AI observability platform for monitoring, debugging, and optimizing LLM performance and usage analytics.

Screenshot of LangWatch

About LangWatch

LangWatch provides tools to monitor, analyze, and troubleshoot large language model (LLM) applications in production. It tracks latency, costs, and quality metrics, offers real-time insights into model behavior, and detects hallucinations or biases. Integrates with OpenAI, Anthropic, and custom models to ensure reliability, compliance, and cost efficiency across AI workflows.

Agentic

Developer
LangWatch
Added
4 days ago

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AI Agent Categories

Research Assistants

AI agents designed to support research activities by gathering relevant information, analyzing data, summarizing findings, and even generating hypotheses. These agents assist in academic research, market analysis, scientific studies, and more, helping researchers to save time and focus on critical aspects of their work.

Data Analysis

AI agents that focus on processing and analyzing large datasets to extract valuable insights. These agents can perform statistical analysis, identify trends, visualize data, and generate reports, helping organizations make informed, data-driven decisions.

Productivity

AI agents designed to enhance personal and professional productivity by automating tasks, managing schedules, prioritizing work, and providing insights to improve efficiency.

Data Science

AI agents for data science assist professionals and organizations in analyzing, visualizing, and deriving insights from vast amounts of data. These agents can automate repetitive data tasks, build predictive models, and identify trends, making data science workflows more efficient and accessible.

Observability

Tools and frameworks that provide monitoring, debugging, and analytics for AI agents. Observability ensures agents are performing optimally, tracking performance metrics, and diagnosing issues in real time.

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