FlowOS transition types and inscription language documentation
The recipe behind Hermann: install Agentic-Nets (Desktop Lite or Docker Compose), connect Claude Code, and give six prompts in order, each ending with a proof on the live runtime. The prompts verbatim, the traps, the pictures, and what it cost. …
Watching the Meter: How We Analyze an Agent Team’s Token Cost and Dial It Down An always on agent team is a living thing, and living things eat. The interesting question is never “is it spending tokens” but “which parts,
How AgenticOS Tools Actually Run An agent net can do a lot with its built in transitions, but sooner or later it needs to reach outside itself: call a weather API, render a PDF in a container, run a maintenance
Shared Places – How Two Agentic-Nets Talk Through a Single Token Pool What if two completely separate workflow nets could communicate without APIs, message queues, or event buses? Just by pointing at the same place? This is the story of
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 … …
Template interpolation is how AgetnticOS transitions access and transform token data. Using ${…} syntax, you can reference input token fields, metadata, and build dynamic outputs in Map templates, HTTP bodies, LLM prompts, and more. Templates use hierarchical paths to access token data and metadata: Understanding … …
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 … …
ArcQL (Arc Query Language) is AgetnticOS’s query language for selecting tokens from places. Every transition preset uses ArcQL to specify which tokens to consume, making it fundamental to understanding how tokens agentic through your Petri nets. Key Rule: All paths must start with $ (the … …
