chore: update ai models organization#578
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softmarshmallow merged 25 commits intomainfrom Mar 15, 2026
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- Changed the default OpenAI model from "gpt-4o-mini" to "gpt-5-mini" across multiple files to leverage improved performance. - Updated the AI generation functions to utilize the new model and adjusted the streaming methods accordingly. - Refactored the request schema to use raw JSON Schema for better compatibility with OpenAI's structured outputs, ensuring all required properties are defined correctly. These changes enhance the AI generation capabilities and ensure compliance with OpenAI's requirements for structured outputs.
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WalkthroughCentralizes model configuration and gateway, surfaces per-step usage/cost metadata through the agent/chat path, adds many AI UI components and tool UIs, introduces SVG sanitization and serialization fixes, expands SVG testing/tooling, and adds DB migrations/seeds and dependency updates. Changes
Sequence Diagram(s)sequenceDiagram
participant Client
participant API as Server API
participant Agent
participant Gateway
participant Provider
Client->>API: send user message / start chat
API->>Agent: forward message + context
Agent->>Gateway: resolve model via model(tier) and invoke generation
Gateway->>Provider: dispatch provider-specific request
Provider-->>Gateway: response + per-step usage
Gateway-->>Agent: aggregated response + per-step usage
Agent-->>API: enrich final message with totalUsage, lastStepUsage, modelId, cost
API-->>Client: return/stream response with metadata
Estimated code review effort🎯 5 (Critical) | ⏱️ ~120 minutes Possibly related PRs
Suggested labels
✨ Finishing Touches
🧪 Generate unit tests (beta)
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- Introduced a centralized model management system in `lib/ai/models.ts` to streamline model selection and improve maintainability. - Updated various components to utilize the new model management, replacing direct OpenAI calls with tiered model references. - Enhanced the AI generation schema in `route.ts` to ensure compliance with structured output requirements, improving validation and error handling. - Removed deprecated code and improved documentation for better clarity on model usage and schema definitions. These changes enhance the flexibility and reliability of AI interactions within the application.
- Removed deprecated dependency '@ai-sdk/anthropic' from package.json. - Updated 'ai' package version from 6.0.1 to 6.0.116 in package.json. - Adjusted various dependency versions in pnpm-lock.yaml for improved compatibility and performance. - Updated '@ai-sdk/gateway' version from 3.0.0 to 3.0.66 and added new dependencies for '@ai-sdk/provider-utils' and '@ai-sdk/provider'. These changes enhance the project's dependency management and ensure alignment with the latest package versions.
- Updated the `makeEditorChat` function to explicitly cast `toolCall.input` to specific types for better type safety and clarity. - Improved the handling of inputs for various tools, ensuring that the correct structure is used when calling client implementations. - Enhanced code readability by reducing redundancy in input handling across different tool cases. These changes improve maintainability and type safety in the chat functionality of the editor.
- Introduced new components for AI elements including `Artifact`, `Canvas`, `ChainOfThought`, `Checkpoint`, `Confirmation`, `Connection`, `Controls`, `Node`, and `OpenInChat`. - Updated existing components to improve layout and functionality, such as adjusting the `Conversation` component for better overflow handling and enhancing the `Message` component's width. - Updated dependency versions in `package.json` and `pnpm-lock.yaml` for improved compatibility, including `@xyflow/react` and others. - Enhanced the `@xyflow/react` integration with new features for better user interaction and visual representation. These changes expand the capabilities of the editor and improve the overall user experience.
- Included new paths for generated UI components in the ESLint configuration to ensure proper linting for `components/ui`, `components/ui2`, and `components/ai-elements`. - This update enhances code quality checks for newly introduced UI elements, maintaining consistency across the project.
- Added a `sendReasoning` option to the chat response in `route.ts` to enable reasoning capabilities. - Updated the `canvasDesignAgent` to include reasoning options for OpenAI and Anthropic, allowing for adaptive thinking and detailed reasoning summaries. - Refactored the `AssistantMessage` component to group reasoning parts and improve rendering of text and tool responses, enhancing the user experience during streaming interactions. These changes improve the AI's ability to provide thoughtful responses and streamline the display of reasoning in chat messages.
- Introduced new components for tool UIs: `SvgToolUI`, `TreeToolUI`, `ArtboardSizesToolUI`, and `GenerateImageToolUI`, providing tailored interfaces for specific tool interactions. - Refactored the `ToolPart` component to dispatch to these custom UIs based on the tool name, improving the rendering logic and user experience. - Updated the `AssistantMessage` component to utilize a shimmer effect for loading states and improved grouping of message parts for better clarity during streaming interactions. These changes enhance the overall functionality and user experience of the AI editor by providing more intuitive and responsive tool interfaces.
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- Created a new `pricing.md` file detailing the AI models used in Grida, including text and image generation capabilities, pricing structure, and credit system. - Organized models into tiers based on capability and cost, providing a clear overview of their use cases and pricing. - Included information on image tools and processing capabilities, enhancing user understanding of available features and costs. These additions provide comprehensive guidance on AI model usage and pricing, improving user accessibility to important information.
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Actionable comments posted: 17
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Due to the large number of review comments, Critical, Major severity comments were prioritized as inline comments.
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⚠️ Outside diff range comments (5)
supabase/schemas/grida_hosted.sql (1)
57-74:⚠️ Potential issue | 🟠 MajorAdd
REVOKE ALLto lock down the SECURITY DEFINER function.The function now uses
SECURITY DEFINERwith a safesearch_path, which is correct. However, per coding guidelines, SECURITY DEFINER functions should explicitly revoke public access to prevent untrusted roles from invoking them directly.🔒 Proposed fix
Add after the function definition (after line 74):
REVOKE ALL ON FUNCTION grida_hosted.enqueue_new_organization_event() FROM PUBLIC;As per coding guidelines: "Explicitly grant permissions only to required roles; avoid accidental PUBLIC access by using
REVOKE ALL FROM PUBLIC;followed by specific role grants."🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@supabase/schemas/grida_hosted.sql` around lines 57 - 74, The SECURITY DEFINER function grida_hosted.enqueue_new_organization_event() must be locked down by revoking public execution rights; add a statement immediately after the function definition that revokes all privileges from PUBLIC for this function (use the exact identifier grida_hosted.enqueue_new_organization_event() with its zero-argument signature) so only explicitly granted roles can execute it.editor/components/ai-elements/reasoning.tsx (1)
170-183:⚠️ Potential issue | 🟡 MinorUnintended props may be passed to
Streamdown.Line 180 spreads
{...props}toStreamdown, butpropshere containsCollapsibleContentprops (afterclassNameandchildrenare destructured). This may pass unexpected props likeforceMountor data attributes toStreamdown.Proposed fix
export const ReasoningContent = memo( ({ className, children, ...props }: ReasoningContentProps) => ( <CollapsibleContent className={cn( "mt-4 text-sm", "data-[state=closed]:fade-out-0 data-[state=closed]:slide-out-to-top-2 data-[state=open]:slide-in-from-top-2 text-muted-foreground outline-none data-[state=closed]:animate-out data-[state=open]:animate-in", className )} {...props} > - <Streamdown {...props}>{children}</Streamdown> + <Streamdown>{children}</Streamdown> </CollapsibleContent> ) );🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@editor/components/ai-elements/reasoning.tsx` around lines 170 - 183, ReasoningContent currently spreads the remaining props (intended for CollapsibleContent) into Streamdown, which can leak props like forceMount or data attributes; change the destructuring to capture only CollapsibleContent props (e.g., ({ className, children, ...collapsibleProps }: ReasoningContentProps)) and spread collapsibleProps into CollapsibleContent while removing {...props} from Streamdown so Streamdown only receives its intended children (or explicitly pass only the allowed props to Streamdown if needed).editor/grida-forms/schema/zod.ts (1)
1-1:⚠️ Potential issue | 🔴 CriticalChange
zod/v3import tozodfor Zod 4.3.6 compatibility.This file (and 11 other files across the codebase) imports from
zod/v3, but the project uses zod 4.3.6 and no TypeScript path alias or module resolution configuration exists for this subpath. The correct import for Zod 4 isimport { z } from "zod".🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@editor/grida-forms/schema/zod.ts` at line 1, The import line currently uses the subpath "zod/v3" which is incompatible with Zod 4.3.6; update the module import in this file (and any other files using "zod/v3") to import from "zod" instead (i.e., replace occurrences of the string "zod/v3" with "zod") so that the symbol z (imported as { z }) resolves correctly at compile time.editor/app/(dev)/canvas/tools/ai/generate.ts (1)
94-109:⚠️ Potential issue | 🟠 MajorAlways close the stream when generation fails.
If
streamText()orpartialOutputStreamthrows, this async task exits beforestream.done(), which leaves the RSC client hanging on an unresolved stream. Wrap the streaming block sodone()runs in afinally, then handle/log the rejection separately.💡 Suggested fix
const stream = createStreamableValue({}); - (async () => { - const { partialOutputStream } = streamText({ - model, - ...model_config, - system, - ...(message - ? { messages: [message] } - : { prompt: prompt ?? "Generate content" }), - output: Output.object({ schema: request_schema }), - }); - - for await (const partialObject of partialOutputStream) { - stream.update(partialObject as any); - } - - stream.done(); - })(); + (async () => { + try { + const { partialOutputStream } = streamText({ + model, + ...model_config, + system, + ...(message + ? { messages: [message] } + : { prompt: prompt ?? "Generate content" }), + output: Output.object({ schema: request_schema }), + }); + + for await (const partialObject of partialOutputStream) { + stream.update(partialObject as any); + } + } finally { + stream.done(); + } + })().catch((error) => { + console.error("AI generation stream failed", error); + });🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@editor/app/`(dev)/canvas/tools/ai/generate.ts around lines 94 - 109, The streaming IIFE may exit early if streamText() or iterating partialOutputStream throws, leaving the RSC client hanging because stream.done() is not guaranteed; wrap the streaming sequence (creation of partialOutputStream and the for-await loop that calls stream.update) in a try/catch/finally: call stream.done() in the finally block, log or rethrow the caught error in the catch, and ensure any resources from streamText() are awaited/cleaned as needed; reference the streamText call, the returned partialOutputStream, the for-await loop that calls stream.update(...), and the stream.done() invocation to locate the change.editor/grida-canvas-hosted/ai/scaffold/components/agent-input.tsx (1)
149-163:⚠️ Potential issue | 🟠 MajorThe streaming icon now says “stop”, but the button still submits.
In the
streamingstate this control shows a filled square, yet it staystype="submit"witharia-label="Submit". That is misleading unless a real cancel action is wired up.🐛 Minimal safe fallback
if (status === "submitted") { Icon = <Spinner className="size-3.5" />; } else if (status === "streaming") { - Icon = <SquareFilledIcon className="size-3.5" />; + Icon = <Spinner className="size-3.5" />; } else if (status === "error") { Icon = <XIcon className="size-3.5" />; }🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@editor/grida-canvas-hosted/ai/scaffold/components/agent-input.tsx` around lines 149 - 163, The button uses status to render a stop icon but still has type="submit" and aria-label="Submit", which is misleading and can accidentally submit the form; when status === "streaming" update the InputGroupButton props to type="button" and aria-label="Stop" (and, if a cancel/abort handler exists, wire it via onClick to that handler); keep type="submit" and aria-label="Submit" for other statuses. Reference: status variable, Icon assignment block, and the InputGroupButton element.
🟡 Minor comments (13)
editor/components/ai-elements/web-preview.tsx-143-165 (1)
143-165:⚠️ Potential issue | 🟡 MinorInconsistent
onChangehandling may break local state sync.When a consumer provides
onChangebut notvalue, Line 159 usesonChange ?? handleChange, which meanshandleChangewon't execute. This prevents the internalinputValuestate from updating, causing the input to appear frozen until Enter is pressed (which updates via context).Consider always calling
handleChangeand then forwarding to the consumer'sonChange:Proposed fix
const handleChange = (event: React.ChangeEvent<HTMLInputElement>) => { setInputValue(event.target.value); onChange?.(event); }; // ... return ( <Input className="h-8 flex-1 text-sm" - onChange={onChange ?? handleChange} + onChange={handleChange} onKeyDown={handleKeyDown} placeholder="Enter URL..." value={value ?? inputValue} {...props} /> );🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@editor/components/ai-elements/web-preview.tsx` around lines 143 - 165, The input's local state isn't updated when a consumer passes onChange but not value because the component uses onChange ?? handleChange; change this so the component always runs the internal updater and then forwards the event to the consumer: make onChange for the Input point to a wrapper (or keep handleChange but modify it) that calls setInputValue(event.target.value) first and then calls onChange?.(event); keep handleKeyDown behavior (it should still call setUrl on Enter and then onKeyDown?.(event)). Update references to handleChange, onChange, inputValue, setInputValue, handleKeyDown, and setUrl accordingly.editor/components/ai-elements/sources.tsx-12-19 (1)
12-19:⚠️ Potential issue | 🟡 MinorType mismatch:
SourcesPropsdoesn't include Collapsible props.
SourcesPropsis typed asComponentProps<"div">, but the component renders aCollapsible. Consumers can't passopen,defaultOpen, oronOpenChangewithout type errors, limiting the component's controllability.Proposed fix
+import type { ComponentProps } from "react"; + -export type SourcesProps = ComponentProps<"div">; +export type SourcesProps = ComponentProps<typeof Collapsible>; export const Sources = ({ className, ...props }: SourcesProps) => (🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@editor/components/ai-elements/sources.tsx` around lines 12 - 19, SourcesProps is currently ComponentProps<"div"> but Sources renders a Collapsible, preventing passing Collapsible-specific props (open, defaultOpen, onOpenChange); change the type of SourcesProps to match the Collapsible component (e.g., ComponentProps<typeof Collapsible> or extend with Collapsible's prop type) so the Sources component signature ({ className, ...props }: SourcesProps) accepts Collapsible props and forwards them to <Collapsible />.editor/components/ai-elements/checkpoint.tsx-56-71 (1)
56-71:⚠️ Potential issue | 🟡 MinorMissing
TooltipProviderwhen tooltip is provided.Unlike
WebPreviewNavigationButtonandArtifactActionin this PR which wrap tooltips withTooltipProvider,CheckpointTriggerusesTooltipwithout a provider. This may work if a parent provides it, but could fail silently or throw if used standalone.Proposed fix for consistency
tooltip ? ( + <TooltipProvider> <Tooltip> <TooltipTrigger asChild> <Button size={size} type="button" variant={variant} {...props}> {children} </Button> </TooltipTrigger> <TooltipContent align="start" side="bottom"> {tooltip} </TooltipContent> </Tooltip> + </TooltipProvider> ) : (And add import:
import { Tooltip, TooltipContent, + TooltipProvider, TooltipTrigger, } from "@/components/ui/tooltip";🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@editor/components/ai-elements/checkpoint.tsx` around lines 56 - 71, The tooltip block in CheckpointTrigger uses Tooltip without wrapping it in a TooltipProvider, which can break when no ancestor provider exists; update the JSX to wrap the Tooltip with TooltipProvider (matching WebPreviewNavigationButton/ArtifactAction), add the TooltipProvider import from the same tooltip module, and ensure the Tooltip tree (TooltipProvider > Tooltip > TooltipTrigger/TooltipContent) replaces the current standalone Tooltip usage in the CheckpointTrigger render.editor/components/ai-elements/confirmation.tsx-14-40 (1)
14-40:⚠️ Potential issue | 🟡 MinorRemove duplicate union members in
ToolUIPartApproval.The type definition contains two identical union members at lines 26-29 and 30-34, both representing
{ id: string; approved: true; reason?: string; }. This appears to be a copy-paste error.🔧 Proposed fix
type ToolUIPartApproval = | { id: string; approved?: never; reason?: never; } | { id: string; approved: boolean; reason?: string; } | { id: string; approved: true; reason?: string; } - | { - id: string; - approved: true; - reason?: string; - } | { id: string; approved: false; reason?: string; } | undefined;🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@editor/components/ai-elements/confirmation.tsx` around lines 14 - 40, The union type ToolUIPartApproval contains duplicated members representing { id: string; approved: true; reason?: string; }; inside the type definition remove the duplicate union member so each variant is unique, leaving a single { id: string; approved: true; reason?: string; } entry and keeping the other variants ({ id: string; approved?: never; reason?: never; }, { id: string; approved: boolean; reason?: string; }, { id: string; approved: false; reason?: string; }, and undefined) intact to preserve existing behavior.editor/components/ai-elements/node.tsx-21-33 (1)
21-33:⚠️ Potential issue | 🟡 MinorAvoid accessing
props.childrenafter spreading...props.On line 31,
props.childrenis accessed after{...props}has already been spread onto the Card. Sincechildrenis part of the rest props, this causeschildrento be rendered twice—once via the spread and once explicitly.🔧 Proposed fix
-export const Node = ({ handles, className, ...props }: NodeProps) => ( +export const Node = ({ handles, className, children, ...props }: NodeProps) => ( <Card className={cn( "node-container relative size-full h-auto w-sm gap-0 rounded-md p-0", className )} {...props} > {handles.target && <Handle position={Position.Left} type="target" />} {handles.source && <Handle position={Position.Right} type="source" />} - {props.children} + {children} </Card> );🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@editor/components/ai-elements/node.tsx` around lines 21 - 33, The Node component spreads {...props} onto Card and then also renders props.children, causing duplicated children; fix it by extracting children from the rest props (e.g., destructure children in the Node params or pull children out before spreading) so that you spread only the remaining props onto Card and then render the single children value (references: Node, handles, className, Card, props.children).editor/components/ai-elements/open-in-chat.tsx-259-262 (1)
259-262:⚠️ Potential issue | 🟡 MinorMark decorative icons as hidden from assistive tech
In each item, the provider name text already labels the link. The leading icon and trailing external-link glyph should be
aria-hiddento avoid redundant announcements.Suggested patch pattern
- <span className="shrink-0">{providers.chatgpt.icon}</span> + <span aria-hidden="true" className="shrink-0"> + {providers.chatgpt.icon} + </span> <span className="flex-1">{providers.chatgpt.title}</span> - <ExternalLinkIcon className="size-4 shrink-0" /> + <ExternalLinkIcon aria-hidden="true" className="size-4 shrink-0" />Repeat for each provider item.
Also applies to: 279-282, 299-302, 319-322, 339-342, 359-362
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@editor/components/ai-elements/open-in-chat.tsx` around lines 259 - 262, The provider link items render both a leading icon (providers.<provider>.icon) and a trailing ExternalLinkIcon which duplicate the visible label for screen readers; mark these decorative icons as hidden from assistive tech by adding aria-hidden="true" (and focusable={false} if the icon is an SVG) to the leading icon span around providers.<provider>.icon and to the ExternalLinkIcon component usage; apply the same change to every provider item that renders providers.*.icon and ExternalLinkIcon so only the provider name is announced.editor/grida-canvas-hosted/ai/scaffold/components/tool-ui-shared.ts-51-56 (1)
51-56:⚠️ Potential issue | 🟡 MinorMap all
ToolUIPart["state"]values from the AI SDK.The Vercel AI SDK 6.0 defines the following possible states for
ToolUIPart["state"]:
'input-streaming','input-available','approval-requested','approval-responded','output-available','output-error','output-denied'The current
deriveToolStatefunction only handles four of these:input-streaming,input-available,output-available, andoutput-error. The unmapped states—approval-requested,approval-responded, andoutput-denied—fall through to{ isRunning: false, isDone: false, isError: false }.Either explicitly handle these additional states or document why they are not expected to occur in these tool UIs.
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@editor/grida-canvas-hosted/ai/scaffold/components/tool-ui-shared.ts` around lines 51 - 56, deriveToolState currently only maps four ToolUIPart["state"] values; add explicit handling for the remaining SDK states to avoid silent fall-through: update the deriveToolState function to include 'approval-requested' (treat as in-progress/waiting — set isRunning: true, isDone: false, isError: false), 'approval-responded' (treat as no longer running — set isRunning: false, isDone: false, isError: false), and 'output-denied' (treat as a terminal denied state — set isRunning: false, isDone: false, isError: true) while still preserving existing mappings for 'input-streaming', 'input-available', 'output-available', and 'output-error'; alternatively, if a different behavior is desired for any of these three states, add a brief comment in deriveToolState referencing ToolUIPart["state"] from the AI SDK to justify the chosen mapping.editor/components/ai-elements/image.tsx-17-17 (1)
17-17:⚠️ Potential issue | 🟡 MinorEnsure
altis always present for accessibility.At Line 17,
alt={props.alt}omits the attribute when undefined. Set a safe default ("") or require non-empty alt text at call sites for meaningful images.Suggested fix
- alt={props.alt} + alt={props.alt ?? ""}🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@editor/components/ai-elements/image.tsx` at line 17, The JSX currently uses alt={props.alt} which omits the alt attribute when props.alt is undefined; update the component so alt is always present by defaulting it (e.g., use props.alt ?? "" or set a default prop value) or enforce a non-empty alt at call sites; modify the JSX reference to props.alt and the component's props handling (prop type/defaults in this file) to ensure alt is never undefined for accessibility.editor/components/ai-elements/edge.tsx-49-55 (1)
49-55:⚠️ Potential issue | 🟡 MinorDon't fall back to
(0, 0)when a handle is unresolved.If
handleBoundsis not ready yet, this renders a bogus edge from the canvas origin until the next measurement pass. Returningnullhere and bailing out upstream avoids that flicker.Suggested fix
const getHandleCoordsByPosition = ( node: InternalNode<Node>, handlePosition: Position ) => { @@ const handle = node.internals.handleBounds?.[handleType]?.find( (h) => h.position === handlePosition ); if (!handle) { - return [0, 0] as const; + return null; } @@ - return [x, y] as const; + return [x, y] as const; }; const getEdgeParams = ( source: InternalNode<Node>, target: InternalNode<Node> ) => { const sourcePos = Position.Right; - const [sx, sy] = getHandleCoordsByPosition(source, sourcePos); + const sourceHandle = getHandleCoordsByPosition(source, sourcePos); const targetPos = Position.Left; - const [tx, ty] = getHandleCoordsByPosition(target, targetPos); + const targetHandle = getHandleCoordsByPosition(target, targetPos); + + if (!sourceHandle || !targetHandle) { + return null; + } + + const [sx, sy] = sourceHandle; + const [tx, ty] = targetHandle; @@ - const { sx, sy, tx, ty, sourcePos, targetPos } = getEdgeParams( + const edgeParams = getEdgeParams( sourceNode, targetNode ); + + if (!edgeParams) { + return null; + } + + const { sx, sy, tx, ty, sourcePos, targetPos } = edgeParams;🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@editor/components/ai-elements/edge.tsx` around lines 49 - 55, The current logic falls back to [0,0] when a handle is missing, causing a bogus edge; change the function that reads node.internals.handleBounds?.[handleType]?.find(...) (the code that produces the local variable handle) to return null instead of [0, 0] when handle is unresolved, and update the callers of that function in this component to bail out early when they receive null so no edge is rendered until measurements exist; adjust the return type/signature where necessary to allow null and ensure upstream code checks for null before using the coordinates..tools/model_info.py-33-41 (1)
33-41:⚠️ Potential issue | 🟡 MinorAdd curl timeout and fail-fast flags to prevent hangs and silent failures.
The
fetch_catalog()function has no network timeout and does not explicitly fail on HTTP errors. A stalled upstream request will hang indefinitely, and an HTTP error response will silently pass through curl (exit 0) only to fail later injson.loads()with a raw traceback. Add--max-timeand--failflags to harden this path:Suggested fix
def fetch_catalog() -> dict: """Fetch the models.dev catalog via curl (avoids Python SSL issues on macOS).""" result = subprocess.run( - ["curl", "-s", API_URL], + ["curl", "-fsSL", "--max-time", "15", API_URL], capture_output=True, text=True, check=True, ) return json.loads(result.stdout)🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In @.tools/model_info.py around lines 33 - 41, fetch_catalog currently calls curl without timeout or fail-on-HTTP-error flags; update the subprocess.run invocation in fetch_catalog to pass ["curl", "-s", "--fail", "--max-time", "10", API_URL] (or another sensible seconds value) so curl returns non-zero on HTTP errors and is bounded by a max time, preserving capture_output=True, text=True, check=True to let subprocess raise on failures.editor/components/ai-elements/model-selector.tsx-200-204 (1)
200-204:⚠️ Potential issue | 🟡 MinorAdd
min-w-0so long names can truncate.
ModelSelectorNameis a flex item; withoutmin-w-0, long model labels can overflow the row instead of shrinking into the ellipsis.✂️ Small fix
export const ModelSelectorName = ({ className, ...props }: ModelSelectorNameProps) => ( - <span className={cn("flex-1 truncate text-left", className)} {...props} /> + <span + className={cn("min-w-0 flex-1 truncate text-left", className)} + {...props} + /> );🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@editor/components/ai-elements/model-selector.tsx` around lines 200 - 204, ModelSelectorName currently renders a flex item without a minimum width so long model labels can overflow; update the class list in ModelSelectorName to include "min-w-0" (i.e., change cn("flex-1 truncate text-left", className) to include "min-w-0") so labels properly shrink and truncate with an ellipsis.editor/app/(api)/private/editor/ai/schema/route.ts-51-55 (1)
51-55:⚠️ Potential issue | 🟡 MinorValidate
descriptionas a non-empty string.
req.json()is untyped, so objects/arrays and whitespace-only strings can make it past this guard and fail later as bad prompts or 500s. Checktypeof description === "string"and trim it here.💡 Suggested fix
- if (!description) { + if (typeof description !== "string" || description.trim().length === 0) { return NextResponse.json( { error: "Description is required" }, { status: 400 } ); }🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@editor/app/`(api)/private/editor/ai/schema/route.ts around lines 51 - 55, The current guard only checks truthiness of description but allows non-strings or whitespace; update the validation after reading req.json() to ensure typeof description === "string" and that description.trim() !== "" (e.g., const trimmed = description.trim()), return NextResponse.json({ error: "Description is required" }, { status: 400 }) when the check fails, and use the trimmed value for downstream processing; reference the existing description variable, req.json(), and NextResponse.json in your change.crates/grida-canvas/tests/svg_pack.rs-87-101 (1)
87-101:⚠️ Potential issue | 🟡 MinorThis test currently can’t catch a regression.
Both branches are treated as success, so CI stays green whether
svg_packstarts accepting or rejecting no-xmlns SVGs. If the current dependency set has a stable behavior here, assert it; otherwise this case belongs in the batch tool, not the unit test suite.🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@crates/grida-canvas/tests/svg_pack.rs` around lines 87 - 101, The test pack_no_xmlns currently treats both Ok and Err as success so it cannot detect regressions; update it to assert a definitive expected outcome for svg_pack(svg): if usvg behavior is stable in our dependency set, replace the match with an assertion (e.g., assert!(result.is_ok()) or assert!(result.is_err())) that matches the documented behavior for svg_pack, or if the behavior is unstable across environments, remove or relocate this case out of the unit test into the batch/integration tool and document it there. Ensure you modify the test function pack_no_xmlns to use that single deterministic assertion or move the test accordingly so CI will fail on regressions.
ℹ️ Review info
⚙️ Run configuration
Configuration used: Organization UI
Review profile: CHILL
Plan: Pro
Run ID: 11acfc07-628c-417d-805f-01e995a7974d
⛔ Files ignored due to path filters (2)
crates/grida-canvas-wasm/lib/bin/grida_canvas_wasm.wasmis excluded by!**/*.wasmpnpm-lock.yamlis excluded by!**/pnpm-lock.yaml
📒 Files selected for processing (80)
.tools/README.md.tools/model_info.pycrates/grida-canvas-wasm/lib/bin/grida-canvas-wasm.jscrates/grida-canvas-wasm/lib/modules/svg-bindings.d.tscrates/grida-canvas-wasm/lib/modules/svg.tscrates/grida-canvas-wasm/package.jsoncrates/grida-canvas/examples/tool_svg_batch.rscrates/grida-canvas/src/cg/svg.rscrates/grida-canvas/src/io/io_svg.rscrates/grida-canvas/src/svg/from_usvg_tree.rscrates/grida-canvas/src/svg/mod.rscrates/grida-canvas/src/svg/sanitize.rscrates/grida-canvas/tests/svg_pack.rseditor/.env.exampleeditor/app/(api)/private/ai/chat/route.tseditor/app/(api)/private/editor/ai/schema/route.tseditor/app/(dev)/canvas/actions.tseditor/app/(dev)/canvas/tools/ai/generate.tseditor/app/(dev)/canvas/tools/ai/schema.tseditor/app/(tools)/(playground)/playground/image/_components/image-frame.tsxeditor/components/ai-elements/artifact.tsxeditor/components/ai-elements/canvas.tsxeditor/components/ai-elements/chain-of-thought.tsxeditor/components/ai-elements/checkpoint.tsxeditor/components/ai-elements/confirmation.tsxeditor/components/ai-elements/connection.tsxeditor/components/ai-elements/controls.tsxeditor/components/ai-elements/conversation.tsxeditor/components/ai-elements/edge.tsxeditor/components/ai-elements/image.tsxeditor/components/ai-elements/inline-citation.tsxeditor/components/ai-elements/message.tsxeditor/components/ai-elements/model-selector.tsxeditor/components/ai-elements/node.tsxeditor/components/ai-elements/open-in-chat.tsxeditor/components/ai-elements/panel.tsxeditor/components/ai-elements/plan.tsxeditor/components/ai-elements/prompt-input.tsxeditor/components/ai-elements/queue.tsxeditor/components/ai-elements/reasoning.tsxeditor/components/ai-elements/shimmer.tsxeditor/components/ai-elements/sources.tsxeditor/components/ai-elements/suggestion.tsxeditor/components/ai-elements/task.tsxeditor/components/ai-elements/tool.tsxeditor/components/ai-elements/toolbar.tsxeditor/components/ai-elements/web-preview.tsxeditor/components/chat/chatbox.tsxeditor/eslint.config.mjseditor/grida-canvas-hosted/ai/agent/client-chat.tseditor/grida-canvas-hosted/ai/agent/server-agent.tseditor/grida-canvas-hosted/ai/scaffold/chat.tsxeditor/grida-canvas-hosted/ai/scaffold/components/agent-input.tsxeditor/grida-canvas-hosted/ai/scaffold/components/message-item.tsxeditor/grida-canvas-hosted/ai/scaffold/components/tool-ui-artboard-sizes.tsxeditor/grida-canvas-hosted/ai/scaffold/components/tool-ui-generate-image.tsxeditor/grida-canvas-hosted/ai/scaffold/components/tool-ui-markdown.tsxeditor/grida-canvas-hosted/ai/scaffold/components/tool-ui-shared.tseditor/grida-canvas-hosted/ai/scaffold/components/tool-ui-svg.tsxeditor/grida-canvas-hosted/ai/scaffold/components/tool-ui-tree.tsxeditor/grida-canvas-hosted/ai/scaffold/use-context-usage.tseditor/grida-canvas-hosted/ai/tools/canvas-use.tseditor/grida-canvas-hosted/ai/types.tseditor/grida-canvas-hosted/playground/playground.tsxeditor/grida-forms/schema/zod.tseditor/lib/ai/models.tseditor/next.config.tseditor/package.jsoneditor/scaffolds/playground-forms/actions.tsfixtures/prompts/canvas-user-prompts.txtfixtures/prompts/canvs-user-prompts.txtpackages/grida-canvas-io-svg/__tests__/convert.test.tspackages/grida-canvas-io-svg/lib.tspackages/grida-canvas-io-svg/package.jsonsupabase/migrations/20260209000000_library_category_generated.sqlsupabase/migrations/20260209000001_pgmq_trigger_security_definer.sqlsupabase/schemas/grida_hosted.sqlsupabase/schemas/grida_library.sqlsupabase/seed.sqlthird_party/usvg/src/text/mod.rs
💤 Files with no reviewable changes (3)
- editor/components/ai-elements/queue.tsx
- fixtures/prompts/canvs-user-prompts.txt
- editor/app/(dev)/canvas/actions.ts
Comment on lines
+154
to
+166
| if pack_fail > 0 || optimize_fail > 0 { | ||
| println!("\n--- Failures ---"); | ||
| for r in &results { | ||
| if let Some(StepResult::Err { error, .. }) = &r.optimize { | ||
| println!(" FAIL optimize {} => {}", r.path.display(), error); | ||
| } | ||
| if let Some(StepResult::Err { error, .. }) = &r.pack { | ||
| println!(" FAIL pack {} => {}", r.path.display(), error); | ||
| } | ||
| } | ||
| std::process::exit(1); | ||
| } else { | ||
| println!("\nAll tests passed."); |
There was a problem hiding this comment.
Unreadable files still end with exit code 0.
READ_ERR entries are counted, but they do not participate in the final failure condition, so permission/encoding problems can still print All tests passed. and return success.
🐛 Proposed fix
- if pack_fail > 0 || optimize_fail > 0 {
+ if read_errors > 0 || pack_fail > 0 || optimize_fail > 0 {
println!("\n--- Failures ---");
for r in &results {
+ if let Some(error) = &r.read_error {
+ println!(" FAIL read {} => {}", r.path.display(), error);
+ }
if let Some(StepResult::Err { error, .. }) = &r.optimize {
println!(" FAIL optimize {} => {}", r.path.display(), error);
}
if let Some(StepResult::Err { error, .. }) = &r.pack {
println!(" FAIL pack {} => {}", r.path.display(), error);📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
Suggested change
| if pack_fail > 0 || optimize_fail > 0 { | |
| println!("\n--- Failures ---"); | |
| for r in &results { | |
| if let Some(StepResult::Err { error, .. }) = &r.optimize { | |
| println!(" FAIL optimize {} => {}", r.path.display(), error); | |
| } | |
| if let Some(StepResult::Err { error, .. }) = &r.pack { | |
| println!(" FAIL pack {} => {}", r.path.display(), error); | |
| } | |
| } | |
| std::process::exit(1); | |
| } else { | |
| println!("\nAll tests passed."); | |
| if read_errors > 0 || pack_fail > 0 || optimize_fail > 0 { | |
| println!("\n--- Failures ---"); | |
| for r in &results { | |
| if let Some(error) = &r.read_error { | |
| println!(" FAIL read {} => {}", r.path.display(), error); | |
| } | |
| if let Some(StepResult::Err { error, .. }) = &r.optimize { | |
| println!(" FAIL optimize {} => {}", r.path.display(), error); | |
| } | |
| if let Some(StepResult::Err { error, .. }) = &r.pack { | |
| println!(" FAIL pack {} => {}", r.path.display(), error); | |
| } | |
| } | |
| std::process::exit(1); | |
| } else { | |
| println!("\nAll tests passed."); |
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@crates/grida-canvas/examples/tool_svg_batch.rs` around lines 154 - 166, The
code counts read errors but never treats them as failures, so unreadable files
can still print "All tests passed." and exit 0; add handling for read failures
by tracking a read_fail counter (similar to pack_fail/optimize_fail) and include
it in the final failure condition, iterate results and print a failure line when
a result has a read error (e.g., matching the read field or
StepResult::Err/StepResult::ReadErr variant on each r.read), and ensure
std::process::exit(1) is executed when read_fail > 0 along with
pack_fail/optimize_fail.
Comment on lines
+214
to
+235
| let info = match serde_json::from_str::<SVGPackedScene>(&json) { | ||
| Ok(scene) => { | ||
| let stats = count_ir_nodes(&scene); | ||
| if verbose { | ||
| format!( | ||
| "{}x{} | {} groups, {} paths, {} texts | {:.1}ms", | ||
| scene.svg.width, scene.svg.height, | ||
| stats.groups, stats.paths, stats.texts, | ||
| elapsed, | ||
| ) | ||
| } else { | ||
| format!( | ||
| "{}x{} nodes={} {:.1}ms", | ||
| scene.svg.width, | ||
| scene.svg.height, | ||
| stats.total, | ||
| elapsed, | ||
| ) | ||
| } | ||
| } | ||
| Err(err) => format!("packed but failed to deserialize: {}", err), | ||
| }; |
There was a problem hiding this comment.
Treat packed JSON deserialization failures as pack failures.
This path is validating svg_pack end-to-end. If the returned JSON cannot deserialize into SVGPackedScene, reporting OK hides a broken pack result.
🐛 Proposed fix
Ok(json) => {
let elapsed = start.elapsed().as_secs_f64() * 1000.0;
// Parse back to get stats
let info = match serde_json::from_str::<SVGPackedScene>(&json) {
Ok(scene) => {
@@
)
}
}
- Err(err) => format!("packed but failed to deserialize: {}", err),
+ Err(err) => {
+ return StepResult::Err {
+ elapsed_ms: elapsed,
+ error: format!("packed but failed to deserialize: {}", err),
+ };
+ }
};
StepResult::Ok {
elapsed_ms: elapsed,
info,
}📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
Suggested change
| let info = match serde_json::from_str::<SVGPackedScene>(&json) { | |
| Ok(scene) => { | |
| let stats = count_ir_nodes(&scene); | |
| if verbose { | |
| format!( | |
| "{}x{} | {} groups, {} paths, {} texts | {:.1}ms", | |
| scene.svg.width, scene.svg.height, | |
| stats.groups, stats.paths, stats.texts, | |
| elapsed, | |
| ) | |
| } else { | |
| format!( | |
| "{}x{} nodes={} {:.1}ms", | |
| scene.svg.width, | |
| scene.svg.height, | |
| stats.total, | |
| elapsed, | |
| ) | |
| } | |
| } | |
| Err(err) => format!("packed but failed to deserialize: {}", err), | |
| }; | |
| let info = match serde_json::from_str::<SVGPackedScene>(&json) { | |
| Ok(scene) => { | |
| let stats = count_ir_nodes(&scene); | |
| if verbose { | |
| format!( | |
| "{}x{} | {} groups, {} paths, {} texts | {:.1}ms", | |
| scene.svg.width, scene.svg.height, | |
| stats.groups, stats.paths, stats.texts, | |
| elapsed, | |
| ) | |
| } else { | |
| format!( | |
| "{}x{} nodes={} {:.1}ms", | |
| scene.svg.width, | |
| scene.svg.height, | |
| stats.total, | |
| elapsed, | |
| ) | |
| } | |
| } | |
| Err(err) => { | |
| return StepResult::Err { | |
| elapsed_ms: elapsed, | |
| error: format!("packed but failed to deserialize: {}", err), | |
| }; | |
| } | |
| }; |
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@crates/grida-canvas/examples/tool_svg_batch.rs` around lines 214 - 235, The
deserialization error from serde_json::from_str::<SVGPackedScene>(&json) is
currently turned into a benign info string, hiding pack failures; change the Err
branch so deserialization failures are treated as pack failures instead of "OK"
— e.g., when from_str returns Err(err) for SVGPackedScene, propagate or return
an error (or set a failure flag) rather than merely formatting a message into
info; locate the match around serde_json::from_str::<SVGPackedScene>(&json) that
assigns info and modify the Err(err) arm to signal failure (by returning Err,
setting a non-OK status, or counting as a failed pack) so the svg_pack
end-to-end validation reports the pack as failed.
Comment on lines
+296
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+299
| fn collect_svg_files_recursive(dir: &Path, files: &mut Vec<PathBuf>) { | ||
| let Ok(entries) = fs::read_dir(dir) else { | ||
| return; | ||
| }; |
There was a problem hiding this comment.
Don’t silently skip unreadable subdirectories.
When read_dir fails, recursion just returns. That can hide an entire subtree while the batch run still looks green, which defeats the purpose of a corpus audit tool.
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@crates/grida-canvas/examples/tool_svg_batch.rs` around lines 296 - 299,
collect_svg_files_recursive currently returns silently when fs::read_dir(dir)
fails, which hides unreadable subtrees; change it to report or propagate the
error instead of swallowing it: in the function collect_svg_files_recursive,
handle the Err from fs::read_dir(dir) by logging the error (including the dir
path and error details) or returning a Result so the caller can fail the batch
run; ensure the function uses the read_dir Result rather than the current early
return so unreadable directories are visible in output or cause a non-success
exit.
Comment on lines
+345
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346
| #[serde(skip_serializing, default)] | ||
| pub bounds: CGRect, |
There was a problem hiding this comment.
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# Verify the exact current state one more time - lines around IRSVGTextNode
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Add backward-compatibility attribute to text node bounds field.
IRSVGPathNode can deserialize older payloads missing the bounds field due to #[serde(skip_serializing, default)], but IRSVGTextNode.bounds lacks this attribute and will fail to deserialize legacy SVG JSON that predates bounds serialization for text nodes. Since CGRect has a safe Default implementation, adding the same serde attribute resolves the asymmetry:
pub struct IRSVGTextNode {
pub transform: CGTransform2D,
pub text_content: String,
pub fill: Option<SVGFillAttributes>,
pub stroke: Option<SVGStrokeAttributes>,
pub spans: Vec<IRSVGTextSpanNode>,
+ #[serde(default)]
pub bounds: CGRect,
}🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@crates/grida-canvas/src/cg/svg.rs` around lines 345 - 346, IRSVGTextNode
currently lacks the serde attribute that allows deserializing older payloads
missing the bounds field; update the IRSVGTextNode struct to add the same
attribute used on IRSVGPathNode by annotating the bounds field with
#[serde(skip_serializing, default)] so deserialization of legacy SVG JSON
succeeds (target the IRSVGTextNode.bounds field and ensure CGRect's Default is
used).
Comment on lines
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| {contextUsage && contextUsage.usedTokens > 0 && ( | ||
| <ContextIndicator {...contextUsage} /> | ||
| )} | ||
| <PromptInputSubmit status={status} disabled={disabled} /> |
There was a problem hiding this comment.
Don’t coerce an unknown context window to 1.
useContextUsage uses 0 as “unknown”, but this component turns that into 1, so any non-zero usage renders as effectively over capacity. Hide the indicator until maxTokens is known, or add an explicit unknown-state UI.
🐛 Proposed fix
- {contextUsage && contextUsage.usedTokens > 0 && (
+ {contextUsage &&
+ contextUsage.usedTokens > 0 &&
+ contextUsage.maxTokens > 0 && (
<ContextIndicator {...contextUsage} />
)}
@@
- <Context usedTokens={usedTokens} maxTokens={maxTokens || 1} usage={usage}>
+ <Context usedTokens={usedTokens} maxTokens={maxTokens} usage={usage}>Also applies to: 91-93
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@editor/grida-canvas-hosted/ai/scaffold/components/agent-input.tsx` around
lines 76 - 79, The ContextIndicator is shown when contextUsage.usedTokens > 0
but useContextUsage uses 0 to mean “unknown”, causing unknown state to be
treated as non-empty; update the render logic to hide the indicator until
maxTokens is known (e.g., require contextUsage.maxTokens to be truthy) or add an
explicit unknown UI state. Locate the occurrences that render <ContextIndicator
{...contextUsage} /> (around ContextIndicator and where useContextUsage is used)
and change the condition to check that contextUsage.maxTokens is defined/greater
than 0 before showing the indicator (and apply the same change to the other
occurrence at lines ~91-93).
Comment on lines
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| export const gateway = createGateway({ | ||
| headers: { | ||
| "http-referer": "https://grida.co", | ||
| "x-title": "Grida", | ||
| }, | ||
| }); | ||
|
|
||
| /** | ||
| * Return a `LanguageModelV3` instance for the given tier, ready to pass into | ||
| * `streamText()`, `generateText()`, `streamObject()`, etc. | ||
| * | ||
| * Uses the Vercel AI Gateway provider so the same code works across OpenAI, | ||
| * Anthropic, and any other supported backend. | ||
| * | ||
| * @example | ||
| * ```ts | ||
| * import { streamText } from "ai"; | ||
| * import { model } from "@/lib/ai/models"; | ||
| * | ||
| * const result = streamText({ | ||
| * model: model("mini"), | ||
| * prompt: "Hello", | ||
| * }); | ||
| * ``` | ||
| */ | ||
| export function model(tier: ModelTier) { | ||
| return gateway(specs[tier].id); | ||
| } |
There was a problem hiding this comment.
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The centralized model() helper enforces gateway-only architecture but documentation suggests otherwise.
The new model() function unconditionally returns gateway(specs[tier].id) with no fallback for direct provider usage. However, the design comment (line 15) states "when running locally without the gateway you can swap in a direct provider (e.g. openai()) — the IDs are still plain model strings," which is misleading since the implementation doesn't support this. Additionally, .env.example marks AI_GATEWAY_API_KEY as optional while still documenting OPENAI_API_KEY, creating confusion about which setup is actually required.
Either implement a conditional provider fallback based on environment variables, or update the design comment and .env.example to clarify that AI_GATEWAY_API_KEY is mandatory when using the centralized model() helper.
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20
| const { partialOutputStream } = streamText({ | ||
| model: model("mini"), | ||
| prompt: input, | ||
| schema: GENzJSONForm, | ||
| output: Output.object({ schema: GENzJSONForm }), | ||
| }); | ||
|
|
||
| for await (const partialObject of partialObjectStream) { | ||
| for await (const partialObject of partialOutputStream) { | ||
| stream.update(partialObject as any); |
There was a problem hiding this comment.
Ensure the stream is finalized even when errors occur.
If streaming or gist persistence throws, stream.done() is skipped and the client can remain in a pending state indefinitely.
[suggested fix]
Patch
(async () => {
- const { partialOutputStream } = streamText({
- model: model("mini"),
- prompt: input,
- output: Output.object({ schema: GENzJSONForm }),
- });
-
- for await (const partialObject of partialOutputStream) {
- stream.update(partialObject as any);
- }
-
- stream.done();
-
- const final = (stream.value as any)["curr"];
-
- if (gist) {
- const { error, data } = await service_role.forms
- .from("gist")
- .update({
- slug: gist,
- data: {
- "form.json": JSON.stringify(final, null, 2),
- },
- })
- .eq("slug", gist)
- .select()
- .single();
-
- console.log("saved to gist", data?.id, error);
- }
+ let final: unknown;
+ try {
+ const { partialOutputStream } = streamText({
+ model: model("mini"),
+ prompt: input,
+ output: Output.object({ schema: GENzJSONForm }),
+ });
+
+ for await (const partialObject of partialOutputStream) {
+ final = partialObject;
+ stream.update(partialObject as any);
+ }
+
+ if (gist) {
+ const { error, data } = await service_role.forms
+ .from("gist")
+ .update({
+ slug: gist,
+ data: {
+ "form.json": JSON.stringify(final, null, 2),
+ },
+ })
+ .eq("slug", gist)
+ .select()
+ .single();
+
+ console.log("saved to gist", data?.id, error);
+ }
+ } catch (error) {
+ stream.update({
+ error: error instanceof Error ? error.message : String(error),
+ } as any);
+ } finally {
+ stream.done();
+ }
})();🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@editor/scaffolds/playground-forms/actions.ts` around lines 13 - 20, The
streaming loop using partialOutputStream (from streamText) can throw and skip
stream.done(), leaving the client pending; wrap the for-await iteration of
partialOutputStream in a try/finally (and optional catch to surface/log errors)
and call stream.done() in the finally block so stream.done() always runs (ensure
you reference partialOutputStream, stream.update, and stream.done() when making
the change).
Comment on lines
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| const { transform, text_content, fill: textFillAttr, spans, bounds } = | ||
| node; | ||
| const textPosition = map.extractTranslation(transform); | ||
|
|
||
| const fontSize = | ||
| spans.length > 0 && spans[0].font_size != null | ||
| ? spans[0].font_size | ||
| : 16; | ||
|
|
||
| const { paint: textFill } = map.fill(textFillAttr); | ||
|
|
||
| return { | ||
| type: "tspan", | ||
| name: name, | ||
| text: text_content, | ||
| font_size: fontSize, | ||
| font_weight: 400, | ||
| font_kerning: true, | ||
| text_decoration_line: "none", | ||
| text_align: "left", | ||
| text_align_vertical: "top", | ||
| layout_positioning: "absolute", | ||
| layout_inset_left: textPosition.left, | ||
| layout_inset_top: textPosition.top, | ||
| layout_target_width: bounds.width, | ||
| layout_target_height: bounds.height, | ||
| fill: textFill, | ||
| } satisfies grida.program.nodes.TextNodePrototype; |
There was a problem hiding this comment.
Text placement can be wrong because chunk-positioned bounds are ignored.
layout_inset_left/top currently comes from transform translation only. For many SVG texts, actual placement is carried in chunk offsets/bounds, so this can shift text to the wrong position.
Patch
- const { transform, text_content, fill: textFillAttr, spans, bounds } =
- node;
- const textPosition = map.extractTranslation(transform);
+ const { text_content, fill: textFillAttr, spans, bounds } = node;
@@
layout_positioning: "absolute",
- layout_inset_left: textPosition.left,
- layout_inset_top: textPosition.top,
+ layout_inset_left: bounds.x,
+ layout_inset_top: bounds.y,
layout_target_width: bounds.width,
layout_target_height: bounds.height,
fill: textFill,📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
Suggested change
| const { transform, text_content, fill: textFillAttr, spans, bounds } = | |
| node; | |
| const textPosition = map.extractTranslation(transform); | |
| const fontSize = | |
| spans.length > 0 && spans[0].font_size != null | |
| ? spans[0].font_size | |
| : 16; | |
| const { paint: textFill } = map.fill(textFillAttr); | |
| return { | |
| type: "tspan", | |
| name: name, | |
| text: text_content, | |
| font_size: fontSize, | |
| font_weight: 400, | |
| font_kerning: true, | |
| text_decoration_line: "none", | |
| text_align: "left", | |
| text_align_vertical: "top", | |
| layout_positioning: "absolute", | |
| layout_inset_left: textPosition.left, | |
| layout_inset_top: textPosition.top, | |
| layout_target_width: bounds.width, | |
| layout_target_height: bounds.height, | |
| fill: textFill, | |
| } satisfies grida.program.nodes.TextNodePrototype; | |
| const { text_content, fill: textFillAttr, spans, bounds } = | |
| node; | |
| const fontSize = | |
| spans.length > 0 && spans[0].font_size != null | |
| ? spans[0].font_size | |
| : 16; | |
| const { paint: textFill } = map.fill(textFillAttr); | |
| return { | |
| type: "tspan", | |
| name: name, | |
| text: text_content, | |
| font_size: fontSize, | |
| font_weight: 400, | |
| font_kerning: true, | |
| text_decoration_line: "none", | |
| text_align: "left", | |
| text_align_vertical: "top", | |
| layout_positioning: "absolute", | |
| layout_inset_left: bounds.x, | |
| layout_inset_top: bounds.y, | |
| layout_target_width: bounds.width, | |
| layout_target_height: bounds.height, | |
| fill: textFill, | |
| } satisfies grida.program.nodes.TextNodePrototype; |
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@packages/grida-canvas-io-svg/lib.ts` around lines 262 - 289, The text's
layout_inset_left/top are currently set from map.extractTranslation(transform)
only, which ignores per-chunk offsets in node.bounds and causes misplacement;
update the values to incorporate the chunk offsets by adding bounds.x (or
bounds.left) and bounds.y (or bounds.top) to textPosition.left/top respectively
(i.e., layout_inset_left: textPosition.left + bounds.x, layout_inset_top:
textPosition.top + bounds.y) so the TextNodePrototype accounts for
chunk-positioned bounds when computing position.
Comment on lines
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+52
| CREATE OR REPLACE FUNCTION grida_hosted.enqueue_new_organization_event() | ||
| RETURNS trigger | ||
| LANGUAGE plpgsql | ||
| SECURITY DEFINER | ||
| SET search_path = pg_catalog, public | ||
| AS $$ | ||
| BEGIN | ||
| PERFORM pgmq.send( | ||
| queue_name := 'grida_hosted_evt_new_organization_jobs'::text, | ||
| msg := jsonb_build_object( | ||
| 'object', 'evt_new_organization', | ||
| 'organization_id', NEW.id, | ||
| 'timestamp', now() | ||
| ) | ||
| ); | ||
| RETURN NEW; | ||
| END; | ||
| $$; |
There was a problem hiding this comment.
Missing REVOKE ALL for grida_hosted.enqueue_new_organization_event().
The enqueue_object_embedding_job() function correctly has REVOKE ALL ... FROM PUBLIC (line 29), but grida_hosted.enqueue_new_organization_event() lacks the same protection. For consistency and to follow the SECURITY DEFINER lockdown pattern, add the revoke statement.
🔒 Proposed fix
END;
$$;
+
+-- Lock down: SECURITY DEFINER must not be callable by untrusted roles.
+REVOKE ALL ON FUNCTION grida_hosted.enqueue_new_organization_event() FROM PUBLIC;As per coding guidelines: "For SECURITY DEFINER functions... lock down privileges and set a safe search_path."
📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
Suggested change
| CREATE OR REPLACE FUNCTION grida_hosted.enqueue_new_organization_event() | |
| RETURNS trigger | |
| LANGUAGE plpgsql | |
| SECURITY DEFINER | |
| SET search_path = pg_catalog, public | |
| AS $$ | |
| BEGIN | |
| PERFORM pgmq.send( | |
| queue_name := 'grida_hosted_evt_new_organization_jobs'::text, | |
| msg := jsonb_build_object( | |
| 'object', 'evt_new_organization', | |
| 'organization_id', NEW.id, | |
| 'timestamp', now() | |
| ) | |
| ); | |
| RETURN NEW; | |
| END; | |
| $$; | |
| CREATE OR REPLACE FUNCTION grida_hosted.enqueue_new_organization_event() | |
| RETURNS trigger | |
| LANGUAGE plpgsql | |
| SECURITY DEFINER | |
| SET search_path = pg_catalog, public | |
| AS $$ | |
| BEGIN | |
| PERFORM pgmq.send( | |
| queue_name := 'grida_hosted_evt_new_organization_jobs'::text, | |
| msg := jsonb_build_object( | |
| 'object', 'evt_new_organization', | |
| 'organization_id', NEW.id, | |
| 'timestamp', now() | |
| ) | |
| ); | |
| RETURN NEW; | |
| END; | |
| $$; | |
| -- Lock down: SECURITY DEFINER must not be callable by untrusted roles. | |
| REVOKE ALL ON FUNCTION grida_hosted.enqueue_new_organization_event() FROM PUBLIC; |
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@supabase/migrations/20260209000001_pgmq_trigger_security_definer.sql` around
lines 35 - 52, Add a REVOKE ALL ON FUNCTION statement for the SECURITY DEFINER
function grida_hosted.enqueue_new_organization_event() to match the lockdown
pattern used by enqueue_object_embedding_job(); specifically, after the function
definition (after $$;), add "REVOKE ALL ON FUNCTION
grida_hosted.enqueue_new_organization_event() FROM PUBLIC" so the function's
privileges are revoked from PUBLIC and follow the same SECURITY DEFINER
hardening.
There was a problem hiding this comment.
Actionable comments posted: 1
🤖 Prompt for all review comments with AI agents
Verify each finding against the current code and only fix it if needed.
Inline comments:
In `@docs/models/index.md`:
- Around line 65-69: The docs row for "GPT Image 1.5" incorrectly lists Max Size
as 1536x1536; inspect editor/lib/ai/ai.ts for the gpt-image-1.5 sizes
([1024,1024], [1536,1024], [1024,1536]) and update docs/models/index.md so the
max reflects 1536 in one dimension only (e.g., "Max Size: 1536x1024 / 1024x1536"
or "Max Size: 1536×1024 (one dimension)"), and ensure the Supported Aspect
Ratios remain consistent with those sizes (1:1, 2:3, 3:2).
🪄 Autofix (Beta)
Fix all unresolved CodeRabbit comments on this PR:
- Push a commit to this branch (recommended)
- Create a new PR with the fixes
ℹ️ Review info
⚙️ Run configuration
Configuration used: Organization UI
Review profile: CHILL
Plan: Pro
Run ID: a0fa02fd-141d-4b41-9758-2bd62a67bac5
📒 Files selected for processing (2)
apps/docs/sidebars.jsdocs/models/index.md
Comment on lines
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+69
| | Model | Min Size | Max Size | Supported Aspect Ratios | | ||
| | ---------------- | --------- | --------- | ----------------------- | | ||
| | GPT Image 1.5 | 1024x1024 | 1536x1536 | 1:1, 2:3, 3:2 | | ||
| | Flux Kontext Max | — | 1820x1820 | Any (freeform) | | ||
| | Flux Pro 1.1 | 256x256 | 1440x1440 | Any (freeform) | |
There was a problem hiding this comment.
GPT Image 1.5 max size is potentially incorrect.
The documentation states "Max Size: 1536x1536", but per editor/lib/ai/ai.ts, the supported sizes for gpt-image-1.5 are [1024, 1024], [1536, 1024], and [1024, 1536]. The 1536×1536 square isn't actually supported—the maximum is 1536 in one dimension with 1024 in the other.
Consider updating to reflect the actual constraints:
📝 Suggested fix
| Model | Min Size | Max Size | Supported Aspect Ratios |
| ---------------- | --------- | --------- | ----------------------- |
-| GPT Image 1.5 | 1024x1024 | 1536x1536 | 1:1, 2:3, 3:2 |
+| GPT Image 1.5 | 1024x1024 | 1536x1024 | 1:1, 2:3, 3:2 |
| Flux Kontext Max | — | 1820x1820 | Any (freeform) |📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
Suggested change
| | Model | Min Size | Max Size | Supported Aspect Ratios | | |
| | ---------------- | --------- | --------- | ----------------------- | | |
| | GPT Image 1.5 | 1024x1024 | 1536x1536 | 1:1, 2:3, 3:2 | | |
| | Flux Kontext Max | — | 1820x1820 | Any (freeform) | | |
| | Flux Pro 1.1 | 256x256 | 1440x1440 | Any (freeform) | | |
| | Model | Min Size | Max Size | Supported Aspect Ratios | | |
| | ---------------- | --------- | --------- | ----------------------- | | |
| | GPT Image 1.5 | 1024x1024 | 1536x1024 | 1:1, 2:3, 3:2 | | |
| | Flux Kontext Max | — | 1820x1820 | Any (freeform) | | |
| | Flux Pro 1.1 | 256x256 | 1440x1440 | Any (freeform) | |
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@docs/models/index.md` around lines 65 - 69, The docs row for "GPT Image 1.5"
incorrectly lists Max Size as 1536x1536; inspect editor/lib/ai/ai.ts for the
gpt-image-1.5 sizes ([1024,1024], [1536,1024], [1024,1536]) and update
docs/models/index.md so the max reflects 1536 in one dimension only (e.g., "Max
Size: 1536x1024 / 1024x1536" or "Max Size: 1536×1024 (one dimension)"), and
ensure the Supported Aspect Ratios remain consistent with those sizes (1:1, 2:3,
3:2).
- Updated the `sanitize_svg` function to correctly handle XML comments and CDATA sections, ensuring that ampersands within these constructs are preserved and not escaped. - Introduced a new helper function, `find_subsequence`, to facilitate the detection of comment and CDATA boundaries. - Added comprehensive tests to validate the preservation of ampersands in various scenarios, including unclosed comments and CDATA sections. These improvements enhance the robustness of SVG sanitization, ensuring better handling of XML content in user-generated SVGs.
- Updated the `into_tree` function to load embedded fonts before system fonts, ensuring that generic CSS family mappings are preserved. - Enhanced comments for clarity on the font loading process and its implications for text rendering in SVGs. - Removed redundant font loading calls to streamline the font database setup. These changes improve the reliability of font handling in SVG processing, ensuring better text rendering across different environments.
There was a problem hiding this comment.
Actionable comments posted: 1
🤖 Prompt for all review comments with AI agents
Verify each finding against the current code and only fix it if needed.
Inline comments:
In `@crates/grida-canvas/src/svg/from_usvg_tree.rs`:
- Around line 25-26: Replace the platform cfg around the system-font loading
call so it excludes all WASM targets; specifically change the attribute guarding
options.fontdb_mut().load_system_fonts() from #[cfg(not(target_os =
"emscripten"))] to #[cfg(not(target_arch = "wasm32"))] so that the
load_system_fonts() call is skipped on wasm32 targets (matching
webfont_helper.rs and resources/mod.rs).
🪄 Autofix (Beta)
Fix all unresolved CodeRabbit comments on this PR:
- Push a commit to this branch (recommended)
- Create a new PR with the fixes
ℹ️ Review info
⚙️ Run configuration
Configuration used: Organization UI
Review profile: CHILL
Plan: Pro
Run ID: 8fe7c381-751f-469d-9b26-c538d3e4aa84
📒 Files selected for processing (1)
crates/grida-canvas/src/svg/from_usvg_tree.rs
Comment on lines
+25
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26
| #[cfg(not(target_os = "emscripten"))] | ||
| options.fontdb_mut().load_system_fonts(); |
There was a problem hiding this comment.
🧩 Analysis chain
🏁 Script executed:
#!/bin/bash
# Check if there are other WASM-related cfg conditions in the codebase
rg -n '#\[cfg.*wasm' --type rust
rg -n 'target_arch.*wasm32' --type rust
rg -n 'target_os.*emscripten' --type rustRepository: gridaco/grida
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cat -n crates/grida-canvas/src/svg/from_usvg_tree.rs | head -40Repository: gridaco/grida
Length of output: 1981
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cat -n crates/grida-canvas/src/helpers/webfont_helper.rs | sed -n '75,85p'Repository: gridaco/grida
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Use #[cfg(not(target_arch = "wasm32"))] to exclude all WASM targets, not just Emscripten.
The current condition only excludes target_os = "emscripten", but the standard WASM target wasm32-unknown-unknown would still attempt to load system fonts, which are unavailable in WASM environments. This is inconsistent with similar operations in webfont_helper.rs and resources/mod.rs, which use target_arch = "wasm32" for WASM exclusion.
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@crates/grida-canvas/src/svg/from_usvg_tree.rs` around lines 25 - 26, Replace
the platform cfg around the system-font loading call so it excludes all WASM
targets; specifically change the attribute guarding
options.fontdb_mut().load_system_fonts() from #[cfg(not(target_os =
"emscripten"))] to #[cfg(not(target_arch = "wasm32"))] so that the
load_system_fonts() call is skipped on wasm32 targets (matching
webfont_helper.rs and resources/mod.rs).
- Added `#![allow(dead_code)]` to `exp_impl_telement.rs` to suppress warnings for unused code in the experimental Stylo DOM adapter. - Renamed `elapsed_ms` to `_elapsed_ms` in `tool_svg_batch.rs` to indicate that the variable is intentionally unused, improving code clarity. - Simplified assertions in the test for `html.rs` by removing unnecessary conditional checks, enhancing readability. These changes improve the maintainability and clarity of the example files in the project.
There was a problem hiding this comment.
♻️ Duplicate comments (3)
crates/grida-canvas/examples/tool_svg_batch.rs (3)
296-300:⚠️ Potential issue | 🟠 MajorDon’t silently swallow directory traversal errors.
Line 297 (
read_dirfailure) and Line 300 (entries.flatten()) can hide unreadable trees/entries, making corpus checks look healthy when they are incomplete.🐛 Proposed fix
-fn collect_svg_files(dir: &Path) -> Vec<PathBuf> { +fn collect_svg_files(dir: &Path) -> Result<Vec<PathBuf>, std::io::Error> { let mut files = Vec::new(); - collect_svg_files_recursive(dir, &mut files); + collect_svg_files_recursive(dir, &mut files)?; files.sort(); - files + Ok(files) } -fn collect_svg_files_recursive(dir: &Path, files: &mut Vec<PathBuf>) { - let Ok(entries) = fs::read_dir(dir) else { - return; - }; - for entry in entries.flatten() { +fn collect_svg_files_recursive(dir: &Path, files: &mut Vec<PathBuf>) -> Result<(), std::io::Error> { + let entries = fs::read_dir(dir)?; + for entry in entries { + let entry = entry?; let path = entry.path(); if path.is_dir() { - collect_svg_files_recursive(&path, files); + collect_svg_files_recursive(&path, files)?; } else if path.extension().is_some_and(|ext| ext == "svg") { files.push(path); } } + Ok(()) }- let svg_files = collect_svg_files(dir); + let svg_files = match collect_svg_files(dir) { + Ok(files) => files, + Err(err) => { + eprintln!("Error while scanning {}: {}", dir.display(), err); + std::process::exit(1); + } + };🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@crates/grida-canvas/examples/tool_svg_batch.rs` around lines 296 - 300, collect_svg_files_recursive currently swallows errors from fs::read_dir and entries.flatten, hiding unreadable directories and broken entries; modify the function to propagate or at least log errors instead of returning silently: when calling fs::read_dir(dir) handle the Err case by returning a Result or logging the error (include the dir path and error), and iterate over entries with explicit handling of each entry's Result (don't use entries.flatten()) so you can log or propagate entry.errors; update the function signature (e.g., collect_svg_files_recursive -> return Result<(), std::io::Error> or accept a &mut Vec<(PathBuf, std::io::Error)>) and adjust callers accordingly to surface traversal failures.
154-164:⚠️ Potential issue | 🟠 MajorCount read failures in the final failure gate and failure report.
Line 154 only fails on optimize/pack errors, so
READ_ERRcases can still end with success. Include read errors in both the condition and printed failures.🐛 Proposed fix
- if pack_fail > 0 || optimize_fail > 0 { + if read_errors > 0 || pack_fail > 0 || optimize_fail > 0 { println!("\n--- Failures ---"); for r in &results { + if let Some(error) = &r.read_error { + println!(" FAIL read {} => {}", r.path.display(), error); + } if let Some(StepResult::Err { error, .. }) = &r.optimize { println!(" FAIL optimize {} => {}", r.path.display(), error); } if let Some(StepResult::Err { error, .. }) = &r.pack { println!(" FAIL pack {} => {}", r.path.display(), error); } } std::process::exit(1);🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@crates/grida-canvas/examples/tool_svg_batch.rs` around lines 154 - 164, The final failure check only considers pack_fail and optimize_fail, so read failures are ignored; update the exit gate to include read_fail (e.g., change the if to if pack_fail > 0 || optimize_fail > 0 || read_fail > 0) and extend the results loop to also detect StepResult::Err for the read step (check &r.read and print a "FAIL read <path> => <error>" line) so read errors are reported and cause the process to exit with code 1.
214-239:⚠️ Potential issue | 🟠 MajorTreat packed-scene deserialization failure as a pack failure.
Line 234 currently converts a broken packed payload into an
Okinfo string, which masks pack regressions.🐛 Proposed fix
Ok(json) => { let elapsed = start.elapsed().as_secs_f64() * 1000.0; // Parse back to get stats let info = match serde_json::from_str::<SVGPackedScene>(&json) { Ok(scene) => { @@ ) } } - Err(err) => format!("packed but failed to deserialize: {}", err), + Err(err) => { + return StepResult::Err { + _elapsed_ms: elapsed, + error: format!("packed but failed to deserialize: {}", err), + }; + } }; StepResult::Ok { _elapsed_ms: elapsed, info, }🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@crates/grida-canvas/examples/tool_svg_batch.rs` around lines 214 - 239, The code currently maps a deserialization Err into an Ok info string (inside the match over serde_json::from_str::<SVGPackedScene>(&json)) which hides packing failures; change the Err branch so it returns a failing StepResult (e.g. a PackFailed/Err variant) instead of producing an Ok info string: detect the deserialization error in the match over SVGPackedScene, construct and return the appropriate StepResult failure variant with the error message and elapsed time (rather than assigning info and falling through to StepResult::Ok), keeping the successful branch that uses count_ir_nodes and formats info unchanged.
🤖 Prompt for all review comments with AI agents
Verify each finding against the current code and only fix it if needed.
Duplicate comments:
In `@crates/grida-canvas/examples/tool_svg_batch.rs`:
- Around line 296-300: collect_svg_files_recursive currently swallows errors
from fs::read_dir and entries.flatten, hiding unreadable directories and broken
entries; modify the function to propagate or at least log errors instead of
returning silently: when calling fs::read_dir(dir) handle the Err case by
returning a Result or logging the error (include the dir path and error), and
iterate over entries with explicit handling of each entry's Result (don't use
entries.flatten()) so you can log or propagate entry.errors; update the function
signature (e.g., collect_svg_files_recursive -> return Result<(),
std::io::Error> or accept a &mut Vec<(PathBuf, std::io::Error)>) and adjust
callers accordingly to surface traversal failures.
- Around line 154-164: The final failure check only considers pack_fail and
optimize_fail, so read failures are ignored; update the exit gate to include
read_fail (e.g., change the if to if pack_fail > 0 || optimize_fail > 0 ||
read_fail > 0) and extend the results loop to also detect StepResult::Err for
the read step (check &r.read and print a "FAIL read <path> => <error>" line)
so read errors are reported and cause the process to exit with code 1.
- Around line 214-239: The code currently maps a deserialization Err into an Ok
info string (inside the match over
serde_json::from_str::<SVGPackedScene>(&json)) which hides packing failures;
change the Err branch so it returns a failing StepResult (e.g. a PackFailed/Err
variant) instead of producing an Ok info string: detect the deserialization
error in the match over SVGPackedScene, construct and return the appropriate
StepResult failure variant with the error message and elapsed time (rather than
assigning info and falling through to StepResult::Ok), keeping the successful
branch that uses count_ir_nodes and formats info unchanged.
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📒 Files selected for processing (3)
crates/csscascade/examples/exp_impl_telement.rscrates/grida-canvas/examples/tool_svg_batch.rscrates/grida-text-edit/src/attributed_text/html.rs
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These changes enhance the AI generation capabilities and ensure compliance with OpenAI's requirements for structured outputs.
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New Features
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Tests
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