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DebugAI: Diagnose failed LLM outputs
Debug failed LLM calls with root-cause diagnoses
DebugAI is a Python SDK and web workbench for debugging and fixing failed LLM outputs. Wrap your LLM client or paste a bad response to get the failure type, severity, evidence, root cause, pipeline stage, and a suggested fix you can ship. It helps teams repair prompts, RAG systems, tool calls, and AI workflows faster.
Hi Product Hunt,
I’m launching DebugAI today because debugging failed LLM outputs is still too much guesswork.
DebugAI is a Python SDK and web workbench that helps you diagnose and fix bad AI responses. Wrap your LLM client or paste a failed output, and it returns the failure type, severity, evidence, root cause, pipeline stage, and a suggested fix you can ship.
It’s built for teams working on prompts, RAG systems, tool calls, and production AI workflows.
I’d love feedback from builders shipping LLM apps:
What’s the hardest AI failure for you to debug right now?
About DebugAI: Diagnose failed LLM outputs on Product Hunt
“Debug failed LLM calls with root-cause diagnoses”
DebugAI: Diagnose failed LLM outputs was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #152 on the daily leaderboard. DebugAI is a Python SDK and web workbench for debugging and fixing failed LLM outputs. Wrap your LLM client or paste a bad response to get the failure type, severity, evidence, root cause, pipeline stage, and a suggested fix you can ship. It helps teams repair prompts, RAG systems, tool calls, and AI workflows faster.
On the analytics side, DebugAI: Diagnose failed LLM outputs competes within Developer Tools, Artificial Intelligence and SDK — topics that collectively have 989.3k followers on Product Hunt. The dashboard above tracks how DebugAI: Diagnose failed LLM outputs performed against the three products that launched closest to it on the same day.
Who hunted DebugAI: Diagnose failed LLM outputs?
DebugAI: Diagnose failed LLM outputs was hunted by New User. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of DebugAI: Diagnose failed LLM outputs including community comment highlights and product details, visit the product overview.
New User