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Agent Actions is a declarative framework for building multi-step agentic workflows. Define your pipeline in YAML: what each step does, what model it uses, what data it sees, how to validate the output. The framework handles orchestration, retries, and batch execution.
The unit of work is the action. Every action is a self-contained task that can be completed by an LLM, a Python tool call, or a human-in-the-loop dashboard.
Agent ActionsDeclarative framework for multi-step LLM workflows
Muizz Kolapoleft a comment
For the past three years I have been working on this as a side project. Two lectures shaped the design more than anything else. Stephen Wolfram: "I see LLMs as kind of an important layer of linguistic user interface... they will be just the linguistic transport layer for the actual content of what's going on." As someone who is always tasked to build data pipelines, that made me think of how we...
Agent ActionsDeclarative framework for multi-step LLM workflows
