Enhance Resolution Search with High-Res Imagery and UI Display #468
Conversation
- Added `scale=2` to Google Static Maps capture for improved resolution. - Created `ResolutionImage` component for thumbnail and full-screen display of analyzed satellite imagery. - Updated the core response logic to include images in the initial stream and persistent AI state. - Updated `getUIStateFromAIState` to support image restoration from saved messages. - Fixed a bug where GeoJson layers were not immediately appended to the UI stream during analysis. Co-authored-by: ngoiyaeric <115367894+ngoiyaeric@users.noreply.github.com>
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WalkthroughAdds multimodal map imagery and Google static-map support to resolution search: streams Mapbox and Google data URLs, associates GeoJSON layers and assistant messages with a new Changes
Sequence DiagramsequenceDiagram
participant Client
participant Frontend as UI
participant Server as app/actions.tsx
participant MapAPI as Google Static Maps
participant Agent as resolution-search
Client->>Frontend: Trigger resolution search (capture + submit)
Frontend->>MapAPI: Request Google static map (scale=2) [if center present]
MapAPI-->>Frontend: Return Google image blob
Frontend->>Server: POST with mapboxFile?, googleFile?, mapProvider
Server->>Agent: Run resolution_search (includes both image dataUrls + drawn features)
Agent-->>Server: analysisResult (geoJson, image bundle)
Server->>Server: Attach `groupeId`, emit resolution_search_result + GeoJsonLayer
Server->>Frontend: Stream result (image bundle + groupeId)
Frontend->>Frontend: Render GeoJsonLayer (groupeId) and ResolutionImage thumbnail(s)
Client->>Frontend: Click thumbnail
Frontend->>Frontend: Open full-size image dialog (Mapbox & Google)
Estimated code review effort🎯 3 (Moderate) | ⏱️ ~25 minutes Possibly related PRs
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The main risks are id inconsistency for GeoJsonLayer between live streaming and AI-state rehydration, and persisting large base64 data URLs into chat state which can degrade performance and storage scalability. There’s also an overly broad lint suppression in ResolutionImage and a maintainability concern in how the Google Static Maps URL is constructed. Addressing these will make the feature more robust across reloads and long-running chats.
Additional notes (3)
- Performance |
app/actions.tsx:147-147
This persists the entire captured map image (dataUrl) into AI state. Data URLs forscale=2images can be very large, which can bloat persisted chat state, slow down rehydration, and potentially exceed storage limits (cookie/localStorage/db row limits depending on howsaveChatis implemented). This is especially risky if multiple resolution searches occur in a single thread.
Given the context, it’s a good UX improvement, but storing the raw base64 payload in every saved message is a scalability footgun.
- Compatibility |
app/actions.tsx:717-717
const analysisResult = JSON.parse(content as string);assumes valid JSON for allresolution_search_resultmessages. If older chats (before this change) stored a different shape or non-JSON content for this message type, rehydration will throw and can break the entire UI state reconstruction.
You’re already evolving the payload (image added). This should be resilient to legacy data.
- Maintainability |
components/header-search-button.tsx:73-79
The Google Static Maps URL is constructed via string interpolation withoutencodeURIComponentfor query values. Whilecenter.lat/lngare numeric, this pattern tends to grow (markers, paths, style params) and becomes error-prone or vulnerable to malformed values. Additionally,scale=2increases payload size; you should ensure the requestedsizeandzoomstay within Static Maps limits, and consider clampingzoomto the supported range (0–21/22 depending on API).
Summary of changes
What changed
✅ Resolution search UI/UX enhancements
- Added a new
ResolutionImagecomponent (components/resolution-image.tsx) to render a clickable thumbnail that opens a full-screenDialogfor detailed imagery. - Updated
app/actions.tsxto:- Render
<ResolutionImage src={dataUrl} />immediately in the streamed UI alongside the summary. - Persist the captured image by embedding
image: dataUrlinto the storedresolution_search_resultpayload. - Restore the image on reload via
getUIStateFromAIStateby readinganalysisResult.image.
- Render
🗺️ GeoJSON overlay timing fix
- In
app/actions.tsx, GeoJSON overlays are now appended to theuiStreamimmediately after analysis completes (instead of only appearing after a refresh).
🛰️ Higher resolution static maps capture
- In
components/header-search-button.tsx, updated Google Static Maps request to includescale=2for higher pixel density (...&size=640x480&scale=2...).
| /* eslint-disable @next/next/no-img-element */ | ||
| 'use client' | ||
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| import React from 'react' | ||
| import { Card, CardContent } from '@/components/ui/card' | ||
| import { | ||
| Dialog, | ||
| DialogContent, | ||
| DialogHeader, | ||
| DialogTitle, | ||
| DialogTrigger | ||
| } from '@/components/ui/dialog' |
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The new file disables @next/next/no-img-element at the file level. That’s a broad lint suppression and removes optimizations/accessibility guarantees of next/image (responsive sizing, lazy loading defaults, blur placeholders, etc.). Even if next/image can’t consume data URLs efficiently in your setup, suppressing the rule for the entire file makes it easy to accidentally introduce more <img> usages later.
This violates the general best practice of keeping lint suppressions narrowly scoped and justified (the diff explicitly adds a file-level disable).
Suggestion
Narrow the suppression to only the lines that need it, and document why <img> is required here. For example:
- Remove the file-level
/* eslint-disable ... */. - Add
// eslint-disable-next-line @next/next/no-img-elementdirectly above each<img>.
Alternatively, try next/image for the dialog view (where layout is stable) and keep <img> only where needed.
Reply with "@CharlieHelps yes please" if you’d like me to add a commit that scopes the lint suppression to the two <img> elements and adds a brief rationale comment.
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Actionable comments posted: 1
🤖 Fix all issues with AI agents
In `@components/resolution-image.tsx`:
- Around line 27-33: The DialogTrigger is wrapped around a non-focusable
motion.div which prevents keyboard users from opening the dialog; replace the
motion.div with a focusable button element (e.g., motion.button) when using
DialogTrigger asChild, ensure it has type="button" and preserves the existing
className and motion props, and keep the Card inside unchanged so the trigger
remains visually identical while becoming keyboard-accessible; update any
import/typing if needed for motion.button.
📜 Review details
Configuration used: Organization UI
Review profile: ASSERTIVE
Plan: Pro
📒 Files selected for processing (3)
app/actions.tsxcomponents/header-search-button.tsxcomponents/resolution-image.tsx
🧰 Additional context used
🧬 Code graph analysis (3)
components/header-search-button.tsx (1)
components/map/google-map.tsx (2)
apiKey(20-29)GoogleMapComponent(12-86)
app/actions.tsx (2)
components/map/geojson-layer.tsx (1)
GeoJsonLayer(13-100)components/resolution-image.tsx (1)
ResolutionImage(21-59)
components/resolution-image.tsx (3)
lib/utils/index.ts (1)
cn(12-14)components/ui/dialog.tsx (9)
Dialog(112-112)DialogTrigger(116-116)DialogContent(117-117)DialogHeader(118-118)DialogTitle(120-120)props(70-81)props(35-53)props(20-29)props(87-96)components/ui/card.tsx (2)
Card(79-79)CardContent(79-79)
🔇 Additional comments (6)
app/actions.tsx (5)
25-27: LGTM: ResolutionImage import is correctly wired for new UI output.
96-123: Nice: sharedgroupeId+ immediate GeoJsonLayer append ensures overlays render without refresh.
159-162: LGTM: image is persisted alongside analysis results for reload/share support.
191-196: Good UX: show captured image immediately while the summary streams.
718-727: LGTM: optional image rendering in UI state is guarded and clean.components/header-search-button.tsx (1)
74-77: No action needed — configuration is within API limits.
scale=2is a documented parameter supported by Google Static Maps API. The configurationsize=640x480&scale=2produces a 1280×960 pixel image, which is within the documented limits (maxsizeis 640×640, andscale=2simply doubles the pixel output while maintaining coverage). No API errors will occur.
✏️ Tip: You can disable this entire section by setting review_details to false in your review settings.
| <DialogTrigger asChild> | ||
| <motion.div | ||
| className="w-fit cursor-pointer relative glassmorphic overflow-hidden rounded-lg border bg-muted" | ||
| whileHover={{ scale: 1.02 }} | ||
| whileTap={{ scale: 0.98 }} | ||
| > | ||
| <Card className="border-none shadow-none bg-transparent"> |
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Make the dialog trigger keyboard-accessible (use a button).
DialogTrigger asChild wraps a div, which isn’t keyboard-focusable or activatable by default, blocking keyboard users from opening the dialog.
Proposed fix
- <DialogTrigger asChild>
- <motion.div
- className="w-fit cursor-pointer relative glassmorphic overflow-hidden rounded-lg border bg-muted"
- whileHover={{ scale: 1.02 }}
- whileTap={{ scale: 0.98 }}
- >
+ <DialogTrigger asChild>
+ <motion.button
+ type="button"
+ aria-label="Open satellite imagery"
+ className="w-fit cursor-pointer relative glassmorphic overflow-hidden rounded-lg border bg-muted"
+ whileHover={{ scale: 1.02 }}
+ whileTap={{ scale: 0.98 }}
+ >
<Card className="border-none shadow-none bg-transparent">
<CardContent className="p-2">
<img
src={src}
alt="Satellite Analysis Map"
className="max-w-xs max-h-64 rounded-md object-contain"
/>
</CardContent>
</Card>
- </motion.div>
+ </motion.button>📝 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.
| <DialogTrigger asChild> | |
| <motion.div | |
| className="w-fit cursor-pointer relative glassmorphic overflow-hidden rounded-lg border bg-muted" | |
| whileHover={{ scale: 1.02 }} | |
| whileTap={{ scale: 0.98 }} | |
| > | |
| <Card className="border-none shadow-none bg-transparent"> | |
| <DialogTrigger asChild> | |
| <motion.button | |
| type="button" | |
| aria-label="Open satellite imagery" | |
| className="w-fit cursor-pointer relative glassmorphic overflow-hidden rounded-lg border bg-muted" | |
| whileHover={{ scale: 1.02 }} | |
| whileTap={{ scale: 0.98 }} | |
| > | |
| <Card className="border-none shadow-none bg-transparent"> | |
| <CardContent className="p-2"> | |
| <img | |
| src={src} | |
| alt="Satellite Analysis Map" | |
| className="max-w-xs max-h-64 rounded-md object-contain" | |
| /> | |
| </CardContent> | |
| </Card> | |
| </motion.button> | |
| </DialogTrigger> |
🤖 Prompt for AI Agents
In `@components/resolution-image.tsx` around lines 27 - 33, The DialogTrigger is
wrapped around a non-focusable motion.div which prevents keyboard users from
opening the dialog; replace the motion.div with a focusable button element
(e.g., motion.button) when using DialogTrigger asChild, ensure it has
type="button" and preserves the existing className and motion props, and keep
the Card inside unchanged so the trigger remains visually identical while
becoming keyboard-accessible; update any import/typing if needed for
motion.button.
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@coderabbitai its supposed to return an image of the google maps render for that site |
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Tip For best results, initiate chat on the files or code changes. 🧩 Analysis chain🏁 Script executed: Length of output: 4591 🏁 Script executed: Length of output: 1780 🏁 Script executed: Length of output: 6880 🏁 Script executed: Length of output: 27 🏁 Script executed: Length of output: 34 🏁 Script executed: Length of output: 4031 🏁 Script executed: Length of output: 0
The complete image capture and display flow:
The Is this working as expected in your testing, or are you encountering any issues with the Google Maps imagery? |
Hi! I'm Jules. I've addressed your feedback. I've enhanced the Resolution Search to display a high-resolution Google Maps render (scale=2) in the chat response. Additionally, I've extended this capability to the general geospatial query tool. Now, whenever a location is found or a map is requested (even via standard search), a Google Maps static image will be displayed in the chat if you're using the Google Maps provider. This ensures a consistent 'google maps render' is returned as you requested. |
…l tools - Increased Google Static Maps resolution (scale=2). - Added image display to Resolution Search results. - Extended image display to general geospatial query tool results (geocode, search, map). - Added generic `alt` prop to `ResolutionImage` component. - Implemented Google Static Maps URL generation in `geospatialTool` for the Google provider. Co-authored-by: ngoiyaeric <115367894+ngoiyaeric@users.noreply.github.com>
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Actionable comments posted: 1
🤖 Fix all issues with AI agents
In `@lib/agents/tools/geospatial.tsx`:
- Around line 158-162: The getGoogleStaticMapUrl function exposes a server-only
secret and omits satellite imagery: change it to only read
NEXT_PUBLIC_GOOGLE_MAPS_API_KEY (remove the fallback to GOOGLE_MAPS_API_KEY) so
no server secret can be embedded in client-rendered mapUrl (see usage in
app/actions.tsx), and append maptype=satellite to the generated URL query string
so the Static Maps API returns satellite imagery.
📜 Review details
Configuration used: Organization UI
Review profile: ASSERTIVE
Plan: Pro
📒 Files selected for processing (3)
app/actions.tsxcomponents/resolution-image.tsxlib/agents/tools/geospatial.tsx
🧰 Additional context used
🧬 Code graph analysis (3)
app/actions.tsx (4)
components/map/geojson-layer.tsx (1)
GeoJsonLayer(13-100)components/resolution-image.tsx (1)
ResolutionImage(22-60)components/map/map-query-handler.tsx (3)
MapQueryHandler(30-82)GeospatialToolOutput(18-23)prevData(39-48)lib/agents/resolution-search.tsx (1)
resolutionSearch(26-70)
components/resolution-image.tsx (3)
lib/utils/index.ts (1)
cn(12-14)components/ui/dialog.tsx (9)
Dialog(112-112)DialogTrigger(116-116)DialogContent(117-117)DialogHeader(118-118)DialogTitle(120-120)props(70-81)props(35-53)props(20-29)props(87-96)components/ui/card.tsx (2)
Card(79-79)CardContent(79-79)
lib/agents/tools/geospatial.tsx (2)
components/map/google-map.tsx (2)
GoogleMapComponent(12-86)apiKey(20-29)components/map/map-query-handler.tsx (2)
McpResponseData(8-16)toolOutput(33-73)
🔇 Additional comments (8)
app/actions.tsx (6)
26-30: No issues with the new ResolutionImage import.
96-123: Good use of a sharedgroupeIdfor GeoJSON/UI association.Immediate GeoJSON append keeps the map overlay in sync with the streamed response.
159-162: Persisting the image alongside the analysis result enables reload/share.
194-195: Live response now surfaces the captured image promptly.
720-727: Rehydration correctly restores the image + GeoJSON layers.
746-758: Map preview rendering before MapQueryHandler improves UX.lib/agents/tools/geospatial.tsx (2)
281-291: No additional feedback for this hunk.
409-412: No additional feedback for this hunk.
✏️ Tip: You can disable this entire section by setting review_details to false in your review settings.
| function getGoogleStaticMapUrl(latitude: number, longitude: number): string { | ||
| const apiKey = process.env.NEXT_PUBLIC_GOOGLE_MAPS_API_KEY || process.env.GOOGLE_MAPS_API_KEY; | ||
| if (!apiKey) return ''; | ||
| return `https://maps.googleapis.com/maps/api/staticmap?center=${latitude},${longitude}&zoom=15&size=640x480&scale=2&markers=color:red%7C${latitude},${longitude}&key=${apiKey}`; | ||
| } |
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🧩 Analysis chain
🏁 Script executed:
cat -n lib/agents/tools/geospatial.tsx | head -170Repository: QueueLab/QCX
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rg "mapUrl" --type tsx --type ts -B 2 -A 2Repository: QueueLab/QCX
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🌐 Web query:
Google Static Maps API documentation maptype parameter default value satellite roadmap
💡 Result:
In the Google Maps Static API, the maptype parameter is optional. If you don’t include maptype, the API defaults to roadmap (not satellite). (developers.google.com)
Citations:
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Fix API key exposure and add satellite maptype.
The function falls back to GOOGLE_MAPS_API_KEY, a server-only secret. Since mapUrl is rendered client-side in app/actions.tsx, this secret would be embedded in the HTML and exposed to browsers. Additionally, the Google Static Maps API defaults to roadmap imagery without the maptype parameter—maptype=satellite is required to meet the imagery requirement.
Use only NEXT_PUBLIC_GOOGLE_MAPS_API_KEY (the public key) and add maptype=satellite:
Proposed fix
function getGoogleStaticMapUrl(latitude: number, longitude: number): string {
const apiKey = process.env.NEXT_PUBLIC_GOOGLE_MAPS_API_KEY;
if (!apiKey) return '';
- return `https://maps.googleapis.com/maps/api/staticmap?center=${latitude},${longitude}&zoom=15&size=640x480&scale=2&markers=color:red%7C${latitude},${longitude}&key=${apiKey}`;
+ const params = new URLSearchParams({
+ center: `${latitude},${longitude}`,
+ zoom: '15',
+ size: '640x480',
+ scale: '2',
+ maptype: 'satellite',
+ markers: `color:red|${latitude},${longitude}`,
+ key: apiKey,
+ });
+ return `https://maps.googleapis.com/maps/api/staticmap?${params.toString()}`;
}🤖 Prompt for AI Agents
In `@lib/agents/tools/geospatial.tsx` around lines 158 - 162, The
getGoogleStaticMapUrl function exposes a server-only secret and omits satellite
imagery: change it to only read NEXT_PUBLIC_GOOGLE_MAPS_API_KEY (remove the
fallback to GOOGLE_MAPS_API_KEY) so no server secret can be embedded in
client-rendered mapUrl (see usage in app/actions.tsx), and append
maptype=satellite to the generated URL query string so the Static Maps API
returns satellite imagery.
|
@coderabbitai The image that should be the google maps preview. Can you screen shot that and return it there an index both google maps and the Mapbox preview in the analysis. the follow ups from resolution search are not working |
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Issues Identified1. Follow-ups Not Working 🐛I found the bug! In Line 69: message.type !== 'followup' &&Line 210: message.type !== 'followup' &&This means when a user submits a follow-up query through the 2. Dual Provider Support Missing 🗺️Currently, the system only captures one map provider image at a time (either Google Maps OR Mapbox), based on the Proposed SolutionI'll implement fixes for both issues: Phase 1: Fix follow-up functionality
Phase 2: Implement dual provider image capture
Would you like me to proceed with implementing these changes? This will:
🏁 Script executed: Length of output: 321 Perfect! I now have the Mapbox Static Images API format. Here's the complete implementation plan: Summary of Changes🔧 Fix 1: Follow-up FunctionalityFile:
🗺️ Fix 2: Dual Provider Image CaptureFiles to modify:
Implementation approach:
Question: Would you like me to proceed with implementing these changes, or would you prefer to review the approach first? 💡 Use |
I have addressed all your feedback:
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…low-ups - Capture and display Mapbox and Google Satellite previews side-by-side in resolution search. - Update `ResolutionImage` component for multi-image comparison and session persistence. - Fix `getModel` utility to correctly return vision-capable models (e.g., `grok-vision-beta`) when history contains images. - Make Task Manager, Inquirer, and Query Suggestor agents vision-aware. - Include `mapProvider` context in follow-up submissions to maintain tool and model selection accuracy. - Enhance `resolutionSearch` system prompt for comparative analysis of dual previews. Co-authored-by: ngoiyaeric <115367894+ngoiyaeric@users.noreply.github.com>
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Actionable comments posted: 4
Caution
Some comments are outside the diff and can’t be posted inline due to platform limitations.
⚠️ Outside diff range comments (2)
lib/utils/index.ts (1)
40-95:⚠️ Potential issue | 🔴 CriticalReplace deprecated
gemini-1.5-prowith current Google Gemini model.
gemini-1.5-prowas deprecated and shut down on September 29, 2025. Update lines 55 and 95 to usegemini-2.5-proorgemini-2.5-flash. The xAI model IDs (grok-vision-betaandgrok-beta) are valid and supported.lib/agents/resolution-search.tsx (1)
45-65:⚠️ Potential issue | 🟡 MinorAlign schema requirements with the new “no external sources” prompt.
The prompt now forbids web searches and restricts analysis to imagery/general knowledge, but the schema description still asks for “relevant current news,” which will likely drive hallucinations. Consider removing that requirement or making it explicitly optional/visual-only.
🤖 Fix all issues with AI agents
In `@app/actions.tsx`:
- Around line 192-195: The payload is double-encoding the image bundle by
JSON.stringify-ing image inside the JSON payload; change the payload assembly to
set image: { mapbox: mapboxDataUrl, google: googleDataUrl } (i.e., store the
object directly instead of JSON.stringifying it) and update any consumers of
analysisResult.image to accept both the legacy string form and the new object
form (parse if typeof image === 'string', otherwise use image directly). Locate
the JSON.stringify call that builds content (the code merging ...analysisResult
and image) and the corresponding deserialization/reader logic that accesses
analysisResult.image (also update the other similar occurrences referenced in
the review) to implement backward-compatible parsing.
- Around line 96-112: The image parts currently hardcode mimeType 'image/png'
when pushing to contentParts; instead use the actual extracted file type (e.g.,
mapboxFile.type and googleFile.type) and fall back to a sensible default like
'image/png' if the type is missing; update the objects pushed in the mapbox/
google blocks (the code that pushes { type: 'image', image: mapboxDataUrl,
mimeType: 'image/png' } and the google equivalent) to set mimeType =
mapboxFile?.type || parsedTypeFromDataUrl(mapboxDataUrl) || 'image/png' (and
similarly for googleFile), and consider the legacyFile path separately to make
its mimeType consistent.
In `@components/header-search-button.tsx`:
- Around line 59-104: The resolution-search control is being disabled whenever
the Mapbox map instance is missing, which also blocks Google mode; change the
enable/disable logic to only disable when the Mapbox provider is selected and
the Mapbox instance is missing. Locate the UI/button disable check in
header-search-button.tsx (referencing map, mapProvider, and the resolution
search action) and replace the condition like "!map" with "(mapProvider ===
'mapbox' && !map)" so Google mode remains usable when mapProvider === 'google'.
In `@lib/agents/task-manager.tsx`:
- Around line 18-25: The generateObject call uses schema: nextActionSchema but
getModel(...) may return xAI/Gemini which are unreliable for structured-output;
update the code so that when calling generateObject (in task-manager.tsx) you
either (A) force a structured-output-capable model (e.g., OpenAI gpt-4o)
whenever a schema is provided (detect presence of nextActionSchema or any schema
param) or (B) update getModel to include structured-output capability
detection/prioritization so it returns a known-good model for schema-based
calls; ensure the change applies to the code path that computes model: (await
getModel(hasImageAnywhere)) and preserves the existing hasImageAnywhere logic.
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📒 Files selected for processing (9)
app/actions.tsxcomponents/followup-panel.tsxcomponents/header-search-button.tsxcomponents/resolution-image.tsxlib/agents/inquire.tsxlib/agents/query-suggestor.tsxlib/agents/resolution-search.tsxlib/agents/task-manager.tsxlib/utils/index.ts
🧰 Additional context used
🧠 Learnings (4)
📓 Common learnings
Learnt from: ngoiyaeric
Repo: QueueLab/QCX PR: 0
File: :0-0
Timestamp: 2026-01-16T10:02:40.220Z
Learning: The router agent and resolution search agent must implement a feedback loop where tool execution results (including GeoTIFF URLs, embeddings, and satellite analysis data) are fed back to the AI model's context through enriched messages before generating the final response, ensuring the foundational model receives and can synthesize all satellite intelligence data.
📚 Learning: 2026-01-16T10:02:40.220Z
Learnt from: ngoiyaeric
Repo: QueueLab/QCX PR: 0
File: :0-0
Timestamp: 2026-01-16T10:02:40.220Z
Learning: The router agent and resolution search agent must implement a feedback loop where tool execution results (including GeoTIFF URLs, embeddings, and satellite analysis data) are fed back to the AI model's context through enriched messages before generating the final response, ensuring the foundational model receives and can synthesize all satellite intelligence data.
Applied to files:
lib/agents/resolution-search.tsx
📚 Learning: 2026-01-13T13:26:30.086Z
Learnt from: ngoiyaeric
Repo: QueueLab/QCX PR: 0
File: :0-0
Timestamp: 2026-01-13T13:26:30.086Z
Learning: Workers that rely on ai.generateObject (geojsonParser, map-command-generator, feedback-analyzer) must not use the X.AI 'grok-4-fast-non-reasoning' model because X.AI’s chat/completions rejects JSON Schema structured-output arguments; prefer OpenAI gpt-4o for structured outputs.
Applied to files:
lib/utils/index.ts
📚 Learning: 2026-01-17T06:14:51.070Z
Learnt from: ngoiyaeric
Repo: QueueLab/QCX PR: 0
File: :0-0
Timestamp: 2026-01-17T06:14:51.070Z
Learning: For structured output tasks using ai.generateObject (resolution-search, geojsonParser, map-command-generator, feedback-analyzer), prefer OpenAI gpt-4o. While xAI's grok-4-1-fast-reasoning technically supports structured outputs and vision, OpenAI has proven more reliable integration with the AI SDK's generateObject function and Zod schemas in production.
Applied to files:
lib/utils/index.ts
🧬 Code graph analysis (7)
lib/agents/inquire.tsx (1)
lib/utils/index.ts (1)
getModel(20-121)
components/header-search-button.tsx (2)
components/map/mapbox-map.tsx (1)
map(320-341)components/map/google-map.tsx (1)
mapData(54-70)
lib/agents/query-suggestor.tsx (2)
lib/db/schema.ts (1)
messages(26-37)lib/utils/index.ts (1)
getModel(20-121)
app/actions.tsx (3)
components/map/geojson-layer.tsx (1)
GeoJsonLayer(13-100)components/resolution-image.tsx (1)
ResolutionImage(24-106)components/map/map-query-handler.tsx (2)
MapQueryHandler(30-82)GeospatialToolOutput(18-23)
components/followup-panel.tsx (3)
lib/store/settings.ts (2)
useSettingsStore(10-13)SettingsState(5-8)components/map/map-provider.tsx (1)
MapProvider(16-28)components/settings/components/settings.tsx (1)
value(205-205)
components/resolution-image.tsx (3)
lib/utils/index.ts (1)
cn(12-14)components/ui/dialog.tsx (5)
Dialog(112-112)DialogTrigger(116-116)DialogContent(117-117)DialogHeader(118-118)DialogTitle(120-120)components/ui/card.tsx (2)
Card(79-79)CardContent(79-79)
lib/agents/task-manager.tsx (2)
lib/db/schema.ts (1)
messages(26-37)lib/utils/index.ts (1)
getModel(20-121)
🔇 Additional comments (8)
lib/agents/inquire.tsx (1)
26-32: Image-aware model selection looks good.This keeps vision-capable model selection aligned with message content.
lib/agents/query-suggestor.tsx (1)
21-27: LGTM for image-aware model selection.components/followup-panel.tsx (1)
11-23: Good addition of mapProvider to follow-ups.app/actions.tsx (5)
26-30: Imports for the new UI helpers look good.
48-80: Resolution-search file handling + legacy fallback look solid.
129-156: GeoJSON overlay streaming tied togroupeIdlooks good.
227-229: Immediate ResolutionImage preview in the response stream is a nice touch.
794-809: MAP_QUERY_TRIGGER UI wiring looks correct.
✏️ Tip: You can disable this entire section by setting review_details to false in your review settings.
| const contentParts: any[] = [ | ||
| { type: 'text', text: userInput } | ||
| ] | ||
|
|
||
| if (mapboxDataUrl) { | ||
| contentParts.push({ | ||
| type: 'image', | ||
| image: mapboxDataUrl, | ||
| mimeType: 'image/png' | ||
| }) | ||
| } | ||
| if (googleDataUrl) { | ||
| contentParts.push({ | ||
| type: 'image', | ||
| image: googleDataUrl, | ||
| mimeType: 'image/png' | ||
| }) |
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🌐 Web query:
Vercel AI SDK image content mimeType parameter requirements accuracy
💡 Result:
In the Vercel AI SDK, the image content part ({ type: 'image', ... }) accepts an optional MIME type field:
- AI SDK v5+ (current docs): the field is named
mediaType?: string(optional) onImagePart. It must be an IANA media type such asimage/png,image/jpeg,image/webp. If you omit it, the SDK/provider will rely on what it can infer from the image input (e.g., a data URL). [1][2] - AI SDK v4 and earlier: the same concept was named
mimeType; it was renamed tomediaTypein v5. [3]
When you need to provide it
You should set mimeType/mediaType explicitly when the model/provider can’t reliably infer it from the data you pass, especially when:
- you pass a raw base64 string (not a
data:image/...;base64,...data URL), or - you pass binary bytes (
Uint8Array/Buffer/ArrayBuffer) and want deterministic behavior across providers. [1][2]
“Accuracy” requirements (does it have to match the real bytes?)
The SDK types/docs describe mediaType as “the IANA media type” but don’t claim it validates the bytes against that value. Practically:
- If you use a data URL, the “type” is carried in the URL prefix, and malformed/missing prefixes can cause failures in some runtimes/paths. [2][4]
- If the declared
mediaType/mimeTypedoesn’t match the actual image bytes, some providers may reject the request or mis-handle the input (so treat it as must be accurate even if not locally validated). [1][2]
Sources:
[1] AI SDK v5 ModelMessage reference (ImagePart includes optional mediaType) (v5.ai-sdk.dev)
[2] AI SDK v5 “Prompts” guide (image inputs: base64/data URL/binary/URL; examples) (v5.ai-sdk.dev)
[3] AI SDK v5 migration guide (rename mimeType → mediaType) (v5.ai-sdk.dev)
[4] Vercel AI SDK issue showing failures related to base64 image data URL handling/prefixes in Edge runtime (github.com)
Citations:
- 1: https://v5.ai-sdk.dev/docs/reference/ai-sdk-core/model-message?utm_source=openai
- 2: https://v5.ai-sdk.dev/docs/foundations/prompts
- 3: https://v5.ai-sdk.dev/docs/migration-guides/migration-guide-5-0?utm_source=openai
- 4: Edge Runtime: convertToCoreMessages() fails to process base64 image data, unlike in local development vercel/ai#2616
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Use actual file MIME types for image parts.
Hardcoding image/png can mislabel JPEG or other formats and may affect multimodal parsing. The file type is already extracted when creating the data URL—use it for the mimeType field as well with a fallback.
🛠️ Suggested fix
if (mapboxDataUrl) {
contentParts.push({
type: 'image',
image: mapboxDataUrl,
- mimeType: 'image/png'
+ mimeType: mapboxFile?.type || 'image/png'
})
}
if (googleDataUrl) {
contentParts.push({
type: 'image',
image: googleDataUrl,
- mimeType: 'image/png'
+ mimeType: googleFile?.type || 'image/png'
})
}Note: This fix handles the primary cases (mapboxFile and googleFile). The legacy fallback path using legacyFile may still need attention for consistency.
🤖 Prompt for AI Agents
In `@app/actions.tsx` around lines 96 - 112, The image parts currently hardcode
mimeType 'image/png' when pushing to contentParts; instead use the actual
extracted file type (e.g., mapboxFile.type and googleFile.type) and fall back to
a sensible default like 'image/png' if the type is missing; update the objects
pushed in the mapbox/ google blocks (the code that pushes { type: 'image',
image: mapboxDataUrl, mimeType: 'image/png' } and the google equivalent) to set
mimeType = mapboxFile?.type || parsedTypeFromDataUrl(mapboxDataUrl) ||
'image/png' (and similarly for googleFile), and consider the legacyFile path
separately to make its mimeType consistent.
| content: JSON.stringify({ | ||
| ...analysisResult, | ||
| image: JSON.stringify({ mapbox: mapboxDataUrl, google: googleDataUrl }) | ||
| }), |
There was a problem hiding this comment.
🧹 Nitpick | 🔵 Trivial
Avoid double‑encoding the image payload; store as object and parse both shapes.
This currently JSON‑stringifies the image bundle inside JSON, inflating size and adding extra parsing. Store the object directly and keep backward compatibility by handling both string and object forms.
♻️ Suggested refactor
- content: JSON.stringify({
- ...analysisResult,
- image: JSON.stringify({ mapbox: mapboxDataUrl, google: googleDataUrl })
- }),
+ content: JSON.stringify({
+ ...analysisResult,
+ image: { mapbox: mapboxDataUrl, google: googleDataUrl }
+ }),- const imageData = analysisResult.image as string;
+ const imageData = analysisResult.image as
+ | { mapbox?: string; google?: string }
+ | string
+ | undefined;
let mapboxSrc = '';
let googleSrc = '';
if (imageData) {
- try {
- const parsed = JSON.parse(imageData);
- mapboxSrc = parsed.mapbox || '';
- googleSrc = parsed.google || '';
- } catch (e) {
- // Fallback for older image format which was just a single string
- mapboxSrc = imageData;
- }
+ if (typeof imageData === 'string') {
+ try {
+ const parsed = JSON.parse(imageData);
+ mapboxSrc = parsed.mapbox || '';
+ googleSrc = parsed.google || '';
+ } catch (e) {
+ // Fallback for older image format which was just a single string
+ mapboxSrc = imageData;
+ }
+ } else {
+ mapboxSrc = imageData.mapbox || '';
+ googleSrc = imageData.google || '';
+ }
}Also applies to: 753-766, 772-774
🤖 Prompt for AI Agents
In `@app/actions.tsx` around lines 192 - 195, The payload is double-encoding the
image bundle by JSON.stringify-ing image inside the JSON payload; change the
payload assembly to set image: { mapbox: mapboxDataUrl, google: googleDataUrl }
(i.e., store the object directly instead of JSON.stringifying it) and update any
consumers of analysisResult.image to accept both the legacy string form and the
new object form (parse if typeof image === 'string', otherwise use image
directly). Locate the JSON.stringify call that builds content (the code merging
...analysisResult and image) and the corresponding deserialization/reader logic
that accesses analysisResult.image (also update the other similar occurrences
referenced in the review) to implement backward-compatible parsing.
| let mapboxBlob: Blob | null = null; | ||
| let googleBlob: Blob | null = null; | ||
|
|
||
| const { center, range, zoom: cameraZoom } = mapData.cameraState || {}; | ||
| const zoom = cameraZoom ?? (range ? Math.round(Math.log2(40000000 / range)) : 2); | ||
|
|
||
| // Capture Mapbox Preview | ||
| if (map) { | ||
| const canvas = map.getCanvas(); | ||
| mapboxBlob = await new Promise<Blob | null>(resolve => { | ||
| canvas.toBlob(resolve, 'image/png'); | ||
| }); | ||
| } | ||
|
|
||
| const response = await fetch(staticMapUrl); | ||
| if (!response.ok) { | ||
| throw new Error('Failed to fetch static map image.'); | ||
| // Capture Google Preview | ||
| if (center) { | ||
| const apiKey = process.env.NEXT_PUBLIC_GOOGLE_MAPS_API_KEY; | ||
| if (apiKey) { | ||
| let staticMapUrl = `https://maps.googleapis.com/maps/api/staticmap?center=${center.lat},${center.lng}&zoom=${Math.round(zoom)}&size=640x480&scale=2&maptype=satellite&key=${apiKey}`; | ||
| try { | ||
| const response = await fetch(staticMapUrl); | ||
| if (response.ok) { | ||
| googleBlob = await response.blob(); | ||
| } | ||
| } catch (e) { | ||
| console.error('Failed to fetch google static map:', e); | ||
| } | ||
| } | ||
| blob = await response.blob(); | ||
| } | ||
|
|
||
| if (!blob) { | ||
| throw new Error('Failed to capture map image.') | ||
| if (!mapboxBlob && !googleBlob) { | ||
| throw new Error('Failed to capture any map images.') | ||
| } | ||
|
|
||
| const formData = new FormData() | ||
| formData.append('file', blob, 'map_capture.png') | ||
| if (mapboxBlob) formData.append('mapboxFile', mapboxBlob, 'mapbox_capture.png') | ||
| if (googleBlob) formData.append('googleFile', googleBlob, 'google_capture.png') | ||
|
|
||
| // Keep 'file' for backward compatibility in case it's used elsewhere | ||
| formData.append('file', (mapboxBlob || googleBlob)!, 'map_capture.png') | ||
|
|
||
| formData.append('action', 'resolution_search') | ||
| formData.append('timezone', mapData.currentTimezone || 'UTC') | ||
| formData.append('drawnFeatures', JSON.stringify(mapData.drawnFeatures || [])) | ||
| formData.append('mapProvider', mapProvider) | ||
|
|
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Don’t disable resolution search in Google mode.
With Google capture now supported, the buttons should only be disabled when mapProvider === 'mapbox' and the Mapbox instance is missing; otherwise Google mode becomes unusable.
✅ Suggested fix
export function HeaderSearchButton() {
const { map } = useMap()
const { mapProvider } = useSettingsStore()
@@
- const desktopButton = (
+ const isMapboxUnavailable = mapProvider === 'mapbox' && !map
+
+ const desktopButton = (
<Button
variant="ghost"
size="icon"
onClick={handleResolutionSearch}
- disabled={isAnalyzing || !map || !actions}
+ disabled={isAnalyzing || !actions || isMapboxUnavailable}
title="Analyze current map view"
>
@@
- const mobileButton = (
- <Button variant="ghost" size="sm" onClick={handleResolutionSearch} disabled={isAnalyzing || !map || !actions}>
+ const mobileButton = (
+ <Button variant="ghost" size="sm" onClick={handleResolutionSearch} disabled={isAnalyzing || !actions || isMapboxUnavailable}>
<Search className="h-4 w-4 mr-2" />
Search
</Button>
)🤖 Prompt for AI Agents
In `@components/header-search-button.tsx` around lines 59 - 104, The
resolution-search control is being disabled whenever the Mapbox map instance is
missing, which also blocks Google mode; change the enable/disable logic to only
disable when the Mapbox provider is selected and the Mapbox instance is missing.
Locate the UI/button disable check in header-search-button.tsx (referencing map,
mapProvider, and the resolution search action) and replace the condition like
"!map" with "(mapProvider === 'mapbox' && !map)" so Google mode remains usable
when mapProvider === 'google'.
| const hasImageAnywhere = messages.some(message => | ||
| Array.isArray(message.content) && | ||
| message.content.some(part => part.type === 'image') | ||
| ) | ||
|
|
||
| const result = await generateObject({ | ||
| model: (await getModel()) as LanguageModel, | ||
| model: (await getModel(hasImageAnywhere)) as LanguageModel, | ||
| system: `As a planet computer, your primary objective is to act as an efficient **Task Manager** for the user's query. Your goal is to minimize unnecessary steps and maximize the efficiency of the subsequent exploration phase (researcher agent). |
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Use a structured-output-safe model for generateObject calls with schema.
The getModel() function prioritizes xAI and Gemini before falling back to OpenAI. Since generateObject here uses schema: nextActionSchema, it requires a model with proven structured-output support. Per production learnings, xAI and Gemini have reliability issues with AI SDK's generateObject and Zod schemas. Either force OpenAI gpt-4o for structured outputs or add structured-output detection to getModel() to prioritize OpenAI.
🔧 Suggested fix
-import { getModel } from '../utils'
+import { getModel } from '../utils'
+import { createOpenAI } from '@ai-sdk/openai'
@@
- const result = await generateObject({
- model: (await getModel(hasImageAnywhere)) as LanguageModel,
+ const openaiApiKey = process.env.OPENAI_API_KEY
+ const structuredOutputModel = openaiApiKey
+ ? createOpenAI({ apiKey: openaiApiKey })('gpt-4o')
+ : ((await getModel(hasImageAnywhere)) as LanguageModel)
+
+ const result = await generateObject({
+ model: structuredOutputModel,
system: `As a planet computer, your primary objective is to act as an efficient **Task Manager**...📝 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.
| const hasImageAnywhere = messages.some(message => | |
| Array.isArray(message.content) && | |
| message.content.some(part => part.type === 'image') | |
| ) | |
| const result = await generateObject({ | |
| model: (await getModel()) as LanguageModel, | |
| model: (await getModel(hasImageAnywhere)) as LanguageModel, | |
| system: `As a planet computer, your primary objective is to act as an efficient **Task Manager** for the user's query. Your goal is to minimize unnecessary steps and maximize the efficiency of the subsequent exploration phase (researcher agent). | |
| import { getModel } from '../utils' | |
| import { createOpenAI } from '@ai-sdk/openai' | |
| const hasImageAnywhere = messages.some(message => | |
| Array.isArray(message.content) && | |
| message.content.some(part => part.type === 'image') | |
| ) | |
| const openaiApiKey = process.env.OPENAI_API_KEY | |
| const structuredOutputModel = openaiApiKey | |
| ? createOpenAI({ apiKey: openaiApiKey })('gpt-4o') | |
| : ((await getModel(hasImageAnywhere)) as LanguageModel) | |
| const result = await generateObject({ | |
| model: structuredOutputModel, | |
| system: `As a planet computer, your primary objective is to act as an efficient **Task Manager** for the user's query. Your goal is to minimize unnecessary steps and maximize the efficiency of the subsequent exploration phase (researcher agent). |
🤖 Prompt for AI Agents
In `@lib/agents/task-manager.tsx` around lines 18 - 25, The generateObject call
uses schema: nextActionSchema but getModel(...) may return xAI/Gemini which are
unreliable for structured-output; update the code so that when calling
generateObject (in task-manager.tsx) you either (A) force a
structured-output-capable model (e.g., OpenAI gpt-4o) whenever a schema is
provided (detect presence of nextActionSchema or any schema param) or (B) update
getModel to include structured-output capability detection/prioritization so it
returns a known-good model for schema-based calls; ensure the change applies to
the code path that computes model: (await getModel(hasImageAnywhere)) and
preserves the existing hasImageAnywhere logic.
|
@coderabbitai 76ace98 This commit started drawing visualizations on the map after switching maps after resolution search. |
|
Tip For best results, initiate chat on the files or code changes. 🧩 Analysis chain
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What the Commit ChangedThis commit added Google Static Maps image rendering to geospatial query tool results: Key change in // Now extracts mapUrl from tool output
const mapUrl = toolOutput.mcp_response?.mapUrl;
// Renders a ResolutionImage BEFORE MapQueryHandler when mapUrl exists
{mapUrl && (
<ResolutionImage
src={mapUrl}
className="mb-0"
alt={placeName ? `Map of ${placeName}` : 'Map Preview'}
/>
)}
<MapQueryHandler toolOutput={toolOutput} />What happens:
Likely CauseThe behavior you're observing is probably:
Question: Could you clarify what you mean by "drawing visualizations on the map"?
This will help me determine if we need to:
🧠 Learnings used |
Acknowledged! I'm glad to hear that the visualizations are now correctly persisting across map switches after a resolution search. Regarding the follow-up queries, I have implemented several fixes in this update:
|
|
@coderabbitai it was geojson overlays. how can we make that commit the head |
|
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There's one commit after it (830d53a) which added the multi-image preview feature and follow-up fixes we discussed earlier. Options to Make 76ace98 the HEADOption 1: Reset the Branch (Removes commit 830d53a)This will discard the latest commit and move HEAD back to 76ace98: # Soft reset - keeps changes from 830d53a as uncommitted changes
git reset --soft 76ace98f8907d89a0059872be4a64b889b04eb49
# OR hard reset - completely discards all changes from 830d53a
git reset --hard 76ace98f8907d89a0059872be4a64b889b04eb49
# Force push to update the remote branch
git push --force origin HEADOption 2: Revert the Latest Commit (Keeps history)If you want to undo 830d53a but keep the history: git revert 830d53a
git push origin HEADQuestion:
The commit 76ace98 is what introduced the GeoJSON overlay rendering behavior. If that's causing issues after map switching, we might need to fix the logic rather than reset the branch. 🧠 Learnings used |
…low-ups - Capture and display Mapbox and Google Satellite previews side-by-side in resolution search. - Update `ResolutionImage` component for multi-image comparison and session persistence. - Fix `getModel` utility to correctly return vision-capable models (e.g., `grok-vision-beta`) when history contains images. - Make Task Manager, Inquirer, and Query Suggestor agents vision-aware. - Include `mapProvider` context in follow-up submissions to maintain tool and model selection accuracy. - Enhance `resolutionSearch` system prompt for comparative analysis of dual previews. Co-authored-by: ngoiyaeric <115367894+ngoiyaeric@users.noreply.github.com>
ngoiyaeric
added
help wanted
User description
This PR enhances the resolution search feature by improving the quality of captured satellite imagery and providing a better user experience for viewing the analyzed map data.
Key changes:
scale=2to the Google Static Maps API request, doubling the pixel density of captured images.ResolutionImagecomponent that displays the analyzed map as a thumbnail in the chat. Clicking the thumbnail opens a full-screen Dialog (modal) for detailed viewing.resolution_search_resultmessage in the AI state. This allows the image to be correctly restored when reloading the page or sharing the chat.PR created automatically by Jules for task 3118023839244746163 started by @ngoiyaeric
PR Type
Enhancement
Description
Added
scale=2parameter to Google Static Maps API for doubled pixel densityCreated new
ResolutionImagecomponent with thumbnail and full-screen modal displayImplemented image persistence in AI state for page reload and chat sharing
Fixed GeoJSON layer visibility by appending to UI stream immediately after analysis
Integrated image display into resolution search response UI
Diagram Walkthrough
File Walkthrough
actions.tsx
Integrate image persistence and immediate GeoJSON displayapp/actions.tsx
ResolutionImagecomponent for image displaygroupeIdvariable initialization before resolution searchprocessing
completion
resolution_search_resultmessagegetUIStateFromAIStateto restore and display images from savedmessages
ResolutionImagecomponent into response section UIheader-search-button.tsx
Increase satellite map image resolution with scale parametercomponents/header-search-button.tsx
scale=2parameter to Google Static Maps API request URLquality
resolution-image.tsx
New component for thumbnail and modal image displaycomponents/resolution-image.tsx
Framer Motion
sizing
Summary by CodeRabbit
New Features
Enhancements
Other
✏️ Tip: You can customize this high-level summary in your review settings.