aw-watcher-agent

!!!本项目是纯粹的vibe coding产物，我尽可能确保其可用性和正确性，但是不对此有任何保障。!!!

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Overview

ActivityWatch watcher for code-agent sessions. It records high-level AI coding session activity from code agent into ActivityWatch without storing prompt text or tool-call details.

概览

aw-watcher-agent 是一个面向 code agent 会话的 ActivityWatch watcher。它可以把 code agent 中的 AI 编码会话记录到 ActivityWatch，但不会保存 prompt 文本、assistant 回复文本或工具调用详情。

What it records

aw-watcher-agent tracks session-level metadata only:

• code agent name (pi)
• project directory/name
• session duration via ActivityWatch heartbeats
• current/final model
• total token usage and cost
• per-model token/cost breakdown for sessions that use multiple models

It does not record:

• prompt text
• assistant response text
• tool-call arguments/results
• file contents

记录哪些数据

aw-watcher-agent 只记录会话级元数据：

• code agent 名称，例如 pi
• 项目目录/项目名
• 通过 ActivityWatch heartbeat 记录的 session 时长
• 当前/最终使用的模型
• 总 token 用量和费用
• 多模型 session 中按模型拆分的 token/cost 明细

它不会记录：

• prompt 文本
• assistant 回复文本
• 工具调用参数/结果
• 文件内容

Components

This repository ships two parts:

1. Rust daemon (aw-watcher-agent)

   • Receives HTTP session events from code-agent integrations.
   • Writes ActivityWatch heartbeat events to the bucket aw-watcher-agent_<hostname>.

2. pi extension (.pi/extensions/aw-watcher.ts)

   • Hooks into pi session/model/agent lifecycle events.
   • Sends session start/update/heartbeat/end events to the daemon.

组件

本仓库包含两部分：

1. Rust daemon (aw-watcher-agent)

   • 接收来自 code agent 集成的 HTTP session 事件。
   • 将 ActivityWatch heartbeat 写入 aw-watcher-agent_<hostname> bucket。

2. pi 扩展 (.pi/extensions/aw-watcher.ts)

   • 监听 pi 的 session/model/agent 生命周期事件。
   • 向 daemon 发送 session start/update/heartbeat/end 事件。

ActivityWatch data model

The daemon writes to an ActivityWatch bucket with type:

app.editor.activity

The final completed event contains top-level aggregate fields:

{
  "status": "completed",
  "session_id": "pi-72aa7acf",
  "code_agent": "pi",
  "project": "aw-watcher-agent",
  "project_dir": "/path/to/aw-watcher-agent",
  "model": "deepseek-v4-pro",
  "tokens_input": 24364,
  "tokens_output": 95,
  "tokens_cache_read": 5120,
  "tokens_cache_write": 0,
  "tokens_total": 29579,
  "cost_total": 0.02621523,
  "cost_currency": "USD"
}

For multi-model sessions, the final event also contains model_usage:

{
  "model_usage": {
    "deepseek-v4-flash": {
      "tokens_input": 8050,
      "tokens_output": 39,
      "tokens_cache_read": 2560,
      "tokens_cache_write": 0,
      "tokens_total": 10649,
      "cost": 0.0012096
    },
    "deepseek-v4-pro": {
      "tokens_input": 8073,
      "tokens_output": 42,
      "tokens_cache_read": 2560,
      "tokens_cache_write": 0,
      "tokens_total": 10675,
      "cost": 0.01456438
    }
  }
}

model_usage values sum to the top-level token/cost totals.

ActivityWatch 数据模型

daemon 写入的 ActivityWatch bucket 类型为：

app.editor.activity

最终的 completed event 会包含顶层汇总字段，例如：

{
  "status": "completed",
  "session_id": "pi-72aa7acf",
  "code_agent": "pi",
  "project": "aw-watcher-agent",
  "project_dir": "/path/to/aw-watcher-agent",
  "model": "deepseek-v4-pro",
  "tokens_input": 24364,
  "tokens_output": 95,
  "tokens_cache_read": 5120,
  "tokens_cache_write": 0,
  "tokens_total": 29579,
  "cost_total": 0.02621523,
  "cost_currency": "USD"
}

如果一个 session 使用了多个模型，final event 还会包含 model_usage：

{
  "model_usage": {
    "deepseek-v4-flash": {
      "tokens_input": 8050,
      "tokens_output": 39,
      "tokens_cache_read": 2560,
      "tokens_cache_write": 0,
      "tokens_total": 10649,
      "cost": 0.0012096
    },
    "deepseek-v4-pro": {
      "tokens_input": 8073,
      "tokens_output": 42,
      "tokens_cache_read": 2560,
      "tokens_cache_write": 0,
      "tokens_total": 10675,
      "cost": 0.01456438
    }
  }
}

model_usage 中各模型的 token/cost 之和会等于顶层汇总值。

Installation

Rust daemon

Download the binary from GitHub Releases, or build from source:

cargo build --release

Then place the binary on your PATH:

install -Dm755 target/release/aw-watcher-agent ~/.local/bin/aw-watcher-agent

pi extension

The npm package contains only the pi extension and package metadata.

pi install @wind_mask/aw-watcher-agent-pi

Alternatively, load the extension file directly while developing:

pi --extension .pi/extensions/aw-watcher.ts

安装

Rust daemon

可以从 GitHub Releases 下载二进制文件，也可以从源码构建：

cargo build --release

然后将二进制放入 PATH：

install -Dm755 target/release/aw-watcher-agent ~/.local/bin/aw-watcher-agent

pi 扩展

npm 包只包含 pi 扩展和 package 元数据。

pi install @wind_mask/aw-watcher-agent-pi

开发时也可以直接加载扩展文件：

pi --extension .pi/extensions/aw-watcher.ts

Usage

Start ActivityWatch first, then run the daemon:

aw-watcher-agent daemon

By default, the daemon:

• connects to ActivityWatch at localhost:5600
• listens for pi extension events on 127.0.0.1:5667

Check daemon status:

aw-watcher-agent status

Remove the ActivityWatch bucket created by this watcher:

aw-watcher-agent teardown

Environment variables

The pi extension sends events to:

http://127.0.0.1:5667

Override it with:

export AW_WATCHER_DAEMON_URL=http://127.0.0.1:5667

Agent heartbeat interval while pi is generating a response defaults to 15 seconds. The minimum effective value is 5 seconds:

export AW_WATCHER_AGENT_HEARTBEAT_INTERVAL_MS=15000

The daemon connects to ActivityWatch using CLI options:

aw-watcher-agent --host localhost --port 5600 daemon

使用

先启动 ActivityWatch，然后运行 daemon：

aw-watcher-agent daemon

默认情况下，daemon 会：

• 连接到 localhost:5600 上的 ActivityWatch
• 在 127.0.0.1:5667 监听 pi 扩展事件

检查 daemon 状态：

aw-watcher-agent status

删除本 watcher 创建的 ActivityWatch bucket：

aw-watcher-agent teardown

环境变量

pi 扩展默认将事件发送到：

http://127.0.0.1:5667

可以通过环境变量覆盖：

export AW_WATCHER_DAEMON_URL=http://127.0.0.1:5667

agent 生成回复期间的 heartbeat 间隔默认为 15 秒；有效最小值为 5 秒：

export AW_WATCHER_AGENT_HEARTBEAT_INTERVAL_MS=15000

daemon 连接 ActivityWatch 的地址通过 CLI 选项配置：

aw-watcher-agent --host localhost --port 5600 daemon

Resume behavior

When a pi session is resumed, the extension records only usage produced after the resume point. Existing historical messages in the resumed session file are not counted again.

Resume 行为

当 pi session 被 resume 时，扩展只记录 resume 之后新增的用量。resume 前已经存在于 session 文件中的历史消息不会被重复计入。

License

MIT

许可证

MIT