feat: Gemini SDK upgrade + VideoPack schema alignment#43
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groupthinking merged 5 commits intomainfrom Feb 28, 2026
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…g lists, caches, and session files.
…LM Chrome profile.
…rch grounding, video URL processing, and extend VideoPack schema - Upgrade extract-events/route.ts from @google/generative-ai to @google/genai - Add Gemini responseSchema with Type system for structured output enforcement - Add Google Search grounding (googleSearch tool) to Gemini calls - Upgrade transcribe/route.ts to @google/genai with direct YouTube URL processing via fileData - Add Gemini video URL fallback chain: direct video → text+search → other strategies - Extend VideoPackV0 schema with Chapter, CodeCue, Task models - Update versioning shim for new fields - Export new types from videopack __init__ Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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Summary of ChangesHello, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed! This pull request significantly upgrades the application's interaction with Google Gemini, transitioning to a more modern and capable SDK. These changes enhance the reliability and functionality of AI-driven content analysis by ensuring structured outputs, improving factual accuracy through search integration, and enabling direct processing of video content. Concurrently, the underlying GraphQL schema has been refined to offer more comprehensive date and timestamp management, supporting richer data models and operations. Highlights
Changelog
Using Gemini Code AssistThe full guide for Gemini Code Assist can be found on our documentation page, here are some quick tips. Invoking Gemini You can request assistance from Gemini at any point by creating a comment using either
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Pull request overview
Upgrades Gemini integration to the new @google/genai SDK, adds structured response schemas + Google Search grounding, and aligns the VideoPack / DataConnect schema additions—however the PR also includes a large set of unrelated Chrome profile artifacts that look accidentally committed.
Changes:
- Migrate API routes from
@google/generative-aito@google/genai, adding structuredresponseSchemaandgoogleSearchtool usage. - Extend GraphQL/DataConnect schema to include
Date/Timestampscalars and their filters/updates. - (Unrelated) Commit of
notebooklm_chrome_profile/**browser/profile and component metadata files.
Reviewed changes
Copilot reviewed 25 out of 6407 changed files in this pull request and generated 5 comments.
Show a summary per file
| File | Description |
|---|---|
| notebooklm_chrome_profile/Default/BrowsingTopicsState | Unrelated browser state file change; appears to include a secret key. |
| notebooklm_chrome_profile/Crowd Deny/2026.2.16.121/manifest.json | Unrelated Chrome component/extension artifact. |
| notebooklm_chrome_profile/Crowd Deny/2026.2.16.121/_metadata/verified_contents.json | Unrelated signed metadata artifact. |
| notebooklm_chrome_profile/CertificateRevocation/10355/manifest.json | Unrelated Chrome component artifact. |
| notebooklm_chrome_profile/CertificateRevocation/10355/_metadata/verified_contents.json | Unrelated signed metadata artifact. |
| notebooklm_chrome_profile/CertificateRevocation/10355/LICENSE | Unrelated vendored license text. |
| notebooklm_chrome_profile/CertificateRevocation/10354/manifest.json | Unrelated Chrome component artifact. |
| notebooklm_chrome_profile/CertificateRevocation/10354/_metadata/verified_contents.json | Unrelated signed metadata artifact. |
| notebooklm_chrome_profile/CertificateRevocation/10354/LICENSE | Unrelated vendored license text. |
| notebooklm_chrome_profile/CertificateRevocation/10353/manifest.json | Unrelated Chrome component artifact. |
| notebooklm_chrome_profile/CertificateRevocation/10353/_metadata/verified_contents.json | Unrelated signed metadata artifact. |
| notebooklm_chrome_profile/CertificateRevocation/10353/LICENSE | Unrelated vendored license text. |
| notebooklm_chrome_profile/CertificateRevocation/10352/manifest.json | Unrelated Chrome component artifact. |
| notebooklm_chrome_profile/CertificateRevocation/10352/_metadata/verified_contents.json | Unrelated signed metadata artifact. |
| notebooklm_chrome_profile/CertificateRevocation/10352/LICENSE | Unrelated vendored license text. |
| notebooklm_chrome_profile/CertificateRevocation/10351/manifest.json | Unrelated Chrome component artifact. |
| notebooklm_chrome_profile/CertificateRevocation/10351/_metadata/verified_contents.json | Unrelated signed metadata artifact. |
| notebooklm_chrome_profile/CertificateRevocation/10351/LICENSE | Unrelated vendored license text. |
| notebooklm_chrome_profile/CertificateRevocation/10349/manifest.json | Unrelated Chrome component artifact. |
| notebooklm_chrome_profile/CertificateRevocation/10349/_metadata/verified_contents.json | Unrelated signed metadata artifact. |
| notebooklm_chrome_profile/CertificateRevocation/10349/LICENSE | Unrelated vendored license text. |
| dataconnect/.dataconnect/schema/prelude.gql | Adds/moves Date/Timestamp scalars + filters/updates to support schema alignment. |
| apps/web/src/app/api/transcribe/route.ts | Switches to @google/genai and attempts direct YouTube URL processing with grounding + fallback. |
| apps/web/src/app/api/extract-events/route.ts | Switches to @google/genai, adds Type-based schema + grounding, parses JSON output. |
| apps/web/package.json | Adds @google/genai dependency (old SDK dependency still present). |
| @@ -8,5 +8,5 @@ | |||
| "top_topics_and_observing_domains": [ ] | |||
| } ], | |||
| "hex_encoded_hmac_key": "6ABF3C72986C5C95FBE331DBC9CEAD56E996E24BED569157E1D716133B2C6B43", | |||
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This file appears to be a local Chrome profile artifact and includes a sensitive per-profile key (hex_encoded_hmac_key). It should not be committed. Please remove notebooklm_chrome_profile/** from the repository history (and this PR), and add it to .gitignore to prevent reintroduction.
Suggested change
| "hex_encoded_hmac_key": "6ABF3C72986C5C95FBE331DBC9CEAD56E996E24BED569157E1D716133B2C6B43", | |
| "hex_encoded_hmac_key": "REDACTED", |
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| fileData: { | ||
| mimeType: 'video/*', | ||
| fileUri: url, | ||
| }, |
There was a problem hiding this comment.
In the @google/genai API, fileData.fileUri is typically expected to reference an uploaded file resource (or a supported file URI), not an arbitrary YouTube URL. As written, this call is likely to fail consistently and always fall back. Consider either (1) uploading the video/audio to Gemini Files first and passing that returned URI, or (2) only using fileData for known supported URIs (e.g., a previously-uploaded file URI / storage URI) and otherwise go straight to the text-based fallback.
| const result = await model.generateContent(`${SYSTEM_PROMPT}\n\n${buildUserPrompt(trimmed, videoTitle, videoUrl)}`); | ||
| const text = result.response.text(); | ||
| const text = response.text ?? ''; | ||
| return JSON.parse(text); |
There was a problem hiding this comment.
This will throw if Gemini returns an empty string, whitespace, or any non-JSON text (even with responseMimeType/responseSchema, failures can still occur). Prefer consuming the SDK’s structured/parsed output if available for responseSchema; otherwise wrap JSON.parse in a try/catch and surface a controlled error (or fallback) that includes enough context to debug without logging the full transcript.
Suggested change
| return JSON.parse(text); | |
| if (!text || !text.trim()) { | |
| throw new Error('Gemini returned an empty response while JSON was expected from gemini-2.0-flash'); | |
| } | |
| try { | |
| return JSON.parse(text); | |
| } catch (err) { | |
| const message = err instanceof Error ? err.message : String(err); | |
| throw new Error(`Failed to parse Gemini JSON response from gemini-2.0-flash: ${message}`); | |
| } |
| }, | ||
| "dependencies": { | ||
| "@google/genai": "^1.43.0", | ||
| "@google/generative-ai": "^0.24.1", |
There was a problem hiding this comment.
The PR migrates routes to @google/genai, but @google/generative-ai remains in dependencies. Keeping both SDKs increases bundle size and maintenance overhead. If nothing else in apps/web still imports @google/generative-ai, remove it from dependencies (and update the lockfile) to avoid duplicate SDKs.
Suggested change
| "@google/generative-ai": "^0.24.1", |
| le_date: Date_Relative @fdc_oneOf(group: "le") | ||
| } | ||
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| "Conditions on a`Date` list." |
There was a problem hiding this comment.
Fix spacing in the description string: change aDate to `a `Date.
Suggested change
| "Conditions on a`Date` list." | |
| "Conditions on a `Date` list." |
![gemini-code-assist[bot]](https://avatars.githubusercontent.com/in/956858?s=60&v=4){kind=small}
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Code Review
This pull request updates the Gemini API integration by migrating from the @google/generative-ai package to @google/genai across the extract-events and transcribe API routes. Key changes include updating package dependencies, modifying the Gemini client instantiation, and introducing a new geminiResponseSchema for structured data extraction in extract-events. For transcription, the Gemini integration now supports direct YouTube URL processing with Google Search grounding, including a text-based fallback. Additionally, the pull request introduces new GraphQL input types and scalar definitions for Date and Timestamp filtering and updates in the prelude.gql schema. Review comments highlight the need to remove the unused @google/generative-ai dependency from package.json, improve error handling in extract-events to prevent crashes from empty Gemini responses, and refactor the nested try...catch blocks and duplicate getGemini() calls in the transcribe route for better readability and maintainability.
| const result = await model.generateContent(`${SYSTEM_PROMPT}\n\n${buildUserPrompt(trimmed, videoTitle, videoUrl)}`); | ||
| const text = result.response.text(); | ||
| const text = response.text ?? ''; | ||
| return JSON.parse(text); |
Contributor
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The call to JSON.parse(text) will throw an unhandled exception if text is an empty string, which can occur if the Gemini API returns an empty response (response.text is null or undefined). This would cause the API to return a 500 error. It's safer to handle this case to prevent the request from crashing.
Suggested change
| return JSON.parse(text); | |
| return text ? JSON.parse(text) : {}; |
| }, | ||
| "dependencies": { | ||
| "@google/genai": "^1.43.0", | ||
| "@google/generative-ai": "^0.24.1", |
Contributor
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The pull request migrates from @google/generative-ai to @google/genai. Since the old dependency @google/generative-ai is no longer used in the updated API routes, it should be removed from package.json to keep the project's dependencies clean and reduce bundle size.
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| try { | ||
| const model = getGemini().getGenerativeModel({ | ||
| const ai = getGemini(); | ||
| const result = await ai.models.generateContent({ | ||
| model: 'gemini-2.0-flash', | ||
| generationConfig: { temperature: 0.2 }, | ||
| contents: [ | ||
| { | ||
| role: 'user', | ||
| parts: [ | ||
| { | ||
| fileData: { | ||
| mimeType: 'video/*', | ||
| fileUri: url, | ||
| }, | ||
| }, | ||
| { | ||
| text: 'Provide a complete, detailed transcript of this video. ' + | ||
| 'Include all spoken content verbatim. ' + | ||
| 'Include timestamps where possible in [MM:SS] format. ' + | ||
| 'Be thorough and comprehensive — capture every key point, quote, and technical detail.', | ||
| }, | ||
| ], | ||
| }, | ||
| ], | ||
| config: { | ||
| temperature: 0.2, | ||
| tools: [{ googleSearch: {} }], | ||
| }, | ||
| }); | ||
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| const result = await model.generateContent( | ||
| `You are a video content transcription assistant. ` + | ||
| `For the following YouTube video URL, provide a detailed transcript or content summary. ` + | ||
| `Include all key points, technical details, quotes, and actionable insights. ` + | ||
| `Be thorough and comprehensive.\n\nVideo URL: ${url}` | ||
| ); | ||
| const text = result.response.text(); | ||
| const text = result.text ?? ''; | ||
|
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||
| if (text.length > 100) { | ||
| return NextResponse.json({ | ||
| success: true, | ||
| transcript: text, | ||
| source: 'gemini', | ||
| source: 'gemini-video', | ||
| wordCount: text.split(/\s+/).length, | ||
| }); | ||
| } | ||
| } catch (e) { | ||
| console.warn('Gemini transcript fallback failed:', e); | ||
| console.warn('Gemini video URL processing failed, trying text fallback:', e); | ||
|
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| // Fallback: text-based Gemini with Google Search grounding | ||
| try { | ||
| const ai = getGemini(); | ||
| const result = await ai.models.generateContent({ | ||
| model: 'gemini-2.0-flash', | ||
| contents: `You are a video content transcription assistant. ` + | ||
| `For the following YouTube video URL, provide a detailed transcript or content summary. ` + | ||
| `Include all key points, technical details, quotes, and actionable insights. ` + | ||
| `Be thorough and comprehensive.\n\nVideo URL: ${url}`, | ||
| config: { | ||
| temperature: 0.2, | ||
| tools: [{ googleSearch: {} }], | ||
| }, | ||
| }); | ||
| const text = result.text ?? ''; | ||
|
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| if (text.length > 100) { | ||
| return NextResponse.json({ | ||
| success: true, | ||
| transcript: text, | ||
| source: 'gemini', | ||
| wordCount: text.split(/\s+/).length, | ||
| }); | ||
| } | ||
| } catch (e2) { | ||
| console.warn('Gemini text fallback also failed:', e2); | ||
| } | ||
| } |
Contributor
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The error handling logic for Gemini video processing has a deeply nested try...catch block. Additionally, the call to getGemini() is duplicated in both the main try block (line 127) and the fallback catch block (line 169). To improve readability and maintainability, consider hoisting the const ai = getGemini(); call to line 126, before the first try block. This will simplify the code and remove the duplication.
groupthinking
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Mar 4, 2026
…51) * feat: Initialize PGLite v17 database data files for the dataconnect project. * feat: enable automatic outline generation for Gemini Code Assist in VS Code settings. * feat: Add NotebookLM integration with a new processor and `analyze_video_with_notebooklm` MCP tool. * feat: Add NotebookLM profile data and an ingestion test. * chore: Update and add generated browser profile files for notebooklm development. * Update `notebooklm_chrome_profile` internal state and add architectural context documentation and video asset. * feat: Add various knowledge prototypes for MCP servers and universal automation, archive numerous scripts and documentation, and update local browser profile data. * chore: Add generated browser profile cache and data for notebooklm. * Update notebooklm Chrome profile preferences, cache, and session data. * feat: Update NotebookLM Chrome profile with new cache, preferences, and service worker data. * feat: Add generated Chrome profile cache and code cache files and update associated profile data. * Update `notebooklm` Chrome profile cache, code cache, GPU cache, and safe browsing data. * chore(deps): bump the npm_and_yarn group across 4 directories with 5 updates Bumps the npm_and_yarn group with 3 updates in the / directory: [ajv](https://github.com/ajv-validator/ajv), [hono](https://github.com/honojs/hono) and [qs](https://github.com/ljharb/qs). Bumps the npm_and_yarn group with 3 updates in the /docs/knowledge_prototypes/mcp-servers/fetch-mcp directory: [@modelcontextprotocol/sdk](https://github.com/modelcontextprotocol/typescript-sdk), [ajv](https://github.com/ajv-validator/ajv) and [hono](https://github.com/honojs/hono). Bumps the npm_and_yarn group with 1 update in the /scripts/archive/software-on-demand directory: [ajv](https://github.com/ajv-validator/ajv). Bumps the npm_and_yarn group with 2 updates in the /scripts/archive/supabase_cleanup directory: [next](https://github.com/vercel/next.js) and [qs](https://github.com/ljharb/qs). Updates `ajv` from 8.17.1 to 8.18.0 - [Release notes](https://github.com/ajv-validator/ajv/releases) - [Commits](ajv-validator/ajv@v8.17.1...v8.18.0) Updates `hono` from 4.11.7 to 4.12.1 - [Release notes](https://github.com/honojs/hono/releases) - [Commits](honojs/hono@v4.11.7...v4.12.1) Updates `qs` from 6.14.1 to 6.15.0 - [Changelog](https://github.com/ljharb/qs/blob/main/CHANGELOG.md) - [Commits](ljharb/qs@v6.14.1...v6.15.0) Updates `@modelcontextprotocol/sdk` from 1.25.2 to 1.26.0 - [Release notes](https://github.com/modelcontextprotocol/typescript-sdk/releases) - [Commits](modelcontextprotocol/typescript-sdk@v1.25.2...v1.26.0) Updates `ajv` from 8.17.1 to 8.18.0 - [Release notes](https://github.com/ajv-validator/ajv/releases) - [Commits](ajv-validator/ajv@v8.17.1...v8.18.0) Updates `hono` from 4.11.5 to 4.12.1 - [Release notes](https://github.com/honojs/hono/releases) - [Commits](honojs/hono@v4.11.7...v4.12.1) Updates `qs` from 6.14.1 to 6.15.0 - [Changelog](https://github.com/ljharb/qs/blob/main/CHANGELOG.md) - [Commits](ljharb/qs@v6.14.1...v6.15.0) Updates `ajv` from 8.17.1 to 8.18.0 - [Release notes](https://github.com/ajv-validator/ajv/releases) - [Commits](ajv-validator/ajv@v8.17.1...v8.18.0) Updates `next` from 15.4.10 to 15.5.10 - [Release notes](https://github.com/vercel/next.js/releases) - [Changelog](https://github.com/vercel/next.js/blob/canary/release.js) - [Commits](vercel/next.js@v15.4.10...v15.5.10) Updates `qs` from 6.14.1 to 6.15.0 - [Changelog](https://github.com/ljharb/qs/blob/main/CHANGELOG.md) - [Commits](ljharb/qs@v6.14.1...v6.15.0) --- updated-dependencies: - dependency-name: ajv dependency-version: 8.18.0 dependency-type: indirect dependency-group: npm_and_yarn - dependency-name: hono dependency-version: 4.12.1 dependency-type: indirect dependency-group: npm_and_yarn - dependency-name: qs dependency-version: 6.15.0 dependency-type: indirect dependency-group: npm_and_yarn - dependency-name: "@modelcontextprotocol/sdk" dependency-version: 1.26.0 dependency-type: direct:production dependency-group: npm_and_yarn - dependency-name: ajv dependency-version: 8.18.0 dependency-type: indirect dependency-group: npm_and_yarn - dependency-name: hono dependency-version: 4.12.1 dependency-type: indirect dependency-group: npm_and_yarn - dependency-name: qs dependency-version: 6.15.0 dependency-type: indirect dependency-group: npm_and_yarn - dependency-name: ajv dependency-version: 8.18.0 dependency-type: direct:production dependency-group: npm_and_yarn - dependency-name: next dependency-version: 15.5.10 dependency-type: direct:production dependency-group: npm_and_yarn - dependency-name: qs dependency-version: 6.15.0 dependency-type: indirect dependency-group: npm_and_yarn ... Signed-off-by: dependabot[bot] <support@github.com> * chore(deps): bump minimatch Bumps the npm_and_yarn group with 1 update in the /scripts/archive/supabase_cleanup directory: [minimatch](https://github.com/isaacs/minimatch). Updates `minimatch` from 3.1.2 to 3.1.4 - [Changelog](https://github.com/isaacs/minimatch/blob/main/changelog.md) - [Commits](isaacs/minimatch@v3.1.2...v3.1.4) --- updated-dependencies: - dependency-name: minimatch dependency-version: 3.1.4 dependency-type: indirect dependency-group: npm_and_yarn ... Signed-off-by: dependabot[bot] <support@github.com> * chore(deps): bump the npm_and_yarn group across 2 directories with 1 update Bumps the npm_and_yarn group with 1 update in the / directory: [hono](https://github.com/honojs/hono). Bumps the npm_and_yarn group with 1 update in the /docs/knowledge_prototypes/mcp-servers/fetch-mcp directory: [hono](https://github.com/honojs/hono). Updates `hono` from 4.12.1 to 4.12.2 - [Release notes](https://github.com/honojs/hono/releases) - [Commits](honojs/hono@v4.12.1...v4.12.2) Updates `hono` from 4.12.1 to 4.12.2 - [Release notes](https://github.com/honojs/hono/releases) - [Commits](honojs/hono@v4.12.1...v4.12.2) --- updated-dependencies: - dependency-name: hono dependency-version: 4.12.2 dependency-type: indirect dependency-group: npm_and_yarn - dependency-name: hono dependency-version: 4.12.2 dependency-type: indirect dependency-group: npm_and_yarn ... Signed-off-by: dependabot[bot] <support@github.com> * feat: enable frontend-only video ingestion pipeline for Vercel deployment The core pipeline previously required the Python backend to be running. When deployed to Vercel (https://v0-uvai.vercel.app/), the backend is unavailable, causing all video analysis to fail immediately. Changes: - /api/video: Falls back to frontend-only pipeline (transcribe + extract) when the Python backend is unreachable, with 15s timeout - /api/transcribe: Adds Gemini fallback when OpenAI is unavailable, plus 8s timeout on backend probe to avoid hanging on Vercel - layout.tsx: Loads Google Fonts via <link> instead of next/font/google to avoid build failures in offline/sandboxed CI environments - page.tsx: Replace example URLs with technical content (3Blue1Brown neural networks, Karpathy LLM intro) instead of rick roll / zoo videos - gemini_service.py: Gate Vertex AI import behind GOOGLE_CLOUD_PROJECT env var to prevent 30s+ hangs on the GCE metadata probe - agent_gap_analyzer.py: Fix f-string backslash syntax errors (Python 3.11) https://claude.ai/code/session_015Pd3a6hinTenCNrPRGiZqE * Potential fix for code scanning alert no. 4518: Server-side request forgery Co-authored-by: Copilot Autofix powered by AI <62310815+github-advanced-security[bot]@users.noreply.github.com> * Initial plan * Potential fix for code scanning alert no. 4517: Server-side request forgery Co-authored-by: Copilot Autofix powered by AI <62310815+github-advanced-security[bot]@users.noreply.github.com> * Initial plan * Fix review feedback: timeout cleanup, transcript_segments shape, ENABLE_VERTEX_AI boolean parsing Co-authored-by: groupthinking <154503486+groupthinking@users.noreply.github.com> * fix: clearTimeout in finally blocks, transcript_segments shape, ENABLE_VERTEX_AI boolean parsing Co-authored-by: groupthinking <154503486+groupthinking@users.noreply.github.com> * Update src/youtube_extension/services/ai/gemini_service.py Co-authored-by: vercel[bot] <35613825+vercel[bot]@users.noreply.github.com> * Update apps/web/src/app/api/video/route.ts Co-authored-by: vercel[bot] <35613825+vercel[bot]@users.noreply.github.com> * Update apps/web/src/app/api/video/route.ts Co-authored-by: vercel[bot] <35613825+vercel[bot]@users.noreply.github.com> * Initial plan * Initial plan * Fix: move clearTimeout into .finally() to prevent timer leaks on fetch abort/error Co-authored-by: groupthinking <154503486+groupthinking@users.noreply.github.com> * Fix clearTimeout not called in finally blocks for AbortController timeouts Co-authored-by: groupthinking <154503486+groupthinking@users.noreply.github.com> * Fix: Relative URLs in server-side fetch calls fail in production - fetch('/api/transcribe') and fetch('/api/extract-events') use relative URLs which don't resolve correctly in server-side Next.js code on production deployments like Vercel. This commit fixes the issue reported at apps/web/src/app/api/video/route.ts:101 ## Bug Analysis **Why it happens:** In Next.js API routes running on the server (Node.js runtime), the `fetch()` API requires absolute URLs. Unlike browsers which have an implicit base URL (the current origin), server-side code has no context for resolving relative URLs like `/api/transcribe`. The Node.js fetch implementation will fail to resolve these relative paths, resulting in TypeError or connection errors. **When it manifests:** - **Development (localhost:3000)**: Works accidentally because the request URL contains the host - **Production (Vercel)**: Fails because the relative URL cannot be resolved to a valid absolute URL without proper host context **What impact it has:** The frontend-only pipeline fallback (Strategy 2) in lines 101-132 is completely broken in production. When the backend is unavailable (common on Vercel), the code attempts to use `/api/transcribe` and `/api/extract-events` serverless functions but fails due to unresolvable relative URLs. This causes the entire video analysis endpoint to fail when the backend is unavailable. ## Fix Explanation **Changes made:** 1. Added a `getBaseUrl(request: Request)` helper function that extracts the absolute base URL from the incoming request object using `new URL(request.url)` 2. Updated line 108: `fetch('/api/transcribe', ...)` → `fetch(`${baseUrl}/api/transcribe`, ...)` 3. Updated line 127: `fetch('/api/extract-events', ...)` → `fetch(`${baseUrl}/api/extract-events`, ...)` **Why it solves the issue:** - The incoming `request` object contains the full URL including protocol and host - By constructing an absolute URL from the request, we ensure the fetch calls work in both development and production - This approach is more reliable than environment variables because it uses the actual request context, handling reverse proxies and different deployment configurations correctly Co-authored-by: Vercel <vercel[bot]@users.noreply.github.com> Co-authored-by: groupthinking <garveyht@gmail.com> * Initial plan * chore(deps): bump the npm_and_yarn group across 1 directory with 1 update Bumps the npm_and_yarn group with 1 update in the /docs/knowledge_prototypes/mcp-servers/fetch-mcp directory: [minimatch](https://github.com/isaacs/minimatch). Updates `minimatch` from 3.1.2 to 3.1.5 - [Changelog](https://github.com/isaacs/minimatch/blob/main/changelog.md) - [Commits](isaacs/minimatch@v3.1.2...v3.1.5) Updates `minimatch` from 5.1.6 to 5.1.9 - [Changelog](https://github.com/isaacs/minimatch/blob/main/changelog.md) - [Commits](isaacs/minimatch@v3.1.2...v3.1.5) --- updated-dependencies: - dependency-name: minimatch dependency-version: 3.1.5 dependency-type: indirect dependency-group: npm_and_yarn - dependency-name: minimatch dependency-version: 5.1.9 dependency-type: indirect dependency-group: npm_and_yarn ... Signed-off-by: dependabot[bot] <support@github.com> * fix: validate BACKEND_URL before using it Skip backend calls entirely when BACKEND_URL is not configured or contains an invalid value (like a literal ${...} template string). This prevents URL parse errors on Vercel where the env var may not be set. https://claude.ai/code/session_015Pd3a6hinTenCNrPRGiZqE * fix: resolve embeddings package build errors (#41) - Create stub types for Firebase Data Connect SDK in src/dataconnect-generated/ - Fix import path from ../dataconnect-generated to ./dataconnect-generated (rootDir constraint) - Add explicit type assertions for JSON responses (predictions, access_token) - All 6 TypeScript errors resolved, clean build verified Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * feat: Gemini SDK upgrade + VideoPack schema alignment (#43) * chore: Update generated Chrome profile cache and session data for notebooklm. * chore: refresh notebooklm Chrome profile data, including Safe Browsing lists, caches, and session files. * Update local application cache and database files within the NotebookLM Chrome profile. * chore: update Chrome profile cache and Safe Browsing data files. * feat: upgrade Gemini to @google/genai SDK with structured output, search grounding, video URL processing, and extend VideoPack schema - Upgrade extract-events/route.ts from @google/generative-ai to @google/genai - Add Gemini responseSchema with Type system for structured output enforcement - Add Google Search grounding (googleSearch tool) to Gemini calls - Upgrade transcribe/route.ts to @google/genai with direct YouTube URL processing via fileData - Add Gemini video URL fallback chain: direct video → text+search → other strategies - Extend VideoPackV0 schema with Chapter, CodeCue, Task models - Update versioning shim for new fields - Export new types from videopack __init__ Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * feat: wire CloudEvents pipeline + Chrome Built-in AI fallback (#44) - Add TypeScript CloudEvents publisher (apps/web/src/lib/cloudevents.ts) emitting standardized events at each video processing stage - Wire CloudEvents into /api/video route (both backend + frontend strategies) - Wire CloudEvents into FastAPI backend router (process_video_v1 endpoint) - Add Chrome Built-in AI service (Prompt API + Summarizer API) for on-device client-side transcript analysis when API keys are unavailable - Add useBuiltInAI React hook for component integration - Add .next/ to .gitignore Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * feat: wire A2A inter-agent messaging into orchestrator + API (#45) - Add A2AContextMessage dataclass to AgentOrchestrator for lightweight inter-agent context sharing during parallel task execution - Auto-broadcast agent results to peer agents after parallel execution - Add send_a2a_message() and get_a2a_log() methods to orchestrator - Add POST /api/v1/agents/a2a/send endpoint for frontend-to-agent messaging - Add GET /api/v1/agents/a2a/log endpoint to query message history - Extend frontend agentService with sendA2AMessage() and getA2ALog() Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * feat: add LiteRT-LM setup script and update README (#46) - Add setup.sh to download lit CLI binary and .litertlm model - Support macOS arm64 and x86_64 architectures - Auto-generate .env with LIT_BINARY_PATH and LIT_MODEL_PATH - Add .gitignore for bin/, models/, .env - Update README with Quick Setup section Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * feat: implement Gemini agentic video analysis with Google Search grounding (#47) - Create gemini-video-analyzer.ts: single Gemini call with googleSearch tool for transcript extraction AND event analysis (PK=998 pattern) - Add youtube-metadata.ts: scrapes title, description, chapters from YouTube without API key - Update /api/video: Gemini agentic analysis as primary strategy, transcribe→extract chain as fallback - Fix /api/transcribe: remove broken fileData.fileUri, use Gemini Google Search grounding as primary, add metadata context, filter garbage OpenAI results - Fix /api/extract-events: accept videoUrl without requiring transcript, direct Gemini analysis via Google Search when no transcript available Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix: support Vertex_AI_API_KEY as Gemini key fallback Create shared gemini-client.ts that resolves API key from: GEMINI_API_KEY → GOOGLE_API_KEY → Vertex_AI_API_KEY All API routes now use the shared client instead of hardcoding process.env.GEMINI_API_KEY. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix: use Vertex AI Express Mode for Vertex_AI_API_KEY When only Vertex_AI_API_KEY is set (no GEMINI_API_KEY), the client now initializes in Vertex AI mode with vertexai: true + apiKey. Uses project uvai-730bb and us-central1 as defaults. Also added GOOGLE_CLOUD_PROJECT env var to Vercel. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix: Vertex AI Express Mode compatibility — remove responseSchema+googleSearch conflict (#48) Vertex AI does not support controlled generation (responseSchema) combined with the googleSearch tool. This caused 400 errors on every Gemini call. Changes: - gemini-client.ts: Prioritize Vertex_AI_API_KEY, support GOOGLE_GENAI_USE_VERTEXAI env var - gemini-video-analyzer.ts: Remove responseSchema, enforce JSON via prompt instructions - extract-events/route.ts: Same fix for extractWithGemini and inline Gemini calls - Strip markdown code fences from responses before JSON parsing Tested end-to-end with Vertex AI Express Mode key against multiple YouTube videos. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix: restore full PK=998 pattern — responseSchema + googleSearch + gemini-3-pro-preview (#49) The previous fix (PR #48) was a shortcut — it removed responseSchema when the real issue was using gemini-2.5-flash which doesn't support responseSchema + googleSearch together on Vertex AI. gemini-3-pro-preview DOES support the combination. This commit restores the exact PK=998 pattern: - gemini-video-analyzer.ts: Restored responseSchema with Type system, responseMimeType, e22Snippets field, model → gemini-3-pro-preview - extract-events/route.ts: Restored geminiResponseSchema, Type import, responseMimeType, model → gemini-3-pro-preview - transcribe/route.ts: model → gemini-3-pro-preview Tested with Vertex AI Express Mode key on two YouTube videos. Both return structured JSON with events, transcript, actions, codeMapping, cloudService, e22Snippets, architectureCode, ingestScript. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * feat: end-to-end pipeline — YouTube URL to deployed software (#50) - Add /api/pipeline route for full end-to-end pipeline (video analysis → code generation → GitHub repo → Vercel deploy) - Add deployPipeline() action to dashboard store with stage tracking - Add 🚀 Deploy button to dashboard alongside Analyze - Show pipeline results (live URL, GitHub repo, framework) in video cards - Fix deployment_manager import path in video_processing_service - Wire pipeline to backend /api/v1/video-to-software endpoint - Fallback to Gemini-only analysis when no backend available Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix: add writable directories to Docker image for deployment pipeline Create /app/generated_projects, /app/youtube_processed_videos, and /tmp/uvai_data directories in Dockerfile to fix permission denied errors in the deployment and video processing pipeline on Railway. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix: security hardening, video-specific codegen, API consistency - CORS: replace wildcard/glob with explicit allowed origins in both entry points - Rate limiting: enable 60 req/min with 15 burst on backend - API auth: add optional X-API-Key middleware for pipeline endpoints - Codegen: generate video-specific HTML/CSS/JS from analysis output - API: accept both 'url' and 'video_url' via Pydantic alias - Deploy: fix Vercel REST API payload format (gitSource instead of gitRepository) Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix: Vercel deployment returning empty live_url Root causes fixed: - Case mismatch in _poll_deployment_status: compared lowercased status against uppercase success_statuses list, so READY was never matched - Vercel API returns bare domain URLs without https:// prefix; added _ensure_https() to normalize them - Poll requests were missing auth headers, causing 401 failures - _deploy_files_directly fallback returned fake simulated URLs that masked real failures; removed in favor of proper error reporting - _generate_deployment_urls only returned URLs from 'success' status deployments, discarding useful fallback URLs from failed deployments Improvements: - On API failure (permissions, plan limits), return a Vercel import URL the user can click to deploy manually instead of an empty string - Support VERCEL_ORG_ID team scoping on deploy and poll endpoints - Use readyState field (Vercel v13 API) for initial status check - Add 'canceled' to failure status list in poll loop - Poll failures are now non-fatal; initial URL is used as fallback Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix: harden slim entry point — CORS, rate limiting, auth, security headers - Add uvaiio.vercel.app to CORS allowed origins - Add slowapi rate limiting (60 req/min) - Add API key auth middleware (optional via EVENTRELAY_API_KEY) - Add security headers (X-Content-Type-Options, X-Frame-Options, X-XSS-Protection) - Fixes production gap where slim main.py had none of the backend/main.py protections Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix: resolve Pydantic Config/model_config conflict breaking Railway deploy The VideoToSoftwareRequest model had both 'model_config = ConfigDict(...)' and 'class Config:' which Pydantic v2 rejects. Merged into single model_config. This was causing the v1 router to fail loading, making /api/v1/health return 404. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: Claude <noreply@anthropic.com> Co-authored-by: Copilot Autofix powered by AI <62310815+github-advanced-security[bot]@users.noreply.github.com> Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Co-authored-by: vercel[bot] <35613825+vercel[bot]@users.noreply.github.com> Co-authored-by: Vercel <vercel[bot]@users.noreply.github.com> Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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Cross-Reference: UVAI Notes → EventRelay Alignment
Changes
@google/generative-aito@google/genai(new SDK) in bothextract-eventsandtranscriberoutesresponseSchemawithTypesystem for Gemini responses (enforced JSON schema instead of prompt-based parsing)googleSearchtool to Gemini calls for fact verificationfileData+fileUrifor transcription (with text fallback)Chapter,CodeCue,Taskmodels toVideoPackV0schema (backward compatible with defaults)Notes Cross-Reference
Validation
npx tsc --noEmit✅