GraphCanon updated 4w · GitHub synced 4w
Decision brief
Langtrace stands out as an open-source observability solution for large language models, offering real-time tracing and evaluation capabilities through the Open Telemetry framework.
Good fit when
- When developing or using LLMs and frameworks where end-to-end visibility into every aspect of model performance is crucial.
- If your application involves vector databases alongside LLMs, Langtrace provides integrated observability which can help in evaluating how these data stores impact the overall system.
Avoid when
- For teams that do not require real-time tracing and evaluations, as implementing Langtrace might introduce unnecessary overhead.
- When working with non-LLM AI applications or other machine learning models, Langtrace’s specialized features for large language models may not provide much value.
Observed Jul 12, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Slowing (245d since push)
- As of 4w
- Provenance
- Not a fork · Organization account
- As of 4w
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
npm install langtrace npmHow it fits your stack(9)
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Overview
Langtrace is an open-source observability tool designed to provide real-time tracing, evaluations, and metrics for large language models (LLMs) and their frameworks.
Capability facts
- Deploy
- Self-host
Source: dockerfile:Dockerfile · Jul 21, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Jul 21, 2026
- CLI
- CLI entrypoint
Source: package.json:bin|scripts · Jul 21, 2026
- MCP server
- No MCP server detected
Source: repo_scan · Jul 21, 2026
- Languages
- typescript, javascript
Source: github.language+package.json · Jul 21, 2026
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README
For agents
This page has a .md twin and JSON over the API.