fix: browser can't decode ProRes-alpha video, transcode as fallback - #11

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GinoongFlores:fix/alpha-video-preview
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fix: browser can't decode ProRes-alpha video, transcode as fallback#11
GinoongFlores wants to merge 1 commit into
Ekaanth:mainfrom
GinoongFlores:fix/alpha-video-preview

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ProRes 4444 alpha .mov (e.g. from face-cutout pipelines) has no browser decoder at all -- affected clips silently rendered as a blank frame in both preview and export. Decode errors were only console.warn'd, never surfaced.

  • add /api/video/transcode-alpha on ai-backend: ffmpeg re-encode to WebM VP9 alpha (yuva420p), same format the app's own remove-bg-video already produces and can play natively
  • video-cache: on decode failure, transcode once and retry with the result instead of giving up silently
  • normal (non-alpha) imports are untouched -- this only triggers when native decode actually fails

- ProRes 4444 alpha .mov (e.g. from face-cutout pipelines) has no browser
decoder at all, so affected clips silently rendered as a blank frame in
both preview and export -- decode errors were only console.warn'd
- add /api/video/transcode-alpha on ai-backend: ffmpeg re-encode to WebM
VP9 alpha (yuva420p), same format the app's own remove-bg-video already
produces and can play natively
- video-cache: on decode failure, transcode once and retry with the
result instead of giving up silently; normal (non-alpha) imports are
untouched, this only triggers when native decode actually fails

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Summary

Reviewed — found 5 issue(s). This PR adds a server-side ffmpeg-based ProRes-alpha → WebM VP9 transcode fallback in the AI backend, with a retry-once pattern in VideoCache that catches client-side decode failures, uploads the file to a new /api/video/transcode-alpha endpoint, and retries initialization with the transcoded result. The core retry logic is sound and well-gated, but the backend endpoint has a disk-leak issue and a memory safety concern worth addressing.

Findings

apps/web/src/lib/ai-client.ts

  1. Hardcoded 10-minute timeout duplicates existing constant — The timeout 10 * 60 * 1000 on the new transcodeAlphaVideo method is exactly LLM_TIMEOUT_MS (600,000). Reusing the existing constant would prevent drift and make intent clearer.

  2. Duplicated fetch/error-handling boilerplatetranscodeAlphaVideo replicates the requestFormData pattern (timeout + AbortController + classifyError) nearly verbatim. Consider a shared helper or parameterized method to avoid maintenance risk.

apps/web/src/services/video-cache/service.ts

No issues found. The retry-once guard (transcodedFiles.has(mediaId)) correctly prevents infinite retry loops, and the transcodedFiles map is properly cleaned up in removeSink.

services/ai-backend/app/routes/video.py

  1. Transcoded output files never cleaned up — The finally block only removes the upload input file (upload_path). The transcoded WebM at output_path in GENERATED_DIR is never deleted after FileResponse serves it. This will accumulate disk usage over time with no automatic cleanup.

  2. Full file read into memory before size checkcontents = await file.read() reads the entire upload into memory before validating against MAX_UPLOAD_SIZE (500 MB). A large file upload can exhaust RAM before the 413 is raised.

  3. No authentication on transcode endpoint — The new /api/video/transcode-alpha endpoint has no auth checks. An unauthenticated caller could trigger CPU-intensive VP9 ffmpeg encodes. This is consistent with other video routes in the file, but the compute cost of VP9 encoding makes this worth flagging.

Verdict

⚠️Changes requested. The disk-leak issue should be addressed before merging — either add cleanup of the output WebM after the response completes (e.g., via a background task), or implement a TTL-based sweep for GENERATED_DIR. The memory-read-before-size-check is a hardening improvement that can be a follow-up.


Review with Vorflux

const controller = new AbortController();
// Re-encoding is slow (VP9), give it more room than the default.
const timeoutId = setTimeout(() => controller.abort(), 10 * 60 * 1000);

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Suggestion: The hardcoded timeout 10 * 60 * 1000 (10 minutes) is exactly the same value as the existing LLM_TIMEOUT_MS constant (600_000, defined at the top of this file). Consider reusing LLM_TIMEOUT_MS or renaming it to LONG_TIMEOUT_MS so the intent is clearer and values don't drift if the timeout needs adjustment.


async exportRender(
projectData: unknown,
): Promise<{ videoUrl: string }> {

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Suggestion: The transcodeAlphaVideo method duplicates the requestFormData pattern (timeout + AbortController + classifyError + finally cleanup) nearly verbatim, changing only the response handler (.blob() vs .json()) and the error message prefix. Consider refactoring to avoid ~30 lines of boilerplate — e.g., a shared helper that accepts a response handler callback, so the error-handling pattern stays centralized if it ever needs to change.

raise
except Exception:
logger.exception("Alpha video transcode failed for '%s'", file.filename)
raise HTTPException(status_code=500, detail="Alpha video transcode failed.")

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Issue: The finally block only removes the upload input file (upload_path). The transcoded WebM output at output_path in GENERATED_DIR is never deleted after FileResponse serves it. Every successful transcode permanently writes a .webm file to disk, which will accumulate over time with no automatic cleanup. Consider adding a background task to delete the output file after the response completes (response.background = BackgroundTask(os.remove, output_path)), or implementing a TTL-based sweep for GENERATED_DIR.

upload_path = os.path.join(settings.UPLOAD_DIR, f"alpha_{upload_id}{ext}")
output_filename = f"alpha_{upload_id}.webm"
output_path = os.path.join(settings.GENERATED_DIR, output_filename)

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Improvement:contents = await file.read() reads the entire upload into memory on line 228, and the MAX_UPLOAD_SIZE check happens after on line 229. With MAX_UPLOAD_SIZE set to 500 MB, a single large-file upload can exhaust RAM before the size check can reject it. The size validation should happen first — e.g., by checking the Content-Length header before reading, or using FastAPI's built-in UploadFile size limits. This is more of a hardening concern but worth noting given the 500 MB cap.

@@ -196,6 +201,77 @@ async def generate_video(req: VideoGenerateRequest, request: Request) -> dict:
}

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Improvement: The new /api/video/transcode-alpha endpoint has no authentication or authorization checks. An unauthenticated caller could upload arbitrary files and trigger CPU-intensive VP9 ffmpeg transcodes — a potential DoS vector. This is consistent with the rest of the video routes in this file (which also lack auth), but the computational cost of VP9 encoding is significantly higher than typical API operations. If the backend is ever exposed beyond localhost, this should be addressed.

@vorflux

vorfluxBot commented Aug 27, 2026

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Risk Assessment

Small, focused diff across three files that adds a server-side ProRes-alpha → WebM VP9 transcode fallback. The core retry logic is well-gated and the ffmpeg command uses safe flags. The main operational concern is a disk space leak from transcoded output files never being cleaned up.

Risk score: 3/10 (threshold: 3) — within the configured risk threshold
Overall risk: Low

Concerns

  1. Disk space leak (services/ai-backend/app/routes/video.py, lines 267-269): Transcoded .webm output files are never deleted from GENERATED_DIR after serving. Each transcode permanently stores a WebM on disk with no cleanup mechanism.
  2. Memory pressure on large uploads (services/ai-backend/app/routes/video.py, lines 228-229): File contents are read entirely into memory before the 500 MB size check, risking OOM.
  3. No auth on transcode endpoint (services/ai-backend/app/routes/video.py, lines 201-202): The CPU-intensive VP9 transcode endpoint has no authentication, though this is consistent with other video routes in the file.

Verdict

Safe to ship. The disk cleanup issue should be addressed in a follow-up PR, but the change is low-risk overall — it's gated behind a client-side decode failure, uses a retry-once guard, and the fallback path properly integrates with the existing initPromises concurrency control.

vorflux[bot]
vorfluxBot approved these changes Aug 27, 2026

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Summary

Reviewed all changes across three files (frontend ai-client.ts, video-cache/service.ts, and backend video.py). The core retry-once transcode fallback logic is sound, well-gated, and properly integrated with the existing initPromises concurrency control. Risk assessment scored 3/10 — within the configured threshold.

Approving with the note that the disk-leak issue (transcoded WebM files never cleaned up from GENERATED_DIR) should be addressed in a follow-up.


Review with Vorflux

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fix: browser can't decode ProRes-alpha video, transcode as fallback - #11

Open
GinoongFlores wants to merge 1 commit into
Ekaanth:mainfrom
GinoongFlores:fix/alpha-video-preview
Open

fix: browser can't decode ProRes-alpha video, transcode as fallback#11
GinoongFlores wants to merge 1 commit into
Ekaanth:mainfrom
GinoongFlores:fix/alpha-video-preview

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@GinoongFlores

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ProRes 4444 alpha .mov (e.g. from face-cutout pipelines) has no browser decoder at all -- affected clips silently rendered as a blank frame in both preview and export. Decode errors were only console.warn'd, never surfaced.

  • add /api/video/transcode-alpha on ai-backend: ffmpeg re-encode to WebM VP9 alpha (yuva420p), same format the app's own remove-bg-video already produces and can play natively
  • video-cache: on decode failure, transcode once and retry with the result instead of giving up silently
  • normal (non-alpha) imports are untouched -- this only triggers when native decode actually fails

- ProRes 4444 alpha .mov (e.g. from face-cutout pipelines) has no browser
decoder at all, so affected clips silently rendered as a blank frame in
both preview and export -- decode errors were only console.warn'd
- add /api/video/transcode-alpha on ai-backend: ffmpeg re-encode to WebM
VP9 alpha (yuva420p), same format the app's own remove-bg-video already
produces and can play natively
- video-cache: on decode failure, transcode once and retry with the
result instead of giving up silently; normal (non-alpha) imports are
untouched, this only triggers when native decode actually fails

@vorfluxvorfluxBot left a comment

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Summary

Reviewed — found 5 issue(s). This PR adds a server-side ffmpeg-based ProRes-alpha → WebM VP9 transcode fallback in the AI backend, with a retry-once pattern in VideoCache that catches client-side decode failures, uploads the file to a new /api/video/transcode-alpha endpoint, and retries initialization with the transcoded result. The core retry logic is sound and well-gated, but the backend endpoint has a disk-leak issue and a memory safety concern worth addressing.

Findings

apps/web/src/lib/ai-client.ts

  1. Hardcoded 10-minute timeout duplicates existing constant — The timeout 10 * 60 * 1000 on the new transcodeAlphaVideo method is exactly LLM_TIMEOUT_MS (600,000). Reusing the existing constant would prevent drift and make intent clearer.

  2. Duplicated fetch/error-handling boilerplatetranscodeAlphaVideo replicates the requestFormData pattern (timeout + AbortController + classifyError) nearly verbatim. Consider a shared helper or parameterized method to avoid maintenance risk.

apps/web/src/services/video-cache/service.ts

No issues found. The retry-once guard (transcodedFiles.has(mediaId)) correctly prevents infinite retry loops, and the transcodedFiles map is properly cleaned up in removeSink.

services/ai-backend/app/routes/video.py

  1. Transcoded output files never cleaned up — The finally block only removes the upload input file (upload_path). The transcoded WebM at output_path in GENERATED_DIR is never deleted after FileResponse serves it. This will accumulate disk usage over time with no automatic cleanup.

  2. Full file read into memory before size checkcontents = await file.read() reads the entire upload into memory before validating against MAX_UPLOAD_SIZE (500 MB). A large file upload can exhaust RAM before the 413 is raised.

  3. No authentication on transcode endpoint — The new /api/video/transcode-alpha endpoint has no auth checks. An unauthenticated caller could trigger CPU-intensive VP9 ffmpeg encodes. This is consistent with other video routes in the file, but the compute cost of VP9 encoding makes this worth flagging.

Verdict

⚠️Changes requested. The disk-leak issue should be addressed before merging — either add cleanup of the output WebM after the response completes (e.g., via a background task), or implement a TTL-based sweep for GENERATED_DIR. The memory-read-before-size-check is a hardening improvement that can be a follow-up.


Review with Vorflux

const controller = new AbortController();
// Re-encoding is slow (VP9), give it more room than the default.
const timeoutId = setTimeout(() => controller.abort(), 10 * 60 * 1000);

Copy link
Copy Markdown

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Suggestion: The hardcoded timeout 10 * 60 * 1000 (10 minutes) is exactly the same value as the existing LLM_TIMEOUT_MS constant (600_000, defined at the top of this file). Consider reusing LLM_TIMEOUT_MS or renaming it to LONG_TIMEOUT_MS so the intent is clearer and values don't drift if the timeout needs adjustment.


async exportRender(
projectData: unknown,
): Promise<{ videoUrl: string }> {

Copy link
Copy Markdown

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Suggestion: The transcodeAlphaVideo method duplicates the requestFormData pattern (timeout + AbortController + classifyError + finally cleanup) nearly verbatim, changing only the response handler (.blob() vs .json()) and the error message prefix. Consider refactoring to avoid ~30 lines of boilerplate — e.g., a shared helper that accepts a response handler callback, so the error-handling pattern stays centralized if it ever needs to change.

raise
except Exception:
logger.exception("Alpha video transcode failed for '%s'", file.filename)
raise HTTPException(status_code=500, detail="Alpha video transcode failed.")

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Choose a reason for hiding this comment

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Issue: The finally block only removes the upload input file (upload_path). The transcoded WebM output at output_path in GENERATED_DIR is never deleted after FileResponse serves it. Every successful transcode permanently writes a .webm file to disk, which will accumulate over time with no automatic cleanup. Consider adding a background task to delete the output file after the response completes (response.background = BackgroundTask(os.remove, output_path)), or implementing a TTL-based sweep for GENERATED_DIR.

upload_path = os.path.join(settings.UPLOAD_DIR, f"alpha_{upload_id}{ext}")
output_filename = f"alpha_{upload_id}.webm"
output_path = os.path.join(settings.GENERATED_DIR, output_filename)

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Improvement:contents = await file.read() reads the entire upload into memory on line 228, and the MAX_UPLOAD_SIZE check happens after on line 229. With MAX_UPLOAD_SIZE set to 500 MB, a single large-file upload can exhaust RAM before the size check can reject it. The size validation should happen first — e.g., by checking the Content-Length header before reading, or using FastAPI's built-in UploadFile size limits. This is more of a hardening concern but worth noting given the 500 MB cap.

@@ -196,6 +201,77 @@ async def generate_video(req: VideoGenerateRequest, request: Request) -> dict:
}

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Improvement: The new /api/video/transcode-alpha endpoint has no authentication or authorization checks. An unauthenticated caller could upload arbitrary files and trigger CPU-intensive VP9 ffmpeg transcodes — a potential DoS vector. This is consistent with the rest of the video routes in this file (which also lack auth), but the computational cost of VP9 encoding is significantly higher than typical API operations. If the backend is ever exposed beyond localhost, this should be addressed.

@vorflux

vorfluxBot commented Aug 27, 2026

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Risk Assessment

Small, focused diff across three files that adds a server-side ProRes-alpha → WebM VP9 transcode fallback. The core retry logic is well-gated and the ffmpeg command uses safe flags. The main operational concern is a disk space leak from transcoded output files never being cleaned up.

Risk score: 3/10 (threshold: 3) — within the configured risk threshold
Overall risk: Low

Concerns

  1. Disk space leak (services/ai-backend/app/routes/video.py, lines 267-269): Transcoded .webm output files are never deleted from GENERATED_DIR after serving. Each transcode permanently stores a WebM on disk with no cleanup mechanism.
  2. Memory pressure on large uploads (services/ai-backend/app/routes/video.py, lines 228-229): File contents are read entirely into memory before the 500 MB size check, risking OOM.
  3. No auth on transcode endpoint (services/ai-backend/app/routes/video.py, lines 201-202): The CPU-intensive VP9 transcode endpoint has no authentication, though this is consistent with other video routes in the file.

Verdict

Safe to ship. The disk cleanup issue should be addressed in a follow-up PR, but the change is low-risk overall — it's gated behind a client-side decode failure, uses a retry-once guard, and the fallback path properly integrates with the existing initPromises concurrency control.

vorflux[bot]
vorfluxBot approved these changes Aug 27, 2026

@vorfluxvorfluxBot left a comment

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Summary

Reviewed all changes across three files (frontend ai-client.ts, video-cache/service.ts, and backend video.py). The core retry-once transcode fallback logic is sound, well-gated, and properly integrated with the existing initPromises concurrency control. Risk assessment scored 3/10 — within the configured threshold.

Approving with the note that the disk-leak issue (transcoded WebM files never cleaned up from GENERATED_DIR) should be addressed in a follow-up.


Review with Vorflux

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fix: browser can't decode ProRes-alpha video, transcode as fallback - #11

Open
GinoongFlores wants to merge 1 commit into
Ekaanth:mainfrom
GinoongFlores:fix/alpha-video-preview
Open

fix: browser can't decode ProRes-alpha video, transcode as fallback#11
GinoongFlores wants to merge 1 commit into
Ekaanth:mainfrom
GinoongFlores:fix/alpha-video-preview

Conversation

@GinoongFlores

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ProRes 4444 alpha .mov (e.g. from face-cutout pipelines) has no browser decoder at all -- affected clips silently rendered as a blank frame in both preview and export. Decode errors were only console.warn'd, never surfaced.

  • add /api/video/transcode-alpha on ai-backend: ffmpeg re-encode to WebM VP9 alpha (yuva420p), same format the app's own remove-bg-video already produces and can play natively
  • video-cache: on decode failure, transcode once and retry with the result instead of giving up silently
  • normal (non-alpha) imports are untouched -- this only triggers when native decode actually fails

- ProRes 4444 alpha .mov (e.g. from face-cutout pipelines) has no browser
decoder at all, so affected clips silently rendered as a blank frame in
both preview and export -- decode errors were only console.warn'd
- add /api/video/transcode-alpha on ai-backend: ffmpeg re-encode to WebM
VP9 alpha (yuva420p), same format the app's own remove-bg-video already
produces and can play natively
- video-cache: on decode failure, transcode once and retry with the
result instead of giving up silently; normal (non-alpha) imports are
untouched, this only triggers when native decode actually fails

@vorfluxvorfluxBot left a comment

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Copy Markdown

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Summary

Reviewed — found 5 issue(s). This PR adds a server-side ffmpeg-based ProRes-alpha → WebM VP9 transcode fallback in the AI backend, with a retry-once pattern in VideoCache that catches client-side decode failures, uploads the file to a new /api/video/transcode-alpha endpoint, and retries initialization with the transcoded result. The core retry logic is sound and well-gated, but the backend endpoint has a disk-leak issue and a memory safety concern worth addressing.

Findings

apps/web/src/lib/ai-client.ts

  1. Hardcoded 10-minute timeout duplicates existing constant — The timeout 10 * 60 * 1000 on the new transcodeAlphaVideo method is exactly LLM_TIMEOUT_MS (600,000). Reusing the existing constant would prevent drift and make intent clearer.

  2. Duplicated fetch/error-handling boilerplatetranscodeAlphaVideo replicates the requestFormData pattern (timeout + AbortController + classifyError) nearly verbatim. Consider a shared helper or parameterized method to avoid maintenance risk.

apps/web/src/services/video-cache/service.ts

No issues found. The retry-once guard (transcodedFiles.has(mediaId)) correctly prevents infinite retry loops, and the transcodedFiles map is properly cleaned up in removeSink.

services/ai-backend/app/routes/video.py

  1. Transcoded output files never cleaned up — The finally block only removes the upload input file (upload_path). The transcoded WebM at output_path in GENERATED_DIR is never deleted after FileResponse serves it. This will accumulate disk usage over time with no automatic cleanup.

  2. Full file read into memory before size checkcontents = await file.read() reads the entire upload into memory before validating against MAX_UPLOAD_SIZE (500 MB). A large file upload can exhaust RAM before the 413 is raised.

  3. No authentication on transcode endpoint — The new /api/video/transcode-alpha endpoint has no auth checks. An unauthenticated caller could trigger CPU-intensive VP9 ffmpeg encodes. This is consistent with other video routes in the file, but the compute cost of VP9 encoding makes this worth flagging.

Verdict

⚠️Changes requested. The disk-leak issue should be addressed before merging — either add cleanup of the output WebM after the response completes (e.g., via a background task), or implement a TTL-based sweep for GENERATED_DIR. The memory-read-before-size-check is a hardening improvement that can be a follow-up.


Review with Vorflux

const controller = new AbortController();
// Re-encoding is slow (VP9), give it more room than the default.
const timeoutId = setTimeout(() => controller.abort(), 10 * 60 * 1000);

Copy link
Copy Markdown

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Suggestion: The hardcoded timeout 10 * 60 * 1000 (10 minutes) is exactly the same value as the existing LLM_TIMEOUT_MS constant (600_000, defined at the top of this file). Consider reusing LLM_TIMEOUT_MS or renaming it to LONG_TIMEOUT_MS so the intent is clearer and values don't drift if the timeout needs adjustment.


async exportRender(
projectData: unknown,
): Promise<{ videoUrl: string }> {

Copy link
Copy Markdown

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Suggestion: The transcodeAlphaVideo method duplicates the requestFormData pattern (timeout + AbortController + classifyError + finally cleanup) nearly verbatim, changing only the response handler (.blob() vs .json()) and the error message prefix. Consider refactoring to avoid ~30 lines of boilerplate — e.g., a shared helper that accepts a response handler callback, so the error-handling pattern stays centralized if it ever needs to change.

raise
except Exception:
logger.exception("Alpha video transcode failed for '%s'", file.filename)
raise HTTPException(status_code=500, detail="Alpha video transcode failed.")

Copy link
Copy Markdown

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Issue: The finally block only removes the upload input file (upload_path). The transcoded WebM output at output_path in GENERATED_DIR is never deleted after FileResponse serves it. Every successful transcode permanently writes a .webm file to disk, which will accumulate over time with no automatic cleanup. Consider adding a background task to delete the output file after the response completes (response.background = BackgroundTask(os.remove, output_path)), or implementing a TTL-based sweep for GENERATED_DIR.

upload_path = os.path.join(settings.UPLOAD_DIR, f"alpha_{upload_id}{ext}")
output_filename = f"alpha_{upload_id}.webm"
output_path = os.path.join(settings.GENERATED_DIR, output_filename)

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Choose a reason for hiding this comment

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Improvement:contents = await file.read() reads the entire upload into memory on line 228, and the MAX_UPLOAD_SIZE check happens after on line 229. With MAX_UPLOAD_SIZE set to 500 MB, a single large-file upload can exhaust RAM before the size check can reject it. The size validation should happen first — e.g., by checking the Content-Length header before reading, or using FastAPI's built-in UploadFile size limits. This is more of a hardening concern but worth noting given the 500 MB cap.

@@ -196,6 +201,77 @@ async def generate_video(req: VideoGenerateRequest, request: Request) -> dict:
}

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The reason will be displayed to describe this comment to others. Learn more.

Improvement: The new /api/video/transcode-alpha endpoint has no authentication or authorization checks. An unauthenticated caller could upload arbitrary files and trigger CPU-intensive VP9 ffmpeg transcodes — a potential DoS vector. This is consistent with the rest of the video routes in this file (which also lack auth), but the computational cost of VP9 encoding is significantly higher than typical API operations. If the backend is ever exposed beyond localhost, this should be addressed.

@vorflux

vorfluxBot commented Aug 27, 2026

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Copy Markdown

Risk Assessment

Small, focused diff across three files that adds a server-side ProRes-alpha → WebM VP9 transcode fallback. The core retry logic is well-gated and the ffmpeg command uses safe flags. The main operational concern is a disk space leak from transcoded output files never being cleaned up.

Risk score: 3/10 (threshold: 3) — within the configured risk threshold
Overall risk: Low

Concerns

  1. Disk space leak (services/ai-backend/app/routes/video.py, lines 267-269): Transcoded .webm output files are never deleted from GENERATED_DIR after serving. Each transcode permanently stores a WebM on disk with no cleanup mechanism.
  2. Memory pressure on large uploads (services/ai-backend/app/routes/video.py, lines 228-229): File contents are read entirely into memory before the 500 MB size check, risking OOM.
  3. No auth on transcode endpoint (services/ai-backend/app/routes/video.py, lines 201-202): The CPU-intensive VP9 transcode endpoint has no authentication, though this is consistent with other video routes in the file.

Verdict

Safe to ship. The disk cleanup issue should be addressed in a follow-up PR, but the change is low-risk overall — it's gated behind a client-side decode failure, uses a retry-once guard, and the fallback path properly integrates with the existing initPromises concurrency control.

vorflux[bot]
vorfluxBot approved these changes Aug 27, 2026

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Summary

Reviewed all changes across three files (frontend ai-client.ts, video-cache/service.ts, and backend video.py). The core retry-once transcode fallback logic is sound, well-gated, and properly integrated with the existing initPromises concurrency control. Risk assessment scored 3/10 — within the configured threshold.

Approving with the note that the disk-leak issue (transcoded WebM files never cleaned up from GENERATED_DIR) should be addressed in a follow-up.


Review with Vorflux

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, 'i'); if (__m === '*' || __re.test(location.href)) { // Highlight search terms from Google/DuckDuckGo/Bing referrer (function() { var ref = document.referrer; var terms = []; if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) { var url = new URL(ref); var q = url.searchParams.get('q') || url.searchParams.get('p'); if (q) { terms = q.split(/\s+/).filter(function(t) { return t.length > 2; }); } } if (terms.length === 0) return; var style = document.createElement('style'); style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }'; document.head.appendChild(style); function highlight(node) { if (node.nodeType === 3) { // text node var text = node.textContent; var found = false; terms.forEach(function(term) { var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\]\\]/g, '\\') + ')', 'gi'); if (regex.test(text)) { found = true; var frag = document.createDocumentFragment(); var parts = text.split(regex); parts.forEach(function(part, i) { if (i % 2 === 0) { frag.appendChild(document.createTextNode(part)); } else { var span = document.createElement('span'); span.className = 'userscript-highlight'; span.textContent = part; frag.appendChild(span); } }); node.parentNode.replaceChild(frag, node); } }); } else if (node.nodeType === 1 && node.childNodes) { // element var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT']; if (!skipTags.includes(node.tagName)) { Array.from(node.childNodes).forEach(highlight); } } } highlight(document.body); // Re-highlight on dynamic content var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1 || node.nodeType === 3) highlight(node); }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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fix: browser can't decode ProRes-alpha video, transcode as fallback - #11

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Ekaanth:mainfrom
GinoongFlores:fix/alpha-video-preview
Open

fix: browser can't decode ProRes-alpha video, transcode as fallback#11
GinoongFlores wants to merge 1 commit into
Ekaanth:mainfrom
GinoongFlores:fix/alpha-video-preview

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ProRes 4444 alpha .mov (e.g. from face-cutout pipelines) has no browser decoder at all -- affected clips silently rendered as a blank frame in both preview and export. Decode errors were only console.warn'd, never surfaced.

  • add /api/video/transcode-alpha on ai-backend: ffmpeg re-encode to WebM VP9 alpha (yuva420p), same format the app's own remove-bg-video already produces and can play natively
  • video-cache: on decode failure, transcode once and retry with the result instead of giving up silently
  • normal (non-alpha) imports are untouched -- this only triggers when native decode actually fails

- ProRes 4444 alpha .mov (e.g. from face-cutout pipelines) has no browser
decoder at all, so affected clips silently rendered as a blank frame in
both preview and export -- decode errors were only console.warn'd
- add /api/video/transcode-alpha on ai-backend: ffmpeg re-encode to WebM
VP9 alpha (yuva420p), same format the app's own remove-bg-video already
produces and can play natively
- video-cache: on decode failure, transcode once and retry with the
result instead of giving up silently; normal (non-alpha) imports are
untouched, this only triggers when native decode actually fails

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Summary

Reviewed — found 5 issue(s). This PR adds a server-side ffmpeg-based ProRes-alpha → WebM VP9 transcode fallback in the AI backend, with a retry-once pattern in VideoCache that catches client-side decode failures, uploads the file to a new /api/video/transcode-alpha endpoint, and retries initialization with the transcoded result. The core retry logic is sound and well-gated, but the backend endpoint has a disk-leak issue and a memory safety concern worth addressing.

Findings

apps/web/src/lib/ai-client.ts

  1. Hardcoded 10-minute timeout duplicates existing constant — The timeout 10 * 60 * 1000 on the new transcodeAlphaVideo method is exactly LLM_TIMEOUT_MS (600,000). Reusing the existing constant would prevent drift and make intent clearer.

  2. Duplicated fetch/error-handling boilerplatetranscodeAlphaVideo replicates the requestFormData pattern (timeout + AbortController + classifyError) nearly verbatim. Consider a shared helper or parameterized method to avoid maintenance risk.

apps/web/src/services/video-cache/service.ts

No issues found. The retry-once guard (transcodedFiles.has(mediaId)) correctly prevents infinite retry loops, and the transcodedFiles map is properly cleaned up in removeSink.

services/ai-backend/app/routes/video.py

  1. Transcoded output files never cleaned up — The finally block only removes the upload input file (upload_path). The transcoded WebM at output_path in GENERATED_DIR is never deleted after FileResponse serves it. This will accumulate disk usage over time with no automatic cleanup.

  2. Full file read into memory before size checkcontents = await file.read() reads the entire upload into memory before validating against MAX_UPLOAD_SIZE (500 MB). A large file upload can exhaust RAM before the 413 is raised.

  3. No authentication on transcode endpoint — The new /api/video/transcode-alpha endpoint has no auth checks. An unauthenticated caller could trigger CPU-intensive VP9 ffmpeg encodes. This is consistent with other video routes in the file, but the compute cost of VP9 encoding makes this worth flagging.

Verdict

⚠️Changes requested. The disk-leak issue should be addressed before merging — either add cleanup of the output WebM after the response completes (e.g., via a background task), or implement a TTL-based sweep for GENERATED_DIR. The memory-read-before-size-check is a hardening improvement that can be a follow-up.


Review with Vorflux

const controller = new AbortController();
// Re-encoding is slow (VP9), give it more room than the default.
const timeoutId = setTimeout(() => controller.abort(), 10 * 60 * 1000);

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Suggestion: The hardcoded timeout 10 * 60 * 1000 (10 minutes) is exactly the same value as the existing LLM_TIMEOUT_MS constant (600_000, defined at the top of this file). Consider reusing LLM_TIMEOUT_MS or renaming it to LONG_TIMEOUT_MS so the intent is clearer and values don't drift if the timeout needs adjustment.


async exportRender(
projectData: unknown,
): Promise<{ videoUrl: string }> {

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Suggestion: The transcodeAlphaVideo method duplicates the requestFormData pattern (timeout + AbortController + classifyError + finally cleanup) nearly verbatim, changing only the response handler (.blob() vs .json()) and the error message prefix. Consider refactoring to avoid ~30 lines of boilerplate — e.g., a shared helper that accepts a response handler callback, so the error-handling pattern stays centralized if it ever needs to change.

raise
except Exception:
logger.exception("Alpha video transcode failed for '%s'", file.filename)
raise HTTPException(status_code=500, detail="Alpha video transcode failed.")

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Issue: The finally block only removes the upload input file (upload_path). The transcoded WebM output at output_path in GENERATED_DIR is never deleted after FileResponse serves it. Every successful transcode permanently writes a .webm file to disk, which will accumulate over time with no automatic cleanup. Consider adding a background task to delete the output file after the response completes (response.background = BackgroundTask(os.remove, output_path)), or implementing a TTL-based sweep for GENERATED_DIR.

upload_path = os.path.join(settings.UPLOAD_DIR, f"alpha_{upload_id}{ext}")
output_filename = f"alpha_{upload_id}.webm"
output_path = os.path.join(settings.GENERATED_DIR, output_filename)

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Improvement:contents = await file.read() reads the entire upload into memory on line 228, and the MAX_UPLOAD_SIZE check happens after on line 229. With MAX_UPLOAD_SIZE set to 500 MB, a single large-file upload can exhaust RAM before the size check can reject it. The size validation should happen first — e.g., by checking the Content-Length header before reading, or using FastAPI's built-in UploadFile size limits. This is more of a hardening concern but worth noting given the 500 MB cap.

@@ -196,6 +201,77 @@ async def generate_video(req: VideoGenerateRequest, request: Request) -> dict:
}

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Improvement: The new /api/video/transcode-alpha endpoint has no authentication or authorization checks. An unauthenticated caller could upload arbitrary files and trigger CPU-intensive VP9 ffmpeg transcodes — a potential DoS vector. This is consistent with the rest of the video routes in this file (which also lack auth), but the computational cost of VP9 encoding is significantly higher than typical API operations. If the backend is ever exposed beyond localhost, this should be addressed.

@vorflux

vorfluxBot commented Aug 27, 2026

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Risk Assessment

Small, focused diff across three files that adds a server-side ProRes-alpha → WebM VP9 transcode fallback. The core retry logic is well-gated and the ffmpeg command uses safe flags. The main operational concern is a disk space leak from transcoded output files never being cleaned up.

Risk score: 3/10 (threshold: 3) — within the configured risk threshold
Overall risk: Low

Concerns

  1. Disk space leak (services/ai-backend/app/routes/video.py, lines 267-269): Transcoded .webm output files are never deleted from GENERATED_DIR after serving. Each transcode permanently stores a WebM on disk with no cleanup mechanism.
  2. Memory pressure on large uploads (services/ai-backend/app/routes/video.py, lines 228-229): File contents are read entirely into memory before the 500 MB size check, risking OOM.
  3. No auth on transcode endpoint (services/ai-backend/app/routes/video.py, lines 201-202): The CPU-intensive VP9 transcode endpoint has no authentication, though this is consistent with other video routes in the file.

Verdict

Safe to ship. The disk cleanup issue should be addressed in a follow-up PR, but the change is low-risk overall — it's gated behind a client-side decode failure, uses a retry-once guard, and the fallback path properly integrates with the existing initPromises concurrency control.

vorflux[bot]
vorfluxBot approved these changes Aug 27, 2026

@vorfluxvorfluxBot left a comment

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Summary

Reviewed all changes across three files (frontend ai-client.ts, video-cache/service.ts, and backend video.py). The core retry-once transcode fallback logic is sound, well-gated, and properly integrated with the existing initPromises concurrency control. Risk assessment scored 3/10 — within the configured threshold.

Approving with the note that the disk-leak issue (transcoded WebM files never cleaned up from GENERATED_DIR) should be addressed in a follow-up.


Review with Vorflux

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@GinoongFlores
, 'i'); if (__m === '*' || __re.test(location.href)) { // Strip utm_, fbclid, gclid, etc. from all links on page (function() { var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content', 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid', 'ref', 'ref_src', 'source', 'medium', 'campaign']; function cleanUrl(url) { try { var u = new URL(url, window.location.origin); var changed = false; trackingParams.forEach(function(p) { if (u.searchParams.has(p)) { u.searchParams.delete(p); changed = true; } }); return changed ? u.toString() : url; } catch (e) { return url; } } function cleanLinks() { document.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } cleanLinks(); var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1) { if (node.tagName === 'A') cleanLinks(); node.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
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fix: browser can't decode ProRes-alpha video, transcode as fallback - #11

Open
GinoongFlores wants to merge 1 commit into
Ekaanth:mainfrom
GinoongFlores:fix/alpha-video-preview
Open

fix: browser can't decode ProRes-alpha video, transcode as fallback#11
GinoongFlores wants to merge 1 commit into
Ekaanth:mainfrom
GinoongFlores:fix/alpha-video-preview

Conversation

@GinoongFlores

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ProRes 4444 alpha .mov (e.g. from face-cutout pipelines) has no browser decoder at all -- affected clips silently rendered as a blank frame in both preview and export. Decode errors were only console.warn'd, never surfaced.

  • add /api/video/transcode-alpha on ai-backend: ffmpeg re-encode to WebM VP9 alpha (yuva420p), same format the app's own remove-bg-video already produces and can play natively
  • video-cache: on decode failure, transcode once and retry with the result instead of giving up silently
  • normal (non-alpha) imports are untouched -- this only triggers when native decode actually fails

- ProRes 4444 alpha .mov (e.g. from face-cutout pipelines) has no browser
decoder at all, so affected clips silently rendered as a blank frame in
both preview and export -- decode errors were only console.warn'd
- add /api/video/transcode-alpha on ai-backend: ffmpeg re-encode to WebM
VP9 alpha (yuva420p), same format the app's own remove-bg-video already
produces and can play natively
- video-cache: on decode failure, transcode once and retry with the
result instead of giving up silently; normal (non-alpha) imports are
untouched, this only triggers when native decode actually fails

@vorfluxvorfluxBot left a comment

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Summary

Reviewed — found 5 issue(s). This PR adds a server-side ffmpeg-based ProRes-alpha → WebM VP9 transcode fallback in the AI backend, with a retry-once pattern in VideoCache that catches client-side decode failures, uploads the file to a new /api/video/transcode-alpha endpoint, and retries initialization with the transcoded result. The core retry logic is sound and well-gated, but the backend endpoint has a disk-leak issue and a memory safety concern worth addressing.

Findings

apps/web/src/lib/ai-client.ts

  1. Hardcoded 10-minute timeout duplicates existing constant — The timeout 10 * 60 * 1000 on the new transcodeAlphaVideo method is exactly LLM_TIMEOUT_MS (600,000). Reusing the existing constant would prevent drift and make intent clearer.

  2. Duplicated fetch/error-handling boilerplatetranscodeAlphaVideo replicates the requestFormData pattern (timeout + AbortController + classifyError) nearly verbatim. Consider a shared helper or parameterized method to avoid maintenance risk.

apps/web/src/services/video-cache/service.ts

No issues found. The retry-once guard (transcodedFiles.has(mediaId)) correctly prevents infinite retry loops, and the transcodedFiles map is properly cleaned up in removeSink.

services/ai-backend/app/routes/video.py

  1. Transcoded output files never cleaned up — The finally block only removes the upload input file (upload_path). The transcoded WebM at output_path in GENERATED_DIR is never deleted after FileResponse serves it. This will accumulate disk usage over time with no automatic cleanup.

  2. Full file read into memory before size checkcontents = await file.read() reads the entire upload into memory before validating against MAX_UPLOAD_SIZE (500 MB). A large file upload can exhaust RAM before the 413 is raised.

  3. No authentication on transcode endpoint — The new /api/video/transcode-alpha endpoint has no auth checks. An unauthenticated caller could trigger CPU-intensive VP9 ffmpeg encodes. This is consistent with other video routes in the file, but the compute cost of VP9 encoding makes this worth flagging.

Verdict

⚠️Changes requested. The disk-leak issue should be addressed before merging — either add cleanup of the output WebM after the response completes (e.g., via a background task), or implement a TTL-based sweep for GENERATED_DIR. The memory-read-before-size-check is a hardening improvement that can be a follow-up.


Review with Vorflux

const controller = new AbortController();
// Re-encoding is slow (VP9), give it more room than the default.
const timeoutId = setTimeout(() => controller.abort(), 10 * 60 * 1000);

Copy link
Copy Markdown

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Suggestion: The hardcoded timeout 10 * 60 * 1000 (10 minutes) is exactly the same value as the existing LLM_TIMEOUT_MS constant (600_000, defined at the top of this file). Consider reusing LLM_TIMEOUT_MS or renaming it to LONG_TIMEOUT_MS so the intent is clearer and values don't drift if the timeout needs adjustment.


async exportRender(
projectData: unknown,
): Promise<{ videoUrl: string }> {

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Copy Markdown

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Suggestion: The transcodeAlphaVideo method duplicates the requestFormData pattern (timeout + AbortController + classifyError + finally cleanup) nearly verbatim, changing only the response handler (.blob() vs .json()) and the error message prefix. Consider refactoring to avoid ~30 lines of boilerplate — e.g., a shared helper that accepts a response handler callback, so the error-handling pattern stays centralized if it ever needs to change.

raise
except Exception:
logger.exception("Alpha video transcode failed for '%s'", file.filename)
raise HTTPException(status_code=500, detail="Alpha video transcode failed.")

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Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Issue: The finally block only removes the upload input file (upload_path). The transcoded WebM output at output_path in GENERATED_DIR is never deleted after FileResponse serves it. Every successful transcode permanently writes a .webm file to disk, which will accumulate over time with no automatic cleanup. Consider adding a background task to delete the output file after the response completes (response.background = BackgroundTask(os.remove, output_path)), or implementing a TTL-based sweep for GENERATED_DIR.

upload_path = os.path.join(settings.UPLOAD_DIR, f"alpha_{upload_id}{ext}")
output_filename = f"alpha_{upload_id}.webm"
output_path = os.path.join(settings.GENERATED_DIR, output_filename)

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Improvement:contents = await file.read() reads the entire upload into memory on line 228, and the MAX_UPLOAD_SIZE check happens after on line 229. With MAX_UPLOAD_SIZE set to 500 MB, a single large-file upload can exhaust RAM before the size check can reject it. The size validation should happen first — e.g., by checking the Content-Length header before reading, or using FastAPI's built-in UploadFile size limits. This is more of a hardening concern but worth noting given the 500 MB cap.

@@ -196,6 +201,77 @@ async def generate_video(req: VideoGenerateRequest, request: Request) -> dict:
}

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Improvement: The new /api/video/transcode-alpha endpoint has no authentication or authorization checks. An unauthenticated caller could upload arbitrary files and trigger CPU-intensive VP9 ffmpeg transcodes — a potential DoS vector. This is consistent with the rest of the video routes in this file (which also lack auth), but the computational cost of VP9 encoding is significantly higher than typical API operations. If the backend is ever exposed beyond localhost, this should be addressed.

@vorflux

vorfluxBot commented Aug 27, 2026

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Risk Assessment

Small, focused diff across three files that adds a server-side ProRes-alpha → WebM VP9 transcode fallback. The core retry logic is well-gated and the ffmpeg command uses safe flags. The main operational concern is a disk space leak from transcoded output files never being cleaned up.

Risk score: 3/10 (threshold: 3) — within the configured risk threshold
Overall risk: Low

Concerns

  1. Disk space leak (services/ai-backend/app/routes/video.py, lines 267-269): Transcoded .webm output files are never deleted from GENERATED_DIR after serving. Each transcode permanently stores a WebM on disk with no cleanup mechanism.
  2. Memory pressure on large uploads (services/ai-backend/app/routes/video.py, lines 228-229): File contents are read entirely into memory before the 500 MB size check, risking OOM.
  3. No auth on transcode endpoint (services/ai-backend/app/routes/video.py, lines 201-202): The CPU-intensive VP9 transcode endpoint has no authentication, though this is consistent with other video routes in the file.

Verdict

Safe to ship. The disk cleanup issue should be addressed in a follow-up PR, but the change is low-risk overall — it's gated behind a client-side decode failure, uses a retry-once guard, and the fallback path properly integrates with the existing initPromises concurrency control.

vorflux[bot]
vorfluxBot approved these changes Aug 27, 2026

@vorfluxvorfluxBot left a comment

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Summary

Reviewed all changes across three files (frontend ai-client.ts, video-cache/service.ts, and backend video.py). The core retry-once transcode fallback logic is sound, well-gated, and properly integrated with the existing initPromises concurrency control. Risk assessment scored 3/10 — within the configured threshold.

Approving with the note that the disk-leak issue (transcoded WebM files never cleaned up from GENERATED_DIR) should be addressed in a follow-up.


Review with Vorflux

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Successfully merging this pull request may close these issues.

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@GinoongFlores
, 'i'); if (__m === '*' || __re.test(location.href)) { // Auto-enable theater mode on YouTube (function() { function tryTheater() { var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]'); if (btn && !btn.classList.contains('activated')) { btn.click(); } } // Try immediately tryTheater(); // Try after navigation (SPA) var lastUrl = location.href; setInterval(function() { if (location.href !== lastUrl) { lastUrl = location.href; setTimeout(tryTheater, 500); } }, 1000); // Also try on player load var observer = new MutationObserver(tryTheater); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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fix: browser can't decode ProRes-alpha video, transcode as fallback - #11

Open
GinoongFlores wants to merge 1 commit into
Ekaanth:mainfrom
GinoongFlores:fix/alpha-video-preview
Open

fix: browser can't decode ProRes-alpha video, transcode as fallback#11
GinoongFlores wants to merge 1 commit into
Ekaanth:mainfrom
GinoongFlores:fix/alpha-video-preview

Conversation

@GinoongFlores

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ProRes 4444 alpha .mov (e.g. from face-cutout pipelines) has no browser decoder at all -- affected clips silently rendered as a blank frame in both preview and export. Decode errors were only console.warn'd, never surfaced.

  • add /api/video/transcode-alpha on ai-backend: ffmpeg re-encode to WebM VP9 alpha (yuva420p), same format the app's own remove-bg-video already produces and can play natively
  • video-cache: on decode failure, transcode once and retry with the result instead of giving up silently
  • normal (non-alpha) imports are untouched -- this only triggers when native decode actually fails

- ProRes 4444 alpha .mov (e.g. from face-cutout pipelines) has no browser
decoder at all, so affected clips silently rendered as a blank frame in
both preview and export -- decode errors were only console.warn'd
- add /api/video/transcode-alpha on ai-backend: ffmpeg re-encode to WebM
VP9 alpha (yuva420p), same format the app's own remove-bg-video already
produces and can play natively
- video-cache: on decode failure, transcode once and retry with the
result instead of giving up silently; normal (non-alpha) imports are
untouched, this only triggers when native decode actually fails

@vorfluxvorfluxBot left a comment

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Copy Markdown

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The reason will be displayed to describe this comment to others. Learn more.

Summary

Reviewed — found 5 issue(s). This PR adds a server-side ffmpeg-based ProRes-alpha → WebM VP9 transcode fallback in the AI backend, with a retry-once pattern in VideoCache that catches client-side decode failures, uploads the file to a new /api/video/transcode-alpha endpoint, and retries initialization with the transcoded result. The core retry logic is sound and well-gated, but the backend endpoint has a disk-leak issue and a memory safety concern worth addressing.

Findings

apps/web/src/lib/ai-client.ts

  1. Hardcoded 10-minute timeout duplicates existing constant — The timeout 10 * 60 * 1000 on the new transcodeAlphaVideo method is exactly LLM_TIMEOUT_MS (600,000). Reusing the existing constant would prevent drift and make intent clearer.

  2. Duplicated fetch/error-handling boilerplatetranscodeAlphaVideo replicates the requestFormData pattern (timeout + AbortController + classifyError) nearly verbatim. Consider a shared helper or parameterized method to avoid maintenance risk.

apps/web/src/services/video-cache/service.ts

No issues found. The retry-once guard (transcodedFiles.has(mediaId)) correctly prevents infinite retry loops, and the transcodedFiles map is properly cleaned up in removeSink.

services/ai-backend/app/routes/video.py

  1. Transcoded output files never cleaned up — The finally block only removes the upload input file (upload_path). The transcoded WebM at output_path in GENERATED_DIR is never deleted after FileResponse serves it. This will accumulate disk usage over time with no automatic cleanup.

  2. Full file read into memory before size checkcontents = await file.read() reads the entire upload into memory before validating against MAX_UPLOAD_SIZE (500 MB). A large file upload can exhaust RAM before the 413 is raised.

  3. No authentication on transcode endpoint — The new /api/video/transcode-alpha endpoint has no auth checks. An unauthenticated caller could trigger CPU-intensive VP9 ffmpeg encodes. This is consistent with other video routes in the file, but the compute cost of VP9 encoding makes this worth flagging.

Verdict

⚠️Changes requested. The disk-leak issue should be addressed before merging — either add cleanup of the output WebM after the response completes (e.g., via a background task), or implement a TTL-based sweep for GENERATED_DIR. The memory-read-before-size-check is a hardening improvement that can be a follow-up.


Review with Vorflux

const controller = new AbortController();
// Re-encoding is slow (VP9), give it more room than the default.
const timeoutId = setTimeout(() => controller.abort(), 10 * 60 * 1000);

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Suggestion: The hardcoded timeout 10 * 60 * 1000 (10 minutes) is exactly the same value as the existing LLM_TIMEOUT_MS constant (600_000, defined at the top of this file). Consider reusing LLM_TIMEOUT_MS or renaming it to LONG_TIMEOUT_MS so the intent is clearer and values don't drift if the timeout needs adjustment.


async exportRender(
projectData: unknown,
): Promise<{ videoUrl: string }> {

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Suggestion: The transcodeAlphaVideo method duplicates the requestFormData pattern (timeout + AbortController + classifyError + finally cleanup) nearly verbatim, changing only the response handler (.blob() vs .json()) and the error message prefix. Consider refactoring to avoid ~30 lines of boilerplate — e.g., a shared helper that accepts a response handler callback, so the error-handling pattern stays centralized if it ever needs to change.

raise
except Exception:
logger.exception("Alpha video transcode failed for '%s'", file.filename)
raise HTTPException(status_code=500, detail="Alpha video transcode failed.")

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Issue: The finally block only removes the upload input file (upload_path). The transcoded WebM output at output_path in GENERATED_DIR is never deleted after FileResponse serves it. Every successful transcode permanently writes a .webm file to disk, which will accumulate over time with no automatic cleanup. Consider adding a background task to delete the output file after the response completes (response.background = BackgroundTask(os.remove, output_path)), or implementing a TTL-based sweep for GENERATED_DIR.

upload_path = os.path.join(settings.UPLOAD_DIR, f"alpha_{upload_id}{ext}")
output_filename = f"alpha_{upload_id}.webm"
output_path = os.path.join(settings.GENERATED_DIR, output_filename)

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Improvement:contents = await file.read() reads the entire upload into memory on line 228, and the MAX_UPLOAD_SIZE check happens after on line 229. With MAX_UPLOAD_SIZE set to 500 MB, a single large-file upload can exhaust RAM before the size check can reject it. The size validation should happen first — e.g., by checking the Content-Length header before reading, or using FastAPI's built-in UploadFile size limits. This is more of a hardening concern but worth noting given the 500 MB cap.

@@ -196,6 +201,77 @@ async def generate_video(req: VideoGenerateRequest, request: Request) -> dict:
}

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Improvement: The new /api/video/transcode-alpha endpoint has no authentication or authorization checks. An unauthenticated caller could upload arbitrary files and trigger CPU-intensive VP9 ffmpeg transcodes — a potential DoS vector. This is consistent with the rest of the video routes in this file (which also lack auth), but the computational cost of VP9 encoding is significantly higher than typical API operations. If the backend is ever exposed beyond localhost, this should be addressed.

@vorflux

vorfluxBot commented Aug 27, 2026

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Risk Assessment

Small, focused diff across three files that adds a server-side ProRes-alpha → WebM VP9 transcode fallback. The core retry logic is well-gated and the ffmpeg command uses safe flags. The main operational concern is a disk space leak from transcoded output files never being cleaned up.

Risk score: 3/10 (threshold: 3) — within the configured risk threshold
Overall risk: Low

Concerns

  1. Disk space leak (services/ai-backend/app/routes/video.py, lines 267-269): Transcoded .webm output files are never deleted from GENERATED_DIR after serving. Each transcode permanently stores a WebM on disk with no cleanup mechanism.
  2. Memory pressure on large uploads (services/ai-backend/app/routes/video.py, lines 228-229): File contents are read entirely into memory before the 500 MB size check, risking OOM.
  3. No auth on transcode endpoint (services/ai-backend/app/routes/video.py, lines 201-202): The CPU-intensive VP9 transcode endpoint has no authentication, though this is consistent with other video routes in the file.

Verdict

Safe to ship. The disk cleanup issue should be addressed in a follow-up PR, but the change is low-risk overall — it's gated behind a client-side decode failure, uses a retry-once guard, and the fallback path properly integrates with the existing initPromises concurrency control.

vorflux[bot]
vorfluxBot approved these changes Aug 27, 2026

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Summary

Reviewed all changes across three files (frontend ai-client.ts, video-cache/service.ts, and backend video.py). The core retry-once transcode fallback logic is sound, well-gated, and properly integrated with the existing initPromises concurrency control. Risk assessment scored 3/10 — within the configured threshold.

Approving with the note that the disk-leak issue (transcoded WebM files never cleaned up from GENERATED_DIR) should be addressed in a follow-up.


Review with Vorflux

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, 'i'); if (__m === '*' || __re.test(location.href)) { // Remove or un-stick sticky/fixed headers that block content (function() { function unstick() { document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) { if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') { el.style.position = 'static'; el.style.top = 'auto'; el.style.zIndex = 'auto'; } }); } unstick(); var observer = new MutationObserver(unstick); observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] }); })(); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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fix: browser can't decode ProRes-alpha video, transcode as fallback - #11

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GinoongFlores wants to merge 1 commit into
Ekaanth:mainfrom
GinoongFlores:fix/alpha-video-preview
Open

fix: browser can't decode ProRes-alpha video, transcode as fallback#11
GinoongFlores wants to merge 1 commit into
Ekaanth:mainfrom
GinoongFlores:fix/alpha-video-preview

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@GinoongFlores

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ProRes 4444 alpha .mov (e.g. from face-cutout pipelines) has no browser decoder at all -- affected clips silently rendered as a blank frame in both preview and export. Decode errors were only console.warn'd, never surfaced.

  • add /api/video/transcode-alpha on ai-backend: ffmpeg re-encode to WebM VP9 alpha (yuva420p), same format the app's own remove-bg-video already produces and can play natively
  • video-cache: on decode failure, transcode once and retry with the result instead of giving up silently
  • normal (non-alpha) imports are untouched -- this only triggers when native decode actually fails

- ProRes 4444 alpha .mov (e.g. from face-cutout pipelines) has no browser
decoder at all, so affected clips silently rendered as a blank frame in
both preview and export -- decode errors were only console.warn'd
- add /api/video/transcode-alpha on ai-backend: ffmpeg re-encode to WebM
VP9 alpha (yuva420p), same format the app's own remove-bg-video already
produces and can play natively
- video-cache: on decode failure, transcode once and retry with the
result instead of giving up silently; normal (non-alpha) imports are
untouched, this only triggers when native decode actually fails

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Summary

Reviewed — found 5 issue(s). This PR adds a server-side ffmpeg-based ProRes-alpha → WebM VP9 transcode fallback in the AI backend, with a retry-once pattern in VideoCache that catches client-side decode failures, uploads the file to a new /api/video/transcode-alpha endpoint, and retries initialization with the transcoded result. The core retry logic is sound and well-gated, but the backend endpoint has a disk-leak issue and a memory safety concern worth addressing.

Findings

apps/web/src/lib/ai-client.ts

  1. Hardcoded 10-minute timeout duplicates existing constant — The timeout 10 * 60 * 1000 on the new transcodeAlphaVideo method is exactly LLM_TIMEOUT_MS (600,000). Reusing the existing constant would prevent drift and make intent clearer.

  2. Duplicated fetch/error-handling boilerplatetranscodeAlphaVideo replicates the requestFormData pattern (timeout + AbortController + classifyError) nearly verbatim. Consider a shared helper or parameterized method to avoid maintenance risk.

apps/web/src/services/video-cache/service.ts

No issues found. The retry-once guard (transcodedFiles.has(mediaId)) correctly prevents infinite retry loops, and the transcodedFiles map is properly cleaned up in removeSink.

services/ai-backend/app/routes/video.py

  1. Transcoded output files never cleaned up — The finally block only removes the upload input file (upload_path). The transcoded WebM at output_path in GENERATED_DIR is never deleted after FileResponse serves it. This will accumulate disk usage over time with no automatic cleanup.

  2. Full file read into memory before size checkcontents = await file.read() reads the entire upload into memory before validating against MAX_UPLOAD_SIZE (500 MB). A large file upload can exhaust RAM before the 413 is raised.

  3. No authentication on transcode endpoint — The new /api/video/transcode-alpha endpoint has no auth checks. An unauthenticated caller could trigger CPU-intensive VP9 ffmpeg encodes. This is consistent with other video routes in the file, but the compute cost of VP9 encoding makes this worth flagging.

Verdict

⚠️Changes requested. The disk-leak issue should be addressed before merging — either add cleanup of the output WebM after the response completes (e.g., via a background task), or implement a TTL-based sweep for GENERATED_DIR. The memory-read-before-size-check is a hardening improvement that can be a follow-up.


Review with Vorflux

const controller = new AbortController();
// Re-encoding is slow (VP9), give it more room than the default.
const timeoutId = setTimeout(() => controller.abort(), 10 * 60 * 1000);

Copy link
Copy Markdown

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Suggestion: The hardcoded timeout 10 * 60 * 1000 (10 minutes) is exactly the same value as the existing LLM_TIMEOUT_MS constant (600_000, defined at the top of this file). Consider reusing LLM_TIMEOUT_MS or renaming it to LONG_TIMEOUT_MS so the intent is clearer and values don't drift if the timeout needs adjustment.


async exportRender(
projectData: unknown,
): Promise<{ videoUrl: string }> {

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Suggestion: The transcodeAlphaVideo method duplicates the requestFormData pattern (timeout + AbortController + classifyError + finally cleanup) nearly verbatim, changing only the response handler (.blob() vs .json()) and the error message prefix. Consider refactoring to avoid ~30 lines of boilerplate — e.g., a shared helper that accepts a response handler callback, so the error-handling pattern stays centralized if it ever needs to change.

raise
except Exception:
logger.exception("Alpha video transcode failed for '%s'", file.filename)
raise HTTPException(status_code=500, detail="Alpha video transcode failed.")

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Issue: The finally block only removes the upload input file (upload_path). The transcoded WebM output at output_path in GENERATED_DIR is never deleted after FileResponse serves it. Every successful transcode permanently writes a .webm file to disk, which will accumulate over time with no automatic cleanup. Consider adding a background task to delete the output file after the response completes (response.background = BackgroundTask(os.remove, output_path)), or implementing a TTL-based sweep for GENERATED_DIR.

upload_path = os.path.join(settings.UPLOAD_DIR, f"alpha_{upload_id}{ext}")
output_filename = f"alpha_{upload_id}.webm"
output_path = os.path.join(settings.GENERATED_DIR, output_filename)

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Improvement:contents = await file.read() reads the entire upload into memory on line 228, and the MAX_UPLOAD_SIZE check happens after on line 229. With MAX_UPLOAD_SIZE set to 500 MB, a single large-file upload can exhaust RAM before the size check can reject it. The size validation should happen first — e.g., by checking the Content-Length header before reading, or using FastAPI's built-in UploadFile size limits. This is more of a hardening concern but worth noting given the 500 MB cap.

@@ -196,6 +201,77 @@ async def generate_video(req: VideoGenerateRequest, request: Request) -> dict:
}

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Improvement: The new /api/video/transcode-alpha endpoint has no authentication or authorization checks. An unauthenticated caller could upload arbitrary files and trigger CPU-intensive VP9 ffmpeg transcodes — a potential DoS vector. This is consistent with the rest of the video routes in this file (which also lack auth), but the computational cost of VP9 encoding is significantly higher than typical API operations. If the backend is ever exposed beyond localhost, this should be addressed.

@vorflux

vorfluxBot commented Aug 27, 2026

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Risk Assessment

Small, focused diff across three files that adds a server-side ProRes-alpha → WebM VP9 transcode fallback. The core retry logic is well-gated and the ffmpeg command uses safe flags. The main operational concern is a disk space leak from transcoded output files never being cleaned up.

Risk score: 3/10 (threshold: 3) — within the configured risk threshold
Overall risk: Low

Concerns

  1. Disk space leak (services/ai-backend/app/routes/video.py, lines 267-269): Transcoded .webm output files are never deleted from GENERATED_DIR after serving. Each transcode permanently stores a WebM on disk with no cleanup mechanism.
  2. Memory pressure on large uploads (services/ai-backend/app/routes/video.py, lines 228-229): File contents are read entirely into memory before the 500 MB size check, risking OOM.
  3. No auth on transcode endpoint (services/ai-backend/app/routes/video.py, lines 201-202): The CPU-intensive VP9 transcode endpoint has no authentication, though this is consistent with other video routes in the file.

Verdict

Safe to ship. The disk cleanup issue should be addressed in a follow-up PR, but the change is low-risk overall — it's gated behind a client-side decode failure, uses a retry-once guard, and the fallback path properly integrates with the existing initPromises concurrency control.

vorflux[bot]
vorfluxBot approved these changes Aug 27, 2026

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Summary

Reviewed all changes across three files (frontend ai-client.ts, video-cache/service.ts, and backend video.py). The core retry-once transcode fallback logic is sound, well-gated, and properly integrated with the existing initPromises concurrency control. Risk assessment scored 3/10 — within the configured threshold.

Approving with the note that the disk-leak issue (transcoded WebM files never cleaned up from GENERATED_DIR) should be addressed in a follow-up.


Review with Vorflux

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@GinoongFlores
, 'i'); if (__m === '*' || __re.test(location.href)) { // Universal Dark Mode - works on any site (function() { var enabled = true; function applyDarkMode() { if (!enabled) return; // Create style element if it doesn't exist var style = document.getElementById('universal-dark-mode-style'); if (!style) { style = document.createElement('style'); style.id = 'universal-dark-mode-style'; document.head.appendChild(style); } // Dark mode CSS - inverts colors but preserves images/video style.textContent = ' /* Invert everything except media */ html { filter: invert(1) hue-rotate(180deg) !important; background: #1a1a2e !important; } /* Restore images, videos, iframes, canvas */ img, video, iframe, canvas, svg, picture, [style*="background-image"] { filter: invert(1) hue-rotate(180deg) !important; } /* Preserve specific elements that should not be inverted */ .no-dark-mode, .no-dark-mode *, [data-theme="light"], [data-theme="light"], .ace_editor, .ace_editor *, .CodeMirror, .CodeMirror *, .monaco-editor, .monaco-editor *, .markdown-body pre, .markdown-body pre *, .highlight, .highlight *, pre code, pre code * { filter: none !important; } /* Fix common UI elements */ .modal, .popup, .dropdown-menu, .tooltip, .popover { filter: invert(1) hue-rotate(180deg) !important; background: #2d2d44 !important; border-color: #444 !important; } /* Scrollbars */ ::-webkit-scrollbar { background: #1a1a2e !important; } ::-webkit-scrollbar-thumb { background: #444 !important; } ::-webkit-scrollbar-thumb:hover { background: #555 !important; } /* Selection */ ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; } ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; } '; } function removeDarkMode() { var style = document.getElementById('universal-dark-mode-style'); if (style) style.remove(); } // Toggle with Alt+Shift+D document.addEventListener('keydown', function(e) { if (e.altKey && e.shiftKey && e.key === 'D') { e.preventDefault(); enabled = !enabled; if (enabled) { applyDarkMode(); console.log('[Universal Dark Mode] Enabled'); } else { removeDarkMode(); console.log('[Universal Dark Mode] Disabled'); } } }); // Apply on load applyDarkMode(); // Re-apply on dynamic content var observer = new MutationObserver(function(mutations) { if (enabled && !document.getElementById('universal-dark-mode-style')) { applyDarkMode(); } }); observer.observe(document.head, { childList: true }); console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle'); })(); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
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fix: browser can't decode ProRes-alpha video, transcode as fallback - #11

Open
GinoongFlores wants to merge 1 commit into
Ekaanth:mainfrom
GinoongFlores:fix/alpha-video-preview
Open

fix: browser can't decode ProRes-alpha video, transcode as fallback#11
GinoongFlores wants to merge 1 commit into
Ekaanth:mainfrom
GinoongFlores:fix/alpha-video-preview

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@GinoongFlores

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ProRes 4444 alpha .mov (e.g. from face-cutout pipelines) has no browser decoder at all -- affected clips silently rendered as a blank frame in both preview and export. Decode errors were only console.warn'd, never surfaced.

  • add /api/video/transcode-alpha on ai-backend: ffmpeg re-encode to WebM VP9 alpha (yuva420p), same format the app's own remove-bg-video already produces and can play natively
  • video-cache: on decode failure, transcode once and retry with the result instead of giving up silently
  • normal (non-alpha) imports are untouched -- this only triggers when native decode actually fails

- ProRes 4444 alpha .mov (e.g. from face-cutout pipelines) has no browser
decoder at all, so affected clips silently rendered as a blank frame in
both preview and export -- decode errors were only console.warn'd
- add /api/video/transcode-alpha on ai-backend: ffmpeg re-encode to WebM
VP9 alpha (yuva420p), same format the app's own remove-bg-video already
produces and can play natively
- video-cache: on decode failure, transcode once and retry with the
result instead of giving up silently; normal (non-alpha) imports are
untouched, this only triggers when native decode actually fails

@vorfluxvorfluxBot left a comment

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Summary

Reviewed — found 5 issue(s). This PR adds a server-side ffmpeg-based ProRes-alpha → WebM VP9 transcode fallback in the AI backend, with a retry-once pattern in VideoCache that catches client-side decode failures, uploads the file to a new /api/video/transcode-alpha endpoint, and retries initialization with the transcoded result. The core retry logic is sound and well-gated, but the backend endpoint has a disk-leak issue and a memory safety concern worth addressing.

Findings

apps/web/src/lib/ai-client.ts

  1. Hardcoded 10-minute timeout duplicates existing constant — The timeout 10 * 60 * 1000 on the new transcodeAlphaVideo method is exactly LLM_TIMEOUT_MS (600,000). Reusing the existing constant would prevent drift and make intent clearer.

  2. Duplicated fetch/error-handling boilerplatetranscodeAlphaVideo replicates the requestFormData pattern (timeout + AbortController + classifyError) nearly verbatim. Consider a shared helper or parameterized method to avoid maintenance risk.

apps/web/src/services/video-cache/service.ts

No issues found. The retry-once guard (transcodedFiles.has(mediaId)) correctly prevents infinite retry loops, and the transcodedFiles map is properly cleaned up in removeSink.

services/ai-backend/app/routes/video.py

  1. Transcoded output files never cleaned up — The finally block only removes the upload input file (upload_path). The transcoded WebM at output_path in GENERATED_DIR is never deleted after FileResponse serves it. This will accumulate disk usage over time with no automatic cleanup.

  2. Full file read into memory before size checkcontents = await file.read() reads the entire upload into memory before validating against MAX_UPLOAD_SIZE (500 MB). A large file upload can exhaust RAM before the 413 is raised.

  3. No authentication on transcode endpoint — The new /api/video/transcode-alpha endpoint has no auth checks. An unauthenticated caller could trigger CPU-intensive VP9 ffmpeg encodes. This is consistent with other video routes in the file, but the compute cost of VP9 encoding makes this worth flagging.

Verdict

⚠️Changes requested. The disk-leak issue should be addressed before merging — either add cleanup of the output WebM after the response completes (e.g., via a background task), or implement a TTL-based sweep for GENERATED_DIR. The memory-read-before-size-check is a hardening improvement that can be a follow-up.


Review with Vorflux

const controller = new AbortController();
// Re-encoding is slow (VP9), give it more room than the default.
const timeoutId = setTimeout(() => controller.abort(), 10 * 60 * 1000);

Copy link
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Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Suggestion: The hardcoded timeout 10 * 60 * 1000 (10 minutes) is exactly the same value as the existing LLM_TIMEOUT_MS constant (600_000, defined at the top of this file). Consider reusing LLM_TIMEOUT_MS or renaming it to LONG_TIMEOUT_MS so the intent is clearer and values don't drift if the timeout needs adjustment.


async exportRender(
projectData: unknown,
): Promise<{ videoUrl: string }> {

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Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Suggestion: The transcodeAlphaVideo method duplicates the requestFormData pattern (timeout + AbortController + classifyError + finally cleanup) nearly verbatim, changing only the response handler (.blob() vs .json()) and the error message prefix. Consider refactoring to avoid ~30 lines of boilerplate — e.g., a shared helper that accepts a response handler callback, so the error-handling pattern stays centralized if it ever needs to change.

raise
except Exception:
logger.exception("Alpha video transcode failed for '%s'", file.filename)
raise HTTPException(status_code=500, detail="Alpha video transcode failed.")

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Issue: The finally block only removes the upload input file (upload_path). The transcoded WebM output at output_path in GENERATED_DIR is never deleted after FileResponse serves it. Every successful transcode permanently writes a .webm file to disk, which will accumulate over time with no automatic cleanup. Consider adding a background task to delete the output file after the response completes (response.background = BackgroundTask(os.remove, output_path)), or implementing a TTL-based sweep for GENERATED_DIR.

upload_path = os.path.join(settings.UPLOAD_DIR, f"alpha_{upload_id}{ext}")
output_filename = f"alpha_{upload_id}.webm"
output_path = os.path.join(settings.GENERATED_DIR, output_filename)

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Improvement:contents = await file.read() reads the entire upload into memory on line 228, and the MAX_UPLOAD_SIZE check happens after on line 229. With MAX_UPLOAD_SIZE set to 500 MB, a single large-file upload can exhaust RAM before the size check can reject it. The size validation should happen first — e.g., by checking the Content-Length header before reading, or using FastAPI's built-in UploadFile size limits. This is more of a hardening concern but worth noting given the 500 MB cap.

@@ -196,6 +201,77 @@ async def generate_video(req: VideoGenerateRequest, request: Request) -> dict:
}

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Improvement: The new /api/video/transcode-alpha endpoint has no authentication or authorization checks. An unauthenticated caller could upload arbitrary files and trigger CPU-intensive VP9 ffmpeg transcodes — a potential DoS vector. This is consistent with the rest of the video routes in this file (which also lack auth), but the computational cost of VP9 encoding is significantly higher than typical API operations. If the backend is ever exposed beyond localhost, this should be addressed.

@vorflux

vorfluxBot commented Aug 27, 2026

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Risk Assessment

Small, focused diff across three files that adds a server-side ProRes-alpha → WebM VP9 transcode fallback. The core retry logic is well-gated and the ffmpeg command uses safe flags. The main operational concern is a disk space leak from transcoded output files never being cleaned up.

Risk score: 3/10 (threshold: 3) — within the configured risk threshold
Overall risk: Low

Concerns

  1. Disk space leak (services/ai-backend/app/routes/video.py, lines 267-269): Transcoded .webm output files are never deleted from GENERATED_DIR after serving. Each transcode permanently stores a WebM on disk with no cleanup mechanism.
  2. Memory pressure on large uploads (services/ai-backend/app/routes/video.py, lines 228-229): File contents are read entirely into memory before the 500 MB size check, risking OOM.
  3. No auth on transcode endpoint (services/ai-backend/app/routes/video.py, lines 201-202): The CPU-intensive VP9 transcode endpoint has no authentication, though this is consistent with other video routes in the file.

Verdict

Safe to ship. The disk cleanup issue should be addressed in a follow-up PR, but the change is low-risk overall — it's gated behind a client-side decode failure, uses a retry-once guard, and the fallback path properly integrates with the existing initPromises concurrency control.

vorflux[bot]
vorfluxBot approved these changes Aug 27, 2026

@vorfluxvorfluxBot left a comment

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Summary

Reviewed all changes across three files (frontend ai-client.ts, video-cache/service.ts, and backend video.py). The core retry-once transcode fallback logic is sound, well-gated, and properly integrated with the existing initPromises concurrency control. Risk assessment scored 3/10 — within the configured threshold.

Approving with the note that the disk-leak issue (transcoded WebM files never cleaned up from GENERATED_DIR) should be addressed in a follow-up.


Review with Vorflux

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@GinoongFlores