Agent transitions represent the most powerful building block in AgetnticOS. Unlike LLM transitions that process prompts and return responses, Agent transitions execute autonomous AI agents that can make decisions, call tools, and produce entirely new data structures. Key Innovation: Agent transitions have optional presets (agents … …
LLM (Large Language Model) transitions bring the power of AI directly into your agentic processes. They enable natural language processing, text generation, sentiment analysis, entity extraction, and intelligent routing – all orchestrated through simple inscriptions. Key Innovation: LLM transitions use a two-field emit pattern where … …
Command transitions execute shell commands and filesystem operations via the agentic-net-executor service. They enable your Petri nets to interact with the operating system – running scripts, managing files, invoking CLI tools, and integrating with external processes. Command transitions dispatch work to the executor service and … …
HTTP transitions connect your agentic processes to the outside world. They make REST API calls, process responses, handle authentication, implement retry logic, and route results based on HTTP status codes or response content. HTTP transitions call external APIs and emit parsed response data to success … …
The Pass transition is the foundational routing primitive in AgetnticOS Petri nets. It examines token data and decides where each token should go – without transforming it, without calling external systems, without side effects. Think of it as a railway switch operator: tokens arrive, get … …
While Pass transitions route tokens unchanged, Map transitions transform token data through templates. They’re the workhorses of data reshaping – adding fields, removing fields, restructuring, enriching, and preparing data for downstream processing. Map transitions take input token data, apply a template transformation, and emit the … …
AgenticOS introduces a revolutionary capability: Agent Transitions – transitions powered by LLMs that can reason, query, create structures, and even deploy new transitions autonomously. This guide explores the full spectrum of agent capabilities, from simple token processing to self-improving meta-agents. Agent transitions operate under a … …
Pass and Map are the two foundational transition types in AgetnticOS. Understanding their differences is crucial for building effective agentic processes. This guide compares them side-by-side to help you choose the right one. This is the most critical difference: what the when condition evaluates. A … …
AgetnticOS provides six distinct transition types, each designed for specific agentic patterns. Understanding when to use each type is fundamental to building effective agentic processes. Purpose: Route tokens without transforming them – pure decision logic. Purpose: Transform token data through templates – reshape, enrich, restructure. …
The Agent Transition is the core pattern in Agentic-Nets. It’s not an AI that executes everything—it’s an AI that creates the structures it needs and tracks what it’s waiting for. The Central Insight Here’s the key idea that makes Agentic-Nets
