Traceback why
your AI failed.
Find the exact prompt, retrieved doc, or tool that broke your output. No code changes.
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.
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.
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.
We support all major AI platforms
Integrate with your existing AI infrastructure seamlessly
Start Using Tropir Instantly
Get Tropir running via proxy routing in just a few steps
Install and Configure
Install Tropir (pip install tropir) and update your API endpoint to route calls through the Tropir proxy.
Set Up Authentication
Create a Tropir account to get your API key and ensure your provider API keys are available as environment variables.
Use Header Utility (Optional)
Optionally utilize `prepare_request_headers` from `tropir.session_utils` to simplify adding Tropir headers.
import os
"Content-Type": "application/json",
"Authorization": f"Bearer {os.environ.get('OPENAI_API_KEY')}"
}
"model": "gpt-4o",
"messages": [{"role": "user", "content": "Hello"}]
}
Ready to get started?
Begin your LLM tracing journey today or talk to our experts about optimizing your pipelines.
