--- title: "langtrace" type: "tool" slug: "scale3-labs-langtrace" canonical_url: "https://www.graphcanon.com/tools/scale3-labs-langtrace" github_url: "https://github.com/Scale3-Labs/langtrace" homepage_url: "https://langtrace.ai" stars: 1212 forks: 124 primary_language: "TypeScript" license: "AGPL-3.0" categories: ["evaluation-observability", "inference-serving"] tags: ["llmops", "llm-framework", "evaluations", "llm", "ai", "datasets", "gpt", "langchain"] updated_at: "2026-07-07T18:47:38.400973+00:00" --- # langtrace > Langtrace πŸ” - Open Telemetry based observability for LLM applications Langtrace provides real-time tracing, evaluations, and metrics for Large Language Models (LLMs) and their frameworks, integrating through TypeScript and Python SDKs. ## Facts - Repository: https://github.com/Scale3-Labs/langtrace - Homepage: https://langtrace.ai - Stars: 1,212 Β· Forks: 124 Β· Open issues: 1 Β· Watchers: 19 - Primary language: TypeScript - License: AGPL-3.0 - Last pushed: 2025-11-17T15:08:48+00:00 ## Categories - [Evaluation & Observability](/categories/evaluation-observability.md) - [Inference & Serving](/categories/inference-serving.md) ## Tags llmops, llm-framework, evaluations, llm, ai, datasets, gpt, langchain ## Related tools - [langflow](/tools/langflow-ai-langflow.md) - Langflow is a powerful platform for building and deploying AI-powered agents and workflows. (β˜… 151,298) - [open-webui](/tools/open-webui-open-webui.md) - User-friendly AI Interface (Supports Ollama, OpenAI API, ...) (β˜… 144,575) - [vllm](/tools/vllm-project-vllm.md) - A high-throughput and memory-efficient inference and serving engine for LLMs (β˜… 85,612) - [rtk](/tools/rtk-ai-rtk.md) - CLI proxy reducing LLM token consumption by 60-90% (β˜… 69,253) - [unsloth](/tools/unslothai-unsloth.md) - Unsloth Studio is a web UI for training and running open models locally. (β˜… 67,883) - [anything-llm](/tools/mintplex-labs-anything-llm.md) - Stop renting your intelligence. Own it with AnythingLLM. (β˜… 62,759) - [worldmonitor](/tools/koala73-worldmonitor.md) - Real-time global intelligence dashboard (β˜… 61,516) - [TrendRadar](/tools/sansan0-trendradar.md) - ε‘Šεˆ«δΏ‘ζ―θΏ‡θ½½οΌŒδ½ ηš„AIθˆ†ζƒ…η›‘ζŽ§εŠ©ζ‰‹δΈŽηƒ­η‚Ήη­›ι€‰ε·₯ε…· (β˜… 60,330) ## README (excerpt) ```text

Langtrace
Langtrace

Open Source Observability for LLM Applications

--- ## πŸ“š Table of Contents - [✨ Features](#-features) - [πŸš€ Quick Start](#-quick-start) - [πŸ”— Integrations](#-supported-integrations) - [🌐 Getting Started](#-getting-started) - [🏠 Self Hosting](#-langtrace-self-hosted) - [πŸ“ Architecture](#-langtrace-system-architecture) - [🀝 Contributing](#-contributions) - [πŸ”’ Security](#-security) - [❓ FAQ](#-frequently-asked-questions) - [πŸ‘₯ Contributors](#-contributors) - [πŸ“œ License](#-license) Langtrace is an open source observability software which lets you capture, debug and analyze traces and metrics from all your applications that leverages LLM APIs, Vector Databases and LLM based Frameworks. ## ✨ Features - πŸ“Š **Open Telemetry Support**: Built on OTEL standards for comprehensive tracing - πŸ”„ **Real-time Monitoring**: Track LLM API calls, vector operations, and framework usage - 🎯 **Performance Insights**: Analyze latency, costs, and usage patterns - πŸ” **Debug Tools**: Trace and debug your LLM application workflows - πŸ“ˆ **Analytics**: Get detailed metrics and visualizations - 🏠 **Self-hosting Option**: Deploy on your own infrastructure ## πŸš€ Quick Start ```bash # For TypeScript/JavaScript npm i @langtrase/typescript-sdk # For Python pip install langtrace-python-sdk ``` Initialize in your code: ```typescript // TypeScript import * as Langtrace from '@langtrase/typescript-sdk' Langtrace.init({ api_key: '' }) // Get your API key at langtrace.ai ``` ```python # Python from langtrace_python_sdk import langtrace langtrace.init(api_key='') # Get your API key at langtrace.ai ``` For detailed setup instructions, see [Getting Started](#-getting-started). ## πŸ“Š Open Telemetry Support The traces generated by Langtrace adhere to [Open Telemetry Standards(OTEL)](https://opentelemetry.io/docs/concepts/signals/traces/). We are developing [semantic conventions](https://opentelemetry.io/docs/concepts/semantic-conventions/) for the traces generated by this project. You can checkout the current definitions in [this repository](https://github.com/Scale3-Labs/langtrace-trace-attributes/tree/main/schemas). Note: This is an ongoing development and we encourage you to get involved and welcome your feedback. --- ## πŸ“¦ SDK Repositories - [Langtrace Typescript SDK](https://github.com/Scale3-Labs/langtrace-typescript-sdk) - [Langtrace Python SDK](https://github.com/Scale3-Labs/langtrace-python-sdk) - [Semantic Span Attributes](https://github.com/Scale3-Labs/langtrace-trace-attributes) --- ## πŸš€ Getting Started ### Langtrace Cloud ☁️ To use the managed SaaS version of Langtrace, follow the steps below: 1. Sign up by going to [this link](https://langtrace.ai). 2. Create a new Project after signing up. Projects are containers for storing traces and metrics generated by your application. If you have only one application, creating 1 project will do. 3. Generate an API key by going inside the project. 4. In your application, install the Langtrace SDK and initialize it with the API key you generated in the step 3. 5. The code for installing and setting up the SDK is shown below: ### If your application is built using typescript/javascript ```typescript npm i @langtrase/typescript-sdk ``` ```typescript import * as Langtrace from '@langtrase/typescript-sdk' // Must precede any llm module imports Langtrace.init({ api_key: }) ``` OR ```typescript import * as Langtrace from "@langtrase/typescript-sdk"; // Must precede any llm module imports LangTrace.init(); // LANGTRACE_API_KEY as an ENVIRONMENT variable ``` ### If your application is built using python ```python pip install langtrace-python-sdk ``` ```python from ``` --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/tools/scale3-labs-langtrace`](/api/graphcanon/tools/scale3-labs-langtrace) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_