Stop vibe-debugging. Every exception, every backtrace, grouped so you see patterns, not noise. Learn more →
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vllora discussion
vllora reviews and mentions
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Show HN: Ask your LLM traces what went wrong (vLLora)
Hi HN,
We built Lucy, a trace-debugging tool inside vLLora (our open-source LLM observability stack).
The problem: Debugging AI agents is painful. A single failure often hides inside a trace with 200+ spans—tool calls, retries, partial outputs, and silent failures. Even with tracing, finding the actual root cause (e.g. a tool schema mismatch or a contradictory system prompt) usually means manually scanning logs for 20+ minutes.
What Lucy does: Lucy lets you query your traces using natural language. You can ask things like “Why did this agent loop?” or “Which step was slow?” and it inspects the span tree to surface likely causes. For example, it can flag:
- Tool schema mismatches (e.g. hallucinated or invalid arguments)
- Prompt contradictions (e.g. system instruction conflicts with user intent)
- Silent failures (e.g. context truncation or max-token exits)
It’s early and still in beta.
We’d love to hear how you’re debugging agent failures today—logs, replay, evals, custom scripts, or something else.
Link to Repo: https://github.com/vllora/vllora
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Debug Mode for LLMs in vLLora
Until https://github.com/vllora/vllora/tree/v0.1.6 it was Apache licensed. Then Elastic Search 2. Nah.
IMHO the "don't remove anything with a licensekey ever" part in the license is the kind of potential poison that I would never recommend this to my or any other company. More than a few fellow engineers consider nagware an insult and see the potential to twist your arm late in the game making former free functions part of a new "optimized pay package", which you need because you can't fix the bug in the goddamn license part that is a security risk. LOL.
And there is no moat, debugging AI flows is a few prompts and a claude code max, google gemini pro or codex whatever for a couple of days while doing the usual things will happen.
One more comment: Its not about this software specific. I learned that the cuts and bruises of incidents before you come along are the ones that shape behaviour of your partners/colleagues/peers. You may have the purest intentions and best approaches, but someone longe before you ruined it. Its not you, its you chosing the same path.
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How Deep Agents Actually Work: A Browsr Architecture Walkthrough
Tools like vLLora make this practical by exposing request-level traces and timelines, allowing you to see what a deep agent is actually doing across an entire run — not just the final output.
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Building AI-Powered Image Generation with OpenAI-Compatible Responses API
Source Code: The complete example is available on GitHub.
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A note from our sponsor - AppSignal
www.appsignal.com | 9 Aug 2026
Stats
vllora/vllora is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.
The primary programming language of vllora is Rust.