Tropir is an advanced AI-focused debugging and optimization platform for developers building LLM‑based pipelines. It offers full‑pipeline traceability and automated root‑cause analysis, helping locate failures at the exact step and iteratively applies targeted fixes to improve outputs.
Use Cases
LLM Pipeline Debugging
Trace failures in AI workflows—such as prompt errors, tool bugs, or retrieval issues—to identify the precise fault point.
Root-Cause Analysis
Detect logical bottlenecks and fragility in multi-stage or agentic pipelines.
Automated Fixes
Apply targeted modifications to prompts, tools, or retrievals, and rerun pipelines to validate improvements.
Performance Monitoring
Track behavior analytics and performance metrics across real-world AI workflows.
Evaluation Workflow
Automatically evaluate and compare outcomes before and after fixes to gauge pipeline reliability.
Features & Benefits
Full Pipeline Traceability
Visualize data flow through each prompt, tool, and model call to understand pipeline behavior.
Failure Forensics
Pinpoint the exact step responsible for breaking output, not just the symptom.
Bottleneck Detection
Identify slow or fragile components before they cause production issues.
Smart Patch & Re-run
Apply upstream changes and automatically rerun with evaluative comparisons.
Integrates with Major Platforms
Supports OpenAI, Anthropic, Gemini, Bedrock, OpenRouter, Hugging Face, Grok, and more.
