Modern AI pipelines break in unpredictable ways—hallucinations, irrelevant retrievals, failed tool calls—and traditional observability tools just show you logs. Tropir goes several steps further.

Tropir is the first autonomous LLM-Ops engineer that not only detects pipeline failures but fixes them automatically. It traces the root cause across prompts, tools, and context, suggests targeted fixes, reruns the pipeline, and evaluates the results—no manual debugging or code rewrites required.

Use natural language to troubleshoot: “Why wasn’t this grounded in context?” or “Fix this output using the eval set.” Tropir takes over from there with smart, self-healing logic.

Key features:

• Traceback Engine: Pinpoints exactly where things went wrong—whether it's a prompt, retrieval, tool call, or hallucination.
• Automatic Fix + Rerun: Injects dynamic patches and reruns your pipeline to verify success.
• Built-in Evaluations: Includes grounding, relevance, structure, and lets you plug in your own evals.
• Conversational Interface: Debug and improve your AI through a chat-like experience.
• Plug & Play: Add Tropir to your stack in just two lines of code.

If you’re building with LLMs, Tropir keeps your pipelines reliable, explainable, and production-ready—without the ops overhead.