alt Hacker NewsIt would help ensure that the model executes its tool call correctly. So if you give Pi a task like booking travel... Pi decides to book a flight, hotel, car. It gets the flight in one go, but then sends "here is the payload : [json blob]" to hotel booking API and the whole thing throws an error and the workflow dies, with partial completion. Forge would catch the error and nudge the model by injecting a message into the conversation history, with a helpful error message "You replied with text, you must call a tool", the model reads it, and submits a tool call.
Big frontier models need this less than small models.
Nice explanation, thank you.
So basically the kind of thing I'd usually be doing manually with small models, over and over again, you just automate that nudging and off they go.
Sometimes LLMs have seemed to me like "computer programs with inertia" and in that frame what your tool does is identify and reduce friction at key points so the wheels can keep spinning.