# frontend - Doramagic AI Context Pack

> 定位：安装前体验与判断资产。它帮助宿主 AI 有一个好的开始，但不代表已经安装、执行或验证目标项目。

## 充分原则

- **充分原则，不是压缩原则**：AI Context Pack 应该充分到让宿主 AI 在开工前理解项目价值、能力边界、使用入口、风险和证据来源；它可以分层组织，但不以最短摘要为目标。
- **压缩策略**：只压缩噪声和重复内容，不压缩会影响判断和开工质量的上下文。

## 给宿主 AI 的使用方式

你正在读取 Doramagic 为 frontend 编译的 AI Context Pack。请把它当作开工前上下文：帮助用户理解适合谁、能做什么、如何开始、哪些必须安装后验证、风险在哪里。不要声称你已经安装、运行或执行了目标项目。

## Claim 消费规则

- **事实来源**：Repo Evidence + Claim/Evidence Graph；Human Wiki 只提供显著性、术语和叙事结构。
- **事实最低状态**：`supported`
- `supported`：可以作为项目事实使用，但回答中必须引用 claim_id 和证据路径。
- `weak`：只能作为低置信度线索，必须要求用户继续核实。
- `inferred`：只能用于风险提示或待确认问题，不能包装成项目事实。
- `unverified`：不得作为事实使用，应明确说证据不足。
- `contradicted`：必须展示冲突来源，不得替用户强行选择一个版本。

## 它最适合谁

- **想在安装前理解开源项目价值和边界的用户**：当前证据主要来自项目文档。 证据：`README.md` Claim：`clm_0002` supported 0.86

## 它能做什么

- **命令行启动或安装流程**（需要安装后验证）：项目文档中存在可执行命令，真实使用需要在本地或宿主环境中运行这些命令。 证据：`README.md` Claim：`clm_0001` supported 0.86

## 怎么开始

- `pip install -U pathway` 证据：`README.md` Claim：`clm_0003` supported 0.86

## 继续前判断卡

- **当前建议**：先做角色匹配试用
- **为什么**：这个项目更像角色库，核心风险是选错角色或把角色文案当执行能力；先用 Prompt Preview 试角色匹配，再决定是否沙盒导入。

### 30 秒判断

- **现在怎么做**：先做角色匹配试用
- **最小安全下一步**：先用 Prompt Preview 试角色匹配；满意后再隔离导入
- **先别相信**：角色质量和任务匹配不能直接相信。
- **继续会触碰**：角色选择偏差、命令执行、本地环境或项目文件

### 现在可以相信

- **适合人群线索：想在安装前理解开源项目价值和边界的用户**（supported）：有 supported claim 或项目证据支撑，但仍不等于真实安装效果。 证据：`README.md` Claim：`clm_0002` supported 0.86
- **能力存在：命令行启动或安装流程**（supported）：可以相信项目包含这类能力线索；是否适合你的具体任务仍要试用或安装后验证。 证据：`README.md` Claim：`clm_0001` supported 0.86
- **存在 Quick Start / 安装命令线索**（supported）：可以相信项目文档出现过启动或安装入口；不要因此直接在主力环境运行。 证据：`README.md` Claim：`clm_0003` supported 0.86

### 现在还不能相信

- **角色质量和任务匹配不能直接相信。**（unverified）：角色库证明有很多角色，不证明每个角色都适合你的具体任务，也不证明角色能产生高质量结果。
- **不能把角色文案当成真实执行能力。**（unverified）：安装前只能判断角色描述和任务画像是否匹配，不能证明它能在宿主 AI 里完成任务。
- **真实输出质量不能在安装前相信。**（unverified）：Prompt Preview 只能展示引导方式，不能证明真实项目中的结果质量。
- **宿主 AI 版本兼容性不能在安装前相信。**（unverified）：Claude、Cursor、Codex、Gemini 等宿主加载规则和版本差异必须在真实环境验证。
- **不会污染现有宿主 AI 行为，不能直接相信。**（inferred）：Skill、plugin、AGENTS/CLAUDE/GEMINI 指令可能改变宿主 AI 的默认行为。
- **可安全回滚不能默认相信。**（unverified）：除非项目明确提供卸载和恢复说明，否则必须先在隔离环境验证。
- **真实安装后是否与用户当前宿主 AI 版本兼容？**（unverified）：兼容性只能通过实际宿主环境验证。
- **项目输出质量是否满足用户具体任务？**（unverified）：安装前预览只能展示流程和边界，不能替代真实评测。

### 继续会触碰什么

- **角色选择偏差**：用户对任务应该由哪个专家角色处理的判断。 原因：选错角色会让 AI 从错误专业视角回答，浪费时间或误导决策。
- **命令执行**：包管理器、网络下载、本地插件目录、项目配置或用户主目录。 原因：运行第一条命令就可能产生环境改动；必须先判断是否值得跑。 证据：`README.md`
- **本地环境或项目文件**：安装结果、插件缓存、项目配置或本地依赖目录。 原因：安装前无法证明写入范围和回滚方式，需要隔离验证。 证据：`README.md`
- **宿主 AI 上下文**：AI Context Pack、Prompt Preview、Skill 路由、风险规则和项目事实。 原因：导入上下文会影响宿主 AI 后续判断，必须避免把未验证项包装成事实。

### 最小安全下一步

- **先跑 Prompt Preview**：先用交互式试用验证任务画像和角色匹配，不要先导入整套角色库。（适用：任何项目都适用，尤其是输出质量未知时。）
- **只在隔离目录或测试账号试装**：避免安装命令污染主力宿主 AI、真实项目或用户主目录。（适用：存在命令执行、插件配置或本地写入线索时。）
- **安装后只验证一个最小任务**：先验证加载、兼容、输出质量和回滚，再决定是否深用。（适用：准备从试用进入真实工作流时。）

### 退出方式

- **保留安装前状态**：记录原始宿主配置和项目状态，后续才能判断是否可恢复。
- **保留原始角色选择记录**：如果输出偏题，可以回到任务画像阶段重新选择角色，而不是继续沿着错误角色推进。
- **记录安装命令和写入路径**：没有明确卸载说明时，至少要知道哪些目录或配置需要手动清理。
- **如果没有回滚路径，不进入主力环境**：不可回滚是继续前阻断项，不应靠信任或运气继续。

## 哪些只能预览

- 解释项目适合谁和能做什么
- 基于项目文档演示典型对话流程
- 帮助用户判断是否值得安装或继续研究

## 哪些必须安装后验证

- 真实安装 Skill、插件或 CLI
- 执行脚本、修改本地文件或访问外部服务
- 验证真实输出质量、性能和兼容性

## 边界与风险判断卡

- **把安装前预览误认为真实运行**：用户可能高估项目已经完成的配置、权限和兼容性验证。 处理方式：明确区分 prompt_preview_can_do 与 runtime_required。 Claim：`clm_0004` inferred 0.45
- **命令执行会修改本地环境**：安装命令可能写入用户主目录、宿主插件目录或项目配置。 处理方式：先在隔离环境或测试账号中运行。 证据：`README.md` Claim：`clm_0005` supported 0.86
- **待确认**：真实安装后是否与用户当前宿主 AI 版本兼容？。原因：兼容性只能通过实际宿主环境验证。
- **待确认**：项目输出质量是否满足用户具体任务？。原因：安装前预览只能展示流程和边界，不能替代真实评测。
- **待确认**：安装命令是否需要网络、权限或全局写入？。原因：这影响企业环境和个人环境的安装风险。

## 开工前工作上下文

### 加载顺序

- 先读取 how_to_use.host_ai_instruction，建立安装前判断资产的边界。
- 读取 claim_graph_summary，确认事实来自 Claim/Evidence Graph，而不是 Human Wiki 叙事。
- 再读取 intended_users、capabilities 和 quick_start_candidates，判断用户是否匹配。
- 需要执行具体任务时，优先查 role_skill_index，再查 evidence_index。
- 遇到真实安装、文件修改、网络访问、性能或兼容性问题时，转入 risk_card 和 boundaries.runtime_required。

### 任务路由

- **命令行启动或安装流程**：先说明这是安装后验证能力，再给出安装前检查清单。 边界：必须真实安装或运行后验证。 证据：`README.md` Claim：`clm_0001` supported 0.86

### 上下文规模

- 文件总数：2326
- 重要文件覆盖：40/2326
- 证据索引条目：80
- 角色 / Skill 条目：77

### 证据不足时的处理

- **missing_evidence**：说明证据不足，要求用户提供目标文件、README 段落或安装后验证记录；不要补全事实。
- **out_of_scope_request**：说明该任务超出当前 AI Context Pack 证据范围，并建议用户先查看 Human Manual 或真实安装后验证。
- **runtime_request**：给出安装前检查清单和命令来源，但不要替用户执行命令或声称已执行。
- **source_conflict**：同时展示冲突来源，标记为待核实，不要强行选择一个版本。

## Prompt Recipes

### 适配判断

- 目标：判断这个项目是否适合用户当前任务。
- 预期输出：适配结论、关键理由、证据引用、安装前可预览内容、必须安装后验证内容、下一步建议。

```text
请基于 frontend 的 AI Context Pack，先问我 3 个必要问题，然后判断它是否适合我的任务。回答必须包含：适合谁、能做什么、不能做什么、是否值得安装、证据来自哪里。所有项目事实必须引用 evidence_refs、source_paths 或 claim_id。
```

### 安装前体验

- 目标：让用户在安装前感受核心工作流，同时避免把预览包装成真实能力或营销承诺。
- 预期输出：一段带边界标签的体验剧本、安装后验证清单和谨慎建议；不含真实运行承诺或强营销表述。

```text
请把 frontend 当作安装前体验资产，而不是已安装工具或真实运行环境。

请严格输出四段：
1. 先问我 3 个必要问题。
2. 给出一段“体验剧本”：用 [安装前可预览]、[必须安装后验证]、[证据不足] 三种标签展示它可能如何引导工作流。
3. 给出安装后验证清单：列出哪些能力只有真实安装、真实宿主加载、真实项目运行后才能确认。
4. 给出谨慎建议：只能说“值得继续研究/试装”“先补充信息后再判断”或“不建议继续”，不得替项目背书。

硬性边界：
- 不要声称已经安装、运行、执行测试、修改文件或产生真实结果。
- 不要写“自动适配”“确保通过”“完美适配”“强烈建议安装”等承诺性表达。
- 如果描述安装后的工作方式，必须使用“如果安装成功且宿主正确加载 Skill，它可能会……”这种条件句。
- 体验剧本只能写成“示例台词/假设流程”：使用“可能会询问/可能会建议/可能会展示”，不要写“已写入、已生成、已通过、正在运行、正在生成”。
- Prompt Preview 不负责给安装命令；如用户准备试装，只能提示先阅读 Quick Start 和 Risk Card，并在隔离环境验证。
- 所有项目事实必须来自 supported claim、evidence_refs 或 source_paths；inferred/unverified 只能作风险或待确认项。

```

### 角色 / Skill 选择

- 目标：从项目里的角色或 Skill 中挑选最匹配的资产。
- 预期输出：候选角色或 Skill 列表，每项包含适用场景、证据路径、风险边界和是否需要安装后验证。

```text
请读取 role_skill_index，根据我的目标任务推荐 3-5 个最相关的角色或 Skill。每个推荐都要说明适用场景、可能输出、风险边界和 evidence_refs。
```

### 风险预检

- 目标：安装或引入前识别环境、权限、规则冲突和质量风险。
- 预期输出：环境、权限、依赖、许可、宿主冲突、质量风险和未知项的检查清单。

```text
请基于 risk_card、boundaries 和 quick_start_candidates，给我一份安装前风险预检清单。不要替我执行命令，只说明我应该检查什么、为什么检查、失败会有什么影响。
```

### 宿主 AI 开工指令

- 目标：把项目上下文转成一次对话开始前的宿主 AI 指令。
- 预期输出：一段边界明确、证据引用明确、适合复制给宿主 AI 的开工前指令。

```text
请基于 frontend 的 AI Context Pack，生成一段我可以粘贴给宿主 AI 的开工前指令。这段指令必须遵守 not_runtime=true，不能声称项目已经安装、运行或产生真实结果。
```


## 角色 / Skill 索引

- 共索引 77 个角色 / Skill / 项目文档条目。

- **Pathway Live Data Framework**（project_doc）：Getting Started Deployment Documentation and Support Blog License 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`README.md`
- **Pathway examples**（project_doc）：This repository contains examples of data processing using Pathway https://pathway.com/developers/documentation/introduction/welcome , the Python-based programming framework for easy building of realtime and reactive data products. 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`examples/README.md`
- **AG2 Multi-Agent Conversations with Pathway Real-Time RAG**（project_doc）：AG2 Multi-Agent Conversations with Pathway Real-Time RAG 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`examples/projects/ag2-multiagent-rag/README.md`
- **Azure ACI Deployment Example**（project_doc）：This repository contains an example for the tutorial: "Running Pathway Program in Azure with Azure Container Instances" https://pathway.com/developers/user-guide/deployment/azure-aci-deploy . 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`examples/projects/azure-aci-deploy/README.md`
- **Best-rated movies examples**（project_doc）：The purpose of this project is two-fold: 1. doing an end-to-end application with Pathway to compute the K-best-rated items in a movie dataset, 2. switching from Kafka to Redpanda 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`examples/projects/best-movies-example/README.md`
- **Best-rated movies example - Kafka version**（project_doc）：Best-rated movies example - Kafka version 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`examples/projects/best-movies-example/kafka-version/README.md`
- **Best-rated movies example - Redpanda version**（project_doc）：Best-rated movies example - Redpanda version 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`examples/projects/best-movies-example/redpanda-version/README.md`
- **Make your LLM app sane again: Forgetting incorrect data in real time**（project_doc）：Make your LLM app sane again: Forgetting incorrect data in real time 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`examples/projects/conf42/README.md`
- **Custom python connector example**（project_doc）：⚠️ Twitter has turned off its free tier streaming API. 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`examples/projects/custom-python-connector-twitter/README.md`
- **Tutorial: From interactive data exploration to deployment**（project_doc）：Tutorial: From interactive data exploration to deployment 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`examples/projects/from_jupyter_to_deploy/README.md`
- **ETL with Kafka in/Kafka out**（project_doc）：In this project, you build an ETL pipeline with Pathway with Kafka in and Kafka out. Two data sources broadcast date times with different time zones to different Kafka topics. Pathway connects to those topics, extracts E the data, transforms T the date times to timestamps, and loads L the data to a third Kafka topic. 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`examples/projects/kafka-ETL/README.md`
- **Benchmark for Delta Lake S3 messaging as a Kafka replacement**（project_doc）：Benchmark for Delta Lake S3 messaging as a Kafka replacement 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`examples/projects/kafka-alternatives/benchmarks/README.md`
- **Pathway Monitoring using OpenTelemetry Collector and Grafana Cloud**（project_doc）：Pathway Monitoring using OpenTelemetry Collector and Grafana Cloud 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`examples/projects/monitoring/README.md`
- **Computing Option Greeks with Pathway and Databento.**（project_doc）：Computing Option Greeks with Pathway and Databento. 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`examples/projects/option-greeks/README.md`
- **Retrieval-Augmented Generation RAG Pipeline with Pathway**（project_doc）：Retrieval-Augmented Generation RAG Pipeline with Pathway 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`examples/projects/question-answering-rag/README.md`
- **Realtime monitoring of logs**（project_doc）：The purpose of this project is to do an end-to-end application with Pathway to monitors logs such as nginx logs . It connects Filebeat to Pathway via Kafka and send the alerts to a Slack channel. 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`examples/projects/realtime-log-monitoring/filebeat-pathway-slack/README.md`
- **Realtime monitoring of logs**（project_doc）：The purpose of this project is to do an end-to-end application with Pathway to monitors logs such as nginx logs . It connects Filebeat/Logstash to Pathway via Kafka and send the alerts to ElasticSearch. 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`examples/projects/realtime-log-monitoring/logstash-pathway-elastic/README.md`
- **Sample Pathway program for SharePoint connection testing**（project_doc）：Sample Pathway program for SharePoint connection testing 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`examples/projects/sharepoint-test/README.md`
- **Data Preparation for Spark Analytics**（project_doc）：Data Preparation for Spark Analytics 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`examples/projects/spark-data-preparation/README.md`
- **Realtime Twitter Analysis App with Pathway**（project_doc）：Realtime Twitter Analysis App with Pathway 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`examples/projects/twitter/README.md`
- **Web Scraping with Pathway**（project_doc）：This project demonstrates how to create a real-time web scraper using Pathway, a powerful data processing framework. The implementation fetches and processes news articles from websites, making it possible to continuously monitor and analyze the web content. 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`examples/projects/web-scraping/README.md`
- **Pathway EL Pipeline**（project_doc）：Pathway's EL pipeline allows you to move data from different data sources Extract to the sinks of your choice Load . By customizing a single YAML file, you can configure and run the pipeline without modifying any Python code. You can learn more about the pipeline in our article https://pathway.com/developers/templates/etl/el-pipeline/ . 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`examples/templates/el-pipeline/README.md`
- **Worst-case optimal joins and delta queries in differential dataflow**（project_doc）：Worst-case optimal joins and delta queries in differential dataflow 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`external/differential-dataflow/dogsdogsdogs/README.md`
- **Graph Server**（project_doc）：A differential dataflow server for continually changing graphs 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`external/differential-dataflow/server/README.md`
- **tpchlike: a TPCH-like evaluation of differential dataflow**（project_doc）：tpchlike: a TPCH-like evaluation of differential dataflow 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`external/differential-dataflow/tpchlike/README.md`
- **Pathway RAG evals**（project_doc）：Introduction This folder contains the automated continuous integration tests for RAG evaluations. 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`integration_tests/rag_evals/README.md`
- **Pathway LLM Extension Pack**（project_doc）：This XPack contains Pathway pathway.com functions useful in building data processing pipelines involving LLM models: 1. pathway-compatible wrappers UDFs for popular AI and language modeling tasks, such as: - document parsing - text embedding - LLM API calls 2. ready-made document processing pipelines for popular tasks: - document indexing 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`python/pathway/xpacks/llm/README.md`
- **Contributing to Pathway**（project_doc）：Welcome! This guide is intended to help developers that are new to the community to make contributions to the Pathway project. Please be sure to also read our code of conduct CODE OF CONDUCT.md . We work hard to make this a welcoming community for all, and we're excited to have you on board! 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`CONTRIBUTING.md`
- **Contributing to Pathway**（project_doc）：Welcome! This guide is intended to help developers that are new to the community to make contributions to the Pathway project. Please be sure to also read our code of conduct CODE OF CONDUCT.md . We work hard to make this a welcoming community for all, and we're excited to have you on board! 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`examples/CONTRIBUTING.md`
- **.Changelog**（project_doc）：This page references the Changelog of Pathway 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`docs/2.developers/4.user-guide/.changelog.md`
- **Welcome to Pathway Developer Documentation!**（project_doc）：Welcome to the Pathway developer hub 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`docs/2.developers/4.user-guide/10.introduction/10.welcome.md`
- **Installation**（project_doc）：Installation page of Pathway 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`docs/2.developers/4.user-guide/10.introduction/20.installation.md`
- **Quick Overview of Pathway**（project_doc）：Quick introduction to Pathway operators. 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`docs/2.developers/4.user-guide/10.introduction/30.pathway-overview.md`
- **Pathway in Minutes: Quick ETL Examples**（project_doc）：A step-by-step guide to build a real-time pipeline with Pathway 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`docs/2.developers/4.user-guide/10.introduction/40.first_realtime_app_with_pathway.md`
- **Core Concepts**（project_doc）：A review of the core concepts behind the Pathway programming framework. 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`docs/2.developers/4.user-guide/10.introduction/50.concepts.md`
- **The Easiest Solution for Python Stream Processing, Data Indexing, and Real-Time AI Analytics.**（project_doc）：Why you should use Pathway 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`docs/2.developers/4.user-guide/10.introduction/60.why-pathway.md`
- **Pathway Framework Licensing Guide**（project_doc）：Quick Licensing Guide of Pathway 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`docs/2.developers/4.user-guide/10.introduction/65.licensing-guide.md`
- **Batch Processing in Python: Why Pathway Is Ideal for Both Streaming and Static Workloads**（project_doc）：Why Pathway makes sense for batch processing? 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`docs/2.developers/4.user-guide/10.introduction/80.batch-processing.md`
- **Connectors**（project_doc）：Pathway supported data sources 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`docs/2.developers/4.user-guide/20.connect/10.supported-data-sources.md`
- **Connectors in Pathway**（project_doc）：Presentation of Pathway connectors. 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`docs/2.developers/4.user-guide/20.connect/30.connectors-in-pathway.md`
- **Pathway connectors**（project_doc）：Pathway supported data sources 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`docs/2.developers/4.user-guide/20.connect/35.pathway-connectors.md`
- **Data Types and Schemas**（project_doc）：Defining schema in Pathway 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`docs/2.developers/4.user-guide/20.connect/40.schema.md`
- **Artificial Data Streams with the demo Module**（project_doc）：How to generate artificial data streams using the demo module 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`docs/2.developers/4.user-guide/20.connect/50.artificial-streams.md`
- **Switching from Batch to Streaming**（project_doc）：How to switch from batch to streaming with Pathway 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`docs/2.developers/4.user-guide/20.connect/80.switch-from-batch-to-streaming.md`
- **Making Your Python Web Scraping Go Live with Pathway**（project_doc）：Python Web Scraping with Pathway 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`docs/2.developers/4.user-guide/20.connect/90.python-web-scraping.md`
- **Using CSV connectors**（project_doc）：Tutorial on CSV connectors 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`docs/2.developers/4.user-guide/20.connect/99.connectors/10.csv_connectors.md`
- **Sending alerts to Slack**（project_doc）：Tutorial on the connector for sending alerts to Slack 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`docs/2.developers/4.user-guide/20.connect/99.connectors/100.slack_send_alerts.md`
- **Airbyte connectors available in Pathway**（project_doc）：List of Airbyte connectors you can use with Pathway 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`docs/2.developers/4.user-guide/20.connect/99.connectors/110.airbyte-connectors.md`
- **Using Pathway Debezium Connector for MongoDB**（project_doc）：How to use the Debezium connector in Pathway to perform change data capture from MongoDB 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`docs/2.developers/4.user-guide/20.connect/99.connectors/115.mongodb-debezium.md`
- **Using database connectors**（project_doc）：Tutorial on Database connectors 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`docs/2.developers/4.user-guide/20.connect/99.connectors/20.database-connectors.md`
- **Creating a custom Python connector**（project_doc）：Tutorial on how to create custom Python connector 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`docs/2.developers/4.user-guide/20.connect/99.connectors/30.custom-python-connectors.md`
- **Using Kafka connectors**（project_doc）：Tutorial on how to use Kafka connectors 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`docs/2.developers/4.user-guide/20.connect/99.connectors/30.kafka_connectors.md`
- **Using NATS connectors**（project_doc）：Tutorial on how to use NATS connectors 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`docs/2.developers/4.user-guide/20.connect/99.connectors/33.nats-connectors.md`
- **Subscribing to changes with Python function**（project_doc）：Tutorial on how to subscribe to changes with Python callback 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`docs/2.developers/4.user-guide/20.connect/99.connectors/35.python-output-connectors.md`
- **Google Drive connector**（project_doc）：Tutorial on Google Drive connector 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`docs/2.developers/4.user-guide/20.connect/99.connectors/70.gdrive-connector.md`
- **Switching from Kafka to Redpanda**（project_doc）：Tutorial on how to use Redpanda instead of Kafka 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`docs/2.developers/4.user-guide/20.connect/99.connectors/80.switching-to-redpanda.md`
- **Consuming WebSockets streams**（project_doc）：Creating a custom WebSockets connector in Pathway 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`docs/2.developers/4.user-guide/20.connect/99.connectors/90.websockets-connectors.md`
- **Table Operations: An Overview**（project_doc）：Overview of the basic transformations available in Pathway 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`docs/2.developers/4.user-guide/30.data-transformation/10.table-operations.md`
- **Taking You to the SQL API Documentation**（project_doc）：Pathway SQL API 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`docs/2.developers/4.user-guide/30.data-transformation/80.sql.md`
- **Understanding Temporal Behavior in Pathway**（project_doc）：How to define the behavior of your streamed data in Pathway 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`docs/2.developers/4.user-guide/40.temporal-data/20.behaviors.md`
- **Bridging Financial Data Streams: A Look at ASOF Join in Pathway**（project_doc）：Tutorial about ASOF Joins in Pathway. 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`docs/2.developers/4.user-guide/40.temporal-data/40.asof-join.md`
- **LLM Chats**（project_doc）：LLM Wrappers available through Pathway xpack 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`docs/2.developers/4.user-guide/50.llm-xpack/.chats/llm-chats.md`
- **Embedders**（project_doc）：Embedders available through the Pathway xpack 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`docs/2.developers/4.user-guide/50.llm-xpack/.embedders/embedders.md`
- **LLM Examples**（project_doc）：LLM examples made with Pathway LLM tooling 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`docs/2.developers/4.user-guide/50.llm-xpack/.llm-examples.md`
- **Parsers**（project_doc）：Article about Pathway's parsers. 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`docs/2.developers/4.user-guide/50.llm-xpack/.parsers/parsers.md`
- **Rerankers**（project_doc）：Rerankers available through the Pathway xpack 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`docs/2.developers/4.user-guide/50.llm-xpack/.rerankers/rerankers.md`
- **Chunking**（project_doc）：Splitters available through the Pathway xpack 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`docs/2.developers/4.user-guide/50.llm-xpack/.splitters/splitters.md`
- **Introduction to the LLM xpack**（project_doc）：Introduction to the Pathway LLM xpack 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`docs/2.developers/4.user-guide/50.llm-xpack/10.overview.md`
- **Create your own real-time RAG with Pathway**（project_doc）：Create your own RAG Pipeline with Pathway 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`docs/2.developers/4.user-guide/50.llm-xpack/20.llm-app-pathway.md`
- **Document Indexing**（project_doc）：Introduction to the Pathway LLM xpack 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`docs/2.developers/4.user-guide/50.llm-xpack/30.docs-indexing.md`
- **Pathway MCP Server**（project_doc）：Tutorial about how to set up and use Pathway MCP Server 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`docs/2.developers/4.user-guide/50.llm-xpack/40.pathway_mcp_server.md`
- **Using Pathway MCP Server with Claude Desktop**（project_doc）：Tutorial on connecting Pathway MCP Server to Claude Desktop for real-time data access 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`docs/2.developers/4.user-guide/50.llm-xpack/41.pathway-mcp-claude-desktop.md`
- **Cloud Deployment of Pathway**（project_doc）：A guide about how to deploy Pathway using the cloud 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`docs/2.developers/4.user-guide/60.deployment/10.cloud-deployment.md`
- **Deploy to Google Cloud Platform using Cloud Run: a step-by-step guide.**（project_doc）：A guide about how to deploy Pathway to GCP using Google Cloud Run 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`docs/2.developers/4.user-guide/60.deployment/15.gcp-deploy.md`
- **Running Pathway Program in AWS Cloud with Fargate**（project_doc）：How to deploy Pathway in the cloud with AWS Fargate 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`docs/2.developers/4.user-guide/60.deployment/20.aws-fargate-deploy.md`
- **Deploying Pathway Programs on Azure Made Easy**（project_doc）：How to deploy Pathway in the cloud within Azure ecosystem 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`docs/2.developers/4.user-guide/60.deployment/25.azure-aci-deploy.md`
- **Deploy with Render: a Step-by-step Guide.**（project_doc）：A guide about how to deploy Pathway using the Render 激活提示：当用户需要理解项目结构、安装方式或边界时参考。 证据：`docs/2.developers/4.user-guide/60.deployment/30.render-deploy.md`

## 证据索引

- 共索引 80 条证据。

- **Pathway Live Data Framework**（documentation）：Getting Started Deployment Documentation and Support Blog License 证据：`README.md`
- **Pathway examples**（documentation）：This repository contains examples of data processing using Pathway https://pathway.com/developers/documentation/introduction/welcome , the Python-based programming framework for easy building of realtime and reactive data products. 证据：`examples/README.md`
- **AG2 Multi-Agent Conversations with Pathway Real-Time RAG**（documentation）：AG2 Multi-Agent Conversations with Pathway Real-Time RAG 证据：`examples/projects/ag2-multiagent-rag/README.md`
- **Azure ACI Deployment Example**（documentation）：This repository contains an example for the tutorial: "Running Pathway Program in Azure with Azure Container Instances" https://pathway.com/developers/user-guide/deployment/azure-aci-deploy . 证据：`examples/projects/azure-aci-deploy/README.md`
- **Best-rated movies examples**（documentation）：The purpose of this project is two-fold: 1. doing an end-to-end application with Pathway to compute the K-best-rated items in a movie dataset, 2. switching from Kafka to Redpanda 证据：`examples/projects/best-movies-example/README.md`
- **Best-rated movies example - Kafka version**（documentation）：Best-rated movies example - Kafka version 证据：`examples/projects/best-movies-example/kafka-version/README.md`
- **Best-rated movies example - Redpanda version**（documentation）：Best-rated movies example - Redpanda version 证据：`examples/projects/best-movies-example/redpanda-version/README.md`
- **Make your LLM app sane again: Forgetting incorrect data in real time**（documentation）：Make your LLM app sane again: Forgetting incorrect data in real time 证据：`examples/projects/conf42/README.md`
- **Custom python connector example**（documentation）：⚠️ Twitter has turned off its free tier streaming API. 证据：`examples/projects/custom-python-connector-twitter/README.md`
- **Tutorial: From interactive data exploration to deployment**（documentation）：Tutorial: From interactive data exploration to deployment 证据：`examples/projects/from_jupyter_to_deploy/README.md`
- **ETL with Kafka in/Kafka out**（documentation）：In this project, you build an ETL pipeline with Pathway with Kafka in and Kafka out. Two data sources broadcast date times with different time zones to different Kafka topics. Pathway connects to those topics, extracts E the data, transforms T the date times to timestamps, and loads L the data to a third Kafka topic. 证据：`examples/projects/kafka-ETL/README.md`
- **Benchmark for Delta Lake S3 messaging as a Kafka replacement**（documentation）：Benchmark for Delta Lake S3 messaging as a Kafka replacement 证据：`examples/projects/kafka-alternatives/benchmarks/README.md`
- **Pathway Monitoring using OpenTelemetry Collector and Grafana Cloud**（documentation）：Pathway Monitoring using OpenTelemetry Collector and Grafana Cloud 证据：`examples/projects/monitoring/README.md`
- **Computing Option Greeks with Pathway and Databento.**（documentation）：Computing Option Greeks with Pathway and Databento. 证据：`examples/projects/option-greeks/README.md`
- **Retrieval-Augmented Generation RAG Pipeline with Pathway**（documentation）：Retrieval-Augmented Generation RAG Pipeline with Pathway 证据：`examples/projects/question-answering-rag/README.md`
- **Realtime monitoring of logs**（documentation）：The purpose of this project is to do an end-to-end application with Pathway to monitors logs such as nginx logs . It connects Filebeat to Pathway via Kafka and send the alerts to a Slack channel. 证据：`examples/projects/realtime-log-monitoring/filebeat-pathway-slack/README.md`
- **Realtime monitoring of logs**（documentation）：The purpose of this project is to do an end-to-end application with Pathway to monitors logs such as nginx logs . It connects Filebeat/Logstash to Pathway via Kafka and send the alerts to ElasticSearch. 证据：`examples/projects/realtime-log-monitoring/logstash-pathway-elastic/README.md`
- **Sample Pathway program for SharePoint connection testing**（documentation）：Sample Pathway program for SharePoint connection testing 证据：`examples/projects/sharepoint-test/README.md`
- **Data Preparation for Spark Analytics**（documentation）：Data Preparation for Spark Analytics 证据：`examples/projects/spark-data-preparation/README.md`
- **Realtime Twitter Analysis App with Pathway**（documentation）：Realtime Twitter Analysis App with Pathway 证据：`examples/projects/twitter/README.md`
- **Web Scraping with Pathway**（documentation）：This project demonstrates how to create a real-time web scraper using Pathway, a powerful data processing framework. The implementation fetches and processes news articles from websites, making it possible to continuously monitor and analyze the web content. 证据：`examples/projects/web-scraping/README.md`
- **Pathway EL Pipeline**（documentation）：Pathway's EL pipeline allows you to move data from different data sources Extract to the sinks of your choice Load . By customizing a single YAML file, you can configure and run the pipeline without modifying any Python code. You can learn more about the pipeline in our article https://pathway.com/developers/templates/etl/el-pipeline/ . 证据：`examples/templates/el-pipeline/README.md`
- **Worst-case optimal joins and delta queries in differential dataflow**（documentation）：Worst-case optimal joins and delta queries in differential dataflow 证据：`external/differential-dataflow/dogsdogsdogs/README.md`
- **Graph Server**（documentation）：A differential dataflow server for continually changing graphs 证据：`external/differential-dataflow/server/README.md`
- **tpchlike: a TPCH-like evaluation of differential dataflow**（documentation）：tpchlike: a TPCH-like evaluation of differential dataflow 证据：`external/differential-dataflow/tpchlike/README.md`
- **Pathway RAG evals**（documentation）：Introduction This folder contains the automated continuous integration tests for RAG evaluations. 证据：`integration_tests/rag_evals/README.md`
- **Pathway LLM Extension Pack**（documentation）：This XPack contains Pathway pathway.com functions useful in building data processing pipelines involving LLM models: 1. pathway-compatible wrappers UDFs for popular AI and language modeling tasks, such as: - document parsing - text embedding - LLM API calls 2. ready-made document processing pipelines for popular tasks: - document indexing 证据：`python/pathway/xpacks/llm/README.md`
- **Contributing to Pathway**（documentation）：Welcome! This guide is intended to help developers that are new to the community to make contributions to the Pathway project. Please be sure to also read our code of conduct CODE OF CONDUCT.md . We work hard to make this a welcoming community for all, and we're excited to have you on board! 证据：`CONTRIBUTING.md`
- **Contributing to Pathway**（documentation）：Welcome! This guide is intended to help developers that are new to the community to make contributions to the Pathway project. Please be sure to also read our code of conduct CODE OF CONDUCT.md . We work hard to make this a welcoming community for all, and we're excited to have you on board! 证据：`examples/CONTRIBUTING.md`
- **Package**（package_manifest）：{ "name": "frontend", "version": "1.0.0", "description": "", "main": "index.js", "scripts": { "webpack-dev-server": "webpack-dev-server", "dev": "webpack-dev-server --mode=development", "prod": "webpack --mode=production" }, "keywords": , "author": "", "license": "ISC", "dependencies": { "@emotion/react": "^11.10.4", "@emotion/styled": "^11.10.4", "@mui/material": "^5.10.3", "@mui/x-data-grid": "^5.17.1", "@mui/x-date-pickers": "^5.0.0", "css-loader": "^6.7.1", "deck.gl": "^8.8.9", "file-loader": "^6.2.0", "lodash": "^4.17.21", "mapbox-gl": "^2.10.0", "moment": "^2.29.4", "moment-timezone": "^0.5.37", "react": "^18.2.0", "react-dom": "^18.2.0", "react-map-gl": "^7.0.19", "style-loader": "^3… 证据：`examples/projects/twitter/services/frontend/package.json`
- **License**（source_file）：Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files the "Software" , to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: 证据：`examples/LICENSE`
- **License**（source_file）：Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files the "Software" , to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: 证据：`python/pathway/third_party/airbyte_serverless/LICENSE`
- **.Changelog**（documentation）：--- title: Changelog description: 'This page references the Changelog of Pathway' toc: false --- 证据：`docs/2.developers/4.user-guide/.changelog.md`
- **Welcome to Pathway Developer Documentation!**（documentation）：Welcome to Pathway Developer Documentation! 证据：`docs/2.developers/4.user-guide/10.introduction/10.welcome.md`
- **Installation**（documentation）：To quickly get started with Pathway, you can install it via pip with the following command: 证据：`docs/2.developers/4.user-guide/10.introduction/20.installation.md`
- **Quick Overview of Pathway**（documentation）：Quick Overview of Pathway This page is a summary of what you need to know about to start programming with Pathway. If you want to learn more about the core concepts of Pathway, you can read the dedicated article /developers/user-guide/introduction/concepts . 证据：`docs/2.developers/4.user-guide/10.introduction/30.pathway-overview.md`
- **Pathway in Minutes: Quick ETL Examples**（documentation）：Pathway in Minutes: Quick ETL Examples 证据：`docs/2.developers/4.user-guide/10.introduction/40.first_realtime_app_with_pathway.md`
- **Core Concepts**（documentation）：Core Concepts A review of the core concepts behind data representation and data transformation in the programming layer of Pathway. 证据：`docs/2.developers/4.user-guide/10.introduction/50.concepts.md`
- **The Easiest Solution for Python Stream Processing, Data Indexing, and Real-Time AI Analytics.**（documentation）：The Easiest Solution for Python Stream Processing, Data Indexing, and Real-Time AI Analytics. 证据：`docs/2.developers/4.user-guide/10.introduction/60.why-pathway.md`
- **Pathway Framework Licensing Guide**（documentation）：Pathway offers a flexible licensing model designed to accommodate both community users and enterprise deployments. This guide explains the different licensing options, usage limitations, and key considerations for developers. 证据：`docs/2.developers/4.user-guide/10.introduction/65.licensing-guide.md`
- **Batch Processing in Python: Why Pathway Is Ideal for Both Streaming and Static Workloads**（documentation）：Batch Processing in Python: Why Pathway Is Ideal for Both Streaming and Static Workloads 证据：`docs/2.developers/4.user-guide/10.introduction/80.batch-processing.md`
- **Connectors**（documentation）：--- title: "Supported Data Sources" description: "Pathway supported data sources" navigation: false layout: default aside: true toc: false single: true redirect: "/developers/user-guide/connect/pathway-connectors" --- Connectors 证据：`docs/2.developers/4.user-guide/20.connect/10.supported-data-sources.md`
- **Connectors in Pathway**（documentation）：In order to use Pathway, one of the first things you need to do is to access the data you want to manipulate. In Pathway, accessing the data is done using connectors . 证据：`docs/2.developers/4.user-guide/20.connect/30.connectors-in-pathway.md`
- **Pathway connectors**（documentation）：Pathway has a long list of connectors for connecting to external data sources at input and connectors for outputting the data outside of Pathway. Since Pathway is a streaming-first framework, all connectors operate in streaming mode , automatically updating the results in real-time with every change. Explore the list below to find the connector you need. 证据：`docs/2.developers/4.user-guide/20.connect/35.pathway-connectors.md`
- **Data Types and Schemas**（documentation）：Data Types and Schemas In this guide, you will explore how to effectively utilize data types and schemas. 证据：`docs/2.developers/4.user-guide/20.connect/40.schema.md`
- **Artificial Data Streams with the demo Module**（documentation）：Artificial Data Streams with the demo Module With Pathway's demo /developers/api-docs/pathway-demo module, you can create custom data streams from scratch or by utilizing a CSV file. This feature empowers you to effectively test and debug your Pathway implementation using realtime data. 证据：`docs/2.developers/4.user-guide/20.connect/50.artificial-streams.md`
- **Switching from Batch to Streaming**（documentation）：Switching from Batch to Streaming Easily switching from batch to streaming is a core feature of Pathway. In this article, you will see how easy it is to change your static pipeline to make it run with streaming data. 证据：`docs/2.developers/4.user-guide/20.connect/80.switch-from-batch-to-streaming.md`
- **Making Your Python Web Scraping Go Live with Pathway**（documentation）：Making Your Python Web Scraping Go Live with Pathway 证据：`docs/2.developers/4.user-guide/20.connect/90.python-web-scraping.md`
- **Using CSV connectors**（documentation）：Using CSV connectors Pathway provides a pw.io.csv /developers/api-docs/pathway-io/csv module with connectors to read and write data streams using CSV files. 证据：`docs/2.developers/4.user-guide/20.connect/99.connectors/10.csv_connectors.md`
- **Sending alerts to Slack**（documentation）：This tutorial will guide you through connecting Pathway to Slack and sending alerts to a specific channel. 证据：`docs/2.developers/4.user-guide/20.connect/99.connectors/100.slack_send_alerts.md`
- **Airbyte connectors available in Pathway**（documentation）：Airbyte connectors available in Pathway 证据：`docs/2.developers/4.user-guide/20.connect/99.connectors/110.airbyte-connectors.md`
- **Using Pathway Debezium Connector for MongoDB**（documentation）：Using Pathway Debezium Connector for MongoDB Connect Pathway on top of your MongoDB/Debezium database using pw.io.debezium.read /developers/api-docs/pathway-io/debezium pathway.io.debezium.read and pw.io.mongodb.write /developers/api-docs/pathway-io/mongodb . 证据：`docs/2.developers/4.user-guide/20.connect/99.connectors/115.mongodb-debezium.md`
- **Using database connectors**（documentation）：Using database connectors Connect Pathway on top of your PostgreSQL/Debezium database using pw.io.debezium.read /developers/api-docs/pathway-io/debezium pathway.io.debezium.read and pw.io.postgres.write /developers/api-docs/pathway-io/postgres pathway.io.postgres.write . 证据：`docs/2.developers/4.user-guide/20.connect/99.connectors/20.database-connectors.md`
- **Creating a custom Python connector**（documentation）：In this tutorial, you will learn how to create a Python connector that will allow you to connect to your custom data source and feed data directly into Pathway. 证据：`docs/2.developers/4.user-guide/20.connect/99.connectors/30.custom-python-connectors.md`
- **Using Kafka connectors**（documentation）：Using Kafka connectors Pathway provides a pw.io.kafka /developers/api-docs/pathway-io/kafka module with connectors to read and send messages from a Kafka instance. 证据：`docs/2.developers/4.user-guide/20.connect/99.connectors/30.kafka_connectors.md`
- **Using NATS connectors**（documentation）：Using NATS connectors Pathway provides a pw.io.nats /developers/api-docs/pathway-io/nats module with connectors to read and send messages from a NATS instance. 证据：`docs/2.developers/4.user-guide/20.connect/99.connectors/33.nats-connectors.md`
- **Subscribing to changes with Python function**（documentation）：Subscribing to changes with Python function 证据：`docs/2.developers/4.user-guide/20.connect/99.connectors/35.python-output-connectors.md`
- **Google Drive connector**（documentation）：Google Drive connector This tutorial will guide you through connecting Pathway to your data stored on Google Drive. For detailed information about Google Drive connector, refer to the API documentation /developers/api-docs/pathway-io/gdrive . 证据：`docs/2.developers/4.user-guide/20.connect/99.connectors/70.gdrive-connector.md`
- **Switching from Kafka to Redpanda**（documentation）：Switching from Kafka to Redpanda Not a fan of the JVM and ZooKeeper? In this article, you will learn how to switch from Kafka to Redpanda and how to adapt your Pathway project to Redpanda. The change is easier than you might think: your Pathway code remains the same! 证据：`docs/2.developers/4.user-guide/20.connect/99.connectors/80.switching-to-redpanda.md`
- **Consuming WebSockets streams**（documentation）：In this tutorial, you will be guided through creating a custom WebSocket connector. It will allow you to interact with WebSocket data streams and process them as needed. 证据：`docs/2.developers/4.user-guide/20.connect/99.connectors/90.websockets-connectors.md`
- 其余 20 条证据见 `AI_CONTEXT_PACK.json` 或 `EVIDENCE_INDEX.json`。

## 宿主 AI 必须遵守的规则

- **把本资产当作开工前上下文，而不是运行环境。**：AI Context Pack 只包含证据化项目理解，不包含目标项目的可执行状态。 证据：`README.md`, `examples/README.md`, `examples/projects/ag2-multiagent-rag/README.md`
- **回答用户时区分可预览内容与必须安装后才能验证的内容。**：安装前体验的消费者价值来自降低误装和误判，而不是伪装成真实运行。 证据：`README.md`, `examples/README.md`, `examples/projects/ag2-multiagent-rag/README.md`

## 用户开工前应该回答的问题

- 你准备在哪个宿主 AI 或本地环境中使用它？
- 你只是想先体验工作流，还是准备真实安装？
- 你最在意的是安装成本、输出质量、还是和现有规则的冲突？

## 验收标准

- 所有能力声明都能回指到 evidence_refs 中的文件路径。
- AI_CONTEXT_PACK.md 没有把预览包装成真实运行。
- 用户能在 3 分钟内看懂适合谁、能做什么、如何开始和风险边界。

---

## Doramagic Context Augmentation

下面内容用于强化 Repomix/AI Context Pack 主体。Human Manual 只提供阅读骨架；踩坑日志会被转成宿主 AI 必须遵守的工作约束。

## Human Manual 骨架

使用规则：这里只是项目阅读路线和显著性信号，不是事实权威。具体事实仍必须回到 repo evidence / Claim Graph。

宿主 AI 硬性规则：
- 不得把页标题、章节顺序、摘要或 importance 当作项目事实证据。
- 解释 Human Manual 骨架时，必须明确说它只是阅读路线/显著性信号。
- 能力、安装、兼容性、运行状态和风险判断必须引用 repo evidence、source path 或 Claim Graph。

- **Pathway简介**：importance `high`
  - source_paths: README.md, pyproject.toml
- **安装指南**：importance `high`
  - source_paths: pyproject.toml, rust-toolchain.toml, docs/2.developers/4.user-guide/10.introduction/20.installation.md
- **基础示例**：importance `high`
  - source_paths: examples/notebooks/tutorials/installation_first_steps.ipynb, python/pathway/__init__.py
- **引擎架构**：importance `high`
  - source_paths: src/engine/mod.rs, src/engine/dataflow.rs, src/engine/graph.rs, external/differential-dataflow/src/lib.rs, external/timely-dataflow/timely/src/lib.rs
- **Python与Rust集成**：importance `medium`
  - source_paths: src/python_api.rs, python/pathway/_engine_finder.py, src/lib.rs
- **连接器概述**：importance `high`
  - source_paths: python/pathway/io/__init__.py, python/pathway/internals/datasource.py, python/pathway/internals/datasink.py, src/connectors/mod.rs
- **数据库连接器**：importance `high`
  - source_paths: python/pathway/io/postgres/__init__.py, python/pathway/io/mongodb/__init__.py, python/pathway/io/mysql/__init__.py, python/pathway/io/mssql/__init__.py, src/connectors/postgres.rs
- **流数据连接器**：importance `high`
  - source_paths: python/pathway/io/kafka/__init__.py, python/pathway/io/nats/__init__.py, python/pathway/io/mqtt/__init__.py, python/pathway/io/rabbitmq/__init__.py, python/pathway/io/redpanda/__init__.py

## Repo Inspection Evidence / 源码检查证据

- repo_clone_verified: true
- repo_inspection_verified: true
- repo_commit: `510c6daf92bd76e21b7279cee5f588b1b64e7b0f`
- inspected_files: `pyproject.toml`, `README.md`, `docs/2.developers/7.templates/30.configure-yaml.md`, `docs/2.developers/7.templates/35.custom-components.md`, `docs/2.developers/7.templates/20.run-a-template.md`, `docs/2.developers/7.templates/38.licensing-guide.md`, `docs/2.developers/7.templates/1.index.md`, `docs/2.developers/4.user-guide/.changelog.md`, `docs/2.developers/7.templates/rag/1008.template-demo-document-indexing.md`, `docs/2.developers/7.templates/rag/1000.demo-question-answering.md`, `docs/2.developers/7.templates/rag/1001.template-adaptive-rag.md`, `docs/2.developers/7.templates/rag/1010.template-slides-search.md`, `docs/2.developers/7.templates/rag/5.unstructured-to-structured.md`, `docs/2.developers/7.templates/rag/1009.drive-alert.md`, `docs/2.developers/7.templates/rag/1003.template-multimodal-rag.md`, `docs/2.developers/7.templates/rag/1002.template-private-rag.md`, `docs/2.developers/7.templates/rag/.navigation.yml`, `docs/2.developers/7.templates/40.rag-customization/20.custom-prompt.md`, `docs/2.developers/7.templates/40.rag-customization/10.REST-API.md`, `docs/2.developers/7.templates/40.rag-customization/40.splitters.md`

宿主 AI 硬性规则：
- 没有 repo_clone_verified=true 时，不得声称已经读过源码。
- 没有 repo_inspection_verified=true 时，不得把 README/docs/package 文件判断写成事实。
- 没有 quick_start_verified=true 时，不得声称 Quick Start 已跑通。

## Doramagic Pitfall Constraints / 踩坑约束

这些规则来自 Doramagic 发现、验证或编译过程中的项目专属坑点。宿主 AI 必须把它们当作工作约束，而不是普通说明文字。

### Constraint 1: 来源证据：[Bug]: TypeError: Cannot instantiate typing.Any

- Trigger: GitHub 社区证据显示该项目存在一个安装相关的待验证问题：[Bug]: TypeError: Cannot instantiate typing.Any
- Host AI rule: 来源问题仍为 open，Pack Agent 需要复核是否仍影响当前版本。
- Why it matters: 可能增加新用户试用和生产接入成本。
- Evidence: community_evidence:github | cevd_d63b2462b18449c4a2c02bb5e02a96c8 | https://github.com/pathwaycom/pathway/issues/227 | 来源讨论提到 python 相关条件，需在安装/试用前复核。
- Hard boundary: 不要把这个坑点包装成已解决、已验证或可忽略，除非后续验证证据明确证明它已经关闭。

### Constraint 2: 来源证据：Entra Authentication Support (credential handler and/or password callback)

- Trigger: GitHub 社区证据显示该项目存在一个安全/权限相关的待验证问题：Entra Authentication Support (credential handler and/or password callback)
- Host AI rule: 来源问题仍为 open，Pack Agent 需要复核是否仍影响当前版本。
- Why it matters: 可能影响授权、密钥配置或安全边界。
- Evidence: community_evidence:github | cevd_e7c65f4d8bce4b1a9c99accbf0457633 | https://github.com/pathwaycom/pathway/issues/230 | 来源讨论提到 python 相关条件，需在安装/试用前复核。
- Hard boundary: 不要把这个坑点包装成已解决、已验证或可忽略，除非后续验证证据明确证明它已经关闭。

### Constraint 3: 来源证据：Automated schema exploration in input connectors

- Trigger: GitHub 社区证据显示该项目存在一个安装相关的待验证问题：Automated schema exploration in input connectors
- Host AI rule: 来源问题仍为 open，Pack Agent 需要复核是否仍影响当前版本。
- Why it matters: 可能增加新用户试用和生产接入成本。
- Evidence: community_evidence:github | cevd_74b91feb391f4b0298216d2a48fe5abe | https://github.com/pathwaycom/pathway/issues/224 | 来源类型 github_issue 暴露的待验证使用条件。
- Hard boundary: 不要把这个坑点包装成已解决、已验证或可忽略，除非后续验证证据明确证明它已经关闭。

### Constraint 4: 来源证据：Cannot Process Windowed Sessions from Kafka - Crash with "key missing in output table" on streaming retractions

- Trigger: GitHub 社区证据显示该项目存在一个安装相关的待验证问题：Cannot Process Windowed Sessions from Kafka - Crash with "key missing in output table" on streaming retractions
- Host AI rule: 来源问题仍为 open，Pack Agent 需要复核是否仍影响当前版本。
- Why it matters: 可能阻塞安装或首次运行。
- Evidence: community_evidence:github | cevd_ab5d2b2076034999bfaed612a3d95d60 | https://github.com/pathwaycom/pathway/issues/232 | 来源讨论提到 python 相关条件，需在安装/试用前复核。
- Hard boundary: 不要把这个坑点包装成已解决、已验证或可忽略，除非后续验证证据明确证明它已经关闭。

### Constraint 5: 来源证据：Improve watermarks in POSIX-like objects tracker

- Trigger: GitHub 社区证据显示该项目存在一个安装相关的待验证问题：Improve watermarks in POSIX-like objects tracker
- Host AI rule: 来源问题仍为 open，Pack Agent 需要复核是否仍影响当前版本。
- Why it matters: 可能阻塞安装或首次运行。
- Evidence: community_evidence:github | cevd_38f29b1fba3b41cc99b1364d15ef7213 | https://github.com/pathwaycom/pathway/issues/225 | 来源讨论提到 node 相关条件，需在安装/试用前复核。
- Hard boundary: 不要把这个坑点包装成已解决、已验证或可忽略，除非后续验证证据明确证明它已经关闭。

### Constraint 6: 来源证据：Persistence in `iterate` operator

- Trigger: GitHub 社区证据显示该项目存在一个安装相关的待验证问题：Persistence in `iterate` operator
- Host AI rule: 来源显示可能已有修复、规避或版本变化，说明书中必须标注适用版本。
- Why it matters: 可能增加新用户试用和生产接入成本。
- Evidence: community_evidence:github | cevd_e642d639ebbc4382b242028ef89ec236 | https://github.com/pathwaycom/pathway/issues/214 | 来源类型 github_issue 暴露的待验证使用条件。
- Hard boundary: 不要把这个坑点包装成已解决、已验证或可忽略，除非后续验证证据明确证明它已经关闭。

### Constraint 7: 来源证据：Support LEANN for RAG pipelines

- Trigger: GitHub 社区证据显示该项目存在一个安装相关的待验证问题：Support LEANN for RAG pipelines
- Host AI rule: 来源显示可能已有修复、规避或版本变化，说明书中必须标注适用版本。
- Why it matters: 可能增加新用户试用和生产接入成本。
- Evidence: community_evidence:github | cevd_5d99dd1cfc794b299633b6c5dc9dd33b | https://github.com/pathwaycom/pathway/issues/173 | 来源讨论提到 python 相关条件，需在安装/试用前复核。
- Hard boundary: 不要把这个坑点包装成已解决、已验证或可忽略，除非后续验证证据明确证明它已经关闭。

### Constraint 8: 来源证据：Support MongoDB Atlas in pw.io.mongodb

- Trigger: GitHub 社区证据显示该项目存在一个安装相关的待验证问题：Support MongoDB Atlas in pw.io.mongodb
- Host AI rule: 来源问题仍为 open，Pack Agent 需要复核是否仍影响当前版本。
- Why it matters: 可能增加新用户试用和生产接入成本。
- Evidence: community_evidence:github | cevd_fa1d6e2e977a45d99c414724681f0f32 | https://github.com/pathwaycom/pathway/issues/221 | 来源类型 github_issue 暴露的待验证使用条件。
- Hard boundary: 不要把这个坑点包装成已解决、已验证或可忽略，除非后续验证证据明确证明它已经关闭。

### Constraint 9: 来源证据：feat: Add Microsoft SQL Server (MSSQL) connector

- Trigger: GitHub 社区证据显示该项目存在一个安装相关的待验证问题：feat: Add Microsoft SQL Server (MSSQL) connector
- Host AI rule: 来源显示可能已有修复、规避或版本变化，说明书中必须标注适用版本。
- Why it matters: 可能影响升级、迁移或版本选择。
- Evidence: community_evidence:github | cevd_370bcc864a314734b602f01d3d444ef9 | https://github.com/pathwaycom/pathway/issues/204 | 来源讨论提到 python 相关条件，需在安装/试用前复核。
- Hard boundary: 不要把这个坑点包装成已解决、已验证或可忽略，除非后续验证证据明确证明它已经关闭。

### Constraint 10: 来源证据：v0.27.0

- Trigger: GitHub 社区证据显示该项目存在一个安装相关的待验证问题：v0.27.0
- Host AI rule: 来源显示可能已有修复、规避或版本变化，说明书中必须标注适用版本。
- Why it matters: 可能影响升级、迁移或版本选择。
- Evidence: community_evidence:github | cevd_8d6905d8719c488cbcbb821e794add26 | https://github.com/pathwaycom/pathway/releases/tag/v0.27.0 | 来源讨论提到 python 相关条件，需在安装/试用前复核。
- Hard boundary: 不要把这个坑点包装成已解决、已验证或可忽略，除非后续验证证据明确证明它已经关闭。