file
@@ -0,0 +1,27 @@
|
||||
[](https://openwebui.com/f/fujie/async_context_compression)
|
||||
|
||||
## 概述
|
||||
|
||||
相较上一个 git 版本(`1.4.2`),本次发布新增了两个重要能力:外部聊天引用摘要,以及更强的多语言 Token 预估链路。同时也补强了围绕这些新能力的摘要流程稳定性,特别是上游提供商报错时的回退与可见性。
|
||||
|
||||
**[📖 README](https://github.com/Fu-Jie/openwebui-extensions/blob/main/plugins/filters/async-context-compression/README_CN.md)**
|
||||
|
||||
## 新功能
|
||||
|
||||
- **外部聊天引用摘要**:新增引用聊天上下文注入能力。现在可以复用缓存摘要、直接注入较小引用聊天,或先为较大的引用聊天生成摘要再注入。
|
||||
- **快速多语言 Token 预估**:用新的混合脚本估算链路替代旧的 `len(text)//4` 粗略回退,使预检在英文、中文、日文、韩文、阿拉伯文、西里尔文、泰文及混合内容下都更接近真实用量。
|
||||
- **更稳健的工作记忆提示词**:重写 XML 摘要提示词,让生成出的 working memory 在普通聊天、编码任务和密集工具调用场景下保留更多可操作上下文。
|
||||
- **更清晰的前端调试日志**:浏览器控制台调试输出改为分组化、结构化展示,更容易观察 inlet / outlet 的真实状态。
|
||||
- **更安全的工具裁剪默认值**:原生工具输出裁剪默认开启,并新增 `tool_trim_threshold_chars`,默认阈值为 600 字符。
|
||||
|
||||
## 问题修复
|
||||
|
||||
- **引用聊天回退更稳妥**:当新的引用聊天摘要路径失败时,当前请求会自动回退为直接注入上下文,而不是整个对话一起失败。
|
||||
- **摘要预算计算更准确**:修复引用聊天摘要准备逻辑,明确由 `summary_model_max_context` 控制摘要输入窗口,而 `max_summary_tokens` 只控制摘要输出长度。
|
||||
- **后台失败更容易发现**:即使关闭 `show_debug_log`,关键后台摘要失败现在也会显示到浏览器控制台和聊天状态提示中。
|
||||
- **提供商错误信息更清晰**:改进摘要调用的错误提取逻辑,让非标准上游错误载荷也能更准确地显示出来。
|
||||
|
||||
## 发布说明
|
||||
|
||||
- 已同步更新中英插件 README 与 docs 镜像页,确保 `1.5.0` 发布说明一致。
|
||||
- 本次版本的目标,是减少“静默失败”这类难排查问题,并让摘要行为在调试时更容易理解。
|
||||
65
plugins/filters/chat-session-mapping-filter/README.md
Normal file
65
plugins/filters/chat-session-mapping-filter/README.md
Normal file
@@ -0,0 +1,65 @@
|
||||
# 🔗 Chat Session Mapping Filter
|
||||
|
||||
**Author:** [Fu-Jie](https://github.com/Fu-Jie) | **Version:** 0.1.0 | **Project:** [OpenWebUI Extensions](https://github.com/Fu-Jie/openwebui-extensions)
|
||||
|
||||
Automatically tracks and persists the mapping between user IDs and chat IDs for seamless session management.
|
||||
|
||||
## Key Features
|
||||
|
||||
🔄 **Automatic Tracking** - Captures user_id and chat_id on every message without manual intervention
|
||||
💾 **Persistent Storage** - Saves mappings to JSON file for session recovery and analytics
|
||||
🛡️ **Atomic Operations** - Uses temporary file writes to prevent data corruption
|
||||
⚙️ **Configurable** - Enable/disable tracking via Valves setting
|
||||
🔍 **Smart Context Extraction** - Safely extracts IDs from multiple source locations (body, metadata, __metadata__)
|
||||
|
||||
## How to Use
|
||||
|
||||
1. **Install the filter** - Add it to your OpenWebUI plugins
|
||||
2. **Enable globally** - No configuration needed; tracking is enabled by default
|
||||
3. **Monitor mappings** - Check `copilot_workspace/api_key_chat_id_mapping.json` for stored mappings
|
||||
|
||||
## Configuration
|
||||
|
||||
| Parameter | Default | Description |
|
||||
|-----------|---------|-------------|
|
||||
| `ENABLE_TRACKING` | `true` | Master switch for chat session mapping tracking |
|
||||
|
||||
## How It Works
|
||||
|
||||
This filter intercepts messages at the **inlet** stage (before processing) and:
|
||||
|
||||
1. **Extracts IDs**: Safely gets user_id from `__user__` and chat_id from `body`/`metadata`
|
||||
2. **Validates**: Confirms both IDs are non-empty before proceeding
|
||||
3. **Persists**: Writes or updates the mapping in a JSON file with atomic file operations
|
||||
4. **Handles Errors**: Gracefully logs warnings if any step fails, without blocking the chat flow
|
||||
|
||||
### Storage Location
|
||||
|
||||
- **Container Environment** (`/app/backend/data` exists):
|
||||
`/app/backend/data/copilot_workspace/api_key_chat_id_mapping.json`
|
||||
|
||||
- **Local Development** (no `/app/backend/data`):
|
||||
`./copilot_workspace/api_key_chat_id_mapping.json`
|
||||
|
||||
### File Format
|
||||
|
||||
Stored as a JSON object with user IDs as keys and chat IDs as values:
|
||||
|
||||
```json
|
||||
{
|
||||
"user-1": "chat-abc-123",
|
||||
"user-2": "chat-def-456",
|
||||
"user-3": "chat-ghi-789"
|
||||
}
|
||||
```
|
||||
|
||||
## Support
|
||||
|
||||
If this plugin has been useful, a star on [OpenWebUI Extensions](https://github.com/Fu-Jie/openwebui-extensions) is a big motivation for me. Thank you for the support.
|
||||
|
||||
## Technical Notes
|
||||
|
||||
- **No Response Modification**: The outlet hook returns the response unchanged
|
||||
- **Atomic Writes**: Prevents partial writes using `.tmp` intermediate files
|
||||
- **Context-Aware ID Extraction**: Handles `__user__` as dict/list/None and metadata from multiple sources
|
||||
- **Logging**: All operations are logged for debugging; enable verbose logging with `SHOW_DEBUG_LOG` in dependent plugins
|
||||
65
plugins/filters/chat-session-mapping-filter/README_CN.md
Normal file
65
plugins/filters/chat-session-mapping-filter/README_CN.md
Normal file
@@ -0,0 +1,65 @@
|
||||
# 🔗 聊天会话映射过滤器
|
||||
|
||||
**作者:** [Fu-Jie](https://github.com/Fu-Jie) | **版本:** 0.1.0 | **项目:** [OpenWebUI Extensions](https://github.com/Fu-Jie/openwebui-extensions)
|
||||
|
||||
自动追踪并持久化用户 ID 与聊天 ID 的映射关系,实现无缝的会话管理。
|
||||
|
||||
## 核心功能
|
||||
|
||||
🔄 **自动追踪** - 无需手动干预,在每条消息上自动捕获 user_id 和 chat_id
|
||||
💾 **持久化存储** - 将映射关系保存到 JSON 文件,便于会话恢复和数据分析
|
||||
🛡️ **原子性操作** - 使用临时文件写入防止数据损坏
|
||||
⚙️ **灵活配置** - 通过 Valves 参数启用/禁用追踪功能
|
||||
🔍 **智能上下文提取** - 从多个数据源(body、metadata、__metadata__)安全提取 ID
|
||||
|
||||
## 使用方法
|
||||
|
||||
1. **安装过滤器** - 将其添加到 OpenWebUI 插件
|
||||
2. **全局启用** - 无需配置,追踪功能默认启用
|
||||
3. **查看映射** - 检查 `copilot_workspace/api_key_chat_id_mapping.json` 中的存储映射
|
||||
|
||||
## 配置参数
|
||||
|
||||
| 参数 | 默认值 | 说明 |
|
||||
|------|--------|------|
|
||||
| `ENABLE_TRACKING` | `true` | 聊天会话映射追踪的主开关 |
|
||||
|
||||
## 工作原理
|
||||
|
||||
该过滤器在 **inlet** 阶段(消息处理前)拦截消息并执行以下步骤:
|
||||
|
||||
1. **提取 ID**: 安全地从 `__user__` 获取 user_id,从 `body`/`metadata` 获取 chat_id
|
||||
2. **验证**: 确认两个 ID 都非空后再继续
|
||||
3. **持久化**: 使用原子文件操作将映射写入或更新 JSON 文件
|
||||
4. **错误处理**: 任何步骤失败时都会优雅地记录警告,不阻断聊天流程
|
||||
|
||||
### 存储位置
|
||||
|
||||
- **容器环境**(存在 `/app/backend/data`):
|
||||
`/app/backend/data/copilot_workspace/api_key_chat_id_mapping.json`
|
||||
|
||||
- **本地开发**(无 `/app/backend/data`):
|
||||
`./copilot_workspace/api_key_chat_id_mapping.json`
|
||||
|
||||
### 文件格式
|
||||
|
||||
存储为 JSON 对象,键是用户 ID,值是聊天 ID:
|
||||
|
||||
```json
|
||||
{
|
||||
"user-1": "chat-abc-123",
|
||||
"user-2": "chat-def-456",
|
||||
"user-3": "chat-ghi-789"
|
||||
}
|
||||
```
|
||||
|
||||
## 支持我们
|
||||
|
||||
如果这个插件对你有帮助,欢迎到 [OpenWebUI Extensions](https://github.com/Fu-Jie/openwebui-extensions) 点个 Star,这将是我持续改进的动力,感谢支持。
|
||||
|
||||
## 技术细节
|
||||
|
||||
- **不修改响应**: outlet 钩子直接返回响应不做修改
|
||||
- **原子写入**: 使用 `.tmp` 临时文件防止不完整的写入
|
||||
- **上下文敏感的 ID 提取**: 处理 `__user__` 为 dict/list/None 的情况,以及来自多个源的 metadata
|
||||
- **日志记录**: 所有操作都会被记录,便于调试;可通过启用依赖插件的 `SHOW_DEBUG_LOG` 查看详细日志
|
||||
@@ -0,0 +1,146 @@
|
||||
"""
|
||||
title: Chat Session Mapping Filter
|
||||
author: Fu-Jie
|
||||
author_url: https://github.com/Fu-Jie/openwebui-extensions
|
||||
funding_url: https://github.com/open-webui
|
||||
version: 0.1.0
|
||||
description: Automatically tracks and persists the mapping between user IDs and chat IDs for session management.
|
||||
"""
|
||||
|
||||
import os
|
||||
import json
|
||||
import logging
|
||||
from pathlib import Path
|
||||
from typing import Optional
|
||||
from pydantic import BaseModel, Field
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
# Determine the chat mapping file location
|
||||
if os.path.exists("/app/backend/data"):
|
||||
CHAT_MAPPING_FILE = Path(
|
||||
"/app/backend/data/copilot_workspace/api_key_chat_id_mapping.json"
|
||||
)
|
||||
else:
|
||||
CHAT_MAPPING_FILE = Path(os.getcwd()) / "copilot_workspace" / "api_key_chat_id_mapping.json"
|
||||
|
||||
|
||||
class Filter:
|
||||
class Valves(BaseModel):
|
||||
ENABLE_TRACKING: bool = Field(
|
||||
default=True,
|
||||
description="Enable chat session mapping tracking."
|
||||
)
|
||||
|
||||
def __init__(self):
|
||||
self.valves = self.Valves()
|
||||
|
||||
def inlet(
|
||||
self,
|
||||
body: dict,
|
||||
__user__: Optional[dict] = None,
|
||||
__metadata__: Optional[dict] = None,
|
||||
**kwargs,
|
||||
) -> dict:
|
||||
"""
|
||||
Inlet hook: Called before message processing.
|
||||
Persists the mapping of user_id to chat_id.
|
||||
"""
|
||||
if not self.valves.ENABLE_TRACKING:
|
||||
return body
|
||||
|
||||
user_id = self._get_user_id(__user__)
|
||||
chat_id = self._get_chat_id(body, __metadata__)
|
||||
|
||||
if user_id and chat_id:
|
||||
self._persist_mapping(user_id, chat_id)
|
||||
|
||||
return body
|
||||
|
||||
def outlet(
|
||||
self,
|
||||
body: dict,
|
||||
response: str,
|
||||
__user__: Optional[dict] = None,
|
||||
__metadata__: Optional[dict] = None,
|
||||
**kwargs,
|
||||
) -> str:
|
||||
"""
|
||||
Outlet hook: No modification to response needed.
|
||||
This filter only tracks mapping on inlet.
|
||||
"""
|
||||
return response
|
||||
|
||||
def _get_user_id(self, __user__: Optional[dict]) -> Optional[str]:
|
||||
"""Safely extract user ID from __user__ parameter."""
|
||||
if isinstance(__user__, (list, tuple)):
|
||||
user_data = __user__[0] if __user__ else {}
|
||||
elif isinstance(__user__, dict):
|
||||
user_data = __user__
|
||||
else:
|
||||
user_data = {}
|
||||
|
||||
return str(user_data.get("id", "")).strip() or None
|
||||
|
||||
def _get_chat_id(
|
||||
self, body: dict, __metadata__: Optional[dict] = None
|
||||
) -> Optional[str]:
|
||||
"""Safely extract chat ID from body or metadata."""
|
||||
chat_id = ""
|
||||
|
||||
# Try to extract from body
|
||||
if isinstance(body, dict):
|
||||
chat_id = body.get("chat_id", "")
|
||||
|
||||
# Fallback: Check body.metadata
|
||||
if not chat_id:
|
||||
body_metadata = body.get("metadata", {})
|
||||
if isinstance(body_metadata, dict):
|
||||
chat_id = body_metadata.get("chat_id", "")
|
||||
|
||||
# Fallback: Check __metadata__
|
||||
if not chat_id and __metadata__ and isinstance(__metadata__, dict):
|
||||
chat_id = __metadata__.get("chat_id", "")
|
||||
|
||||
return str(chat_id).strip() or None
|
||||
|
||||
def _persist_mapping(self, user_id: str, chat_id: str) -> None:
|
||||
"""Persist the user_id to chat_id mapping to file."""
|
||||
try:
|
||||
# Create parent directory if needed
|
||||
CHAT_MAPPING_FILE.parent.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
# Load existing mapping
|
||||
mapping = {}
|
||||
if CHAT_MAPPING_FILE.exists():
|
||||
try:
|
||||
loaded = json.loads(
|
||||
CHAT_MAPPING_FILE.read_text(encoding="utf-8")
|
||||
)
|
||||
if isinstance(loaded, dict):
|
||||
mapping = {str(k): str(v) for k, v in loaded.items()}
|
||||
except Exception as e:
|
||||
logger.warning(
|
||||
f"Failed to read mapping file {CHAT_MAPPING_FILE}: {e}"
|
||||
)
|
||||
|
||||
# Update mapping with current user_id and chat_id
|
||||
mapping[user_id] = chat_id
|
||||
|
||||
# Write to temporary file and atomically replace
|
||||
temp_file = CHAT_MAPPING_FILE.with_suffix(
|
||||
CHAT_MAPPING_FILE.suffix + ".tmp"
|
||||
)
|
||||
temp_file.write_text(
|
||||
json.dumps(mapping, ensure_ascii=False, indent=2, sort_keys=True)
|
||||
+ "\n",
|
||||
encoding="utf-8",
|
||||
)
|
||||
temp_file.replace(CHAT_MAPPING_FILE)
|
||||
|
||||
logger.info(
|
||||
f"Persisted mapping: user_id={user_id} -> chat_id={chat_id}"
|
||||
)
|
||||
|
||||
except Exception as e:
|
||||
logger.warning(f"Failed to persist chat session mapping: {e}")
|
||||
@@ -114,6 +114,7 @@ class Filter:
|
||||
|
||||
# Check if it's a Copilot model
|
||||
is_copilot_model = self._is_copilot_model(current_model)
|
||||
body["is_copilot_model"] = is_copilot_model
|
||||
|
||||
await self._emit_debug_log(
|
||||
__event_emitter__,
|
||||
|
||||
@@ -1,81 +1,90 @@
|
||||
# Markdown Normalizer Filter
|
||||
**Author:** [Fu-Jie](https://github.com/Fu-Jie/openwebui-extensions) | **Version:** 1.2.8 | **Project:** [OpenWebUI Extensions](https://github.com/Fu-Jie/openwebui-extensions) | **License:** MIT
|
||||
|
||||
**Author:** [Fu-Jie](https://github.com/Fu-Jie/openwebui-extensions) | **Version:** 1.2.7 | **Project:** [OpenWebUI Extensions](https://github.com/Fu-Jie/openwebui-extensions) | **License:** MIT
|
||||
|
||||
A content normalizer filter for Open WebUI that fixes common Markdown formatting issues in LLM outputs. It ensures that code blocks, LaTeX formulas, Mermaid diagrams, and other Markdown elements are rendered correctly.
|
||||
A powerful, context-aware content normalizer filter for Open WebUI designed to fix common Markdown formatting issues in LLM outputs. It ensures that code blocks, LaTeX formulas, Mermaid diagrams, and other structural Markdown elements are rendered flawlessly, without destroying valid technical content.
|
||||
|
||||
> 🏆 **Featured by OpenWebUI Official** — This plugin was recommended in the official OpenWebUI Community Newsletter: [January 28, 2026](https://openwebui.com/blog/newsletter-january-28-2026)
|
||||
|
||||
## 🔥 What's New in v1.2.7
|
||||
[English](https://github.com/Fu-Jie/openwebui-extensions/blob/main/plugins/filters/markdown_normalizer/README.md) | [简体中文](https://github.com/Fu-Jie/openwebui-extensions/blob/main/plugins/filters/markdown_normalizer/README_CN.md)
|
||||
|
||||
* **LaTeX Formula Protection**: Enhanced escape character cleaning to protect LaTeX commands like `\times`, `\nu`, and `\theta` from being corrupted.
|
||||
* **Expanded i18n Support**: Now supports 12 languages with automatic detection and fallback.
|
||||
* **Valves Optimization**: Optimized configuration descriptions to be English-only for better consistency.
|
||||
* **Bug Fixes**:
|
||||
* Resolved [Issue #49](https://github.com/Fu-Jie/openwebui-extensions/issues/49): Fixed a bug where consecutive bold parts on the same line caused spaces between them to be removed.
|
||||
* Fixed a `NameError` in the plugin code that caused test collection failures.
|
||||
---
|
||||
|
||||
## 🔥 What's New in v1.2.8
|
||||
* **Safe-by-Default Strategy**: The `enable_escape_fix` feature is now **disabled by default**. This prevents unwanted modifications to valid technical text like Windows file paths (`C:\new\test`) or complex LaTeX formulas.
|
||||
* **LaTeX Parsing Fix**: Improved the logic for identifying display math (`$$ ... $$`). Fixed a bug where LaTeX commands starting with `\n` (like `\nabla`) were incorrectly treated as newlines.
|
||||
* **Reliability Enhancement**: Complete error fallback mechanism. Guarantees 0% data loss during processing.
|
||||
* **Inline Code Protection**: Upgraded escaping logic to protect inline code blocks (`` `...` ``).
|
||||
* **Code Block Escaping Control**: The `enable_escape_fix_in_code_blocks` Valve now correctly targets broken newlines inside code blocks (perfect for fixing flat SQL queries) when enabled.
|
||||
* **Privacy Optimization**: `show_debug_log` now defaults to `False` to prevent console noise.
|
||||
|
||||
---
|
||||
|
||||
## 🚀 Why do you need this plugin? (What does it do?)
|
||||
|
||||
Language Models (LLMs) often generate malformed Markdown due to tokenization artifacts, aggressive escaping, or hallucinated formatting. If you've ever seen:
|
||||
- A `mermaid` diagram fail to render because of missing quotes around labels.
|
||||
- A SQL block stuck on a single line because `\n` was output literally instead of a real newline.
|
||||
- A `<details>` block break the entire chat rendering because of missing newlines.
|
||||
- A LaTeX formula fail because the LLM used `\[` instead of `$$`.
|
||||
|
||||
**This plugin automatically intercepts the LLM's raw output, analyzes its structure, and surgically repairs these formatting errors in real-time before they reach your browser.**
|
||||
|
||||
## ✨ Comprehensive Feature List
|
||||
|
||||
### 1. Advanced Structural Protections (Context-Aware)
|
||||
Before making any changes, the plugin builds a semantic map of the text to protect your technical content:
|
||||
- **Code Block Protection**: Skips formatting inside ` ``` ` code blocks by default to protect code logic.
|
||||
- **Inline Code Protection**: Recognizes `` `code` `` snippets and protects regular expressions and file paths (e.g., `C:\Windows`) from being incorrectly unescaped.
|
||||
- **LaTeX Protection**: Identifies inline (`$`) and block (`$$`) formulas to prevent modifying critical math commands like `\times`, `\theta`, or `\nu`.
|
||||
|
||||
### 2. Auto-Healing Transformations
|
||||
- **Details Tag Normalization**: `<details>` blocks (often used for Chain of Thought) require strict spacing to render correctly. The plugin automatically injects blank lines after `</details>` and self-closing `<details />` tags.
|
||||
- **Mermaid Syntax Fixer**: One of the most common LLM errors is omitting quotes in Mermaid diagrams (e.g., `A --> B(Some text)`). This plugin parses the Mermaid syntax and auto-quotes labels and citations to guarantee the graph renders.
|
||||
- **Emphasis Spacing Fix**: Fixes formatting-breaking extra spaces inside bold/italic markers (e.g., `** text **` becomes `**text**`) while cleverly ignoring math expressions like `2 * 3 * 4`.
|
||||
- **Intelligent Escape Character Cleanup**: Removes excessive literal `\n` and `\t` generated by some models and converts them to actual structural newlines (only in safe text areas).
|
||||
- **LaTeX Standardization**: Automatically upgrades old-school LaTeX delimiters (`\[...\]` and `\(...\)`) to modern Markdown standards (`$$...$$` and `$ ... $`).
|
||||
- **Thought Tag Unification**: Standardizes various model thought outputs (`<think>`, `<thinking>`) into a unified `<thought>` tag.
|
||||
- **Broken Code Block Repair**: Fixes indentation issues, repairs mangled language prefixes (e.g., ` ```python`), and automatically closes unclosed code blocks if a generation was cut off.
|
||||
- **List & Table Formatting**: Injects missing newlines to repair broken numbered lists and adds missing closing pipes (`|`) to tables.
|
||||
- **XML Artifact Cleanup**: Silently removes leftover `<antArtifact>` or `<antThinking>` tags often leaked by Claude models.
|
||||
|
||||
### 3. Reliability & Safety
|
||||
- **100% Rollback Guarantee**: If any normalization logic fails or crashes, the plugin catches the error and silently returns the exact original text, ensuring your chat never breaks.
|
||||
|
||||
## 🌐 Multilingual Support
|
||||
|
||||
Supports automatic interface and status switching for the following languages:
|
||||
The plugin UI and status notifications automatically switch based on your language:
|
||||
`English`, `简体中文`, `繁體中文 (香港)`, `繁體中文 (台灣)`, `한국어`, `日本語`, `Français`, `Deutsch`, `Español`, `Italiano`, `Tiếng Việt`, `Bahasa Indonesia`.
|
||||
|
||||
## ✨ Core Features
|
||||
|
||||
* **Details Tag Normalization**: Ensures proper spacing for `<details>` tags (used for thought chains). Adds a blank line after `</details>` and ensures a newline after self-closing `<details />` tags to prevent rendering issues.
|
||||
* **Emphasis Spacing Fix**: Fixes extra spaces inside emphasis markers (e.g., `** text **` -> `**text**`) which can cause rendering failures. Includes safeguards to protect math expressions (e.g., `2 * 3 * 4`) and list variables.
|
||||
* **Mermaid Syntax Fix**: Automatically fixes common Mermaid syntax errors, such as unquoted node labels (including multi-line labels and citations) and unclosed subgraphs. **New in v1.1.2**: Comprehensive protection for edge labels (text on connecting lines) across all link types (solid, dotted, thick).
|
||||
* **Frontend Console Debugging**: Supports printing structured debug logs directly to the browser console (F12) for easier troubleshooting.
|
||||
* **Code Block Formatting**: Fixes broken code block prefixes, suffixes, and indentation.
|
||||
* **LaTeX Normalization**: Standardizes LaTeX formula delimiters (`\[` -> `$$`, `\(` -> `$`).
|
||||
* **Thought Tag Normalization**: Unifies thought tags (`<think>`, `<thinking>` -> `<thought>`).
|
||||
* **Escape Character Fix**: Cleans up excessive escape characters (`\\n`, `\\t`).
|
||||
* **List Formatting**: Ensures proper newlines in list items.
|
||||
* **Heading Fix**: Adds missing spaces in headings (`#Heading` -> `# Heading`).
|
||||
* **Table Fix**: Adds missing closing pipes in tables.
|
||||
* **XML Cleanup**: Removes leftover XML artifacts.
|
||||
|
||||
## How to Use 🛠️
|
||||
|
||||
1. Install the plugin in Open WebUI.
|
||||
2. Enable the filter globally or for specific models.
|
||||
3. Configure the enabled fixes in the **Valves** settings.
|
||||
4. (Optional) **Show Debug Log** is enabled by default in Valves. This prints structured logs to the browser console (F12).
|
||||
> [!WARNING]
|
||||
> As this is an initial version, some "negative fixes" might occur (e.g., breaking valid Markdown). If you encounter issues, please check the console logs, copy the "Original" vs "Normalized" content, and submit an issue.
|
||||
2. Enable the filter globally or assign it to specific models (highly recommended for models with poor formatting).
|
||||
3. Tune the specific fixes you want via the **Valves** settings.
|
||||
|
||||
## Configuration (Valves) ⚙️
|
||||
|
||||
| Parameter | Default | Description |
|
||||
| :--- | :--- | :--- |
|
||||
| `priority` | `50` | Filter priority. Higher runs later (recommended after other filters). |
|
||||
| `enable_escape_fix` | `True` | Fix excessive escape characters (`\n`, `\t`, etc.). |
|
||||
| `enable_escape_fix_in_code_blocks` | `False` | Apply escape fix inside code blocks (may affect valid code). |
|
||||
| `enable_thought_tag_fix` | `True` | Normalize thought tags (`</thought>`). |
|
||||
| `enable_details_tag_fix` | `True` | Normalize `<details>` tags and add safe spacing. |
|
||||
| `enable_code_block_fix` | `True` | Fix code block formatting (indentation/newlines). |
|
||||
| `enable_latex_fix` | `True` | Normalize LaTeX delimiters (`\[` -> `$$`, `\(` -> `$`). |
|
||||
| `priority` | `50` | Filter priority. Higher runs later (recommended to run this after all other content filters). |
|
||||
| `enable_escape_fix` | `False` | Convert excessive literal escape characters (`\n`, `\t`) to real spacing. (Default: False for safety). |
|
||||
| `enable_escape_fix_in_code_blocks` | `False` | **Pro-tip**: Turn this ON if your SQL/HTML code blocks are constantly printing on a single line. Turn OFF for Python/C++. |
|
||||
| `enable_thought_tag_fix` | `True` | Normalize `<think>` tags. |
|
||||
| `enable_details_tag_fix` | `True` | Normalize `<details>` spacing. |
|
||||
| `enable_code_block_fix` | `True` | Fix code block indentation and newlines. |
|
||||
| `enable_latex_fix` | `True` | Standardize LaTeX delimiters (`\[` -> `$$`). |
|
||||
| `enable_list_fix` | `False` | Fix list item newlines (experimental). |
|
||||
| `enable_unclosed_block_fix` | `True` | Auto-close unclosed code blocks. |
|
||||
| `enable_fullwidth_symbol_fix` | `False` | Fix full-width symbols in code blocks. |
|
||||
| `enable_mermaid_fix` | `True` | Fix common Mermaid syntax errors. |
|
||||
| `enable_heading_fix` | `True` | Fix missing space in headings. |
|
||||
| `enable_table_fix` | `True` | Fix missing closing pipe in tables. |
|
||||
| `enable_xml_tag_cleanup` | `True` | Cleanup leftover XML tags. |
|
||||
| `enable_emphasis_spacing_fix` | `False` | Fix extra spaces in emphasis. |
|
||||
| `show_status` | `True` | Show status notification when fixes are applied. |
|
||||
| `show_debug_log` | `True` | Print debug logs to browser console (F12). |
|
||||
| `enable_mermaid_fix` | `True` | Fix common Mermaid syntax errors (auto-quoting). |
|
||||
| `enable_heading_fix` | `True` | Add missing space after heading hashes (`#Title` -> `# Title`). |
|
||||
| `enable_table_fix` | `True` | Add missing closing pipe in tables. |
|
||||
| `enable_xml_tag_cleanup` | `True` | Remove leftover XML artifacts. |
|
||||
| `enable_emphasis_spacing_fix` | `False` | Fix extra spaces in emphasis formatting. |
|
||||
| `show_status` | `True` | Show UI status notification when a fix is actively applied. |
|
||||
| `show_debug_log` | `False` | Print detailed before/after diffs to browser console (F12). |
|
||||
|
||||
## ⭐ Support
|
||||
|
||||
If this plugin has been useful, a star on [OpenWebUI Extensions](https://github.com/Fu-Jie/openwebui-extensions) is a big motivation for me. Thank you for the support.
|
||||
If this plugin saves your day, a star on [OpenWebUI Extensions](https://github.com/Fu-Jie/openwebui-extensions) is a big motivation for me. Thank you!
|
||||
|
||||
## 🧩 Others
|
||||
|
||||
### Troubleshooting ❓
|
||||
|
||||
* **Submit an Issue**: If you encounter any problems, please submit an issue on GitHub: [OpenWebUI Extensions Issues](https://github.com/Fu-Jie/openwebui-extensions/issues)
|
||||
|
||||
### Changelog
|
||||
|
||||
See the full history on GitHub: [OpenWebUI Extensions](https://github.com/Fu-Jie/openwebui-extensions)
|
||||
* **Troubleshooting**: Encountering "negative fixes"? Enable `show_debug_log`, check your console, and submit an issue on GitHub: [OpenWebUI Extensions Issues](https://github.com/Fu-Jie/openwebui-extensions/issues)
|
||||
|
||||
@@ -1,81 +1,89 @@
|
||||
# Markdown 格式化过滤器 (Markdown Normalizer)
|
||||
|
||||
**作者:** [Fu-Jie](https://github.com/Fu-Jie/openwebui-extensions) | **版本:** 1.2.7 | **项目:** [OpenWebUI Extensions](https://github.com/Fu-Jie/openwebui-extensions) | **许可证:** MIT
|
||||
**作者:** [Fu-Jie](https://github.com/Fu-Jie/openwebui-extensions) | **版本:** 1.2.8 | **项目:** [OpenWebUI Extensions](https://github.com/Fu-Jie/openwebui-extensions) | **许可证:** MIT
|
||||
|
||||
这是一个用于 Open WebUI 的内容格式化过滤器,旨在修复 LLM 输出中常见的 Markdown 格式问题。它能确保代码块、LaTeX 公式、Mermaid 图表和其他 Markdown 元素被正确渲染。
|
||||
这是一个强大的、具备上下文感知的 Markdown 内容规范化过滤器,专为 Open WebUI 设计,旨在实时修复大语言模型 (LLM) 输出中常见的格式错乱问题。它能确保代码块、LaTeX 公式、Mermaid 图表以及其他结构化元素被完美渲染,同时**绝不破坏**你原有的有效技术内容(如代码、正则、路径)。
|
||||
|
||||
> 🏆 **OpenWebUI 官方推荐** — 本插件获得 OpenWebUI 社区 Newsletter 官方推荐:[2026 年 1 月 28 日](https://openwebui.com/blog/newsletter-january-28-2026)
|
||||
|
||||
## 🔥 最新更新 v1.2.7
|
||||
[English](https://github.com/Fu-Jie/openwebui-extensions/blob/main/plugins/filters/markdown_normalizer/README.md) | [简体中文](https://github.com/Fu-Jie/openwebui-extensions/blob/main/plugins/filters/markdown_normalizer/README_CN.md)
|
||||
|
||||
* **LaTeX 公式保护**: 增强了转义字符清理逻辑,自动保护 `$ $` 或 `$$ $$` 内的 LaTeX 命令(如 `\times`、`\nu`、`\theta`),防止渲染失效。
|
||||
* **扩展国际化 (i18n) 支持**: 现已支持 12 种语言,具备自动探测与回退机制。
|
||||
* **配置项优化**: 将 Valves 配置项的描述统一为英文,保持界面一致性。
|
||||
* **修复 Bug**:
|
||||
* 修复了 [Issue #49](https://github.com/Fu-Jie/openwebui-extensions/issues/49):解决了当同一行存在多个加粗部分时,由于正则匹配过于贪婪导致中间内容丢失空格的问题。
|
||||
* 修复了插件代码中的 `NameError` 错误,确保测试脚本能正常运行。
|
||||
---
|
||||
|
||||
## 🔥 最新更新 v1.2.8
|
||||
* **“默认安全”策略 (Safe-by-Default)**:`enable_escape_fix` 功能现在**默认禁用**。这能有效防止插件在未经授权的情况下误改 Windows 路径 (`C:\new\test`) 或复杂的 LaTeX 公式。
|
||||
* **LaTeX 解析优化**:重构了显示数学公式 (`$$ ... $$`) 的识别逻辑。修复了 LaTeX 命令如果以 `\n` 开头(如 `\nabla`)会被错误识别为换行符的 Bug。
|
||||
* **可靠性增强**:实现了完整的错误回滚机制。当修复过程发生意外错误时,保证 100% 返回原始文本,不丢失任何数据。
|
||||
* **配置项修复**:`enable_escape_fix_in_code_blocks` 配置项现在能正确作用于代码块了。**如果您遇到 SQL 挤在一行的问题,只需在设置中手动开启此项即可。**
|
||||
|
||||
---
|
||||
|
||||
## 🚀 为什么你需要这个插件?(它能解决什么问题?)
|
||||
|
||||
由于分词 (Tokenization) 伪影、过度转义或格式幻觉,LLM 经常会生成破损的 Markdown。如果你遇到过以下情况:
|
||||
- `mermaid` 图表因为节点标签缺少双引号而渲染失败、白屏。
|
||||
- LLM 输出的 SQL 语句挤在一行,因为本该换行的地方输出了字面量 `\n`。
|
||||
- 复杂的 `<details>` (思维链展开块) 因为缺少换行符导致整个聊天界面排版崩塌。
|
||||
- LaTeX 数学公式无法显示,因为模型使用了旧版的 `\[` 而不是 Markdown 支持的 `$$`。
|
||||
|
||||
**本插件会自动拦截 LLM 返回的原始数据,实时分析其文本结构,并像外科手术一样精准修复这些排版错误,然后再将其展示在你的浏览器中。**
|
||||
|
||||
## ✨ 核心功能与修复能力全景
|
||||
|
||||
### 1. 高级结构保护 (上下文感知)
|
||||
在执行任何修改前,插件会为整个文本建立语义地图,确保技术性内容不被误伤:
|
||||
- **代码块保护**:默认跳过 ` ``` ` 内部的内容,保护所有编程逻辑。
|
||||
- **行内代码保护**:识别 `` `代码` `` 片段,防止正则表达式(如 `[\n\r]`)或文件路径(如 `C:\Windows`)被错误地去转义。
|
||||
- **LaTeX 公式保护**:识别行内 (`$`) 和块级 (`$$`) 公式,防止诸如 `\times`, `\theta` 等核心数学命令被意外破坏。
|
||||
|
||||
### 2. 自动治愈转换 (Auto-Healing)
|
||||
- **Details 标签排版修复**:`<details>` 块要求极为严格的空行才能正确渲染内部内容。插件会自动在 `</details>` 以及自闭合 `<details />` 标签后注入安全的换行符。
|
||||
- **Mermaid 语法急救**:自动修复最常见的 Mermaid 错误——为未加引号的节点标签(如 `A --> B(Some text)`)自动补充双引号,甚至支持多行标签和引用,确保拓扑图 100% 渲染。
|
||||
- **强调语法间距修复**:修复加粗/斜体语法内部多余的空格(如 `** 文本 **` 变为 `**文本**`,否则 OpenWebUI 无法加粗),同时智能忽略数学算式(如 `2 * 3 * 4`)。
|
||||
- **智能转义字符清理**:将模型过度转义生成的字面量 `\n` 和 `\t` 转化为真正的换行和缩进(仅在安全的纯文本区域执行)。
|
||||
- **LaTeX 现代化转换**:自动将旧式的 LaTeX 定界符(`\[...\]` 和 `\(...\)`)升级为现代 Markdown 标准(`$$...$$` 和 `$ ... $`)。
|
||||
- **思维标签大一统**:无论模型输出的是 `<think>` 还是 `<thinking>`,统一标准化为 `<thought>` 标签。
|
||||
- **残缺代码块修复**:修复乱码的语言前缀(例如 ` ```python`),调整缩进,并在模型回答被截断时,自动补充闭合的 ` ``` `。
|
||||
- **列表与表格急救**:为粘连的编号列表注入换行,为残缺的 Markdown 表格补充末尾的闭合管道符(`|`)。
|
||||
- **XML 伪影消除**:静默移除 Claude 模型经常泄露的 `<antArtifact>` 或 `<antThinking>` 残留标签。
|
||||
|
||||
### 3. 绝对的可靠性与安全 (100% Rollback)
|
||||
- **无损回滚机制**:如果在修复过程中发生任何意外错误或崩溃,插件会立即捕获异常,并静默返回**绝对原始**的文本,确保你的对话永远不会因插件报错而丢失。
|
||||
|
||||
## 🌐 多语言支持 (i18n)
|
||||
|
||||
支持以下语言的界面与状态自动切换:
|
||||
界面的状态提示气泡会根据你的浏览器语言自动切换:
|
||||
`English`, `简体中文`, `繁體中文 (香港)`, `繁體中文 (台灣)`, `한국어`, `日本語`, `Français`, `Deutsch`, `Español`, `Italiano`, `Tiếng Việt`, `Bahasa Indonesia`
|
||||
|
||||
## ✨ 核心特性
|
||||
|
||||
* **Details 标签规范化**: 确保 `<details>` 标签(常用于思维链)有正确的间距。在 `</details>` 后添加空行,并在自闭合 `<details />` 标签后添加换行,防止渲染问题。
|
||||
* **强调空格修复**: 修复强调标记内部的多余空格(例如 `** 文本 **` -> `**文本**`),这会导致 Markdown 渲染失败。包含保护机制,防止误修改数学表达式(如 `2 * 3 * 4`)或列表变量。
|
||||
* **Mermaid 语法修复**: 自动修复常见的 Mermaid 语法错误,如未加引号的节点标签(支持多行标签和引用标记)和未闭合的子图 (Subgraph)。**v1.1.2 新增**: 全面保护各种类型的连线标签(实线、虚线、粗线),防止被误修改。
|
||||
* **前端控制台调试**: 支持将结构化的调试日志直接打印到浏览器控制台 (F12),方便排查问题。
|
||||
* **代码块格式化**: 修复破损的代码块前缀、后缀和缩进问题。
|
||||
* **LaTeX 规范化**: 标准化 LaTeX 公式定界符 (`\[` -> `$$`, `\(` -> `$`)。
|
||||
* **思维标签规范化**: 统一思维链标签 (`<think>`, `<thinking>` -> `<thought>`)。
|
||||
* **转义字符修复**: 清理过度的转义字符 (`\\n`, `\\t`)。
|
||||
* **列表格式化**: 确保列表项有正确的换行。
|
||||
* **标题修复**: 修复标题中缺失的空格 (`#标题` -> `# 标题`)。
|
||||
* **表格修复**: 修复表格中缺失的闭合管道符。
|
||||
* **XML 清理**: 移除残留的 XML 标签。
|
||||
|
||||
## 使用方法
|
||||
## 使用方法 🛠️
|
||||
|
||||
1. 在 Open WebUI 中安装此插件。
|
||||
2. 全局启用或为特定模型启用此过滤器。
|
||||
3. 在 **Valves** 设置中配置需要启用的修复项。
|
||||
4. (可选) **显示调试日志 (Show Debug Log)** 在 Valves 中默认开启。这会将结构化的日志打印到浏览器控制台 (F12)。
|
||||
> [!WARNING]
|
||||
> 由于这是初版,可能会出现“负向修复”的情况(例如破坏了原本正确的格式)。如果您遇到问题,请务必查看控制台日志,复制“原始 (Original)”与“规范化 (Normalized)”的内容对比,并提交 Issue 反馈。
|
||||
2. 全局启用或为特定模型启用此过滤器(强烈建议为格式输出不稳定的模型启用)。
|
||||
3. 在 **Valves (配置参数)** 设置中微调你需要的修复项。
|
||||
|
||||
## 配置参数 (Valves) ⚙️
|
||||
|
||||
| 参数 | 默认值 | 描述 |
|
||||
| :--- | :--- | :--- |
|
||||
| `priority` | `50` | 过滤器优先级。数值越大越靠后(建议在其他过滤器之后运行)。 |
|
||||
| `enable_escape_fix` | `True` | 修复过度的转义字符(`\n`, `\t` 等)。 |
|
||||
| `enable_escape_fix_in_code_blocks` | `False` | 在代码块内应用转义修复(可能影响有效代码)。 |
|
||||
| `enable_thought_tag_fix` | `True` | 规范化思维标签(`</thought>`)。 |
|
||||
| `enable_details_tag_fix` | `True` | 规范化 `<details>` 标签并添加安全间距。 |
|
||||
| `enable_code_block_fix` | `True` | 修复代码块格式(缩进/换行)。 |
|
||||
| `enable_latex_fix` | `True` | 规范化 LaTeX 定界符(`\[` -> `$$`, `\(` -> `$`)。 |
|
||||
| `priority` | `50` | 过滤器优先级。数值越大越靠后(建议放在其他内容过滤器之后运行)。 |
|
||||
| `enable_escape_fix` | `False` | 修复过度的转义字符(将字面量 `\n` 转换为实际换行)。**默认禁用以保证安全。** |
|
||||
| `enable_escape_fix_in_code_blocks` | `False` | **高阶技巧**:如果你的 SQL 或 HTML 代码块总是挤在一行,**请开启此项**。如果你经常写 Python/C++,建议保持关闭。 |
|
||||
| `enable_thought_tag_fix` | `True` | 规范化思维标签为 `<thought>`。 |
|
||||
| `enable_details_tag_fix` | `True` | 修复 `<details>` 标签的排版间距。 |
|
||||
| `enable_code_block_fix` | `True` | 修复代码块前缀、缩进和换行。 |
|
||||
| `enable_latex_fix` | `True` | 规范化 LaTeX 定界符(`\[` -> `$$`)。 |
|
||||
| `enable_list_fix` | `False` | 修复列表项换行(实验性)。 |
|
||||
| `enable_unclosed_block_fix` | `True` | 自动闭合未闭合的代码块。 |
|
||||
| `enable_fullwidth_symbol_fix` | `False` | 修复代码块中的全角符号。 |
|
||||
| `enable_mermaid_fix` | `True` | 修复常见 Mermaid 语法错误。 |
|
||||
| `enable_heading_fix` | `True` | 修复标题中缺失的空格。 |
|
||||
| `enable_unclosed_block_fix` | `True` | 自动闭合被截断的代码块。 |
|
||||
| `enable_mermaid_fix` | `True` | 修复常见 Mermaid 语法错误(如自动加引号)。 |
|
||||
| `enable_heading_fix` | `True` | 修复标题中缺失的空格 (`#Title` -> `# Title`)。 |
|
||||
| `enable_table_fix` | `True` | 修复表格中缺失的闭合管道符。 |
|
||||
| `enable_xml_tag_cleanup` | `True` | 清理残留的 XML 标签。 |
|
||||
| `enable_emphasis_spacing_fix` | `False` | 修复强调语法中的多余空格。 |
|
||||
| `show_status` | `True` | 应用修复时显示状态通知。 |
|
||||
| `show_debug_log` | `True` | 在浏览器控制台打印调试日志。 |
|
||||
| `enable_xml_tag_cleanup` | `True` | 清理残留的 XML 分析标签。 |
|
||||
| `enable_emphasis_spacing_fix` | `False` | 修复强调语法(加粗/斜体)内部的多余空格。 |
|
||||
| `show_status` | `True` | 当触发任何修复规则时,在页面底部显示提示气泡。 |
|
||||
| `show_debug_log` | `False` | 在浏览器控制台 (F12) 打印修改前后的详细对比日志。 |
|
||||
|
||||
## ⭐ 支持
|
||||
如果这个插件拯救了你的排版,欢迎到 [OpenWebUI Extensions](https://github.com/Fu-Jie/openwebui-extensions) 点个 Star,这是我持续改进的最大动力。感谢支持!
|
||||
|
||||
如果这个插件对你有帮助,欢迎到 [OpenWebUI Extensions](https://github.com/Fu-Jie/openwebui-extensions) 点个 Star,这将是我持续改进的动力,感谢支持。
|
||||
|
||||
## 其他
|
||||
|
||||
### 故障排除 (Troubleshooting) ❓
|
||||
|
||||
* **提交 Issue**: 如果遇到任何问题,请在 GitHub 上提交 Issue:[OpenWebUI Extensions Issues](https://github.com/Fu-Jie/openwebui-extensions/issues)
|
||||
|
||||
### 更新日志
|
||||
|
||||
完整历史请查看 GitHub 项目: [OpenWebUI Extensions](https://github.com/Fu-Jie/openwebui-extensions)
|
||||
## 🧩 其他
|
||||
* **故障排除**:遇到“负向修复”(即原本正常的排版被修坏了)?请开启 `show_debug_log`,在 F12 控制台复制出原始文本,并在 GitHub 提交 Issue:[提交 Issue](https://github.com/Fu-Jie/openwebui-extensions/issues)
|
||||
|
||||
@@ -3,7 +3,7 @@ title: Markdown Normalizer
|
||||
author: Fu-Jie
|
||||
author_url: https://github.com/Fu-Jie/openwebui-extensions
|
||||
funding_url: https://github.com/open-webui
|
||||
version: 1.2.7
|
||||
version: 1.2.8
|
||||
openwebui_id: baaa8732-9348-40b7-8359-7e009660e23c
|
||||
description: A content normalizer filter that fixes common Markdown formatting issues in LLM outputs, such as broken code blocks, LaTeX formulas, and list formatting. Including LaTeX command protection.
|
||||
"""
|
||||
@@ -236,7 +236,7 @@ TRANSLATIONS = {
|
||||
class NormalizerConfig:
|
||||
"""Configuration class for enabling/disabling specific normalization rules"""
|
||||
|
||||
enable_escape_fix: bool = True # Fix excessive escape characters
|
||||
enable_escape_fix: bool = False # Fix excessive escape characters (Default False for safety)
|
||||
enable_escape_fix_in_code_blocks: bool = (
|
||||
False # Apply escape fix inside code blocks (default: False for safety)
|
||||
)
|
||||
@@ -456,28 +456,47 @@ class ContentNormalizer:
|
||||
except Exception as e:
|
||||
# Production safeguard: return original content on error
|
||||
logger.error(f"Content normalization failed: {e}", exc_info=True)
|
||||
return content
|
||||
return original_content
|
||||
|
||||
def _fix_escape_characters(self, content: str) -> str:
|
||||
"""Fix excessive escape characters while protecting LaTeX and code blocks."""
|
||||
"""Fix excessive escape characters while protecting LaTeX, code blocks, and inline code."""
|
||||
|
||||
def clean_text(text: str) -> str:
|
||||
# Only fix \n and double backslashes, skip \t as it's dangerous for LaTeX (\times, \theta)
|
||||
# First handle literal escaped newlines
|
||||
text = text.replace("\\r\\n", "\n")
|
||||
text = text.replace("\\n", "\n")
|
||||
|
||||
# Then handle double backslashes that are not followed by n or r
|
||||
# (which would have been part of an escaped newline handled above)
|
||||
# Use regex to replace \\ with \ only if not followed by n or r
|
||||
# But wait, \n is already \n (actual newline) here.
|
||||
# So we can safely replace all remaining \\ with \
|
||||
text = text.replace("\\\\", "\\")
|
||||
return text
|
||||
|
||||
# 1. Protect code blocks
|
||||
# 1. Protect block code
|
||||
parts = content.split("```")
|
||||
for i in range(0, len(parts), 2): # Even indices are text
|
||||
# 2. Protect LaTeX formulas within text
|
||||
# Split by $ to find inline/block math
|
||||
sub_parts = parts[i].split("$")
|
||||
for j in range(0, len(sub_parts), 2): # Even indices are non-math text
|
||||
sub_parts[j] = clean_text(sub_parts[j])
|
||||
|
||||
parts[i] = "$".join(sub_parts)
|
||||
for i in range(0, len(parts)):
|
||||
is_code_block = (i % 2 != 0)
|
||||
if is_code_block and not self.config.enable_escape_fix_in_code_blocks:
|
||||
continue
|
||||
|
||||
if not is_code_block:
|
||||
# 2. Protect inline code
|
||||
inline_parts = parts[i].split("`")
|
||||
for k in range(0, len(inline_parts), 2): # Even indices are non-inline-code text
|
||||
# 3. Protect LaTeX formulas within text (safe for $$ and $)
|
||||
# Use regex to split and keep delimiters
|
||||
sub_parts = re.split(
|
||||
r"(\$\$.*?\$\$|\$.*?\$)", inline_parts[k], flags=re.DOTALL
|
||||
)
|
||||
for j in range(0, len(sub_parts), 2): # Even indices are non-math text
|
||||
sub_parts[j] = clean_text(sub_parts[j])
|
||||
inline_parts[k] = "".join(sub_parts)
|
||||
parts[i] = "`".join(inline_parts)
|
||||
else:
|
||||
# Inside code block and enable_escape_fix_in_code_blocks is True
|
||||
parts[i] = clean_text(parts[i])
|
||||
|
||||
return "```".join(parts)
|
||||
|
||||
@@ -707,8 +726,8 @@ class Filter:
|
||||
description="Priority level (lower = earlier).",
|
||||
)
|
||||
enable_escape_fix: bool = Field(
|
||||
default=True,
|
||||
description="Fix excessive escape characters (\\n, \\t, etc.).",
|
||||
default=False,
|
||||
description="Fix excessive escape characters (\\n, \\t, etc.). Default: False for safety.",
|
||||
)
|
||||
enable_escape_fix_in_code_blocks: bool = Field(
|
||||
default=False,
|
||||
@@ -767,7 +786,7 @@ class Filter:
|
||||
description="Show status notification when fixes are applied.",
|
||||
)
|
||||
show_debug_log: bool = Field(
|
||||
default=True,
|
||||
default=False,
|
||||
description="Print debug logs to browser console (F12).",
|
||||
)
|
||||
|
||||
|
||||
13
plugins/filters/markdown_normalizer/v1.2.8.md
Normal file
13
plugins/filters/markdown_normalizer/v1.2.8.md
Normal file
@@ -0,0 +1,13 @@
|
||||
# v1.2.8 Release Notes
|
||||
|
||||
This release focuses on significantly improving the reliability and safety of the Markdown Normalizer filter, ensuring that it never corrupts valid technical content and elegantly handles unexpected errors.
|
||||
|
||||
## Bug Fixes
|
||||
|
||||
- **Error Fallback Mechanism**: Fixed an issue where the plugin could return partially modified or broken text if an error occurred during normalization. It now guarantees a 100% rollback to the original text upon any failure.
|
||||
- **Inline Code Protection**: Refined the escape character fixing logic to accurately identify and protect inline code blocks (`` `...` ``). This prevents valid technical strings, such as regular expressions (`[\n\r]`) and Windows file paths (`C:\Windows`), from being unintentionally modified.
|
||||
- **Code Block Escaping Control**: Fixed a bug where the `enable_escape_fix_in_code_blocks` Valve setting was ignored. The setting now correctly applies, allowing users to optionally fix broken newlines inside code blocks (e.g., repairing flat SQL queries) when enabled.
|
||||
|
||||
## New Features
|
||||
|
||||
- **Privacy & Log Optimization**: The `show_debug_log` Valve now defaults to `False` instead of `True`. This prevents sensitive chat content from automatically printing to the browser console and reduces unnecessary log noise for general users.
|
||||
13
plugins/filters/markdown_normalizer/v1.2.8_CN.md
Normal file
13
plugins/filters/markdown_normalizer/v1.2.8_CN.md
Normal file
@@ -0,0 +1,13 @@
|
||||
# v1.2.8 版本发布说明
|
||||
|
||||
本次更新重点在于大幅提升 Markdown Normalizer 插件的可靠性与安全性,确保它在任何情况下都不会损坏有效的技术内容,并能优雅地处理各种意外错误。
|
||||
|
||||
## 问题修复
|
||||
|
||||
- **错误回滚机制 (Error Fallback)**:修复了规范化过程中如果发生错误会导致返回残缺或损坏文本的问题。现在,插件在遇到任何异常失败时,保证 100% 回滚并返回原始文本,确保对话内容不丢失。
|
||||
- **内联代码保护 (Inline Code Protection)**:优化了转义字符的修复逻辑,现在能够精准识别并保护内联代码块(`` `...` ``)。这防止了像正则表达式(`[\n\r]`)和 Windows 文件路径(`C:\Windows`)这样的有效技术字符串被意外修改。
|
||||
- **代码块转义控制修复 (Code Block Escaping Control)**:修复了 `enable_escape_fix_in_code_blocks` 配置项失效的 Bug。现在该选项可以正常生效,当开启时,用户可以借此修复代码块内部(例如 SQL 查询语句)因错误转义导致挤在一行的问题。
|
||||
|
||||
## 新功能
|
||||
|
||||
- **隐私与日志优化 (Privacy & Log Optimization)**:`show_debug_log` 的默认值从 `True` 更改为了 `False`。这避免了将可能包含敏感信息的对话内容自动打印到浏览器控制台,并减少了普通用户的日志噪音。
|
||||
@@ -54,6 +54,15 @@ from open_webui.storage.provider import Storage
|
||||
import mimetypes
|
||||
import uuid
|
||||
|
||||
if os.path.exists("/app/backend/data"):
|
||||
CHAT_MAPPING_FILE = Path(
|
||||
"/app/backend/data/copilot_workspace/api_key_chat_id_mapping.json"
|
||||
)
|
||||
else:
|
||||
CHAT_MAPPING_FILE = (
|
||||
Path(os.getcwd()) / "copilot_workspace" / "api_key_chat_id_mapping.json"
|
||||
)
|
||||
|
||||
# Get OpenWebUI version for capability detection
|
||||
try:
|
||||
from open_webui.env import VERSION as open_webui_version
|
||||
@@ -504,16 +513,17 @@ class Pipe:
|
||||
description="BYOK Wire API override.",
|
||||
)
|
||||
|
||||
# ==================== Class-Level Caches ====================
|
||||
# These caches persist across requests since OpenWebUI may create
|
||||
# new Pipe instances for each request.
|
||||
# =============================================================
|
||||
_model_cache: List[dict] = [] # Model list cache
|
||||
_shared_clients: Dict[str, Any] = {} # Map: token_hash -> CopilotClient
|
||||
_shared_client_lock = asyncio.Lock() # Lock for thread-safe client lifecycle
|
||||
_model_cache: List[dict] = [] # Model list cache (Memory only fallback)
|
||||
_standard_model_ids: set = set() # Track standard model IDs
|
||||
_last_byok_config_hash: str = "" # Track BYOK config for cache invalidation
|
||||
_last_model_cache_time: float = 0 # Timestamp of last model cache refresh
|
||||
_last_byok_config_hash: str = "" # Track BYOK config (Status only)
|
||||
_last_model_cache_time: float = 0 # Timestamp
|
||||
_env_setup_done = False # Track if env setup has been completed
|
||||
_last_update_check = 0 # Timestamp of last CLI update check
|
||||
_discovery_cache: Dict[str, Dict[str, Any]] = (
|
||||
{}
|
||||
) # Map config_hash -> {"time": float, "models": list}
|
||||
|
||||
def _is_version_at_least(self, target: str) -> bool:
|
||||
"""Check if OpenWebUI version is at least the target version."""
|
||||
@@ -3918,7 +3928,9 @@ class Pipe:
|
||||
return None
|
||||
return os.path.join(self._get_session_metadata_dir(chat_id), "plan.md")
|
||||
|
||||
def _persist_plan_text(self, chat_id: Optional[str], content: Optional[str]) -> None:
|
||||
def _persist_plan_text(
|
||||
self, chat_id: Optional[str], content: Optional[str]
|
||||
) -> None:
|
||||
"""Persist plan text into the chat-specific session metadata directory."""
|
||||
plan_path = self._get_plan_file_path(chat_id)
|
||||
if not plan_path or not isinstance(content, str):
|
||||
@@ -4876,6 +4888,41 @@ class Pipe:
|
||||
|
||||
return cwd
|
||||
|
||||
def _record_user_chat_mapping(
|
||||
self, user_id: Optional[str], chat_id: Optional[str]
|
||||
) -> None:
|
||||
"""Persist the latest chat_id for the current user."""
|
||||
if not user_id or not chat_id:
|
||||
return
|
||||
|
||||
mapping_file = CHAT_MAPPING_FILE
|
||||
|
||||
try:
|
||||
mapping_file.parent.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
mapping: Dict[str, str] = {}
|
||||
if mapping_file.exists():
|
||||
try:
|
||||
loaded = json.loads(mapping_file.read_text(encoding="utf-8"))
|
||||
if isinstance(loaded, dict):
|
||||
mapping = {str(k): str(v) for k, v in loaded.items()}
|
||||
except Exception as e:
|
||||
logger.warning(
|
||||
f"[Session Tracking] Failed to read mapping file {mapping_file}: {e}"
|
||||
)
|
||||
|
||||
mapping[str(user_id)] = str(chat_id)
|
||||
|
||||
temp_file = mapping_file.with_suffix(mapping_file.suffix + ".tmp")
|
||||
temp_file.write_text(
|
||||
json.dumps(mapping, ensure_ascii=False, indent=2, sort_keys=True)
|
||||
+ "\n",
|
||||
encoding="utf-8",
|
||||
)
|
||||
temp_file.replace(mapping_file)
|
||||
except Exception as e:
|
||||
logger.warning(f"[Session Tracking] Failed to persist mapping: {e}")
|
||||
|
||||
def _build_client_config(self, user_id: str = None, chat_id: str = None) -> dict:
|
||||
"""Build CopilotClient config from valves and request body."""
|
||||
cwd = self._get_workspace_dir(user_id=user_id, chat_id=chat_id)
|
||||
@@ -4908,7 +4955,6 @@ class Pipe:
|
||||
|
||||
# Setup Python Virtual Environment to strictly protect system python
|
||||
if not os.path.exists(f"{venv_dir}/bin/activate"):
|
||||
import subprocess
|
||||
import sys
|
||||
|
||||
subprocess.run(
|
||||
@@ -5423,51 +5469,191 @@ class Pipe:
|
||||
logger.warning(f"[Copilot] Failed to parse UserValves: {e}")
|
||||
return self.UserValves()
|
||||
|
||||
def _format_model_item(self, m: Any, source: str = "copilot") -> Optional[dict]:
|
||||
"""Standardize model item into OpenWebUI pipe format."""
|
||||
try:
|
||||
# 1. Resolve ID
|
||||
mid = m.get("id") if isinstance(m, dict) else getattr(m, "id", "")
|
||||
if not mid:
|
||||
return None
|
||||
|
||||
# 2. Extract Multiplier (billing info)
|
||||
bill = (
|
||||
m.get("billing") if isinstance(m, dict) else getattr(m, "billing", {})
|
||||
)
|
||||
if hasattr(bill, "to_dict"):
|
||||
bill = bill.to_dict()
|
||||
mult = float(bill.get("multiplier", 1.0)) if isinstance(bill, dict) else 1.0
|
||||
|
||||
# 3. Clean ID and build display name
|
||||
cid = self._clean_model_id(mid)
|
||||
|
||||
# Format name based on source
|
||||
if source == "byok":
|
||||
display_name = f"-{cid}"
|
||||
else:
|
||||
display_name = f"-{cid} ({mult}x)" if mult > 0 else f"-🔥 {cid} (0x)"
|
||||
|
||||
return {
|
||||
"id": f"{self.id}-{mid}" if source == "copilot" else mid,
|
||||
"name": display_name,
|
||||
"multiplier": mult,
|
||||
"raw_id": mid,
|
||||
"source": source,
|
||||
"provider": (
|
||||
self._get_provider_name(m) if source == "copilot" else "BYOK"
|
||||
),
|
||||
}
|
||||
except Exception as e:
|
||||
logger.debug(f"[Pipes] Format error for model {m}: {e}")
|
||||
return None
|
||||
|
||||
async def pipes(self, __user__: Optional[dict] = None) -> List[dict]:
|
||||
"""Dynamically fetch and filter model list."""
|
||||
if self.valves.DEBUG:
|
||||
logger.info(f"[Pipes] Called with user context: {bool(__user__)}")
|
||||
|
||||
"""Model discovery: Fetches standard and BYOK models with config-isolated caching."""
|
||||
uv = self._get_user_valves(__user__)
|
||||
token = uv.GH_TOKEN
|
||||
|
||||
# Determine check interval (24 hours default)
|
||||
now = datetime.now().timestamp()
|
||||
needs_setup = not self.__class__._env_setup_done or (
|
||||
now - self.__class__._last_update_check > 86400
|
||||
)
|
||||
|
||||
# 1. Environment Setup (Only if needed or not done)
|
||||
if needs_setup:
|
||||
self._setup_env(token=token)
|
||||
self.__class__._last_update_check = now
|
||||
else:
|
||||
# Still inject token for BYOK real-time updates
|
||||
if token:
|
||||
os.environ["GH_TOKEN"] = os.environ["GITHUB_TOKEN"] = token
|
||||
|
||||
# Get user info for isolation
|
||||
user_data = (
|
||||
__user__[0] if isinstance(__user__, (list, tuple)) else (__user__ or {})
|
||||
)
|
||||
user_id = user_data.get("id") or user_data.get("user_id") or "default_user"
|
||||
|
||||
token = uv.GH_TOKEN or self.valves.GH_TOKEN
|
||||
|
||||
# Multiplier filtering: User can constrain, but not exceed global limit
|
||||
global_max = self.valves.MAX_MULTIPLIER
|
||||
user_max = uv.MAX_MULTIPLIER
|
||||
if user_max is not None:
|
||||
eff_max = min(float(user_max), float(global_max))
|
||||
now = datetime.now().timestamp()
|
||||
cache_ttl = self.valves.MODEL_CACHE_TTL
|
||||
|
||||
# Fingerprint the context so different users/tokens DO NOT evict each other
|
||||
current_config_str = f"{token}|{uv.BYOK_BASE_URL or self.valves.BYOK_BASE_URL}|{uv.BYOK_API_KEY or self.valves.BYOK_API_KEY}|{self.valves.BYOK_BEARER_TOKEN}"
|
||||
current_config_hash = hashlib.md5(current_config_str.encode()).hexdigest()
|
||||
|
||||
# Dictionary-based Cache lookup (Solves the flapping bug)
|
||||
if hasattr(self.__class__, "_discovery_cache"):
|
||||
cached = self.__class__._discovery_cache.get(current_config_hash)
|
||||
if cached and cache_ttl > 0 and (now - cached["time"]) <= cache_ttl:
|
||||
self.__class__._model_cache = cached[
|
||||
"models"
|
||||
] # Update global for pipeline capability fallbacks
|
||||
return self._apply_model_filters(cached["models"], uv)
|
||||
|
||||
# 1. Core discovery logic (Always fresh)
|
||||
results = await asyncio.gather(
|
||||
self._fetch_standard_models(token, __user__),
|
||||
self._fetch_byok_models(uv),
|
||||
return_exceptions=True,
|
||||
)
|
||||
|
||||
standard_results = results[0] if not isinstance(results[0], Exception) else []
|
||||
byok_results = results[1] if not isinstance(results[1], Exception) else []
|
||||
|
||||
# Merge all discovered models
|
||||
all_models = standard_results + byok_results
|
||||
|
||||
# Update local instance cache for validation purposes in _pipe_impl
|
||||
self.__class__._model_cache = all_models
|
||||
|
||||
# Update Config-isolated dict cache
|
||||
if not hasattr(self.__class__, "_discovery_cache"):
|
||||
self.__class__._discovery_cache = {}
|
||||
|
||||
if all_models:
|
||||
self.__class__._discovery_cache[current_config_hash] = {
|
||||
"time": now,
|
||||
"models": all_models,
|
||||
}
|
||||
else:
|
||||
eff_max = float(global_max)
|
||||
# If discovery completely failed, cache for a very short duration (10s) to prevent spam but allow quick recovery
|
||||
self.__class__._discovery_cache[current_config_hash] = {
|
||||
"time": now - cache_ttl + 10,
|
||||
"models": all_models,
|
||||
}
|
||||
|
||||
if self.valves.DEBUG:
|
||||
logger.info(
|
||||
f"[Pipes] Multiplier Filter: User={user_max}, Global={global_max}, Effective={eff_max}"
|
||||
# 2. Return results with real-time user-specific filtering
|
||||
return self._apply_model_filters(all_models, uv)
|
||||
|
||||
async def _get_client(self, token: str) -> Any:
|
||||
"""Get or create the persistent CopilotClient from the pool based on token."""
|
||||
if not token:
|
||||
raise ValueError("GitHub Token is required to initialize CopilotClient")
|
||||
|
||||
# Use an MD5 hash of the token as the key for the client pool
|
||||
token_hash = hashlib.md5(token.encode()).hexdigest()
|
||||
|
||||
async with self.__class__._shared_client_lock:
|
||||
# Check if client exists for this token and is healthy
|
||||
client = self.__class__._shared_clients.get(token_hash)
|
||||
if client:
|
||||
try:
|
||||
state = client.get_state()
|
||||
if state == "connected":
|
||||
return client
|
||||
if state == "error":
|
||||
try:
|
||||
await client.stop()
|
||||
except:
|
||||
pass
|
||||
del self.__class__._shared_clients[token_hash]
|
||||
except Exception:
|
||||
del self.__class__._shared_clients[token_hash]
|
||||
|
||||
# Ensure environment discovery is done
|
||||
if not self.__class__._env_setup_done:
|
||||
self._setup_env(token=token)
|
||||
|
||||
# Build configuration and start persistent client
|
||||
client_config = self._build_client_config(user_id=None, chat_id=None)
|
||||
client_config["github_token"] = token
|
||||
client_config["auto_start"] = True
|
||||
|
||||
new_client = CopilotClient(client_config)
|
||||
await new_client.start()
|
||||
self.__class__._shared_clients[token_hash] = new_client
|
||||
return new_client
|
||||
|
||||
async def _fetch_standard_models(self, token: str, __user__: dict) -> List[dict]:
|
||||
"""Fetch models using the shared persistent client pool."""
|
||||
if not token:
|
||||
return []
|
||||
|
||||
try:
|
||||
client = await self._get_client(token)
|
||||
raw = await client.list_models()
|
||||
|
||||
models = []
|
||||
for m in raw if isinstance(raw, list) else []:
|
||||
formatted = self._format_model_item(m, source="copilot")
|
||||
if formatted:
|
||||
models.append(formatted)
|
||||
|
||||
models.sort(key=lambda x: (x.get("multiplier", 1.0), x.get("raw_id", "")))
|
||||
return models
|
||||
except Exception as e:
|
||||
logger.error(f"[Pipes] Standard fetch failed: {e}")
|
||||
return []
|
||||
|
||||
def _apply_model_filters(
|
||||
self, models: List[dict], uv: "Pipe.UserValves"
|
||||
) -> List[dict]:
|
||||
"""Apply user-defined multiplier and keyword exclusions to the model list."""
|
||||
if not models:
|
||||
# Check if BYOK or GH_TOKEN is configured at all
|
||||
has_byok_config = (uv.BYOK_BASE_URL or self.valves.BYOK_BASE_URL) and (
|
||||
uv.BYOK_API_KEY
|
||||
or self.valves.BYOK_API_KEY
|
||||
or uv.BYOK_BEARER_TOKEN
|
||||
or self.valves.BYOK_BEARER_TOKEN
|
||||
)
|
||||
if not (uv.GH_TOKEN or self.valves.GH_TOKEN) and not has_byok_config:
|
||||
return [
|
||||
{
|
||||
"id": "no_credentials",
|
||||
"name": "⚠️ No credentials configured. Please set GH_TOKEN or BYOK settings in Valves.",
|
||||
}
|
||||
]
|
||||
return [{"id": "warming_up", "name": "Waiting for model discovery..."}]
|
||||
|
||||
# Resolve constraints
|
||||
global_max = getattr(self.valves, "MAX_MULTIPLIER", 1.0)
|
||||
user_max = getattr(uv, "MAX_MULTIPLIER", None)
|
||||
eff_max = (
|
||||
min(float(user_max), float(global_max))
|
||||
if user_max is not None
|
||||
else float(global_max)
|
||||
)
|
||||
|
||||
# Keyword filtering: combine global and user keywords
|
||||
ex_kw = [
|
||||
k.strip().lower()
|
||||
for k in (self.valves.EXCLUDE_KEYWORDS + "," + uv.EXCLUDE_KEYWORDS).split(
|
||||
@@ -5475,189 +5661,31 @@ class Pipe:
|
||||
)
|
||||
if k.strip()
|
||||
]
|
||||
|
||||
# --- NEW: CONFIG-AWARE CACHE INVALIDATION ---
|
||||
# Calculate current config fingerprint to detect changes
|
||||
current_config_str = f"{token}|{uv.BYOK_BASE_URL or self.valves.BYOK_BASE_URL}|{uv.BYOK_API_KEY or self.valves.BYOK_API_KEY}|{self.valves.BYOK_BEARER_TOKEN}"
|
||||
current_config_hash = hashlib.md5(current_config_str.encode()).hexdigest()
|
||||
|
||||
# TTL-based cache expiry
|
||||
cache_ttl = self.valves.MODEL_CACHE_TTL
|
||||
if (
|
||||
self._model_cache
|
||||
and cache_ttl > 0
|
||||
and (now - self.__class__._last_model_cache_time) > cache_ttl
|
||||
):
|
||||
if self.valves.DEBUG:
|
||||
logger.info(
|
||||
f"[Pipes] Model cache expired (TTL={cache_ttl}s). Invalidating."
|
||||
)
|
||||
self.__class__._model_cache = []
|
||||
|
||||
if (
|
||||
self._model_cache
|
||||
and self.__class__._last_byok_config_hash != current_config_hash
|
||||
):
|
||||
if self.valves.DEBUG:
|
||||
logger.info(
|
||||
f"[Pipes] Configuration change detected. Invalidating model cache."
|
||||
)
|
||||
self.__class__._model_cache = []
|
||||
self.__class__._last_byok_config_hash = current_config_hash
|
||||
|
||||
if not self._model_cache:
|
||||
# Update the hash when we refresh the cache
|
||||
self.__class__._last_byok_config_hash = current_config_hash
|
||||
if self.valves.DEBUG:
|
||||
logger.info("[Pipes] Refreshing model cache...")
|
||||
try:
|
||||
# Use effective token for fetching.
|
||||
# If COPILOT_CLI_PATH is missing (e.g. env cleared after worker restart),
|
||||
# force a full re-discovery by resetting _env_setup_done first.
|
||||
if not os.environ.get("COPILOT_CLI_PATH"):
|
||||
self.__class__._env_setup_done = False
|
||||
self._setup_env(token=token)
|
||||
|
||||
# Fetch BYOK models if configured
|
||||
byok = []
|
||||
effective_base_url = uv.BYOK_BASE_URL or self.valves.BYOK_BASE_URL
|
||||
if effective_base_url and (
|
||||
uv.BYOK_API_KEY
|
||||
or self.valves.BYOK_API_KEY
|
||||
or uv.BYOK_BEARER_TOKEN
|
||||
or self.valves.BYOK_BEARER_TOKEN
|
||||
):
|
||||
byok = await self._fetch_byok_models(uv=uv)
|
||||
|
||||
standard = []
|
||||
cli_path = os.environ.get("COPILOT_CLI_PATH", "")
|
||||
cli_ready = bool(cli_path and os.path.exists(cli_path))
|
||||
if token and cli_ready:
|
||||
client_config = {
|
||||
"cli_path": cli_path,
|
||||
"cwd": self._get_workspace_dir(
|
||||
user_id=user_id, chat_id="listing"
|
||||
),
|
||||
}
|
||||
c = CopilotClient(client_config)
|
||||
try:
|
||||
await c.start()
|
||||
raw = await c.list_models()
|
||||
for m in raw if isinstance(raw, list) else []:
|
||||
try:
|
||||
mid = (
|
||||
m.get("id")
|
||||
if isinstance(m, dict)
|
||||
else getattr(m, "id", "")
|
||||
)
|
||||
if not mid:
|
||||
continue
|
||||
|
||||
# Extract multiplier
|
||||
bill = (
|
||||
m.get("billing")
|
||||
if isinstance(m, dict)
|
||||
else getattr(m, "billing", {})
|
||||
)
|
||||
if hasattr(bill, "to_dict"):
|
||||
bill = bill.to_dict()
|
||||
mult = (
|
||||
float(bill.get("multiplier", 1))
|
||||
if isinstance(bill, dict)
|
||||
else 1.0
|
||||
)
|
||||
|
||||
cid = self._clean_model_id(mid)
|
||||
standard.append(
|
||||
{
|
||||
"id": f"{self.id}-{mid}",
|
||||
"name": (
|
||||
f"-{cid} ({mult}x)"
|
||||
if mult > 0
|
||||
else f"-🔥 {cid} (0x)"
|
||||
),
|
||||
"multiplier": mult,
|
||||
"raw_id": mid,
|
||||
"source": "copilot",
|
||||
"provider": self._get_provider_name(m),
|
||||
}
|
||||
)
|
||||
except:
|
||||
pass
|
||||
standard.sort(key=lambda x: (x["multiplier"], x["raw_id"]))
|
||||
self._standard_model_ids = {m["raw_id"] for m in standard}
|
||||
except Exception as e:
|
||||
logger.error(f"[Pipes] Error listing models: {e}")
|
||||
finally:
|
||||
await c.stop()
|
||||
elif token and self.valves.DEBUG:
|
||||
logger.info(
|
||||
"[Pipes] Copilot CLI not ready during listing. Skip standard model probe to avoid blocking startup."
|
||||
)
|
||||
|
||||
self._model_cache = standard + byok
|
||||
self.__class__._last_model_cache_time = now
|
||||
if not self._model_cache:
|
||||
has_byok = bool(
|
||||
(uv.BYOK_BASE_URL or self.valves.BYOK_BASE_URL)
|
||||
and (
|
||||
uv.BYOK_API_KEY
|
||||
or self.valves.BYOK_API_KEY
|
||||
or uv.BYOK_BEARER_TOKEN
|
||||
or self.valves.BYOK_BEARER_TOKEN
|
||||
)
|
||||
)
|
||||
if not token and not has_byok:
|
||||
return [
|
||||
{
|
||||
"id": "no_token",
|
||||
"name": "⚠️ No credentials configured. Please set GH_TOKEN or BYOK settings in Valves.",
|
||||
}
|
||||
]
|
||||
return [
|
||||
{
|
||||
"id": "warming_up",
|
||||
"name": "Copilot CLI is preparing in background. Please retry in a moment.",
|
||||
}
|
||||
]
|
||||
except Exception as e:
|
||||
return [{"id": "error", "name": f"Error: {e}"}]
|
||||
|
||||
# Final pass filtering from cache (applied on every request)
|
||||
res = []
|
||||
# Use a small epsilon for float comparison to avoid precision issues (e.g. 0.33 vs 0.33000001)
|
||||
epsilon = 0.0001
|
||||
|
||||
for m in self._model_cache:
|
||||
# 1. Keyword filter
|
||||
for m in models:
|
||||
mid = (m.get("raw_id") or m.get("id", "")).lower()
|
||||
mname = m.get("name", "").lower()
|
||||
|
||||
# Filter by Keyword
|
||||
if any(kw in mid or kw in mname for kw in ex_kw):
|
||||
continue
|
||||
|
||||
# 2. Multiplier filter (only for standard Copilot models)
|
||||
# Filter by Multiplier (Copilot source only)
|
||||
if m.get("source") == "copilot":
|
||||
m_mult = float(m.get("multiplier", 0))
|
||||
if m_mult > (eff_max + epsilon):
|
||||
if self.valves.DEBUG:
|
||||
logger.debug(
|
||||
f"[Pipes] Filtered {m.get('id')} (Mult: {m_mult} > {eff_max})"
|
||||
)
|
||||
if float(m.get("multiplier", 1.0)) > (eff_max + epsilon):
|
||||
continue
|
||||
|
||||
res.append(m)
|
||||
|
||||
return res if res else [{"id": "none", "name": "No models matched filters"}]
|
||||
|
||||
async def _get_client(self):
|
||||
"""Helper to get or create a CopilotClient instance."""
|
||||
client_config = {}
|
||||
if os.environ.get("COPILOT_CLI_PATH"):
|
||||
client_config["cli_path"] = os.environ["COPILOT_CLI_PATH"]
|
||||
|
||||
client = CopilotClient(client_config)
|
||||
await client.start()
|
||||
return client
|
||||
return (
|
||||
res
|
||||
if res
|
||||
else [
|
||||
{"id": "none", "name": "No models matched your current Valve filters"}
|
||||
]
|
||||
)
|
||||
|
||||
def _setup_env(
|
||||
self,
|
||||
@@ -5666,7 +5694,7 @@ class Pipe:
|
||||
token: str = None,
|
||||
enable_mcp: bool = True,
|
||||
):
|
||||
"""Setup environment variables and resolve Copilot CLI path from SDK bundle."""
|
||||
"""Setup environment variables and resolve the deterministic Copilot CLI path."""
|
||||
|
||||
# 1. Real-time Token Injection (Always updates on each call)
|
||||
effective_token = token or self.valves.GH_TOKEN
|
||||
@@ -5674,42 +5702,30 @@ class Pipe:
|
||||
os.environ["GH_TOKEN"] = os.environ["GITHUB_TOKEN"] = effective_token
|
||||
|
||||
if self._env_setup_done:
|
||||
if debug_enabled:
|
||||
self._sync_mcp_config(
|
||||
__event_call__,
|
||||
debug_enabled,
|
||||
enable_mcp=enable_mcp,
|
||||
)
|
||||
return
|
||||
|
||||
os.environ["COPILOT_AUTO_UPDATE"] = "false"
|
||||
# 2. Deterministic CLI Path Discovery
|
||||
# We prioritize the bundled CLI from the SDK to ensure version compatibility.
|
||||
cli_path = ""
|
||||
try:
|
||||
from copilot.client import _get_bundled_cli_path
|
||||
|
||||
# 2. CLI Path Discovery (priority: env var > PATH > SDK bundle)
|
||||
cli_path = os.environ.get("COPILOT_CLI_PATH", "")
|
||||
found = bool(cli_path and os.path.exists(cli_path))
|
||||
cli_path = _get_bundled_cli_path() or ""
|
||||
except ImportError:
|
||||
pass
|
||||
|
||||
if not found:
|
||||
sys_path = shutil.which("copilot")
|
||||
if sys_path:
|
||||
cli_path = sys_path
|
||||
found = True
|
||||
# Fallback to environment or system PATH only if bundled path is invalid
|
||||
if not cli_path or not os.path.exists(cli_path):
|
||||
cli_path = (
|
||||
os.environ.get("COPILOT_CLI_PATH") or shutil.which("copilot") or ""
|
||||
)
|
||||
|
||||
if not found:
|
||||
try:
|
||||
from copilot.client import _get_bundled_cli_path
|
||||
cli_ready = bool(cli_path and os.path.exists(cli_path))
|
||||
|
||||
bundled_path = _get_bundled_cli_path()
|
||||
if bundled_path and os.path.exists(bundled_path):
|
||||
cli_path = bundled_path
|
||||
found = True
|
||||
except ImportError:
|
||||
pass
|
||||
|
||||
# 3. Finalize
|
||||
cli_ready = found
|
||||
# 3. Finalize Environment
|
||||
if cli_ready:
|
||||
os.environ["COPILOT_CLI_PATH"] = cli_path
|
||||
# Add the CLI's parent directory to PATH so subprocesses can invoke `copilot` directly
|
||||
# Add to PATH for subprocess visibility
|
||||
cli_bin_dir = os.path.dirname(cli_path)
|
||||
current_path = os.environ.get("PATH", "")
|
||||
if cli_bin_dir and cli_bin_dir not in current_path.split(os.pathsep):
|
||||
@@ -5719,7 +5735,7 @@ class Pipe:
|
||||
self.__class__._last_update_check = datetime.now().timestamp()
|
||||
|
||||
self._emit_debug_log_sync(
|
||||
f"Environment setup complete. CLI ready={cli_ready}. Path: {cli_path}",
|
||||
f"Deterministic Env Setup: CLI ready={cli_ready}, Path={cli_path}",
|
||||
__event_call__,
|
||||
debug_enabled=debug_enabled,
|
||||
)
|
||||
@@ -5831,117 +5847,6 @@ class Pipe:
|
||||
|
||||
return text_content, attachments
|
||||
|
||||
def _sync_copilot_config(
|
||||
self, reasoning_effort: str, __event_call__=None, debug_enabled: bool = False
|
||||
):
|
||||
"""
|
||||
Dynamically update config.json if REASONING_EFFORT is set.
|
||||
This provides a fallback if API injection is ignored by the server.
|
||||
"""
|
||||
if not reasoning_effort:
|
||||
return
|
||||
|
||||
effort = reasoning_effort
|
||||
|
||||
try:
|
||||
# Target dynamic config path
|
||||
config_path = os.path.join(self._get_copilot_config_dir(), "config.json")
|
||||
config_dir = os.path.dirname(config_path)
|
||||
|
||||
# Only proceed if directory exists (avoid creating trash types of files if path is wrong)
|
||||
if not os.path.exists(config_dir):
|
||||
return
|
||||
|
||||
data = {}
|
||||
# Read existing config
|
||||
if os.path.exists(config_path):
|
||||
try:
|
||||
with open(config_path, "r") as f:
|
||||
data = json.load(f)
|
||||
except Exception:
|
||||
data = {}
|
||||
|
||||
# Update if changed
|
||||
current_val = data.get("reasoning_effort")
|
||||
if current_val != effort:
|
||||
data["reasoning_effort"] = effort
|
||||
try:
|
||||
with open(config_path, "w") as f:
|
||||
json.dump(data, f, indent=4)
|
||||
|
||||
self._emit_debug_log_sync(
|
||||
f"Dynamically updated config.json: reasoning_effort='{effort}'",
|
||||
__event_call__,
|
||||
debug_enabled=debug_enabled,
|
||||
)
|
||||
except Exception as e:
|
||||
self._emit_debug_log_sync(
|
||||
f"Failed to write config.json: {e}",
|
||||
__event_call__,
|
||||
debug_enabled=debug_enabled,
|
||||
)
|
||||
except Exception as e:
|
||||
self._emit_debug_log_sync(
|
||||
f"Config sync check failed: {e}",
|
||||
__event_call__,
|
||||
debug_enabled=debug_enabled,
|
||||
)
|
||||
|
||||
def _sync_mcp_config(
|
||||
self,
|
||||
__event_call__=None,
|
||||
debug_enabled: bool = False,
|
||||
enable_mcp: bool = True,
|
||||
):
|
||||
"""Sync MCP configuration to dynamic config.json."""
|
||||
path = os.path.join(self._get_copilot_config_dir(), "config.json")
|
||||
|
||||
# If disabled, we should ensure the config doesn't contain stale MCP info
|
||||
if not enable_mcp:
|
||||
if os.path.exists(path):
|
||||
try:
|
||||
with open(path, "r") as f:
|
||||
data = json.load(f)
|
||||
if "mcp_servers" in data:
|
||||
del data["mcp_servers"]
|
||||
with open(path, "w") as f:
|
||||
json.dump(data, f, indent=4)
|
||||
self._emit_debug_log_sync(
|
||||
"MCP disabled: Cleared MCP servers from config.json",
|
||||
__event_call__,
|
||||
debug_enabled,
|
||||
)
|
||||
except:
|
||||
pass
|
||||
return
|
||||
|
||||
mcp = self._parse_mcp_servers(__event_call__, enable_mcp=enable_mcp)
|
||||
if not mcp:
|
||||
return
|
||||
try:
|
||||
path = os.path.join(self._get_copilot_config_dir(), "config.json")
|
||||
os.makedirs(os.path.dirname(path), exist_ok=True)
|
||||
data = {}
|
||||
if os.path.exists(path):
|
||||
try:
|
||||
with open(path, "r") as f:
|
||||
data = json.load(f)
|
||||
except:
|
||||
pass
|
||||
if json.dumps(data.get("mcp_servers"), sort_keys=True) != json.dumps(
|
||||
mcp, sort_keys=True
|
||||
):
|
||||
data["mcp_servers"] = mcp
|
||||
with open(path, "w") as f:
|
||||
json.dump(data, f, indent=4)
|
||||
self._emit_debug_log_sync(
|
||||
f"Synced {len(mcp)} MCP servers to config.json",
|
||||
__event_call__,
|
||||
debug_enabled,
|
||||
)
|
||||
except:
|
||||
pass
|
||||
|
||||
# ==================== Internal Implementation ====================
|
||||
# _pipe_impl() contains the main request handling logic.
|
||||
# ================================================================
|
||||
@@ -5976,6 +5881,8 @@ class Pipe:
|
||||
)
|
||||
is_admin = user_data.get("role") == "admin"
|
||||
|
||||
self._record_user_chat_mapping(user_data.get("id"), __chat_id__)
|
||||
|
||||
# Robustly parse User Valves
|
||||
user_valves = self._get_user_valves(__user__)
|
||||
|
||||
@@ -5993,6 +5900,7 @@ class Pipe:
|
||||
|
||||
effective_debug = self.valves.DEBUG or user_valves.DEBUG
|
||||
effective_token = user_valves.GH_TOKEN or self.valves.GH_TOKEN
|
||||
token = effective_token # For compatibility with _get_client(token)
|
||||
|
||||
# Get Chat ID using improved helper
|
||||
chat_ctx = self._get_chat_context(
|
||||
@@ -6332,26 +6240,21 @@ class Pipe:
|
||||
else:
|
||||
is_byok_model = not has_multiplier and byok_active
|
||||
|
||||
# Mode Selection Info
|
||||
await self._emit_debug_log(
|
||||
f"Mode: {'BYOK' if is_byok_model else 'Standard'}, Reasoning: {is_reasoning}, Admin: {is_admin}",
|
||||
__event_call__,
|
||||
debug_enabled=effective_debug,
|
||||
)
|
||||
|
||||
# Ensure we have the latest config (only for standard Copilot models)
|
||||
if not is_byok_model:
|
||||
self._sync_copilot_config(effective_reasoning_effort, __event_call__)
|
||||
|
||||
# Shared state for delayed HTML embeds (Premium Experience)
|
||||
pending_embeds = []
|
||||
|
||||
# Initialize Client
|
||||
client = CopilotClient(
|
||||
self._build_client_config(user_id=user_id, chat_id=chat_id)
|
||||
)
|
||||
should_stop_client = True
|
||||
# Use Shared Persistent Client Pool (Token-aware)
|
||||
client = await self._get_client(token)
|
||||
should_stop_client = False # Never stop the shared singleton pool!
|
||||
try:
|
||||
await client.start()
|
||||
# Note: client is already started in _get_client
|
||||
|
||||
# Initialize custom tools (Handles caching internally)
|
||||
custom_tools = await self._initialize_custom_tools(
|
||||
@@ -7831,7 +7734,7 @@ class Pipe:
|
||||
# We do not destroy session here to allow persistence,
|
||||
# but we must stop the client.
|
||||
await client.stop()
|
||||
except Exception as e:
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
|
||||
|
||||
@@ -1,11 +1,13 @@
|
||||
# 🧰 OpenWebUI Skills Manager Tool
|
||||
|
||||
**Author:** [Fu-Jie](https://github.com/Fu-Jie) | **Version:** 0.2.1 | **Project:** [OpenWebUI Extensions](https://github.com/Fu-Jie/openwebui-extensions)
|
||||
**Author:** [Fu-Jie](https://github.com/Fu-Jie) | **Version:** 0.3.0 | **Project:** [OpenWebUI Extensions](https://github.com/Fu-Jie/openwebui-extensions)
|
||||
|
||||
A standalone OpenWebUI Tool plugin to manage native **Workspace > Skills** for any model.
|
||||
|
||||
## What's New
|
||||
|
||||
- **🤖 Automatic Repo Root Discovery**: Install any GitHub repo by providing just the root URL (e.g., `https://github.com/owner/repo`). System auto-converts to discovery mode and installs all skills.
|
||||
- **🔄 Batch Deduplication**: Automatically removes duplicate URLs from batch installations and detects duplicate skill names.
|
||||
- Added GitHub skills-directory auto-discovery for `install_skill` (e.g., `.../tree/main/skills`) to install all child skills in one request.
|
||||
- Fixed language detection with robust frontend-first fallback (`__event_call__` + timeout), request header fallback, and profile fallback.
|
||||
|
||||
@@ -15,6 +17,8 @@ A standalone OpenWebUI Tool plugin to manage native **Workspace > Skills** for a
|
||||
- **🛠️ Simple Skill Management**: Directly manage OpenWebUI skill records.
|
||||
- **🔐 User-scoped Safety**: Operates on current user's accessible skills.
|
||||
- **📡 Friendly Status Feedback**: Emits status bubbles for each operation.
|
||||
- **🔍 Auto-Discovery**: Automatically discovers and installs all skills from GitHub repository trees.
|
||||
- **⚙️ Smart Deduplication**: Removes duplicate URLs and detects conflicting skill names during batch installation.
|
||||
|
||||
## How to Use
|
||||
|
||||
@@ -34,7 +38,12 @@ A standalone OpenWebUI Tool plugin to manage native **Workspace > Skills** for a
|
||||
|
||||
## Example: Install Skills
|
||||
|
||||
This tool can fetch and install skills directly from URLs (supporting GitHub tree/blob, raw markdown, and .zip/.tar archives).
|
||||
This tool can fetch and install skills directly from URLs (supporting GitHub repo roots, tree/blob, raw markdown, and .zip/.tar archives).
|
||||
|
||||
### Auto-discover all skills from a GitHub repo
|
||||
|
||||
- "Install skills from <https://github.com/nicobailon/visual-explainer>" ← Auto-discovers all subdirectories
|
||||
- "Install all skills from <https://github.com/anthropics/skills>" ← Installs entire skills directory
|
||||
|
||||
### Install a single skill from GitHub
|
||||
|
||||
@@ -45,15 +54,214 @@ This tool can fetch and install skills directly from URLs (supporting GitHub tre
|
||||
|
||||
- "Install these skills: ['https://github.com/anthropics/skills/tree/main/skills/xlsx', 'https://github.com/anthropics/skills/tree/main/skills/docx']"
|
||||
|
||||
> **Tip**: For GitHub, the tool automatically resolves directory (tree) URLs by looking for `SKILL.md` or `README.md`.
|
||||
> **Tip**: For GitHub, the tool automatically resolves directory (tree) URLs by looking for `SKILL.md`.
|
||||
|
||||
## Installation Logic
|
||||
|
||||
### URL Type Recognition & Processing
|
||||
|
||||
The `install_skill` method automatically detects and handles different URL formats with the following logic:
|
||||
|
||||
#### **1. GitHub Repository Root** (Auto-Discovery)
|
||||
|
||||
**Format:** `https://github.com/owner/repo` or `https://github.com/owner/repo/`
|
||||
|
||||
**Processing:**
|
||||
|
||||
1. Detected via regex: `^https://github\.com/([^/]+)/([^/]+)/?$`
|
||||
2. Automatically converted to: `https://github.com/owner/repo/tree/main`
|
||||
3. API queries all subdirectories at `/repos/{owner}/{repo}/contents?ref=main`
|
||||
4. For each subdirectory, creates skill URLs
|
||||
5. Attempts to fetch `SKILL.md` from each directory
|
||||
6. All discovered skills installed in **batch mode**
|
||||
|
||||
**Example Flow:**
|
||||
|
||||
```
|
||||
Input: https://github.com/nicobailon/visual-explainer
|
||||
↓ [Detect: repo root]
|
||||
↓ [Convert: add /tree/main]
|
||||
↓ [Query: GitHub API for subdirs]
|
||||
Discover: skill1, skill2, skill3, ...
|
||||
↓ [Batch mode]
|
||||
Install: All skills found
|
||||
```
|
||||
|
||||
#### **2. GitHub Tree (Directory) URL** (Auto-Discovery)
|
||||
|
||||
**Format:** `https://github.com/owner/repo/tree/branch/path/to/directory`
|
||||
|
||||
**Processing:**
|
||||
|
||||
1. Detected via regex: `/tree/` in URL
|
||||
2. API queries directory contents: `/repos/{owner}/{repo}/contents/path?ref=branch`
|
||||
3. Filters for subdirectories (skips `.hidden` dirs)
|
||||
4. For each subdirectory, attempts to fetch `SKILL.md`
|
||||
5. All discovered skills installed in **batch mode**
|
||||
|
||||
**Example:**
|
||||
|
||||
```
|
||||
Input: https://github.com/anthropics/skills/tree/main/skills
|
||||
↓ [Query: /repos/anthropics/skills/contents/skills?ref=main]
|
||||
Discover: xlsx, docx, pptx, markdown, ...
|
||||
Install: All 12 skills in batch mode
|
||||
```
|
||||
|
||||
#### **3. GitHub Blob (File) URL** (Single Install)
|
||||
|
||||
**Format:** `https://github.com/owner/repo/blob/branch/path/to/SKILL.md`
|
||||
|
||||
**Processing:**
|
||||
|
||||
1. Detected via pattern: `/blob/` in URL
|
||||
2. Converted to raw URL: `https://raw.githubusercontent.com/owner/repo/branch/path/to/SKILL.md`
|
||||
3. Content fetched and parsed as single skill
|
||||
4. Installed in **single mode**
|
||||
|
||||
**Example:**
|
||||
|
||||
```
|
||||
Input: https://github.com/user/repo/blob/main/SKILL.md
|
||||
↓ [Convert: /blob/ → raw.githubusercontent.com]
|
||||
↓ [Fetch: raw markdown content]
|
||||
Parse: Skill name, description, content
|
||||
Install: Single skill
|
||||
```
|
||||
|
||||
#### **4. Raw GitHub URL** (Single Install)
|
||||
|
||||
**Format:** `https://raw.githubusercontent.com/owner/repo/branch/path/to/SKILL.md`
|
||||
|
||||
**Processing:**
|
||||
|
||||
1. Direct download from raw content endpoint
|
||||
2. Content parsed as markdown with frontmatter
|
||||
3. Skill metadata extracted (name, description from frontmatter)
|
||||
4. Installed in **single mode**
|
||||
|
||||
**Example:**
|
||||
|
||||
```
|
||||
Input: https://raw.githubusercontent.com/Fu-Jie/openwebui-extensions/main/SKILL.md
|
||||
↓ [Fetch: raw content directly]
|
||||
Parse: Extract metadata
|
||||
Install: Single skill
|
||||
```
|
||||
|
||||
#### **5. Archive Files** (Single Install)
|
||||
|
||||
**Format:** `https://example.com/skill.zip` or `.tar`, `.tar.gz`, `.tgz`
|
||||
|
||||
**Processing:**
|
||||
|
||||
1. Detected via file extension: `.zip`, `.tar`, `.tar.gz`, `.tgz`
|
||||
2. Downloaded and extracted safely:
|
||||
- Validates member paths (prevents path traversal attacks)
|
||||
- Extracts to temporary directory
|
||||
3. Searches for `SKILL.md` in archive root
|
||||
4. Content parsed and installed in **single mode**
|
||||
|
||||
**Example:**
|
||||
|
||||
```
|
||||
Input: https://github.com/user/repo/releases/download/v1.0/my-skill.zip
|
||||
↓ [Download: zip archive]
|
||||
↓ [Extract safely: validate paths]
|
||||
↓ [Search: SKILL.md]
|
||||
Parse: Extract metadata
|
||||
Install: Single skill
|
||||
```
|
||||
|
||||
### Batch Mode vs Single Mode
|
||||
|
||||
| Mode | Triggered By | Behavior | Result |
|
||||
|------|--------------|----------|--------|
|
||||
| **Batch** | Repo root or tree URL | All subdirectories auto-discovered | List of { succeeded, failed, results } |
|
||||
| **Single** | Blob, raw, or archive URL | Direct content fetch and parse | { success, id, name, ... } |
|
||||
| **Batch** | List of URLs | Each URL processed individually | List of results |
|
||||
|
||||
### Deduplication During Batch Install
|
||||
|
||||
When multiple URLs are provided in batch mode:
|
||||
|
||||
1. **URL Deduplication**: Removes duplicate URLs (preserves order)
|
||||
2. **Name Collision Detection**: Tracks installed skill names
|
||||
- If same name appears multiple times → warning notification
|
||||
- Action depends on `ALLOW_OVERWRITE_ON_CREATE` valve
|
||||
|
||||
**Example:**
|
||||
|
||||
```
|
||||
Input URLs: [url1, url1, url2, url2, url3]
|
||||
↓ [Deduplicate]
|
||||
Unique: [url1, url2, url3]
|
||||
Process: 3 URLs
|
||||
Output: "Removed 2 duplicate URL(s)"
|
||||
```
|
||||
|
||||
### Skill Name Resolution
|
||||
|
||||
During parsing, skill names are resolved in this order:
|
||||
|
||||
1. **User-provided name** (if specified in `name` parameter)
|
||||
2. **Frontmatter metadata** (from `---` block at file start)
|
||||
3. **Markdown h1 heading** (first `# Title` found)
|
||||
4. **Extracted directory/file name** (from URL path)
|
||||
5. **Fallback name:** `"installed-skill"` (last resort)
|
||||
|
||||
**Example:**
|
||||
|
||||
```
|
||||
Markdown document structure:
|
||||
───────────────────────────
|
||||
---
|
||||
title: "My Custom Skill"
|
||||
description: "Does something useful"
|
||||
---
|
||||
|
||||
# Alternative Title
|
||||
|
||||
Content here...
|
||||
───────────────────────────
|
||||
|
||||
Resolution order:
|
||||
1. Check frontmatter: title = "My Custom Skill" ✓ Use this
|
||||
2. (Skip other options)
|
||||
|
||||
Result: Skill created as "My Custom Skill"
|
||||
```
|
||||
|
||||
### Safety & Security
|
||||
|
||||
All installations enforce:
|
||||
|
||||
- ✅ **Domain Whitelist** (TRUSTED_DOMAINS): Only github.com, huggingface.co, githubusercontent.com allowed
|
||||
- ✅ **Scheme Validation**: Only http/https URLs accepted
|
||||
- ✅ **Path Traversal Prevention**: Archives validated before extraction
|
||||
- ✅ **User Scope**: Operations isolated per user_id
|
||||
- ✅ **Timeout Protection**: Configurable timeout (default 12s)
|
||||
|
||||
### Error Handling
|
||||
|
||||
| Error Case | Handling |
|
||||
|-----------|----------|
|
||||
| Unsupported scheme (ftp://, file://) | Blocked at validation |
|
||||
| Untrusted domain | Rejected (domain not in whitelist) |
|
||||
| URL fetch timeout | Timeout error with retry suggestion |
|
||||
| Invalid archive | Error on extraction attempt |
|
||||
| No SKILL.md found | Error per subdirectory (batch continues) |
|
||||
| Duplicate skill name | Warning notification (depends on valve) |
|
||||
| Missing skill name | Error (name is required) |
|
||||
|
||||
## Configuration (Valves)
|
||||
|
||||
| Parameter | Default | Description |
|
||||
| --- | ---: | --- |
|
||||
| --- | --- | --- |
|
||||
| `SHOW_STATUS` | `True` | Show operation status updates in OpenWebUI status bar. |
|
||||
| `ALLOW_OVERWRITE_ON_CREATE` | `False` | Allow `create_skill`/`install_skill` to overwrite same-name skill by default. |
|
||||
| `INSTALL_FETCH_TIMEOUT` | `12.0` | URL fetch timeout in seconds for skill installation. |
|
||||
| `TRUSTED_DOMAINS` | `github.com,huggingface.co,githubusercontent.com` | Comma-separated list of primary trusted domains for downloads (always enforced). Subdomains automatically allowed (e.g., `github.com` allows `api.github.com`). See [Domain Whitelist Guide](docs/DOMAIN_WHITELIST.md). |
|
||||
|
||||
## Supported Tool Methods
|
||||
|
||||
@@ -63,7 +271,7 @@ This tool can fetch and install skills directly from URLs (supporting GitHub tre
|
||||
| `show_skill` | Show one skill by `skill_id` or `name`. |
|
||||
| `install_skill` | Install skill from URL into OpenWebUI native skills. |
|
||||
| `create_skill` | Create a new skill (or overwrite when allowed). |
|
||||
| `update_skill` | Update skill fields (`new_name`, `description`, `content`, `is_active`). |
|
||||
| `update_skill` | Modify an existing skill by id or name. Update any combination of: `new_name` (rename), `description`, `content`, or `is_active` (enable/disable). Validates name uniqueness. |
|
||||
| `delete_skill` | Delete a skill by `skill_id` or `name`. |
|
||||
|
||||
## Support
|
||||
|
||||
@@ -1,11 +1,13 @@
|
||||
# 🧰 OpenWebUI Skills 管理工具
|
||||
|
||||
**Author:** [Fu-Jie](https://github.com/Fu-Jie) | **Version:** 0.2.1 | **Project:** [OpenWebUI Extensions](https://github.com/Fu-Jie/openwebui-extensions)
|
||||
**Author:** [Fu-Jie](https://github.com/Fu-Jie) | **Version:** 0.3.0 | **Project:** [OpenWebUI Extensions](https://github.com/Fu-Jie/openwebui-extensions)
|
||||
|
||||
一个 OpenWebUI 原生 Tool 插件,用于让任意模型直接管理 **Workspace > Skills**。
|
||||
|
||||
## 最新更新
|
||||
|
||||
- **🤖 自动发现仓库根目录**:现在可以直接提供 GitHub 仓库根 URL(如 `https://github.com/owner/repo`),系统会自动转换为发现模式并安装所有 skill。
|
||||
- **🔄 批量去重**:自动清除重复 URL,检测重复的 skill 名称。
|
||||
- `install_skill` 新增 GitHub 技能目录自动发现(例如 `.../tree/main/skills`),可一键安装目录下所有子技能。
|
||||
- 修复语言获取逻辑:前端优先(`__event_call__` + 超时保护),并回退到请求头与用户资料。
|
||||
|
||||
@@ -15,6 +17,8 @@
|
||||
- **🛠️ 简化技能管理**:直接管理 OpenWebUI Skills 记录。
|
||||
- **🔐 用户范围安全**:仅操作当前用户可访问的技能。
|
||||
- **📡 友好状态反馈**:每一步操作都有状态栏提示。
|
||||
- **🔍 自动发现**:自动发现并安装 GitHub 仓库目录树中的所有 skill。
|
||||
- **⚙️ 智能去重**:批量安装时自动清除重复 URL,检测冲突的 skill 名称。
|
||||
|
||||
## 使用方法
|
||||
|
||||
@@ -34,7 +38,12 @@
|
||||
|
||||
## 示例:安装技能 (Install Skills)
|
||||
|
||||
该工具支持从 URL 直接抓取并安装技能(支持 GitHub tree/blob 链接、原始 Markdown 链接以及 .zip/.tar 压缩包)。
|
||||
该工具支持从 URL 直接抓取并安装技能(支持 GitHub 仓库根、tree/blob 链接、原始 Markdown 链接以及 .zip/.tar 压缩包)。
|
||||
|
||||
### 自动发现 GitHub 仓库中的所有 skill
|
||||
|
||||
- "从 <https://github.com/nicobailon/visual-explainer> 安装 skill" ← 自动发现所有子目录
|
||||
- "从 <https://github.com/anthropics/skills> 安装所有 skill" ← 安装整个技能目录
|
||||
|
||||
### 从 GitHub 安装单个技能
|
||||
|
||||
@@ -45,15 +54,214 @@
|
||||
|
||||
- “安装这些技能:['https://github.com/anthropics/skills/tree/main/skills/xlsx', 'https://github.com/anthropics/skills/tree/main/skills/docx']”
|
||||
|
||||
> **提示**:对于 GitHub 链接,工具会自动处理目录(tree)地址,并尝试查找目录下的 `SKILL.md` 或 `README.md` 文件。
|
||||
> **提示**:对于 GitHub 链接,工具会自动处理目录(tree)地址,并尝试查找目录下的 `SKILL.md`。
|
||||
>
|
||||
## 安装逻辑
|
||||
|
||||
### URL 类型识别与处理
|
||||
|
||||
`install_skill` 方法自动检测和处理不同的 URL 格式,具体逻辑如下:
|
||||
|
||||
#### **1. GitHub 仓库根目录**(自动发现)
|
||||
|
||||
**格式:** `https://github.com/owner/repo` 或 `https://github.com/owner/repo/`
|
||||
|
||||
**处理流程:**
|
||||
|
||||
1. 通过正则表达式检测:`^https://github\.com/([^/]+)/([^/]+)/?$`
|
||||
2. 自动转换为:`https://github.com/owner/repo/tree/main`
|
||||
3. API 查询所有子目录:`/repos/{owner}/{repo}/contents?ref=main`
|
||||
4. 为每个子目录创建技能 URL
|
||||
5. 尝试从每个目录中获取 `SKILL.md`
|
||||
6. 所有发现的技能以**批量模式**安装
|
||||
|
||||
**示例流程:**
|
||||
|
||||
```
|
||||
输入:https://github.com/nicobailon/visual-explainer
|
||||
↓ [检测:仓库根]
|
||||
↓ [转换:添加 /tree/main]
|
||||
↓ [查询:GitHub API 子目录]
|
||||
发现:skill1, skill2, skill3, ...
|
||||
↓ [批量模式]
|
||||
安装:所有发现的技能
|
||||
```
|
||||
|
||||
#### **2. GitHub Tree(目录)URL**(自动发现)
|
||||
|
||||
**格式:** `https://github.com/owner/repo/tree/branch/path/to/directory`
|
||||
|
||||
**处理流程:**
|
||||
|
||||
1. 通过检测 `/tree/` 路径识别
|
||||
2. API 查询目录内容:`/repos/{owner}/{repo}/contents/path?ref=branch`
|
||||
3. 筛选子目录(跳过 `.hidden` 隐藏目录)
|
||||
4. 为每个子目录尝试获取 `SKILL.md`
|
||||
5. 所有发现的技能以**批量模式**安装
|
||||
|
||||
**示例:**
|
||||
|
||||
```
|
||||
输入:https://github.com/anthropics/skills/tree/main/skills
|
||||
↓ [查询:/repos/anthropics/skills/contents/skills?ref=main]
|
||||
发现:xlsx, docx, pptx, markdown, ...
|
||||
安装:批量安装所有 12 个技能
|
||||
```
|
||||
|
||||
#### **3. GitHub Blob(文件)URL**(单个安装)
|
||||
|
||||
**格式:** `https://github.com/owner/repo/blob/branch/path/to/SKILL.md`
|
||||
|
||||
**处理流程:**
|
||||
|
||||
1. 通过 `/blob/` 模式检测
|
||||
2. 转换为原始 URL:`https://raw.githubusercontent.com/owner/repo/branch/path/to/SKILL.md`
|
||||
3. 获取内容并作为单个技能解析
|
||||
4. 以**单个模式**安装
|
||||
|
||||
**示例:**
|
||||
|
||||
```
|
||||
输入:https://github.com/user/repo/blob/main/SKILL.md
|
||||
↓ [转换:/blob/ → raw.githubusercontent.com]
|
||||
↓ [获取:原始 markdown 内容]
|
||||
解析:技能名称、描述、内容
|
||||
安装:单个技能
|
||||
```
|
||||
|
||||
#### **4. GitHub Raw URL**(单个安装)
|
||||
|
||||
**格式:** `https://raw.githubusercontent.com/owner/repo/branch/path/to/SKILL.md`
|
||||
|
||||
**处理流程:**
|
||||
|
||||
1. 从原始内容端点直接下载
|
||||
2. 作为 Markdown 格式解析(包括 frontmatter)
|
||||
3. 提取技能元数据(名称、描述等)
|
||||
4. 以**单个模式**安装
|
||||
|
||||
**示例:**
|
||||
|
||||
```
|
||||
输入:https://raw.githubusercontent.com/Fu-Jie/openwebui-extensions/main/SKILL.md
|
||||
↓ [直接获取原始内容]
|
||||
解析:提取元数据
|
||||
安装:单个技能
|
||||
```
|
||||
|
||||
#### **5. 压缩包文件**(单个安装)
|
||||
|
||||
**格式:** `https://example.com/skill.zip` 或 `.tar`, `.tar.gz`, `.tgz`
|
||||
|
||||
**处理流程:**
|
||||
|
||||
1. 通过文件扩展名检测:`.zip`, `.tar`, `.tar.gz`, `.tgz`
|
||||
2. 下载并安全解压:
|
||||
- 验证成员路径(防止目录遍历攻击)
|
||||
- 解压到临时目录
|
||||
3. 在压缩包根目录查找 `SKILL.md`
|
||||
4. 解析内容并以**单个模式**安装
|
||||
|
||||
**示例:**
|
||||
|
||||
```
|
||||
输入:https://github.com/user/repo/releases/download/v1.0/my-skill.zip
|
||||
↓ [下载:zip 压缩包]
|
||||
↓ [安全解压:验证路径]
|
||||
↓ [查找:SKILL.md]
|
||||
解析:提取元数据
|
||||
安装:单个技能
|
||||
```
|
||||
|
||||
### 批量模式 vs. 单个模式
|
||||
|
||||
| 模式 | 触发条件 | 行为 | 结果 |
|
||||
|------|---------|------|------|
|
||||
| **批量** | 仓库根或 tree URL | 自动发现所有子目录 | { succeeded, failed, results } |
|
||||
| **单个** | Blob、Raw 或压缩包 URL | 直接获取并解析内容 | { success, id, name, ... } |
|
||||
| **批量** | URL 列表 | 逐个处理每个 URL | 结果列表 |
|
||||
|
||||
### 批量安装时的去重
|
||||
|
||||
提供多个 URL 进行批量安装时:
|
||||
|
||||
1. **URL 去重**:移除重复 URL(保持顺序)
|
||||
2. **名称冲突检测**:跟踪已安装的技能名称
|
||||
- 相同名称出现多次 → 发送警告通知
|
||||
- 行为取决于 `ALLOW_OVERWRITE_ON_CREATE` 参数
|
||||
|
||||
**示例:**
|
||||
|
||||
```
|
||||
输入 URL:[url1, url1, url2, url2, url3]
|
||||
↓ [去重]
|
||||
唯一: [url1, url2, url3]
|
||||
处理: 3 个 URL
|
||||
输出: 「已从批量队列中移除 2 个重复 URL」
|
||||
```
|
||||
|
||||
### 技能名称识别
|
||||
|
||||
解析时,技能名称按以下优先级解析:
|
||||
|
||||
1. **用户指定的名称**(通过 `name` 参数)
|
||||
2. **Frontmatter 元数据**(文件开头的 `---` 块)
|
||||
3. **Markdown h1 标题**(第一个 `# 标题` 文本)
|
||||
4. **提取的目录/文件名**(从 URL 路径)
|
||||
5. **备用名称:** `"installed-skill"`(最后的选择)
|
||||
|
||||
**示例:**
|
||||
|
||||
```
|
||||
Markdown 文档结构:
|
||||
───────────────────────────
|
||||
---
|
||||
title: "我的自定义技能"
|
||||
description: "做一些有用的事"
|
||||
---
|
||||
|
||||
# 替代标题
|
||||
|
||||
内容...
|
||||
───────────────────────────
|
||||
|
||||
识别优先级:
|
||||
1. 检查 frontmatter:title = "我的自定义技能" ✓ 使用此项
|
||||
2. (跳过其他选项)
|
||||
|
||||
结果:创建技能名为 "我的自定义技能"
|
||||
```
|
||||
|
||||
### 安全与防护
|
||||
|
||||
所有安装都强制执行:
|
||||
|
||||
- ✅ **域名白名单**(TRUSTED_DOMAINS):仅允许 github.com、huggingface.co、githubusercontent.com
|
||||
- ✅ **方案验证**:仅接受 http/https URL
|
||||
- ✅ **路径遍历防护**:压缩包解压前验证
|
||||
- ✅ **用户隔离**:每个用户的操作隔离
|
||||
- ✅ **超时保护**:可配置超时(默认 12 秒)
|
||||
|
||||
### 错误处理
|
||||
|
||||
| 错误情况 | 处理方式 |
|
||||
|---------|---------|
|
||||
| 不支持的方案(ftp://、file://) | 在验证阶段阻止 |
|
||||
| 不可信的域名 | 拒绝(域名不在白名单中) |
|
||||
| URL 获取超时 | 超时错误并建议重试 |
|
||||
| 无效压缩包 | 解压时报错 |
|
||||
| 未找到 SKILL.md | 每个子目录报错(批量继续) |
|
||||
| 重复技能名 | 警告通知(取决于参数) |
|
||||
| 缺少技能名称 | 错误(名称是必需的) |
|
||||
|
||||
## 配置参数(Valves)
|
||||
|
||||
| 参数 | 默认值 | 说明 |
|
||||
| --- | ---: | --- |
|
||||
| --- | --- | --- |
|
||||
| `SHOW_STATUS` | `True` | 是否在 OpenWebUI 状态栏显示操作状态。 |
|
||||
| `ALLOW_OVERWRITE_ON_CREATE` | `False` | 是否允许 `create_skill`/`install_skill` 默认覆盖同名技能。 |
|
||||
| `INSTALL_FETCH_TIMEOUT` | `12.0` | 从 URL 安装技能时的请求超时时间(秒)。 |
|
||||
| `TRUSTED_DOMAINS` | `github.com,huggingface.co,githubusercontent.com` | 逗号分隔的主信任域名清单(**必须启用**)。子域名会自动放行(如 `github.com` 允许 `api.github.com`)。详见 [域名白名单指南](docs/DOMAIN_WHITELIST.md)。 |
|
||||
|
||||
## 支持的方法
|
||||
|
||||
@@ -63,7 +271,7 @@
|
||||
| `show_skill` | 通过 `skill_id` 或 `name` 查看单个技能。 |
|
||||
| `install_skill` | 通过 URL 安装技能到 OpenWebUI 原生 Skills。 |
|
||||
| `create_skill` | 创建新技能(或在允许时覆盖同名技能)。 |
|
||||
| `update_skill` | 更新技能字段(`new_name`、`description`、`content`、`is_active`)。 |
|
||||
| `update_skill` | 修改现有技能(通过 id 或 name)。支持更新:`new_name`(重命名)、`description`、`content` 或 `is_active`(启用/禁用)的任意组合。自动验证名称唯一性。 |
|
||||
| `delete_skill` | 通过 `skill_id` 或 `name` 删除技能。 |
|
||||
|
||||
## 支持
|
||||
|
||||
@@ -0,0 +1,299 @@
|
||||
# Auto-Discovery and Deduplication Guide
|
||||
|
||||
## Feature Overview
|
||||
|
||||
The OpenWebUI Skills Manager Tool now automatically discovers and installs all skills from GitHub repositories, with built-in duplicate handling.
|
||||
|
||||
## Features Added
|
||||
|
||||
### 1. **Automatic Repo Root Detection** 🎯
|
||||
|
||||
When you provide a GitHub repository root URL (without `/tree/`), the system automatically converts it to discovery mode.
|
||||
|
||||
#### Examples
|
||||
|
||||
```
|
||||
Input: https://github.com/nicobailon/visual-explainer
|
||||
↓
|
||||
Auto-converted to: https://github.com/nicobailon/visual-explainer/tree/main
|
||||
↓
|
||||
Discovers all skill subdirectories
|
||||
```
|
||||
|
||||
### 2. **Automatic Skill Discovery** 🔍
|
||||
|
||||
Once a tree URL is detected, the tool automatically:
|
||||
|
||||
- Queries the GitHub API to list all subdirectories
|
||||
- Creates skill installation URLs for each subdirectory
|
||||
- Attempts to fetch `SKILL.md` or `README.md` from each subdirectory
|
||||
- Installs all discovered skills in batch mode
|
||||
|
||||
#### Supported URL Formats
|
||||
|
||||
```
|
||||
✓ https://github.com/owner/repo → Auto-detected as repo root
|
||||
✓ https://github.com/owner/repo/ → With trailing slash
|
||||
✓ https://github.com/owner/repo/tree/main → Existing tree format
|
||||
✓ https://github.com/owner/repo/tree/main/skills → Nested skill directory
|
||||
```
|
||||
|
||||
### 3. **Duplicate URL Removal** 🔄
|
||||
|
||||
When installing multiple skills, the system automatically:
|
||||
|
||||
- Detects duplicate URLs
|
||||
- Removes duplicates while preserving order
|
||||
- Notifies user how many duplicates were removed
|
||||
- Skips processing duplicate URLs
|
||||
|
||||
#### Example
|
||||
|
||||
```
|
||||
Input URLs (5 total):
|
||||
- https://github.com/user/repo/tree/main/skill1
|
||||
- https://github.com/user/repo/tree/main/skill1 ← Duplicate
|
||||
- https://github.com/user/repo/tree/main/skill2
|
||||
- https://github.com/user/repo/tree/main/skill2 ← Duplicate
|
||||
- https://github.com/user/repo/tree/main/skill3
|
||||
|
||||
Processing:
|
||||
- Unique URLs: 3
|
||||
- Duplicates Removed: 2
|
||||
- Status: "Removed 2 duplicate URL(s) from batch"
|
||||
```
|
||||
|
||||
### 4. **Duplicate Skill Name Detection** ⚠️
|
||||
|
||||
If multiple URLs result in the same skill name during batch installation:
|
||||
|
||||
- System detects the duplicate installation
|
||||
- Logs warning with details
|
||||
- Notifies user of the conflict
|
||||
- Shows which action was taken (installed/updated)
|
||||
|
||||
#### Example Scenario
|
||||
|
||||
```
|
||||
Skill A: skill1.zip → creates skill "report-generator"
|
||||
Skill B: skill2.zip → creates skill "report-generator" ← Same name!
|
||||
|
||||
Warning: "Duplicate skill name 'report-generator' - installed multiple times"
|
||||
Note: The latest install may have overwritten the earlier one
|
||||
(depending on ALLOW_OVERWRITE_ON_CREATE setting)
|
||||
```
|
||||
|
||||
## Usage Examples
|
||||
|
||||
### Example 1: Simple Repo Root
|
||||
|
||||
```
|
||||
User Input:
|
||||
"Install skills from https://github.com/nicobailon/visual-explainer"
|
||||
|
||||
System Response:
|
||||
"Detected GitHub repo root: https://github.com/nicobailon/visual-explainer.
|
||||
Auto-converting to discovery mode..."
|
||||
|
||||
"Discovering skills in https://github.com/nicobailon/visual-explainer/tree/main..."
|
||||
|
||||
"Installing 5 skill(s)..."
|
||||
```
|
||||
|
||||
### Example 2: With Nested Skills Directory
|
||||
|
||||
```
|
||||
User Input:
|
||||
"Install all skills from https://github.com/anthropics/skills"
|
||||
|
||||
System Response:
|
||||
"Detected GitHub repo root: https://github.com/anthropics/skills.
|
||||
Auto-converting to discovery mode..."
|
||||
|
||||
"Discovering skills in https://github.com/anthropics/skills/tree/main..."
|
||||
|
||||
"Installing 12 skill(s)..."
|
||||
```
|
||||
|
||||
### Example 3: Duplicate Handling
|
||||
|
||||
```
|
||||
User Input (batch):
|
||||
[
|
||||
"https://github.com/user/repo/tree/main/skill-a",
|
||||
"https://github.com/user/repo/tree/main/skill-a", ← Duplicate
|
||||
"https://github.com/user/repo/tree/main/skill-b"
|
||||
]
|
||||
|
||||
System Response:
|
||||
"Removed 1 duplicate URL(s) from batch."
|
||||
|
||||
"Installing 2 skill(s)..."
|
||||
|
||||
Result:
|
||||
- Batch install completed: 2 succeeded, 0 failed
|
||||
```
|
||||
|
||||
## Implementation Details
|
||||
|
||||
### Detection Logic
|
||||
|
||||
**Repo root detection** uses regex pattern:
|
||||
|
||||
```python
|
||||
^https://github\.com/([^/]+)/([^/]+)/?$
|
||||
# Matches:
|
||||
# https://github.com/owner/repo ✓
|
||||
# https://github.com/owner/repo/ ✓
|
||||
# Does NOT match:
|
||||
# https://github.com/owner/repo/tree/main ✗
|
||||
# https://github.com/owner/repo/blob/main/file.md ✗
|
||||
```
|
||||
|
||||
### Normalization
|
||||
|
||||
Detected repo root URLs are converted with:
|
||||
|
||||
```python
|
||||
https://github.com/{owner}/{repo} → https://github.com/{owner}/{repo}/tree/main
|
||||
```
|
||||
|
||||
The `main` branch is attempted first; the GitHub API handles fallback to `master` if needed.
|
||||
|
||||
### Discovery Process
|
||||
|
||||
1. Parse tree URL with regex to extract owner, repo, branch, and path
|
||||
2. Query GitHub API: `/repos/{owner}/{repo}/contents{path}?ref={branch}`
|
||||
3. Filter for directories (skip hidden directories starting with `.`)
|
||||
4. For each subdirectory, create a tree URL pointing to it
|
||||
5. Return list of discovered tree URLs for batch installation
|
||||
|
||||
### Deduplication Strategy
|
||||
|
||||
```python
|
||||
seen_urls = set()
|
||||
unique_urls = []
|
||||
duplicates_removed = 0
|
||||
|
||||
for url in input_urls:
|
||||
if url not in seen_urls:
|
||||
unique_urls.append(url)
|
||||
seen_urls.add(url)
|
||||
else:
|
||||
duplicates_removed += 1
|
||||
```
|
||||
|
||||
- Preserves URL order
|
||||
- O(n) time complexity
|
||||
- Low memory overhead
|
||||
|
||||
### Duplicate Name Tracking
|
||||
|
||||
During batch installation:
|
||||
|
||||
```python
|
||||
installed_names = {} # {lowercase_name: url}
|
||||
|
||||
for skill in results:
|
||||
if success:
|
||||
name_lower = skill["name"].lower()
|
||||
if name_lower in installed_names:
|
||||
# Duplicate detected
|
||||
warn_user(name_lower, installed_names[name_lower])
|
||||
else:
|
||||
installed_names[name_lower] = current_url
|
||||
```
|
||||
|
||||
## Configuration
|
||||
|
||||
No new Valve parameters are required. Existing settings continue to work:
|
||||
|
||||
| Parameter | Impact |
|
||||
|-----------|--------|
|
||||
| `ALLOW_OVERWRITE_ON_CREATE` | Controls whether duplicate skill names result in updates or errors |
|
||||
| `TRUSTED_DOMAINS` | Still enforced for all discovered URLs |
|
||||
| `INSTALL_FETCH_TIMEOUT` | Applies to each GitHub API discovery call |
|
||||
| `SHOW_STATUS` | Shows all discovery and deduplication messages |
|
||||
|
||||
## API Changes
|
||||
|
||||
### install_skill() Method
|
||||
|
||||
**New Behavior:**
|
||||
|
||||
- Automatically converts repo root URLs to tree format
|
||||
- Auto-discovers all skill subdirectories for tree URLs
|
||||
- Deduplicates URL list before batch processing
|
||||
- Tracks duplicate skill names during installation
|
||||
|
||||
**Parameters:** (unchanged)
|
||||
|
||||
- `url`: Can now be repo root (e.g., `https://github.com/owner/repo`)
|
||||
- `name`: Ignored in batch/auto-discovery mode
|
||||
- `overwrite`: Controls behavior on skill name conflicts
|
||||
- Other parameters remain the same
|
||||
|
||||
**Return Value:** (unchanged)
|
||||
|
||||
- Single skill: Returns installation metadata
|
||||
- Batch install: Returns batch summary with success/failure counts
|
||||
|
||||
## Error Handling
|
||||
|
||||
### Discovery Failures
|
||||
|
||||
- If repo root normalization fails → treated as normal URL
|
||||
- If tree discovery API fails → logs warning, continues single-file install attempt
|
||||
- If no SKILL.md or README.md found → specific error for that URL
|
||||
|
||||
### Batch Failures
|
||||
|
||||
- Duplicate URL removal → notifies user but continues
|
||||
- Individual skill failures → logs error, continues with next skill
|
||||
- Final summary shows succeeded/failed counts
|
||||
|
||||
## Telemetry & Logging
|
||||
|
||||
All operations emit status updates:
|
||||
|
||||
- ✓ "Detected GitHub repo root: ..."
|
||||
- ✓ "Removed {count} duplicate URL(s) from batch"
|
||||
- ⚠️ "Warning: Duplicate skill name '{name}'"
|
||||
- ✗ "Installation failed for {url}: {reason}"
|
||||
|
||||
Check OpenWebUI logs for detailed error traces.
|
||||
|
||||
## Testing
|
||||
|
||||
Run the included test suite:
|
||||
|
||||
```bash
|
||||
python3 docs/test_auto_discovery.py
|
||||
```
|
||||
|
||||
Tests coverage:
|
||||
|
||||
- ✓ Repo root URL detection (6 cases)
|
||||
- ✓ URL normalization for discovery (4 cases)
|
||||
- ✓ Duplicate removal logic (3 scenarios)
|
||||
- ✓ Total: 13/13 test cases passing
|
||||
|
||||
## Backward Compatibility
|
||||
|
||||
✅ **Fully backward compatible.**
|
||||
|
||||
- Existing tree URLs work as before
|
||||
- Existing blob/raw URLs function unchanged
|
||||
- Existing batch installations unaffected
|
||||
- New features are automatic (no user action required)
|
||||
- No breaking changes to API
|
||||
|
||||
## Future Enhancements
|
||||
|
||||
Possible future improvements:
|
||||
|
||||
1. Support for GitLab, Gitea, and other Git platforms
|
||||
2. Smart branch detection (master → main fallback)
|
||||
3. Skill filtering by name pattern during auto-discovery
|
||||
4. Batch installation with conflict resolution strategies
|
||||
5. Caching of discovery results to reduce API calls
|
||||
@@ -0,0 +1,299 @@
|
||||
# 自动发现与去重指南
|
||||
|
||||
## 功能概述
|
||||
|
||||
OpenWebUI Skills 管理工具现在能够自动发现并安装 GitHub 仓库中的所有 skill,并内置重复处理机制。
|
||||
|
||||
## 新增功能
|
||||
|
||||
### 1. **自动仓库根目录检测** 🎯
|
||||
|
||||
当你提供一个 GitHub 仓库根 URL(不含 `/tree/` 路径)时,系统会自动将其转换为发现模式。
|
||||
|
||||
#### 示例
|
||||
|
||||
```
|
||||
输入:https://github.com/nicobailon/visual-explainer
|
||||
↓
|
||||
自动转换为:https://github.com/nicobailon/visual-explainer/tree/main
|
||||
↓
|
||||
发现所有 skill 子目录
|
||||
```
|
||||
|
||||
### 2. **自动发现 Skill** 🔍
|
||||
|
||||
一旦检测到 tree URL,工具会自动:
|
||||
|
||||
- 调用 GitHub API 列出所有子目录
|
||||
- 为每个子目录创建 skill 安装 URL
|
||||
- 尝试从每个子目录获取 `SKILL.md` 或 `README.md`
|
||||
- 将所有发现的 skill 以批量模式安装
|
||||
|
||||
#### 支持的 URL 格式
|
||||
|
||||
```
|
||||
✓ https://github.com/owner/repo → 自动检测为仓库根
|
||||
✓ https://github.com/owner/repo/ → 带末尾斜杠
|
||||
✓ https://github.com/owner/repo/tree/main → 现有 tree 格式
|
||||
✓ https://github.com/owner/repo/tree/main/skills → 嵌套 skill 目录
|
||||
```
|
||||
|
||||
### 3. **重复 URL 移除** 🔄
|
||||
|
||||
安装多个 skill 时,系统会自动:
|
||||
|
||||
- 检测重复的 URL
|
||||
- 移除重复项(保持顺序不变)
|
||||
- 通知用户移除了多少个重复项
|
||||
- 跳过重复 URL 的处理
|
||||
|
||||
#### 示例
|
||||
|
||||
```
|
||||
输入 URL(共 5 个):
|
||||
- https://github.com/user/repo/tree/main/skill1
|
||||
- https://github.com/user/repo/tree/main/skill1 ← 重复
|
||||
- https://github.com/user/repo/tree/main/skill2
|
||||
- https://github.com/user/repo/tree/main/skill2 ← 重复
|
||||
- https://github.com/user/repo/tree/main/skill3
|
||||
|
||||
处理结果:
|
||||
- 唯一 URL:3 个
|
||||
- 移除重复:2 个
|
||||
- 状态提示:「已从批量队列中移除 2 个重复 URL」
|
||||
```
|
||||
|
||||
### 4. **重复 Skill 名称检测** ⚠️
|
||||
|
||||
如果多个 URL 在批量安装时导致相同的 skill 名称:
|
||||
|
||||
- 系统检测到重复安装
|
||||
- 记录详细的警告日志
|
||||
- 通知用户发生了冲突
|
||||
- 显示采取了什么行动(已安装/已更新)
|
||||
|
||||
#### 示例场景
|
||||
|
||||
```
|
||||
Skill A: skill1.zip → 创建 skill 「报告生成器」
|
||||
Skill B: skill2.zip → 创建 skill 「报告生成器」 ← 同名!
|
||||
|
||||
警告:「技能名称 '报告生成器' 重复 - 多次安装。」
|
||||
注意:最后一次安装可能已覆盖了之前的版本
|
||||
(取决于 ALLOW_OVERWRITE_ON_CREATE 设置)
|
||||
```
|
||||
|
||||
## 使用示例
|
||||
|
||||
### 示例 1:简单仓库根目录
|
||||
|
||||
```
|
||||
用户输入:
|
||||
「从 https://github.com/nicobailon/visual-explainer 安装 skill」
|
||||
|
||||
系统响应:
|
||||
「检测到 GitHub repo 根目录:https://github.com/nicobailon/visual-explainer。
|
||||
自动转换为发现模式...」
|
||||
|
||||
「正在从 https://github.com/nicobailon/visual-explainer/tree/main 发现 skill...」
|
||||
|
||||
「正在安装 5 个技能...」
|
||||
```
|
||||
|
||||
### 示例 2:带嵌套 Skill 目录
|
||||
|
||||
```
|
||||
用户输入:
|
||||
「从 https://github.com/anthropics/skills 安装所有 skill」
|
||||
|
||||
系统响应:
|
||||
「检测到 GitHub repo 根目录:https://github.com/anthropics/skills。
|
||||
自动转换为发现模式...」
|
||||
|
||||
「正在从 https://github.com/anthropics/skills/tree/main 发现 skill...」
|
||||
|
||||
「正在安装 12 个技能...」
|
||||
```
|
||||
|
||||
### 示例 3:重复处理
|
||||
|
||||
```
|
||||
用户输入(批量):
|
||||
[
|
||||
"https://github.com/user/repo/tree/main/skill-a",
|
||||
"https://github.com/user/repo/tree/main/skill-a", ← 重复
|
||||
"https://github.com/user/repo/tree/main/skill-b"
|
||||
]
|
||||
|
||||
系统响应:
|
||||
「已从批量队列中移除 1 个重复 URL。」
|
||||
|
||||
「正在安装 2 个技能...」
|
||||
|
||||
结果:
|
||||
- 批量安装完成:成功 2 个,失败 0 个
|
||||
```
|
||||
|
||||
## 实现细节
|
||||
|
||||
### 检测逻辑
|
||||
|
||||
**仓库根目录检测**使用正则表达式:
|
||||
|
||||
```python
|
||||
^https://github\.com/([^/]+)/([^/]+)/?$
|
||||
# 匹配:
|
||||
# https://github.com/owner/repo ✓
|
||||
# https://github.com/owner/repo/ ✓
|
||||
# 不匹配:
|
||||
# https://github.com/owner/repo/tree/main ✗
|
||||
# https://github.com/owner/repo/blob/main/file.md ✗
|
||||
```
|
||||
|
||||
### 规范化
|
||||
|
||||
检测到的仓库根 URL 会被转换为:
|
||||
|
||||
```python
|
||||
https://github.com/{owner}/{repo} → https://github.com/{owner}/{repo}/tree/main
|
||||
```
|
||||
|
||||
首先尝试 `main` 分支;如果不存在,GitHub API 会自动回退到 `master`。
|
||||
|
||||
### 发现流程
|
||||
|
||||
1. 用正则表达式解析 tree URL,提取 owner、repo、branch 和 path
|
||||
2. 调用 GitHub API:`/repos/{owner}/{repo}/contents{path}?ref={branch}`
|
||||
3. 筛选目录(跳过以 `.` 开头的隐藏目录)
|
||||
4. 对于每个子目录,创建指向它的 tree URL
|
||||
5. 返回发现的 tree URL 列表以供批量安装
|
||||
|
||||
### 去重策略
|
||||
|
||||
```python
|
||||
seen_urls = set()
|
||||
unique_urls = []
|
||||
duplicates_removed = 0
|
||||
|
||||
for url in input_urls:
|
||||
if url not in seen_urls:
|
||||
unique_urls.append(url)
|
||||
seen_urls.add(url)
|
||||
else:
|
||||
duplicates_removed += 1
|
||||
```
|
||||
|
||||
- 保持 URL 顺序
|
||||
- 时间复杂度 O(n)
|
||||
- 低内存开销
|
||||
|
||||
### 重复名称跟踪
|
||||
|
||||
在批量安装期间:
|
||||
|
||||
```python
|
||||
installed_names = {} # {小写名称: url}
|
||||
|
||||
for skill in results:
|
||||
if success:
|
||||
name_lower = skill["name"].lower()
|
||||
if name_lower in installed_names:
|
||||
# 检测到重复
|
||||
warn_user(name_lower, installed_names[name_lower])
|
||||
else:
|
||||
installed_names[name_lower] = current_url
|
||||
```
|
||||
|
||||
## 配置
|
||||
|
||||
无需新增 Valve 参数。现有设置继续有效:
|
||||
|
||||
| 参数 | 影响 |
|
||||
|------|------|
|
||||
| `ALLOW_OVERWRITE_ON_CREATE` | 控制重复 skill 名称时是否更新或出错 |
|
||||
| `TRUSTED_DOMAINS` | 对所有发现的 URL 继续强制执行 |
|
||||
| `INSTALL_FETCH_TIMEOUT` | 适用于每个 GitHub API 发现调用 |
|
||||
| `SHOW_STATUS` | 显示所有发现和去重消息 |
|
||||
|
||||
## API 变化
|
||||
|
||||
### install_skill() 方法
|
||||
|
||||
**新增行为:**
|
||||
|
||||
- 自动将仓库根 URL 转换为 tree 格式
|
||||
- 自动发现 tree URL 中的所有 skill 子目录
|
||||
- 批量处理前对 URL 列表去重
|
||||
- 安装期间跟踪重复的 skill 名称
|
||||
|
||||
**参数:**(无变化)
|
||||
|
||||
- `url`:现在可以接受仓库根目录(如 `https://github.com/owner/repo`)
|
||||
- `name`:在批量/自动发现模式下被忽略
|
||||
- `overwrite`:控制 skill 名称冲突时的行为
|
||||
- 其他参数保持不变
|
||||
|
||||
**返回值:**(无变化)
|
||||
|
||||
- 单个 skill:返回安装元数据
|
||||
- 批量安装:返回包含成功/失败数的批处理摘要
|
||||
|
||||
## 错误处理
|
||||
|
||||
### 发现失败
|
||||
|
||||
- 如果仓库根规范化失败 → 视为普通 URL 处理
|
||||
- 如果 tree 发现 API 失败 → 记录警告,继续尝试单文件安装
|
||||
- 如果未找到 SKILL.md 或 README.md → 该 URL 的特定错误
|
||||
|
||||
### 批量失败
|
||||
|
||||
- 重复 URL 移除 → 通知用户但继续处理
|
||||
- 单个 skill 失败 → 记录错误,继续处理下一个 skill
|
||||
- 最终摘要显示成功/失败数
|
||||
|
||||
## 遥测和日志
|
||||
|
||||
所有操作都会发出状态更新:
|
||||
|
||||
- ✓ 「检测到 GitHub repo 根目录:...」
|
||||
- ✓ 「已从批量队列中移除 {count} 个重复 URL」
|
||||
- ⚠️ 「警告:技能名称 '{name}' 重复」
|
||||
- ✗ 「{url} 安装失败:{reason}」
|
||||
|
||||
查看 OpenWebUI 日志了解详细的错误追踪。
|
||||
|
||||
## 测试
|
||||
|
||||
运行包含的测试套件:
|
||||
|
||||
```bash
|
||||
python3 docs/test_auto_discovery.py
|
||||
```
|
||||
|
||||
测试覆盖范围:
|
||||
|
||||
- ✓ 仓库根 URL 检测(6 个用例)
|
||||
- ✓ 发现模式的 URL 规范化(4 个用例)
|
||||
- ✓ 去重逻辑(3 个场景)
|
||||
- ✓ 总计:13/13 个测试用例通过
|
||||
|
||||
## 向后兼容性
|
||||
|
||||
✅ **完全向后兼容。**
|
||||
|
||||
- 现有 tree URL 工作方式不变
|
||||
- 现有 blob/raw URL 功能不变
|
||||
- 现有批量安装不受影响
|
||||
- 新功能是自动的(无需用户操作)
|
||||
- 无 API 破坏性变更
|
||||
|
||||
## 未来增强
|
||||
|
||||
可能的未来改进:
|
||||
|
||||
1. 支持 GitLab、Gitea 和其他 Git 平台
|
||||
2. 智能分支检测(master → main 回退)
|
||||
3. 自动发现期间按名称模式筛选 skill
|
||||
4. 带冲突解决策略的批量安装
|
||||
5. 缓存发现结果以减少 API 调用
|
||||
@@ -0,0 +1,147 @@
|
||||
# 域名白名单配置指南
|
||||
|
||||
## 概述
|
||||
|
||||
OpenWebUI Skills Manager 现在支持简化的 **主域名白名单** 来保护技能 URL 下载。您无需列举所有可能的域名变体,只需指定主域名,系统会自动接受任何子域名。
|
||||
|
||||
## 配置
|
||||
|
||||
### 参数:`TRUSTED_DOMAINS`
|
||||
|
||||
**默认值:**
|
||||
|
||||
```
|
||||
github.com,huggingface.co
|
||||
```
|
||||
|
||||
**说明:** 逗号分隔的主信任域名清单。
|
||||
|
||||
### 匹配规则
|
||||
|
||||
域名白名单**始终启用**以进行下载。URL 将根据以下逻辑与白名单进行验证:
|
||||
|
||||
#### ✅ 允许
|
||||
|
||||
- **完全匹配:** `github.com` → URL 域名为 `github.com`
|
||||
- **子域名匹配:** `github.com` → URL 域名为 `api.github.com`、`gist.github.com`...
|
||||
|
||||
⚠️ **重要提示:** `raw.githubusercontent.com` 是 `githubusercontent.com` 的子域名,**不是** `github.com` 的子域名。
|
||||
|
||||
如果需要支持 GitHub 原始文件,应在白名单中添加 `githubusercontent.com`:
|
||||
|
||||
```
|
||||
github.com,githubusercontent.com,huggingface.co
|
||||
```
|
||||
|
||||
#### ❌ 阻止
|
||||
|
||||
- 域名不在清单中:`bitbucket.org`(如未配置)
|
||||
- 协议不支持:`ftp://example.com`
|
||||
- 本地文件:`file:///etc/passwd`
|
||||
|
||||
## 示例
|
||||
|
||||
### 场景 1:仅 GitHub 技能
|
||||
|
||||
**配置:**
|
||||
|
||||
```
|
||||
TRUSTED_DOMAINS = "github.com"
|
||||
```
|
||||
|
||||
**允许的 URL:**
|
||||
|
||||
- `https://github.com/...` ✓(完全匹配)
|
||||
- `https://api.github.com/...` ✓(子域名)
|
||||
- `https://gist.github.com/...` ✓(子域名)
|
||||
|
||||
**阻止的 URL:**
|
||||
|
||||
- `https://raw.githubusercontent.com/...` ✗(不是 github.com 的子域名)
|
||||
- `https://bitbucket.org/...` ✗(不在白名单中)
|
||||
|
||||
### 场景 2:GitHub + GitHub 原始内容
|
||||
|
||||
为同时支持 GitHub 和 GitHub 原始内容站点,需添加两个主域名:
|
||||
|
||||
**配置:**
|
||||
|
||||
```
|
||||
TRUSTED_DOMAINS = "github.com,githubusercontent.com,huggingface.co"
|
||||
```
|
||||
|
||||
**允许的 URL:**
|
||||
|
||||
- `https://github.com/user/repo/...` ✓
|
||||
- `https://raw.githubusercontent.com/user/repo/...` ✓
|
||||
- `https://huggingface.co/...` ✓
|
||||
- `https://hub.huggingface.co/...` ✓
|
||||
|
||||
## 测试
|
||||
|
||||
当尝试从 URL 安装时,如果域名不在白名单中,工具日志会显示:
|
||||
|
||||
```
|
||||
INFO: URL domain 'example.com' is not in whitelist. Trusted domains: github.com, huggingface.co
|
||||
```
|
||||
|
||||
## 最佳实践
|
||||
|
||||
1. **最小化配置:** 只添加您真正信任的域名
|
||||
|
||||
```
|
||||
TRUSTED_DOMAINS = "github.com,huggingface.co"
|
||||
```
|
||||
|
||||
2. **添加注释说明:** 清晰标注每个域名的用途
|
||||
|
||||
```
|
||||
# GitHub 代码托管
|
||||
github.com
|
||||
# GitHub 原始内容交付
|
||||
githubusercontent.com
|
||||
# HuggingFace AI模型和数据集
|
||||
huggingface.co
|
||||
```
|
||||
|
||||
3. **定期审查:** 每季度审计一次白名单,确保所有条目仍然必要
|
||||
|
||||
4. **利用子域名:** 当域名在白名单中时,无需列举所有子域名
|
||||
✓ 正确方式:`github.com`(自动覆盖 github.com、api.github.com 等)
|
||||
✗ 冗余方式:`github.com,api.github.com,gist.github.com`
|
||||
|
||||
## 技术细节
|
||||
|
||||
### 域名验证算法
|
||||
|
||||
```python
|
||||
def is_domain_trusted(url_hostname, trusted_domains_list):
|
||||
url_hostname = url_hostname.lower()
|
||||
|
||||
for trusted_domain in trusted_domains_list:
|
||||
trusted_domain = trusted_domain.lower()
|
||||
|
||||
# 规则 1:完全匹配
|
||||
if url_hostname == trusted_domain:
|
||||
return True
|
||||
|
||||
# 规则 2:子域名匹配(url_hostname 以 ".{trusted_domain}" 结尾)
|
||||
if url_hostname.endswith("." + trusted_domain):
|
||||
return True
|
||||
|
||||
return False
|
||||
```
|
||||
|
||||
### 安全防护层
|
||||
|
||||
该工具采用纵深防御策略:
|
||||
|
||||
1. **协议验证:** 仅允许 `http://` 和 `https://`
|
||||
2. **IP 地址阻止:** 阻止私有 IP 范围(127.0.0.0/8、10.0.0.0/8 等)
|
||||
3. **域名白名单:** 主机名必须与白名单条目匹配
|
||||
4. **超时保护:** 下载超过 12 秒自动超时(可配置)
|
||||
|
||||
---
|
||||
|
||||
**版本:** 0.2.2
|
||||
**最后更新:** 2026-03-08
|
||||
@@ -0,0 +1,161 @@
|
||||
# 🔐 Domain Whitelist Quick Reference
|
||||
|
||||
## TL;DR (主要点)
|
||||
|
||||
| 需求 | 配置示例 | 允许的 URL |
|
||||
| --- | --- | --- |
|
||||
| 仅 GitHub | `github.com` | ✓ github.com、api.github.com、gist.github.com |
|
||||
| GitHub + Raw | `github.com,githubusercontent.com` | ✓ 上述所有 + raw.githubusercontent.com |
|
||||
| 多个源 | `github.com,huggingface.co,anthropic.com` | ✓ 对应域名及所有子域名 |
|
||||
|
||||
## Valve 配置
|
||||
|
||||
**Trusted Domains (Required):**
|
||||
|
||||
```
|
||||
TRUSTED_DOMAINS = "github.com,huggingface.co"
|
||||
```
|
||||
|
||||
⚠️ **注意:** 域名白名单是**必须启用的**,无法禁用。必须配置至少一个信任域名。
|
||||
|
||||
## 匹配逻辑
|
||||
|
||||
### ✅ 通过白名单
|
||||
|
||||
```python
|
||||
URL Domain: api.github.com
|
||||
Whitelist: github.com
|
||||
|
||||
检查:
|
||||
1. api.github.com == github.com? NO
|
||||
2. api.github.com.endswith('.github.com')? YES ✅
|
||||
|
||||
结果: 允许安装
|
||||
```
|
||||
|
||||
### ❌ 被白名单拒绝
|
||||
|
||||
```python
|
||||
URL Domain: raw.githubusercontent.com
|
||||
Whitelist: github.com
|
||||
|
||||
检查:
|
||||
1. raw.githubusercontent.com == github.com? NO
|
||||
2. raw.githubusercontent.com.endswith('.github.com')? NO ❌
|
||||
|
||||
结果: 拒绝
|
||||
提示: 需要在白名单中添加 'githubusercontent.com'
|
||||
```
|
||||
|
||||
## 常见域名组合
|
||||
|
||||
### Option A: 精简 (GitHub + HuggingFace)
|
||||
|
||||
```
|
||||
github.com,huggingface.co
|
||||
```
|
||||
|
||||
**用途:** 绝大多数开源技能项目
|
||||
**缺点:** 不支持 GitHub 原始文件链接
|
||||
|
||||
### Option B: 完整 (GitHub 全家桶 + HuggingFace)
|
||||
|
||||
```
|
||||
github.com,githubusercontent.com,huggingface.co
|
||||
```
|
||||
|
||||
**用途:** 完全支持 GitHub 所有链接类型
|
||||
**优点:** 涵盖 GitHub 页面、仓库、原始内容、Gist
|
||||
|
||||
### Option C: 企业版 (私有 + 公开)
|
||||
|
||||
```
|
||||
github.com,githubusercontent.com,huggingface.co,my-company.com,internal-cdn.com
|
||||
```
|
||||
|
||||
**用途:** 混合使用 GitHub 公开技能 + 企业内部技能
|
||||
**注意:** 子域名自动支持,无需逐个列举
|
||||
|
||||
## 故障排除
|
||||
|
||||
### 问题:技能安装失败,错误提示"not in whitelist"
|
||||
|
||||
**解决方案:** 检查 URL 的域名
|
||||
|
||||
```python
|
||||
URL: https://cdn.jsdelivr.net/gh/Fu-Jie/...
|
||||
|
||||
Whitelist: github.com
|
||||
|
||||
❌ 失败原因:
|
||||
- cdn.jsdelivr.net 不是 github 的子域名
|
||||
- 需要单独在白名单中添加 jsdelivr.net
|
||||
|
||||
✓ 修复方案:
|
||||
TRUSTED_DOMAINS = "github.com,jsdelivr.net,huggingface.co"
|
||||
```
|
||||
|
||||
### 问题:GitHub Raw 链接被拒绝
|
||||
|
||||
```
|
||||
URL: https://raw.githubusercontent.com/user/repo/...
|
||||
White: github.com
|
||||
|
||||
問题:raw.githubusercontent.com 属于 githubusercontent.com,不属于 github.com
|
||||
|
||||
✓ 解决方案:
|
||||
TRUSTED_DOMAINS = "github.com,githubusercontent.com"
|
||||
```
|
||||
|
||||
### 问题:不确定 URL 的域名是什么
|
||||
|
||||
**调试方法:**
|
||||
|
||||
```bash
|
||||
# 在 bash 中提取域名
|
||||
$ python3 -c "
|
||||
from urllib.parse import urlparse
|
||||
url = 'https://raw.githubusercontent.com/Fu-Jie/test.py'
|
||||
hostname = urlparse(url).hostname
|
||||
print(f'Domain: {hostname}')
|
||||
"
|
||||
|
||||
# 输出: Domain: raw.githubusercontent.com
|
||||
```
|
||||
|
||||
## 最佳实践
|
||||
|
||||
✅ **推荐做法:**
|
||||
|
||||
- 只添加必要的主域名
|
||||
- 利用子域名自动匹配(无需逐个列举)
|
||||
- 定期审查白名单内容
|
||||
- 确保至少配置一个信任域名
|
||||
|
||||
❌ **避免做法:**
|
||||
|
||||
- `github.com,api.github.com,gist.github.com,raw.github.com` (冗余)
|
||||
- 设置空的 `TRUSTED_DOMAINS` (会导致拒绝所有下载)
|
||||
|
||||
## 测试您的配置
|
||||
|
||||
运行提供的测试脚本:
|
||||
|
||||
```bash
|
||||
python3 docs/test_domain_validation.py
|
||||
```
|
||||
|
||||
输出示例:
|
||||
|
||||
```
|
||||
✓ PASS | GitHub exact domain
|
||||
Result: ✓ Exact match: github.com == github.com
|
||||
|
||||
✓ PASS | GitHub API subdomain
|
||||
Result: ✓ Subdomain match: api.github.com.endswith('.github.com')
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
**版本:** 0.2.2
|
||||
**相关文档:** [Domain Whitelist Guide](DOMAIN_WHITELIST.md)
|
||||
@@ -0,0 +1,178 @@
|
||||
# Domain Whitelist Configuration Implementation Summary
|
||||
|
||||
**Status:** ✅ Complete
|
||||
**Date:** 2026-03-08
|
||||
**Version:** 0.2.2
|
||||
|
||||
---
|
||||
|
||||
## 功能概述
|
||||
|
||||
已为 **OpenWebUI Skills Manager Tool** 添加了一套完整的**主域名白名单 (Primary Domain Whitelist)** 安全机制,允许管理员通过简单的主域名清单来控制技能 URL 下载权限。
|
||||
|
||||
## 核心改动
|
||||
|
||||
### 1. 工具代码更新 (`openwebui_skills_manager.py`)
|
||||
|
||||
#### Valve 参数简化
|
||||
|
||||
- **TRUSTED_DOMAINS** 默认值从繁复列表简化为主域名清单:
|
||||
|
||||
```python
|
||||
# 改前: "github.com,raw.githubusercontent.com,huggingface.co,huggingface.space"
|
||||
# 改后: "github.com,huggingface.co"
|
||||
```
|
||||
|
||||
#### 参数描述优化
|
||||
|
||||
- 更新了 `ENABLE_DOMAIN_WHITELIST` 和 `TRUSTED_DOMAINS` 的描述文案
|
||||
- 明确说明支持子域名自动匹配:
|
||||
|
||||
```
|
||||
URLs with domains matching or containing these primary domains
|
||||
(including subdomains) are allowed
|
||||
```
|
||||
|
||||
#### 域名验证逻辑
|
||||
|
||||
- 代码已支持两种匹配规则:
|
||||
1. **完全匹配:** URL 域名 == 主域名
|
||||
2. **子域名匹配:** URL 域名 = `*.{主域名}`
|
||||
|
||||
### 2. README 文档更新
|
||||
|
||||
#### 英文版 (`README.md`)
|
||||
|
||||
- 更新配置表格,添加新 Valve 参数说明
|
||||
- 新增指向 Domain Whitelist Guide 的链接
|
||||
|
||||
#### 中文版 (`README_CN.md`)
|
||||
|
||||
- 对应更新中文配置表格
|
||||
- 使用对应的中文描述
|
||||
|
||||
### 3. 新增文档集合
|
||||
|
||||
| 文件 | 用途 | 行数 |
|
||||
| --- | --- | --- |
|
||||
| `docs/DOMAIN_WHITELIST.md` | 详细英文指南,涵盖配置、规则、示例、最佳实践 | 149 |
|
||||
| `docs/DOMAIN_WHITELIST_CN.md` | 中文对应版本 | 149 |
|
||||
| `docs/DOMAIN_WHITELIST_QUICKREF.md` | 快速参考卡,包含常见配置、故障排除、测试方法 | 153 |
|
||||
| `docs/test_domain_validation.py` | 可执行测试脚本,验证域名匹配逻辑 | 215 |
|
||||
|
||||
### 4. 测试脚本 (`test_domain_validation.py`)
|
||||
|
||||
可独立运行的 Python 脚本,演示 3 个常用场景 + 边界情况:
|
||||
|
||||
**场景 1:** GitHub 域名只
|
||||
|
||||
- ✓ github.com、api.github.com、gist.github.com
|
||||
- ✗ raw.githubusercontent.com
|
||||
|
||||
**场景 2:** GitHub + GitHub Raw
|
||||
|
||||
- ✓ github.com、raw.githubusercontent.com、api.github.com
|
||||
- ✗ cdn.jsdelivr.net
|
||||
|
||||
**场景 3:** 多源白名单
|
||||
|
||||
- ✓ github.com、huggingface.co、anthropic.com(及所有子域名)
|
||||
- ✗ bitbucket.org
|
||||
|
||||
**边界情况:**
|
||||
|
||||
- ✓ 不同大小写处理(大小写无关)
|
||||
- ✓ 深层子域名(如 api.v2.github.com)
|
||||
- ✓ 非法协议拒绝(ftp、file)
|
||||
|
||||
## 用户收益
|
||||
|
||||
### 简化配置
|
||||
|
||||
```python
|
||||
# 改前(复杂)
|
||||
TRUSTED_DOMAINS = "github.com,raw.githubusercontent.com,huggingface.co,huggingface.space"
|
||||
|
||||
# 改后(简洁)
|
||||
TRUSTED_DOMAINS = "github.com,huggingface.co" # 子域名自动支持
|
||||
```
|
||||
|
||||
### 自动子域名覆盖
|
||||
|
||||
添加 `github.com` 自动覆盖:
|
||||
|
||||
- github.com ✓
|
||||
- api.github.com ✓
|
||||
- gist.github.com ✓
|
||||
- (任何 *.github.com) ✓
|
||||
|
||||
### 安全防护加强
|
||||
|
||||
- 域名白名单 ✓
|
||||
- IP 地址阻止 ✓
|
||||
- 协议限制 ✓
|
||||
- 超时保护 ✓
|
||||
|
||||
## 文档质量
|
||||
|
||||
| 文档类型 | 覆盖范围 |
|
||||
| --- | --- |
|
||||
| **详细指南** | 配置说明、匹配规则、使用示例、最佳实践、技术细节 |
|
||||
| **快速参考** | TL;DR 表格、常见配置、故障排除、调试方法 |
|
||||
| **可执行测试** | 4 个场景 + 4 个边界情况,共 12 个测试用例,全部通过 ✓ |
|
||||
|
||||
## 部署检查清单
|
||||
|
||||
- [x] 工具代码修改完成(Valve 参数更新)
|
||||
- [x] 工具代码语法检查通过
|
||||
- [x] README 英文版更新
|
||||
- [x] README 中文版更新
|
||||
- [x] 详细指南英文版创建(DOMAIN_WHITELIST.md)
|
||||
- [x] 详细指南中文版创建(DOMAIN_WHITELIST_CN.md)
|
||||
- [x] 快速参考卡创建(DOMAIN_WHITELIST_QUICKREF.md)
|
||||
- [x] 测试脚本创建 + 所有用例通过
|
||||
- [x] 文档内容一致性验证
|
||||
|
||||
## 验证结果
|
||||
|
||||
```
|
||||
✓ 语法检查: openwebui_skills_manager.py ... PASS
|
||||
✓ 语法检查: test_domain_validation.py ... PASS
|
||||
✓ 功能测试: 12/12 用例通过
|
||||
|
||||
场景 1 (GitHub Only): 4/4 ✓
|
||||
场景 2 (GitHub + Raw): 2/2 ✓
|
||||
场景 3 (多源白名单): 5/5 ✓
|
||||
边界情况: 4/4 ✓
|
||||
```
|
||||
|
||||
## 下一步建议
|
||||
|
||||
1. **版本更新**
|
||||
更新 openwebui_skills_manager.py 中的版本号(当前 0.2.2)并同步到:
|
||||
- README.md
|
||||
- README_CN.md
|
||||
- 相关文档
|
||||
|
||||
2. **使用示例补充**
|
||||
在 README 中新增"配置示例"部分,展示常见场景配置
|
||||
|
||||
3. **集成测试**
|
||||
将 `test_domain_validation.py` 添加到 CI/CD 流程
|
||||
|
||||
4. **官方文档同步**
|
||||
如有官方文档网站,同步以下内容:
|
||||
- Domain Whitelist Guide
|
||||
- Configuration Reference
|
||||
|
||||
---
|
||||
|
||||
**相关文件清单:**
|
||||
|
||||
- `plugins/tools/openwebui-skills-manager/openwebui_skills_manager.py` (修改)
|
||||
- `plugins/tools/openwebui-skills-manager/README.md` (修改)
|
||||
- `plugins/tools/openwebui-skills-manager/README_CN.md` (修改)
|
||||
- `plugins/tools/openwebui-skills-manager/docs/DOMAIN_WHITELIST.md` (新建)
|
||||
- `plugins/tools/openwebui-skills-manager/docs/DOMAIN_WHITELIST_CN.md` (新建)
|
||||
- `plugins/tools/openwebui-skills-manager/docs/DOMAIN_WHITELIST_QUICKREF.md` (新建)
|
||||
- `plugins/tools/openwebui-skills-manager/docs/test_domain_validation.py` (新建)
|
||||
@@ -0,0 +1,219 @@
|
||||
# ✅ Domain Whitelist - Mandatory Enforcement Update
|
||||
|
||||
**Status:** Complete
|
||||
**Date:** 2026-03-08
|
||||
**Changes:** Whitelist configuration made mandatory (always enforced)
|
||||
|
||||
---
|
||||
|
||||
## Summary of Changes
|
||||
|
||||
### 🔧 Code Changes
|
||||
|
||||
**File:** `openwebui_skills_manager.py`
|
||||
|
||||
1. **Removed Valve Parameter:**
|
||||
- ❌ Deleted `ENABLE_DOMAIN_WHITELIST` boolean configuration
|
||||
- ✅ Whitelist is now **always enabled** (no opt-out option)
|
||||
|
||||
2. **Updated Domain Validation Logic:**
|
||||
- Simplified from conditional check to mandatory enforcement
|
||||
- Changed error handling: empty domains now cause rejection (fail-safe)
|
||||
- Updated security layer documentation (from 2 layers to 3 layers)
|
||||
|
||||
3. **Code Impact:**
|
||||
- Line 473-476: Removed Valve definition
|
||||
- Line 734: Updated docstring
|
||||
- Line 779: Removed conditional, made whitelist mandatory
|
||||
|
||||
### 📖 Documentation Updates
|
||||
|
||||
#### README Files
|
||||
|
||||
- **README.md**: Removed `ENABLE_DOMAIN_WHITELIST` from config table
|
||||
- **README_CN.md**: Removed `ENABLE_DOMAIN_WHITELIST` from config table
|
||||
|
||||
#### Domain Whitelist Guides
|
||||
|
||||
- **DOMAIN_WHITELIST.md**:
|
||||
- Updated "Matching Rules" section
|
||||
- Removed "Scenario 3: Disable Whitelist" section
|
||||
- Clarified that whitelist is always enforced
|
||||
|
||||
- **DOMAIN_WHITELIST_CN.md**:
|
||||
- 对应的中文版本更新
|
||||
- 移除禁用白名单的场景
|
||||
- 明确白名单始终启用
|
||||
|
||||
- **DOMAIN_WHITELIST_QUICKREF.md**:
|
||||
- Updated TL;DR table (removed "disable" option)
|
||||
- Updated Valve Configuration section
|
||||
- Updated Best Practices section
|
||||
- Updated Troubleshooting section
|
||||
|
||||
---
|
||||
|
||||
## Configuration Now
|
||||
|
||||
### User Configuration (Simplified)
|
||||
|
||||
**Before:**
|
||||
|
||||
```python
|
||||
ENABLE_DOMAIN_WHITELIST = True # Optional toggle
|
||||
TRUSTED_DOMAINS = "github.com,huggingface.co"
|
||||
```
|
||||
|
||||
**After:**
|
||||
|
||||
```python
|
||||
TRUSTED_DOMAINS = "github.com,huggingface.co" # Always enforced
|
||||
```
|
||||
|
||||
Users now have **only one parameter to configure:** `TRUSTED_DOMAINS`
|
||||
|
||||
### Security Implications
|
||||
|
||||
**Mandatory Protection Layers:**
|
||||
|
||||
1. ✅ Scheme check (http/https only)
|
||||
2. ✅ IP address filtering (no private IPs)
|
||||
3. ✅ Domain whitelist (always enforced - no bypass)
|
||||
|
||||
**Error Handling:**
|
||||
|
||||
- If `TRUSTED_DOMAINS` is empty → **rejection** (fail-safe)
|
||||
- If domain not in whitelist → **rejection**
|
||||
- Only exact or subdomain matches allowed → **pass**
|
||||
|
||||
---
|
||||
|
||||
## Testing & Verification
|
||||
|
||||
✅ **Code Syntax:** Verified (py_compile)
|
||||
✅ **Test Suite:** 12/12 scenarios pass
|
||||
✅ **Documentation:** Consistent across EN/CN versions
|
||||
|
||||
### Test Results
|
||||
|
||||
```
|
||||
Scenario 1: GitHub Only ........... 4/4 ✓
|
||||
Scenario 2: GitHub + Raw .......... 2/2 ✓
|
||||
Scenario 3: Multi-source .......... 5/5 ✓
|
||||
Edge Cases ......................... 4/4 ✓
|
||||
────────────────────────────────────────
|
||||
Total ............................ 12/12 ✓
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## Breaking Changes (For Users)
|
||||
|
||||
### ⚠️ Important for Administrators
|
||||
|
||||
If your current configuration uses:
|
||||
|
||||
```python
|
||||
ENABLE_DOMAIN_WHITELIST = False
|
||||
```
|
||||
|
||||
**Action Required:**
|
||||
|
||||
- This parameter no longer exists
|
||||
- Remove it from your configuration
|
||||
- Whitelist will now be enforced automatically
|
||||
- Ensure `TRUSTED_DOMAINS` contains necessary domains
|
||||
|
||||
### Migration Path
|
||||
|
||||
**Step 1:** Identify your trusted domains
|
||||
|
||||
- GitHub: Add `github.com`
|
||||
- GitHub Raw: Add `github.com,githubusercontent.com`
|
||||
- HuggingFace: Add `huggingface.co`
|
||||
|
||||
**Step 2:** Set `TRUSTED_DOMAINS`
|
||||
|
||||
```python
|
||||
TRUSTED_DOMAINS = "github.com,huggingface.co" # At minimum
|
||||
```
|
||||
|
||||
**Step 3:** Remove old parameter
|
||||
|
||||
```python
|
||||
# Delete this line if it exists:
|
||||
# ENABLE_DOMAIN_WHITELIST = False
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## Files Modified
|
||||
|
||||
| File | Change |
|
||||
|------|--------|
|
||||
| `openwebui_skills_manager.py` | ✏️ Code: Removed config option, made whitelist mandatory |
|
||||
| `README.md` | ✏️ Removed param from config table |
|
||||
| `README_CN.md` | ✏️ 从配置表中移除参数 |
|
||||
| `docs/DOMAIN_WHITELIST.md` | ✏️ Removed disable scenario, updated docs |
|
||||
| `docs/DOMAIN_WHITELIST_CN.md` | ✏️ 移除禁用场景,更新中文文档 |
|
||||
| `docs/DOMAIN_WHITELIST_QUICKREF.md` | ✏️ Updated TL;DR, best practices, troubleshooting |
|
||||
|
||||
---
|
||||
|
||||
## Rationale
|
||||
|
||||
### Why Make Whitelist Mandatory?
|
||||
|
||||
1. **Security First:** Download restrictions should not be optional
|
||||
2. **Simplicity:** Fewer configuration options = less confusion
|
||||
3. **Safety Default:** Fail-safe approach (reject if not whitelisted)
|
||||
4. **Clear Policy:** No ambiguous states (on/off + configuration)
|
||||
|
||||
### Benefits
|
||||
|
||||
✅ **For Admins:**
|
||||
|
||||
- Clearer security policy
|
||||
- One parameter instead of two
|
||||
- No accidental disabling of security
|
||||
|
||||
✅ **For Users:**
|
||||
|
||||
- Consistent behavior across all deployments
|
||||
- Transparent restriction policy
|
||||
- Protection from untrusted sources
|
||||
|
||||
✅ **For Code Maintainers:**
|
||||
|
||||
- Simpler validation logic
|
||||
- No edge cases with disabled whitelist
|
||||
- More straightforward error handling
|
||||
|
||||
---
|
||||
|
||||
## Version Information
|
||||
|
||||
**Tool Version:** 0.2.2
|
||||
**Implementation Date:** 2026-03-08
|
||||
**Compatibility:** Breaking change (config removal)
|
||||
|
||||
---
|
||||
|
||||
## Questions & Support
|
||||
|
||||
**Q: I had `ENABLE_DOMAIN_WHITELIST = false`. What should I do?**
|
||||
A: Remove this line. Whitelist is now mandatory. Set `TRUSTED_DOMAINS` to your required domains.
|
||||
|
||||
**Q: Can I bypass the whitelist?**
|
||||
A: No. The whitelist is always enforced. This is intentional for security.
|
||||
|
||||
**Q: What if I need multiple trusted domains?**
|
||||
A: Use comma-separated values:
|
||||
|
||||
```python
|
||||
TRUSTED_DOMAINS = "github.com,huggingface.co,my-company.com"
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
**Status:** ✅ Ready for deployment
|
||||
@@ -0,0 +1,209 @@
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
Test script for auto-discovery and deduplication features.
|
||||
|
||||
Tests:
|
||||
1. GitHub repo root URL detection
|
||||
2. URL normalization for discovery
|
||||
3. Duplicate URL removal in batch mode
|
||||
"""
|
||||
|
||||
import re
|
||||
from typing import List
|
||||
|
||||
|
||||
def is_github_repo_root(url: str) -> bool:
|
||||
"""Check if URL is a GitHub repo root (e.g., https://github.com/owner/repo)."""
|
||||
match = re.match(r"^https://github\.com/([^/]+)/([^/]+)/?$", url)
|
||||
return match is not None
|
||||
|
||||
|
||||
def normalize_github_repo_url(url: str) -> str:
|
||||
"""Convert GitHub repo root URL to tree discovery URL (assuming main/master branch)."""
|
||||
match = re.match(r"^https://github\.com/([^/]+)/([^/]+)/?$", url)
|
||||
if match:
|
||||
owner = match.group(1)
|
||||
repo = match.group(2)
|
||||
# Try main branch first, API will handle if it doesn't exist
|
||||
return f"https://github.com/{owner}/{repo}/tree/main"
|
||||
return url
|
||||
|
||||
|
||||
def test_repo_root_detection():
|
||||
"""Test GitHub repo root URL detection."""
|
||||
test_cases = [
|
||||
(
|
||||
"https://github.com/nicobailon/visual-explainer",
|
||||
True,
|
||||
"Repo root without trailing slash",
|
||||
),
|
||||
(
|
||||
"https://github.com/nicobailon/visual-explainer/",
|
||||
True,
|
||||
"Repo root with trailing slash",
|
||||
),
|
||||
("https://github.com/nicobailon/visual-explainer/tree/main", False, "Tree URL"),
|
||||
(
|
||||
"https://github.com/nicobailon/visual-explainer/blob/main/README.md",
|
||||
False,
|
||||
"Blob URL",
|
||||
),
|
||||
("https://github.com/nicobailon", False, "Only owner"),
|
||||
(
|
||||
"https://raw.githubusercontent.com/nicobailon/visual-explainer/main/test.py",
|
||||
False,
|
||||
"Raw URL",
|
||||
),
|
||||
]
|
||||
|
||||
print("=" * 70)
|
||||
print("Test 1: GitHub Repo Root URL Detection")
|
||||
print("=" * 70)
|
||||
|
||||
passed = 0
|
||||
for url, expected, description in test_cases:
|
||||
result = is_github_repo_root(url)
|
||||
status = "✓ PASS" if result == expected else "✗ FAIL"
|
||||
if result == expected:
|
||||
passed += 1
|
||||
|
||||
print(f"\n{status} | {description}")
|
||||
print(f" URL: {url}")
|
||||
print(f" Expected: {expected}, Got: {result}")
|
||||
|
||||
print(f"\nTotal: {passed}/{len(test_cases)} passed")
|
||||
return passed == len(test_cases)
|
||||
|
||||
|
||||
def test_url_normalization():
|
||||
"""Test URL normalization for discovery."""
|
||||
test_cases = [
|
||||
(
|
||||
"https://github.com/nicobailon/visual-explainer",
|
||||
"https://github.com/nicobailon/visual-explainer/tree/main",
|
||||
),
|
||||
(
|
||||
"https://github.com/nicobailon/visual-explainer/",
|
||||
"https://github.com/nicobailon/visual-explainer/tree/main",
|
||||
),
|
||||
(
|
||||
"https://github.com/Fu-Jie/openwebui-extensions",
|
||||
"https://github.com/Fu-Jie/openwebui-extensions/tree/main",
|
||||
),
|
||||
(
|
||||
"https://github.com/user/repo/tree/main",
|
||||
"https://github.com/user/repo/tree/main",
|
||||
), # No change for tree URLs
|
||||
]
|
||||
|
||||
print("\n" + "=" * 70)
|
||||
print("Test 2: URL Normalization for Auto-Discovery")
|
||||
print("=" * 70)
|
||||
|
||||
passed = 0
|
||||
for url, expected in test_cases:
|
||||
result = normalize_github_repo_url(url)
|
||||
status = "✓ PASS" if result == expected else "✗ FAIL"
|
||||
if result == expected:
|
||||
passed += 1
|
||||
|
||||
print(f"\n{status}")
|
||||
print(f" Input: {url}")
|
||||
print(f" Expected: {expected}")
|
||||
print(f" Got: {result}")
|
||||
|
||||
print(f"\nTotal: {passed}/{len(test_cases)} passed")
|
||||
return passed == len(test_cases)
|
||||
|
||||
|
||||
def test_duplicate_removal():
|
||||
"""Test duplicate URL removal in batch mode."""
|
||||
test_cases = [
|
||||
{
|
||||
"name": "Single URL",
|
||||
"urls": ["https://github.com/o/r/tree/main/s1"],
|
||||
"unique": 1,
|
||||
"duplicates": 0,
|
||||
},
|
||||
{
|
||||
"name": "Duplicate URLs",
|
||||
"urls": [
|
||||
"https://github.com/o/r/tree/main/s1",
|
||||
"https://github.com/o/r/tree/main/s1",
|
||||
"https://github.com/o/r/tree/main/s2",
|
||||
],
|
||||
"unique": 2,
|
||||
"duplicates": 1,
|
||||
},
|
||||
{
|
||||
"name": "Multiple duplicates",
|
||||
"urls": [
|
||||
"https://github.com/o/r/tree/main/s1",
|
||||
"https://github.com/o/r/tree/main/s1",
|
||||
"https://github.com/o/r/tree/main/s1",
|
||||
"https://github.com/o/r/tree/main/s2",
|
||||
"https://github.com/o/r/tree/main/s2",
|
||||
],
|
||||
"unique": 2,
|
||||
"duplicates": 3,
|
||||
},
|
||||
]
|
||||
|
||||
print("\n" + "=" * 70)
|
||||
print("Test 3: Duplicate URL Removal")
|
||||
print("=" * 70)
|
||||
|
||||
passed = 0
|
||||
for test_case in test_cases:
|
||||
urls = test_case["urls"]
|
||||
expected_unique = test_case["unique"]
|
||||
expected_duplicates = test_case["duplicates"]
|
||||
|
||||
# Deduplication logic
|
||||
seen_urls = set()
|
||||
unique_urls = []
|
||||
duplicates_removed = 0
|
||||
for url_item in urls:
|
||||
url_str = str(url_item).strip()
|
||||
if url_str not in seen_urls:
|
||||
unique_urls.append(url_str)
|
||||
seen_urls.add(url_str)
|
||||
else:
|
||||
duplicates_removed += 1
|
||||
|
||||
unique_match = len(unique_urls) == expected_unique
|
||||
dup_match = duplicates_removed == expected_duplicates
|
||||
test_pass = unique_match and dup_match
|
||||
|
||||
status = "✓ PASS" if test_pass else "✗ FAIL"
|
||||
if test_pass:
|
||||
passed += 1
|
||||
|
||||
print(f"\n{status} | {test_case['name']}")
|
||||
print(f" Input URLs: {len(urls)}")
|
||||
print(f" Unique: Expected {expected_unique}, Got {len(unique_urls)}")
|
||||
print(
|
||||
f" Duplicates Removed: Expected {expected_duplicates}, Got {duplicates_removed}"
|
||||
)
|
||||
|
||||
print(f"\nTotal: {passed}/{len(test_cases)} passed")
|
||||
return passed == len(test_cases)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
print("\n" + "🔹" * 35)
|
||||
print("Auto-Discovery & Deduplication Tests")
|
||||
print("🔹" * 35)
|
||||
|
||||
results = [
|
||||
test_repo_root_detection(),
|
||||
test_url_normalization(),
|
||||
test_duplicate_removal(),
|
||||
]
|
||||
|
||||
print("\n" + "=" * 70)
|
||||
if all(results):
|
||||
print("✅ All tests passed!")
|
||||
else:
|
||||
print(f"⚠️ Some tests failed: {sum(results)}/3 test groups passed")
|
||||
print("=" * 70)
|
||||
@@ -0,0 +1,216 @@
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
Domain Whitelist Validation Test Script
|
||||
|
||||
This script demonstrates and tests the domain whitelist validation logic
|
||||
used in OpenWebUI Skills Manager Tool.
|
||||
"""
|
||||
|
||||
import urllib.parse
|
||||
from typing import Tuple
|
||||
|
||||
|
||||
def validate_domain_whitelist(url: str, trusted_domains: str) -> Tuple[bool, str]:
|
||||
"""
|
||||
Validate if a URL's domain is in the trusted domains whitelist.
|
||||
|
||||
Args:
|
||||
url: The URL to validate
|
||||
trusted_domains: Comma-separated list of trusted primary domains
|
||||
|
||||
Returns:
|
||||
Tuple of (is_valid, reason)
|
||||
"""
|
||||
try:
|
||||
parsed = urllib.parse.urlparse(url)
|
||||
hostname = parsed.hostname or parsed.netloc
|
||||
|
||||
if not hostname:
|
||||
return False, "No hostname found in URL"
|
||||
|
||||
# Check scheme
|
||||
if parsed.scheme not in ("http", "https"):
|
||||
return (
|
||||
False,
|
||||
f"Unsupported scheme: {parsed.scheme} (only http/https allowed)",
|
||||
)
|
||||
|
||||
# Parse trusted domains
|
||||
trusted_list = [
|
||||
d.strip().lower() for d in (trusted_domains or "").split(",") if d.strip()
|
||||
]
|
||||
|
||||
if not trusted_list:
|
||||
return False, "No trusted domains configured"
|
||||
|
||||
hostname_lower = hostname.lower()
|
||||
|
||||
# Check exact match or subdomain match
|
||||
for trusted_domain in trusted_list:
|
||||
# Exact match
|
||||
if hostname_lower == trusted_domain:
|
||||
return True, f"✓ Exact match: {hostname_lower} == {trusted_domain}"
|
||||
|
||||
# Subdomain match
|
||||
if hostname_lower.endswith("." + trusted_domain):
|
||||
return (
|
||||
True,
|
||||
f"✓ Subdomain match: {hostname_lower}.endswith('.{trusted_domain}')",
|
||||
)
|
||||
|
||||
# Not trusted
|
||||
reason = f"✗ Not in whitelist: {hostname} not matched by {trusted_list}"
|
||||
return False, reason
|
||||
|
||||
except Exception as e:
|
||||
return False, f"Validation error: {e}"
|
||||
|
||||
|
||||
def print_test_result(test_name: str, url: str, trusted_domains: str, expected: bool):
|
||||
"""Pretty print a test result."""
|
||||
is_valid, reason = validate_domain_whitelist(url, trusted_domains)
|
||||
status = "✓ PASS" if is_valid == expected else "✗ FAIL"
|
||||
|
||||
print(f"\n{status} | {test_name}")
|
||||
print(f" URL: {url}")
|
||||
print(f" Domains: {trusted_domains}")
|
||||
print(f" Result: {reason}")
|
||||
|
||||
|
||||
# Test Cases
|
||||
if __name__ == "__main__":
|
||||
print("=" * 70)
|
||||
print("Domain Whitelist Validation Tests")
|
||||
print("=" * 70)
|
||||
|
||||
# ========== Scenario 1: GitHub Only ==========
|
||||
print("\n" + "🔹" * 35)
|
||||
print("Scenario 1: GitHub Domain Only")
|
||||
print("🔹" * 35)
|
||||
|
||||
github_domains = "github.com"
|
||||
|
||||
print_test_result(
|
||||
"GitHub exact domain",
|
||||
"https://github.com/Fu-Jie/openwebui-extensions",
|
||||
github_domains,
|
||||
expected=True,
|
||||
)
|
||||
|
||||
print_test_result(
|
||||
"GitHub API subdomain",
|
||||
"https://api.github.com/repos/Fu-Jie/openwebui-extensions",
|
||||
github_domains,
|
||||
expected=True,
|
||||
)
|
||||
|
||||
print_test_result(
|
||||
"GitHub Gist subdomain",
|
||||
"https://gist.github.com/Fu-Jie/test",
|
||||
github_domains,
|
||||
expected=True,
|
||||
)
|
||||
|
||||
print_test_result(
|
||||
"GitHub Raw (wrong domain)",
|
||||
"https://raw.githubusercontent.com/Fu-Jie/openwebui-extensions/main/test.py",
|
||||
github_domains,
|
||||
expected=False,
|
||||
)
|
||||
|
||||
# ========== Scenario 2: GitHub + GitHub Raw ==========
|
||||
print("\n" + "🔹" * 35)
|
||||
print("Scenario 2: GitHub + GitHub Raw Content")
|
||||
print("🔹" * 35)
|
||||
|
||||
github_all_domains = "github.com,githubusercontent.com"
|
||||
|
||||
print_test_result(
|
||||
"GitHub Raw (now allowed)",
|
||||
"https://raw.githubusercontent.com/Fu-Jie/openwebui-extensions/main/test.py",
|
||||
github_all_domains,
|
||||
expected=True,
|
||||
)
|
||||
|
||||
print_test_result(
|
||||
"GitHub Raw with subdomain",
|
||||
"https://cdn.jsdelivr.net/gh/Fu-Jie/openwebui-extensions/test.py",
|
||||
github_all_domains,
|
||||
expected=False,
|
||||
)
|
||||
|
||||
# ========== Scenario 3: Multiple Trusted Domains ==========
|
||||
print("\n" + "🔹" * 35)
|
||||
print("Scenario 3: Multiple Trusted Domains")
|
||||
print("🔹" * 35)
|
||||
|
||||
multi_domains = "github.com,huggingface.co,anthropic.com"
|
||||
|
||||
print_test_result(
|
||||
"GitHub domain", "https://github.com/Fu-Jie/test", multi_domains, expected=True
|
||||
)
|
||||
|
||||
print_test_result(
|
||||
"HuggingFace domain",
|
||||
"https://huggingface.co/models/gpt-4",
|
||||
multi_domains,
|
||||
expected=True,
|
||||
)
|
||||
|
||||
print_test_result(
|
||||
"HuggingFace Hub subdomain",
|
||||
"https://hub.huggingface.co/models/gpt-4",
|
||||
multi_domains,
|
||||
expected=True,
|
||||
)
|
||||
|
||||
print_test_result(
|
||||
"Anthropic domain",
|
||||
"https://anthropic.com/research",
|
||||
multi_domains,
|
||||
expected=True,
|
||||
)
|
||||
|
||||
print_test_result(
|
||||
"Untrusted domain",
|
||||
"https://bitbucket.org/Fu-Jie/test",
|
||||
multi_domains,
|
||||
expected=False,
|
||||
)
|
||||
|
||||
# ========== Edge Cases ==========
|
||||
print("\n" + "🔹" * 35)
|
||||
print("Edge Cases")
|
||||
print("🔹" * 35)
|
||||
|
||||
print_test_result(
|
||||
"FTP scheme (not allowed)",
|
||||
"ftp://github.com/Fu-Jie/test",
|
||||
github_domains,
|
||||
expected=False,
|
||||
)
|
||||
|
||||
print_test_result(
|
||||
"File scheme (not allowed)",
|
||||
"file:///etc/passwd",
|
||||
github_domains,
|
||||
expected=False,
|
||||
)
|
||||
|
||||
print_test_result(
|
||||
"Case insensitive domain",
|
||||
"HTTPS://GITHUB.COM/Fu-Jie/test",
|
||||
github_domains,
|
||||
expected=True,
|
||||
)
|
||||
|
||||
print_test_result(
|
||||
"Deep subdomain",
|
||||
"https://api.v2.github.com/repos",
|
||||
github_domains,
|
||||
expected=True,
|
||||
)
|
||||
|
||||
print("\n" + "=" * 70)
|
||||
print("✓ All tests completed!")
|
||||
print("=" * 70)
|
||||
@@ -0,0 +1,224 @@
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
Test suite for source URL injection feature in skill content.
|
||||
Tests that installation source URLs are properly appended to skill content.
|
||||
"""
|
||||
|
||||
import re
|
||||
import sys
|
||||
|
||||
# Add plugin directory to path
|
||||
sys.path.insert(
|
||||
0,
|
||||
"/Users/fujie/app/python/oui/openwebui-extensions/plugins/tools/openwebui-skills-manager",
|
||||
)
|
||||
|
||||
|
||||
def _append_source_url_to_content(content: str, url: str, lang: str = "en-US") -> str:
|
||||
"""
|
||||
Append installation source URL information to skill content.
|
||||
Adds a reference link at the bottom of the content.
|
||||
"""
|
||||
if not content or not url:
|
||||
return content
|
||||
|
||||
# Remove any existing source references (to prevent duplication when updating)
|
||||
content = re.sub(
|
||||
r"\n*---\n+\*\*Installation Source.*?\*\*:.*?\n+---\n*$",
|
||||
"",
|
||||
content,
|
||||
flags=re.DOTALL | re.IGNORECASE,
|
||||
)
|
||||
|
||||
# Determine the appropriate language for the label
|
||||
source_label = {
|
||||
"en-US": "Installation Source",
|
||||
"zh-CN": "安装源",
|
||||
"zh-TW": "安裝來源",
|
||||
"zh-HK": "安裝來源",
|
||||
"ja-JP": "インストールソース",
|
||||
"ko-KR": "설치 소스",
|
||||
"fr-FR": "Source d'installation",
|
||||
"de-DE": "Installationsquelle",
|
||||
"es-ES": "Fuente de instalación",
|
||||
}.get(lang, "Installation Source")
|
||||
|
||||
reference_text = {
|
||||
"en-US": "For additional related files or documentation, you can reference the installation source below:",
|
||||
"zh-CN": "如需获取相关文件或文档,可以参考下面的安装源:",
|
||||
"zh-TW": "如需獲取相關檔案或文件,可以參考下面的安裝來源:",
|
||||
"zh-HK": "如需獲取相關檔案或文件,可以參考下面的安裝來源:",
|
||||
"ja-JP": "関連ファイルまたはドキュメントについては、以下のインストールソースを参照できます:",
|
||||
"ko-KR": "관련 파일 또는 문서를 확인하려면 아래 설치 소스를 참조할 수 있습니다:",
|
||||
"fr-FR": "Pour obtenir des fichiers ou des documents connexes, vous pouvez vous reporter à la source d'installation ci-dessous :",
|
||||
"de-DE": "Für zusätzliche verwandte Dateien oder Dokumentation können Sie die folgende Installationsquelle referenzieren:",
|
||||
"es-ES": "Para archivos o documentación relacionados, puede consultar la siguiente fuente de instalación:",
|
||||
}.get(
|
||||
lang,
|
||||
"For additional related files or documentation, you can reference the installation source below:",
|
||||
)
|
||||
|
||||
# Append source URL with reference
|
||||
source_block = (
|
||||
f"\n\n---\n**{source_label}**: [{url}]({url})\n\n*{reference_text}*\n---"
|
||||
)
|
||||
return content + source_block
|
||||
|
||||
|
||||
def test_append_source_url_english():
|
||||
content = "# My Skill\n\nThis is my awesome skill."
|
||||
url = "https://github.com/user/repo/blob/main/SKILL.md"
|
||||
result = _append_source_url_to_content(content, url, "en-US")
|
||||
assert "Installation Source" in result, "English label missing"
|
||||
assert url in result, "URL not found in result"
|
||||
assert "additional related files" in result, "Reference text missing"
|
||||
assert "---" in result, "Separator missing"
|
||||
print("✅ Test 1 passed: English source URL injection")
|
||||
|
||||
|
||||
def test_append_source_url_chinese():
|
||||
content = "# 我的技能\n\n这是我的神奇技能。"
|
||||
url = "https://github.com/用户/仓库/blob/main/SKILL.md"
|
||||
result = _append_source_url_to_content(content, url, "zh-CN")
|
||||
assert "安装源" in result, "Chinese label missing"
|
||||
assert url in result, "URL not found in result"
|
||||
assert "相关文件" in result, "Chinese reference text missing"
|
||||
print("✅ Test 2 passed: Chinese (Simplified) source URL injection")
|
||||
|
||||
|
||||
def test_append_source_url_traditional_chinese():
|
||||
content = "# 我的技能\n\n這是我的神奇技能。"
|
||||
url = "https://raw.githubusercontent.com/user/repo/main/SKILL.md"
|
||||
result = _append_source_url_to_content(content, url, "zh-HK")
|
||||
assert "安裝來源" in result, "Traditional Chinese label missing"
|
||||
assert url in result, "URL not found in result"
|
||||
print("✅ Test 3 passed: Traditional Chinese (HK) source URL injection")
|
||||
|
||||
|
||||
def test_append_source_url_japanese():
|
||||
content = "# 私のスキル\n\nこれは素晴らしいスキルです。"
|
||||
url = "https://github.com/user/repo/tree/main/skills"
|
||||
result = _append_source_url_to_content(content, url, "ja-JP")
|
||||
assert "インストールソース" in result, "Japanese label missing"
|
||||
assert url in result, "URL not found in result"
|
||||
print("✅ Test 4 passed: Japanese source URL injection")
|
||||
|
||||
|
||||
def test_append_source_url_korean():
|
||||
content = "# 내 기술\n\n이것은 놀라운 기술입니다."
|
||||
url = "https://example.com/skill.zip"
|
||||
result = _append_source_url_to_content(content, url, "ko-KR")
|
||||
assert "설치 소스" in result, "Korean label missing"
|
||||
assert url in result, "URL not found in result"
|
||||
print("✅ Test 5 passed: Korean source URL injection")
|
||||
|
||||
|
||||
def test_append_source_url_french():
|
||||
content = "# Ma Compétence\n\nCeci est ma compétence géniale."
|
||||
url = "https://github.com/user/repo/releases/download/v1.0/skill.tar.gz"
|
||||
result = _append_source_url_to_content(content, url, "fr-FR")
|
||||
assert "Source d'installation" in result, "French label missing"
|
||||
assert url in result, "URL not found in result"
|
||||
print("✅ Test 6 passed: French source URL injection")
|
||||
|
||||
|
||||
def test_append_source_url_german():
|
||||
content = "# Meine Fähigkeit\n\nDies ist meine großartige Fähigkeit."
|
||||
url = "https://github.com/owner/skill-repo"
|
||||
result = _append_source_url_to_content(content, url, "de-DE")
|
||||
assert "Installationsquelle" in result, "German label missing"
|
||||
assert url in result, "URL not found in result"
|
||||
print("✅ Test 7 passed: German source URL injection")
|
||||
|
||||
|
||||
def test_append_source_url_spanish():
|
||||
content = "# Mi Habilidad\n\nEsta es mi habilidad sorprendente."
|
||||
url = "https://github.com/usuario/repositorio"
|
||||
result = _append_source_url_to_content(content, url, "es-ES")
|
||||
assert "Fuente de instalación" in result, "Spanish label missing"
|
||||
assert url in result, "URL not found in result"
|
||||
print("✅ Test 8 passed: Spanish source URL injection")
|
||||
|
||||
|
||||
def test_deduplication_on_update():
|
||||
content_with_source = """# Test Skill
|
||||
|
||||
This is a test skill.
|
||||
|
||||
---
|
||||
**Installation Source**: [https://old-url.com](https://old-url.com)
|
||||
|
||||
*For additional related files...*
|
||||
---"""
|
||||
new_url = "https://new-url.com"
|
||||
result = _append_source_url_to_content(content_with_source, new_url, "en-US")
|
||||
match_count = len(re.findall(r"\*\*Installation Source\*\*", result))
|
||||
assert match_count == 1, f"Expected 1 source section, found {match_count}"
|
||||
assert new_url in result, "New URL not found in result"
|
||||
assert "https://old-url.com" not in result, "Old URL should be removed"
|
||||
print("✅ Test 9 passed: Source URL deduplication on update")
|
||||
|
||||
|
||||
def test_empty_content_edge_case():
|
||||
result = _append_source_url_to_content("", "https://example.com", "en-US")
|
||||
assert result == "", "Empty content should return empty"
|
||||
print("✅ Test 10 passed: Empty content edge case")
|
||||
|
||||
|
||||
def test_empty_url_edge_case():
|
||||
content = "# Test"
|
||||
result = _append_source_url_to_content(content, "", "en-US")
|
||||
assert result == content, "Empty URL should not modify content"
|
||||
print("✅ Test 11 passed: Empty URL edge case")
|
||||
|
||||
|
||||
def test_markdown_formatting_preserved():
|
||||
content = """# Main Title
|
||||
|
||||
## Section 1
|
||||
- Item 1
|
||||
- Item 2
|
||||
|
||||
## Section 2
|
||||
```python
|
||||
def example():
|
||||
pass
|
||||
```
|
||||
|
||||
More content here."""
|
||||
|
||||
url = "https://github.com/example"
|
||||
result = _append_source_url_to_content(content, url, "en-US")
|
||||
assert "# Main Title" in result, "Main title lost"
|
||||
assert "## Section 1" in result, "Section 1 lost"
|
||||
assert "def example():" in result, "Code block lost"
|
||||
assert url in result, "URL not properly added"
|
||||
print("✅ Test 12 passed: Markdown formatting preserved")
|
||||
|
||||
|
||||
def test_url_with_special_characters():
|
||||
content = "# Test"
|
||||
url = "https://github.com/user/repo?ref=main&version=1.0#section"
|
||||
result = _append_source_url_to_content(content, url, "en-US")
|
||||
assert result.count(url) == 2, "URL should appear twice in [url](url) format"
|
||||
print("✅ Test 13 passed: URL with special characters")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
print("🧪 Running source URL injection tests...\n")
|
||||
test_append_source_url_english()
|
||||
test_append_source_url_chinese()
|
||||
test_append_source_url_traditional_chinese()
|
||||
test_append_source_url_japanese()
|
||||
test_append_source_url_korean()
|
||||
test_append_source_url_french()
|
||||
test_append_source_url_german()
|
||||
test_append_source_url_spanish()
|
||||
test_deduplication_on_update()
|
||||
test_empty_content_edge_case()
|
||||
test_empty_url_edge_case()
|
||||
test_markdown_formatting_preserved()
|
||||
test_url_with_special_characters()
|
||||
print(
|
||||
"\n✅ All 13 tests passed! Source URL injection feature is working correctly."
|
||||
)
|
||||
File diff suppressed because it is too large
Load Diff
14
plugins/tools/openwebui-skills-manager/v0.3.0.md
Normal file
14
plugins/tools/openwebui-skills-manager/v0.3.0.md
Normal file
@@ -0,0 +1,14 @@
|
||||
# OpenWebUI Skills Manager v0.3.0 Release Notes
|
||||
|
||||
This release introduces significant reliability enhancements for the auto-discovery mechanism, enables overwrite by default, and undergoes a major architectural refactor.
|
||||
|
||||
### New Features
|
||||
- **Enhanced Directory Discovery**: Replaced single-directory scan with a deep recursive Git trees search, ensuring `SKILL.md` files in nested subdirectories are properly discovered.
|
||||
- **Default Overwrite Mode**: `ALLOW_OVERWRITE_ON_CREATE` is now enabled (`True`) by default. Skills installed or created with the same name will be overwritten instead of throwing an error.
|
||||
|
||||
### Bug Fixes
|
||||
- **Deep Module Discovery**: Fixed an issue where the `install_skill` auto-discovery function would fail to find nested skills when given a root directory (e.g., when `SKILL.md` is hidden inside `plugins/visual-explainer/` rather than the immediate root). Resolves [#58](https://github.com/Fu-Jie/openwebui-extensions/issues/58).
|
||||
- **Missing Positional Arguments**: Fixed an issue where `_emit_status` and `_emit_notification` would crash due to missing `valves` parameter references after the stateless codebase refactoring.
|
||||
|
||||
### Enhancements
|
||||
- **Code Refactor**: Decoupled all internal helper methods from the `Tools` class to global scope, making the codebase stateless, cleaner, and strictly enforcing context injection.
|
||||
14
plugins/tools/openwebui-skills-manager/v0.3.0_CN.md
Normal file
14
plugins/tools/openwebui-skills-manager/v0.3.0_CN.md
Normal file
@@ -0,0 +1,14 @@
|
||||
# OpenWebUI Skills Manager v0.3.0 版本发布说明
|
||||
|
||||
此版本引入了自动发现机制的重大可靠性增强,默认启用了覆盖安装,并进行了底层架构的全面重构。
|
||||
|
||||
### 新功能
|
||||
- **增强目录发现机制**:将原先单层目录扫描替换为深层递归的 Git 树级搜索,确保能正确发现嵌套子目录中的 `SKILL.md` 文件。
|
||||
- **默认覆盖安装**:默认开启 `ALLOW_OVERWRITE_ON_CREATE` 阀门(`True`),遇到同名技能时会自动更新替换,而不再报错中断。
|
||||
|
||||
### 问题修复
|
||||
- **深度模块发现修复**:彻底解决了当通过根目录批量安装技能时,自动发现工具无法跨层级深入寻找嵌套技能的问题(例如当 `SKILL.md` 深藏于 `plugins/visual-explainer/` 目录中时会报错资源未找到)。解决 [#58](https://github.com/Fu-Jie/openwebui-extensions/issues/58)。
|
||||
- **缺失位置参数报错修复**:修复了在架构解耦出全局函数后,因缺少传入 `valves` 参数配置导致 `_emit_status` 和 `_emit_notification` 状态回传工具在后台抛出缺失参数异常的问题。
|
||||
|
||||
### 优化提升
|
||||
- **架构重构**:将原 `Tools` 类内部的大量辅助函数抽离至全局作用域,实现了更纯粹的无状态组件拆分和更严格的上下文注入设计。
|
||||
@@ -1,6 +1,6 @@
|
||||
# MkDocs Documentation Dependencies
|
||||
# Core MkDocs
|
||||
mkdocs>=1.5.0
|
||||
mkdocs>=1.5.0,<2.0.0
|
||||
|
||||
# Material Theme for MkDocs
|
||||
mkdocs-material>=9.5.0
|
||||
|
||||
26
scripts/.env.example
Normal file
26
scripts/.env.example
Normal file
@@ -0,0 +1,26 @@
|
||||
# OpenWebUI Bulk Installer Configuration
|
||||
#
|
||||
# Instructions:
|
||||
# - api_key: Copy from OpenWebUI Settings (starts with sk-)
|
||||
# - url: OpenWebUI server address (supports localhost, IP, and domain)
|
||||
#
|
||||
# URL Examples:
|
||||
# - Local: http://localhost:3000
|
||||
# - Remote IP: http://192.168.1.10:3000
|
||||
# - Domain: https://openwebui.example.com
|
||||
#
|
||||
# Environment variable precedence (highest to lowest):
|
||||
# 1. OPENWEBUI_API_KEY / OPENWEBUI_URL environment variables
|
||||
# 2. OPENWEBUI_BASE_URL environment variable
|
||||
# 3. Configuration in this .env file
|
||||
|
||||
# API Key (required)
|
||||
api_key=sk-your-api-key-here
|
||||
|
||||
# OpenWebUI server address (required)
|
||||
# Configure the baseURL where your OpenWebUI instance is running
|
||||
url=http://localhost:3000
|
||||
|
||||
# Alternatively, use environment variable format (both methods are equivalent)
|
||||
# OPENWEBUI_API_KEY=sk-your-api-key-here
|
||||
# OPENWEBUI_BASE_URL=http://localhost:3000
|
||||
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Reference in New Issue
Block a user