Traceback why
your AI failed.

Find the exact prompt, retrieved doc, or tool that broke your output. No code changes.

Start tracing Book a demo

Full Pipeline Trace

See how data moves through prompts, tools, and models.

Failure Forensics

Trace any broken output to the exact step that caused it.

Behavior Analytics

Understand how your LLM responds across real-world use cases.

Bottleneck Detection

Spot slow or fragile pipeline steps before they become failures.

Root-Cause Visibility

Go beyond logs — see exactly what broke

Unlike generic observability platforms, Tropir doesn’t just show inputs and outputs. We map the exact flow of text across your LLM stack to reveal the prompt, tool, or doc that caused a failure — no code changes required.

Token Limit Error

Processing

Response

Pattern Recognition

Detect failure patterns before they repeat

Tropir finds recurring failure points across thousands of logs — like prompt drift, broken formats, or unreliable retrieval — and flags them early. You don’t just observe issues, you prevent them.

87%

92%

78%

64%

91%

82%

Text-Level Traceability

Follow every sentence through your LLM chain

Tropir shows you how text flows through chained LLM calls — even when outputs from one model become inputs to another. It’s not just logging — it’s true traceability across roles, providers, and generations.

“Genuinely a super valuable product for our team. If you spend a heap of time digging through AI-flow logs, being able to find answers across the entire execution is a huge time saver.”

Joel Ritossa, Co-founder of Duckie (YC W24)