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### What problem does this PR solve? This PR adds `ModelMeta` implementations for four additional LLM/RAG ecosystem platforms, building on the ModelMeta infrastructure introduced in #15711. Currently, only `Ollama` and `VolcEngine` have `ModelMeta` classes that enable remote model list fetching. This PR extends that support to four more platforms. ### Changes Added four new `ModelMeta` subclasses in `rag/llm/model_meta.py`: | Platform | `_FACTORY_NAME` | Has model list | Has full model info | Approach | |----------|-----------------|----------------|---------------------|----------| | **Xinference** | `"Xinference"` | ✅ | ✅ | Parses `model_type` and `context_length` from `/v1/models` response. Maps 6 model types (LLM/embedding/rerank/image/TTS/speech2text). | | **LocalAI** | `"LocalAI"` | ✅ | ✅ | Uses Ollama-compatible `GET /api/tags` + `POST /api/show` endpoints. Returns capabilities (completion/embedding/vision/tools/thinking) and `general.context_length`. | | **BaiduYiyan** | `"BaiduYiyan"` | ✅ | ✅ | Uses Qianfan SDK static model catalog + `get_model_info()` for `max_input_tokens`. Returns 60 models (56 chat + 4 embedding) with real context lengths. | | **Tencent Cloud** | `"Tencent Cloud"` | ❌ | ❌ | `NotImplementedError` — uses SDK-based SID/SK HMAC signing, no model list REST API available. | All classes are automatically discovered and registered via the existing `__init__.py` mechanism — no additional configuration needed. ### Type of change - [x] New Feature (non-breaking change which adds functionality)