Skip to main content

grafana

Query Grafana dashboards and Prometheus metrics for service health, LLM latency, and infrastructure monitoring. Use this skill when the user asks about service health, monitoring, alerts, or performance metrics.

소스 정보

저장소
BuilderIO/agent-native
최근 소스 활동
2026년 9월 20일 21:55
감지된 SKILL.md 언어
영어
스타
7,449
포크
681

설치 방법

기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.

소스 파일 검토

설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.

SKILL.md 표시 중

SKILL.md
소스 지침 · 읽기 전용 미리보기
name
grafana
description
Query Grafana dashboards and Prometheus metrics for service health, LLM latency, and infrastructure monitoring. Use this skill when the user asks about service health, monitoring, alerts, or performance metrics.
# Grafana Integration ## Connection - **Base URL**: `$GRAFANA_URL` (e.g. `https://your-org.grafana.net`) - **Auth**: `Authorization: Bearer $GRAFANA_API_TOKEN` (service account token) - **Credentials**: `GRAFANA_URL`, `GRAFANA_API_TOKEN` from Settings → Data sources - **Caching**: 10-minute cache for metadata; query results are NOT cached (time-sensitive) - **Key datasource**: Prometheus UID `grafanacloud-prom` ## Server Lib & API Routes - **File**: `server/lib/grafana.ts` ### Exported Functions | Function | Description | | --------------------------------------------- | --------------------------------------- | | `listDashboards(query?)` | Search dashboards by query | | `getDashboard(uid)` | Full dashboard JSON with panels | | `getDatasources()` | List all datasources | | `getAlertRules()` | All alert rules (flattened from groups) | | `getAlertInstances()` | Currently firing alert instances | | `queryDatasource(uid, queries[], from?, to?)` | Proxy to Grafana's `/api/ds/query` | ### API Routes | Route | Description | | ------------------------------------ | ----------------------------------------- | | `GET /api/grafana/dashboards` | Search dashboards | | `GET /api/grafana/dashboard?uid=...` | Full dashboard JSON | | `GET /api/grafana/datasources` | List datasources | | `GET /api/grafana/alerts` | Alert rules and firing instances | | `POST /api/grafana/query` | Query datasource (Prometheus, Loki, etc.) | ### Agent Action Use `grafana` for agent-facing Grafana work. Do not call `/api/grafana/*` directly from the agent. | Mode | Args | Description | | ------------- | ---------------------------------------- | -------------------------------- | | `dashboards` | `search` | Search dashboards | | `dashboard` | `uid` | Full dashboard JSON | | `datasources` | | List datasources | | `alerts` | | Alert rules and firing instances | | `query` | `datasourceUid`, `queries`, `from`, `to` | Query a datasource | ### Dashboard - `/adhoc/engineering` — Engineering dashboard (mirrors a Grafana dashboard by UID) ## Grafana Response Frame Format ``` { results: { [refId]: { frames: [{ schema: { fields }, data: { values } }] } } } ``` - `values[0]` = timestamps (epoch ms), `values[1+]` = metric values - Series labels from `schema.fields[i].labels` (e.g. `{ model: "claude-3.5" }`) - Transform to Recharts: `{ time: number, [seriesName]: number }[]` ## Template Variables - `$CodegenMode` → default `quality-v4` - `$AIModel` → regex pattern, default `.*` (all) - `$environment` → `cloud` or `cloud-v2`, default `cloud` - Variables interpolated via string replace before querying ## Key Prometheus Metrics - **Codegen**: `vcpcodegen_completion_total`, `vcpcodegen_completion_latency_bucket`, `vcpcodegen_feedback_total`, `vcpcodegen_error_total` - **LLM**: `llm_completion_cost_total`, `llm_input_tokens_total`, `llm_output_tokens_total`, `llm_latency_bucket`, `llm_failures_total`, `llm_completions_total` - **Projects**: `projects_proposed_config_total`, `projects_status_total`, `projects_remote_machine_*`, `projects_start_duration_bucket` - **API/Runtime**: `api_request_total`, `with_span_duration_bucket`, `memory_heap_usage_percent_bucket` - **Fly.io**: `fly_endpoint_total`, `fly_machine_*` - **GitHub**: `builderbot_pr_created_total`, `builderbot_pr_closed_total` ## Key Patterns & Gotchas - `queryDatasource` constructs body with datasource UID in each query target; timestamps as string ms - `getAlertRules` flattens nested rule groups from unified alerting API - `getAlertInstances` handles both array and wrapped object response shapes - POST helper caches by default (fine for idempotent endpoints) but `queryDatasource` skips cache - Heatmap panels render as multi-series line/area (Recharts has no native heatmap; PromQL `histogram_quantile()` computes quantiles) ## Incident Investigation Pattern For production issues, query Grafana/Prometheus FIRST: 1. LLM latency by model (`llm_latency_bucket`) 2. Request rates (`api_request_total`) 3. Error rates (`llm_failures_total`) 4. Instance counts (via Cloud Monitoring) Then check Agent-Native Analytics Monitoring -> Errors for captured application issues, external Sentry when connected, and Cloud Logging for raw logs.
GitHub에서 보기