| name | delegating-to-local-llm |
| description | Delegates a task to a local LLM running as a Pi coding-agent session in a herdr pane - the subagent is visible in herdr, can be steered mid-session, and costs no cloud tokens. Use when delegating work to a local model, spawning a Pi subagent, offloading a task to omlx (qwen, gemma), or running agent work offline. Not for Claude Code's own Agent tool or subagents inside Pi. |
Delegating to a Local LLM
The subagent is an interactive Pi session pinned to a local omlx model, spawned in a herdr pane. herdr provides the whole control loop — spawn, state, read, send — and Pi's herdr integration reports working/blocked/idle automatically. The session stays visible and steerable; you own acceptance of its work.
Preflight
uname -m
KEY=$(jq -r .auth.api_key ~/.omlx/settings.json)
curl -s --max-time 3 -H "Authorization: Bearer $KEY" http://127.0.0.1:8000/v1/models
which pi && herdr agent list >/dev/null && echo ok
- curl fails ->
omlx start; succeeds but lists no models -> models need downloading
pi or herdr missing, not arm64, or first run on this machine -> walk the user through references/setup.md
Delegate
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Pick the model from the /v1/models response. The user's named choice wins; otherwise ask which model they prefer for the task. Memory headroom is model- and machine-specific: if omlx's prefill guard aborts mid-task ("Prefill context too large for available memory"), the model cannot handle the accumulated context on this machine — restart the task on a lighter model.
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Spawn — short kebab task name; cwd is the project the task touches. Pin the pane to your own workspace — spawning defaults to whichever workspace the user has focused at that moment, which may not be yours:
WS=$(herdr pane get "$HERDR_PANE_ID" | jq -r '.result.pane.workspace_id')
herdr agent start <task-name> --cwd <dir> --workspace $WS --no-focus -- omlx launch pi --model <model-id> --api-key $KEY
Capture pane_id from the JSON response. (omlx launch also rewrites Pi's omlx provider config, so it is always current.)
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Wait ready: herdr agent wait <task-name> --status idle --timeout 30000
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Send the task, then submit it:
herdr agent send <task-name> "<task>"
sleep 1 && herdr pane send-keys <pane-id> enter
Task text is literal and single-line — shell-quote it, and make it self-contained: goal, relevant paths, done-criterion. Local models do best with one focused task.
Confirm submission with herdr agent wait <task-name> --status working --timeout 15000. A timeout usually means the Enter fired before the TUI was ready — send Enter again and re-wait; if it still hasn't started, read the pane to see what state the input is in.
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Wait for completion: herdr agent wait <task-name> --status idle --timeout 600000 (10 min default — local generation is slow; scale to the task). The wait resolves on the next status change; read the status it reports: done means the run finished, blocked means Pi is asking a question (read the pane, answer via send + enter, wait again), errors also end in done — so always verify.
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Verify: herdr agent read <task-name> --lines 60 for the subagent's account, then check the actual outputs (files, command results) yourself. Acceptance is your judgement, not its claim.
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Steer if needed: repeat steps 4–5 into the same live session.
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Hand over: summarise the result, leave the pane open, and tell the user the agent name — they can jump to it with herdr agent focus <task-name>. Close only when the user is done: herdr pane close <pane-id>.
Guardrails
- One local subagent at a time — the model occupies unified memory.
- Delegate self-contained tasks, not conversations that need your session's context.