Large Workflows with Local LLMs
ID: 402b3cbc-dccd-51d3-857f-b3a68642880c
STIX ID: report--402b3cbc-dccd-51d3-857f-b3a68642880c
Feed Name: TrustedSec blog
## Executive summary — This post describes the design, implementation, and testing of a lightweight Python library (TS_LLMLib) and example scripts to orchestrate local LLMs and MCP endpoints for tasks such as Ghidra-based function annotation and C/C++ file scanning; it focuses on context-size limits, tool sandboxing, retry/timeouts, and practical test outcomes rather than describing an active cyber incident.
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