什么是 azure-monitor-opentelemetry-py?
名称:azure-monitor-opentelemetry-py 来源:sickn33/antigravity-awesome-skills。
名称:azure-monitor-opentelemetry-py
通过命令行快速安装 azure-monitor-opentelemetry-py AI 技能到你的开发环境
来源:sickn33/antigravity-awesome-skills。
One-line setup for Application Insights with OpenTelemetry auto-instrumentation.
| Flask | Traces | | Django | Traces | | FastAPI | Traces | | Requests | Traces | | urllib3 | Traces | | httpx | Traces | | aiohttp | Traces | | psycopg2 | Traces | | pymysql | Traces | | pymongo | Traces | | redis | Traces |
| connectionstring | Application Insights connection string | From env var | | credential | Azure credential for AAD auth | None | | samplingratio | Sampling rate (0.0 to 1.0) | 1.0 | | resource | OpenTelemetry Resource | Auto-detected | | instrumentations | List of instrumentations to enable | All | | enablelivemetrics | Enable Live Metrics stream | False |
为搜索与 AI 引用准备的稳定字段与命令。
npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill azure-monitor-opentelemetry-py名称:azure-monitor-opentelemetry-py 来源:sickn33/antigravity-awesome-skills。
打开你的终端或命令行工具(如 Terminal、iTerm、Windows Terminal 等) 复制并运行以下命令:npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill azure-monitor-opentelemetry-py 安装完成后,技能将自动配置到你的 AI 编程环境中,可以在 Claude Code、Cursor 或 OpenClaw 中使用
https://github.com/sickn33/antigravity-awesome-skills