ollama-refinery-overseer

# Ollama Refinery Overseer ## Trigger Use this skill when running local-first workflows with many agent workers and one human overseer. ## Goals 1. Route model calls to local Ollama. 2. Enforce queueing to avoid GPU/model contention. 3. Execute CLI submissions through a serialized wrapper. ## One-time Setup ### 1) Start Ollama and pull a coding model ```bash ollama serve ollama pull qwen2.5-coder:14b ``` ### 2) Configure auto-tundra provider defaults Edit `~/.auto-tundra/config.toml`: ```toml [providers] local_base_url = "http://127.0.0.1:11434" local_model = "qwen2.5-coder:14b" local_api_key_env = "LOCAL_API_KEY" ``` ### 3) Queue controls (critical) ```bash # Queue local LLM calls (at-intelligence LocalProvider) export AT_LOCAL_LLM_MAX_CONCURRENT=1 # Queue task pipeline execution in API layer export AT_PIPELINE_MAX_CONCURRENT=1 ``` ## Queue-safe CLI usage Always submit via the wrapper: ```bash /Users/studio/rust-harness/scripts/refinery_queue_at.sh run -t "Refinery task" --dry-run -j /Users/studio/rust-harness/scripts/refinery_queue_at.sh agent run -r qa-reviewer -t "Refinery review" --dry-run -j ``` ## Queue observability ```bash curl -s http://localhost:9090/api/pipeline/queue | jq . ``` Expected fields: - `limit` - `waiting` - `running` - `available_permits` ## Overseer pattern - Human creates/refines priorities. - Agent subscribers submit tasks through `refinery_queue_at.sh`. - Queue gate ensures local model stability. - Overseer checks queue pressure and adjusts throughput via env vars.