diff --git a/examples/basic-usage/README.md b/examples/basic-usage/README.md index 0b7e08a9a..3bfc2fb76 100644 --- a/examples/basic-usage/README.md +++ b/examples/basic-usage/README.md @@ -1,82 +1,93 @@ -# Basic Usage Example: Getting Started with OpenViking Python SDK +# Basic Usage Example: OpenViking Python SDK -This example demonstrates the core features of OpenViking using the Python SDK. It covers the essential operations for building AI Agent applications with persistent context management. +This example is the shortest path to understanding OpenViking's core Python SDK workflow: +initialize a client, ingest a resource, browse the `viking://` filesystem, retrieve context, +and create a session that can later be committed into long-term memory. -## What You'll Learn +It is intentionally SDK-first. If you want production deployment, shared access, or MCP client +integration, use this example as the foundation and then move to the server and MCP guides linked below. -- **Initializing OpenViking**: Embedded mode vs HTTP client mode -- **Adding Resources**: URLs, files, and directories -- **Browsing the Virtual Filesystem**: Using `ls`, `tree`, `glob` -- **Semantic Search**: Finding relevant context with `find` and `search` -- **Tiered Context Loading**: Using L0 (abstract), L1 (overview), L2 (full content) -- **Session Management**: Storing and recalling conversation memories +## What This Example Covers + +- Embedded SDK usage for local exploration +- HTTP client usage for server mode +- Resource ingestion from a remote URL +- Filesystem-style access with `ls`, `tree`, and `read` +- Retrieval with `find`, `abstract`, `overview`, and `grep` +- Session creation and message appending for memory workflows + +## Choose the Right Mode + +OpenViking currently has three common integration paths: + +| Mode | Best for | Recommended? | +|------|----------|--------------| +| Embedded SDK | Single-process local experimentation | Yes, for first contact | +| HTTP server + SDK/CLI | Shared service, multi-session, multi-agent workloads | Yes, preferred for real deployments | +| MCP | Claude Code, Cursor, Claude Desktop, OpenClaw, and other MCP hosts | Yes, for tool-based client integration | + +If you are building anything beyond a one-process local demo, prefer HTTP server mode over spawning isolated local processes repeatedly. For MCP specifically, follow the dedicated [MCP Integration Guide](../../docs/en/guides/06-mcp-integration.md). ## Prerequisites -1. **Python 3.10+** -2. **OpenViking installed**: - ```bash - pip install openviking --upgrade - ``` -3. **Configuration file** at `~/.openviking/ov.conf` (see [Configuration](#configuration) below) +1. Python 3.10+ +2. OpenViking installed: + +```bash +pip install openviking --upgrade --force-reinstall +``` + +3. A valid config file at `~/.openviking/ov.conf` ## Quick Start ### 1. Run the Example Script ```bash -# Clone the repository git clone https://github.com/volcengine/OpenViking.git cd OpenViking/examples/basic-usage - -# Run the basic usage example python basic_usage.py ``` -### 2. Expected Output - -``` -=== OpenViking Basic Usage Example === +The script uses embedded mode by default: -1. Initializing OpenViking... - Status: healthy +```python +import openviking as ov -2. Adding a resource (URL)... - Root URI: viking://resources/raw.githubusercontent.com/volcengine/OpenViking/refs/heads/main/README.md - Files indexed: 1 +client = ov.OpenViking(path="./data") +client.initialize() +``` -3. Browsing the virtual filesystem... - viking://resources/raw.githubusercontent.com/volcengine/OpenViking/refs/heads/main/ - └── README.md +To point the same flow at a running server instead, switch to: -4. Waiting for semantic processing... +```python +import openviking as ov -5. Tiered Context Loading: - L0 (Abstract): OpenViking is an open-source Context Database designed specifically for AI Agents... +client = ov.SyncHTTPClient(url="http://localhost:1933") +client.initialize() +``` - L1 (Overview): - [Contains key points and usage scenarios] +See the dedicated [Server Mode Quick Start](../../docs/en/getting-started/03-quickstart-server.md) for the recommended shared-service setup. -6. Semantic Search: - Query: "what is openviking" - Results: - - viking://resources/.../README.md (score: 0.8523) +### 2. What the Script Demonstrates -7. Content search (grep): - Pattern: "Agent" - Found 15 matches +`basic_usage.py` walks through the same sequence most applications need: -8. Closing OpenViking... - Done! -``` +1. Initialize a client and verify health. +2. Add a resource from a URL. +3. Inspect the resulting `viking://resources/...` tree. +4. Wait for semantic processing. +5. Load L0/L1/L2 context with `abstract`, `overview`, and `read`. +6. Run retrieval with `find`. +7. Run literal content search with `grep`. +8. Create a session and append messages for later memory extraction. ## Code Walkthrough ### Initialization -OpenViking supports two modes: +Use embedded mode for a local first run: -**Embedded Mode** (default for local development): ```python import openviking as ov @@ -84,123 +95,136 @@ client = ov.OpenViking(path="./data") client.initialize() ``` -**HTTP Client Mode** (connect to remote server): +Use HTTP client mode when OpenViking runs as a separate service: + ```python import openviking as ov client = ov.SyncHTTPClient(url="http://localhost:1933") +client.initialize() +``` + +If server authentication is enabled, use a `user_key` for normal data access: + +```python +client = ov.SyncHTTPClient( + url="http://localhost:1933", + api_key="", + agent_id="my-agent", +) ``` -> **Multi-tenant auth**: If the server has authentication enabled, use a `user_key` (recommended): -> ```python -> client = ov.SyncHTTPClient(url="http://localhost:1933", api_key="") -> ``` -> A `root_key` cannot directly call tenant-scoped APIs like `add_resource` or `find` — it requires `account` and `user` parameters. See [Authentication](../../docs/en/guides/04-authentication.md) and [Server Quickstart](../../docs/en/getting-started/03-quickstart-server.md). +`root_key` is for administrative access. It does not directly work with tenant-scoped APIs such as +`add_resource`, `find`, or `ls` unless you also pass `account` and `user`. +See [Authentication](../../docs/en/guides/04-authentication.md) and [Server Mode Quick Start](../../docs/en/getting-started/03-quickstart-server.md). -### Adding Resources +### Resource Ingestion -Add URLs, local files, or directories: +Add a URL, local file, or directory: ```python -# Add a URL result = client.add_resource( - path="https://example.com/documentation", - wait=True # Wait for semantic processing + path="https://example.com/docs", + wait=False, ) -# Add a local file -result = client.add_resource( - path="/path/to/your/document.pdf" -) +result = client.add_resource(path="/path/to/manual.pdf") -# Add a directory (repository) result = client.add_resource( - path="/path/to/your/project", - instruction="This is a Python web application" + path="/path/to/repo", + instruction="This is a Python web application", ) ``` -### Browsing the Filesystem +For scripts and demos, `wait=True` is fine. In long-running applications, it is often better to ingest +asynchronously and call `wait_processed()` when you actually need the indexed result. -OpenViking uses a virtual filesystem paradigm with `viking://` URIs: +### Filesystem Access + +OpenViking organizes context as a virtual filesystem: ```python -# List directory contents files = client.ls("viking://resources/") - -# Show directory tree tree = client.tree("viking://resources/my-project", level_limit=3) - -# Find files by pattern -matches = client.glob("**/*.md", uri="viking://resources/my-project") +content = client.read("viking://resources/my-project/README.md") ``` -### Semantic Search +This same URI model applies to memories and skills as well: + +- `viking://resources/` +- `viking://user/memories/` +- `viking://agent/memories/` +- `viking://agent/skills/` -Find context using natural language queries: +### Retrieval + +Use `find` for fast semantic search and `search` for more advanced retrieval: ```python -# Quick semantic search results = client.find( - query="how to handle API authentication", + query="how does authentication work", target_uri="viking://resources/my-project", - limit=5 + limit=5, ) -# Advanced search with intent analysis results = client.search( - query="database connection configuration and error handling", + query="database configuration and failure handling", target_uri="viking://resources/", - limit=10 + limit=10, ) ``` -### Tiered Context Loading - -OpenViking processes content into three layers for efficient retrieval: +Use tiered loading after retrieval: ```python uri = "viking://resources/my-project/docs/api.md" -# L0: Quick abstract (~100 tokens) abstract = client.abstract(uri) - -# L1: Overview with key points (~2k tokens) overview = client.overview(uri) - -# L2: Full content content = client.read(uri) ``` -### Session Management +Use `grep` when you need literal text matching instead of semantic retrieval: -Store conversation memories for long-term recall: +```python +result = client.grep("viking://resources/my-project", "Agent", case_insensitive=True) +matches = result.get("matches", []) +``` + +### Sessions and Long-Term Memory + +The example script creates a session and appends messages: ```python -# Create a session session_info = client.create_session() session_id = session_info["session_id"] -# Add conversation messages client.add_message(session_id, "user", "I prefer TypeScript over JavaScript") -client.add_message(session_id, "assistant", "Noted! I'll use TypeScript in your projects.") +client.add_message(session_id, "assistant", "Understood. I will use TypeScript where appropriate.") +``` + +To extract durable memories from that conversation, commit the session: -# Commit session to extract long-term memories +```python client.commit_session(session_id) +``` -# Later, recall relevant memories +After commit, you can retrieve those memories through normal search APIs: + +```python memories = client.find( query="user programming preferences", - target_uri="viking://user/memories/" + target_uri="viking://user/memories/", ) ``` ## Configuration -Create `~/.openviking/ov.conf` with your model provider settings: +Create `~/.openviking/ov.conf` with storage, embedding, and VLM settings. A minimal local setup looks like this: ```json { + "server": { "host": "127.0.0.1", "port": 1933 }, "storage": { "workspace": "~/.openviking/data" }, @@ -220,88 +244,27 @@ Create `~/.openviking/ov.conf` with your model provider settings: } ``` -> **Tip**: You can also use Volcengine (Doubao), Azure OpenAI, or LiteLLM (supports Anthropic, DeepSeek, Gemini, etc.). See the main README for provider-specific configuration. - -## Use Cases - -### Building a Documentation-Aware Agent - -```python -import openviking as ov - -class DocumentationAgent: - def __init__(self): - self.ov = ov.OpenViking(path="./data") - self.ov.initialize() - - def ingest_docs(self, doc_path: str): - """Add documentation to the knowledge base.""" - self.ov.add_resource(doc_path, wait=True) - - def answer(self, question: str) -> str: - """Find relevant documentation and answer.""" - results = self.ov.find(question, limit=3) - - context = [] - for r in results.resources: - content = self.ov.read(r.uri) - context.append(content) - - # Use context with your LLM to generate answer - return context - -# Usage -agent = DocumentationAgent() -agent.ingest_docs("https://docs.python.org/3/") -agent.ingest_docs("/path/to/your/project/docs") -``` - -### Creating a Memory-Aware Assistant - -```python -import openviking as ov - -class MemoryAssistant: - def __init__(self, user_id: str): - self.ov = ov.SyncHTTPClient(url="http://localhost:1933") - self.user_id = user_id - self.session_id = None - - def start_conversation(self): - """Start a new conversation session.""" - session = self.ov.create_session() - self.session_id = session["session_id"] - - def remember(self, user_input: str, assistant_response: str): - """Store conversation turn.""" - self.ov.add_message(self.session_id, "user", user_input) - self.ov.add_message(self.session_id, "assistant", assistant_response) - - def recall(self, query: str) -> list: - """Recall relevant memories.""" - return self.ov.find(query, target_uri="viking://user/memories/") - - def end_conversation(self): - """Extract long-term memories from session.""" - self.ov.commit_session(self.session_id) -``` +You can also use Volcengine, Azure OpenAI, or LiteLLM-backed providers. For current provider-specific examples, check the main [README](../../README.md) and the [Configuration Guide](../../docs/en/guides/01-configuration.md). -## Next Steps +## Recommended Next Steps -- **[OpenClaw Plugin](../openclaw-plugin/)**: Integrate with OpenClaw AI assistant -- **[Claude Memory Plugin](../claude-memory-plugin/)**: Use with Claude Code -- **[OpenCode Memory Plugin](../opencode-memory-plugin/)**: Integrate with OpenCode -- **[Skills Examples](../skills/)**: CLI-based search and management skills +- [Configuration Guide](../../docs/en/guides/01-configuration.md): review the current config model before moving to shared deployments. +- [Server Mode Quick Start](../../docs/en/getting-started/03-quickstart-server.md): set up `openviking-server` properly. +- [MCP Integration Guide](../../docs/en/guides/06-mcp-integration.md): connect OpenViking to Claude Code, Cursor, Claude Desktop, or OpenClaw. +- [Claude Code Memory Plugin](../claude-code-memory-plugin/README.md): use OpenViking as long-term memory inside Claude Code. +- [OpenCode Memory Plugin](../opencode-memory-plugin/README.md): use OpenViking memory tools inside OpenCode. +- [OpenClaw Plugin](../openclaw-plugin/README.md): integrate OpenViking with OpenClaw. ## Troubleshooting -| Issue | Solution | -|-------|----------| -| `ImportError: pyagfs not found` | Run: `pip install -e third_party/agfs/agfs-sdk/python` from source | -| `Connection refused` | Ensure OpenViking server is running: `openviking-server` | -| `API key error` | Check your `~/.openviking/ov.conf` configuration | -| `Slow semantic processing` | Wait for `wait_processed()` or use `add_resource(..., wait=True)` | +| Issue | What to check | +|-------|---------------| +| `ImportError` or local extension issues | Reinstall `openviking`; if developing from source, ensure local build dependencies are available. | +| `Connection refused` in HTTP mode | Start `openviking-server` and verify `http://localhost:1933/health`. | +| Tenant/auth errors | Prefer `user_key` for normal data APIs; use `root_key` only with explicit tenant headers. | +| Slow or empty search results right after ingestion | Wait for `wait_processed()` or ingest with `wait=True`. | +| Multiple clients or sessions competing for local storage | Use HTTP server mode instead of spinning up separate local processes. | ## License -Apache License 2.0 \ No newline at end of file +Apache License 2.0 diff --git a/examples/basic-usage/README_CN.md b/examples/basic-usage/README_CN.md index d787d3d35..19667fb83 100644 --- a/examples/basic-usage/README_CN.md +++ b/examples/basic-usage/README_CN.md @@ -1,82 +1,94 @@ -# 基础使用示例:OpenViking Python SDK 快速入门 +# 基础使用示例:OpenViking Python SDK -本示例演示如何使用 Python SDK 操作 OpenViking 的核心功能,涵盖构建 AI 智能体应用所需的基本操作。 +这个示例的目标很明确:用最短路径带你理解 OpenViking Python SDK 的核心工作流。 +你会从初始化客户端开始,完成资源导入、`viking://` 文件系统浏览、上下文检索, +以及创建一个后续可以提交为长期记忆的会话。 -## 你将学到什么 +它是一个典型的 SDK 入门示例。如果你要做生产部署、共享服务或者 MCP 集成, +请把它当作基础,然后继续看下方链接到的服务端和 MCP 文档。 -- **初始化 OpenViking**:嵌入式模式与 HTTP 客户端模式 -- **添加资源**:URL、文件和目录 -- **浏览虚拟文件系统**:使用 `ls`、`tree`、`glob` -- **语义搜索**:使用 `find` 和 `search` 查找相关上下文 -- **分层上下文加载**:L0(摘要)、L1(概览)、L2(完整内容) -- **会话管理**:存储和召回对话记忆 +## 这个示例覆盖什么 + +- 本地快速试用时的嵌入式 SDK 用法 +- 服务端模式下的 HTTP 客户端用法 +- 从远程 URL 导入资源 +- 使用 `ls`、`tree`、`read` 浏览 `viking://` 文件系统 +- 使用 `find`、`abstract`、`overview`、`grep` 做检索和加载 +- 创建 session 并追加消息,为后续记忆提取做准备 + +## 先选对接入方式 + +目前 OpenViking 常见有三种接入路径: + +| 模式 | 适合场景 | 是否推荐 | +|------|----------|----------| +| 嵌入式 SDK | 单进程、本地试用、快速验证 | 是,适合第一次上手 | +| HTTP 服务端 + SDK/CLI | 共享服务、多会话、多 Agent | 是,正式使用优先 | +| MCP | Claude Code、Cursor、Claude Desktop、OpenClaw 等 MCP 宿主 | 是,工具化集成优先 | + +如果不是单进程本地 demo,而是要长期运行或多端接入,优先使用 HTTP 服务端模式。 +如果你是给 Claude Code、Cursor 这类客户端接入,请直接看 [MCP 集成指南](../../docs/zh/guides/06-mcp-integration.md)。 ## 前置条件 -1. **Python 3.10+** -2. **安装 OpenViking**: - ```bash - pip install openviking --upgrade - ``` -3. **配置文件** 位于 `~/.openviking/ov.conf`(见下方[配置说明](#配置说明)) +1. Python 3.10+ +2. 安装 OpenViking: + +```bash +pip install openviking --upgrade --force-reinstall +``` + +3. 准备好 `~/.openviking/ov.conf` ## 快速开始 ### 1. 运行示例脚本 ```bash -# 克隆仓库 git clone https://github.com/volcengine/OpenViking.git cd OpenViking/examples/basic-usage - -# 运行基础使用示例 python basic_usage.py ``` -### 2. 预期输出 - -``` -=== OpenViking 基础使用示例 === +脚本默认使用嵌入式模式: -1. 初始化 OpenViking... - 状态: healthy +```python +import openviking as ov -2. 添加资源 (URL)... - 根 URI: viking://resources/raw.githubusercontent.com/volcengine/OpenViking/refs/heads/main/README.md - 已索引文件: 1 +client = ov.OpenViking(path="./data") +client.initialize() +``` -3. 浏览虚拟文件系统... - viking://resources/raw.githubusercontent.com/volcengine/OpenViking/refs/heads/main/ - └── README.md +如果你想把同样的流程切到服务端模式,改成: -4. 等待语义处理... +```python +import openviking as ov -5. 分层上下文加载: - L0 (摘要): OpenViking 是专为 AI 智能体设计的开源上下文数据库... +client = ov.SyncHTTPClient(url="http://localhost:1933") +client.initialize() +``` - L1 (概览): - [包含核心要点和使用场景] +服务端的推荐启动方式见 [快速开始:服务端模式](../../docs/zh/getting-started/03-quickstart-server.md)。 -6. 语义搜索: - 查询: "what is openviking" - 结果: - - viking://resources/.../README.md (得分: 0.8523) +### 2. 脚本演示了什么 -7. 内容搜索 (grep): - 模式: "Agent" - 找到 15 处匹配 +`basic_usage.py` 基本覆盖了大多数应用的第一条链路: -8. 关闭 OpenViking... - 完成! -``` +1. 初始化客户端并检查健康状态。 +2. 从 URL 添加一个资源。 +3. 查看生成的 `viking://resources/...` 树。 +4. 等待语义处理完成。 +5. 用 `abstract`、`overview`、`read` 加载 L0/L1/L2 上下文。 +6. 用 `find` 做语义检索。 +7. 用 `grep` 做字面内容检索。 +8. 创建 session 并追加消息,为记忆提取做准备。 -## 代码详解 +## 代码说明 ### 初始化 -OpenViking 支持两种模式: +本地首次试用建议先用嵌入式模式: -**嵌入式模式**(本地开发默认): ```python import openviking as ov @@ -84,123 +96,137 @@ client = ov.OpenViking(path="./data") client.initialize() ``` -**HTTP 客户端模式**(连接远程服务器): +如果 OpenViking 作为独立服务运行,则使用 HTTP 客户端: + ```python import openviking as ov client = ov.SyncHTTPClient(url="http://localhost:1933") +client.initialize() +``` + +如果服务端启用了认证,普通数据访问请优先使用 `user_key`: + +```python +client = ov.SyncHTTPClient( + url="http://localhost:1933", + api_key="", + agent_id="my-agent", +) ``` -> **多租户认证**:如果服务端启用了认证,请使用 `user_key`(推荐): -> ```python -> client = ov.SyncHTTPClient(url="http://localhost:1933", api_key="") -> ``` -> `root_key` 不能直接用于 `add_resource`、`find` 等租户级 API,必须同时传入 `account` 和 `user`。详见 [认证文档](../../docs/zh/guides/04-authentication.md) 和 [快速开始:服务端模式](../../docs/zh/getting-started/03-quickstart-server.md)。 +`root_key` 主要用于管理操作。它不能直接调用 `add_resource`、`find`、`ls` 这类租户级 API, +除非同时显式传入 `account` 和 `user`。详见 +[认证文档](../../docs/zh/guides/04-authentication.md) 和 +[快速开始:服务端模式](../../docs/zh/getting-started/03-quickstart-server.md)。 ### 添加资源 -添加 URL、本地文件或目录: +你可以添加 URL、本地文件、目录: ```python -# 添加 URL result = client.add_resource( - path="https://example.com/documentation", - wait=True # 等待语义处理完成 + path="https://example.com/docs", + wait=False, ) -# 添加本地文件 -result = client.add_resource( - path="/path/to/your/document.pdf" -) +result = client.add_resource(path="/path/to/manual.pdf") -# 添加目录(代码仓库) result = client.add_resource( - path="/path/to/your/project", - instruction="这是一个 Python Web 应用" + path="/path/to/repo", + instruction="这是一个 Python Web 应用", ) ``` -### 浏览文件系统 +脚本和 demo 可以直接用 `wait=True`。 +真正的服务里更常见的做法是异步导入,等到你确实需要结果时再调用 `wait_processed()`。 -OpenViking 使用 `viking://` URI 的虚拟文件系统范式: +### 文件系统访问 + +OpenViking 的上下文统一组织在虚拟文件系统里: ```python -# 列出目录内容 files = client.ls("viking://resources/") - -# 显示目录树 tree = client.tree("viking://resources/my-project", level_limit=3) - -# 按模式查找文件 -matches = client.glob("**/*.md", uri="viking://resources/my-project") +content = client.read("viking://resources/my-project/README.md") ``` -### 语义搜索 +同样的 URI 模型也适用于记忆和技能: + +- `viking://resources/` +- `viking://user/memories/` +- `viking://agent/memories/` +- `viking://agent/skills/` -使用自然语言查询查找上下文: +### 检索 + +`find` 适合快速语义检索,`search` 适合更复杂的高级检索: ```python -# 快速语义搜索 results = client.find( - query="如何处理 API 认证", + query="认证逻辑是怎么做的", target_uri="viking://resources/my-project", - limit=5 + limit=5, ) -# 高级搜索(带意图分析) results = client.search( - query="数据库连接配置和错误处理", + query="数据库配置和故障处理", target_uri="viking://resources/", - limit=10 + limit=10, ) ``` -### 分层上下文加载 - -OpenViking 将内容处理为三个层次,实现高效检索: +检索命中后,再按需做分层加载: ```python uri = "viking://resources/my-project/docs/api.md" -# L0: 快速摘要(约 100 tokens) abstract = client.abstract(uri) - -# L1: 概览(约 2k tokens,包含核心要点) overview = client.overview(uri) - -# L2: 完整内容 content = client.read(uri) ``` -### 会话管理 +如果你要的是字面匹配而不是语义检索,用 `grep`: -存储对话记忆以实现长期召回: +```python +result = client.grep("viking://resources/my-project", "Agent", case_insensitive=True) +matches = result.get("matches", []) +``` + +### Session 与长期记忆 + +示例脚本会创建一个 session 并追加消息: ```python -# 创建会话 session_info = client.create_session() session_id = session_info["session_id"] -# 添加对话消息 client.add_message(session_id, "user", "我更喜欢 TypeScript 而不是 JavaScript") -client.add_message(session_id, "assistant", "好的!我会在你的项目中使用 TypeScript。") +client.add_message(session_id, "assistant", "明白了,在合适场景下我会优先使用 TypeScript。") +``` + +如果要把这段对话真正提取成长期记忆,需要提交 session: -# 提交会话以提取长期记忆 +```python client.commit_session(session_id) +``` -# 之后召回相关记忆 +提交后,记忆可以通过正常检索接口再次找回: + +```python memories = client.find( query="用户编程偏好", - target_uri="viking://user/memories/" + target_uri="viking://user/memories/", ) ``` ## 配置说明 -创建 `~/.openviking/ov.conf` 配置文件: +创建 `~/.openviking/ov.conf`,至少需要存储、Embedding、VLM 配置。一个最小本地配置示例如下: ```json { + "server": { "host": "127.0.0.1", "port": 1933 }, "storage": { "workspace": "~/.openviking/data" }, @@ -220,88 +246,27 @@ memories = client.find( } ``` -> **提示**:你也可以使用火山引擎(豆包)、Azure OpenAI 或 LiteLLM(支持 Anthropic、DeepSeek、Gemini 等)。详见主 README 的提供商配置说明。 - -## 应用场景 - -### 构建文档感知智能体 - -```python -import openviking as ov - -class DocumentationAgent: - def __init__(self): - self.ov = ov.OpenViking(path="./data") - self.ov.initialize() - - def ingest_docs(self, doc_path: str): - """将文档添加到知识库""" - self.ov.add_resource(doc_path, wait=True) - - def answer(self, question: str) -> str: - """查找相关文档并回答""" - results = self.ov.find(question, limit=3) - - context = [] - for r in results.resources: - content = self.ov.read(r.uri) - context.append(content) - - # 使用上下文和 LLM 生成回答 - return context - -# 使用 -agent = DocumentationAgent() -agent.ingest_docs("https://docs.python.org/3/") -agent.ingest_docs("/path/to/your/project/docs") -``` - -### 创建记忆感知助手 - -```python -import openviking as ov - -class MemoryAssistant: - def __init__(self, user_id: str): - self.ov = ov.SyncHTTPClient(url="http://localhost:1933") - self.user_id = user_id - self.session_id = None - - def start_conversation(self): - """开始新的对话会话""" - session = self.ov.create_session() - self.session_id = session["session_id"] - - def remember(self, user_input: str, assistant_response: str): - """存储对话轮次""" - self.ov.add_message(self.session_id, "user", user_input) - self.ov.add_message(self.session_id, "assistant", assistant_response) - - def recall(self, query: str) -> list: - """召回相关记忆""" - return self.ov.find(query, target_uri="viking://user/memories/") - - def end_conversation(self): - """从会话中提取长期记忆""" - self.ov.commit_session(self.session_id) -``` +你也可以使用火山引擎、Azure OpenAI、LiteLLM 等提供商。当前配置示例请以主 [README](../../README_CN.md) 和 [配置指南](../../docs/zh/guides/01-configuration.md) 为准。 -## 下一步 +## 推荐下一步 -- **[OpenClaw 插件](../openclaw-plugin/)**:与 OpenClaw AI 助手集成 -- **[Claude 记忆插件](../claude-memory-plugin/)**:在 Claude Code 中使用 -- **[OpenCode 记忆插件](../opencode-memory-plugin/)**:与 OpenCode 集成 -- **[技能示例](../skills/)**:基于 CLI 的搜索和管理技能 +- [配置指南](../../docs/zh/guides/01-configuration.md):先确认当前配置模型,再过渡到共享部署。 +- [快速开始:服务端模式](../../docs/zh/getting-started/03-quickstart-server.md):正确启动 `openviking-server`。 +- [MCP 集成指南](../../docs/zh/guides/06-mcp-integration.md):接入 Claude Code、Cursor、Claude Desktop、OpenClaw 等 MCP 宿主。 +- [Claude Code 记忆插件](../claude-code-memory-plugin/README.md):在 Claude Code 中使用 OpenViking 长期记忆。 +- [OpenCode 记忆插件](../opencode-memory-plugin/README_CN.md):在 OpenCode 中使用 OpenViking 记忆工具。 +- [OpenClaw 插件](../openclaw-plugin/README_CN.md):与 OpenClaw 集成。 ## 常见问题 -| 问题 | 解决方案 | -|------|---------| -| `ImportError: pyagfs not found` | 从源码运行:`pip install -e third_party/agfs/agfs-sdk/python` | -| `Connection refused` | 确保 OpenViking 服务器正在运行:`openviking-server` | -| `API key error` | 检查 `~/.openviking/ov.conf` 配置 | -| `语义处理缓慢` | 等待 `wait_processed()` 或使用 `add_resource(..., wait=True)` | +| 问题 | 排查方向 | +|------|----------| +| `ImportError` 或本地扩展问题 | 重新安装 `openviking`;如果是源码开发,确认本地构建依赖齐全。 | +| HTTP 模式下 `Connection refused` | 启动 `openviking-server`,并检查 `http://localhost:1933/health`。 | +| 租户或认证报错 | 普通数据接口优先使用 `user_key`;`root_key` 仅在显式传入租户信息时使用。 | +| 刚导入后检索慢或搜不到 | 等待 `wait_processed()`,或在导入时直接用 `wait=True`。 | +| 多个客户端或会话争用本地存储 | 不要反复起独立本地进程,改用 HTTP 服务端模式。 | ## 许可证 -Apache License 2.0 \ No newline at end of file +Apache License 2.0 diff --git a/examples/basic-usage/basic_usage.py b/examples/basic-usage/basic_usage.py index 98df833b0..21af4ffc2 100644 --- a/examples/basic-usage/basic_usage.py +++ b/examples/basic-usage/basic_usage.py @@ -17,7 +17,6 @@ import os import sys -import time # Add parent directory to path for local development sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))) @@ -76,7 +75,7 @@ def main(): # Add a URL resource result = client.add_resource( path="https://raw.githubusercontent.com/volcengine/OpenViking/refs/heads/main/README.md", - wait=False # Non-blocking, process in background + wait=False, # Non-blocking, process in background ) root_uri = result.get("root_uri", "") @@ -101,13 +100,13 @@ def main(): if root_uri: try: # List directory contents - print(f" Directory listing:") + print(" Directory listing:") files = client.ls(root_uri, simple=True) for f in files[:5]: # Show first 5 files print(f" - {f}") # Show tree structure - print(f"\n Tree view:") + print("\n Tree view:") tree = client.tree(root_uri, level_limit=2) print_tree(tree, indent=" ") @@ -163,14 +162,17 @@ def main(): print() - # L2: Full content (read first 500 chars) + # L2: Read one concrete file under the resource root print(" L2 (Full content - first 500 chars):") - content = client.read(root_uri) - if content: + glob_result = client.glob(pattern="**/*.md", uri=root_uri) + matches = glob_result.get("matches", []) if isinstance(glob_result, dict) else [] + if matches: + content = client.read(matches[0]) preview = content[:500] + "..." if len(content) > 500 else content + print(f" File: {matches[0]}") print(f" {preview}") else: - print(" (Not available)") + print(" (No readable markdown file found under this resource)") except Exception as e: print(f" Error loading context: {e}") @@ -189,13 +191,9 @@ def main(): print(f" Query: '{query}'") print(" Results:") - results = client.find( - query=query, - target_uri=root_uri, - limit=5 - ) + results = client.find(query=query, target_uri=root_uri, limit=5) - if hasattr(results, 'resources') and results.resources: + if hasattr(results, "resources") and results.resources: for r in results.resources: print(f" - {r.uri}") print(f" Score: {r.score:.4f}") @@ -246,7 +244,9 @@ def main(): # Add a conversation turn client.add_message(session_id, "user", "I prefer Python for data science projects") - client.add_message(session_id, "assistant", "Understood! I'll use Python for your data science work.") + client.add_message( + session_id, "assistant", "Understood! I'll use Python for your data science work." + ) print(" Added conversation turn") @@ -264,33 +264,46 @@ def main(): # ============================================================ # 9. Cleanup # ============================================================ - print("8. Closing OpenViking...") + print("9. Closing OpenViking...") print("-" * 40) - client.close() - print(" Done!") + try: + client.close() + print(" Done!") + except Exception as e: + print(f" Note: Close skipped - {e}") print() print("=" * 60) print("Example completed successfully!") print("=" * 60) -def print_tree(tree: dict, indent: str = ""): +def print_tree(tree, indent: str = ""): """Helper function to print tree structure.""" if not tree: return + if isinstance(tree, list): + for child in tree[:5]: + print_tree(child, indent) + return + + if not isinstance(tree, dict): + print(f"{indent}{tree}") + return + name = tree.get("name", "?") children = tree.get("children", []) + is_dir = tree.get("isDir", tree.get("is_dir", bool(children))) - print(f"{indent}{name}/") + print(f"{indent}{name}/" if is_dir else f"{indent}{name}") for child in children[:5]: # Limit to first 5 children - if child.get("is_dir"): + if child.get("isDir", child.get("is_dir")): print_tree(child, indent + " ") else: print(f"{indent} {child.get('name', '?')}") if __name__ == "__main__": - main() \ No newline at end of file + main() diff --git a/examples/mcp-query/README.md b/examples/mcp-query/README.md deleted file mode 100644 index f66e4da6d..000000000 --- a/examples/mcp-query/README.md +++ /dev/null @@ -1,66 +0,0 @@ -# OpenViking MCP Server - -MCP (Model Context Protocol) HTTP server that exposes OpenViking RAG capabilities as tools. - -## Tools - -| Tool | Description | -|------|-------------| -| `query` | Full RAG pipeline — search + LLM answer generation | -| `search` | Semantic search only, returns matching documents | -| `add_resource` | Add files, directories, or URLs to the database | - -## Quick Start - -```bash -# Setup config -cp ov.conf.example ov.conf -# Edit ov.conf with your API keys - -# Install dependencies -uv sync - -# Start the server (streamable HTTP on port 2033) -uv run server.py -``` - -The server will be available at `http://127.0.0.1:2033/mcp`. - -## Connect from Claude - -```bash -# Add as MCP server in Claude CLI -claude mcp add --transport http openviking http://localhost:2033/mcp -``` - -Or add to `.mcp.json`: - -```json -{ - "mcpServers": { - "openviking": { - "type": "http", - "url": "http://localhost:2033/mcp" - } - } -} -``` - -## Options - -``` -uv run server.py [OPTIONS] - - --config PATH Config file path (default: ./ov.conf, env: OV_CONFIG) - --data PATH Data directory path (default: ./data, env: OV_DATA) - --host HOST Bind address (default: 127.0.0.1) - --port PORT Listen port (default: 2033, env: OV_PORT) - --transport TYPE streamable-http | stdio (default: streamable-http) -``` - -## Testing with MCP Inspector - -```bash -npx @modelcontextprotocol/inspector -# Connect to http://localhost:2033/mcp -``` diff --git a/examples/mcp-query/README_CN.md b/examples/mcp-query/README_CN.md deleted file mode 100644 index df24af359..000000000 --- a/examples/mcp-query/README_CN.md +++ /dev/null @@ -1,66 +0,0 @@ -# OpenViking MCP Server - -MCP(Model Context Protocol)HTTP 服务器,将 OpenViking RAG 能力作为工具暴露。 - -## 工具 - -| 工具 | 说明 | -|------|------| -| `query` | 完整 RAG 流程 — 搜索 + LLM 答案生成 | -| `search` | 仅语义搜索,返回匹配文档 | -| `add_resource` | 添加文件、目录或 URL 到数据库 | - -## 快速开始 - -```bash -# 设置配置 -cp ov.conf.example ov.conf -# 编辑 ov.conf,填入你的 API Key - -# 安装依赖 -uv sync - -# 启动服务器(端口 2033 的可流式 HTTP) -uv run server.py -``` - -服务器将在 `http://127.0.0.1:2033/mcp` 可用。 - -## 从 Claude 连接 - -```bash -# 在 Claude CLI 中添加 MCP 服务器 -claude mcp add --transport http openviking http://localhost:2033/mcp -``` - -或添加到 `.mcp.json`: - -```json -{ - "mcpServers": { - "openviking": { - "type": "http", - "url": "http://localhost:2033/mcp" - } - } -} -``` - -## 选项 - -``` -uv run server.py [OPTIONS] - - --config PATH 配置文件路径(默认:./ov.conf,环境变量:OV_CONFIG) - --data PATH 数据目录路径(默认:./data,环境变量:OV_DATA) - --host HOST 绑定地址(默认:127.0.0.1) - --port PORT 监听端口(默认:2033,环境变量:OV_PORT) - --transport TYPE streamable-http | stdio(默认:streamable-http) -``` - -## 使用 MCP Inspector 测试 - -```bash -npx @modelcontextprotocol/inspector -# 连接到 http://localhost:2033/mcp -``` \ No newline at end of file diff --git a/examples/mcp-query/ov.conf.example b/examples/mcp-query/ov.conf.example deleted file mode 100644 index 3ab97f7ab..000000000 --- a/examples/mcp-query/ov.conf.example +++ /dev/null @@ -1,18 +0,0 @@ -{ - "embedding": { - "dense": { - "api_base" : "https://ark-cn-beijing.bytedance.net/api/v3", - "api_key" : "", - "provider" : "volcengine", - "dimension": "1024", - "model" : "doubao-embedding-vision-250615" - } - }, - "vlm": { - "api_base" : "https://ark-cn-beijing.bytedance.net/api/v3", - "api_key" : "", - "provider" : "volcengine", - "model" : "doubao-seed-2-0-pro-260215", - "thinking": false - } -} diff --git a/examples/mcp-query/pyproject.toml b/examples/mcp-query/pyproject.toml deleted file mode 100644 index 92d5c42dc..000000000 --- a/examples/mcp-query/pyproject.toml +++ /dev/null @@ -1,10 +0,0 @@ -[project] -name = "openviking-mcp" -version = "0.1.0" -description = "OpenViking MCP Server - RAG query capabilities via Model Context Protocol" -readme = "README.md" -requires-python = ">=3.13" -dependencies = [ - "openviking>=0.1.6", - "mcp>=1.8.0", -] diff --git a/examples/mcp-query/server.py b/examples/mcp-query/server.py deleted file mode 100644 index fbc98e328..000000000 --- a/examples/mcp-query/server.py +++ /dev/null @@ -1,335 +0,0 @@ -#!/usr/bin/env python3 -""" -OpenViking MCP Server - Expose RAG query capabilities through Model Context Protocol - -Provides MCP tools for: - - query: Full RAG pipeline (search + LLM generation) - - search: Semantic search only (no LLM) - - add_resource: Add documents/URLs to the database - -Usage: - uv run server.py - uv run server.py --config ./ov.conf --data ./data --port 2033 -""" - -import argparse -import asyncio -import json -import logging -import os -import sys -from pathlib import Path -from typing import Optional - -sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__)))) - -from common.recipe import Recipe -from mcp.server.fastmcp import FastMCP - -import openviking as ov -from openviking_cli.utils.config.open_viking_config import OpenVikingConfig - -logging.basicConfig(level=logging.INFO) -logger = logging.getLogger("openviking-mcp") - -# Global state -_recipe: Optional[Recipe] = None -_config_path: str = "./ov.conf" -_data_path: str = "./data" -_api_key: str = "" -_default_uri: str = "" - - -def _get_recipe() -> Recipe: - """Get or create the Recipe (RAG pipeline) instance.""" - global _recipe - if _recipe is None: - _recipe = Recipe(config_path=_config_path, data_path=_data_path) - if _api_key: - _recipe.api_key = _api_key - return _recipe - - -def create_server(host: str = "127.0.0.1", port: int = 2033) -> FastMCP: - """Create and configure the MCP server.""" - mcp = FastMCP( - name="openviking-mcp", - instructions=( - "OpenViking MCP Server provides RAG (Retrieval-Augmented Generation) capabilities. " - "Use 'query' for full RAG answers, 'search' for semantic search only, " - "and 'add_resource' to ingest new documents." - ), - host=host, - port=port, - stateless_http=True, - json_response=True, - ) - - @mcp.tool() - async def query( - question: str, - top_k: int = 5, - temperature: float = 0.7, - max_tokens: int = 2048, - score_threshold: float = 0.2, - system_prompt: str = "", - ) -> str: - """ - Ask a question and get an answer using RAG (Retrieval-Augmented Generation). - - Searches the OpenViking database for relevant context, then generates an answer - using an LLM with the retrieved context. - - Args: - question: The question to ask. - top_k: Number of search results to use as context (1-20, default: 5). - temperature: LLM sampling temperature (0.0-1.0, default: 0.7). - max_tokens: Maximum tokens in the response (default: 2048). - score_threshold: Minimum relevance score for search results (0.0-1.0, default: 0.2). - system_prompt: Optional system prompt to guide the LLM response style. - """ - - def _query_sync(): - recipe = _get_recipe() - return recipe.query( - user_query=question, - search_top_k=top_k, - temperature=temperature, - max_tokens=max_tokens, - score_threshold=score_threshold, - system_prompt=system_prompt or None, - ) - - result = await asyncio.to_thread(_query_sync) - - # Format response with answer and sources - output = result["answer"] - - if result["context"]: - output += "\n\n---\nSources:\n" - for i, ctx in enumerate(result["context"], 1): - uri_parts = ctx["uri"].split("/") - filename = uri_parts[-1] if uri_parts else ctx["uri"] - output += f" {i}. {filename} (relevance: {ctx['score']:.4f})\n" - - timings = result.get("timings", {}) - if timings: - output += ( - f"\n[search: {timings.get('search_time', 0):.2f}s, " - f"llm: {timings.get('llm_time', 0):.2f}s, " - f"total: {timings.get('total_time', 0):.2f}s]" - ) - - return output - - @mcp.tool() - async def search( - query: str, - top_k: int = 5, - score_threshold: float = 0.2, - target_uri: str = "", - ) -> str: - """ - Search the OpenViking database for relevant content (no LLM generation). - - Performs semantic search and returns matching documents with relevance scores. - Use this when you only need to find relevant documents without generating an answer. - - Args: - query: The search query. - top_k: Number of results to return (1-20, default: 5). - score_threshold: Minimum relevance score (0.0-1.0, default: 0.2). - target_uri: Optional URI to scope the search to a specific resource. - """ - effective_uri = target_uri or _default_uri - - def _search_sync(): - recipe = _get_recipe() - return recipe.search( - query=query, - top_k=top_k, - score_threshold=score_threshold, - target_uri=effective_uri or None, - ) - - results = await asyncio.to_thread(_search_sync) - - if not results: - return "No relevant results found." - - output_parts = [] - for i, r in enumerate(results, 1): - preview = r["content"][:500] + "..." if len(r["content"]) > 500 else r["content"] - output_parts.append(f"[{i}] {r['uri']} (score: {r['score']:.4f})\n{preview}") - - return f"Found {len(results)} results:\n\n" + "\n\n".join(output_parts) - - @mcp.tool() - async def add_resource(resource_path: str) -> str: - """ - Add a document, file, directory, or URL to the OpenViking database. - - The resource will be parsed, chunked, and indexed for future search/query operations. - Supported formats: PDF, Markdown, Text, HTML, and more. - URLs are automatically downloaded and processed. - - Args: - resource_path: Path to a local file/directory, or a URL to add. - """ - config_path = _config_path - data_path = _data_path - - def _add_sync(): - with open(config_path, "r") as f: - config_dict = json.load(f) - - config = OpenVikingConfig.from_dict(config_dict) - client = ov.SyncOpenViking(path=data_path, config=config) - - try: - client.initialize() - - path = resource_path - if not path.startswith("http"): - resolved = Path(path).expanduser() - if not resolved.exists(): - return f"Error: File not found: {resolved}" - path = str(resolved) - - result = client.add_resource(path=path) - - if result and "root_uri" in result: - root_uri = result["root_uri"] - client.wait_processed(timeout=300) - return f"Resource added and indexed: {root_uri}" - elif result and result.get("status") == "error": - errors = result.get("errors", [])[:3] - error_msg = "\n".join(f" - {e}" for e in errors) - return ( - f"Resource had parsing issues:\n{error_msg}\n" - "Some content may still be searchable." - ) - else: - return "Failed to add resource." - finally: - client.close() - - return await asyncio.to_thread(_add_sync) - - @mcp.resource("openviking://status") - def server_status() -> str: - """Get the current server status and configuration.""" - info = { - "config_path": _config_path, - "data_path": _data_path, - "status": "running", - } - return json.dumps(info, indent=2) - - return mcp - - -def parse_args(): - parser = argparse.ArgumentParser( - description="OpenViking MCP Server - RAG query capabilities via MCP", - formatter_class=argparse.RawDescriptionHelpFormatter, - epilog=""" -Examples: - # Start with defaults - uv run server.py - - # Custom config and port - uv run server.py --config ./ov.conf --data ./data --port 9000 - - # Use stdio transport (for Claude Desktop integration) - uv run server.py --transport stdio - - # Connect from Claude CLI (use 127.0.0.1 instead of localhost for Windows compatibility) - claude mcp add --transport http openviking http://127.0.0.1:2033/mcp - - # With API key and default search scope - uv run server.py --api-key sk-xxx --default-uri viking://user/memories - -Environment variables: - OV_CONFIG Path to config file (default: ./ov.conf) - OV_DATA Path to data directory (default: ./data) - OV_PORT Server port (default: 2033) - OV_API_KEY API key for OpenViking server authentication - OV_DEFAULT_URI Default target URI for search scoping - OV_DEBUG Enable debug logging (set to 1) - """, - ) - parser.add_argument( - "--config", - type=str, - default=os.getenv("OV_CONFIG", "./ov.conf"), - help="Path to config file (default: ./ov.conf)", - ) - parser.add_argument( - "--data", - type=str, - default=os.getenv("OV_DATA", "./data"), - help="Path to data directory (default: ./data)", - ) - parser.add_argument( - "--host", - type=str, - default="127.0.0.1", - help="Host to bind to (default: 127.0.0.1)", - ) - parser.add_argument( - "--port", - type=int, - default=int(os.getenv("OV_PORT", "2033")), - help="Port to listen on (default: 2033)", - ) - parser.add_argument( - "--transport", - type=str, - choices=["streamable-http", "stdio"], - default="streamable-http", - help="Transport type (default: streamable-http)", - ) - parser.add_argument( - "--api-key", - type=str, - default=os.getenv("OV_API_KEY", ""), - help="API key for OpenViking server authentication (default: $OV_API_KEY)", - ) - parser.add_argument( - "--default-uri", - type=str, - default=os.getenv("OV_DEFAULT_URI", ""), - help="Default target URI for search scoping (default: search all)", - ) - return parser.parse_args() - - -def main(): - args = parse_args() - - global _config_path, _data_path, _api_key, _default_uri - 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-This script runs real memory extraction/dedup/merge against OpenViking, prints -human-readable traces, and outputs pass/fail for each test case. - -Usage: - export OPENVIKING_CONFIG_FILE=ov.conf - python examples/memory_test_demo.py --verbose -""" - -from __future__ import annotations - -import argparse -import hashlib -import json -import os -import shutil -from dataclasses import asdict, dataclass, field -from pathlib import Path -from typing import Any, Callable, Dict, Iterable, List, Optional, Set, Tuple - -from openviking.message.part import TextPart -from openviking.session.memory_deduplicator import MemoryDeduplicator -from openviking.sync_client import SyncOpenViking - - -@dataclass -class Turn: - session_key: str - user_text: str - assistant_text: str = "收到。" - - -@dataclass -class QueryCheck: - query: str - require_groups: List[List[str]] = field(default_factory=list) - forbidden_groups: List[List[str]] = field(default_factory=list) - min_hits: int = 1 - - -@dataclass -class CaseSpec: - case_id: str - title: str - turns: List[Turn] - checks: List[QueryCheck] - expected_categories: Set[str] = field(default_factory=set) - expect_merge_action: bool = False - expect_delete_action: bool = False - expect_skip_decision: bool = False - expect_none_decision: bool = False - expect_no_new_memory: bool = False - expect_merge_from_session_key: str = "" - max_created_files: Optional[int] = None - - -@dataclass -class Hit: - query: str - uri: str - abstract: str - content: str - score: Optional[float] - target_uri: str - - -@dataclass -class DedupRecord: - round_name: str - source_session: str - category: str - decision: str - candidate_abstract: str - actions: List[Dict[str, str]] - - -@dataclass -class CaseResult: - case_id: str - title: str - passed: bool - reasons: List[str] - created: List[str] - deleted: List[str] - changed: List[str] - - -class DedupRecorder: - """Collect runtime dedup decisions without modifying production modules.""" - - def __init__(self) -> None: - self.records: List[DedupRecord] = [] - self.current_round: str = "" - self._original: Optional[Callable[..., Any]] = None - - def install(self) -> None: - if self._original is not None: - return - - self._original = MemoryDeduplicator.deduplicate - recorder = self - - async def _wrapped(self_dedup, candidate): - result = await recorder._original(self_dedup, candidate) - recorder.records.append( - DedupRecord( - round_name=recorder.current_round, - source_session=candidate.source_session, - category=candidate.category.value, - decision=result.decision.value, - candidate_abstract=candidate.abstract, - actions=[ - { - "decision": action.decision.value, - "uri": action.memory.uri, - "reason": action.reason, - } - for action in (result.actions or []) - ], - ) - ) - return result - - MemoryDeduplicator.deduplicate = _wrapped - - def uninstall(self) -> None: - if self._original is not None: - MemoryDeduplicator.deduplicate = self._original - self._original = None - - -def _print_section(title: str, body: str = "") -> None: - print("\n" + "=" * 90) - print(title) - if body: - print("-" * 90) - print(body) - - -def _safe_list(items: Iterable[Any]) -> List[Any]: - try: - return list(items) - except Exception: - return [] - - -def _safe_float(value: Any) -> Optional[float]: - try: - return float(value) - except Exception: - return None - - -def _hash_text(text: str) -> str: - return hashlib.sha1(text.encode("utf-8", errors="ignore")).hexdigest() - - -def _collect_memory_snapshot(client: SyncOpenViking) -> Dict[str, str]: - """Snapshot all memory files as uri -> content hash.""" - snapshot: Dict[str, str] = {} - for root in ["viking://user/memories", "viking://agent/memories"]: - try: - entries = client.ls(root, recursive=True, simple=False) - except Exception: - continue - - for item in entries: - if item.get("isDir"): - continue - uri = str(item.get("uri", "")) - if not uri.endswith(".md"): - continue - if "/." in uri: - continue - try: - content = client.read(uri) - snapshot[uri] = _hash_text(content) - except Exception: - snapshot[uri] = "" - return snapshot - - -def _snapshot_diff( - before: Dict[str, str], - after: Dict[str, str], -) -> Tuple[List[str], List[str], List[str]]: - created = sorted(set(after) - set(before)) - deleted = sorted(set(before) - set(after)) - changed = sorted(uri for uri in (set(before) & set(after)) if before[uri] != after[uri]) - return created, deleted, changed - - -def _search_hits(client: SyncOpenViking, query: str, limit: int) -> List[Hit]: - """Search both user/agent memory roots and merge hits by uri.""" - merged: Dict[str, Hit] = {} - for target_uri in ["viking://user/memories", "viking://agent/memories"]: - try: - result = client.find(query, target_uri=target_uri, limit=limit) - except Exception: - continue - - for mem in _safe_list(getattr(result, "memories", [])): - uri = getattr(mem, "uri", "") or "" - if not uri: - continue - hit = Hit( - query=query, - uri=uri, - abstract=getattr(mem, "abstract", "") or "", - content="", - score=_safe_float(getattr(mem, "score", None)), - target_uri=target_uri, - ) - try: - hit.content = client.read(uri) - except Exception: - hit.content = "" - old = merged.get(uri) - if old is None or (hit.score or -1.0) > (old.score or -1.0): - merged[uri] = hit - - return sorted(merged.values(), key=lambda item: item.score or -1.0, reverse=True) - - -def _format_hits(hits: List[Hit], max_items: int = 8) -> str: - if not hits: - return "(no hit)" - lines: List[str] = [] - for idx, hit in enumerate(hits[:max_items], 1): - score_text = "n/a" if hit.score is None else f"{hit.score:.4f}" - content_preview = hit.content.replace("\n", " ").strip() - if len(content_preview) > 120: - content_preview = content_preview[:117] + "..." - lines.append( - f"{idx}. score={score_text} | {hit.abstract} | {hit.uri}\n content={content_preview}" - ) - return "\n".join(lines) - - -def _joined_hit_texts(hits: List[Hit]) -> List[str]: - return [f"{hit.abstract} {hit.content} {hit.uri}".lower() for hit in hits] - - -def _group_satisfied_anywhere(group: List[str], texts: List[str]) -> bool: - if not group: - return True - options = [opt.lower() for opt in group] - return any(any(opt in text for text in texts) for opt in options) - - -def _group_fully_matched_in_single_hit(group: List[str], texts: List[str]) -> bool: - if not group: - return False - options = [opt.lower() for opt in group] - for text in texts: - if all(opt in text for opt in options): - return True - return False - - -def _evaluate_query_check(check: QueryCheck, hits: List[Hit]) -> List[str]: - reasons: List[str] = [] - texts = _joined_hit_texts(hits) - - if len(hits) < check.min_hits: - reasons.append(f"query '{check.query}' hit count {len(hits)} < expected {check.min_hits}") - - for group in check.require_groups: - if not _group_satisfied_anywhere(group, texts): - reasons.append(f"query '{check.query}' missing required group: {' | '.join(group)}") - - for group in check.forbidden_groups: - if _group_fully_matched_in_single_hit(group, texts): - reasons.append(f"query '{check.query}' matched forbidden group: {' + '.join(group)}") - return reasons - - -def _format_records(records: List[DedupRecord]) -> str: - if not records: - return "(no dedup record in this case)" - lines: List[str] = [] - for idx, rec in enumerate(records, 1): - lines.append( - f"{idx}. session={rec.source_session} category={rec.category} " - f"decision={rec.decision} abstract={rec.candidate_abstract}" - ) - for action in rec.actions: - lines.append(f" - action={action['decision']} uri={action['uri']}") - return "\n".join(lines) - - -def _build_cases() -> List[CaseSpec]: - return [ - CaseSpec( - case_id="T1", - title="Profile - Basic Identity", - turns=[ - Turn( - session_key="profile", - user_text="我叫张明,在字节跳动做后端开发,base北京。", - ) - ], - checks=[ - QueryCheck( - query="张明是谁", - require_groups=[["张明"], ["字节跳动"], ["后端"], ["北京"]], - ) - ], - ), - CaseSpec( - case_id="T2", - title="Profile - Incremental Update (Merge)", - turns=[ - Turn(session_key="profile", user_text="我叫张明,做后端开发。"), - Turn(session_key="profile", user_text="最近转岗了,现在做 infra。"), - ], - checks=[ - QueryCheck( - query="张明做什么工作", - require_groups=[["张明"], ["infra", "基础设施", "基础架构"]], - ) - ], - max_created_files=0, - ), - CaseSpec( - case_id="T3", - title="Preferences", - turns=[ - Turn( - session_key="prefs", - user_text=( - "写代码的时候我习惯用 vim + tmux,不喜欢 IDE。" - "回复我的时候用中文就好,技术术语保持英文。" - ), - ) - ], - checks=[ - QueryCheck( - query="用户开发工具偏好", - require_groups=[["vim"], ["tmux"], ["ide"]], - ), - QueryCheck( - query="回复语言偏好", - require_groups=[["中文"], ["english", "英文"]], - ), - ], - ), - CaseSpec( - case_id="T4", - title="Entities - People and Projects", - turns=[ - Turn( - session_key="entities", - user_text=( - "我们组的 tech lead 是 Kevin,他主推用 Go 重写网关。" - "目前在做 Project Atlas,是一个内部 API 网关平台。" - ), - ) - ], - checks=[ - QueryCheck( - query="Kevin", - require_groups=[["kevin"], ["tech lead", "技术负责人"], ["go"]], - ), - QueryCheck( - query="Project Atlas", - require_groups=[["atlas"], ["api"], ["网关", "gateway"]], - ), - ], - ), - CaseSpec( - case_id="T5", - title="Events - Decision Point", - turns=[ - Turn( - session_key="events", - user_text=( - "今天和老板聊了,决定放弃 Python 方案,全面转 Go。" - "主要原因是性能瓶颈和团队技术栈统一。" - ), - ) - ], - checks=[ - QueryCheck( - query="为什么选 Go", - require_groups=[ - ["go"], - ["python"], - ["性能", "performance"], - ["技术栈", "stack"], - ], - ) - ], - ), - CaseSpec( - case_id="T6", - title="Cases - Problem to Solution", - turns=[ - Turn( - session_key="cases", - user_text=( - "我们的 gRPC 服务偶尔出现 deadline exceeded,大概每天几十次。" - "查了 trace 发现是下游 Redis 偶尔 latency spike。" - "试了连接池调大没用,最后发现是 Redis cluster 有个慢节点。" - "把那个节点摘掉换了新实例就好了。" - ), - ) - ], - checks=[ - QueryCheck( - query="gRPC deadline exceeded 怎么解决", - require_groups=[ - ["grpc"], - ["deadline exceeded"], - ["redis"], - ["慢节点", "slow node"], - ["替换", "换了", "replace", "摘掉", "摘除", "更换", "新实例"], - ], - ) - ], - ), - CaseSpec( - case_id="T7", - title="Patterns - Reusable Practice", - turns=[ - Turn( - session_key="patterns", - user_text=( - "我发现做 code review 有个好办法。" - "先看测试理解意图,再看 diff,最后跑一遍确认。" - "这样比直接看 diff 效率高很多,漏的也少。" - ), - ) - ], - checks=[ - QueryCheck( - query="code review 方法", - require_groups=[ - ["code review", "代码评审"], - ["测试", "test"], - ["diff"], - ["运行", "确认", "run"], - ], - ) - ], - ), - CaseSpec( - case_id="T8", - title="Patterns - Merge Existing Across Sessions", - turns=[ - Turn(session_key="t8_a", user_text="部署前一定要先跑 smoke test。"), - Turn( - session_key="t8_b", - user_text="部署前除了 smoke test,还要检查 config diff。", - ), - ], - checks=[ - QueryCheck( - query="部署前检查", - require_groups=[["smoke"], ["config diff", "配置", "config"]], - ) - ], - expect_merge_action=True, - expect_none_decision=True, - expect_merge_from_session_key="t8_b", - ), - CaseSpec( - case_id="T9", - title="Complex Multi-Round - Mixed Categories", - turns=[ - Turn( - session_key="mixed", - user_text=( - "我在做一个 RAG 系统的 chunk 策略优化。" - "现在用的是固定 512 token 切分,效果不好。" - "我试了 semantic chunking,用 embedding similarity 找分割点。" - "同事 Lisa 建议试 late chunking,她在另一个项目上效果不错。" - "最后我们决定用 semantic chunking + overlap 50 token 的方案。" - "关键 insight 是:chunk boundary 要对齐语义边界,不能硬切。" - "以后做 RAG 都应该先评估 chunk 质量再调 retrieval。" - ), - ) - ], - checks=[ - QueryCheck( - query="RAG chunking 怎么做", - require_groups=[ - [ - "semantic", - "semantic chunking", - "语义", - "语义切分", - "embedding", - "相似度", - ], - ["overlap", "50"], - ["512"], - ], - ), - QueryCheck( - query="Lisa", - require_groups=[["lisa"], ["late chunking", "chunking"]], - ), - QueryCheck( - query="chunk 优化经验", - require_groups=[ - ["chunk"], - ["质量", "quality", "边界", "semantic"], - ["retrieval", "检索", "调优", "优化流程"], - ], - ), - ], - expected_categories=set(), - ), - CaseSpec( - case_id="T10", - title="Noise Resistance - Should Not Store", - turns=[ - Turn( - session_key="noise", - user_text="今天天气不错。帮我写个 hello world。谢谢,挺好的。", - ) - ], - checks=[ - QueryCheck( - query="天气", - forbidden_groups=[["天气"]], - min_hits=0, - ), - QueryCheck( - query="hello world", - forbidden_groups=[["hello", "world"]], - min_hits=0, - ), - ], - ), - ] - - -def _get_or_create_session( - client: SyncOpenViking, - cache: Dict[str, Any], - key: str, -) -> Any: - sess = cache.get(key) - if sess is not None: - return sess - session_id = client.create_session()["session_id"] - sess = client.session(session_id) - cache[key] = sess - cache[f"__id__{key}"] = session_id - return sess - - -def _session_id(cache: Dict[str, Any], key: str) -> str: - return str(cache.get(f"__id__{key}", "")) - - -def _evaluate_case( - case: CaseSpec, - hits_by_query: Dict[str, List[Hit]], - records: List[DedupRecord], - created: List[str], - deleted: List[str], - changed: List[str], - session_cache: Dict[str, Any], -) -> List[str]: - reasons: List[str] = [] - - for check in case.checks: - reasons.extend(_evaluate_query_check(check, hits_by_query.get(check.query, []))) - - if case.expected_categories: - observed_categories = {record.category for record in records} - missing_categories = sorted(case.expected_categories - observed_categories) - if missing_categories: - reasons.append( - "missing expected categories in dedup records: " + ", ".join(missing_categories) - ) - - if case.expect_merge_action and not any( - action.get("decision") == "merge" for record in records for action in record.actions - ): - reasons.append("expected merge action, but none observed") - - if case.expect_delete_action and not any( - action.get("decision") == "delete" for record in records for action in record.actions - ): - reasons.append("expected delete action, but none observed") - - if case.expect_skip_decision and not any(record.decision == "skip" for record in records): - reasons.append("expected decision=skip, but not observed") - - if case.expect_none_decision and not any(record.decision == "none" for record in records): - reasons.append("expected decision=none, but not observed") - - if case.expect_merge_from_session_key: - expected_sid = _session_id(session_cache, case.expect_merge_from_session_key) - if expected_sid: - merge_from_expected = any( - record.source_session == expected_sid - and any(action.get("decision") == "merge" for action in record.actions) - for record in records - ) - if not merge_from_expected: - reasons.append( - "expected merge from session " - + case.expect_merge_from_session_key - + ", but not observed" - ) - - if case.expect_no_new_memory and (created or deleted or changed): - reasons.append( - "expected no memory mutation, but snapshot changed " - + f"(created={len(created)} deleted={len(deleted)} changed={len(changed)})" - ) - - if case.max_created_files is not None and len(created) > case.max_created_files: - reasons.append(f"created file count {len(created)} exceeds max {case.max_created_files}") - - return reasons - - -def _decision_coverage(records: List[DedupRecord]) -> Dict[str, bool]: - return { - "merge_action": any( - action.get("decision") == "merge" for record in records for action in record.actions - ), - "delete_action": any( - action.get("decision") == "delete" for record in records for action in record.actions - ), - "decision_none": any(record.decision == "none" for record in records), - "decision_skip": any(record.decision == "skip" for record in records), - } - - -def main() -> int: - parser = argparse.ArgumentParser(description="OpenViking memory skill T1-T10 test demo") - parser.add_argument( - "--path", - default="./ov_data_memory_test_demo", - help="Demo storage path. This script clears it at startup.", - ) - parser.add_argument( - "--wait-timeout", - type=float, - default=60.0, - help="Queue wait timeout in seconds.", - ) - parser.add_argument("--limit", type=int, default=8, help="Top-k retrieval limit per query.") - parser.add_argument( - "--json-report", - default="", - help="Optional output path for a JSON report.", - ) - parser.add_argument( - "--verbose", - action="store_true", - default=True, - help="Print per-case trace logs.", - ) - args = parser.parse_args() - - if not os.environ.get("OPENVIKING_CONFIG_FILE"): - repo_root = os.path.abspath(os.path.join(os.path.dirname(__file__), "..")) - cfg = os.path.join(repo_root, "ov.conf") - if os.path.exists(cfg): - os.environ["OPENVIKING_CONFIG_FILE"] = cfg - - data_path = Path(args.path) - if data_path.exists(): - shutil.rmtree(data_path) - data_path.mkdir(parents=True, exist_ok=True) - - recorder = DedupRecorder() - recorder.install() - - client = SyncOpenViking(path=str(data_path)) - client.initialize() - - cases = _build_cases() - session_cache: Dict[str, Any] = {} - case_results: List[CaseResult] = [] - - try: - client.is_healthy() - - for case in cases: - before_snapshot = _collect_memory_snapshot(client) - record_start = len(recorder.records) - commit_results: List[Dict[str, Any]] = [] - - for turn in case.turns: - session = _get_or_create_session(client, session_cache, turn.session_key) - recorder.current_round = f"{case.case_id}:{case.title}" - session.add_message("user", parts=[TextPart(text=turn.user_text)]) - session.add_message("assistant", parts=[TextPart(text=turn.assistant_text)]) - commit_results.append(session.commit()) - try: - client.wait_processed(timeout=args.wait_timeout) - except Exception: - pass - - after_snapshot = _collect_memory_snapshot(client) - created, deleted, changed = _snapshot_diff(before_snapshot, after_snapshot) - case_records = recorder.records[record_start:] - - hits_by_query: Dict[str, List[Hit]] = {} - for check in case.checks: - hits_by_query[check.query] = _search_hits(client, check.query, args.limit) - - reasons = _evaluate_case( - case, - hits_by_query, - case_records, - created, - deleted, - changed, - session_cache, - ) - passed = len(reasons) == 0 - case_results.append( - CaseResult( - case_id=case.case_id, - title=case.title, - passed=passed, - reasons=reasons, - created=created, - deleted=deleted, - changed=changed, - ) - ) - - if args.verbose: - session_lines = [ - f"session_key={turn.session_key} session_id={_session_id(session_cache, turn.session_key)}" - for turn in case.turns - ] - _print_section( - f"{case.case_id} {case.title} - commits", - body="\n".join(session_lines + [f"commit={item}" for item in commit_results]), - ) - _print_section(f"{case.case_id} dedup trace", body=_format_records(case_records)) - _print_section( - f"{case.case_id} memory diff", - body="\n".join( - [f"created={len(created)} deleted={len(deleted)} changed={len(changed)}"] - + [f"+ {uri}" for uri in created] - + [f"- {uri}" for uri in deleted] - + [f"~ {uri}" for uri in changed] - ), - ) - for query, hits in hits_by_query.items(): - _print_section(f"{case.case_id} find: {query}", body=_format_hits(hits)) - _print_section( - f"{case.case_id} result: {'PASS' if passed else 'FAIL'}", - body=( - "All checks passed" - if passed - else "\n".join(f"- {item}" for item in reasons) - ), - ) - - passed_count = sum(1 for item in case_results if item.passed) - failed_count = len(case_results) - passed_count - coverage = _decision_coverage(recorder.records) - - summary_lines = [ - f"Total: {len(case_results)}", - f"Passed: {passed_count}", - f"Failed: {failed_count}", - "", - "Decision coverage:", - f"- merge_action: {'YES' if coverage['merge_action'] else 'NO'}", - f"- delete_action: {'YES' if coverage['delete_action'] else 'NO'}", - f"- decision_none: {'YES' if coverage['decision_none'] else 'NO'}", - f"- decision_skip: {'YES' if coverage['decision_skip'] else 'NO'}", - ] - - failed_cases = [item for item in case_results if not item.passed] - if failed_cases: - summary_lines.append("") - summary_lines.append("Failed cases:") - for item in failed_cases: - summary_lines.append(f"- {item.case_id} {item.title}") - for reason in item.reasons: - summary_lines.append(f" * {reason}") - - _print_section("Final Report", body="\n".join(summary_lines)) - - if args.json_report: - report = { - "summary": { - "total": len(case_results), - "passed": passed_count, - "failed": failed_count, - "coverage": coverage, - }, - "cases": [asdict(item) for item in case_results], - } - report_path = Path(args.json_report) - report_path.parent.mkdir(parents=True, exist_ok=True) - report_path.write_text( - json.dumps(report, ensure_ascii=False, indent=2), - encoding="utf-8", - ) - _print_section("JSON report", body=str(report_path)) - - return 0 if failed_count == 0 else 1 - finally: - recorder.uninstall() - try: - client.close() - except Exception: - pass - - -if __name__ == "__main__": - raise SystemExit(main()) diff --git a/examples/multi_tenant/README.md b/examples/multi_tenant/README.md index 898368cdb..b8708976f 100644 --- a/examples/multi_tenant/README.md +++ b/examples/multi_tenant/README.md @@ -162,4 +162,4 @@ README.md 本文件 - [认证指南](../../docs/zh/guides/04-authentication.md) - 完整认证说明 - [配置指南](../../docs/zh/guides/01-configuration.md) - 配置文件参考 - [API 概览](../../docs/zh/api/01-overview.md) - 完整 API 参考 -- [Server-Client 示例](../server_client/) - 基础 Server/Client 用法 +- [服务端模式快速开始](../../docs/zh/getting-started/03-quickstart-server.md) - 基础 HTTP 服务接入方式 diff --git a/examples/server_client/README.md b/examples/server_client/README.md deleted file mode 100644 index e7da8876c..000000000 --- a/examples/server_client/README.md +++ /dev/null @@ -1,220 +0,0 @@ -# OpenViking Server-Client 示例 - -演示 OpenViking 的 Server/Client 架构:通过 HTTP Server 提供服务,Client 通过 HTTP API 访问。 - -## 架构 - -``` -┌──────────────┐ HTTP/REST ┌──────────────────┐ -│ Client │ ◄──────────────► │ OpenViking Server │ -│ (HTTP mode) │ JSON API │ (FastAPI + ASGI) │ -└──────────────┘ └──────────────────┘ -``` - -## Quick Start - -```bash -# 0. 安装依赖 -uv sync - -# 1. 配置 Server(ov.conf) -# Server 读取配置的优先级: -# $OPENVIKING_CONFIG_FILE > ~/.openviking/ov.conf -# 参见 ov.conf.example 了解完整配置项 - -# 2. 启动 Server(另开终端) -openviking-server # 从默认路径读取 ov.conf -openviking-server --config ./ov.conf # 指定配置文件 -openviking-server --host 0.0.0.0 --port 1933 # 覆盖 host/port - -# 3. 配置 CLI 连接(ovcli.conf) -# CLI 读取配置的优先级: -# $OPENVIKING_CLI_CONFIG_FILE > ~/.openviking/ovcli.conf -# 示例内容: -# {"url": "http://localhost:1933", "api_key": null, "output": "table"} - -# 4. 运行 Client 示例 -uv run client_sync.py # 同步客户端 -uv run client_async.py # 异步客户端 -bash client_cli.sh # CLI 使用示例 -``` - -## 文件说明 - -``` -client_sync.py # 同步客户端示例(SyncHTTPClient) -client_async.py # 异步客户端示例(AsyncHTTPClient) -client_cli.sh # CLI 使用示例(覆盖所有命令和参数) -ov.conf.example # Server/SDK 配置文件模板(ov.conf) -ovcli.conf.example # CLI 连接配置文件模板(ovcli.conf) -pyproject.toml # 项目依赖 -``` - -## 配置文件 - -新的配置系统使用两个配置文件,不再支持单字段环境变量(如 OPENVIKING_URL、OPENVIKING_API_KEY、OPENVIKING_HOST、OPENVIKING_PORT、OPENVIKING_PATH、OPENVIKING_VECTORDB_URL、OPENVIKING_AGFS_URL 均已移除)。 - -仅保留 2 个环境变量: - -| 环境变量 | 说明 | 默认路径 | -|---------|------|---------| -| `OPENVIKING_CONFIG_FILE` | ov.conf 配置文件路径 | `~/.openviking/ov.conf` | -| `OPENVIKING_CLI_CONFIG_FILE` | ovcli.conf 配置文件路径 | `~/.openviking/ovcli.conf` | - -### ov.conf(SDK 嵌入 + Server) - -用于 SDK 嵌入模式和 Server 启动,包含 `server` 段配置。参见 `ov.conf.example`。 - -### ovcli.conf(CLI 连接配置) - -用于 CLI 连接远程 Server: - -| 字段 | 说明 | 默认值 | -|------|------|--------| -| `url` | Server 地址 | (必填) | -| `api_key` | API Key 认证 | `null`(无认证) | -| `output` | 默认输出格式:`"table"` 或 `"json"` | `"table"` | - -```json -{ - "url": "http://localhost:1933", - "api_key": null, - "output": "table" -} -``` - -## Server 启动方式 - -### CLI 命令 - -```bash -# 基本启动(从 ~/.openviking/ov.conf 或 $OPENVIKING_CONFIG_FILE 读取配置) -openviking-server - -# 指定配置文件 -openviking-server --config ./ov.conf - -# 覆盖 host/port -openviking-server --host 0.0.0.0 --port 1933 -``` - -`openviking-server` 命令支持 `--config`、`--host`、`--port` 三个选项。认证密钥等其他配置通过 ov.conf 的 `server` 段设置。 - -### Python 脚本 - -```python -from openviking.server.bootstrap import main -main() -``` - -## Client 使用方式 - -### 同步客户端 - -```python -import openviking as ov - -client = ov.SyncHTTPClient(url="http://localhost:1933", api_key="your-key", timeout=120.0) -client.initialize() - -client.add_resource(path="./document.md") -client.wait_processed() - -results = client.find("search query") -client.close() -``` - -### 异步客户端 - -```python -import openviking as ov - -client = ov.AsyncHTTPClient(url="http://localhost:1933", api_key="your-key", timeout=120.0) -await client.initialize() - -await client.add_resource(path="./document.md") -await client.wait_processed() - -results = await client.find("search query") -await client.close() -``` - -### CLI - -```bash -# CLI 从 ~/.openviking/ovcli.conf 或 $s 读取连接配置 - -# 基本操作 -openviking health -openviking add-resource ./document.md # 上传文件 -openviking add-resource ./dir --exclude "*.tmp,*.log" --ignore-dirs "subdir-a,subdir-b/subsubdir-c" # 上传文件夹 - -openviking wait -openviking find "search query" - -# 输出格式(全局选项,须放在子命令之前) -openviking -o table find "query" # 表格输出(默认) -openviking -o json find "query" # 紧凑 JSON + {"ok":true} 包装(脚本用) - -# Session 操作 -openviking session new -openviking session add-message --role user --content "hello" -openviking session commit -openviking session delete -``` - -完整 CLI 使用示例参见 `client_cli.sh`。 - -## API 端点一览 - -| 方法 | 路径 | 说明 | -|------|------|------| -| GET | `/health` | 健康检查(免认证) | -| GET | `/api/v1/system/status` | 系统状态 | -| POST | `/api/v1/resources` | 添加资源 | -| POST | `/api/v1/resources/skills` | 添加技能 | -| POST | `/api/v1/resources/wait` | 等待处理完成 | -| GET | `/api/v1/fs/ls` | 列出目录 | -| GET | `/api/v1/fs/tree` | 目录树 | -| GET | `/api/v1/fs/stat` | 资源状态 | -| POST | `/api/v1/fs/mkdir` | 创建目录 | -| DELETE | `/api/v1/fs/rm` | 删除资源 | -| POST | `/api/v1/fs/mv` | 移动资源 | -| GET | `/api/v1/content/read` | 读取内容 | -| GET | `/api/v1/content/abstract` | 获取摘要 | -| GET | `/api/v1/content/overview` | 获取概览 | -| POST | `/api/v1/search/find` | 语义搜索 | -| POST | `/api/v1/search/search` | 带 Session 搜索 | -| POST | `/api/v1/search/grep` | 内容搜索 | -| POST | `/api/v1/search/glob` | 文件匹配 | -| GET | `/api/v1/relations` | 获取关联 | -| POST | `/api/v1/relations/link` | 创建关联 | -| DELETE | `/api/v1/relations/unlink` | 删除关联 | -| POST | `/api/v1/sessions` | 创建 Session | -| GET | `/api/v1/sessions` | 列出 Sessions | -| GET | `/api/v1/sessions/{id}` | 获取 Session | -| DELETE | `/api/v1/sessions/{id}` | 删除 Session | -| POST | `/api/v1/sessions/{id}/messages` | 添加消息 | -| POST | `/api/v1/sessions/{id}/commit` | 提交 Session(归档消息、提取记忆) | -| POST | `/api/v1/pack/export` | 导出 ovpack | -| POST | `/api/v1/pack/import` | 导入 ovpack | -| GET | `/api/v1/observer/system` | 系统监控 | -| GET | `/api/v1/observer/queue` | 队列状态 | -| GET | `/api/v1/observer/vikingdb` | VikingDB 状态 | -| GET | `/api/v1/observer/vlm` | VLM 状态 | -| GET | `/api/v1/debug/health` | 组件健康检查 | - -## 认证 - -Server 支持可选的 API Key 认证。通过 ov.conf 的 `server.api_key` 字段设置。 - -Client 请求时通过以下任一方式传递: - -``` -X-API-Key: your-secret-key -Authorization: Bearer your-secret-key -``` - -CLI 的 API Key 通过 ovcli.conf 的 `api_key` 字段配置。 - -`/health` 端点始终免认证。 diff --git a/examples/server_client/client_async.py b/examples/server_client/client_async.py deleted file mode 100644 index 28715a584..000000000 --- a/examples/server_client/client_async.py +++ /dev/null @@ -1,252 +0,0 @@ -#!/usr/bin/env python3 -""" -OpenViking 异步客户端示例 (HTTP mode) - -使用 AsyncHTTPClient 通过 HTTP 连接远程 Server,演示完整 API。 - -前置条件: - 先启动 Server: openviking-server - -运行: - uv run client_async.py - uv run client_async.py --url http://localhost:1933 - uv run client_async.py --api-key your-secret-key - uv run client_async.py --agent-id my-agent -""" - -import argparse -import asyncio - -from rich import box -from rich.console import Console -from rich.panel import Panel -from rich.table import Table -from rich.text import Text - -import openviking as ov - -console = Console() -PANEL_WIDTH = 78 - - -def _bool_mark(value) -> str: - return "[green]Yes[/green]" if value else "[red]No[/red]" - - -async def main(): - parser = argparse.ArgumentParser(description="OpenViking async client example") - parser.add_argument("--url", default="http://localhost:1933", help="Server URL") - parser.add_argument("--api-key", default=None, help="API key") - parser.add_argument("--agent-id", default=None, help="Agent ID") - parser.add_argument("--timeout", type=float, default=60.0, help="HTTP timeout in seconds") - args = parser.parse_args() - - client = ov.AsyncHTTPClient( - url=args.url, api_key=args.api_key, agent_id=args.agent_id, timeout=args.timeout - ) - - try: - # ── Connect ── - await client.initialize() - console.print( - Panel( - f"Connected to [bold cyan]{args.url}[/bold cyan]", - style="green", - width=PANEL_WIDTH, - ) - ) - console.print() - - # ── System Status ── - console.print(Panel("System Status", style="bold magenta", width=PANEL_WIDTH)) - status = client.get_status() - status_table = Table(box=box.SIMPLE, show_header=True, header_style="bold") - status_table.add_column("Component", style="cyan") - status_table.add_column("Healthy", justify="center") - status_table.add_row("Overall", _bool_mark(status.get("is_healthy"))) - for name, info in status.get("components", {}).items(): - status_table.add_row(f" {name}", _bool_mark(info.get("is_healthy"))) - console.print(status_table) - console.print() - - # ── Add Resource ── - console.print(Panel("Add Resource", style="bold magenta", width=PANEL_WIDTH)) - with console.status("Adding resource..."): - result = await client.add_resource( - path="https://raw.githubusercontent.com/volcengine/OpenViking/refs/heads/main/README.md", - reason="async demo", - ) - root_uri = result.get("root_uri", "") - console.print(f" Resource: [bold]{root_uri}[/bold]") - with console.status("Waiting for processing..."): - await client.wait_processed(timeout=120) - console.print(" [green]Processing complete[/green]") - console.print() - - # ── File System ── - console.print(Panel("File System", style="bold magenta", width=PANEL_WIDTH)) - entries = await client.ls("viking://") - fs_table = Table(box=box.SIMPLE, show_header=True, header_style="bold") - fs_table.add_column("Name", style="cyan") - fs_table.add_column("Type", style="dim") - for entry in entries: - if isinstance(entry, dict): - fs_table.add_row( - entry.get("name", "?"), - "dir" if entry.get("isDir") else "file", - ) - else: - fs_table.add_row(str(entry), "") - console.print(fs_table) - - tree = await client.tree("viking://") - tree_nodes = tree if isinstance(tree, list) else tree.get("children", []) - console.print(f" Tree nodes: [bold]{len(tree_nodes)}[/bold]") - console.print() - - # ── Content ── - if root_uri: - console.print(Panel("Content", style="bold magenta", width=PANEL_WIDTH)) - with console.status("Fetching abstract..."): - abstract = await client.abstract(root_uri) - console.print( - Panel( - Text(abstract[:300] + ("..." if len(abstract) > 300 else ""), style="white"), - title="Abstract", - style="dim", - width=PANEL_WIDTH, - ) - ) - with console.status("Fetching overview..."): - overview = await client.overview(root_uri) - console.print( - Panel( - Text(overview[:300] + ("..." if len(overview) > 300 else ""), style="white"), - title="Overview", - style="dim", - width=PANEL_WIDTH, - ) - ) - console.print() - - # ── Semantic Search (find) ── - console.print(Panel("Semantic Search", style="bold magenta", width=PANEL_WIDTH)) - with console.status("Searching..."): - results = await client.find("what is openviking", limit=3) - if hasattr(results, "resources") and results.resources: - search_table = Table( - box=box.ROUNDED, - show_header=True, - header_style="bold green", - ) - search_table.add_column("#", style="cyan", width=4) - search_table.add_column("URI", style="white") - search_table.add_column("Score", style="bold green", justify="right") - for i, r in enumerate(results.resources, 1): - search_table.add_row(str(i), r.uri, f"{r.score:.4f}") - console.print(search_table) - else: - console.print(" [dim]No results[/dim]") - console.print() - - # ── Grep & Glob ── - console.print(Panel("Grep & Glob", style="bold magenta", width=PANEL_WIDTH)) - grep_result = await client.grep(uri="viking://", pattern="OpenViking") - grep_count = len(grep_result) if isinstance(grep_result, list) else grep_result - console.print(f" Grep 'OpenViking': [bold]{grep_count}[/bold] matches") - - glob_result = await client.glob(pattern="**/*.md") - glob_count = len(glob_result) if isinstance(glob_result, list) else glob_result - console.print(f" Glob '**/*.md': [bold]{glob_count}[/bold] matches") - console.print() - - # ── Session + Context Search ── - console.print(Panel("Session & Context Search", style="bold magenta", width=PANEL_WIDTH)) - session = client.session() - console.print(f" Created session: [bold]{session.session_id}[/bold]") - - await session.add_message(role="user", content="Tell me about OpenViking") - await session.add_message( - role="assistant", - content="OpenViking is an agent-native context database.", - ) - console.print(" Added [bold]2[/bold] messages") - - with console.status("Searching with session context..."): - ctx_results = await client.search( - "how to use it", - session=session, - limit=3, - ) - if hasattr(ctx_results, "resources") and ctx_results.resources: - for r in ctx_results.resources: - console.print(f" [cyan]{r.uri}[/cyan] (score: [green]{r.score:.4f}[/green])") - else: - console.print(" [dim]No context search results[/dim]") - - await session.delete() - console.print(f" Deleted session: [dim]{session.session_id}[/dim]") - console.print() - - # ── Relations ── - console.print(Panel("Relations", style="bold magenta", width=PANEL_WIDTH)) - entries = await client.ls("viking://", simple=True) - if len(entries) >= 2: - uri_a = entries[0] if isinstance(entries[0], str) else entries[0].get("uri", "") - uri_b = entries[1] if isinstance(entries[1], str) else entries[1].get("uri", "") - if uri_a and uri_b: - await client.link(uri_a, uri_b, reason="demo link") - rels = await client.relations(uri_a) - rel_table = Table(box=box.SIMPLE, show_header=True, header_style="bold") - rel_table.add_column("Source", style="cyan") - rel_table.add_column("Target", style="white") - rel_table.add_column("Count", style="dim", justify="right") - rel_count = len(rels) if isinstance(rels, list) else rels - rel_table.add_row(uri_a, uri_b, str(rel_count)) - console.print(rel_table) - await client.unlink(uri_a, uri_b) - console.print(" [dim]Link removed[/dim]") - else: - console.print(" [dim]Need >= 2 resources for relation demo[/dim]") - console.print() - - # ── Observer ── - console.print(Panel("Observer", style="bold magenta", width=PANEL_WIDTH)) - observer = client.observer - obs_table = Table(box=box.SIMPLE, show_header=True, header_style="bold") - obs_table.add_column("Component", style="cyan") - obs_table.add_column("Healthy", justify="center") - obs_table.add_row("Queue", _bool_mark(observer.queue.get("is_healthy"))) - obs_table.add_row("VikingDB", _bool_mark(observer.vikingdb.get("is_healthy"))) - obs_table.add_row("VLM", _bool_mark(observer.vlm.get("is_healthy"))) - obs_table.add_row("System", _bool_mark(observer.system.get("is_healthy"))) - console.print(obs_table) - console.print() - - # ── Done ── - console.print( - Panel( - "[bold green]All operations completed[/bold green]", - style="green", - width=PANEL_WIDTH, - ) - ) - - except Exception as e: - console.print( - Panel( - f"[bold red]Error:[/bold red] {e}", - style="red", - width=PANEL_WIDTH, - ) - ) - import traceback - - traceback.print_exc() - - finally: - await client.close() - - -if __name__ == "__main__": - asyncio.run(main()) diff --git a/examples/server_client/client_cli.sh b/examples/server_client/client_cli.sh deleted file mode 100755 index 5ec71946d..000000000 --- a/examples/server_client/client_cli.sh +++ /dev/null @@ -1,229 +0,0 @@ -#!/usr/bin/env bash -# ============================================================================ -# OpenViking CLI Usage Examples -# -# This script demonstrates the OpenViking CLI commands and options. -# It walks through a typical workflow: health check → add resource → browse → -# search → session management → cleanup. -# -# Prerequisites: -# 1. Configure & start the server: -# Server reads ov.conf from (priority high → low): -# a) $OPENVIKING_CONFIG_FILE # env var, highest priority -# b) ~/.openviking/ov.conf # default path -# See ov.conf.example for template. -# -# openviking-server # default: localhost:1933 -# openviking-server --port 8080 # custom port -# openviking-server --config /path/to/ov.conf # explicit config path -# -# 2. Configure CLI connection (ovcli.conf): -# CLI reads ovcli.conf from (priority high → low): -# a) $OPENVIKING_CLI_CONFIG_FILE # env var, highest priority -# b) ~/.openviking/ovcli.conf # default path -# -# Example ovcli.conf: -# { -# "url": "http://localhost:1933", -# "api_key": null, -# "agent_id": null, -# "output": "table" -# } -# -# Fields: -# url - Server address (required) -# api_key - API key for authentication (null = no auth) -# agent_id - Agent identifier (null = not set) -# output - Default output format: "table" or "json" (default: "table") -# -# Usage: -# bash client_cli.sh -# ============================================================================ - -set -euo pipefail - - -section() { printf '\n\033[1;36m── %s ──\033[0m\n' "$1"; } - -# ============================================================================ -# Global Options -# ============================================================================ -# -# --output, -o Output format: table (default) or json -# --version Show version and exit -# -# Global options MUST be placed before the subcommand: -# openviking -o json ls viking:// ✓ -# openviking ls viking:// -o json ✗ (won't work) - -printf '\033[1m=== OpenViking CLI Usage Examples ===\033[0m\n' - -openviking --version - -# ============================================================================ -# 1. Health & Status -# ============================================================================ - -section "1.1 Health Check" -openviking health # table: {"healthy": true} -# openviking -o json health # json: {"ok": true, "result": {"healthy": true}} - -section "1.2 System Status" -openviking status # table: component status with ASCII tables - -section "1.3 Observer (per-component)" -openviking observer queue # queue processor status -# openviking observer vikingdb # VikingDB connection status -# openviking observer vlm # VLM service status -# openviking observer system # all components (same as `status`) - -# ============================================================================ -# 2. Resource Management -# ============================================================================ - -section "2.1 Add Resource" -# Add from URL (use -o json to capture root_uri for later commands) -ROOT_URI=$(openviking -o json add-resource \ - "https://raw.githubusercontent.com/volcengine/OpenViking/refs/heads/main/README.md" \ - | python3 -c "import sys,json; print(json.load(sys.stdin)['result']['root_uri'])") -echo " root_uri: $ROOT_URI" - -# Other add-resource options: -# openviking add-resource ./file --to viking://dst # specify target URI -# openviking add-resource ./file --reason "..." # attach import reason -# openviking add-resource ./file --wait # block until processing done -# openviking add-resource ./file --wait --timeout 60 - -section "2.2 Add Skill" -# openviking add-skill ./my_skill/SKILL.md # from SKILL.md file -# openviking add-skill ./skill_dir # from directory -# openviking add-skill "raw skill content" # from inline text -# openviking add-skill ./skill --wait --timeout 30 - -section "2.3 Wait for Processing" -openviking wait # block until all queues are idle -# openviking wait --timeout 120 # with timeout (seconds) - -# ============================================================================ -# 3. File System -# ============================================================================ - -section "3.1 List Directory" -openviking ls viking://resources/ # table: name, size, mode, ... -# openviking ls viking://resources/ --simple # simple: paths only -# openviking ls viking://resources/ --recursive # recursive listing -# openviking -o json ls viking://resources/ # json output - -section "3.2 Directory Tree" -openviking tree "$ROOT_URI" - -section "3.3 File Metadata" -openviking stat "$ROOT_URI" # table: single-row with all metadata - -section "3.4 File Operations" -# openviking mkdir viking://resources/new_dir -# openviking mv viking://resources/old viking://resources/new -# openviking rm viking://resources/file -# openviking rm viking://resources/dir --recursive - -# ============================================================================ -# 4. Content Reading (3 levels of detail) -# ============================================================================ - -section "4.1 Abstract (L0 - shortest summary)" -openviking abstract "$ROOT_URI" - -section "4.2 Overview (L1 - structured overview)" -openviking overview "$ROOT_URI" - -section "4.3 Read (L2 - full content)" -# openviking read "$ROOT_URI" # prints full file content - -# ============================================================================ -# 5. Search -# ============================================================================ - -section "5.1 Semantic Search (find)" -openviking find "what is openviking" --limit 3 -# openviking find "auth" --uri viking://resources/docs/ # search within URI -# openviking find "auth" --limit 5 --threshold 0.3 # with score threshold -# openviking -o json find "auth" # json output - -section "5.2 Pattern Search (grep)" -openviking grep "viking://" "OpenViking" -# openviking grep "viking://resources/" "pattern" --ignore-case - -section "5.3 File Glob" -openviking glob "**/*.md" -# openviking glob "*.py" --uri viking://resources/src/ # search within URI - -# ============================================================================ -# 6. Relations -# ============================================================================ - -section "6.1 List Relations" -openviking relations "$ROOT_URI" - -section "6.2 Link / Unlink" -# openviking link viking://a viking://b viking://c --reason "related docs" -# openviking unlink viking://a viking://b - -# ============================================================================ -# 7. Session Management -# ============================================================================ - -section "7.1 Create Session" -SESSION_ID=$(openviking -o json session new | python3 -c " -import sys, json; print(json.load(sys.stdin)['result']['session_id']) -") -echo " session_id: $SESSION_ID" - -section "7.2 Add Messages" -openviking session add-message "$SESSION_ID" \ - --role user --content "Tell me about OpenViking" -openviking session add-message "$SESSION_ID" \ - --role assistant --content "OpenViking is an agent-native context database." - -section "7.3 Get Session Details" -openviking session get "$SESSION_ID" - -section "7.4 Context-Aware Search" -# search uses session history for better relevance -openviking search "how to use it" --session-id "$SESSION_ID" --limit 3 -# openviking search "query" --session-id "$SESSION_ID" --threshold 0.3 - -section "7.5 List All Sessions" -openviking session list - -section "7.6 Commit Session (archive + extract memories)" -# openviking session commit "$SESSION_ID" - -section "7.7 Delete Session" -openviking session delete "$SESSION_ID" - -# ============================================================================ -# 8. Import / Export -# ============================================================================ - -section "8.1 Export" -# openviking export viking://resources/docs ./docs.ovpack - -section "8.2 Import" -# openviking import ./docs.ovpack viking://resources/imported -# openviking import ./docs.ovpack viking://resources/imported --force -# openviking import ./docs.ovpack viking://resources/imported --no-vectorize - -# ============================================================================ -# Output Format Comparison -# ============================================================================ - -section "Output: table (default)" -openviking ls viking://resources/ - -section "Output: json" -openviking -o json ls viking://resources/ - -section "Output: -o json (for scripts)" -openviking -o json ls viking://resources/ - -printf '\n\033[1m=== Done ===\033[0m\n' diff --git a/examples/server_client/client_sync.py b/examples/server_client/client_sync.py deleted file mode 100644 index 6a1d47c9d..000000000 --- a/examples/server_client/client_sync.py +++ /dev/null @@ -1,284 +0,0 @@ -#!/usr/bin/env python3 -""" -OpenViking 同步客户端示例 (HTTP mode) - -使用 SyncHTTPClient 通过 HTTP 连接远程 Server,演示完整 API。 - -前置条件: - 先启动 Server: openviking-server - -运行: - uv run client_sync.py - uv run client_sync.py --url http://localhost:1933 - uv run client_sync.py --api-key your-secret-key - uv run client_sync.py --agent-id my-agent -""" - -import argparse -import sys -import threading - -from rich import box -from rich.console import Console -from rich.live import Live -from rich.panel import Panel -from rich.spinner import Spinner -from rich.table import Table -from rich.text import Text - -import openviking as ov -from openviking_cli.utils.async_utils import run_async - -console = Console() -PANEL_WIDTH = 78 - - -def _bool_mark(value) -> str: - return "[green]Yes[/green]" if value else "[red]No[/red]" - - -def spin(message: str, func, *args, **kwargs): - """Run func with a spinner.""" - spinner = Spinner("dots", text=message) - result = None - error = None - - def _run(): - nonlocal result, error - try: - result = func(*args, **kwargs) - except Exception as e: - error = e - - t = threading.Thread(target=_run) - t.start() - with Live(spinner, console=console, refresh_per_second=10, transient=True): - t.join() - if error: - raise error - return result - - -def main(): - parser = argparse.ArgumentParser(description="OpenViking sync client example") - parser.add_argument("--url", default="http://localhost:1933", help="Server URL") - parser.add_argument("--api-key", default=None, help="API key") - parser.add_argument("--agent-id", default=None, help="Agent ID") - parser.add_argument("--timeout", type=float, default=60.0, help="HTTP timeout in seconds") - args = parser.parse_args() - - client = ov.SyncHTTPClient( - url=args.url, api_key=args.api_key, agent_id=args.agent_id, timeout=args.timeout - ) - - try: - # ── Connect ── - spin("Connecting...", client.initialize) - console.print( - Panel( - f"Connected to [bold cyan]{args.url}[/bold cyan]", - style="green", - width=PANEL_WIDTH, - ) - ) - console.print() - - # ── System Status ── - console.print(Panel("System Status", style="bold magenta", width=PANEL_WIDTH)) - status = client.get_status() - status_table = Table(box=box.SIMPLE, show_header=True, header_style="bold") - status_table.add_column("Component", style="cyan") - status_table.add_column("Healthy", justify="center") - status_table.add_row("Overall", _bool_mark(status.get("is_healthy"))) - for name, info in status.get("components", {}).items(): - status_table.add_row(f" {name}", _bool_mark(info.get("is_healthy"))) - console.print(status_table) - console.print() - - # ── Add Resource ── - console.print(Panel("Add Resource", style="bold magenta", width=PANEL_WIDTH)) - result = spin( - "Adding resource...", - client.add_resource, - path="https://raw.githubusercontent.com/volcengine/OpenViking/refs/heads/main/README.md", - reason="demo resource", - ) - root_uri = result.get("root_uri", "") - console.print(f" Resource: [bold]{root_uri}[/bold]") - spin("Waiting for processing...", client.wait_processed, timeout=120) - console.print(" [green]Processing complete[/green]") - console.print() - - # ── File System ── - console.print(Panel("File System", style="bold magenta", width=PANEL_WIDTH)) - entries = client.ls("viking://") - fs_table = Table(box=box.SIMPLE, show_header=True, header_style="bold") - fs_table.add_column("Name", style="cyan") - fs_table.add_column("Type", style="dim") - for entry in entries: - if isinstance(entry, dict): - fs_table.add_row( - entry.get("name", "?"), - "dir" if entry.get("isDir") else "file", - ) - else: - fs_table.add_row(str(entry), "") - console.print(fs_table) - - tree = client.tree("viking://") - tree_nodes = tree if isinstance(tree, list) else tree.get("children", []) - console.print(f" Tree nodes: [bold]{len(tree_nodes)}[/bold]") - console.print() - - # ── Content ── - if root_uri: - console.print(Panel("Content", style="bold magenta", width=PANEL_WIDTH)) - abstract = client.abstract(root_uri) - console.print( - Panel( - Text(abstract[:300] + ("..." if len(abstract) > 300 else ""), style="white"), - title="Abstract", - style="dim", - width=PANEL_WIDTH, - ) - ) - overview = client.overview(root_uri) - console.print( - Panel( - Text(overview[:300] + ("..." if len(overview) > 300 else ""), style="white"), - title="Overview", - style="dim", - width=PANEL_WIDTH, - ) - ) - console.print() - - # ── Semantic Search (find) ── - console.print(Panel("Semantic Search", style="bold magenta", width=PANEL_WIDTH)) - results = spin("Searching...", client.find, "what is openviking", limit=3) - if hasattr(results, "resources") and results.resources: - search_table = Table( - box=box.ROUNDED, - show_header=True, - header_style="bold green", - ) - search_table.add_column("#", style="cyan", width=4) - search_table.add_column("URI", style="white") - search_table.add_column("Score", style="bold green", justify="right") - for i, r in enumerate(results.resources, 1): - search_table.add_row(str(i), r.uri, f"{r.score:.4f}") - console.print(search_table) - else: - console.print(" [dim]No results[/dim]") - console.print() - - # ── Grep & Glob ── - console.print(Panel("Grep & Glob", style="bold magenta", width=PANEL_WIDTH)) - grep_result = client.grep(uri="viking://", pattern="OpenViking") - grep_count = len(grep_result) if isinstance(grep_result, list) else grep_result - console.print(f" Grep 'OpenViking': [bold]{grep_count}[/bold] matches") - - glob_result = client.glob(pattern="**/*.md") - glob_count = len(glob_result) if isinstance(glob_result, list) else glob_result - console.print(f" Glob '**/*.md': [bold]{glob_count}[/bold] matches") - console.print() - - # ── Session + Context Search ── - console.print(Panel("Session & Context Search", style="bold magenta", width=PANEL_WIDTH)) - session = client.session() - console.print(f" Created session: [bold]{session.session_id}[/bold]") - - run_async( - session.add_message( - role="user", - content="Tell me about OpenViking", - ) - ) - run_async( - session.add_message( - role="assistant", - content="OpenViking is an agent-native context database.", - ) - ) - console.print(" Added [bold]2[/bold] messages") - - ctx_results = spin( - "Searching with session context...", - client.search, - "how to use it", - session_id=session.session_id, - limit=3, - ) - if hasattr(ctx_results, "resources") and ctx_results.resources: - for r in ctx_results.resources: - console.print(f" [cyan]{r.uri}[/cyan] (score: [green]{r.score:.4f}[/green])") - else: - console.print(" [dim]No context search results[/dim]") - - run_async(session.delete()) - console.print(f" Deleted session: [dim]{session.session_id}[/dim]") - console.print() - - # ── Relations ── - console.print(Panel("Relations", style="bold magenta", width=PANEL_WIDTH)) - entries = client.ls("viking://", simple=True) - if len(entries) >= 2: - uri_a = entries[0] if isinstance(entries[0], str) else entries[0].get("uri", "") - uri_b = entries[1] if isinstance(entries[1], str) else entries[1].get("uri", "") - if uri_a and uri_b: - client.link(uri_a, uri_b, reason="demo link") - rels = client.relations(uri_a) - rel_table = Table(box=box.SIMPLE, show_header=True, header_style="bold") - rel_table.add_column("Source", style="cyan") - rel_table.add_column("Target", style="white") - rel_table.add_column("Count", style="dim", justify="right") - rel_count = len(rels) if isinstance(rels, list) else rels - rel_table.add_row(uri_a, uri_b, str(rel_count)) - console.print(rel_table) - client.unlink(uri_a, uri_b) - console.print(" [dim]Link removed[/dim]") - else: - console.print(" [dim]Need >= 2 resources for relation demo[/dim]") - console.print() - - # ── Observer ── - console.print(Panel("Observer", style="bold magenta", width=PANEL_WIDTH)) - observer = client.observer - obs_table = Table(box=box.SIMPLE, show_header=True, header_style="bold") - obs_table.add_column("Component", style="cyan") - obs_table.add_column("Healthy", justify="center") - obs_table.add_row("Queue", _bool_mark(observer.queue.get("is_healthy"))) - obs_table.add_row("VikingDB", _bool_mark(observer.vikingdb.get("is_healthy"))) - obs_table.add_row("VLM", _bool_mark(observer.vlm.get("is_healthy"))) - obs_table.add_row("System", _bool_mark(observer.system.get("is_healthy"))) - console.print(obs_table) - console.print() - - # ── Done ── - console.print( - Panel( - "[bold green]All operations completed[/bold green]", - style="green", - width=PANEL_WIDTH, - ) - ) - - except Exception as e: - console.print( - Panel( - f"[bold red]Error:[/bold red] {e}", - style="red", - width=PANEL_WIDTH, - ) - ) - import traceback - - traceback.print_exc() - sys.exit(1) - - finally: - client.close() - - -if __name__ == "__main__": - main() diff --git a/examples/server_client/ov.conf.example b/examples/server_client/ov.conf.example deleted file mode 100644 index adaa2b414..000000000 --- a/examples/server_client/ov.conf.example +++ /dev/null @@ -1,39 +0,0 @@ -{ - "server": { - "host": "0.0.0.0", - "port": 1933, - "root_api_key": null, - "cors_origins": ["*"] - }, - "storage": { - "workspace": "./data", - "vectordb": { - "name": "context", - "backend": "local" - }, - "agfs": { - "port": 1833, - "log_level": "warn", - "backend": "local" - } - }, - "embedding": { - "dense": { - "model": "doubao-embedding-vision-250615", - "api_key": "{your-api-key}", - "api_base": "https://ark.cn-beijing.volces.com/api/v3", - "dimension": 1024, - "provider": "volcengine", - "input": "multimodal" - } - }, - "vlm": { - "model": "doubao-seed-2-0-pro-260215", - "api_key": "{your-api-key}", - "api_base": "https://ark.cn-beijing.volces.com/api/v3", - "temperature": 0.0, - "max_retries": 2, - "provider": "volcengine", - "thinking": false - } -} diff --git a/examples/server_client/ovcli.conf.example b/examples/server_client/ovcli.conf.example deleted file mode 100644 index f461ddbb6..000000000 --- a/examples/server_client/ovcli.conf.example +++ /dev/null @@ -1,6 +0,0 @@ -{ - "url": "http://localhost:1933", - "api_key": null, - "agent_id": null, - "output": "table" -} diff --git a/examples/server_client/pyproject.toml b/examples/server_client/pyproject.toml deleted file mode 100644 index e739300a7..000000000 --- a/examples/server_client/pyproject.toml +++ /dev/null @@ -1,13 +0,0 @@ -[project] -name = "server-client-example" -version = "0.1.0" -description = "OpenViking Server-Client example" -readme = "README.md" -requires-python = ">=3.12" -dependencies = [ - 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