What is Langtrace.ai?

Langtrace is an open‑source observability and evaluation platform that tracks and optimizes AI agent performance. It provides a lightweight, fully in‑browser dashboard that is OTEL‑compatible and can be installed with only two lines of SDK code in Python or TypeScript.

The platform automatically traces GenAI stack calls, surfaces metadata, and aggregates key metrics such as token usage, cost, inference latency, and accuracy across models. Langtrace supports major frameworks—including CrewAI, DSPy, LlamaIndex, and Langchain—plus a wide range of LLM providers and vector databases.

Built for enterprise use, it offers SOC 2 Type II compliant security, optional on‑prem deployment, and fine‑grained access control for confidential data. Users can create, version, and evaluate prompts, run automated tests against curated datasets, and compare prompt performance across different models.

Langtrace.ai pricing Freemium

Free forever $0

Growth $31 per user/mo

Enterprise custom

Verify on the official pricing page.

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Langtrace.ai's key features

In-browser OTEL dashboard
2-line SDK integration
CrewAI DSPy LlamaIndex Langchain support
Automatic GenAI stack tracing
Prompt version control deployment
Enterprise SOC2 security
Open source GitHub

Langtrace.ai use cases

Track and analyze token usage, cost, and latency for each AI agent interaction in an on‑prem deployment, enabling teams to meet SOC 2 Type II compliance and optimize budget allocation.
Integrate Langtrace with OTEL-compatible frameworks to build a real‑time inference latency dashboard that flags performance regressions across multiple LLM providers, allowing rapid troubleshooting.
Create a prompt evaluation system that logs accuracy metrics for every generated response and applies fine‑grained access control, ensuring sensitive user data is protected while facilitating continuous improvement.