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Observability platform for LLM applications with real‑time tracing
Langtrace provides OpenTelemetry‑compatible tracing, metrics, and debugging for LLM APIs, vector databases, and frameworks, with self‑hosted or SaaS options and SDKs for TypeScript and Python.
Langtrace is built for developers and teams that run production‑grade LLM services and need end‑to‑end visibility. By adhering to OpenTelemetry standards, it captures detailed traces and metrics from LLM providers, vector stores, and popular AI frameworks, helping you understand latency, cost, and usage patterns.
The platform automatically instruments supported providers (OpenAI, Anthropic, Azure, etc.) and frameworks (LlamaIndex, Langgraph, etc.) via lightweight TypeScript and Python SDKs. Real‑time dashboards surface performance insights, while built‑in debug tools let you step through request flows and pinpoint failures. All data can be stored locally when self‑hosting, ensuring compliance for regulated workloads.
Choose the managed Langtrace Cloud service for quick start, or run the three‑service stack (Next.js, Postgres, ClickHouse) with Docker Compose on your own infrastructure. Documentation covers Kubernetes and other deployment patterns, giving you flexibility to match your security and scalability requirements.
When teams consider Langtrace, these hosted platforms usually appear on the same shortlist.
Looking for a hosted option? These are the services engineering teams benchmark against before choosing open source.
Debugging LLM API latency spikes
Identify slow calls, reduce response times, and lower usage costs
Monitoring vector similarity search performance
Visualize query latency and optimize indexing strategies
Auditing usage across multiple LLM providers
Consolidate metrics for accurate cost allocation and budgeting
Self‑hosted compliance tracing for regulated data
Keep all trace data within the organization to meet compliance standards
No. The self‑hosted client does not send telemetry; all trace data remains on your servers.
SDKs are available for TypeScript/JavaScript and Python.
Install the appropriate SDK and initialize it before any LLM library imports; the SDK automatically instruments supported providers and frameworks.
Yes. While the quick‑start uses Docker Compose, the documentation provides guidance for Kubernetes and other orchestration platforms.
Yes, Langtrace Cloud offers a hosted service; you can sign up, create a project, and obtain an API key.
Project at a glance
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