6.1.0 — Release Notes
Changelog for Agnes Video Generator: new features, improvements and bug fixes for every release.
What's New
Retry-First Guidance on Task Failure
- The failed-task panel now gives you a clear action path instead of a dead-end error line:
- Retry Task button — resumes the task from the failed step via the existing checkpoint resume (no new backend endpoint, no full resubmit).
- Retry count tracking — retries are counted per task and persist across refreshes; the count resets when the task succeeds.
- Transient-failure copy — the panel explains that most failures come from temporary rate limiting / network timeouts / model-service fluctuation and are worth retrying before reporting.
One-Click Issue Feedback with Progressive Expansion
- When retries don't help, the feedback area helps you report efficiently:
- Progressive expansion — the feedback area stays a low-key hint line under the retry guidance; after 2 failed retries it auto-expands, switching the copy to "still failing after N retries, please report with diagnostic info." You can open it manually at any time (your choice is remembered per task).
- Deterministic-failure pre-screen — parameter/content errors (HTTP 400, content policy, invalid API key) are detected from the error text, skip the retry guidance, and expand the feedback area directly with a "retrying may not help" hint and a de-emphasized retry button.
- Diagnostic info preview — a collapsible structured report: app version, task type, mode, failed step, error message, retry count, and key generation configs (no prompt text included).
- Copy diagnostic info — one click copies the full report for pasting anywhere.
- Check the FAQ first — a direct link to the official FAQ page for self-service troubleshooting.
- Open a GitHub Issue — jumps to the project issue tracker with title and body pre-filled from the diagnostic report (long bodies are safely truncated); a bug-report issue template is available in the repo.
Diagnostics Endpoint (Phase 2)
- `GET /api/tasks/{id}/diagnostics` — returns a task summary plus the model-call error details associated with that task (exact task match first, time-window fallback), sourced from the existing
error_logs/collector. - Task-linked error collection — model errors are now written with their
task_id, so a failure can be traced back to the exact API calls that caused it. - Privacy by design — the endpoint never returns prompt text, response bodies, or system prompts; error messages are truncated. The feedback report is fully client-side and nothing is uploaded automatically.
Other Features & Improvements
- App version in diagnostics —
APP_VERSIONis now exposed viaGET /api/config, so every report carries the exact version that failed (kept in sync by the release process). - Official FAQ updated — new entries explain what to do when generation fails (retry first, then report with diagnostic info) and how to get help / report issues; synced across the official site and wiki.
About Agnes Video Generator
A completely free, open-source AI video generator: turn text into multi-scene AI videos with narration and subtitles.
- Free and open source — no payment, no high-end GPU required
- Text-to-video, image-to-video, digital anchor and image generation
- Powered by free Agnes AI models, rendered entirely in the cloud
- Runs via Web UI, Docker or npm, and supports self-hosting
Related Pages
Release Notes
Changelog for Agnes Video Generator: new features, improvements and bug fixes for every release.
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Why you can trust this
Written by a practicing developer and cross-checked against authoritative primary sources such as arXiv papers, vendor technical reports, and the Stanford AI Index.
SandGrid@lcy362
Author of Agnes Video Generator · Full-stack Developer
Independent developer and author of Agnes Video Generator, an open-source (MIT) AI video generation tool built on Agnes AI's free video models. Has helped 1,000+ creators produce AI videos at zero cost. Focused on making video generation models accessible and production-ready; content is based on hands-on practice and primary research.
View on GitHubLast updated：2026-08-21
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