What is Langtrace.ai?
Langtrace.ai is an open-source platform designed to help developers monitor, trace, and assess the performance of applications powered by Large Language Models (LLMs). It automatically captures detailed telemetry data in OpenTelemetry format, including prompts, responses, token usage, costs, model settings, and response times. Integration is seamless—just two lines of code are needed to start tracking your LLM workflows.
How to use Langtrace.ai?
To get started with Langtrace.ai, install the Python or TypeScript SDK, create an API key from your dashboard, and initialize the SDK using that key. This quick setup enables immediate monitoring of your LLM-based application's behavior and performance.
Key Features Of Langtrace.ai
Tracing
Evaluations
Prompt Management
Datasets
Langtrace.ai's Use Cases
LLM Ops
ML Ops
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Langtrace.ai Support Email & Customer service contact & Refund contact etc.
For assistance, reach out via the official support email: [email protected].
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Langtrace.ai Company
Langtrace.ai is developed and maintained by Scale3 Labs.
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Langtrace.ai Login
Access your account at the official login page: https://www.langtrace.ai/login
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Langtrace.ai Sign up
Create a new account here: https://www.langtrace.ai/signup
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Langtrace.ai YouTube
Subscribe to our channel: https://www.youtube.com/@Langtrace
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Langtrace.ai LinkedIn
Connect with us on LinkedIn: https://www.linkedin.com/company/scale3labs
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Langtrace.ai Twitter
Follow us on X (formerly Twitter): https://twitter.com/langtrace_ai
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Langtrace.ai GitHub
Explore the source code: https://github.com/Scale3-Labs/langtrace
FAQ from Langtrace.ai
What is Langtrace.ai?
Langtrace is an open-source platform built to offer observability into LLM-powered applications. It generates structured traces compatible with OpenTelemetry, capturing prompt inputs, completions, cost metrics, latency, tokens used, and more—all with minimal integration effort.
How to use Langtrace.ai?
To begin, install the Langtrace SDK for Python or TypeScript, generate an API key from your account dashboard, and initialize the SDK within your application using that key.
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