Files
Codeman/docs/custom-model-endpoints.md
T
DevvynandClaude Sonnet 5 61779745aa test(custom-model): make the harness smoke test dynamic, verify all 9 CLIs end-to-end
Rewrites scripts/test-local-llm-harnesses.mjs -> .ts to read the live CLI
registry (enabledClis()) and call the real production
buildCustomModelInjection()/applyConfigDirInjection() instead of keeping a
second hand-maintained copy of every CLI's env/config shape. A future
registry change (new CLI, edited env var, fixed config template) is now
picked up automatically with zero edits to this script; only the one-shot
invocation flags (info the registry genuinely doesn't model) stay in a
small hand-maintained ONE_SHOT table, and a registry CLI with no entry
there reports UNKNOWN rather than being silently skipped.

Extracted src/custom-model-injection-apply.ts (applyConfigDirInjection/
removeConfigDir) so the production route and this script share one
implementation instead of two.

Full end-to-end run against a real llama-swap server, inside a
codeman/agent:llm-test Docker image with all 9 CLI binaries:

- claude, opencode, pi, grok, omp: PASS, real "hello world" replies
- codex: confirmed FAIL for a real protocol reason, not a bug — it only
  speaks the Responses API since Feb 2026, which llama.cpp/llama-swap
  don't implement
- gemini: confirmed FAIL, unresolved after real investigation — an
  undocumented GATEWAY AuthType gemini-cli selects once
  GOOGLE_GEMINI_BASE_URL is set rejects every auth-key format/override
  tried
- deepseek: reaches the server (env vars are read) but gets a consistent
  HTTP_404; root cause not identified, documented as best-effort/unknown
- antigravity: SKIP, no known mechanism (unchanged)

Two real bugs found and fixed along the way (grok, pi/omp registry
entries in stock.ts): grok's original recipe (env vars) was flat-out
wrong, not just unverified — the real mechanism is a config.toml
[model.<name>] block redirected via GROK_HOME. pi/omp's PI_CONFIG_DIR
does nothing for either (grepped pi's entire bundled source — the string
appears nowhere); the real redirect is the child process's own HOME, and
both need `models` as an array of {id} objects, not an object keyed by
id (silently loaded zero models otherwise).

deployment_plan.md, PR.md, docs/custom-model-endpoints.md, and CLAUDE.md
updated with the final confidence table reflecting all of the above.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_017HqNWfmtBU2KN29SvSVWB3
2026-09-13 17:42:35 +08:00

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5.5 KiB
Markdown

# Custom Model Endpoint Profiles
Point any Codeman-supported harness — Claude, opencode, Codex, Gemini, Pi,
Grok, DeepSeek, or OMP — at a custom OpenAI-compatible endpoint instead of
its native cloud backend, for a given session. "Custom endpoint" covers both
**local** hardware (llama.cpp, Ollama, vLLM, a home GPU rig, or purpose-built
boxes like NVIDIA DGX Spark or AMD Strix Halo mini-PCs) and **cloud**
services (Azure AI Foundry's OpenAI-compatible endpoint, OpenRouter, a
company gateway) — anything answering `GET /v1/models` and
`POST /v1/chat/completions` in the standard shape. Design doc, per-CLI
recipe confidence table, and security reasoning:
[`deployment_plan.md`](../deployment_plan.md).
> **Status**: backend is implemented and tested (registry capability, the
> injection engine, the endpoint store + discovery route, the session
> restart route). The toolbar picker / settings UI described below as the
> intended surface is **not yet built** — until it lands, use the HTTP API
> directly (examples below). Antigravity has no known custom-endpoint
> mechanism and is not supported.
## Turning it on
App Settings → Agents & CLIs → **Custom Model Endpoints** (synced setting
`customModelEndpointsEnabled`, default **OFF**). The API equivalent:
```bash
curl -sk -X PUT https://localhost:3000/api/settings \
-H 'Content-Type: application/json' \
-d '{"customModelEndpointsEnabled": true}'
```
## Adding an endpoint
```bash
curl -sk -X POST https://localhost:3000/api/model-endpoints \
-H 'Content-Type: application/json' \
-d '{"id": "llama-box", "label": "Home llama.cpp", "baseUrl": "http://192.168.1.50:8080"}'
```
`apiKey` is optional (most local servers don't check it). `authStyle`
(`bearer` | `api-key` | `both`, default `both`) controls which auth header
convention discovery uses — `both` works whether the endpoint is llama.cpp
(ignores the header) or a cloud gateway like Azure (wants `api-key`).
Discover its available models:
```bash
curl -sk -X POST https://localhost:3000/api/model-endpoints/llama-box/discover-models
```
This calls the endpoint's own `GET /v1/models` and stores the returned list
on the endpoint record; `GET /api/model-endpoints` lists everything
configured, `PUT`/`DELETE /api/model-endpoints/:id` update or remove one.
Endpoint management is admin-only in multi-user mode, same as remote/docker
hosts — these are machine-level infra, not per-user settings.
## Applying a model to a session
```bash
curl -sk -X POST https://localhost:3000/api/sessions/<sessionId>/custom-model \
-H 'Content-Type: application/json' \
-d '{"endpointId": "llama-box", "modelId": "qwen3"}'
```
This computes the CLI-specific env vars / config for that session's mode
(see the recipe table in `deployment_plan.md`) and **restarts the session's
CLI process in place** — same pane, same tmux session, fresh env. That
restart is necessary, not incidental: every supported harness reads its
endpoint config at process start, not per-turn, so there is no live
hot-swap. Clear back to the harness's native cloud default with:
```bash
curl -sk -X POST https://localhost:3000/api/sessions/<sessionId>/custom-model \
-H 'Content-Type: application/json' -d '{"clear": true}'
```
**New sessions always default back to the harness's native backend.** A
custom-endpoint selection is a per-session choice, never a sticky global
default — starting a fresh session doesn't inherit whatever the last one was
pointed at.
## Confidence per harness
Every harness except Antigravity has now been run end-to-end against a real
llama-swap server via `scripts/test-local-llm-harnesses.ts` (a dynamic
script that reads the live CLI registry, so a registry change is picked up
automatically). Results:
- **Claude, opencode, Pi, Grok, OMP** — verified: a real "hello world" reply
came back through the endpoint.
- **Codex** — the config is structurally correct, but Codex only speaks the
Responses API since Feb 2026, which llama.cpp/llama-swap don't implement.
This is a real protocol incompatibility, not a bug here; Codex support
needs a Responses-API-compatible endpoint.
- **Gemini** — fails with `Invalid auth method selected`, traced to an
undocumented `GATEWAY` auth path gemini-cli selects once
`GOOGLE_GEMINI_BASE_URL` is set. Unresolved after real investigation
(several auth workarounds were tried and ruled out); do not rely on
Gemini support yet.
- **DeepSeek** — the request reaches the server (env vars are read) but
gets a consistent `HTTP_404`. Root cause not identified; best-effort only.
- **Antigravity** — no known custom-endpoint mechanism at all; unsupported.
See the confidence table in `deployment_plan.md` for the full detail behind
each result. `scripts/test-local-llm-harnesses.ts` is the standalone script
used to check a harness against a real endpoint outside the web UI
entirely; see its own `--help` for usage.
## Security note
Every env var this feature can set that redirects a session's traffic
(`ANTHROPIC_BASE_URL`, `GOOGLE_GEMINI_BASE_URL`, `CODEX_HOME`, etc.) is
listed in that CLI's `privilegedEnvKeys` in the CLI registry, so a
non-granted multi-user owner cannot set one directly via the generic
`envOverrides` API field — only through this feature's own route, which
computes the value from an admin-configured, SSRF-guarded endpoint rather
than trusting arbitrary client input. See the "Multi-user security
hardening" section of `deployment_plan.md` for the full reasoning; several
of these were reachable via the generic `envOverrides` field even before
this feature existed, and building this surfaced and closed that gap.