# Debugging The Debugging feature in the indigo.ai platform gives you **full visibility into how a message is generated**, making it easier than ever to **investigate issues**, **understand your flows**, and **optimize your assistant’s performance**. Whether you're **troubleshooting** an error, checking variable behavior, or **analyzing API calls**, Debugging provides a complete and accessible **toolkit right inside the platform**. {% embed url="" %} ## What It Does The Debugging system offers a step-by-step reconstruction of what happens behind the scenes in each conversation. You can inspect: * The full logic path through **agents and workflows** * The **triggers**, **reroutes**, and **blocks** involved * Detailed views of **variables**, **prompt blocks**, and **API calls** * All components that contributed to the generation of a single message. ## Where to Access It You can open the Debugging panel in two ways: * From the **Chat section**: Under each assistant message, click on **"Details"** * From the **Preview chat widget**: Debugging is integrated directly below each generated message ## The Debugging View Once opened, you'll see a vertical timeline of the conversational flow, broken down into distinct sections: * **Agents & Workflows Timeline**: See how the flow moved across agents and workflows. * **Variables Panel**: Track all variable values and how they changed. * **Prompt Blocks**: Inspect the input, output, and model details. * **API Calls**: Analyze every call made during the conversation. Each of these sections is organized to surface only what’s relevant for debugging, so you can focus on what matters. ## Key Debugging Elements #### Agents & Workflows At the top of the timeline, you’ll see how the flow moved between workflows and agents. You can follow every step, from the initial **trigger** to any **reroute**, **invocation**, or **handoff**, helping you understand the full conversation path. #### Variables Get a complete history of all variables involved in the flow: * Listed in **temporal order**, showing when they were first used * Displayed with their **value history**, showing every change * Shows which block **influenced** each variable’s value * For Prompt Blocks, it highlights if a variable was: * Used as **input** * Modified as **output** #### Prompts For every Prompt Block executed, you’ll see: * Full **prompt content**, split into **input** and **output** * Any **interpolated variables** with their values * The **model** used for the generation * **Response time** in milliseconds This lets you understand exactly what the model saw and what it returned. #### API Calls Each API call is displayed with: * Complete **logs** of headers and body * Variable values used during the call * **Response time** for the call execution This is crucial when troubleshooting integrations with external systems. #### Agent Blocks Agent Blocks are treated like Prompt Blocks. You’ll see: * The **prompt input and output** * The **model** used for that agent Since the Agent block operates like a Prompt Block, this section focuses on understanding how your AI Agent responded and what it based its answer on. #### Response Time Breakdown The Debug panel in the Bot Builder now displays a detailed breakdown of response times. Next to the total end-to-end processing time (for example 1348 ms), hovering over the value shows a tooltip with the execution time of each processing step, grouped by the agent involved in generating the response. This allows bot builders to quickly identify where latency occurs — whether in prompt processing (prompt assembly and LLM generation), external API calls, or Knowledge Base retrieval.
## Problem Solving Made Easy Debugging is designed to help you troubleshoot autonomously. Whether you're fixing a broken workflow or fine-tuning performance, you can: * Trace exactly **where and why** something went wrong * Pinpoint issues with **variable logic**, **prompts**, or **API responses** * Monitor execution speed for performance optimization.