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⚠️ 免责声明: 此项目是开源的，旨在解决对某些用户至关重要的问题，所提供的功能可能不是 GitHub Copilot 原生提供的。因此，此项目中表达的内容、意见和观点纯属个人意见，不一定反映我雇主的观点。这些是我基于对代码的理解和 GitHub Copilot 试验部署的个人笔记。如果本文有任何错误，请通过 issues 告知我。感谢您帮助纠正我的理解。
⚠️ 风险警告: 此项目提供了 Copilot 原始指标没有的个人维度指标，这可能会对开发者造成潜在的压力和心理负担。请谨慎使用，仅用于研究目的，不要用于绩效评估或其他可能对开发者造成伤害的目的。
| 版本 | 更新说明 | 日期 |
|---|---|---|
| 1.0 | 添加记录 Copilot 的补全和遥测功能。 | 20241208 |
| 1.1 | - 默认情况下不保存遥测日志。 - 添加了对补全中请求和响应内容字段的解析 |
20241225 |
| 1.1 | 功能：读取代理认证信息，根据包含"copilot-codex/completions"或"chat/completions"的URL将日志保存到相应的子目录，否则跳过记录。 | 20241226 |
| 1.2 | 功能：增强 proxy_addons.py 以跟踪使用指标并保存到单独的文件；重构日志路径并更新指标处理 |
20241228 |
| 1.3 | - 功能：添加对无意义请求的过滤，确保只计算有价值的数据 - 功能：添加认证 |
20241229 |
| 1.4 | 修复了基本认证的验证逻辑错误；调整了代理服务器端日志格式并添加了表情符号🙂，使日志非常清晰 | 20241230 |
| 1.5 | 添加从JSON文件加载和保存用户名的功能，为了避免有时请求不携带Authorization导致请求被丢弃的问题 | 20250108 |
| 1.6 | 在日志和指标中添加了不同的事件类型，包括 nes、agent、edits、chat-inline、chat-panel。 |
20250224 |
| 1.7 | 1. 在指标中添加了模型跟踪 - 现在记录每个编辑器版本中使用的AI模型，以便进行更详细的分析。 2. 使用 Grafana 和 Elasticsearch 进行可视化。 3. 部署指南 |
20250312 |
| 1.8 | 1. 添加对内联聊天事件类型分段的支持：fix/explain/docs/tests。添加了对新指标的跟踪并实现了相应的日志更新。2. Copilot MCP 兼容指标 |
20250314 |
| 1.9 | 1. 添加对遥测数据收集和可视化的支持，包含接受/显示行数数据 | 20250908 |
根据官方 Copilot 文档 REST API endpoints for Copilot metrics - GitHub Enterprise Cloud Docs：
只有当团队在该天结束时有五个或更多活跃 Copilot 许可证成员时，此端点才会返回给定日期的结果。
因此，如果您想查看 Copilot 的使用情况，最小粒度是团队，并且是至少有5个成员的团队。如果这对您来说没问题，只需按照 Copilot Usage Advanced Dashboard 来可视化它。
但是，如果您是启用了 GitHub Copilot 的企业/组织/团队的管理员，并且您想了解每个用户、模型、聊天类型和扩展的使用详情，请尝试这个项目。这就是构建它的原因。
- 一个代理插件，用于捕获和记录您的IDE与GitHub Copilot API之间的HTTP请求和响应。
- 保存每个用户的使用详情数据，并生成用户维度的指标。
- 允许用户的白名单，支持基本认证
- 支持多种IDE，包括 JetBrains 和 VSCode
- 使用 Grafana 和 Elasticsearch 可视化每个用户、模型、聊天类型和扩展的指标
- 链接：copilot-metrics-for-everyuser
- 用户名：
demouser - 密码：
demouser
- 这些是 Copilot 阻止的一般准则：
- 不要在网络上更改任何 GitHub Copilot HTTP 头部
- 不要共享 GitHub 账户和 GitHub Copilot 访问权限
- GitHub 个人账户不能共享，GitHub 可以阻止这些共享账户。
- GitHub Copilot 访问权限不能在多个用户之间共享。
- 保持单一的 GitHub Copilot 访问网络出站，这样一个用户就不会同时从不同位置访问 GitHub Copilot
- 不要使用程序生成 Copilot 令牌，令牌需要从官方 GitHub Copilot IDE 扩展请求
- GitHub 不推荐客户使用不属于 GitHub 产品的解决方案，在互联网代理的情况下，GitHub 官方支持不会支持代理问题或建议使用哪个代理。
-
代理流量。用于网络隔离的开发环境。
-
提示记录。捕获HTTP请求和响应并将详细信息记录到文件中，这将让您确切地知道 Copilot 发送的代码片段（提示）是什么。
- 每个用户的 Copilot 指标。支持基本认证，这允许您获取用户维度的数据，比团队维度更深入。
- 可视化（可选） 使用 Grafana 和 Elasticsearch 对每个用户、模型、聊天类型和扩展的指标进行可视化（所有黄色服务可以部署在同一台机器上，
mfe2es是 Metrics For Everyuser To ElasticSearch 的缩写）。
- 准备一个中介服务器，IP地址为
a.b.c.d（以下图表和文档都使用127.0.0.1作为示例。请将其替换为您的实际IP地址）。 - 按照文档 安装 mitmproxy。如果您在Windows上使用pip安装mitmproxy，需要将exe路径添加到环境变量中。
- 在
proxy_addons.py中有一些关键参数需要配置，mitmproxy 会在脚本修改后自动重新加载。# 条件判断，建议设置为True，这将对所有请求执行规则检查，确保聊天和补全的数量不会被重复计算。 conditional_judgment = True # False True # 如果您想使用高级功能，请将此设置为True。这要求用户必须配置基本认证 is_proxy_auth_needed = True # False True # 这个值非常敏感，请将其更改为只有您知道的值。这是用于计算密码的关键参数。 random_seed = 123456 # 限制只有这些用户可以访问 # 您允许通过此代理使用 Copilot 的所有用户都可以自定义，它们不需要与用于登录 Copilot 的用户名相同。 # 此插件将自动生成密码并将其保存在 logs/user_auth.json 中。作为管理员，请保护此文件并告知每个用户他们生成的密码。 allowed_usernames = [ "satomic", "xuefeng", ]
- 在控制台中运行命令
mitmdump --listen-host 0.0.0.0 --listen-port 8080 --set block_global=false -s proxy_addons.py
- 自动生成的
auditlogs/user_auth.json内容如下{ "satomic": "961aa8753b", "xuefeng": "1b3ecfa5aa" } - 告诉这些用户他们的用户名和密码
- 在开始本节之前，强烈建议您首先阅读 Copilot Usage Advanced Dashboard Special Notes。并强烈建议您首先部署 Copilot Usage Advanced Dashboard，然后部署此项目。然后您可以重用相同的 Docker、Elasticsearch 和 Grafana，无需重新部署它们。您的架构将如下所示：
- 如果您不想部署 Copilot Usage Advanced Dashboard，您也可以按照指南部署 Docker、Elasticsearch 和 Grafana，然后部署此项目。唯一的区别是您需要单独部署
mfe2es容器，mfe2es容器将用于将指标数据发送到 Elasticsearch。
将所有工作放在 /srv 目录中，点击 下载zip压缩包，解压并将文件夹重命名为 copilot-metrics-4-every-user，或直接 git clone
cd /srv
git clone https://github.com/satomic/copilot-metrics-4-every-user.git
cd copilot-metrics-4-every-user确保您有 Elasticsearch 运行并可访问。请参考前面的步骤 这里。
- 确认您在正确的路径中
cd /srv/copilot-metrics-4-every-user - 执行脚本并创建索引
获得以下内容，表示ok
bash create_es_indexes.sh
{"acknowledged":true,"shards_acknowledged":true,"index":"copilot_completions"} {"acknowledged":true,"shards_acknowledged":true,"index":"copilot_chat"} {"acknowledged":true,"shards_acknowledged":true,"index":"copilot_extension"} - 验证
获得以下内容，表示ok
curl -X GET http://localhost:9200/_cat/indices?vhealth status index uuid pri rep docs.count docs.deleted store.size pri.store.size dataset.size yellow open copilot_completions XrOEfAngTS60VsuUz3Lbrw 1 1 0 0 227b 227b 227b yellow open copilot_chat xE6tkg5GQEOP-EP8pwAkYg 1 1 0 0 227b 227b 227b yellow open copilot_extension 6R_1cdlIQQOCv4BoHPqXCw 1 1 0 0 227b 227b 227b
确保您有 Grafana 运行并可访问。请参考前面的步骤 这里。
- 确认您在正确的路径中
cd /srv/copilot-metrics-4-every-user - 运行脚本添加数据源
bash add_grafana_data_sources.sh
- 访问 Grafana UI 确认添加成功
- 确认您在正确的路径中
cd /srv/copilot-metrics-4-every-user - 执行脚本生成 Grafana json 模型。执行以下两个命令之一
获得输出
# 生成每个用户的Copilot指标仪表板 python3 gen_grafana_model.py --template=grafana/dashboard-template.json
Model saved to grafana/dashboard-model-2024-12-17.json, please import it to Grafana
- 将生成的文件下载到本地计算机
scp root@<PUBLIC_IP_OF_YOUR_VM>:/srv/copilot-metrics-4-every-user/grafana/dashboard-model-*.json . dashboard-model-2024-12-17.json 100% 157KB 243.8KB/s 00:00 dashboard-model-data_sources_name_uid_mapping-2024-12-17.json 100% 210 1.1KB/s 00:00
- 复制生成的json文件并将其导入到Grafana中
- 恭喜，您现在有了一个完整的仪表板，但应该还没有数据。接下来，运行核心程序。
是 Metrics For Everyuser To ElasticSearch 首字母的缩写
参数说明
LOG_PATH: 日志存储位置，不建议修改。如果修改，需要同时修改-v数据卷映射。EXECUTION_INTERVAL: 更新间隔，默认是每1分钟更新一次程序。
docker run -itd \
--net=host \
--restart=always \
--name mfe2es \
-e LOG_PATH="logs" \
-e EXECUTION_INTERVAL=1 \
-e ELASTICSEARCH_URL="http://localhost:9200" \
-v /srv/auditlogs:/app/auditlogs \
satomic/copilot-metrics-4-everyuser恭喜！现在您可以访问 Grafana UI 并在仪表板中看到数据。数据将每分钟更新一次，您也可以在 docker run 命令中设置更新间隔。
- 现在您可以在IDE中设置代理（这里以VSCode为例，如果您使用JetBrains，设置代理后需要重启JetBrains IDE），IP地址以
127.0.0.1为例，请将其更改为您的实际IP地址。-
对于普通功能，设置代理如：
http://127.0.0.1:8080，仅当管理员在服务器端设置is_proxy_auth_needed = False时。
-
对于高级功能，设置代理如：
http://your_username:your_passoword@127.0.0.1:8080（用户名是satomic，密码是961aa8753b作为示例）。
或在
settings.json中"http.proxy": "http://satomic:961aa8753b@127.0.0.1:8080"
-
- 但是，此时IDE会提示证书错误，因此需要 安装证书。证书下载需要访问 mitm.it，正常访问的前提是mitmproxy正常工作。因此，在启用代理之前，只有通过代理的请求才会返回正常的网页。
- 如果您遇到TLS错误，请访问 Configuring network settings for GitHub Copilot 获取帮助或在 这里 提出问题。
- 现在您可以使用Copilot生成代码，请求和响应将保存在
auditlogs文件夹中。metrics文件夹存储每日使用指标统计。usage文件夹是一个以用户名为子目录，分别记录chat和completions的详细数据。
[10:13:13.823] ====================================================================================================
[10:13:13.824] ✅ http_connect flow.request.url: proxy.enterprise.githubcopilot.com:443
[10:13:13.824] ✅ Obtained Proxy-Authorization, username: xuefeng
[10:13:13.881][127.0.0.1:57302] server connect proxy.enterprise.githubcopilot.com:443 (52.175.140.176:443)
127.0.0.1:57302: POST https://proxy.enterprise.githubcopilot.com/v1/engines/copilot-codex/completions HTTP/2.0
<< HTTP/2.0 200 OK 5.3k
[10:13:14.186] ✅🤖🚗 Processing completions response: https://proxy.enterprise.githubcopilot.com/v1/engines/copilot-codex/completions
[10:13:14.192] 😄 Log saved logs\usage\xuefeng\completions/2024-12-30T02-13-14.189603_4ce93ec3b2_127.0.0.1_JetBrains-PC-243.22562.220.json
[10:13:14.196] 😆 Metrics saved logs\metrics\copilot-usage_2024-12-30.json
[10:13:15.363][127.0.0.1:57302] client disconnect
[10:13:15.364][127.0.0.1:57302] server disconnect proxy.enterprise.githubcopilot.com:443 (52.175.140.176:443)
[10:13:15.371][127.0.0.1:57306] client connect
[10:13:30.482] ====================================================================================================
[10:13:30.482] ✅ http_connect flow.request.url: api.enterprise.githubcopilot.com:443
[10:13:30.483] ✅ Obtained Proxy-Authorization, username: xuefeng
[10:13:30.487][127.0.0.1:57319] server connect api.enterprise.githubcopilot.com:443 (140.82.113.22:443)
[10:13:30.638][127.0.0.1:56773] server disconnect telemetry.enterprise.githubcopilot.com:443 (140.82.113.21:443)
[10:13:31.139][127.0.0.1:57317] Client TLS handshake failed. The client disconnected during the handshake. If this happens consistently for telemetry.enterprise.githubcopilot.com, this may indicate that the client does not trust the proxy's certificate.
[10:13:31.143][127.0.0.1:57317] client disconnect
[10:13:31.146][127.0.0.1:57317] server disconnect telemetry.enterprise.githubcopilot.com:443 (140.82.113.22:443)
[10:13:31.224][127.0.0.1:57319] Client TLS handshake failed. The client disconnected during the handshake. If this happens consistently for api.enterprise.githubcopilot.com, this may indicate that the client does not trust the proxy's certificate.
[10:13:31.228][127.0.0.1:57319] client disconnect
[10:13:31.229][127.0.0.1:57319] server disconnect api.enterprise.githubcopilot.com:443 (140.82.113.22:443)
127.0.0.1:57306: POST https://telemetry.enterprise.githubcopilot.com/telemetry HTTP/2.0
<< HTTP/2.0 200 OK 62b
127.0.0.1:57241: POST https://api.enterprise.githubcopilot.com/chat/completions HTTP/2.0
<< HTTP/2.0 200 OK 7.6k
[10:13:32.198] ✅💬👄 Processing chat response: https://api.enterprise.githubcopilot.com/chat/completions
[10:13:32.205] 😄 Log saved logs\usage\xuefeng\chat/2024-12-30T02-13-32.203524_4ce93ec3b2_127.0.0.1_JetBrains-PC-243.22562.220.json
[10:13:32.208] 😆 Metrics saved logs\metrics\copilot-usage_2024-12-30.json
[10:13:32.223][127.0.0.1:57325] client connect
[10:13:32.225] ====================================================================================================
[10:13:32.225] ✅ http_connect flow.request.url: api.enterprise.githubcopilot.com:443
[10:13:32.225] ✅ Obtained Proxy-Authorization, username: xuefeng
[10:13:32.231][127.0.0.1:57325] server connect api.enterprise.githubcopilot.com:443 (140.82.113.22:443)
[10:13:32.974][127.0.0.1:57325] Client TLS handshake failed. The client disconnected during the handshake. If this happens consistently for api.enterprise.githubcopilot.com, this may indicate that the client does not trust the proxy's certificate.
[10:13:32.977][127.0.0.1:57325] client disconnect
[10:13:32.979][127.0.0.1:57325] server disconnect api.enterprise.githubcopilot.com:443 (140.82.113.22:443)
127.0.0.1:57241: POST https://api.enterprise.githubcopilot.com/chat/completions HTTP/2.0
<< HTTP/2.0 200 OK 6.7k
[10:13:33.671] ✅💬👄 Processing chat response: https://api.enterprise.githubcopilot.com/chat/completions
[10:13:33.679] ⚠️ Skipping invalid chat response, cuz last_role_in_messages is not type of `user`: system
[10:13:34.328][127.0.0.1:57327] client connect
在指标中现在可以看到不同的事件类型，包括 nes、agent、edits、chat-inline、chat-panel 等。此外，现在按模型类型跟踪统计，记录每个编辑器版本中使用不同AI模型的次数。
以下是指标JSON文件结构的详细说明：
{
"day": "2025-03-11", // 当前日期
"total_chat_turns": 162, // 当天所有用户的总聊天轮次
"total_completions_count": 0, // 当天所有用户的总代码补全次数
"usage": { // 按用户分组的使用数据
"satomic": { // 用户名
"chat_turns": 162, // 此用户的总聊天轮次
"chat": { // 聊天相关数据，按操作类型分组
"chat-panel": { // 聊天面板交互
"chat_turns": 31, // 此操作类型的聊天轮次数
"editor_version": { // 按编辑器版本分组
"vscode-1.98.0-insider": { // 编辑器版本
"count": 31, // 此编辑器版本的使用次数
"models": { // 按模型分组的统计
"claude-3.7-sonnet-thought": 15, // 模型名称和使用次数
"gpt-4o": 16 // 模型名称和使用次数
}
}
}
},
"nes": {
"chat_turns": 101,
"editor_version": {
"simulation-tests-editor-1.85": {
"count": 101,
"models": {
"copilot-nes-v": 101
}
}
}
}
// 其他操作类型...
},
"completions_count": 14,
"completions": {
"vscode-1.98.1": {
"count": 14,
"models": {
"gpt-4o-copilot": {
"count": 14,
"languages": {
"python": 14
}
}
}
}
},
"extension_count": 4,
"extension": {
"roulette-play": {
"count": 1,
"editor_version": {
"vscode-1.99.0-insider": {
"count": 2,
"models": {
"gpt-4o": 2
}
}
}
},
"cute-cat-assistant": {
"count": 2,
"editor_version": {
"vscode-1.98.1": {
"count": 2,
"models": {
"gpt-4o": 1,
"gemini-2.0-flash-001": 1
}
}
}
}
}
}
}
}这种结构允许您跨多个维度分析数据：
- 按用户进行使用分析
- 区分聊天功能和代码补全功能
- 按操作类型分组（聊天面板、内联聊天、编辑等）
- 按编辑器版本分析
- 按AI模型类型分析
- 对于代码补全功能，按编程语言分析
这种多维度的统计数据可以帮助您深入了解每个团队成员的Copilot使用模式。
支持记录不同类型的聊天，包括 nes、agent、edits...
├─auditlogs
│ ├─metrics
│ └─usage
│ ├─anonymous
│ │ ├─chat-panel
│ │ └─completions
│ ├─rin
│ │ ├─chat-panel
│ │ └─completions
│ ├─satomic
│ │ ├─chat-inline
│ │ ├─chat-panel
│ │ ├─completions
│ │ ├─edits
│ │ ├─nes
│ │ └─other
│ └─xuefeng
│ ├─chat-inline
│ ├─chat-panel
│ └─completions
{
"proxy-authorization": "satomic:123",
"timestamp": "2024-12-28T14:50:18.214725",
"proxy-time-consumed": "188.35ms",
"request": {
"url": "https://proxy.enterprise.githubcopilot.com/v1/engines/copilot-codex/completions",
"method": "POST",
"headers": {
"authorization": "Bearer tid=5e1e32dca6b1cccb036ab1bd2d7d444d;ol=ea9395b9a9248c05ee6847cbd24355ed,fa25d2808d3f1461923caba5bbaa7673,679c1c3c27523244c3c3ad04ef88d2f0;exp=1735398336;sku=copilot_enterprise_seat;proxy-ep=proxy.enterprise.githubcopilot.com;st=dotcom;ssc=1;chat=1;cit=1;malfil=1;ccr=1;8kp=1;ip=156.59.13.4;asn=AS21859:f9c792ae49b6494b595fc62854ed0a10a78e624d849112f33114fefde749863b",
"x-request-id": "2e177ccd-029e-46f1-bf59-3d366bdb5e55",
"openai-organization": "github-copilot",
"vscode-sessionid": "d680c0d9-d9ef-43b5-a272-86ad27f0b04e1735381508063",
"vscode-machineid": "4ce93ec3b250003c9580aba5d1a71685fe7df281ac090fa58018e5b6a3017bf9",
"x-github-api-version": "2024-12-15",
"editor-version": "vscode/1.96.2",
"editor-plugin-version": "copilot/1.254.0",
"copilot-language-server-version": "1.254.0",
"annotations-enabled": "true",
"code-quote-enabled": "true",
"openai-intent": "copilot-ghost",
"content-type": "application/json",
"user-agent": "GithubCopilot/1.254.0",
"content-length": "306",
"accept": "*/*",
"accept-encoding": "gzip,deflate,br"
},
"content": {
"prompt": "# Path: tryit.py\n\n\n\ndef add(x, y):\n return x + y",
"suffix": "",
"max_tokens": 500,
"temperature": 0,
"top_p": 1,
"n": 1,
"stop": [
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