Salesforce xLAM
Salesforce xLAM is a family of Large Action Models tuned to plan and execute tasks by emitting structured function calls against available APIs rather than producing free-form text.
Description
xLAM is a family of Large Action Models from Salesforce AI Research designed to act as the action engine of AI agents. The models translate user intentions into executable actions and autonomously plan and execute tasks. The function-calling (fc) variants are optimised to return structured, JSON-formatted function calls based on the input query and the available APIs, comparable to the function-calling mode of hosted chat models. They are released for research under a CC BY-NC 4.0 license.
Solution
xLAM is the model at the core of an agent rather than a full runtime. Given a user query and a set of available APIs, an fc-series model produces a structured function call selecting the API and arguments to invoke; the surrounding harness executes the call and can feed the result back for the next step. The model is tuned so its action output follows a JSON function-calling format rather than free text, so downstream code can parse and dispatch the call deterministically.
Primary use cases
- function calling for AI agents
- translating user intent into executable API actions
- structured JSON tool-call generation
- autonomous task planning and execution
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