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### What problem does this PR solve? Add GPUStack as a new model provider. [GPUStack](https://github.com/gpustack/gpustack) is an open-source GPU cluster manager for running LLMs. Currently, locally deployed models in GPUStack cannot integrate well with RAGFlow. GPUStack provides both OpenAI compatible APIs (Models / Chat Completions / Embeddings / Speech2Text / TTS) and other APIs like Rerank. We would like to use GPUStack as a model provider in ragflow. [GPUStack Docs](https://docs.gpustack.ai/latest/quickstart/) Related issue: https://github.com/infiniflow/ragflow/issues/4064. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Testing Instructions 1. Install GPUStack and deploy the `llama-3.2-1b-instruct` llm, `bge-m3` text embedding model, `bge-reranker-v2-m3` rerank model, `faster-whisper-medium` Speech-to-Text model, `cosyvoice-300m-sft` in GPUStack. 2. Add provider in ragflow settings. 3. Testing in ragflow.