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Langtrace
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.
Overview
Overview
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.
Capabilities
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.
Deployment
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.
Highlights
OpenTelemetry‑compliant tracing across LLM providers and vector databases
Real‑time monitoring of API calls, latency, and cost
Performance analytics with visual dashboards
Self‑hosting option via Docker Compose for full data control
Pros
- Broad support for major LLM providers and vector stores
- Standardized OTEL data enables integration with existing observability stacks
- Self‑hosted mode keeps all trace data on‑premises
- Managed SaaS version accelerates adoption
Considerations
- Some frameworks lack TypeScript SDK coverage (e.g., Langchain, Langgraph)
- Mistral provider not yet supported in the TypeScript SDK
- Self‑hosting requires Docker and three services to run
- Advanced UI features are limited in the open‑source version
Managed products teams compare with
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.
Fit guide
Great for
- Teams building production LLM applications that need tracing and cost monitoring
- Organizations with strict data‑privacy requirements preferring on‑premises observability
- Developers using TypeScript or Python SDKs for supported LLM providers
- Projects that rely on vector databases and want integrated performance metrics
Not ideal when
- Simple scripts or prototypes where observability adds unnecessary overhead
- Users of unsupported frameworks or providers without SDK coverage
- Teams unwilling to manage Docker‑based infrastructure for self‑hosting
- Projects that require a fully featured UI out‑of‑the‑box without setup
How teams use it
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
Tech snapshot
TypeScript99%
CSS1%
Shell1%
Dockerfile1%
JavaScript1%
Frequently asked questions
Does Langtrace collect any data when self‑hosted?
No. The self‑hosted client does not send telemetry; all trace data remains on your servers.
Which programming languages are supported?
SDKs are available for TypeScript/JavaScript and Python.
How do I integrate Langtrace with existing LLM code?
Install the appropriate SDK and initialize it before any LLM library imports; the SDK automatically instruments supported providers and frameworks.
Can I run Langtrace on Kubernetes?
Yes. While the quick‑start uses Docker Compose, the documentation provides guidance for Kubernetes and other orchestration platforms.
Is there a managed SaaS version?
Yes, Langtrace Cloud offers a hosted service; you can sign up, create a project, and obtain an API key.
Project at a glance
Active- Stars
- 1,095
- Watchers
- 1,095
- Forks
- 104
LicenseAGPL-3.0
Repo age1 year old
Last commit2 months ago
Primary languageTypeScript
Last synced yesterday