Скачать или смотреть Trace your AI Agents for FREE! (LangTrace)

🚀 Master AI Agent Observability with Langtrace - FREE Open Source Tool for LangChain, LlamaIndex & CrewAI

Langtrace is an open-source *data observability* tool that allows you to monitor your *agentic ai* applications in *real-time analytics**. With Langtrace, you can track the performance of your **llm applications* and optimize your **developer productivity**. Understanding the behind-the-scenes interactions is key to improving your AI application.

https://mer.vin/2025/07/langtrace/
http://langtrace.ai/
   • Llama 3 RAG: How to Create AI App using Ol...  

Unlock the power of AI agent monitoring with Langtrace - a completely open-source observability tool that lets you track, optimize, and understand exactly what's happening behind the scenes in your AI applications!

📌 What You'll Learn

In this comprehensive tutorial, I'll show you how to:
Install and run Langtrace locally on your computer for FREE
Monitor AI agent interactions, performance metrics, and costs in real-time
Integrate Langtrace with popular frameworks (LangChain, LlamaIndex, CrewAI)
Track API calls, embeddings, and retrieval processes step-by-step
Optimize slow functions and reduce operational costs
Set up human evaluation, dataset creation, and prompts registry

🔧 Key Features Covered

*Langtrace Dashboard Overview:*
Real-time monitoring at localhost:3000
Track interaction times and identify performance bottlenecks
Monitor total costs for running AI applications
Access human evaluation tools
Manage dataset creation and prompts registry
Configure settings for your specific needs

*Multiple Integration Support:*
Ollama
Autogen
Gemini
And many more!

💻 Installation Guide

*Prerequisites:*
Docker Desktop (download from docker.com)
Git installed on your system
OpenAI API key

*Quick Setup Steps:*
1. Clone the Langtrace repository
2. Navigate to the langtrace folder
3. Run Docker Compose to start the application
4. Access the dashboard at localhost:3000
5. Login with admin credentials (found in .env file)

🔗 Integration Examples

*LangChain Integration:*
Simple RAG application demonstration
Document retrieval from soccer rules example
Track embedding creation and retrieval processes
Monitor question-answering workflows

*LlamaIndex Integration:*
Document loading tracking
Embedding creation monitoring
Retrieval process visualization
Step-by-step API call analysis

*CrewAI Integration:*
Seamless integration with just 2 lines of code
Complete agent interaction tracking
Performance metrics for multi-agent systems

🎯 Why Langtrace?

Without proper observability tools, optimizing AI applications becomes a guessing game. Langtrace provides:
Complete transparency into AI agent operations
Cost tracking for budget management
Performance optimization insights
Easy debugging capabilities
Free local deployment option

🛠️ Technical Implementation

Adding Langtrace to your AI application is incredibly simple:
Install the Langtrace Python SDK
Add just 2 lines of import code
Generate and configure your API key
Start tracking immediately!

📊 What Gets Tracked?

Every API call and its duration
Embedding generation processes
Document retrieval operations
Total costs per operation
Complete interaction traces
Performance bottlenecks

🌟 Benefits for Developers

Identify and optimize slow functions
Reduce operational costs
Debug complex AI workflows
Improve application performance
Gain insights into agent behavior
Create better AI applications

🔐 Security & Privacy

Run entirely on your local machine
Control your own data
Customize user access and permissions
Modify passwords and settings as needed

📚 Resources & Links

All code examples, installation commands, and additional resources are available in the links below. Check out my other video on creating RAG applications for a deeper dive into AI development!

---

🎥 If you found this tutorial helpful, don't forget to like, subscribe, and hit the notification bell for more AI development content!

💬 Let me know in the comments what you think about Langtrace and how you're planning to use it in your AI projects!

#Langtrace #AIAgents #LangChain #LlamaIndex #CrewAI #AIObservability #OpenSource #AIMonitoring #MachineLearning #AIOptimization



Timestamp:

0:00 - Introduction to AI Agent Observability
0:10 - What is Langtrace and Its Benefits
0:47 - Langtrace Dashboard Overview
1:19 - Installing Langtrace with Docker
2:03 - Setting Up Langtrace Project
2:41 - Integrating with LangChain
4:20 - Integrating with LlamaIndex
5:02 - Integrating with CrewAI