Model Forge

Model Forge is a QGIS plugin that helps you turn plain‑language descriptions of GIS workflows into editable Models. It is designed to make it easier to prototype, inspect and refine multi‑step geoprocessing without building every model node by hand. It is designed to arbitralily accept more LLM providers than IntelliGeo

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1. User guide

Installation

1. Install the plugin from the QGIS Plugin Manager (Plugins → Manage and Install Plugins).
2. After installation, open the panel from Plugins → Model Forge → Open Model Forge.
3. Configure your LLM backend in the Settings tab (URL, API key if needed, and model name).

Generate a model from text

1. Go to the Generate tab.
2. In Describe your workflow, write what you want to do, for example:
   “Buffer input points by 500 m, clip with the city boundary, then compute mean population per buffer.”
3. Optionally:
   • Set a Name and Group for the model.
   • Select one or more Context layers that describe your data.
   • Enable Two‑phase generation for complex, multi‑step workflows.
4. Click Generate Model.
5. When generation finishes, the plugin switches to the Model tab and shows the resulting model JSON.

Inspect and refine the model

In the Model tab:

• The Model JSON (editable) panel shows the generated workflow as JSON, with syntax highlighting.
• Use Rebuild model from JSON above after manual edits to rebuild the internal QGIS model object.
• Use Save .model3 to write the current model to a .model3 file that you can load from the standard Processing Model Designer.
• Use Open in Designer to open the model directly in the QGIS Model Designer with a pre‑computed layout.

Debug and improve

• Auto‑Repair (validation) validates the current JSON structure and sends a repair request to the LLM if issues are found.
• Send repair prompt lets you describe what to fix or improve (for example “add dissolve after clip” or “change the field name to pop_2020”).
  The plugin sends the current JSON plus your feedback to the LLM and updates the model JSON with the result.

Backend settings

In the Settings tab:

• Choose an LLM provider and model.
• Configure URL, API key, and “thinking level” (temperature).
• Configure how many Processing algorithms and providers are exposed as context for the LLM.
• Click Apply Settings to save the configuration to your QGIS profile. Settings are persisted across sessions.

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2. Developer notes

Repository layout

Key files and modules:

• model_forge.py
  QGIS plugin entry point. Registers the plugin, adds the toolbar/menu actions, and creates the main dock widget.
• forge_dock.py
  Dock widget wrapper that embeds the main ForgeWidget into a QGIS dock.
• forge_widget.py
  Main UI logic. Implements the Generate / Model / Settings tabs, wiring between buttons, LLM backend, context collector and model builder.
• llm_backend.py
  Thin abstraction over one or more LLM backends. Handles configuration (provider, URL, API key, model) and exposes methods:
  • generate_single_pass(description, name, group, context_text)
  • generate_plan(description, context_text)
  • generate_model_from_plan(plan, context_text)
  • repair_model(workflow_json, errors, context_text)
• context_collector.py
  Collects information about the current project and Processing algorithms to send as textual context to the LLM. Supports limiting the number of algorithms and selecting providers.
• model_builder.py
  Converts the workflow JSON into a QgsProcessingModelAlgorithm, creates inputs, algorithm components and connections.
• model_layout.py
  Computes positions for inputs and algorithm components (simple DAG layout) so the model opens in the Model Designer with a readable arrangement.
• resources.qrc / generated resources_rc.py
  Icon and other static assets.

Threads and background work

• LLM calls and model repair are run in background threads to keep the QGIS UI responsive.
• GenerateWorker(QThread) runs generation (single‑pass or two‑phase) and emits:
  • finished(dict) with the workflow JSON,
  • error(str) with an error message and traceback.
• RepairWorker(QThread) runs model repair requests in the same pattern.
• The main widget connects to these signals and updates the UI (buttons, progress bar, labels) on the main thread.

Settings and persistence

• The plugin uses QSettings with the prefix ModelForge/ to persist:
  • backend key, URL, API key, model name,
  • temperature,
  • algorithm catalog settings (max algorithms, provider flags).
• Settings are loaded once in ForgeWidget.__init__ and applied to the widgets in the Settings tab.

Model JSON schema

The plugin expects and produces a simple JSON structure:

• Top‑level keys:

  • "inputs": list of input definitions,
  • "algorithms": list of algorithm steps.

• Each algorithm has:

  • "id": unique identifier for the step,
  • "algorithm_id": Processing provider id (e.g. native:buffer),
  • "parameters": mapping of parameter name to values or references.

• Child outputs are expressed as:

  { "type": "child_output", "child_id": "some_step_id" }

  and are used to build connections between model components.

_validate_model in forge_widget.py performs basic structural checks (missing keys, duplicate ids, invalid child references) before attempting repair.

Extending the plugin

Feel free to suggest prompt, UI or other improvements