AI J2 Chat API Connector
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Updated
Apr 3, 2024 - TypeScript
AI J2 Chat API Connector
Aletheia is an open-source platform for designing, testing, and securing AI assistants with built-in evaluation, versioning, and security checks before you ship.
Cycles budget and action guard for OpenClaw agents
Exeutable Intelligence Platform.
A lightweight, local-first observability proxy and dashboard designed to intercept, log, and trace LLM interactions. OpenInspector acts as a transparent middleman, offering full visibility into agentic workflows, tool executions, and latency metrics without requiring you to change a single line of your application code.
CLI for AI prompt testing, LLM cost optimization, prompt validation, and CI safety checks before production.
Add complete LangWatch observability to your n8n workflows. Confidence is 🔑.
A web sandbox for hands-on learning of LLM and RAG Evaluation
Data quality monitoring for Postgres
A FinOps control plane for AI APIs - Drop-in API gateway that enforces hard budgets, rate limits, and custom policy checks before any request reaches AI providers. Stop surprise AI bills with multi-tenant budget controls, complete audit trails, and sub-20ms latency overhead
UAICP (Universal Agentic Interoperability Control Protocol): open reliability contract for AI agent workflows with evidence gating, policy controls, and auditability.
Sample implementation demonstrating how to use Firebase Genkit with Promptfoo
🛠️ Enhance agentic development with tools for isolated environments and unused code detection in your stack.
Dependabot for LLM models — scans code for outdated AI model strings, opens upgrade PRs automatically
Contracts and schemas for a multi-repo knowledge pipeline: events, sessions, summaries, digests, and publishing buses.
[WIP] Radium is an open-source LLM proxy gateway built for resource efficiency and high performance.
A comprehensive Retrieval-Augmented Generation (RAG) application for chatting with documents.
MLOps and LLMOps Crash Course - A comprehensive guide to production ML systems
API Cookbook for Models (chat, function calling, JSON mode, vision, audio) with examples in multiple languages, included tests, and basic latency/cost benchmarks between providers
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