Overview

Doku is an innovative open-source observability tool tailored specifically for Large Language Models (LLMs). Its primary goal is to provide seamless integration into existing LLM applications, offering deep insights into their performance and usage. With features that allow for performance optimization and cost management, Doku empowers users to analyze and scale their AI applications effectively. Whether you use platforms like OpenAI, Cohere, or Anthropic, Doku ensures that you have a crystal-clear view of your LLM requests and their outcomes.

For anyone involved with LLMs, Doku is a game-changer, presenting a comprehensive lens to monitor usage, understand latencies, and foster collaboration within teams. The tool not only supports real-time monitoring but also enhances decision-making with actionable insights, heralding a new era of observability in the realm of generative AI.

Features

In-depth LLM Monitoring: Track every request to LLM platforms like OpenAI with precision, providing comprehensive visibility into model interactions.
Granular Usage Insights: Gain detailed control over your LLM's performance and costs by breaking down metrics by environment or application.
Integration with Observability Platforms: Easily export LLM data and insights to popular platforms such as Grafana and Datadog, streamlining your analysis.
Team-centric Workflow: Enhance collaboration and data sharing within teams, fostering an observability-driven environment for project success.
Support for Multiple LLMs: Compatible with leading LLMs including OpenAI, Cohere, and Anthropic, with plans to expand this list in the future.
Simplified Installation via Helm: Get started effortlessly by deploying Doku through its Helm chart, designed for Kubernetes environments.
API Key Management: Securely generate and manage API keys to connect with the Doku service, ensuring streamlined access to observability data.

Openlit

Openlit