axium-lab/llm-mock

🤖 AI-Mocks is a Kotlin-based toolkit for mocking and testing LLM APIs with real streaming and SSE support. Simulate OpenAI, Anthropic, Gemini, Ollama, and A2A services locally for reliable integration testing.

Mock everything your AI app talks to — LLM APIs, MCP, A2A, AG-UI, vector DBs, search. One package, one port, zero dependencies.

LLM infradebugging and diagnostic tool

Verify which LLM an OpenAI-compatible API really serves — single-token behavioral fingerprinting (Jensen-Shannon) from the paper "One Token Is Enough" (arXiv:2607.10252). Zero-dependency TypeScript library + CLI. Catches model substitution by resellers & gateways.

A tool to test AI API Gateway/Router to make sure the model is authentic

A lightweight, configurable, and real-time simulator designed to mimic the behavior of vLLM without the need for GPUs or running actual heavy models.

Zero trust LLM gateway. OpenAI-compatible proxy with semantic routing and load balancing across OpenAI, Anthropic, Ollama, vLLM, and any compatible backend. Identity-based access, virtual API keys, and end-to-end encryption via OpenZiti

Model authenticity / dilution detection CLI: one command, one report. Detect fake or watered-down LLM endpoints via identity, context, tokenizer, capability and latency checks.

The fastest, litest AI Gateway. Rust core with Python SDK. Call 100+ LLM APIs in OpenAI (or native) format with cost tracking, guardrails, load balancing, and logging [Bedrock, Azure, OpenAI, Anthropic, OpenAI, VertexAI, vLLM, Nvidia NIM]