AI Observability & Evaluation
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Updated
Jul 18, 2024 - Jupyter Notebook
AI Observability & Evaluation
OpenLIT is an open-source LLM Observability tool built on OpenTelemetry. 📈🔥 Monitor GPU performance, LLM traces with input and output metadata, and metrics like cost, tokens, and user interactions along with complete APM for LLM Apps. 🖥️
Fiddler Auditor is a tool to evaluate language models.
A comprehensive solution for monitoring your AI models in production
A python library to send data to Arize AI!
A report generator library for the ML models deployed on the Fiddler AI Observability platform
Java client to interact with Arize API
Example projects for Arthur Model Monitoring Platform
This repo hosts a chatbot that runs in a docker container to demo Okahu AI Observability Cloud
This repo hosts a chatbot that runs in Github Codespaces to demo Okahu AI Observability Cloud with OpenAI
The Modelmetry Python SDK allows developers to easily integrate Modelmetry’s advanced guardrails and monitoring capabilities into their LLM-powered applications.
Official Python Library to monitor your LLM Application with Doku
Official NodeJS library for monitoring LLM Applications with Doku
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