What is Langtrace AI
Enhance AI application performance with Langtrace AI's open-source observability tools. Monitor, evaluate, and secure LLM-powered apps with real-time tracing, SOC2 compliance, and multi-framework support.
Frequently Asked Questions about Langtrace AI
What is Langtrace AI?▾
Langtrace AI is a tool for tracing, visualizing, and debugging large language model interactions by capturing prompts, responses, and associated metadata to help developers observe and improve model behavior.
What problems does Langtrace AI solve?▾
It helps diagnose unexpected outputs, track prompt changes, compare model runs, monitor performance, and audit decisions so you can iterate faster and reduce regressions.
How do I integrate Langtrace AI with my application?▾
Integration is typically done by adding a lightweight instrumentation layer or SDK to your application or pipeline that sends model calls and metadata to Langtrace; consult the project’s quickstart docs for code examples and best practices.
Which models and frameworks does Langtrace AI work with?▾
Tools like this generally support major LLM providers and popular frameworks/SDKs; check the project documentation for the exact list of supported models and integrations.
Is Langtrace AI cloud-hosted or can I self-host it?▾
Many observability projects offer both cloud-hosted services and self-hosted deployment options; refer to the Langtrace docs or contact the team to confirm available deployment choices.
How does Langtrace AI handle data privacy and security?▾
Expect configurable data controls such as retention and redaction, access controls, and detailed privacy/security documentation; review the project’s privacy policy and security pages for specifics and compliance information.
What observability features does Langtrace AI provide?▾
Common features include request/response logging, end-to-end trace visualizations, versioned run comparisons, timing metrics, and the ability to annotate or search traces to find issues quickly.
How do I get started with Langtrace AI?▾
Start by visiting the project site or docs, creating an account or installing the SDK, instrumenting a few model calls per the quickstart guide, and then viewing traces in the UI to validate the setup.
Will Langtrace AI store my users' conversation data and for how long?▾
Tracing tools capture interaction data to provide observability; retention policies and deletion controls are commonly configurable, so check the product settings and privacy documentation for exact retention and deletion options.
What support and pricing options are available?▾
Pricing and support vary by project — many offer a free tier plus paid plans and enterprise support; consult the Langtrace website or contact sales/support for current pricing and support details.
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