AI_ENGINEERING2 Multi-file Components
Local Ollama & Open-Weights Model Orchestrator
Guide for running offline AI agents against local GPUs and Apple Silicon with Ollama and LangChain.
Author: TRIHEX Architecture Lab
•License: MIT
•Version: 2.1.0
Inert Code Verified · Heuristic Static Security ScannerHeuristic Scanner: LOW Risk
Heuristic static security scanner audited 2 files (2520 bytes). External code. Review before execution.
v2.1.0
Skill Files (2)
Compatible Runtimes
AntigravityClaude CodeCursor
SKILL.md·markdown
# Local Ollama & Open-Weights Model Orchestrator Deploying and querying local Llama 3.3, DeepSeek-R1, and Qwen2.5 with zero API cost and private data custody. ## Core Invariants & Rules 1. Point base URL to http://localhost:11434/v1 with temperature: 0.1 for deterministic logic. 2. Verify input validation and security boundaries on all executions. 3. Keep configurations modular, typed, and auditable. ## Operational Workflow 1. Analyze requirements against existing codebase patterns. 2. Apply standardized implementation templates. 3. Execute verification suites before deployment.