Text generation

Basic generation#

val ok = LlamaBridge.initGenerateModel(modelPath)
check(ok)

val answer = LlamaBridge.generate("Explain Llamatik in one sentence.")

With context (system + context + user)#

Use generateWithContext when you want a chat-style prompt:

val system = "You are a helpful assistant."
val context = "Project: Llamatik is a Kotlin-first llama.cpp integration."
val user = "Write a short README intro."

val text = LlamaBridge.generateWithContext(system, context, user)

Cancel generation#

If you need to stop generation (for example on screen close):

LlamaBridge.nativeCancelGenerate()

(See also Streaming for incremental output.)