Is there an existing way to specify a different LoRA configuration for each sub-agent during training?
Currently, the agent_match parameter in the Trainer can select which sub-agents are trained. Howerver, is it possible to config which sub-agents use which LoRAs?
import agentlightning as agl
trainer = agl.Trainer(
...,
adapter={"agent_match": "a regex pattern for trained sub-agents"}
)
Related issue: #110