Monitor OpenAI API Latency, Tokens, Rate Limits, and More

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured
  • graphsignal-python

    Graphsignal Tracer for Python

  • Relying on hosted inference with LLMs, such as via OpenAI API, in production has some challenges. The use of APIs should be designed around unstable latency, rate limits, token counts, costs, etc. To make it observable we've built tracing and monitoring specifically for AI apps. For example, the OpenAI Python library is monitored automatically, no need to do anything. We'll be adding support for more libraries. If you'd like to give it try, see https://github.com/graphsignal/graphsignal or the docs.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

Suggest a related project

Related posts

  • Show HN: Python Monitoring for LLMs, OpenAI, Inference, GPUs

    2 projects | news.ycombinator.com | 4 Apr 2023
  • Show HN: Python Monitoring for AI: LLMs, OpenAI, Inference, GPUs

    1 project | news.ycombinator.com | 29 Mar 2023
  • Show HN: Python Monitoring for AI: LLMs, OpenAI, Inference, GPUs

    2 projects | news.ycombinator.com | 28 Mar 2023
  • [N] Monitor OpenAI API Latency, Tokens, Rate Limits, and More with Graphsignal

    1 project | /r/MachineLearning | 31 Jan 2023
  • [N] Easily profile FastAPI model serving

    1 project | /r/MachineLearning | 13 Oct 2022