Langtrace AI
Open-source tool for LLM apps monitoring and performance improvement.
Score
60
User Rating
3.0
Free/Trial Support
Supported
Starting Price
--
Last Updated
Aug 14, 2026
Overview
What is Langtrace AI?
Langtrace AI is an open-source observability tool that helps monitor, evaluate, and improve your LLM apps. With end-to-end visibility, advanced security, and seamless integration, Langtrace ensures you can optimize performance and build with confidence. It is an Open Source Observability and Evaluations Platform for AI Agents. Langtrace supports CrewAI, DSPy, LlamaIndex & Langchain. It also supports a wide range of LLM providers and VectorDBs out of the box.
What is Langtrace AI used for?
Tags
Top Features
- End-to-end visibility for LLM apps
- Advanced security protocols
- Seamless integration with popular LLMs, frameworks, and vector databases
- Dashboards to track token usage, cost, latency, and evaluated accuracies
- Automated tracing of GenAI stack and surfacing relevant metadata
- Evaluations to measure baseline performance and curate datasets for automated evaluations and finetuning
- Prompt version control
- Playground to compare prompt performance across different models
How to use Langtrace AI?
To set up Langtrace, create a project and generate an API key. Then, install the appropriate SDK and instantiate Langtrace with the API key.
Alternative Tools
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Pros & Cons
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Use Cases
- Improving the performance and security of AI agents through observability and evaluations
- Measuring baseline performance and iterating towards better performance and safety
- Troubleshooting bugs in DSPy based applications
- Tracking vital metrics such as token usage, cost, and latency
- Ensuring on-prem installs for businesses with privacy concerns
Langtrace AI Pricing
Free PlanSubscription Plan
No detailed pricing information available
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