Show HN: Reticle – Postman for AI Agents(github.com)
github.com
Show HN: Reticle – Postman for AI Agents
https://github.com/fwdai/reticle
2 comments
Happy to answer any questions.
Here’s a quick demo of the agent execution view:
https://raw.githubusercontent.com/fwdai/reticle/main/.github...
Here’s a quick demo of the agent execution view:
https://raw.githubusercontent.com/fwdai/reticle/main/.github...
Looks like your dmg is not signed with certificate. Getting a warning about untrusted developer.
Yeah, I haven't enrolled into apple developer program yet. Will notarize installers once i get those certificates
The workflow usually ends up being: write some code, run it, tweak a prompt, add logs just to understand what actually happened. It works in some cases, breaks in others, and it’s hard to see why. You also want to know that changing a prompt or model didn’t quietly break everything.
Reticle puts the whole loop in one place.
You define a scenario (prompt + variables + tools), run it against different models, and see exactly what happened - prompts, responses, tool calls, results. You can then run evals against a dataset to see whether a change to the prompt or model breaks anything.
There’s also a step-by-step view for agent runs so you can see why it made a decision. Everything runs locally. Prompts, API keys, and run history stay on your machine (SQLite).
Stack: Tauri + React + SQLite + Axum + Deno.
Still early and definitely rough around the edges. Is this roughly how people are debugging LLM workflows today, or do you do it differently?