[WIP]support flagcx in vllm #461
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aoyulong
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Apr 29, 2025
### Description: Multi-node Prefill/Decode Disaggregated Deployment with FlagCX This PR implements support for multi-node disaggregated deployment of **prefill** and **decode** stages using `xPyD` Disaggregation: - Schedule strategies of PD instances currently support: `robin`, `random`. default is `robin`. - It introduces a new communication backend based on [FlagCX](https://github.com/FlagOpen/FlagCX). Merge [FlagCX Adapter](#461). - KV cache transfer is enabled via [p2pConnector](vllm-project/vllm#15806) in `vLLM`. --- ### How to Use **Step 1**: Install [FlagCX](https://github.com/FlagOpen/FlagCX?tab=readme-ov-file#quick-start) **Step 2**: Install the `vLLM` version from [FlagScale](https://github.com/FlagOpen/FlagScale?tab=readme-ov-file#setup) **Step 3**: Define your config files under `./examples/qwen/conf` **Step 4**: Launch the distributed deployment ```bash python run.py --config-path ./examples/qwen/conf --config-name config_qwen2.5_7b_disagg_xpyd action=run ``` **Step 5**: Send requests to the deployed service ```bash curl -X POST -s http://localhost:10001/v1/completions \ -H "Content-Type: application/json" \ -d '{ "model": "/models/Qwen2.5-7B-Instruct", "prompt": "Introduce Bruce Lee in details", "max_tokens": 100, "temperature": 0, "stream": true }' ```
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