FlaskForge Studio

Schema
100%
Consolecommand + output
FlaskForge Studio ready.
Project Manager & Deployment

Project

Current project path

Open existing

project directory containing .builder

New project

new project directory
name
preset

Copy / Save As

destination directory

Portable deployment ZIP

Builds the generated Flask app and packages source, migrations, requirements, .env.example, Docker/Gunicorn files, plus install.sh and run.sh. Virtual environments and secrets are excluded.

Remote server

Uses your local OpenSSH ssh/scp. Authentication is via ssh-agent or an optional private-key path; FlaskForge does not store SSH passwords.

target name
environment
run mode
host
user
SSH port
app port
remote application directory private key path (optional)
reverse proxy
domain
HTTPS
Let's Encrypt email
health-check path
health attempts (2 sec apart)
systemd service name (optional) .env configuration for this deployment (not saved by FlaskForge). For authenticated production apps, set RATELIMIT_STORAGE_URL=redis://... for shared rate limiting.

    

Project history & branches

Undo/Redo handles short-term edits. Checkpoints are durable full-model snapshots. Branches are named checkpoint lines you can switch between.

current branch
checkpoint name
note
new branch name

Compare & selective merge

Compare the working copy, branch heads, or checkpoints. Select differences from the left/source version and cherry-pick them transactionally into the current working branch.

left / source
right / compare against
Choose two versions and compare.
Generated app preview checking…
Generated app log

Studio runs Flask's development server only. Starting/restarting the app never creates or applies database migrations.

New relationship
AI Provider & Model Settings

Configure the model FlaskForge Studio calls directly. OpenAI-compatible endpoints work with OpenAI, OpenRouter, LM Studio, Ollama, Cline-compatible gateways, and many self-hosted servers.

provider preset
protocol
base URL API key
model
temperature
top_p
max output tokens
request timeout (seconds)

Context & memory

number of previous sessions to include (0–10)

Generated source, .env files, credentials, virtual environments, and deployment secrets are not added to AI project context.

FlaskForge AI Assist
AI commands are never applied silently. Review the response and click Apply only when you want Studio to validate and apply them transactionally.