scitex-app 0.1.0

SciTeX App SDK — write-once interface for local + cloud apps

SciTeX App (scitex-app)

Write-once interface for local + cloud SciTeX apps

Full Documentation · pip install scitex-app

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Problem

SciTeX apps (like FigRecipe, Writer, Stats) need to work in three environments: standalone local (pip install), cloud (scitex.ai), and self-hosted. Today, each environment requires different file I/O code — pathlib locally, HTTP REST calls on cloud. This means maintaining two codebases or tightly coupling apps to one deployment mode.

Solution

SciTeX App provides a unified file storage SDK with a single FilesBackend protocol. Apps call get_files() and get back a backend that works identically regardless of environment. Write your app once — it runs everywhere.

Environment	Backend	How it works
Local	FileSystemBackend	pathlib-based, zero dependencies
Cloud	CloudFilesBackend	HTTP REST via SCITEX_API_TOKEN (injected at runtime)
Custom	register_backend()	S3, GCS, or any storage you need

_{Table 1. Three deployment modes. The SDK auto-detects cloud when SCITEX_API_TOKEN is set; otherwise defaults to local filesystem.}

Seven Operations

Every backend implements the same 7-method protocol:

Method	Description
read(path)	Read file content (text or binary)
write(path, content)	Write content, creating parent dirs
list(directory)	List files with optional extension filter
exists(path)	Check if a file exists
delete(path)	Delete a file
rename(old, new)	Rename/move a file
copy(src, dest)	Copy a file

_{Table 2. The FilesBackend protocol. Uses typing.Protocol for structural subtyping — backends just implement the methods, no inheritance required.}

Installation

Requires Python >= 3.10. Zero dependencies — pure stdlib.

pip install scitex-app

SciTeX users: pip install scitex already includes App SDK. Access via scitex.app.

Quickstart

from scitex_app.sdk import get_files

# Local filesystem (default)
files = get_files("./my_project")
content = files.read("config/settings.yaml")
files.write("output/result.csv", csv_text)

# List files with filter
yaml_files = files.list("config", extensions=[".yaml"])

# Cloud mode (auto-detected via SCITEX_API_TOKEN)
import os
os.environ["SCITEX_API_TOKEN"] = "your-token"
cloud_files = get_files()  # routes through cloud REST API

Three Interfaces

Python API

from scitex_app.sdk import get_files, register_backend, FilesBackend

files = get_files("./project")        # auto-detect backend
files.read("data.csv")                # read file
files.write("out.txt", "hello")       # write file
files.list(extensions=[".yaml"])       # list with filter
files.exists("config.yaml")           # check existence
files.delete("temp.txt")              # delete file
files.rename("old.txt", "new.txt")    # rename/move
files.copy("src.txt", "dst.txt")      # copy file

Full API reference

CLI Commands

scitex-app --help-recursive              # Show all commands
scitex-app read <path>                   # Read a file
scitex-app list [directory]              # List files
scitex-app exists <path>                 # Check existence
scitex-app list-python-apis              # List Python API tree
scitex-app mcp list-tools                # List MCP tools

Full CLI reference

MCP Server — for AI Agents

AI agents can read, write, and manage files through the unified SDK.

Tool	Description
app_read_file	Read a file through the SDK backend
app_write_file	Write content to a file
app_list_files	List files in a directory
app_file_exists	Check if a file exists
app_delete_file	Delete a file
app_copy_file	Copy a file
app_rename_file	Rename/move a file

_{Table 3. Seven MCP tools mirroring the FilesBackend protocol. All tools accept JSON parameters and return JSON results.}

scitex-app mcp start

Full MCP specification

Part of SciTeX

App SDK is part of SciTeX. When used inside the SciTeX framework, the SDK is available via scitex.app:

import scitex

# Access files through the unified SDK
files = scitex.app.get_files("./project")
content = files.read("recipes/scatter.yaml")
files.write("output/figure.png", png_bytes)

Apps built with scitex-app work in all three modes:

• Standalone: pip install figrecipe runs locally with filesystem backend
• Cloud: Deploy to scitex.ai — cloud backend injected automatically
• Self-hosted: Run your own instance with custom backends

The SciTeX ecosystem follows the Four Freedoms for researchers:

Four Freedoms for Research

0. The freedom to run your research anywhere — your machine, your terms.
1. The freedom to study how every step works — from raw data to final manuscript.
2. The freedom to redistribute your workflows, not just your papers.
3. The freedom to modify any module and share improvements with the community.

AGPL-3.0 — because research infrastructure deserves the same freedoms as the software it runs on.

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