Leonardo.ai API
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Updated
Jul 15, 2026 - Python
The AsyncAPI Specification (AAS), is a specification for a programming language-agnostic, machine-readable interface definition language for describing, producing, consuming, and visualizing event-driven services.
AsyncAPI documents describe API services and are represented in YAML or JSON formats.
Leonardo.ai API
🚀 Production-grade FastAPI template • JWT auth • Rate limiting • Async PostgreSQL & Redis • OpenTelemetry observability (Prometheus, Grafana, Tempo) • Alembic • Docker • Gunicorn + Uvicorn • Async Ready • RFC-Compliant API Responses • Enterprise Security Patterns
Turn your Django Channels consumers into interactive AsyncAPI 3.0 documentation.
An asynchronous REST API for scalable computer vision inference using FastAPI, Celery, Redis, and Hugging Face.
Automatically extract lyrics from any audio file using vocal isolation, speech-to-text, and acoustic fingerprinting
Codegen-driven async ML API platform on Kubernetes: BentoML, Redis, KrakenD, PostgreSQL usage tracking. Multi-service SEM image classification.
Production-ready Link Tracker API built with FastAPI: track updates from GitHub, Stack Overflow, RSS, blogs, and web pages with JWT auth, background checks, and extensible notifications.
Sora 2 API, Veo API, and AI video generation API Python examples with async polling, resume support, and budget limits.
FastAPI-based ToolServer for OmniBioAI — provides validated, asynchronous execution APIs for bioinformatics tools. Accepts tool invocation requests, validates inputs against declared schemas, executes tools in isolation, and returns structured results. Acts as the execution boundary between the platform and individual tools.
Collection of AI engines (apis) and utils
An AI-powered system that semantically merges code across multiple programming languages (Python, JavaScript, Java, Go) using a 6-agent LLM pipeline powered by Groq (LLaMA-3.3-70b). The system analyzes, plans, fuses, fixes, tests, & reviews code automatically reducing rewrite costs and ensuring cross-language compatibility in large-scale software.
Codegen-driven async ML API platform on Kubernetes: BentoML, Redis, KrakenD, PostgreSQL usage tracking. Multi-service SEM image classification.
Production-ready AI-powered transaction processing pipeline with asynchronous job orchestration, anomaly detection, LLM classification, and structured financial analytics.
A high-performance URL shortener built with FastAPI, PostgreSQL, and Redis. It generates unique short links using Snowflake IDs and Base62 encoding, ensures fast lookups with caching, and prevents cache stampedes via distributed locking. Designed for scalability, low latency, and efficient URL management.
Smart Legal Document Manager built with FastAPI and MongoDB. Supports document version control, diff comparison, async notifications, and metadata management.
Interactive random advice generator web app with instant updates using FastAPI, HTMX, and Tailwind CSS.
OpenAI Python API
AI-powered platform that generates professional cheatsheets from text or images using multi-model GenAI pipeline (LLMs, vision, and image generation).
A production-grade FastAPI backend for PDF document ingestion, parsing, and structured data extraction. Designed with async-first execution, modular service architecture, RESTful APIs, and scalable processing pipelines, enabling document intelligence, legal-tech automation, cloud-native deployment, and AI/LLM-ready backend systems.
Created by AsyncAPI Initiative, Fran Méndez
Released September 20, 2017
Latest release 6 months ago