[deploy] Oracle 环境部署 + 模型基准测试 + OllamaAdapter 优化

- Oracle 依赖安装: flask/gunicorn/requests/PyYAML/opencv/numpy 全部成功
- FAM-Edge 全部 8 个模块导入验证 PASS
- llava-phi3 基准测试: 冷启动 109s, 预热无限制 13.35s, 预热+num_predict=30 仅 4.34s PASS
- OllamaAdapter 新增 num_predict 可配置参数 (默认 500)
- config.yaml.example 新增 num_predict 配置项
- 创建 PROGRESS.md 进度追踪文档

fam-edge/src/fam_edge/model_adapters/ollama_adapter.py

@@ -24,6 +24,7 @@ class OllamaAdapter(BaseModelAdapter):
         self.base_url = config.get('base_url', 'http://localhost:11434')
         self.model_name = config.get('model_name', 'llava-phi3')
         self.timeout = config.get('timeout', 240)
+        self.num_predict = config.get('num_predict', 500)
         cb_cfg = config.get('circuit_breaker', {})
         self._cb = CircuitBreaker(
             threshold=cb_cfg.get('threshold', 5),
@@ -84,7 +85,7 @@ class OllamaAdapter(BaseModelAdapter):
                     "prompt": prompt,
                     "images": images,
                     "stream": False,
-                    "options": {"temperature": 0.2, "top_p": 0.8}
+                    "options": {"temperature": 0.2, "top_p": 0.8, "num_predict": self.num_predict}
                 },
                 timeout=self.timeout
             )