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chore(sync): mirror docs from openclaw/openclaw@45778a840d

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openclaw-docs-sync[bot] 2026-04-27 07:18:13 +00:00
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commit cb8065d7d9
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4
.openclaw-sync/source.json
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@ -1,5 +1,5 @@
{
"repository": "openclaw/openclaw",
"sha": "baace37fefe26862b264077642fb067bd867aab8",
"syncedAt": "2026-04-27T07:04:23.288Z"
"sha": "45778a840d274eeba1a685806bfe3fe25807cc6e",
"syncedAt": "2026-04-27T07:16:51.280Z"
}

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docs/providers/lmstudio.md
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@ -30,17 +30,13 @@ lms server start --port 1234
If you are using the app, make sure you have JIT enabled for a smooth experience. Learn more in the [LM Studio JIT and TTL guide](https://lmstudio.ai/docs/developer/core/ttl-and-auto-evict).
3. OpenClaw requires an LM Studio token value. Set `LM_API_TOKEN`:
3. If LM Studio authentication is enabled, set `LM_API_TOKEN`:
```bash
export LM_API_TOKEN="your-lm-studio-api-token"
```
If LM Studio authentication is disabled, use any non-empty token value:
```bash
export LM_API_TOKEN="placeholder-key"
```
If LM Studio authentication is disabled, you can leave the API key blank during interactive OpenClaw setup.
For LM Studio auth setup details, see [LM Studio Authentication](https://lmstudio.ai/docs/developer/core/authentication).
@ -73,7 +69,7 @@ openclaw onboard \
--auth-choice lmstudio
```
Or specify base URL or model with API key:
Or specify the base URL, model, and optional API key:
```bash
openclaw onboard \
@ -88,13 +84,14 @@ openclaw onboard \
`--custom-model-id` takes the model key as returned by LM Studio (e.g. `qwen/qwen3.5-9b`), without
the `lmstudio/` provider prefix.
Non-interactive onboarding requires `--lmstudio-api-key` (or `LM_API_TOKEN` in env).
For unauthenticated LM Studio servers, any non-empty token value works.
For authenticated LM Studio servers, pass `--lmstudio-api-key` or set `LM_API_TOKEN`.
For unauthenticated LM Studio servers, omit the key; OpenClaw stores a local non-secret marker.
`--custom-api-key` remains supported for compatibility, but `--lmstudio-api-key` is preferred for LM Studio.
This writes `models.providers.lmstudio`, sets the default model to
`lmstudio/<custom-model-id>`, and writes the `lmstudio:default` auth profile.
This writes `models.providers.lmstudio` and sets the default model to
`lmstudio/<custom-model-id>`. When you provide an API key, setup also writes the
`lmstudio:default` auth profile.
Interactive setup can prompt for an optional preferred load context length and applies it across the discovered LM Studio models it saves into config.
@ -147,7 +144,7 @@ Same behavior applies to these OpenAI-compatible local backends:
### LM Studio not detected
Make sure LM Studio is running and that you set `LM_API_TOKEN` (for unauthenticated servers, any non-empty token value works):
Make sure LM Studio is running. If authentication is enabled, also set `LM_API_TOKEN`:
```bash
# Start via desktop app, or headless:
@ -166,7 +163,7 @@ If setup reports HTTP 401, verify your API key:
- Check that `LM_API_TOKEN` matches the key configured in LM Studio.
- For LM Studio auth setup details, see [LM Studio Authentication](https://lmstudio.ai/docs/developer/core/authentication).
- If your server does not require authentication, use any non-empty token value for `LM_API_TOKEN`.
- If your server does not require authentication, leave the key blank during setup.
### Just-in-time model loading