pretty interesting, this new NVIDIA framework represents agents as python…
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pretty interesting, this new NVIDIA framework represents agents as python objects, so the actions the agent can take are functions, fields are agent states, prompts are docstrings, and deterministic code it can run, alongside non deterministic "..." that the agent will write some code to solve and give you back a return value for I'm really curious how well this works in practice and if any big models end up getting RL'ed / fine tuned with this harness going to try it myself tomorrow and see
Context
NVIDIA's Object Oriented Agents framework puts an 's stored information, available actions and instructions into a Python class. The repository explains that ordinary method bodies run as regular code, while designated methods hand work to a .
The support-agent example shared in the original post makes that division concrete: refund eligibility has an explicit code rule, while model-directed methods classify a message and assemble a support ticket. Developers can therefore keep a known business rule explicit while using a model for interpretation. The post presents the design as something to try, rather than reporting that the author tested it successfully.
- AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
- LLM — A large language model — the neural network behind tools like Claude and ChatGPT, trained on huge amounts of text to predict what comes next.
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