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features
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support

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Description

Langtrace is an open-source observability solution designed to gather and evaluate traces and metrics, aiming to enhance your LLM applications. It prioritizes security with its cloud platform being SOC 2 Type II certified, ensuring your data remains highly protected. The tool is compatible with a variety of popular LLMs, frameworks, and vector databases. Additionally, Langtrace offers the option for self-hosting and adheres to the OpenTelemetry standard, allowing traces to be utilized by any observability tool of your preference and thus avoiding vendor lock-in. Gain comprehensive visibility and insights into your complete ML pipeline, whether working with a RAG or a fine-tuned model, as it effectively captures traces and logs across frameworks, vector databases, and LLM requests. Create annotated golden datasets through traced LLM interactions, which can then be leveraged for ongoing testing and improvement of your AI applications. Langtrace comes equipped with heuristic, statistical, and model-based evaluations to facilitate this enhancement process, thereby ensuring that your systems evolve alongside the latest advancements in technology. With its robust features, Langtrace empowers developers to maintain high performance and reliability in their machine learning projects.

Description

Pydantic Logfire serves as an observability solution aimed at enhancing the monitoring of Python applications by converting logs into practical insights. It offers valuable performance metrics, tracing capabilities, and a comprehensive view of application dynamics, which encompasses request headers, bodies, and detailed execution traces. Built upon OpenTelemetry, Pydantic Logfire seamlessly integrates with widely-used libraries, ensuring user-friendliness while maintaining the adaptability of OpenTelemetry’s functionalities. Developers can enrich their applications with structured data and easily queryable Python objects, allowing them to obtain real-time insights through a variety of visualizations, dashboards, and alert systems. In addition, Logfire facilitates manual tracing, context logging, and exception handling, presenting a contemporary logging framework. This tool is specifically designed for developers in search of a streamlined and efficient observability solution, boasting ready-to-use integrations and user-centric features. Its flexibility and comprehensive capabilities make it a valuable asset for anyone looking to improve their application's monitoring strategy.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

OpenAI
OpenTelemetry
Chroma
Claude
Gemini
Gemini 1.5 Flash
Gemini 1.5 Pro
Gemini 2.0 Flash
Gemini Advanced
Gemini Enterprise
Gemini Pro
LangChain
LlamaIndex
Microsoft Azure
Perplexity
Pinecone
Python
Qdrant
SQLAlchemy
pgvector

Integrations

OpenAI
OpenTelemetry
Chroma
Claude
Gemini
Gemini 1.5 Flash
Gemini 1.5 Pro
Gemini 2.0 Flash
Gemini Advanced
Gemini Enterprise
Gemini Pro
LangChain
LlamaIndex
Microsoft Azure
Perplexity
Pinecone
Python
Qdrant
SQLAlchemy
pgvector

Pricing Details

Free
Free Trial
Free Version

Pricing Details

$2 per month
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Langtrace

Website

www.langtrace.ai/

Vendor Details

Company Name

Pydantic

Country

United States

Website

pydantic.dev/logfire

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