Small Harness adds verbose mode for agents
Morgan Linton shared a series of updates to Small Harness, a local agent harness for small language models, highlighting verbose mode as a key developer experience improvement. This addition aims to help developers debug, understand, and optimize how local agents execute tool calls.
A verbose mode is essential for developing local agent workflows, where small models frequently struggle with tool calling formatting.
- –Exposing the underlying LLM's raw token generation and tool calling logic aids prompt engineering and system instruction tweaks.
- –Enables more precise context window management for resource-constrained local environments.
- –Helps verify that fallback parser strategies (like inline JSON detectors) are working as expected.
DISCOVERED
1h ago
2026-06-05
PUBLISHED
2h ago
2026-06-05
RELEVANCE
AUTHOR
morganlinton