support llamacpp backends now (#85)

Author: wilsonwang371

Cargo.lock

@@ -34,7 +34,7 @@ axum = "0.8"
 tower = "0.4"
 tower-http = { version = "0.5", features = ["cors", "timeout"] }
 hyper = { version = "1", features = ["client", "http1"] }
-reqwest = { version = "0.11", features = ["json"] }
+reqwest = { version = "0.11", features = ["json", "stream"] }
 
 # Configuration management / 配置管理
 figment = { version = "0.10", features = ["toml", "env"] }

Cargo.toml

@@ -109,10 +109,10 @@ SPEARlet can import models from a local Ollama on startup and materialize them a
 
 ## Web Admin
 
-Web Admin provides Nodes/Tasks/Files/Backends pages.
+Web Admin provides Nodes/Tasks/Files/AI Models pages.
 
-- Backends supports an aggregated view across nodes.
-- Clicking a backend row opens a detail dialog with Raw JSON.
+- AI Models provides an aggregated view across nodes, split into Local/Remote.
+- Local AI Models supports creating/deleting model deployments on a node.
 
 Docs:
 

README.md

@@ -109,10 +109,10 @@ SPEARlet 支持在启动时从本机 Ollama 导入模型并生成对应的 LLM b
 
 ## Web Admin
 
-Web Admin 提供 Nodes/Tasks/Files/Backends 等页面。
+Web Admin 提供 Nodes/Tasks/Files/AI Models 等页面。
 
-- Backends 提供跨节点聚合视图
-- 点击某个 backend 行会弹出详情窗口（Raw JSON）
+- AI Models 提供跨节点聚合视图，并区分 Local/Remote
+- Local AI Models 支持在节点上创建/删除 model deployment
 
 文档：
 

README.zh.md

@@ -23,6 +23,7 @@ fn main() -> Result<(), Box<dyn std::error::Error>> {
                 "proto/sms/task.proto",
                 "proto/sms/placement.proto",
                 "proto/sms/mcp_registry.proto",
+                "proto/sms/model_deployment_registry.proto",
             ],
             &["proto"],
         )?;