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⭐️ Analyze your LLM calls - 2.0

Blog post from Portkey

Post Details
Company
Date Published
Author
Rohit Agarwal
Word Count
621
Company Posts That Month
5
Language
English
Hacker News Points
7
Post removed?
No
Summary

Portkey has enhanced its observability features for managing LLM (Large Language Model) API requests by introducing revamped dashboards that provide comprehensive visibility across various metrics, including Requests, Users, Errors, Cache, and Feedback. These dashboards enable users to analyze the cost, latency, accuracy, and user behavior of their requests, offering insights into metrics such as error rates, cache efficiency, and user feedback. The platform supports 21 specific metrics and allows filtering based on criteria such as date, model type, cost, tokens, status codes, and custom metadata, making it easier for users to tailor their analysis. This capability is particularly beneficial for those working with APIs like OpenAI, who face challenges in measuring and optimizing the performance of their requests.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
LLM 6 3,077 361 126 +59%
Observability 1 1,452 265 96 -4%
Use This Data

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.