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Large Workflows with Local LLMs

ID: 402b3cbc-dccd-51d3-857f-b3a68642880c

STIX ID: report--402b3cbc-dccd-51d3-857f-b3a68642880c

Feed Name: TrustedSec blog

Date Published: 2026-06-25

Date Updated: 2026-07-18

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## 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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