TraceRoot.AI

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TraceRoot.AI is a Coding & Development tool that provides open-source observability and a self-healing layer for AI agents. It captures traces, debugs with AI, and automates fix PRs.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is TraceRoot.AI?

TraceRoot.AI offers an open-source observability and self-healing layer specifically designed for AI agents. It allows developers to instrument their code to gain full visibility into every LLM call, tool invocation, and agent decision. The platform leverages an integrated AI agent to analyze traces, debug failures, and automatically create fix pull requests. This capability helps in identifying root causes of issues and streamlining the debugging process for AI-powered applications. Backed by Y Combinator, TraceRoot aims to enhance the reliability and maintainability of AI agents by providing automated debugging and remediation.

Best used for

Ideal for developers who need to gain deep visibility into their AI agents, automatically debug failures, and streamline the process of applying fixes. Especially valuable for maintaining the reliability and performance of complex AI-powered applications by automating root cause analysis and code remediation.

Common actions

debug AI agents

monitor AI agents

automate code fixes

trace LLM calls

Capabilities

Key features

Open-source observability
Self-healing AI agents
Automated fix PRs
LLM call tracing
Tool invocation tracking
AI agent root cause analysis

Target Audience

developer

Integrations

githubdiscord

Pricing & Plans

Open Source

Not publicly disclosed. Check traceroot.ai for current pricing.

FAQs

Is TraceRoot.AI an open-source project?

Yes, TraceRoot.AI is an open-source observability and self-healing layer for AI agents. This means developers can access, modify, and distribute its source code, fostering community contributions and transparency in its development.

How does TraceRoot.AI help with debugging AI agents?

TraceRoot.AI captures every LLM call, tool use, and agent step using OpenTelemetry-based instrumentation. An integrated AI agent then analyzes these traces to perform root cause analysis and automatically generate fix pull requests, significantly speeding up the debugging process.

What kind of visibility does TraceRoot.AI provide for AI agents?

TraceRoot.AI offers full visibility into the internal workings of AI agents. It allows users to see every LLM call, tool invocation, and decision made by the agent, providing a comprehensive understanding of its behavior and potential failure points.

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