actual-setup 精选
Set up Actual Computer (actual.inc) inference in Hermes.
安装方式
cp -r optional-skills/devops/actual-setup ~/.claude/skills/actual-setup把该 skill 目录放进客户端 skills 目录。不同客户端的目录可能不同,Claude Code 默认是 ~/.claude/skills/
https://raw.githubusercontent.com/NousResearch/hermes-agent/0b89435e7e4f7fab88a34eb69f13bf339eb2fd00/optional-skills/devops/actual-setup/SKILL.md下载后另存为 ~/.claude/skills/actual-setup/SKILL.md。链接锁定采集时的 commit,内容与本站展示一致。
整仓一次性获取:git clone --depth 1 https://github.com/NousResearch/hermes-agent.git
依赖与权限
- 需要 API Key —— 使用前需配置相应的密钥环境变量
- 需要联网访问外部服务
- 依赖外部命令:
curl - 以上为按正文与 frontmatter 自动推断的信号,仅供参考;安装前建议先阅读原文。
SKILL.md 正文
Actual Computer Setup Skill
Sets up actual.inc (Actual Computer) as a Hermes inference
provider. Actual turns the user's own hardware into a private inference cluster
and exposes an OpenAI-compatible API two ways: a hosted end-to-end-encrypted
relay at https://api.actual.inc (authenticated with an ac_ key), and a local
on-device daemon at http://127.0.0.1:8080 (no auth on loopback). This skill
does not install the Actual daemon for the user — device authorization requires
a human in a browser.
When to Use
- User wants to add actual.inc as an inference provider (cloud relay or local).
- User has an
ac_key and wants Hermes routed through their Actual cluster. - User wants fully-local, on-device inference via the Actual daemon.
- Troubleshooting: Actual requests failing with cryptic 400s or empty streams.
Prerequisites
- Hermes has first-class
actualprovider support (provider idactual,
aliases actual-computer, actualcomputer, aci). Do NOT configure Actual
as a custom_providers / providers.actual.* entry on current Hermes — the
built-in provider owns the name and handles base-url normalization, the
Responses transport, and local no-auth automatically.
- Relay mode: an Actual account and an
ac_inference key from
https://actual.inc/user/keys.
- Local mode: the user has installed the daemon
(curl -fsSL "https://actual.inc/install" | bash) and completed device
authorization by running actual once and opening the printed
https://actual.inc/device?code=... URL in a browser. Relay that URL to the
user and WAIT — never invent an email or authorize on their behalf. Codes
expire in 5 minutes; re-run actual for a fresh one.
How to Run
Relay / API mode
- Put the key in
.env(secrets only — never config.yaml):
append ACTUAL_API_KEY=ac_... to ~/.hermes/.env.
- Verify the key and discover models with
terminal:
curl -s https://api.actual.inc/v1/models -H "Authorization: Bearer $ACTUAL_API_KEY"
- Select provider + model:
hermes config set model.provider actual
hermes config set model.default "MODEL_ID_FROM_DISCOVERY"
- Verify end-to-end:
hermes chat -Q -q "Reply with exactly: ACTUAL_OK" --provider actual -m MODEL_ID
Local mode
- Human has installed + authorized the daemon (see Prerequisites).
- Download and load a model (scriptable once authorized):
actual models search "qwen2.5 0.5b instruct gguf" --limit 8 --no-prompt
# Downloads REQUIRE an explicit quantization (409 ambiguous_model_download otherwise):
actual models download "Qwen/Qwen2.5-0.5B-Instruct-GGUF/Q4_K_M"
actual models list # note the INSTALLED name (differs from download id)
actual models load "qwen2.5-0.5b-instruct-q4_k_m" # load by installed name
- Point Hermes at the daemon.
ACTUAL_BASE_URLwith a loopback host flips the
built-in provider into local no-auth mode automatically — no key needed:
append ACTUAL_BASE_URL=http://127.0.0.1:8080 to ~/.hermes/.env, then:
hermes config set model.provider actual
hermes config set model.default "INSTALLED_MODEL_NAME"
- Verify (reduced toolset — see context-window pitfall below):
hermes chat -Q -q "Reply with exactly: LOCAL_OK" --provider actual -m INSTALLED_NAME -t file,web
Quick Reference
| Thing | Value |
|---|---|
| Hosted relay | https://api.actual.inc/v1 (normalized from bare host automatically) |
| Local daemon | http://127.0.0.1:8080/v1 (no auth on loopback) |
| Key env var | ACTUAL_API_KEY (ac_...) |
| Base URL env var | ACTUAL_BASE_URL (loopback host ⇒ local no-auth mode) |
| Provider id / aliases | actual / actual-computer, actualcomputer, aci |
| Transport | Responses API (codex_responses) — built-in, do not override |
| Cluster pinning | X-Cluster-ID header via providers.actual.extra_headers in config.yaml |
| Model size guide | 0.5B Q4_K_M ~470MB (toy), 7-8B Q4_K_M ~4.5GB (daily driver), 32B ~20GB |
Pitfalls
- reasoning_effort trap (handled by Hermes since the first-class provider).
Actual's SGLang/vLLM backends accept only none/low/medium/high/max;
xhigh/ultra used to fail with a cryptic
Expecting value: line 1 column 1 (char 0) (a wrapped HTTP 400). The
built-in provider clamps xhigh→high and ultra→max on the wire. If a
request still 400s this way on an old Hermes, set a per-model cap:
agent.reasoning_overrides.<model>: high in config.yaml.
- Context-window overflow on small local models. Hermes' default toolset
is ~26k tokens of schemas plus a ~9k-token system prompt. A model loaded
with a 32k context overflows before the first turn, and llama.cpp-family
servers emit a bare data: [DONE] — Hermes reports
Provider returned an empty stream with no finish_reason. This is NOT an
SSE bug. Fixes: restrict tools (-t file,web), load the model with a
larger n_ctx, or pick a >=64k-context model for the full toolset.
Upstream tracking: #51448 (do not file new issues; add evidence there).
Related but distinct: #65631 (HTTP-200 SSE carrying a 400), #56516
(reasoning-only streams).
- Download ids vs installed names.
actual models downloadtakes
repo/QUANT and 409s without an explicit quantization;
actual models load takes the INSTALLED name from actual models list.
- Reasoning models returning empty content. GLM/Qwen reasoning variants
emit thinking in a separate reasoning field and can burn a small
max_tokens entirely on reasoning. Give generous max_tokens before
assuming failure.
- Do not create a custom provider named
actual. Older setup guides
(pre first-class support) wrote providers.actual.* config blocks. On
current Hermes the built-in provider wins the name; stale custom blocks
are ignored or conflict. Remove them and use the env vars + model.provider
flow above.
Verification
# Relay:
hermes chat -Q -q "Reply with exactly: ACTUAL_OK" --provider actual -m MODEL
# Local (small model — reduced toolset):
hermes chat -Q -q "Reply with exactly: LOCAL_OK" --provider actual -m MODEL -t file,web
# Provider status (local no-auth shows key_source=local-offline):
hermes status
For other OpenAI-compatible clients (e.g. OpenCode), see
references/opencode.md.
质量与来源
- 所属仓库
- NousResearch/hermes-agent
- 仓库星标
- 25 万
- 最近更新
- 今天
- 采集时间
- 今天
- commit
- 0b89435e7e4f
- 内容指纹
- sha256:1b9e6bbfc5f45be
- 文件路径
- optional-skills/devops/actual-setup/SKILL.md