OpenTelemetry Instrumentation for AI Observability
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Updated
Oct 19, 2026 - Python
OpenTelemetry Instrumentation for AI Observability
This is a project that unifies the management of LLM APIs. It can call multiple backend services through a unified API interface, convert them to the OpenAI format uniformly, and support load balancing. Currently supported backend services include: OpenAI, Anthropic, DeepBricks, OpenRouter, Gemini, Vertex, etc.
Find zero-days while you sleep. DeepZero is an automated vulnerability research framework that parses, decompiles, and analyzes thousands of Windows kernel drivers for exploitable IOCTLs natively using AI agents.
Immergo is an immersive language learning application powered by the Google Gemini Live SDK. It simulates real-world roleplay scenarios (e.g., buying a bus ticket, ordering coffee) to help users practice speaking in various languages with an AI that acts as a native speaker.
RGL is a framework for graph data structures and algorithms in Ruby.
A Ruby Gem for interacting with Gemini through Vertex AI, Generative Language API, or AI Studio, Google's generative AI services.
SparklingGraph provides easy to use set of features that will give you ability to proces large scala graphs using Spark and GraphX.
AR Navigation allows creating apps that use AR to navigate within a given target area.
An epithelium simulation library
Dart implementation of a directed graphs and graph crawler. Provides algorithms for sorting vertices, retrieving a topological ordering and detecting cycles.
Mesh Maker VR
Collaborate on 3D models in real-time using the Vertex Platform.
Fast regression and mediation analysis of vertex or voxel MRI data with TFCE
Easy-to-use Python bindings for HepMC3
VertexAI-KT is a Kotlin multiplatform library that simplifies integration with Google Cloud's Vertex AI PaLM API for generative model creation and training.
To associate your repository with the vertex topic, visit your repo's landing page and select "manage topics."