tripocli v2.0.0：Tripo AI 3D 生成与加工 CLI（面向 Agent 与开发者，纯 Python 标准库、零第三方依赖）

覆盖文生 3D、图生 3D、多视图、批量生成，以及重拓扑、绑定、动画、智能分割、
纹理、PBR、智能 UV、部件补全、格式导出与下载。

代码组织：一个功能一个模块（tripo/features/），入口薄壳 tripocli.py。

tripo/features/batch.py

@@ -0,0 +1,76 @@
+"""批量图生 3D — batch image to model.
+
+    tripocli batch -i a.png,b.png,c.png --wait -o ./out
+
+Verified against the live API: the batch endpoint takes ``image`` as an *array*
+(the field is singular, not ``images``) and answers with an array of
+``{project_id, operator_id}`` — one entry per submitted image.
+"""
+
+import os
+
+from . import _common
+
+NAME = "batch"
+HELP = "批量图生 3D（多张图片一次提交，返回多个任务）"
+
+
+def add_arguments(parser):
+    parser.add_argument("-i", "--images", required=True, help="逗号分隔的本地图片路径")
+    _common.add_generation_options(parser)
+    _common.add_wait_options(parser, "输出目录（每个结果保存为 <project_id>.glb）")
+
+
+def run(ctx):
+    args = ctx.args
+    paths = [p.strip() for p in args.images.split(",") if p.strip()]
+    if not paths:
+        raise ValueError("--images 至少需要一张图片")
+
+    images = []
+    for path in paths:
+        ctx.out.line(f"📤 上传并审核图片: {path}")
+        images.append(ctx.client.upload_image(path))
+
+    body = _common.generation_body(args)
+    results = ctx.client.get_data(
+        "POST",
+        "/v2/studio/operation/batch_image_to_model",
+        body={
+            "image": images,
+            "model_version": body["model_version"],
+            "face_limit": body["face_limit"],
+            "quad": body["quad"],
+            "texture": body["texture"],
+            "visibility": body["visibility"],
+        },
+    )
+    results = results or []
+
+    if not args.wait:
+        ctx.out.data(
+            results,
+            human=lambda: (
+                ctx.out.line(f"✅ 已提交 {len(results)} 个任务"),
+                *[ctx.out.line(f"  project {r.get('project_id')}  operator {r.get('operator_id')}") for r in results],
+            ),
+        )
+        return results
+
+    out_dir = args.output or "."
+    payload = []
+    for item in results:
+        project_id = item.get("project_id")
+        wait_task = _common.wait_and_report(ctx, item.get("operator_id"))
+        model_url, _detail = _common.fetch_model_url(ctx, project_id)
+        target = None
+        if model_url:
+            target = os.path.abspath(os.path.join(out_dir, f"{project_id}.glb"))
+            ctx.client.download(model_url, target)
+        payload.append({"task": wait_task, "project_id": project_id, "model_url": model_url, "output_file": target})
+
+    ctx.out.data(
+        payload,
+        human=lambda: [ctx.out.line(f"✨ {p['output_file'] or p['project_id']}") for p in payload],
+    )
+    return payload