feat: initialize experimental agent repo

2026-06-30 14:03:49 +08:00
commit e83ac54a9e
75 changed files with 11690 additions and 0 deletions
@@ -0,0 +1,44 @@
+import { tool } from "@opencode-ai/plugin";
+
+const internalBaseUrl =
+  process.env.TJWATER_AGENT_INTERNAL_BASE_URL ?? "http://127.0.0.1:8787";
+const internalToken = process.env.TJWATER_AGENT_INTERNAL_TOKEN ?? "";
+
+export default tool({
+  description:
+    "将本地 JSON 渲染数据文件存储到受控路径，返回可供 render_junctions 使用的 render_ref（res-...）。前置步骤：先准备好符合 render_junctions 数据结构的 JSON 文件 { node_area_map, area_ids?, area_colors? }，写入本地路径后再调用本工具传入该路径，获取 render_ref 后传给 render_junctions 完成前端渲染。",
+  args: {
+    reason: tool.schema
+      .string()
+      .describe(
+        "为何需要将此本地渲染数据持久化为 render_ref，以便后续通过 render_junctions 渲染到前端。",
+      ),
+    file_path: tool.schema
+      .string()
+      .describe(
+        "本地 JSON 文件的绝对路径，内容为 render_junctions 所需的数据结构 { node_area_map, area_ids?, area_colors? }。",
+      ),
+  },
+  async execute(args, context) {
+    const response = await fetch(
+      `${internalBaseUrl}/internal/tools/store-render-ref`,
+      {
+        method: "POST",
+        headers: {
+          "Content-Type": "application/json",
+          "x-agent-internal-token": internalToken,
+        },
+        body: JSON.stringify({
+          session_id: context.sessionID,
+          file_path: args.file_path,
+        }),
+      },
+    );
+
+    const text = await response.text();
+    if (!response.ok) {
+      throw new Error(text);
+    }
+    return text;
+  },
+});