# OpenTrace: Turn noisy logs into your next best move

> Source: <https://dev.to/samaina_khatun_a9b9d1c92f/-opentrace-turn-noisy-logs-into-your-next-best-move-4ffb>
> Published: 2026-10-30 17:05:24+00:00

OpenTrace is a local-first debugging assistant for developers. A user pastes

an error, stack trace, or service log and receives a structured report with a

summary, severity, evidence, likely cause, safe next actions, and questions

that would improve the diagnosis.

**Live demo:** [https://opentrace-ai-debugger.onrender.com](https://opentrace-ai-debugger.onrender.com)

**Source code:** [https://github.com/samainakhatun115-cpu/opentrace-ai-debugger](https://github.com/samainakhatun115-cpu/opentrace-ai-debugger)

Logs are often technically detailed but operationally unclear. The final error

message may hide the first useful signal, and a generic chatbot can present a

guess as a fact. OpenTrace makes the distinction visible: evidence is shown

separately from hypotheses, and every response includes safe next steps rather

than destructive commands.

When Ollama is available, OpenTrace sends the pasted log to a local

Ollama-compatible open-source model and requests a strict JSON report. The

server does not store logs or request history. The model name and endpoint are

configurable through environment variables.

If Ollama is unavailable, OpenTrace uses a deliberately limited heuristic

fallback and labels the result **Demo Mode**. It never presents the fallback

as model output.

``` php
flowchart LR
  A[Browser] --> B[Node HTTP server]
  B --> C{Ollama available?}
  C -->|yes| D[Open-source local model]
  C -->|no| E[Clearly labelled demo heuristic]
  D --> F[Structured JSON report]
  E --> F
  F --> A
```

The most important product decision was not to make the assistant execute

commands. A debugging helper should help a developer decide what to inspect

next, while the developer remains responsible for validating production changes.

Making evidence and limitations visible is more useful than producing a

confident-looking answer.

```
cd OpenTrace
node server.js
```

Open [http://localhost:3000](http://localhost:3000). For model-backed analysis, install Ollama and run:

```
ollama pull llama3.2:3b
```

Built as a new project for the Hacktoberfest Open-Source AI Challenge: Week 4.

AI assistance was used during development and drafting.