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docs(providers): align ModelScope setup with current config
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@ -351,7 +351,7 @@ ModelScope (魔搭社区) exposes an OpenAI-compatible LLM endpoint plus a separ
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"modelPresets": {
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"primary": {
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"provider": "modelscope",
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"model": "Qwen/Qwen3-235B-A22B-Instruct-2507",
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"model": "Qwen/Qwen3-32B",
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"maxTokens": 8192,
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"contextWindowTokens": 65536
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}
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@ -364,9 +364,23 @@ ModelScope (魔搭社区) exposes an OpenAI-compatible LLM endpoint plus a separ
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}
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```
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Use the model ID exactly as ModelScope publishes it (usually `Namespace/model-name`). The default base URL is `https://api-inference.modelscope.cn/v1`; override with `providers.modelscope.apiBase` only if your account routes through a different host. Model IDs may optionally be prefixed with `modelscope/`; the prefix is stripped before the request is sent.
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Use an inference-enabled model ID exactly as ModelScope publishes it (usually `Namespace/model-name`). The default base URL is `https://api-inference.modelscope.cn/v1`; override `providers.modelscope.apiBase` only if your account routes through a different host. Chat model IDs may optionally be prefixed with `modelscope/`; nanobot strips that routing prefix before sending the request.
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ModelScope also provides image generation through the same provider key. Reference it as the image model in your agent config, for example `imageModel: "modelscope/MusePublic/489_ckpt_FLUX_1"`; nanobot handles the async submit/poll pattern automatically.
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ModelScope image generation reuses the same provider key but is configured under `tools.imageGeneration`, not in a model preset:
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```json
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{
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"tools": {
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"imageGeneration": {
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"enabled": true,
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"provider": "modelscope",
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"model": "Qwen/Qwen-Image-2512"
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}
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}
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}
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```
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Use the image model's exact ModelScope ID without a leading `modelscope/`; the image client sends this value unchanged and handles ModelScope's async submit/poll flow. See [Image Generation](./image-generation.md#modelscope) for supported sizes, aspect ratios, and the complete provider configuration.
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### Ollama
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