ollama-refinery-overseer

name	ollama-refinery-overseer
description	Use for local Ollama-first execution with queued multi-agent CLI workflows. Configures auto-tundra for one-human-overseer and many-agent-subscriber code refinery mode.
allowed_tools	["Bash","Read","Edit"]
references	["/Users/studio/rust-harness/scripts/refinery_queue_at.sh","/Users/studio/rust-harness/crates/at-core/src/config.rs","/Users/studio/rust-harness/crates/at-bridge/src/http_api.rs"]

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

ollama serve
ollama pull qwen2.5-coder:14b

2) Configure auto-tundra provider defaults

Edit ~/.auto-tundra/config.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)

# 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:

/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

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.