.

Dockerfile

@@ -108,6 +108,9 @@ RUN pip wheel \
     setproctitle uvloop sentencepiece triton pillow cachetools msgspec blake3 cloudpickle compressed-tensors einops openai py-cpuinfo dill partial_json_parser python-multipart torchao \
     -w /wheels
 
+# ── ✅ 打包 gradio UI 所需依赖 ────────────────────────────────────────────────
+RUN pip wheel gradio requests -w /wheels
+    
 ###############################################################################
 # Stage 2 ─ runtime：极简运行镜像，仅离线安装 wheel
 ###############################################################################
@@ -165,13 +168,15 @@ COPY ./Alibaba/Qwen3-14B-Base /root/.cradle/Alibaba/Qwen3-14B-Base
 HEALTHCHECK --interval=30s --timeout=2s --start-period=300s --retries=5 CMD curl -fs http://localhost:30000/health || exit 1
 
 # ---- 暴露端口 ----
-EXPOSE 30000
+EXPOSE 30000 30001
 
-# ---- 启动 SGLang 推理服务 ----
+# 安装 supervisor
-CMD ["python3", "-m", "sglang.launch_server", \
+RUN apt-get update && apt-get install -y supervisor && \
-     "--host", "0.0.0.0", \
+    mkdir -p /etc/supervisor/conf.d
-     "--port", "30000", \
+
-     "--model-path", "/root/.cradle/Alibaba/Qwen3-14B-Base/", \
+# 拷贝 supervisord 配置文件和 UI 脚本
-     "--tp", "2", \
+COPY ./meta_ui.py /app/meta_ui.py
-     "--api-key", "token-abc123", \
+COPY ./supervisord.conf /etc/supervisor/supervisord.conf
-     "--enable-metrics"]
+
+# 作为容器主进程运行 supervisor
+CMD ["/usr/bin/supervisord", "-c", "/etc/supervisor/supervisord.conf"]

meta_ui.py

@@ -0,0 +1,79 @@
+import gradio as gr
+import requests
+
+API_URL = "http://localhost:30000/v1/completions"
+API_KEY = "token-abc123"
+MODEL_NAME = "Qwen3-14b-base"
+
+# 构造 prompt：Base 模型靠拼接上下文
+def build_prompt(history, user_message):
+    prompt = ""
+    for user, bot in history:
+        prompt += f"User: {user}\nAssistant: {bot}\n"
+    prompt += f"User: {user_message}\nAssistant:"
+    return prompt
+
+# 主对话函数
+def chat(user_message, history, max_tokens, temperature):
+    prompt = build_prompt(history, user_message)
+
+    headers = {
+        "Authorization": f"Bearer {API_KEY}",
+        "Content-Type": "application/json"
+    }
+    payload = {
+        "model": MODEL_NAME,
+        "prompt": prompt,
+        "max_tokens": max_tokens,
+        "temperature": temperature,
+        "stop": ["\nUser:", "\nAssistant:"]
+    }
+
+    try:
+        response = requests.post(API_URL, headers=headers, json=payload, timeout=30)
+        result = response.json()
+        reply = result["choices"][0]["text"].strip()
+    except Exception as e:
+        reply = f"[请求失败] {e}"
+
+    return reply
+
+# 手动测试 API 功能
+def test_api_connection(max_tokens, temperature):
+    headers = {
+        "Authorization": f"Bearer {API_KEY}",
+        "Content-Type": "application/json"
+    }
+    payload = {
+        "model": MODEL_NAME,
+        "prompt": "Ping?",
+        "max_tokens": max_tokens,
+        "temperature": temperature
+    }
+
+    try:
+        resp = requests.post(API_URL, headers=headers, json=payload, timeout=10)
+        out = resp.json()["choices"][0]["text"].strip()
+        return f"✅ API 可用，响应: {out}"
+    except Exception as e:
+        return f"❌ API 请求失败: {e}"
+
+# Gradio 控件组合
+with gr.Blocks(title="Base 模型测试 UI") as demo:
+    gr.Markdown("# 💬 Base 模型对话界面")
+
+    with gr.Row():
+        max_tokens = gr.Slider(32, 1024, value=256, label="max_tokens")
+        temperature = gr.Slider(0.0, 1.5, value=0.7, step=0.05, label="temperature")
+        test_btn = gr.Button("🔁 测试 API 可用性")
+        test_output = gr.Textbox(label="API 测试结果", interactive=False)
+
+    chatbot = gr.ChatInterface(
+        fn=lambda msg, hist: chat(msg, hist, max_tokens.value, temperature.value),
+        title=None
+    )
+
+    test_btn.click(fn=test_api_connection, inputs=[max_tokens, temperature], outputs=test_output)
+
+# 启动服务
+demo.launch(server_name="0.0.0.0", server_port=30001)

supervisord.conf

@@ -0,0 +1,18 @@
+[supervisord]
+nodaemon=true
+logfile=/dev/stdout
+loglevel=info
+
+[program:sglang]
+command=python3 -m sglang.launch_server --host 0.0.0.0 --port 30000 --model-path /root/.cradle/Alibaba/Qwen3-14B-Base/ --tp 2 --api-key token-abc123 --enable-metrics
+autostart=true
+autorestart=true
+stdout_logfile=/dev/stdout
+stderr_logfile=/dev/stderr
+
+[program:ui]
+command=python3 /app/meta_ui.py --port 30001
+autostart=true
+autorestart=true
+stdout_logfile=/dev/stdout
+stderr_logfile=/dev/stderr