delegate_task gains a control plane: action='list' / 'steer' / 'stop'
let the parent agent see, redirect, and early-stop its own running
subagents mid-flight — the model-facing counterpart of the TUI's
delegation.pause / subagent.interrupt / subagent.steer RPCs.
- action='list': live children of this conversation's spawn tree
(ids, goal, status, running_seconds, accepting_steer, live
transcript path). Ownership is enforced via a _delegate_parent_ref
weakref chain stamped at child build time, so a conversation can
only control its own descendants, never a sibling tree.
- action='steer': queues text into a running child via the existing
steer_subagent() registry path (delivered at the child's next tool
boundary; missed steers surface as missed_steer in the completion).
- action='stop': interrupt_subagent() — child stops at its next
iteration boundary, partial result still re-enters as a completion.
- Spawn dispatch response now includes subagent_ids + control hint.
- Control actions run synchronously (never backgrounded) and bypass
the spawn pause gate and depth limit; they also never consume the
per-turn subagent spawn cap, and remain usable once the cap is hit
(that is when stop matters most).
- Small-model robustness (found live with gpt-5.4-mini on Nous
Portal): tasks=[] alongside goal no longer trips the "Batch mode
requires at least 2 tasks" gate — treated as single-goal.
- CLI display: control calls render as "steer sa-…" / "list" instead
of an empty goal.
Live-tested E2E on Nous Portal (fable-5 + gpt-5.4-mini): full
spawn→list→steer→stop cycle, plus a steer-efficacy run where the
child acked the steer mid-essay and switched topics before finishing.
Per Teknium: the caps should bound a single agent loop, not accumulate
over the whole session. Rename SessionCapConfig -> LoopCapConfig and the
config section session_caps -> loop_caps; move the counters into
reset_for_turn (invoked per turn via turn_context) so each turn starts
with a fresh budget; retune defaults 200 -> 50 (a single turn issuing 50
web searches / spawning 50 subagents is already pathological). Block
codes session_*_cap -> loop_*_cap and messages updated to drop the
/new-resets-the-budget guidance (irrelevant now that it resets per turn).
Tests flipped: the old persists-across-turn-resets assertion becomes
resets-each-turn.
Add per-session lifetime caps on web_search calls and subagent spawns
(defaults 200/200, matching Claude Code v2.1.212). Unlike the existing
per-turn tool-loop guardrails, these count over the whole session and
reset only when a fresh agent is built (/new, /clear). Hitting a cap
blocks the offending call and halts the turn cleanly.
- agent/tool_guardrails.py: SessionCapConfig + session counters on the
controller (in __init__, not reset_for_turn, so they persist across
turns). before_call() enforces caps first, independent of
hard_stop_enabled. delegate_task batches count each task.
- hermes_cli/config.py: tool_loop_guardrails.session_caps defaults.
- docs + tests (unit + E2E validated against a real AIAgent).
Tool results scraped from the web/social platforms can carry unpaired
UTF-16 surrogates (e.g. half of a mathematical-bold character pair).
_sha256() did a strict utf-8 encode, which raises UnicodeEncodeError on
that input and took down the whole conversation loop — the hash only
needs deterministic bytes, not valid UTF-8, so encode with
surrogatepass instead.
The initial guardrail PR consolidated failure classification by pointing
display._detect_tool_failure at the new classify_tool_failure helper,
which was strictly broader: it flagged any JSON result with
"success": false / "failed": true / non-empty "error", plus plain-text
"traceback" and "error:" prefixes. That would uptick the user-visible
[error] tag on tools that return {"success": false} as a benign signal
(memory fullness, todo state, etc.) and feed the failure-streak counter
at the same time.
Restore display._detect_tool_failure to its pre-PR semantics verbatim.
Tighten classify_tool_failure (the guardrail's internal safety-fallback
used only when callers don't pass failed=) to match _detect_tool_failure
exactly, so the two never disagree. Production callers in run_agent.py
already pass an explicit failed= derived from _detect_tool_failure, so
the guardrail counter is driven by the same signal the CLI shows.
Teknium