docs(wiki): document Custom Model Endpoints and the Run-menu picker

New docs/wiki/Custom-Model-Endpoints.md (auto-synced to the live GitHub
wiki on push to master, per docs/wiki/Contributing.md) covers turning the
feature on, adding an endpoint, the Run-menu picker's one-off-run
behaviour, the per-harness confidence table, and what it deliberately does
not do yet (remote/Docker sessions, live hot-swap). Linked from the
sidebar, from Agent-CLIs.md's "Read next" list plus a short pointer
section, and from Settings-Reference.md's Models section.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01RqZeHrRS6DYcGcGX2p9EwG
This commit is contained in:
Devvyn
2026-09-16 07:01:23 +08:00
co-authored by Claude Sonnet 5
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- **Shell** for the times you want a terminal on your phone with no agent at all. It is a
genuinely useful mode, not a fallback.
## Pointing one at your own server
Most of these harnesses can also run against a custom OpenAI-compatible endpoint instead of
their native cloud backend, for one session at a time, an opt-in feature covered in full on
[Custom Model Endpoints](Custom-Model-Endpoints).
## Read next
- [Core Concepts](Core-Concepts) - run modes versus location overlays.
- [Custom Model Endpoints](Custom-Model-Endpoints) - run a harness against your own server.
- [Settings Reference](Settings-Reference) - model, effort, and permission-mode settings.
- [Keeping Agents Running](Keeping-Agents-Running) - what idle detection does per mode.
- [Security](Security) - what skipping permission prompts actually means.
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# Custom Model Endpoints
Point a harness at your own OpenAI-compatible server instead of its native cloud backend, for
one session at a time. "Custom endpoint" covers **local** hardware (llama.cpp, Ollama, vLLM,
a home GPU rig, DGX Spark, Strix Halo) and **cloud** services (Azure AI Foundry's
OpenAI-compatible endpoint, OpenRouter, a company gateway) alike, anything answering
`GET /v1/models` and `POST /v1/chat/completions` in the standard shape.
**Off by default.** Turn it on in App Settings → Models → **Custom model endpoints**.
## Adding an endpoint
Still in App Settings → Models → Custom model endpoints:
1. **+ Add endpoint** — give it an id, a label, and the base URL (`http://192.168.1.50:8080`,
say). An API key is optional; most local servers don't check one.
2. **Discover** — fetches the endpoint's own model list over `GET /v1/models` and stores it.
3. Pick a **default model** from what was discovered. This is the model the Run-menu entry
below applies with no further choice, so set it once you know which one you want.
Endpoint management is admin-only in multi-user mode, the same as remote hosts and Docker
hosts — these are machine-level infra, not a per-user setting.
## Running a session against one
With the setting on and at least one endpoint carrying a usable default model, the **Run**
dropdown grows a **Custom Endpoints** section: one entry per harness that can redirect to a
custom endpoint, per saved endpoint, e.g. "Claude Code (llama.cpp)". Picking one starts a
session on that harness exactly the way its own entry would, then points it at the
endpoint's default model. It is a one-off "try this endpoint" action, not a sticky mode — the
plain **Run** button still means "this harness, native cloud" afterward, and a fresh session
never inherits whatever the last one was pointed at.
Applying a selection **restarts the harness's process in place** — same tab, same
conversation where the harness supports resuming one, fresh environment. That restart is
necessary, not incidental: every supported harness reads its endpoint config at process
start, never per turn, so there is no live hot-swap while a turn is running.
Entries are hidden entirely for a session in a **remote (SSH) or Docker case** — support for
redirecting those hasn't landed yet, see below.
## Which harnesses actually work
| Harness | Status |
| ------- | ------ |
| **Claude Code, opencode, Pi, Grok, OMP** | Verified end-to-end against a real local server. |
| **Codex** | Config is correct, but Codex only speaks the Responses API, which llama.cpp-style servers don't implement. A protocol gap, not a Codeman bug. |
| **Gemini** | Fails with an auth error gemini-cli raises once redirected. Unresolved; don't rely on it yet. |
| **DeepSeek** | Reaches the server but gets a consistent 404. Root cause not identified. |
| **Antigravity** | No known custom-endpoint mechanism at all. Not offered. |
Which harnesses show up in the Run-menu picker is read live off Codeman's own CLI registry,
not a fixed list here, so this table can go stale before this page does — a greyed-out or
missing entry is the more current answer.
## What it does not do
- **No remote or Docker sessions yet.** Both restart their agent differently under the hood
(reattaching a durable tmux session rather than relaunching the process), so redirecting
them needs its own plumbing that hasn't been built.
- **No live hot-swap mid-conversation.** Applying a selection always restarts the process.
- **Nothing is shared with your real cloud credentials.** The endpoint's own key, if any,
never touches your Anthropic/OpenAI/Google login — a custom endpoint is a separate,
explicit choice per session.
## Security
An endpoint's base URL can't point at a link-local or cloud-metadata address (both at save
time and against the address it actually resolves to), the same guard Web Tabs uses for
saved dashboards. Endpoint records and any per-session config files a harness needs are
written with owner-only permissions. See
[custom-model-endpoints-plan.md](https://github.com/Ark0N/Codeman/blob/master/docs/custom-model-endpoints-plan.md)
in the repository for the full design reasoning, including why this feature closed a
pre-existing gap in how session environment overrides were guarded rather than opening a new
one.
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@@ -92,6 +92,10 @@ Model and effort are both **soft defaults**: the model is written into the case'
`.claude/settings.local.json` and effort is passed at start, so `/model` and `/effort`
inside a session override them at any time.
**Custom model endpoints** (off by default) adds a saved-endpoint list plus a matching
section to the Run dropdown, for pointing a harness at your own OpenAI-compatible server
instead of its native cloud backend. See [Custom Model Endpoints](Custom-Model-Endpoints).
### Agents & CLIs
| Setting | Notes |
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- [The Dashboard](The-Dashboard)
- [Agent CLIs](Agent-CLIs)
- [Custom Model Endpoints](Custom-Model-Endpoints)
- [Working With Files](Working-With-Files)
- [Input And Voice](Input-And-Voice)
- [Mobile Guide](Mobile-Guide)