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---
name: agilab-local-llm
description: Guidance for using local LLM backends (Ollama/GPT-OSS) inside AGILAB with correctness-first prompts.
license: BSD-3-Clause (see repo LICENSE)
metadata:
updated: 2026-01-09
---
# Local LLM Skill (AGILAB)
Use this skill when working on local/offline engines or prompts.
## Correctness-First Defaults
- Prefer deterministic settings for code edits (lower temperature, explicit constraints).
- Require the model to return:
- file list to edit
- exact patch intent
- tests/commands to validate
## No Silent Fallbacks
- Detect missing local endpoints/models up-front and surface an actionable error.
- Do not auto-switch APIs or rewrite parameters silently.
## Ollama Notes
- Let users select:
- model name
- temperature/top_p/top_k
- max tokens
- seed (if supported)
- “auto-run/auto-fix” loop guardrails (max iterations, stop on failure)
