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DevvynandClaude Sonnet 5
98d26e14d9
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
76 lines
4.3 KiB
Markdown
76 lines
4.3 KiB
Markdown
# Custom Model Endpoints
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Point a harness at your own OpenAI-compatible server instead of its native cloud backend, for
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one session at a time. "Custom endpoint" covers **local** hardware (llama.cpp, Ollama, vLLM,
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a home GPU rig, DGX Spark, Strix Halo) and **cloud** services (Azure AI Foundry's
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OpenAI-compatible endpoint, OpenRouter, a company gateway) alike, anything answering
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`GET /v1/models` and `POST /v1/chat/completions` in the standard shape.
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**Off by default.** Turn it on in App Settings → Models → **Custom model endpoints**.
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## Adding an endpoint
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Still in App Settings → Models → Custom model endpoints:
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1. **+ Add endpoint** — give it an id, a label, and the base URL (`http://192.168.1.50:8080`,
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say). An API key is optional; most local servers don't check one.
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2. **Discover** — fetches the endpoint's own model list over `GET /v1/models` and stores it.
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3. Pick a **default model** from what was discovered. This is the model the Run-menu entry
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below applies with no further choice, so set it once you know which one you want.
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Endpoint management is admin-only in multi-user mode, the same as remote hosts and Docker
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hosts — these are machine-level infra, not a per-user setting.
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## Running a session against one
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With the setting on and at least one endpoint carrying a usable default model, the **Run**
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dropdown grows a **Custom Endpoints** section: one entry per harness that can redirect to a
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custom endpoint, per saved endpoint, e.g. "Claude Code (llama.cpp)". Picking one starts a
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session on that harness exactly the way its own entry would, then points it at the
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endpoint's default model. It is a one-off "try this endpoint" action, not a sticky mode — the
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plain **Run** button still means "this harness, native cloud" afterward, and a fresh session
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never inherits whatever the last one was pointed at.
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Applying a selection **restarts the harness's process in place** — same tab, same
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conversation where the harness supports resuming one, fresh environment. That restart is
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necessary, not incidental: every supported harness reads its endpoint config at process
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start, never per turn, so there is no live hot-swap while a turn is running.
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Entries are hidden entirely for a session in a **remote (SSH) or Docker case** — support for
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redirecting those hasn't landed yet, see below.
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## Which harnesses actually work
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| Harness | Status |
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| ------- | ------ |
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| **Claude Code, opencode, Pi, Grok, OMP** | Verified end-to-end against a real local server. |
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| **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. |
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| **Gemini** | Fails with an auth error gemini-cli raises once redirected. Unresolved; don't rely on it yet. |
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| **DeepSeek** | Reaches the server but gets a consistent 404. Root cause not identified. |
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| **Antigravity** | No known custom-endpoint mechanism at all. Not offered. |
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Which harnesses show up in the Run-menu picker is read live off Codeman's own CLI registry,
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not a fixed list here, so this table can go stale before this page does — a greyed-out or
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missing entry is the more current answer.
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## What it does not do
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- **No remote or Docker sessions yet.** Both restart their agent differently under the hood
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(reattaching a durable tmux session rather than relaunching the process), so redirecting
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them needs its own plumbing that hasn't been built.
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- **No live hot-swap mid-conversation.** Applying a selection always restarts the process.
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- **Nothing is shared with your real cloud credentials.** The endpoint's own key, if any,
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never touches your Anthropic/OpenAI/Google login — a custom endpoint is a separate,
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explicit choice per session.
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## Security
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An endpoint's base URL can't point at a link-local or cloud-metadata address (both at save
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time and against the address it actually resolves to), the same guard Web Tabs uses for
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saved dashboards. Endpoint records and any per-session config files a harness needs are
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written with owner-only permissions. See
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[custom-model-endpoints-plan.md](https://github.com/Ark0N/Codeman/blob/master/docs/custom-model-endpoints-plan.md)
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in the repository for the full design reasoning, including why this feature closed a
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pre-existing gap in how session environment overrides were guarded rather than opening a new
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one.
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