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AI & LLM Engineering · vLLM · By agentsope

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1

Split a multi-call LM workflow by cognitive load, not by accuracy: let one strong model make the few reasoning decisions and a cheap model do the many mechanical executions (Aider architect+editor…

agentsope/SkillAlchemy436—~3kAutomated safety check: PassMIT2 days ago
2

Neutral, framework-agnostic decision tree for project kickoff: "which agent / RAG / LLM framework should I reach for?" Synthesizes the ecosystem sections of 7 landmark-project SOPs (LangGraph…

agentsope/SkillAlchemy436—~5.8kAutomated safety check: PassMIT2 days ago
3

Cross-engine decision rubric for self-hosting or recommending an LLM serving stack.

agentsope/SkillAlchemy436—~6.1kAutomated safety check: PassMIT2 days ago
4

Project-kickoff rubric for the self-host vs managed-cloud decision — when is running your own inference engine / LLM platform worth the ops cost vs paying per-token for a managed API?

agentsope/SkillAlchemy436—~6.3kAutomated safety check: PassMIT2 days ago
5

Decision SOP for serving LLMs with vLLM. An agent skill from agentsope/SkillAlchemy.

agentsope/SkillAlchemy436—~6.1kAutomated safety check: PassMIT2 days ago