cli-and-services
Use Agent Lightning agl CLI commands, store and Prometheus services, LLMProxy/vLLM service patterns, metrics, and safe endpoint checks.
ソース情報
- リポジトリ
- VectorSpaceLab/AREX-Skill
- ソースの最終更新活動
- 2026年8月26日 16:31
- 検出された SKILL.md の言語
- 英語
- スター
- 12
- フォーク
- 2
インストール方法
デフォルトでは、最初にソースを確認する Prompt が選択されています。直接コマンドに切り替えるか、ローカルコピーをダウンロードすることもできます。
ソースファイルを確認
インストールを決める前に、SKILL.md と SkillsMP に表示されている付属ファイルをお読みください。
ファイルエクスプローラー
6 ファイルSKILL.md を表示中
SKILL.md
ソースの指示 · 読み取り専用プレビュー- name
- cli-and-services
- description
- Use Agent Lightning agl CLI commands, store and Prometheus services, LLMProxy/vLLM service patterns, metrics, and safe endpoint checks.
- disable-model-invocation
- true
- metadata
- {"disco-role":"operating"}
- license
- MIT
# CLI and services
Use this sub-skill when the user asks about `agl` commands, store servers, Prometheus metrics, LLM proxying, vLLM integration, OpenAI-compatible endpoint checks, or service startup failures.
## Route by task
| Request | Read/run |
| --- | --- |
| Check `agl`, `agl store`, or `agl prometheus` flags | [references/cli-reference.md](references/cli-reference.md) |
| Start or connect to a LightningStore service | [references/service-workflows.md](references/service-workflows.md#store-service) |
| Use LLMProxy with OpenAI-compatible/vLLM endpoints | [references/service-workflows.md](references/service-workflows.md#llm-proxy) |
| Check a LiteLLM/OpenAI-compatible proxy safely | `python scripts/check_litellm_proxy.py --base-url ... --model ...` |
| Emit local demo metrics or check Prometheus dependencies | `python scripts/check_prometheus_metrics.py --duration 1 --host 127.0.0.1` |
| Debug CLI/service failures | [references/troubleshooting.md](references/troubleshooting.md) |
## Key rules
- Always run `agl --help` and subcommand `--help` before relying on remembered flags.
- `agl store` supports in-memory and optional Mongo backends.
- `agl prometheus` requires Prometheus client support and `PROMETHEUS_MULTIPROC_DIR` when starting the exporter.
- `agl vllm` imports vLLM and is optional; expect it to fail in CPU/base environments without vLLM.
- `LLMProxy` wraps LiteLLM and can route `/rollout/<id>/attempt/<id>/v1/...` requests so spans are attributed to the correct attempt.
- Do not print API keys. Endpoint checkers should show model IDs and status, not secrets.
## Safe checks
```bash
agl --help
agl store --help
agl prometheus --help
python scripts/check_litellm_proxy.py --help
python scripts/check_prometheus_metrics.py --duration 1 --host 127.0.0.1
```
The LiteLLM proxy checker makes network requests only when `--base-url` and `--model` are explicitly supplied. The metrics checker binds localhost by default in examples and exits quickly.
## Boundary
This sub-skill owns command syntax and service surfaces. For rollout status semantics use [runner-store-training](../runner-store-training/SKILL.md). For interpreting spans or token IDs use [tracing-and-instrumentation](../tracing-and-instrumentation/SKILL.md). For optional example selection use [examples-and-recipes](../examples-and-recipes/SKILL.md).
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