update README with Qwen2.5 and manual start

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ViperEkura 2026-06-14 19:21:48 +08:00
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1 changed files with 42 additions and 10 deletions

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# GLM-4.6V-Flash Server
# ToolAgent
基于 vLLM 的 OpenAI 兼容 API 服务。
基于 vLLM + opencode 的 AI 编程助手服务。
## Requirements
- NVIDIA GPU with ≥44 GiB memory (e.g. L20)
- NVIDIA GPU with ≥24 GiB memory (e.g. L20)
- CUDA driver ≥570.x (CUDA 12.8)
- Python 3.12
@ -25,21 +25,53 @@ pip install transformers==5.12.0
## 启动
```bash
python server.py
```
或指定 GPU
### 一键启动
```bash
CUDA_VISIBLE_DEVICES=2 python server.py
./start.sh # 前后端同时启动
./start.sh backend # 仅后端
./start.sh frontend # 仅前端
./start.sh all 3 # 指定 GPU 3
```
### 手动启动
#### 后端 (vLLM)
```bash
source /home/kxqandccx/miniconda3/bin/activate agent_use
CUDA_VISIBLE_DEVICES=2 nohup python server.py > server.log 2>&1 &
```
模型加载约 30-60 秒。日志在 `server.log`
#### 前端 (opencode web)
```bash
cd /home/kxqandccx/kxq/llm_tool_use
nohup opencode web --port 3000 > web.log 2>&1 &
```
访问 `http://127.0.0.1:3000/`
## 验证
```bash
# 查看可用模型
curl http://localhost:8000/v1/models
# 文本对话
curl http://localhost:8000/v1/chat/completions \
-H "Content-Type: application/json" \
-d '{"model":"GLM-4.6V-Flash","messages":[{"role":"user","content":"hello"}]}'
-d '{"model":"Qwen2.5-7B-Instruct","messages":[{"role":"user","content":"你好"}]}'
# 工具调用
curl http://localhost:8000/v1/chat/completions \
-H "Content-Type: application/json" \
-d '{
"model":"Qwen2.5-7B-Instruct",
"messages":[{"role":"user","content":"北京天气"}],
"tools":[{"type":"function","function":{"name":"get_weather","description":"获取天气","parameters":{"type":"object","properties":{"city":{"type":"string"}},"required":["city"]}}}],
"tool_choice":"auto"
}'
```