xxiaoxiong/dsh-prometheus

Privacy-conscious Prometheus metrics and Grafana dashboards for DeepSeek Harness

Bundle 已验证 MIT TypeScript v0.1.0
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Bundle 已验证

版本v0.1.0
语言TypeScript
许可证MIT
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功能介绍

导出有界的 DSH Session、Agent、LLM、Tool、Approval、Subagent 与 Job Prometheus 指标,附带 Grafana 仪表盘,Endpoint 默认仅监听回环地址。

适合

  • 需要用 Prometheus 监控 DSH Session、Agent、LLM 调用、Tool、Approval、Subagent 和 Job 的团队。
  • 希望直接导入 Grafana 总览仪表盘的运维人员。
  • 需要限制指标基数且不导出对话或工具载荷的隐私敏感型可观测性流程。
  • 能够抓取默认回环 Endpoint 的本地监控环境。

不适合

  • 需要观察对话内容或工具输入输出载荷的可观测性工作流。
  • 要求直接远程暴露时内置认证或 TLS 的部署;插件不提供这两项能力。
  • 要求历史计数器在插件重载或进程重启后连续保留的系统。
  • 无法在该开发者预览版中将每次 DSH 升级视为兼容性变更的部署。

README

dsh-prometheus

English 中文

Prometheus metrics and a ready-to-import Grafana dashboard for DeepSeek Harness. The plugin observes public DSH lifecycle seams, keeps metric series bounded, and avoids exporting conversation or tool payloads.

Release status: 0.1.0 is the first developer-preview release, tested against DSH 0.1.0-rc.6.

What it monitors

  • Active sessions; agent turns, steps, errors, and duration histograms
  • LLM request rate, terminal status, latency, and disjoint input/output/reasoning/cache token counters
  • Tool call rate, normalized success/error status, and latency
  • Approval request and fixed outcome counters
  • Subagent starts, outcomes, and duration
  • Active/started/completed/killed/failed background jobs and duration
  • Process start time and cardinality-overflow diagnostics

The exact names, labels, and meanings are in docs/metrics.md.

Compatibility

Component Tested version
DeepSeek Harness npm packages 0.1.0-rc.6
Official source baseline 47f943859bef60e4160492346772ded9b24f765a (2026-08-13)
Cordis ^4.0.1
Node.js ^22.19.0 || >=24.0.0
prom-client 15.1.3

DeepSeek Harness is a developer preview. Treat every DSH upgrade as a compatibility event and run the full test/release checklist.

Install

Install the package into a DSH profile and verify its bundle layer:

dsh plugin --profile monitoring add dsh-prometheus
dsh --profile monitoring --dump-config

The bundle inserts one row with id prometheus. Verify the dump includes the dsh-prometheus layer before booting the profile.

Endpoint selection

The default mode: auto makes one activation-time decision:

  1. If a public DSH webServer is already active and safely bound, register the exact /metrics route on it.
  2. Otherwise, start a standalone endpoint on 127.0.0.1:9464.

For the bundled Docker example, force standalone mode so Prometheus has a stable target. Add this row to the profile’s cordis.patch.yml (later layers replace the whole config value):

- id: prometheus
  config:
    enabled: true
    mode: standalone
    host: 127.0.0.1
    port: 9464
    path: /metrics
    allowRemote: false
    maxLabelValues: 64
    maxLabelValueLength: 80
Configuration
Field Default Description
enabled true Disable all collectors and endpoint without removing the row.
mode auto auto, webserver, or standalone.
host 127.0.0.1 Standalone bind address: loopback or 0.0.0.0.
port 9464 Standalone TCP port; 0 is intended only for tests.
path /metrics Exact route, beginning with / and without a trailing slash.
allowRemote false Required acknowledgement for 0.0.0.0 or a remote-facing WebServer route.
maxLabelValues 64 Per-key dynamic-label vocabulary cap.
maxLabelValueLength 80 Maximum accepted dynamic-label length.

Remote exposure has no built-in authentication or TLS. Read SECURITY.md before enabling it.

Quick scrape

curl --fail --silent http://127.0.0.1:9464/metrics

The endpoint accepts GET and HEAD, returns 405 for other methods, disables caching, and uses the Prometheus/OpenMetrics-compatible prom-client content type.

Prometheus and Grafana

The repository includes a full local stack:

docker compose -f examples/docker-compose.yml up -d

Then open Prometheus at http://127.0.0.1:9090 and Grafana at http://127.0.0.1:3000 (admin / admin; change it outside local development). The datasource and DeepSeek Harness / Overview dashboard are provisioned automatically.

The standalone assets are examples/prometheus.yml and grafana/dsh-overview.json. Security, compatibility, and verification details live in docs/security.md, docs/compatibility.md, and docs/verification-report.md.

Useful queries:

# Turn throughput
sum(rate(dsh_agent_turns_total[5m]))

# Turn failure ratio
sum(rate(dsh_agent_turns_total{status=~"error|blocked|aborted"}[5m]))
/
clamp_min(sum(rate(dsh_agent_turns_total[5m])), 0.000001)

# P95 LLM latency by provider/model
histogram_quantile(0.95,
  sum by (le, provider, model) (rate(dsh_llm_request_duration_seconds_bucket[5m])))

# Tool errors by tool
sum by (tool) (rate(dsh_tool_calls_total{status!="success"}[5m]))

See examples/prometheus/alerts.yml for starter alerts. Tune thresholds to the workload; quiet agent processes legitimately have zero throughput.

Privacy and cardinality

The collector never exports prompts, user/assistant messages, system prompts, tool arguments or results, error text, file paths, working directories, arbitrary metadata, or session/agent/call/job/subagent ids.

Only four runtime-controlled label keys exist: provider, model, tool, and job kind. Values must match [A-Za-z0-9][A-Za-z0-9_.:/-]*, remain within the configured length, and fit the per-key vocabulary cap. Rejected or excess values become __other__; the event is counted by dsh_metrics_label_overflow_total without logging the original value.

Provider/model/tool/kind names are still operational metadata. Do not put customer identifiers or secrets in those names.

Lifecycle behavior

All listeners, job observers, routes, sockets, and registries belong to the plugin’s Cordis fiber. On hot reload or uninstall, the route is removed or the standalone server is closed and remaining sockets are destroyed. The registry is instance-local, so reload does not collide with process-global collectors.

Existing live sessions and jobs seed gauges only. Historical events are not replayed into counters. Counter resets across process restart/hot reload are normal Prometheus behavior.

Upgrade, downgrade, remove

# Upgrade after obtaining a newer tarball/version
dsh plugin --profile monitoring add ./dsh-prometheus-NEW.tgz
dsh --profile monitoring --dump-config

# Remove the dependency and bundle layer
dsh plugin --profile monitoring remove dsh-prometheus

Before a downgrade, compare metric and config contracts in CHANGELOG.md. Removing the plugin does not delete data already stored by Prometheus.

Development

pnpm install --frozen-lockfile
pnpm check
pnpm test:coverage
pnpm pack

The suite covers config/cardinality, privacy, LLM/tool waterfalls, endpoint methods, remote-exposure gates, WebServer route teardown, standalone socket teardown, job/subagent lifecycles, and a real rc.6 AgentLoop turn. See CONTRIBUTING.md, docs/architecture.md, and docs/release-checklist.md.

Troubleshooting and limitations

See docs/troubleshooting.md and docs/known-limitations.md.

License

MIT

常见问题常见问题

在启用了 DSH 的终端中执行已验证命令 dsh plugin --profile default add github:xxiaoxiong/dsh-prometheus。命令会解析公开 package 元数据,并保持插件与本页展示的目录身份一致。