Langtrace vs Langfuse — Comparison

Langtrace

Transform AI Prototypes into Enterprise-Grade Products

Langtrace lite, a lightweight, fully in-browser OTEL-compatible observability dashboard Langtrace is an Open Source Observability and Evaluations Platform for AI Agents Langtrace is an Open Source Observability and Evaluations Platform for AI Agents Hi! What’s the best way to improve the performance and security of my AI agents? Hi, thanks for reaching out. You need a combination of observability and evaluations in order to measure the performance and iterate towards better performance and safety with your AI agents. Langtrace is the best platform out there that can help you do this with minimal effort. You can set up Langtrace by following the steps below: - Create a project and generate an API key - Follow the instructions to install the appropriate SDK and instantiate Langtrace with the API key. Let me know if you have any additional questions. Thanks! What frameworks do you support? Langtrace supports CrewAI, DSPy, LlamaIndex Langchain. We also support a wide range of LLM providers and VectorDBs out of the box. Access the Langtrace SDK with 2 lines of code with support in Python and TypeScript. Everything you need, out of the box. Get the insights and evaluations needed to take your LLM app to the next level Dashboards to track token usage, cost, latency and evaluated accuracies. Dashboards to track token usage, cost, latency and evaluated accuracies. Dashboards to track token usage, cost, latency and evaluated accuracies. Automatically trace your GenAI stack and surface relevant metadata. Automatically trace your GenAI stack and surface relevant metadata. Measure baseline performance, curate datasets for automated evaluations and finetuning Measure baseline performance, curate datasets for automated evaluations and finetuning Store and version control your prompts. Deploy new prompts or roll back with just a few clicks. Store and version control your prompts. Deploy new prompts or roll back with just a few clicks. You are a document parser. Your job is to read the document and parse it in … Compare the performance of your prompts across different models. You are a document parser. Your job is to read the document and parse it in … Compare the performance of your prompts across different models. Designed to help enterprises of any size to deploy AI apps safely. Designed to help enterprises of any size to deploy AI apps safely. Proven, industry-leading security protocols protect your data with the enterprise-grade encryption standards. SOC2 Type II certified, meeting stringent compliance requirements for robust data protection. Our solutions empower you to customize, audit, and contribute, fostering innovation and trust in every line of code. Our source code is fully accessible on GitHub—explore, review, and contribute as you see fit, and help us shape the future together! Our source code is fully accessible on GitHub—explore, review, and contribute as you see fit, and help us shape the future together! Langtr

Langfuse

Traces, evals, prompt management and metrics to debug and improve your LLM application.

Based on the available social mentions, Langfuse appears to be a well-recognized player in the LLM observability and tracing space, often mentioned alongside other established tools like Helicone and Arize. Users appreciate that it provides LLM call tracking capabilities, but some developers note limitations - specifically that it doesn't fully understand agent topology, tool calls, and handoffs in multi-agent systems. The tool seems to face competition from both cloud-only paid solutions like LangSmith and newer open-source alternatives that aim to address its perceived gaps. Overall, Langfuse is viewed as a solid option for basic LLM monitoring, though the market appears to be evolving toward more comprehensive agent observability solutions.

Langtrace

Langfuse

Langtrace

Langfuse

Langtrace

Langfuse