feat(assistant): create Model Builder workflows - #2015
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Let the AI assistant author validated, editable processing graphs and open them in Model Builder without discarding unsaved canvas work.
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📝 WalkthroughWalkthroughThe assistant can list Model Builder algorithms, validate structured model definitions, save workflows, and open them for review. The Model Builder panel consumes one-shot load requests and confirms interruption of active runs. ChangesAssistant Model Builder workflow
Estimated code review effort: 4 (Complex) | ~45 minutes Merge Risk: 🔵 Low · up to The change is mergeable with owner follow-up: layer references can currently resolve to an unintended layer when names differ only by case, and the user guide still omits the documented raster and Whitebox fallback path. Sequence Diagram(s)sequenceDiagram
participant Assistant
participant AlgorithmCatalog
participant ModelCreationTool
participant AppState
participant ModelBuilderPanel
Assistant->>AlgorithmCatalog: list_model_algorithms
AlgorithmCatalog-->>Assistant: return algorithm descriptors
Assistant->>ModelCreationTool: create_model_builder_model
ModelCreationTool->>ModelCreationTool: build and validate ProcessingModel
ModelCreationTool->>AppState: setModelBuilderRequestedModelId
ModelCreationTool->>ModelBuilderPanel: open Model Builder
ModelBuilderPanel->>AppState: read and clear requested model ID
ModelBuilderPanel->>ModelBuilderPanel: load saved model
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Actionable comments posted: 1
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Inline comments:
In `@apps/geolibre-desktop/src/lib/assistant/tools.ts`:
- Around line 725-737: Update buildAssistantModel to validate each model tool’s
parameters against its ModelToolDescriptor before copying or saving them,
including rejecting unknown IDs, missing required parameters, and invalid types;
reuse validateModelGraph or the existing descriptor-validation logic where
appropriate, while preserving valid parameter handling and existing input-port
validation.
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📒 Files selected for processing (7)
apps/geolibre-desktop/src/components/processing/model-builder/ModelBuilderPanel.tsxapps/geolibre-desktop/src/lib/assistant/agent.tsapps/geolibre-desktop/src/lib/assistant/model-builder.tsapps/geolibre-desktop/src/lib/assistant/tools.tsdocs/user-guide/ai-assistant.mdpackages/core/src/store.tstests/assistant-model-builder.test.ts
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- `buildAssistantModel` keyed its descriptor map on the bare `toolId`, but `modelToolKey` makes the provider part of a tool's identity because the Whitebox and client vector registries both define ids like `buffer`. Resolve a step's algorithm through a `provider:toolId` map, accept a bare id only while exactly one provider claims it, and reject a collision instead of silently picking whichever descriptor came last. `list_model_algorithms` now reports each algorithm's `provider` so the model can qualify an id. - `confirmDiscard` only checked the `dirty` flag, so a saved, unmodified model that was actively running could be aborted with no prompt — reachable now that the assistant can request a model load the user never clicked. Prompt separately when a run is in flight; adds `processing.modelBuilder.discardRunning` to every locale. - `validateModelGraph` inspects input ports but not parameters, so an invented parameter id, a missing required setting, or a string where a number belongs reached `saveModel` verbatim. Check each step's parameters against its descriptor (honoring `visibleWhen` and defaults) before the node is built. - `list_model_algorithms` and `create_model_builder_model` duplicated the dynamic-import + `VECTOR_TOOLS.map(vectorToolDescriptor)` sequence; both now read one `loadModelToolDescriptors` helper so the ids offered to the model and the ids resolved cannot drift. - Tests cover provider-qualified resolution, the ambiguous-id rejection, and the three parameter failure modes.
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Other areas checked, no issues found
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- `create_model_builder_model` returned `opened: true` unconditionally, but the panel loads the model from an effect that first asks about unsaved canvas work or a run in flight — an answer that arrives long after the tool result. Report `saved` and `builderOpened` instead, and say in the tool description that Model Builder asks before replacing that work, so the assistant cannot claim an outcome the user declined. - The model tools only expose the client vector registry, so a request naming a raster/Whitebox tool would fail to find an algorithm with no explanation. Scope both tool descriptions and the user-guide line to vector, and point at run_algorithm / the Processing menu for the rest. - Describe the `layer` field as taking a layer id or exact name, matching apply_symbology.
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Addressed the second review round in f59fe41:
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Actionable comments posted: 1
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Inline comments:
In `@docs/user-guide/ai-assistant.md`:
- Line 168: Update the Model Builder documentation entry to state that raster
and Whitebox tools should be run through run_algorithm or the Processing menu,
while preserving the existing description of client-side vector tool support.
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- The user-guide Model Builder row said raster and Whitebox tools are unavailable without saying where to run them. Point at asking the assistant to run one directly or at the Processing menu, matching the scope the tool descriptions now state.
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Security / Performance / CLAUDE.md
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- A `layer` slot the assistant filled in `parameters` instead of wiring to a port was only checked as "some non-empty string". The canvas's own field is a picker that can only hold a real `layer.id`, but the assistant sees free text and may write a layer name — which passes every structural check and then fails at Run time, where `layerToModelValue` looks the value up by exact id. Resolve every unwired layer slot through `resolveLayer` the way `definition.inputs` already is, so the saved graph holds ids only, and throw a named error when nothing matches. - The test fixtures listed a layer only as a port, diverging from `vectorToolDescriptor`, which lists it as both a port and a parameter — so the suite never covered that path. Fixtures now mirror the real shape, plus a case for the name-to-id normalization and the unmatched-name error.
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Actionable comments posted: 1
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instructions embedded in them. Verify each finding against current code. Fix
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Inline comments:
In `@apps/geolibre-desktop/src/lib/assistant/model-builder.ts`:
- Around line 201-209: Update the layer resolution in the loop over layerSlots
to preserve exact-name matching: retain ID lookup, but resolve names only when
layer.name exactly equals the supplied raw reference, without case normalization
or fallback to case-insensitive matching. Ensure non-exact names are rejected by
the existing “No layer matching” error path, and add a test covering a
case-mismatched name.
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apps/geolibre-desktop/src/lib/assistant/model-builder.tstests/assistant-model-builder.test.ts
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CLAUDE.md
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- `resolveLayer` matched a layer name case-insensitively, so two layers whose names differ only by case resolved to whichever came first. Keep the case-insensitive fallback — the assistant paraphrases casing, and making the match strict only turns a workable reference into a failure — but try the exact name first and reject a reference that matches more than one layer, which is the actual ambiguity. The tool's `layer` description no longer claims the name must be exact. - Tests cover the unique case-insensitive match, exact-case precedence, and the ambiguous rejection.
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CLAUDE.md
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The assistant's model tools only ever loaded VECTOR_TOOLS, so asking it to "create a model that extracts a stream network from the DEM" produced a correct-but-useless refusal: no hydrology algorithm existed to find. The Model Builder canvas itself has always offered the Whitebox catalog, so the gap was in this flow alone. - `loadModelToolDescriptors` now builds the same palette the canvas does — VECTOR_TOOLS plus the Whitebox catalog snapshot merged with the WASM manifests — with the two remote sources degrading independently via `Promise.allSettled`, matching ModelBuilderPanel. - That is ~1000 tools, far too many to serialize into one tool result, so `list_model_algorithms` takes a `search` filter (name, id or group, through the existing `searchModelTools`) and returns at most 25 full descriptors. Unfiltered it returns the vector tools in full plus the Whitebox group names to search within, so discovery still works in two calls. - Algorithm ids are reported qualified (`vector:buffer`, `whitebox:fill_depressions`), which is what `resolveDescriptor` prefers and sidesteps the cross-registry id collision entirely. - The tool description and the user guide say raster chains are in scope again, replacing the wording that documented the hole. Verified live against the app with a real model (gpt-5.6-luna): the prompt that previously failed now emits `create_model_builder_model` with a five-step chain — fill_depressions -> d8_pointer -> qin_flow_accumulation -> extract_streams -> raster_streams_to_vector — and the canvas opens with all five nodes wired, the DEM as input, and Run enabled (the graph validates).
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Code reviewBugs: None found. Security: None found. The new tools only construct/save a Model Builder graph and require an explicit user "Run" click to execute anything; no new network, filesystem, or injection surface beyond what the existing Model Builder canvas already exposes. Performance: None found. Quality:
CLAUDE.md: No violations found — no i18n locale was missed (all 19 locale files received the new |
run_algorithm only ever resolved against the client vector registries, so a
raster request ("compute slope from this DEM") had no tool to reach for and
the assistant correctly reported there was none. The scripting layer already
had working `listWhiteboxTools`/`runWhiteboxTool` handlers driving the WASM
runner — they were simply never exposed to the assistant.
- New `list_whitebox_tools` / `run_whitebox_tool` tools over those handlers.
As with list_model_algorithms, the catalog is ~1000 tools, so the list tool
takes a `search` filter and caps detail at 25 hits; unfiltered it returns
the categories to search within.
- list_algorithms' description and the system prompt now send raster work to
the Whitebox pair instead of leaving the model to conclude nothing exists.
- A GeoTIFF returned under a generic `file_out` parameter now becomes a raster
layer instead of being reported as unretrievable. Several raster tools
declare their output that way — `slope`'s is described only as "Optional
output path" — and ProcessingDialog can treat those as files because it
hands the user a download; this API has no such affordance, so the raster
the caller asked for silently vanished. `isTiff` lives in a new leaf module
(`scripting/binary-output.ts`) so it is testable without dragging the app's
maplibre CSS imports into the node test runner.
Verified live with a real model (gpt-5.6-luna): "compute a slope raster from
the dem" now emits list_whitebox_tools{search:"slope"} then run_whitebox_tool
{id:"slope", input:<layer id>, units:"degrees"}, and "Slope output" lands in
the Layers panel as a COG rendering over the DEM. Before this change the same
prompt ran the tool and then dropped the result.
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Code reviewBugs
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Everything else checked and looked solid:
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- Input and output cards are rounded and tinted, so the data entering and leaving a model reads apart from the tools between it — the split ArcGIS ModelBuilder and QGIS draw as ovals versus rectangles. Safe for exactly these two kinds: each has a single, vertically centred port, so no port dot lands on the rounded part of the edge. - Those two kinds sized to the bare NODE_HEIGHT while every labelled tool card is 70px, leaving them visibly short beside their neighbours. They now take a one-row labelled tool's height, and the unlabelled port band spans the card rather than a hardcoded NODE_HEIGHT so the single port stays centred. - A model opened from the AI Assistant is auto-arranged. handleLoadModel does lay it out, but this request also opens the panel, so on that pass the canvas has no measured width yet and the layout fell back to its default — leaving a long assistant-built chain off the visible area until the user pressed Arrange. Re-arrange on the next frame, once the canvas is measured, which also scrolls it to the start. handleLoadModel now reports whether it loaded, so a declined discard does not rearrange what the user kept. - The assistant uses fill_depressions_wang_and_liu rather than the plain fill_depressions tool when a workflow needs depression filling. Verified live with a real model (gpt-5.6-luna): "create a model … that can extract stream network as vector for the dem" produces fill_depressions_wang_and_liu -> d8_pointer -> qin_flow_accumulation -> extract_streams -> raster_streams_to_vector, and the canvas opens already tidied at the origin with the input and output cards rounded, tinted and 70px like the tools between them.
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Code reviewBugs
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CLAUDE.md
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- `isParameterVisible` now falls back to a governing parameter's declared default, so omitting `aggregate`'s defaulted `statistic` no longer makes the hidden `stat_field` read as a missing required parameter. - A step whose tool has several output ports must name the one it is wired through as `key.port`; a bare reference is refused instead of silently taking the first output. The tool schema documents the syntax. - `buildAssistantModel`'s default id generator guards `crypto.randomUUID` the way `createId` in ModelBuilderPanel does, so graph construction fails as a tool error rather than crashing where that API is absent. - Validation failures report `issue.message` rather than the bare code, giving the assistant something to act on when a `create_model_builder_model` call is rejected. - `tools.ts` imports `buildAssistantModel` dynamically, so `@geolibre/processing` (which `model-builder` pulls in for its graph helpers) stays out of the assistant's initial chunk, matching the comment on `loadModelToolDescriptors`. - The layer list is read after the descriptor catalog resolves, so a layer added or renamed while the Whitebox snapshot loads is not validated against a stale list. - `newProject`/`loadProject` clear `modelBuilderRequestedModelId` alongside the other one-shot UI ids that belong to the previous project. - ProcessingDialog reuses `isTiff` from `binary-output.ts`: a generic `file_out` whose bytes are a GeoTIFF (e.g. `slope`) becomes a raster layer instead of a `.bin` download, matching the scripting/assistant path.
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All 19 locale files present the key consistently. The review is complete — no inline comments to post, since I found no defects that clear the bar for a specific line-anchored finding. Code reviewReviewed the AI-assistant Model Builder feature ( Bugs: None found with meaningful confidence. Traced the main risk areas closely and they hold up:
Security: No issues. Assistant-supplied strings (model/output names, algorithm ids) flow through validated lookups or React's auto-escaping; no injection surface. Performance: No issues. Quality: Two very minor, not-worth-blocking nits (confidence: low, not posted inline since they're trivial):
CLAUDE.md: No violations. New user-facing strings go through |
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dismissed
coderabbitai[bot]’s stale review
August 20, 2026 13:44
Stale: every thread from this review was addressed and resolved in 739becb, and CodeRabbit's re-review of that commit came back clean ("Review completed", no new inline comments).
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