vLLora

Lucy is a built-in assistant that reads your traces, diagnoses agent failures, and suggests concrete fixes in seconds.

Your agent returns the right answer. The status is 200 OK, and the user walks away satisfied. On the surface, everything looks fine. But when you check the API bill, it doesn't line up with how simple the task actually was. LLMs are unusually resilient. W

Inspect traces and debug AI agents directly from your IDE using MCP tools.

A post-mortem where an agent faithfully executed outdated map coordinates despite correct prompts. The fix required synchronizing frontend viewport state, not better prompt engineering.

Learn how to build an AI-powered application that combines web search and image generation using the Responses API with Vllora LLM client in Rust.

Debug LLM agents with vLLora's Debug Mode. Pause requests, view full prompts and parameters, edit them, and resume long workflows without code changes.

Over the last year, agents have grown from one-shot prompt wrappers into systems that can work a problem for minutes or hours-researching, trying ideas, fixing mistakes, and resuming where they left off. Tools like Claude Code, Deep Research, Manus AI, an

Debug your voice agents built with LiveKit Agents using vLLora. See every model call, tool call, and response in real time.

Developers building coding agents need visiblity into how context is flowing through the agent, how much context is used, what tools are being called. vLLora enables you to debug all of this in real time. Setup Run and configure vLLora locally. Follow the

The OpenAI Agents SDK makes it easy to build agents with handoffs, streaming, and function calling. The hard part? Seeing what's actually happening when things don't work as expected. Setup vLLora First, install vLLora using Homebrew: brew tap vllora/vllo