Show HN: AgentTrace–Observability and runtime self-healing engine for AI agents
AgentTrace is a new observability and self-healing engine designed for autonomous AI agent pipelines. It monitors multi-step tool calls and visualizes latency bottlenecks to improve system reliability. The tool automatically repairs malformed LLM tool arguments at runtime to prevent workflow crashes.
- ▪AgentTrace addresses common LLM errors such as hallucinated tool arguments, incorrect data types, and omitted schema fields.
- ▪The system uses a Python and Pydantic-based decorator SDK to validate schemas before tool execution.
- ▪A self-healing layer utilizes Groq for fast inference to repair payloads when failures occur.
- ▪The backend is built with FastAPI and SQLite, while the live dashboard uses Next.js and Tailwind CSS.
- ▪The project provides an interactive web dashboard and FastAPI Swagger documentation for developers.
Hacker News (AI / LLM) files mainly under ai. We currently carry 5,759 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | GitHub |
| Canonical URL | https://github.com/mohitkumar188/AgentTrace |
| Publication time | Sun, 20 Sep 2026 21:24:17 +0000 |
| Retrieval time | 2026-09-20T21:28:47.439Z |
| Last seen | 2026-09-20T21:28:47.439Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | z-3aFlkiqcYB · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
⚡ AgentTrace: Production-Grade Agent Observability & Self-Healing Engine Live Production Demo: 🖥️ Interactive Web Dashboard: https://agent-trace-zeta.vercel.app/ ⚙️ FastAPI Swagger Docs: https://agenttrace-api-cdav.onrender.com/docs An end-to-end observability SDK and dashboard for autonomous AI agent pipelines. It monitors multi-step tool calls, visualizes latency bottlenecks, and automatically repairs malformed LLM tool arguments at runtime without crashing workflows. 🎯 The Problem LLMs frequently hallucinate tool arguments during multi-step runs: Passing strings instead of floats (e.g. "1200 INR" instead of 1200.0) Inventing key names (e.g. "user_identifier" instead of "user_id") Omitting required schema fields Normally, these cause immediate runtime crashes.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.