Merge pull request #103486 from NousResearch/fix/nested-delegate-deadline-and-summary-budget
fix(delegate): nested orchestrators get their workers' results back — delegate_task exempt from the 420 s tool deadline; summary budget uses current prompt, not the session sum
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@@ -769,6 +769,15 @@ def _resolve_sequential_tool_timeout() -> float | None:
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return resolve_timeout("tools.sequential_call", default=_resolve_concurrent_tool_timeout())
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# Tools whose call blocks on a long-running operation that supervises its own liveness: no generic
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# sequential deadline. ``delegate_task`` in a nested orchestrator blocks for the whole batch by design
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# (children carry heartbeats, the stale monitor, and ``delegation.child_timeout_seconds``); under the
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# 420 s deadline every real batch "timed out" while its children ran on as orphans, and the orchestrator
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# spent the following hours polling transcripts (measured: 332 timeouts, ~$4k of orchestrator turns in
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# one run).
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_SEQUENTIAL_DEADLINE_EXEMPT_TOOLS = frozenset({"delegate_task"})
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def _abandoned_sequential_result(agent, ref: _ToolCallRef, message: str, result_cls, **outcome) -> _ManagedToolResult:
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"""Emit the terminal post_tool_call for a worker the sequential runner gave up on
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(timeout / interrupt) and wrap ``message`` in its marker ``result_cls``."""
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@@ -815,7 +824,7 @@ def _run_sequential_tool_execution_middleware(
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"""Run one sequential call on a worker thread under the concurrent executor's deadline.
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Interactive tools (``clarify``) own their wait via ``agent.clarify_timeout``; the
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generic deadline would report ``tool_timeout`` while the prompt is still live."""
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timeout_s = _resolve_sequential_tool_timeout()
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timeout_s = None if function_name in _SEQUENTIAL_DEADLINE_EXEMPT_TOOLS else _resolve_sequential_tool_timeout()
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ref = _ToolCallRef(function_name, function_args, effective_task_id, tool_call_id, middleware_trace)
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kwargs = dict(ref.middleware_kwargs(), execute=execute, scope_block=scope_block, display_index=display_index)
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if function_name in _NEVER_PARALLEL_TOOLS:
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@@ -143,6 +143,9 @@ def record_response_usage(
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# Stash canonical usage for on_turn_complete(); keep the latest call's.
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agent._last_turn_usage = dict(usage_dict)
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# The parent's CURRENT prompt size for headroom math (delegate summary budgets): the
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# aggregator's own prompt, never the MoA-folded total (advisor prompts are not in this context).
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agent._last_prompt_size_tokens = int(aggregator_usage.prompt_tokens or 0)
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# Persist only provider-confirmed context lengths, not probe tiers.
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if getattr(compressor, "_context_probed", False):
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@@ -0,0 +1,13 @@
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"""``delegate_task`` runs a nested orchestrator's whole batch inside one tool call by design, so it must not
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sit under the generic sequential-call deadline: with it, every batch longer than the deadline "timed out"
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while its children kept running as orphans and the orchestrator polled transcripts for hours."""
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from agent import tool_executor as te
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def test_delegate_task_is_exempt_from_the_sequential_deadline():
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assert "delegate_task" in te._SEQUENTIAL_DEADLINE_EXEMPT_TOOLS
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def test_exemption_is_narrow():
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assert "terminal" not in te._SEQUENTIAL_DEADLINE_EXEMPT_TOOLS
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assert "execute_code" not in te._SEQUENTIAL_DEADLINE_EXEMPT_TOOLS
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@@ -13,6 +13,7 @@ import tempfile
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import pytest
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import tools.delegate_tool as dt
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from tools.delegate_tool_results import _MIN_SUMMARY_CHARS, _parent_summary_char_budget
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class _FakeCompressor:
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@@ -22,9 +23,11 @@ class _FakeCompressor:
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class _FakeParent:
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def __init__(self, context_length, used_tokens, max_tokens):
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def __init__(self, context_length, used_tokens, max_tokens, session_total=None):
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self.context_compressor = _FakeCompressor(context_length, max_tokens)
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self.session_prompt_tokens = used_tokens
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# Current prompt size (last call) drives the budget; the cumulative session counter must not.
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self._last_turn_usage = {"prompt_tokens": used_tokens}
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self.session_prompt_tokens = session_total if session_total is not None else used_tokens
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def test_small_summaries_pass_through_untouched():
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@@ -76,3 +79,32 @@ def test_empty_results_is_noop():
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[{"task_index": 0, "status": "failed", "summary": None}],
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_FakeParent(131_000, 1_000, 8_000),
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)
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def test_budget_uses_current_prompt_size_not_the_session_sum():
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"""A long-lived parent has a session sum far past any window while its current prompt is small; the
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budget must follow the current prompt, otherwise every summary collapses to the floor."""
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long_lived = _FakeParent(context_length=200_000, used_tokens=30_000, max_tokens=8_000, session_total=25_000_000)
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fresh = _FakeParent(context_length=200_000, used_tokens=30_000, max_tokens=8_000)
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assert _parent_summary_char_budget(long_lived, 1) == _parent_summary_char_budget(fresh, 1)
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assert _parent_summary_char_budget(long_lived, 1) > _MIN_SUMMARY_CHARS
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def test_unknown_parent_usage_means_static_ceiling_not_zero_context():
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"""Independent-review witness: a parent with no usage yet was treated as 0 tokens used, so a 190K/200K
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prompt got a 384K-char summary budget instead of ~4K."""
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from types import SimpleNamespace
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from tools.delegate_tool_results import _parent_summary_char_budget
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parent = SimpleNamespace(context_compressor=SimpleNamespace(context_length=200_000, max_tokens=0),
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_last_turn_usage=None)
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assert _parent_summary_char_budget(parent, 1) is None
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def test_moa_fold_does_not_inflate_the_parents_prompt_size():
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"""MoA folds advisor prompts into reported usage; the parent's context holds only the aggregator's."""
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from types import SimpleNamespace
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from tools.delegate_tool_results import _parent_summary_char_budget
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cc = SimpleNamespace(context_length=200_000, max_tokens=0)
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folded = SimpleNamespace(context_compressor=cc, _last_turn_usage={"prompt_tokens": 190_000}, _last_prompt_size_tokens=50_000)
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unfolded = SimpleNamespace(context_compressor=cc, _last_turn_usage={"prompt_tokens": 50_000})
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assert _parent_summary_char_budget(folded, 1) == _parent_summary_char_budget(unfolded, 1)
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@@ -222,18 +222,38 @@ def _trim_summary_with_footer(summary: str, cap: int, task_index: int) -> tuple[
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footer_lines.append("─" * 37)
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return head + "\n\n[... middle omitted — see footer ...]\n\n" + tail + "\n".join(footer_lines), spill_path
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def _parent_prompt_size_tokens(parent_agent) -> Optional[int]:
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"""The parent's current prompt size: the aggregator's own last ``prompt_tokens`` (pre-MoA-fold), else
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the last provider usage. ``None`` when no request has completed yet: the caller then applies the
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static ceiling only. Treating "no usage yet" as zero handed a 190K/200K parent a 384K-char budget."""
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size = getattr(parent_agent, "_last_prompt_size_tokens", None)
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if isinstance(size, (int, float)) and size > 0:
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return int(size)
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last_usage = getattr(parent_agent, "_last_turn_usage", None) or {}
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used = last_usage.get("prompt_tokens") if isinstance(last_usage, dict) else None
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if isinstance(used, (int, float)) and used > 0:
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return int(used)
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return None
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def _parent_summary_char_budget(parent_agent, n_summaries: int) -> Optional[int]:
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"""Per-summary char budget from the parent's *remaining* context headroom (context length − prompt tokens − the
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compressor's output reserve), a fraction of it split across the batch at ~4 chars/token. None when the parent's
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context state is unknown — caller then uses the static ceiling only."""
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"""Per-summary char budget from the parent's *remaining* context headroom (context length − the parent's
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current prompt size − the compressor's output reserve), a fraction of it split across the batch at ~4
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chars/token. None when the parent's context state is unknown — caller then uses the static ceiling only.
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"Current prompt size" is the last API call's ``prompt_tokens`` (``_last_turn_usage``), never
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``session_prompt_tokens``: that field is the running SUM over every call in the session, so after a
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few hundred calls it exceeds any context window and every summary collapsed to the 2,000-char floor
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(measured: all 1,393 child summaries in one run, each spilled to disk, the orchestrator working from
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the stub)."""
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try:
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compressor = getattr(parent_agent, "context_compressor", None)
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context_length = getattr(compressor, "context_length", None)
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if not isinstance(context_length, int) or context_length <= 0:
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return None
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used_tokens = getattr(parent_agent, "session_prompt_tokens", 0)
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if not isinstance(used_tokens, (int, float)) or used_tokens < 0:
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used_tokens = 0
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used_tokens = _parent_prompt_size_tokens(parent_agent)
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if used_tokens is None:
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return None # no usage yet and nothing to estimate from: static ceiling only, never "zero context"
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headroom_tokens = context_length - int(used_tokens) - int(getattr(compressor, "max_tokens", 0) or 0)
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if headroom_tokens <= 0:
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return _MIN_SUMMARY_CHARS # parent already over budget: floor only
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