pocketflow-creator 0.3.0

RAD-style visual designer scaffold for PocketFlow LLM workflows

PocketFlow Creator

A RAD-style visual designer for building PocketFlow LLM workflows and agentic applications. Design flows on a live canvas, run them against Ollama or a mock provider, inspect shared-store state step-by-step, and export a runnable Python package — all from one IDE-like GUI built on PySide6.

Note: PocketFlow Creator is not an official PocketFlow project and is not affiliated with, endorsed by, or maintained by the PocketFlow project.

Status — v0.3.0 (comprehensive standalone support)

Milestones M0–M17 complete. 178 tests, all passing. NEW: 76 node types with full standalone Python script generation. Export graphs as self-contained scripts with embedded providers and zero external dependencies.

---

Features

Visual Graph Designer

• Drag nodes from the Component Palette onto the canvas
• Wire action ports to create directed edges between nodes
• 90+ built-in node types with purpose-drawn icons across 20 categories:
  • Flow Control: Start, Stop, Basic, Router, Subflow
  • LLM / AI: LLM Prompt, JSON LLM, Classifier, Agent, RAG, Judge
  • AI / Reasoning: Chain of Thought, Majority Vote, Supervisor, Debate Advocate, Debate Judge
  • Web / Search: Web Search, Web Scrape, API Call
  • Data / Vector: Text Chunk, Embed, Vector Index, Vector Retrieve
  • Database / SQL: DB Schema, NL to SQL, SQL Execute
  • Voice / Audio: Speech to Text, Text to Speech
  • Hardware I/O: USB Serial In/Out, Audio Input/Output, Video Input/Output, Webcam
  • Document / Vision: PDF Extract, Image Vision, Data Validate
  • Code / Execution: Code Gen, Code Exec, Test Gen
  • Data Processing: Map, Reduce, Condition, Loop Counter, Transform, Merge
  • Calendar: Calendar Read, Calendar Write
  • MCP / Agent Protocol: MCP Tool, A2A Send, A2A Receive
  • Observability / Utility: Log, Timer, Cache, Trace
  • Data Structures / Memory: Registry, Stack Push/Pop, Queue Enqueue/Dequeue, Local Memory
  • Security: Secret (env/dotenv/AWS/Vault)
  • Human-in-the-Loop: Human Review, Human Input
  • Batch / Async: Batch, Async, Async Batch, Async Parallel Batch, Shell Command
  • I/O: File Reader, File Writer, Python Tool
  • System / Shell: TTY Serial, Spreadsheet (CSV/TSV/Excel)
  • Networking: Socket (TCP/UDP), WebSocket, Webhook Trigger
  • AI / LLM Utilities: Context Compact (5 strategies), Conversation History
  • Text / Data Processing: Regex, Template Render, JSON Parse, List Operations, String Operations
  • Resilience: Retry (exponential backoff), Rate Limiter
  • Messaging: Email Send, Email Read, Notification (Slack/Discord/Teams/Telegram)
  • Security: Secret (env/dotenv/AWS/Vault)
• Multi-action output ports — one port per action, node height grows dynamically
• Input port label shows input_key property; action labels rendered inside the node body

Auto Arrange (Ctrl+Shift+L)

• Three layout algorithms: Layered BFS, Grid, Row×Column, Force-directed spring-embedder
• Three connector styles: Straight, Curved (quadratic Bezier), Orthogonal (right-angle)
• Settings dialog before each run; settings persisted per-project in .pfcproj.yaml
• Operation is fully undoable

Undo / Redo (Ctrl+Z / Ctrl+Y)

Snapshot-based — covers add node, delete node/edge, add edge, edit property, change edge action, move node, and Auto Arrange.

Object Inspector

Live property grid for selected nodes and edges. Edits sync back to the model immediately and trigger re-validation.

Validation

GraphValidator checks: unique IDs, start node present, edge endpoints valid, actions declared. Error badges appear on canvas nodes. Problems tab lists all issues with error codes.

Editors

• Python editor with syntax highlighting and # NODE_START / # NODE_END markers for bidirectional canvas ↔ code sync
• Markdown editor with live preview
• YAML editor with schema-driven validation feedback
• Shared Store Designer — key/type/default table, serializes to project YAML

Run and Debug

• Run Active Flow — executes the active graph with MockProvider or OllamaProvider; populates Run Log and Shared Store tabs; saves a timestamped JSON trace
• Debug Active Flow — step-through debugger with breakpoints (F9), pause/resume/stop
• Run Tests — runs pytest as a subprocess and populates Test Results tab
• Prompt Preview tab shows the resolved prompt for any selected LLM node

Code Generation and Export

• Ctrl+G: Generate Code — creates standalone Python scripts in generated_scripts/ folder (or temp directory if no project). Ready to run immediately.
• Standalone Python script generation — export graphs as self-contained .py files:
  • Embedded provider implementations (Ollama, OpenAI, Anthropic, Gemini, DeepSeek)
  • Complete node dispatch logic with type-based execution
  • Zero external dependencies beyond Python stdlib (optional libs detected at runtime)
  • Environment variable support for API keys and secrets
  • One .py file runs the entire flow independently
  • Text I/O for interactive nodes — stdin/stdout/stderr for Human Input/Review nodes
  • Works in CI/CD pipelines, shell scripts, and piped environments
  • Graceful EOF handling for non-interactive execution
• File > Export PocketFlow Project — writes a full runnable Python package: generated/, custom/ (never overwritten on re-export), tests/, standalone/, main.py
• File > Export Standalone Archive — creates a complete, ready-to-share package:
  • All generated scripts in scripts/ directory
  • requirements.txt with pip dependencies and pinned versions
  • setup.sh / setup.bat — auto-create .venv and install dependencies
  • run.sh / run.bat — execute scripts with venv pre-activated
  • README.md — usage guide, I/O redirection, environment variables, troubleshooting
  • Everything packed in a .zip file, no unpacking needed on most systems
• Project > Export Graph Image — PNG or SVG render of the canvas scene
• Project > Export Project Report — Markdown summary of nodes, edges, validation status
• Project > Data Flow Report — per-node reads/writes and shared-store key lifecycle

Custom Node Types

• Node > New Custom Node Type — wizard with three tabs (Definition, Actions, Properties) writes a YAML definition + Python skeleton
• Node Type Library Manager — list, import, and version custom node packages
• Inspector shows inherited properties from the type definition

Help System

• Help > PocketFlow Creator Help (F1) — integrated HelpBrowser with 21 Markdown pages, back/forward/home navigation
• Context-sensitive ? buttons in every dialog
• Help pages: getting started, first flow, about PocketFlow, about Creator, tutorials (4 parts), 11 context pages (canvas, inspector, palette, explorer, options, …)

Internationalisation

Language selector in Tools > Options; English, Spanish, French, German, Chinese, Japanese .qm files included.

---

Prerequisites

Requirement	Version
Python	≥ 3.10
PySide6	≥ 6.6
PyYAML	≥ 6.0
jsonschema	≥ 4.20
markdown	≥ 3.5
jinja2	≥ 3.1

Optional for running LLM flows: Ollama running locally on port 11434.

---

Quick Start

Linux / macOS

cd PocketFlowCreator
./scripts/setup-prj.sh     # create venv, install deps
./scripts/run_app.sh       # launch the GUI

Windows (PowerShell)

cd PocketFlowCreator
.\scripts\setup-prj.ps1
.\scripts\run_app.ps1

Or directly with pip

python -m venv .venv
source .venv/bin/activate   # Windows: .venv\Scripts\activate
pip install -e ".[dev]"
pocketflow-creator          # or: python -m pocketflow_creator

---

Provider Setup

PocketFlow Creator supports multiple LLM providers. Configure them via Tools → Provider Manager.

Quick Setup

To use Ollama locally (recommended for getting started):

1. Install Ollama from ollama.ai
2. Start Ollama: ollama serve
3. Pull a model: ollama pull qwen2.5-coder:14b
4. In PocketFlow Creator: Tools → Provider Manager → + Add
   • Name: "Local Ollama"
   • Type: "Ollama (local)"
   • Base URL: http://localhost:11434 (auto-filled)
   • Model: qwen2.5-coder:14b (auto-filled)
5. Test: Click "Test Connection" → should show ✓ Connection successful

To use cloud providers (OpenAI, Claude, etc.):

1. Generate an API key from your provider
2. In PocketFlow Creator: Tools → Provider Manager → + Add
   • Name: e.g., "OpenAI Production"
   • Type: Select your provider
   • Enter your API Key
3. Test: Click "Test Connection"

For detailed setup instructions for all providers, custom ports, environment variables, and troubleshooting, see docs/13_provider_setup.md.

---

Running Tests

python -m pytest            # all 178 tests
./scripts/test.sh           # same, via script

Tests run headless (no display required) using QT_QPA_PLATFORM=offscreen.

GitHub Actions tests run on Ubuntu across Python 3.10–3.13. To test locally on macOS or Windows:

python -m pytest -v         # run full test suite
source .venv/bin/activate   # activate venv (Windows: .venv\Scripts\activate)
pocketflow-creator          # launch app

---

Project Layout

PocketFlowCreator/
├─ src/pocketflow_creator/
│   ├─ app/
│   │   ├─ main.py              MainWindow + AutoArrangeDialog + all inline dialogs
│   │   ├─ canvas.py            NodeItem, EdgeItem, GraphScene, GraphView, PaletteWidget
│   │   ├─ commands.py          GraphSnapshotCommand (undo/redo)
│   │   ├─ editors.py           PythonHighlighter, YamlHighlighter
│   │   ├─ node_type_wizard.py  NodeTypeWizard (3-tab dialog)
│   │   ├─ help_browser.py      HelpBrowser, open_help()
│   │   └─ code_manager.py      canvas ↔ .py file sync
│   ├─ model/
│   │   ├─ graph_model.py       GraphModel, NodeModel, EdgeModel
│   │   ├─ node_type.py         NodeTypeDefinition
│   │   └─ project.py           ProjectModel (includes auto_arrange field)
│   ├─ generation/
│   │   ├─ python_generator.py  Jinja2 template-based code generator
│   │   ├─ exporter.py          Full package export with custom/ guard
│   │   ├─ report.py            Markdown project report
│   │   └─ dataflow_report.py   Shared-store data-flow analysis
│   ├─ runtime/
│   │   ├─ providers.py         LLMProvider, MockProvider, OllamaProvider
│   │   └─ runner.py            FlowRunner, RunTrace, StepController
│   ├─ validation/
│   │   └─ graph_validator.py   GraphValidator (PFCE error codes)
│   ├─ graph_io.py              GraphLoader, GraphSaver
│   ├─ project_io.py            ProjectLoader, ProjectSaver
│   ├─ templates/               Jinja2 .j2 templates for code generation
│   ├─ help/                    21 Markdown help pages + context/ + tutorials/
│   └─ translations/            .ts and .qm files (en, es, fr, de, zh, ja)
├─ tests/                       177 tests (all passing)
├─ examples/document_summarizer/ Example PocketFlow project
├─ docs/                        13 design/spec documents
├─ scripts/                     setup, run, test, lint, format, package scripts
├─ pyproject.toml
└─ CHANGELOG.md

---

Keyboard Shortcuts

Shortcut	Action
Ctrl+N	New Project
Ctrl+O	Open Project
Ctrl+S	Save
Ctrl+Shift+S	Save All
Ctrl+Z	Undo
Ctrl+Y	Redo
Ctrl+G	Generate Code
Ctrl+Shift+V	Validate Project
Ctrl+Shift+L	Auto Arrange…
Ctrl+0	Zoom to Fit
Ctrl++	Zoom In
Ctrl+-	Zoom Out
Ctrl+Shift+Z	Zoom to Selected Node
Ctrl+Scroll	Canvas zoom
Middle-drag / Space-drag	Canvas pan
Delete	Delete selected node/edge
F9	Toggle Breakpoint
F1	Help

---

Development

./scripts/lint.sh            # ruff + mypy
./scripts/format.sh          # ruff format
./scripts/package.sh         # PyInstaller standalone binary

Lint policy: 0 ruff errors, 0 mypy errors. Pyright "possibly unbound" warnings in try/except import blocks are expected false positives — not real errors.

---

License

MIT — see LICENSE.