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LangWatch

Manage, evaluate, and optimize your LLM applications with LangWatch's powerful tools and integrations for high-quality and reliable AI solutions.

Natural Language Processing Updated 8 hours ago
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LangWatch

LangWatch's Top Features

LLM Performance Monitoring
Quality Evaluation Framework
Automated Prompt Optimization
Dataset Management System
Guardrails for Safety
Observability Tools
Collaboration Features
Wide Range of Integrations
Self-Hosting Option
DSPy Optimizers for Best Results

Frequently asked questions about LangWatch

LangWatch is an all-in-one platform for managing LLM-powered applications, focusing on performance monitoring, quality assurance, and optimization.

LangWatch provides over 30 evaluators and allows for custom ones to ensure high-quality LLM monitoring and performance assessment.

LangWatch supports various LLMs and frameworks, offering SDKs and a REST API for seamless integration with other tools.

LangWatch offers tools for dataset management and an Optimization Studio for prompt engineering with a drag-and-drop interface.

Yes, LangWatch supports both cloud-based and on-premise deployments, accommodating different organizational needs.

You can start with LangWatch by signing up for a free account to explore its features and offerings.

LangWatch offers documentation, GitHub, and Discord community support, as well as email support for users.

Yes, LangWatch includes guardrails to prevent jailbreaks and manage inappropriate content efficiently.

Yes, LangWatch allows for customization to suit specific business requirements including dashboards and evaluations.

Yes, LangWatch facilitates collaboration between developers, experts, and business stakeholders, enhancing teamwork.

LangWatch's pricing

Developer

N/A/

  • LLM monitoring and evaluation
  • 1,000 traces/month
  • 30-day data access

Launch

N/A/

  • All Developer features
  • 20,000 traces/month
  • 180-day data access

Accelerate

N/A/

  • All Launch features
  • 20,000 traces/month
  • Up to 2 years of data retention

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Category
Natural Language Processing
Tags
LLMops
large language model applications
domain experts
developers
performance monitoring
quality evaluation
optimization
prompt engineering
model selection
framework integration

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