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chore(sync): mirror docs from openclaw/openclaw@aa071e0b60

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openclaw-docs-sync[bot] 2026-04-27 02:10:33 +00:00
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commit 77ee7438ae
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.openclaw-sync/source.json
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@ -1,5 +1,5 @@
{
"repository": "openclaw/openclaw",
"sha": "2dba9e6a765a1bdee80d0c8e3a26e77a71d513a8",
"syncedAt": "2026-04-27T02:03:20.819Z"
"sha": "aa071e0b60613f5ed49345a1c9b9bbdaa10cae19",
"syncedAt": "2026-04-27T02:09:07.579Z"
}

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docs/providers/ollama.md
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@ -403,6 +403,8 @@ For the full setup and behavior details, see [Ollama Web Search](/tools/ollama-s
You can override `contextWindow` and `maxTokens` in explicit provider config. To cap Ollama's per-request runtime context without rebuilding a Modelfile, set `params.num_ctx`; OpenClaw sends it as `options.num_ctx` for both native Ollama and the OpenAI-compatible Ollama adapter. Invalid, zero, negative, and non-finite values are ignored and fall back to `contextWindow`.
Native Ollama model entries also accept the common Ollama runtime options under `params`, including `temperature`, `top_p`, `top_k`, `min_p`, `num_predict`, `stop`, `repeat_penalty`, `num_batch`, `num_thread`, and `use_mmap`. OpenClaw forwards only Ollama request keys, so OpenClaw runtime params such as `streaming` are not leaked to Ollama. Use `params.think` or `params.thinking` to send top-level Ollama `think`; `false` disables API-level thinking for Qwen-style thinking models.
```json5
{
models: {
@ -415,6 +417,9 @@ For the full setup and behavior details, see [Ollama Web Search](/tools/ollama-s
maxTokens: 65536,
params: {
num_ctx: 32768,
temperature: 0.7,
top_p: 0.9,
thinking: false,
},
}
]