Hyperparam
A platform to collect, store, and analyze AI agent logs, traces, and LLM chat sessions directly from your own storage.
Category: AI Data Analysis
Overview
Hyperparam is an observability tool designed for teams using AI agents and LLMs. It allows users to store and query massive volumes of AI interaction data, including agent traces and chat logs, to understand performance, costs, and usage patterns.
How to use it?
Connect your data storage to Hyperparam to begin capturing AI traffic and logs. Use the interface to perform keyword, semantic, or SQL queries across millions of rows to analyze model behavior and identify areas for improvement.
Features
Browser-based querying, Token cost analysis, Semantic log search, Agent trace visualization, Self-hosted storage integration, Workflow performance tracking
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