Flyte

Flyte is an open-source AI orchestration platform designed to help developers and data scientists build, deploy, and manage complex machine learning and generative AI workflows at scale. Written entirely in Python, Flyte provides a unified environment for defining durable, observable, and reproducible AI pipelines, from model training to serving. The platform enables users to construct agent-based systems with full observability, supporting the creation of long-running, stateful agents that can interact with external tools and APIs. Core to Flyte is its task-based abstraction: users define tasks as pure Python functions, which are then composed into workflows that can run on local machines, in the cloud, or across hybrid infrastructure. Flyte manages all aspects of execution, including automatic resource allocation, retries, error handling, and parallelization, without requiring users to manage low-level infrastructure. The platform includes a built-in scheduler and dependency resolver, allowing workflows to trigger based on time, events, or data changes. For AI applications, Flyte offers native integrations with popular libraries such as LangChain, OpenAI, and Hugging Face, and supports custom agents through its pluggable agent system. Users can define agents that run in isolated environments with specific Python packages, compute resources (CPU/memory), and secrets (e.g., API keys) managed securely via Flyte's secret store. Each agent can be instrumented with detailed observability, including logs, metrics, and tracing, enabling debugging and performance optimization. Flyte also provides a web-based UI for monitoring workflow executions, viewing resource consumption, and inspecting task outputs. The platform is designed to handle batch inference, online serving, and d