arize-phoenix

Build Agentic AI solutions on AWS, using latest OSS Agentic Frameworks.

⚡Ship RAG Solutions Quickly and effortlessly

Курс "Разработка AI/LLM-приложений на Python: от идеи до релиза" предоставляет слушателям возможность пройти через полный цикл создания LLM-приложений, от идеи до релиза. В рамках курса вы познакомитесь с передовыми технологиями и инструментами, такими как Mistral AI API, LangChain, Arize Phoenix, FastAPI, PostgreSQL и Docker и т.д

OTel Plugin for Hermes Agent

Sage is a virtual Mythic agent that that uses an AI agentic system to operate Mythic and Mythic agents running on compromised hosts.

A production framework for DSPy implementing the Teacher-Student pattern. Distill the reasoning of expensive models (Teacher) into optimized prompts for cheap, fast models (Student) to reduce inference costs by up to 50x.

Root cause analysis for AI agents. Detects agent loops, retry storms, and optimization opportunities in LangSmith, Langfuse, Arize Phoenix, and OpenTelemetry traces.

Modern Wisdom AI RAG Pipeline

a small space adventure showcasing the capabilities of retrieval augmented generation (RAG)

Human-in-the-loop AI release gate: Gemini 3 on Vertex AI reasons over Arize Phoenix telemetry to approve, block, or guardrail a version promotion, with idempotent gated writes. Google Cloud Rapid Agent Hackathon.

An agentic system that performs swarm-style repository audits and synthesizes structured GitLab/Github issues.

A Gemini agent that reviews legal cases safely — real CourtListener case law only, no advice, safety-scored in Arize Phoenix.

Four deployable reference scenarios to govern GitHub Copilot and custom AI agents like any other enterprise actor: identity, audit, per-team cost, safety, quality evals, and per-PR agent-vs-human attribution. Azure AI Foundry, APIM AI Gateway, App Insights, OpenTelemetry

🤖 Intelligent, secure, and multilingual chatbot backend for Lorenzo Maiuri's website. Built with FastAPI, Gemini LLM, LlamaIndex, and MongoDB. Features session memory, tool-calling, and robust security

BUFI Minions — self-improving Gemini 3 agents with Arize Phoenix observability (OpenInference tracing, Phoenix MCP self-introspection, LLM-as-judge evals). Devpost 'Agents for Real-World Challenges' Arize track.

Grocery agent for one household on one RTX 3090: NVIDIA Nemotron 3.5 Lightning via vLLM, traced in Arize Phoenix. Choose from what was retrieved, reject and count what was invented, every Yes/No is a label.

Self-improving SRE agent for ML model observability with Gemini, Phoenix tracing, and MCP

TracePilot: Gemini CLI fork with Phoenix/OpenInference tracing, MCP self-introspection, safety gates, redaction, evals, and a verified broken-repo repair loop

Enterprise-grade GenAI observability and evaluation framework using OpenTelemetry conventions, with multi-agent orchestration tested on the Mind2Web benchmark.

A stateful LangGraph agent that investigates billing discrepancies and proposes fixes — instrumented end-to-end with Arize Phoenix for tracing, evaluation, and RAG.