The AI that builds better AIs
➡️ Meet Tropir
Modern AI pipelines fail constantly—hallucinations, bad retrievals, broken tool calls.
Tropir fixes that.
It traces exactly where things went wrong, suggests a targeted fix, reruns the pipeline, and tells you if the fix worked. All automatically.
🔁 Trace → Fix → Rerun → Evaluate → Repeat
Most observability tools stop at logs. Tropir doesn’t just show you what broke—it tells you why, applies a fix, reruns the whole pipeline, and checks if the problem’s actually solved.
You can say: “Figure out why the @last_log wasn’t grounded in retrieved context. Use @faithfulness_eval.” Or just: “This output sucks. Use the full eval set to fix it.”
Tropir handles the rest.
🧠 Why Tropir is Different
- Traceback Engine — Finds the root cause across prompts, retrievals, tools, and context.
- Fix + Rerun — Smart patches injected on the fly. No code rewrites.
- Built-in Evals — Relevance, grounding, structure—all tested automatically. Add your own evals if you like!
- Conversational Interface — It’s like interrogating your agent after runtime.
- Plug & Play — Two lines of code to setup Tropir and you’re done.
🔥 Try Tropir
Teams building RAG workflows, support bots, and research agents are shipping AI 60x faster with Tropir.
→ Book a demo to get early access!
→ Visit tropir.com and sign up!