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Add files using upload-large-folder tool
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"""
id: assess
title: Assessment Helper
author: admin
description: Save the first attached file, read full content, and return it for analysis.
version: 0.1.0
license: Proprietary
"""
from typing import List, Dict, Any, Optional
class Tools:
def run(
self,
dest_path: str = "/data/adaptai/input/attached.txt",
file_id: Optional[str] = None,
__files__: List[Dict[str, Any]] = [],
) -> dict:
"""
Save the first attachment (or provided file_id) to dest_path, then read and return full content.
Returns: { ok, path, bytes, content }
"""
# Lazy import of plugin loader to avoid seed-time issues
from open_webui.utils.plugin import load_tool_module_by_id
# Save
attachments, _ = load_tool_module_by_id("attachments")
save_args = {"dest_path": dest_path}
if file_id:
save_args["file_id"] = file_id
saved = attachments.save(__files__=__files__, **save_args)
if not saved.get("ok"):
return {"ok": False, "error": saved.get("error", "save failed")}
# Read
files, _ = load_tool_module_by_id("files")
read = files.read(path=dest_path)
if "content" not in read:
return {"ok": False, "error": read}
return {
"ok": True,
"path": dest_path,
"bytes": len(read.get("content", "").encode("utf-8")),
"content": read.get("content", ""),
}
def scaffold(self) -> dict:
"""
Return a standard assessment scaffold (section headings) the LLM can fill in.
"""
sections = [
"Executive Summary",
"Objectives & Scope",
"Assumptions & Dependencies",
"Strengths & Gaps",
"Risks & Mitigations",
"Stakeholders & Roles",
"Architecture / Workflow",
"Timeline & Acceptance Criteria",
"Resource Estimate (skills, tools, infra)",
"Quick Wins (next 48h)",
"Open Questions",
"Recommended 1–2 Week Plan",
]
template = "\n\n".join([f"## {h}\n- " for h in sections])
return {"template": template}