llama.cpp Updates Tool Call Detection for Muse Glimmer

The fix in llama.cpp b10380 addresses a fundamental issue in agent workflows where Muse Glimmer was incorrectly handling tool calls within single assistant messages. When models generate both conversational responses and tool invocations simultaneously—a common pattern in agent architectures—the parser was swallowing trailing tool calls into content, breaking downstream tool execution logic.

This bug fix is critical for practitioners deploying local agents, as tool calling is central to building capable autonomous systems. By correcting the parsing logic, developers can now reliably deploy multi-turn agent applications using Muse Glimmer with llama.cpp, expanding the scope of complex workflows possible entirely on-device.

Read the full article on llama.cpp release.

Source: llama.cpp release · Relevance: 8/10