682 lines
30 KiB
Python
682 lines
30 KiB
Python
"""Post-loop turn finalization for ``run_conversation``.
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Budget summary, trajectory save, persist, diagnostics, response transforms, result
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assembly, steer drain, memory/skill review. Synchronous, single return. ``logger`` is
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imported lazily from ``agent.conversation_loop`` (no cycle, same logger name)."""
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from __future__ import annotations
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import logging
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import os
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from typing import Any, Callable, List, Optional, Tuple
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from agent.codex_responses_adapter import _summarize_user_message_for_log
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from agent.context_compressor import _DB_PERSISTED_MARKER
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from agent.message_content import flatten_message_text
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from agent.message_metadata import append_message, stamp_message_timestamp
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from agent.message_sanitization import _sanitize_surrogates
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# Verification-continuation nudges (verify-on-stop / pre_verify) must be stripped from
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# returned/live history to avoid role-alternation breaks; the assistant response is
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# real content and is not flagged. (#65919)
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_VERIFICATION_CONTINUATION_FLAGS = (
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"_verification_stop_synthetic",
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"_pre_verify_synthetic",
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)
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_SENTENCE_END = {".", "!", "?", "。", "！", "？", "`", ")"}
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def _assistant_row_missing_visible_text(msg: dict) -> bool:
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"""True when an assistant row has no visible text (blank final or tool-only)."""
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if not isinstance(msg, dict) or msg.get("role") != "assistant":
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return False
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return not flatten_message_text(msg.get("content")).strip()
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def _is_pure_tool_call_tail(msg: dict) -> bool:
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"""Assistant row with ``tool_calls`` but no visible text of its own."""
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if not isinstance(msg, dict) or not msg.get("tool_calls"):
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return False
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return _assistant_row_missing_visible_text(msg)
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def _fill_assistant_tail_content(agent, tail: dict, final_response) -> None:
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"""Write delivered text onto an already-persisted blank assistant row."""
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tail["content"] = final_response
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stamp_message_timestamp(tail)
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tail.pop(_DB_PERSISTED_MARKER, None)
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agent._db_flush_scan_prefix = None
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def _record_kanban_budget_exhausted(
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kanban_task: str,
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api_call_count: int,
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max_iterations: int,
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logger: logging.Logger,
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) -> None:
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"""Record a terminal ``timed_out`` outcome for a kanban worker out of budget.
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Routed via ``_record_task_failure`` (not ``kanban_block``) so it counts toward the
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consecutive-failure circuit breaker (#29747). Idempotent via the ``_end_run`` CAS
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(``WHERE ended_at IS NULL``): a no-op if another path already closed the run, so
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safe from multiple exit paths (#87096)."""
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try:
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from hermes_cli import kanban_db as _kb
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_conn = _kb.connect()
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try:
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_kb._record_task_failure(
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_conn,
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kanban_task,
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error=(
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f"Iteration budget exhausted "
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f"({api_call_count}/{max_iterations}) — "
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"task could not complete within the allowed "
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"iterations"
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),
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outcome="timed_out",
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release_claim=True,
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end_run=True,
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event_payload_extra={
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"budget_used": api_call_count,
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"budget_max": max_iterations,
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},
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)
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finally:
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try:
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_conn.close()
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except Exception:
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pass
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except Exception:
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logger.warning(
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"Failed to record budget-exhausted failure for task %s",
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kanban_task,
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exc_info=True,
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)
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def _drop_verification_continuation_scaffolding(messages) -> None:
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"""Remove verification-continuation nudge messages from *messages* in place.
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Only the synthetic nudges carry these flags, so the real attempted-final-answer
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persisted to state.db survives."""
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messages[:] = [
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m for m in messages
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if not (isinstance(m, dict) and any(m.get(f) for f in _VERIFICATION_CONTINUATION_FLAGS))
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]
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def _clone_background_review_messages(messages):
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"""Copy the review input without aliasing the live transcript."""
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# Import lazily: conversation_loop imports this module during turn
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# finalization, so a module-level import would create a cycle.
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from agent.conversation_loop import _clone_message_for_send
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return [_clone_message_for_send(message) for message in messages]
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def _invoke_hook_safely(name: str, logger: logging.Logger, **kwargs) -> list:
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"""Fire a lifecycle plugin hook; a failing hook is logged, never fatal."""
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try:
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from hermes_cli.lifecycle import invoke_hook
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return invoke_hook(name, **kwargs)
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except Exception as exc:
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logger.warning("%s hook failed: %s", name, exc)
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return []
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def _guarded_cleanup(label: str, fn: Callable[[], Any], errors: List[str], logger) -> None:
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"""Post-loop cleanup must never lose the response: each step is guarded
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independently and errors surface via ``cleanup_errors`` (#8049)."""
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try:
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fn()
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except Exception as err:
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errors.append(f"{label}: {err}")
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logger.error("finalize_turn: _%s failed: %s", label, err, exc_info=True)
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def _resolve_budget_fallback(
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agent,
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*,
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final_response,
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api_call_count,
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interrupted,
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failed,
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messages,
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_turn_exit_reason,
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_pending_verification_response,
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_pending_verification_response_previewed,
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logger,
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) -> Tuple[Any, Any, bool]:
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"""Iteration-budget exhaustion. Returns ``(final_response, _turn_exit_reason,
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preserved_verification_fallback)``."""
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budget_exhausted = (
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api_call_count >= agent.max_iterations
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or agent.iteration_budget.remaining <= 0
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)
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budget_fallback_eligible = (
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budget_exhausted
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and not interrupted
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and not failed
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and str(_turn_exit_reason) in {"unknown", "budget_exhausted"}
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)
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preserved_verification_fallback = False
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if final_response is None and budget_fallback_eligible:
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_turn_exit_reason = f"max_iterations_reached({api_call_count}/{agent.max_iterations})"
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if _pending_verification_response:
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# A verification gate withheld a composed answer, then the budget ran out:
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# preserve it rather than make another fallible call. The explicit pending
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# value is the provenance guard; unrelated error exits never enter here.
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final_response = _pending_verification_response
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# Previewed only if the reused candidate was actually streamed as interim.
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if _pending_verification_response_previewed:
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agent._response_was_previewed = True
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preserved_verification_fallback = True
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else:
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# _handle_max_iterations makes one extra toolless request for a summary.
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agent._emit_status(
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f"⚠️ Iteration budget exhausted ({api_call_count}/{agent.max_iterations}) "
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"— asking model to summarise"
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)
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if not agent.quiet_mode:
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agent._safe_print(
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f"\n⚠️ Iteration budget exhausted ({api_call_count}/{agent.max_iterations}) "
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"— requesting summary..."
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)
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final_response = agent._handle_max_iterations(messages, api_call_count)
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if budget_exhausted:
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# A kanban worker must record a terminal outcome whether or not a fallback
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# path was eligible, so the dispatcher learns the worker could not complete.
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_kanban_task = os.environ.get("HERMES_KANBAN_TASK")
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if _kanban_task:
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_record_kanban_budget_exhausted(
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_kanban_task, api_call_count, agent.max_iterations, logger,
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)
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return final_response, _turn_exit_reason, preserved_verification_fallback
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def _rollback_interrupted_preflight_display(agent, interrupted) -> None:
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"""Roll back the preflight-seeded display count only when an interrupt wins before
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any provider response; compaction state (incl. ``-1``) stays with the real-usage
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path. Type-pinned guards keep MagicMock/SimpleNamespace doubles inert."""
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_preflight_snapshot = getattr(agent, "_turn_preflight_display_snapshot", None)
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if (
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interrupted is True
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and isinstance(_preflight_snapshot, int)
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and not isinstance(_preflight_snapshot, bool)
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and getattr(agent, "_turn_received_provider_response", False) is not True
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and getattr(agent, "context_compressor", None) is not None
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):
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_rollback_fn = getattr(
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agent.context_compressor,
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"rollback_interrupted_preflight_display_tokens",
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None,
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)
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if callable(_rollback_fn):
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_rollback_fn(_preflight_snapshot)
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def _close_transcript_tail(agent, messages, final_response, interrupted, failed):
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"""Shape the transcript tail before the durable snapshot; returns the (possibly
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stream-recovered) ``final_response``."""
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# Strip private retry scaffolding first, or a later "continue" replays
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# assistant("(empty)") / recovery nudges into the same empty-response loop. Only
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# the synthetic verification nudges go; the assistant candidate persists (#65919).
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agent._drop_trailing_empty_response_scaffolding(messages)
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_drop_verification_continuation_scaffolding(messages)
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# An empty terminal completion is not authoritative when the stream already
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# delivered text; recover before persist so a blank tail isn't frozen (#95514).
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_recovered_from_stream = False
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if not interrupted and not failed:
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_streamed = getattr(agent, "_current_streamed_assistant_text", "") or ""
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_streamed = _streamed.strip() if isinstance(_streamed, str) else ""
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_final_visible = flatten_message_text(final_response).strip() if final_response else ""
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if not _final_visible and _streamed:
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final_response = _streamed
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_recovered_from_stream = True
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# An interrupt can leave a tool result as the tail (no scaffolding flag rewinds
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# it); close the sequence so strict providers don't see ``tool → user``. An
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# explicit placeholder is used since final_response is usually empty (#48879).
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if interrupted:
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from agent.message_sanitization import close_interrupted_tool_sequence
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close_interrupted_tool_sequence(messages, final_response)
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# Recovery ``break`` sites can return a final_response with no closing assistant
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# row; enforce "delivered final_response ⇒ assistant row" here. Compare content,
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# not role, so a matching verification candidate isn't dup'd.
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if final_response and not interrupted:
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try:
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_tail = messages[-1] if messages else None
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except Exception:
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_tail = None
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_tail_role = _tail.get("role") if isinstance(_tail, dict) else None
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if _tail_role != "assistant":
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# Append so the durable turn closes with the answer (#43849/#44100).
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append_message(messages, {"role": "assistant", "content": final_response})
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elif (
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isinstance(_tail, dict)
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and _tail.get("content") != final_response
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and (
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_is_pure_tool_call_tail(_tail)
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or (_recovered_from_stream and _assistant_row_missing_visible_text(_tail))
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)
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):
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# Pure tool-call turn or stream-recovered blank (#95514): fill its content
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# rather than append a second row.
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_fill_assistant_tail_content(agent, _tail, final_response)
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# Request is complete, so replace API-local voice/model/skill guidance with the
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# clean user input before the durable snapshot; earlier flushes used the DB-only
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# override as their messages were still needed (#48677 / #63766).
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_apply_override = getattr(agent, "_apply_persist_user_message_override", None)
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if callable(_apply_override):
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_apply_override(messages)
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return final_response
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def _micro_compact_after_turn(agent, messages, final_response, logger) -> None:
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"""Post-turn micro-compaction: absorb the oldest uncompacted exchange into the
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rolling summary before persist, amortizing compression across turns."""
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try:
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_compressor = getattr(agent, "context_compressor", None)
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# Strict `is True` + isinstance gates: plugin context engines and MagicMock
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# compressors pass duck checks and would wipe the transcript.
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if (
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_compressor
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and getattr(_compressor, '_micro_compact_enabled', False) is True
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and callable(getattr(_compressor, '_micro_compact', None))
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and final_response
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# No checkpoint hook, so never run while compression.checkpoint_required
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# is armed.
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and getattr(agent, "compression_checkpoint_required", False) is not True
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# Persistence-isolated agents (background review fork) must not
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# micro-compact: it burns an aux-LLM call on a throwaway transcript and
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# could archive_and_compact the CANONICAL session rows.
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and not getattr(agent, "_persist_disabled", False)
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):
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_before = len(messages)
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_compacted = _compressor._micro_compact(messages)
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# Defrag rewrites the newest MICRO marker in place and pops _db_persisted;
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# the compressor flags us to invalidate the flush-scan cursor, else the
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# rewritten row is identity-skipped (stale).
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if getattr(_compressor, "_flush_scan_cursor_invalidated", False):
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_compressor._flush_scan_cursor_invalidated = False
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agent._db_flush_scan_prefix = None
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if isinstance(_compacted, list) and _compacted:
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messages[:] = _compacted
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_after = len(messages)
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if _before != _after:
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logger.info("Micro-compaction: %d -> %d messages", _before, _after)
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except Exception as _mc_err:
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logger.info("Micro-compaction failed: %s", _mc_err)
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def _log_turn_exit(agent, messages, final_response, api_call_count, _turn_exit_reason, interrupted, logger) -> None:
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"""Always INFO so agent.log captures WHY every turn ended; WARNING when the last
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message is a tool result (the "just stops" scenario)."""
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_last_msg_role = messages[-1].get("role") if messages else None
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_last_tool_name = None
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if _last_msg_role == "tool":
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# Walk back to the assistant message with the tool call.
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for _m in reversed(messages):
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if _m.get("role") == "assistant" and _m.get("tool_calls"):
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_tcs = _m["tool_calls"]
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if _tcs and isinstance(_tcs[0], dict):
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_last_tool_name = _tcs[-1].get("function", {}).get("name")
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break
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_turn_tool_count = sum(
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1 for m in messages
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if isinstance(m, dict) and m.get("role") == "assistant" and m.get("tool_calls")
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)
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_diag_msg = (
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"Turn ended: reason=%s model=%s api_calls=%d/%d budget=%d/%d "
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"tool_turns=%d last_msg_role=%s response_len=%d session=%s"
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)
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_diag_args = (
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_turn_exit_reason, agent.model, api_call_count, agent.max_iterations,
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agent.iteration_budget.used if agent.iteration_budget else 0,
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agent.iteration_budget.max_total if agent.iteration_budget else 0,
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_turn_tool_count, _last_msg_role, len(final_response) if final_response else 0,
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agent.session_id or "none",
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)
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if _last_msg_role == "tool" and not interrupted:
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logger.warning(
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"Turn ended with pending tool result (agent may appear stuck). "
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+ _diag_msg + " last_tool=%s",
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*_diag_args, _last_tool_name,
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)
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else:
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logger.info(_diag_msg, *_diag_args)
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def _append_file_mutation_footer(agent, final_response, logger):
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"""If ``write_file`` / ``patch`` calls failed and were never superseded by a
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successful write to the same path, append an advisory so over-claiming is
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surfaced."""
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try:
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_failed = getattr(agent, "_turn_failed_file_mutations", None) or {}
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if _failed and agent._file_mutation_verifier_enabled():
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footer = agent._format_file_mutation_failure_footer(_failed)
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if footer:
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final_response = final_response.rstrip() + "\n\n" + footer
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except Exception as _ver_err:
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logger.debug("file-mutation verifier footer failed: %s", _ver_err)
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return final_response
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def _explain_abnormal_exit(agent, final_response, _turn_exit_reason, preserved_verification_fallback, logger):
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"""Turn-completion explainer: on abnormal exits, surface one explanation from
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``_turn_exit_reason``. Only acts when no usable reply exists (empty, "(empty)",
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or a short unpunctuated fragment); ``text_response(...)`` exits stay silent."""
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try:
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if not agent._turn_completion_explainer_enabled():
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return final_response
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_stripped = (final_response or "").strip()
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_is_empty_terminal = _stripped == "" or _stripped == "(empty)"
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# A short fragment not from a text_response exit and lacking sentence-ending
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# punctuation is treated as a truncated partial (#34452).
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_is_partial_fragment = (
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not _is_empty_terminal
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and not preserved_verification_fallback
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and not str(_turn_exit_reason).startswith("text_response")
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and len(_stripped) <= 24
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and _stripped[-1:] not in _SENTENCE_END
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)
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if (
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_is_empty_terminal
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or _is_partial_fragment
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or str(_turn_exit_reason) == "partial_stream_recovery"
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):
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_explanation = agent._format_turn_completion_explanation(
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_turn_exit_reason,
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getattr(agent, "_last_persistence_error_cause", None),
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)
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if _explanation:
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# Replace the bare sentinel; keep a partial fragment and append why.
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final_response = _explanation if _is_empty_terminal else _stripped + "\n\n" + _explanation
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except Exception as _exp_err:
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logger.debug("turn-completion explainer failed: %s", _exp_err)
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return final_response
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def _last_turn_reasoning(messages) -> Optional[Any]:
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"""Reasoning from the CURRENT turn only: stop at this turn's user message (#17055),
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but take the most recent non-empty reasoning since many providers emit it on the
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tool-call step and leave the final step with reasoning=None."""
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for msg in reversed(messages):
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if msg.get("role") == "user":
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return None # turn boundary — don't cross into prior turns
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if msg.get("role") == "assistant" and msg.get("reasoning"):
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return msg["reasoning"]
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return None
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def finalize_turn(
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agent,
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*,
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final_response,
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api_call_count,
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interrupted,
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failed,
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messages,
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conversation_history,
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effective_task_id,
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turn_id,
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user_message,
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original_user_message,
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_should_review_memory,
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_turn_exit_reason,
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_pending_verification_response=None,
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_pending_verification_response_previewed=False,
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):
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"""Run the post-loop finalization and return the turn ``result`` dict."""
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from agent.conversation_loop import logger
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final_response, _turn_exit_reason, preserved_verification_fallback = _resolve_budget_fallback(
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agent,
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final_response=final_response,
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api_call_count=api_call_count,
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interrupted=interrupted,
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failed=failed,
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messages=messages,
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_turn_exit_reason=_turn_exit_reason,
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_pending_verification_response=_pending_verification_response,
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_pending_verification_response_previewed=_pending_verification_response_previewed,
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logger=logger,
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)
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completed = (
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final_response is not None
|
||
and not failed
|
||
and (
|
||
api_call_count < agent.max_iterations
|
||
or str(_turn_exit_reason).startswith("text_response(")
|
||
)
|
||
)
|
||
|
||
_rollback_interrupted_preflight_display(agent, interrupted)
|
||
|
||
_cleanup_errors: List[str] = []
|
||
# ``user_message`` may be a multimodal list of parts; the trajectory format wants
|
||
# a plain string.
|
||
_guarded_cleanup(
|
||
"save_trajectory",
|
||
lambda: agent._save_trajectory(messages, _summarize_user_message_for_log(user_message), completed),
|
||
_cleanup_errors, logger,
|
||
)
|
||
_guarded_cleanup(
|
||
"cleanup_task_resources",
|
||
lambda: agent._cleanup_task_resources(effective_task_id),
|
||
_cleanup_errors, logger,
|
||
)
|
||
# Persist only after the transcript tail is shaped and scaffolding removed.
|
||
try:
|
||
final_response = _close_transcript_tail(agent, messages, final_response, interrupted, failed)
|
||
if not interrupted and not failed:
|
||
_micro_compact_after_turn(agent, messages, final_response, logger)
|
||
agent._persist_session(messages, conversation_history)
|
||
except Exception as _persist_err:
|
||
_cleanup_errors.append(f"persist_session: {_persist_err}")
|
||
logger.error("finalize_turn: _persist_session failed: %s", _persist_err, exc_info=True)
|
||
|
||
# Keep the gateway's separate in-memory history snapshot current even on
|
||
# cleanup error, so a later prompt isn't sent with a pre-turn snapshot.
|
||
try:
|
||
agent._session_messages = messages
|
||
except Exception:
|
||
pass
|
||
|
||
_log_turn_exit(agent, messages, final_response, api_call_count, _turn_exit_reason, interrupted, logger)
|
||
|
||
# Response transforms apply only to real, uninterrupted responses.
|
||
if final_response and not interrupted:
|
||
final_response = _append_file_mutation_footer(agent, final_response, logger)
|
||
if not interrupted:
|
||
final_response = _explain_abnormal_exit(
|
||
agent, final_response, _turn_exit_reason, preserved_verification_fallback, logger,
|
||
)
|
||
|
||
_platform = getattr(agent, "platform", None) or ""
|
||
_response_transformed = False
|
||
_pre_transform_response = None
|
||
if final_response and not interrupted:
|
||
# Plugin hook: transform_llm_output — fired once per turn after the tool loop.
|
||
# First hook to return a string wins; None/empty leaves the text unchanged.
|
||
for _hook_result in _invoke_hook_safely(
|
||
"transform_llm_output", logger,
|
||
response_text=final_response,
|
||
session_id=agent.session_id or "",
|
||
model=agent.model,
|
||
platform=_platform,
|
||
):
|
||
if isinstance(_hook_result, str) and _hook_result:
|
||
_pre_transform_response = final_response
|
||
final_response = _hook_result
|
||
_response_transformed = True
|
||
break
|
||
# Plugin hook: post_llm_call (e.g. sync conversation data to an external
|
||
# memory system).
|
||
_invoke_hook_safely(
|
||
"post_llm_call", logger,
|
||
session_id=agent.session_id,
|
||
task_id=effective_task_id,
|
||
turn_id=turn_id,
|
||
user_message=original_user_message,
|
||
assistant_response=final_response,
|
||
conversation_history=list(messages),
|
||
model=agent.model,
|
||
platform=_platform,
|
||
)
|
||
|
||
# Context engine observation hook (complements per-request select_context()):
|
||
# notify the engine the turn finished with the finalized transcript. Fail-open.
|
||
try:
|
||
from agent.conversation_loop import _notify_context_engine_turn_complete
|
||
# ``_last_turn_usage`` holds the last API response's canonical usage dict, or
|
||
# ``None`` on turns that never reached a provider response — by contract.
|
||
_notify_context_engine_turn_complete(
|
||
agent,
|
||
messages,
|
||
usage=getattr(agent, "_last_turn_usage", None),
|
||
logger=logger,
|
||
turn_id=turn_id,
|
||
task_id=effective_task_id,
|
||
api_call_count=api_call_count,
|
||
interrupted=interrupted,
|
||
failed=failed,
|
||
turn_exit_reason=_turn_exit_reason,
|
||
)
|
||
except Exception as exc:
|
||
logger.warning("on_turn_complete notification failed: %s", exc)
|
||
|
||
# Surrogate chokepoint: ``final_response`` may be RAW SDK content, and a lone UTF-16
|
||
# surrogate crashes downstream consumers (stdout, Telegram ``utf16_len``, JSON).
|
||
# Scrub once where model text leaves the loop (#80366).
|
||
if isinstance(final_response, str):
|
||
final_response = _sanitize_surrogates(final_response)
|
||
|
||
result = {
|
||
"final_response": final_response,
|
||
"last_reasoning": _last_turn_reasoning(messages),
|
||
"messages": messages,
|
||
"api_calls": api_call_count,
|
||
"completed": completed,
|
||
"turn_exit_reason": _turn_exit_reason,
|
||
"failed": failed,
|
||
"partial": False, # True only when stopped due to invalid tool calls
|
||
"interrupted": interrupted,
|
||
"response_transformed": _response_transformed,
|
||
"pre_transform_response": _pre_transform_response,
|
||
"response_previewed": getattr(agent, "_response_was_previewed", False),
|
||
"model": agent.model,
|
||
"provider": agent.provider,
|
||
"base_url": agent.base_url,
|
||
"input_tokens": agent.session_input_tokens,
|
||
"output_tokens": agent.session_output_tokens,
|
||
"cache_read_tokens": agent.session_cache_read_tokens,
|
||
"cache_write_tokens": agent.session_cache_write_tokens,
|
||
"reasoning_tokens": agent.session_reasoning_tokens,
|
||
"prompt_tokens": agent.session_prompt_tokens,
|
||
"completion_tokens": agent.session_completion_tokens,
|
||
"total_tokens": agent.session_total_tokens,
|
||
"last_prompt_tokens": getattr(agent.context_compressor, "last_prompt_tokens", 0) or 0,
|
||
"estimated_cost_usd": agent.session_estimated_cost_usd,
|
||
"cost_status": agent.session_cost_status,
|
||
"cost_source": agent.session_cost_source,
|
||
# Requested service tier (from request_overrides.extra_body), for billing
|
||
# audits by callers like `hermes -z --usage-file`.
|
||
"service_tier": (
|
||
(getattr(agent, "request_overrides", {}) or {}).get("extra_body") or {}
|
||
).get("service_tier"),
|
||
"session_id": agent.session_id,
|
||
}
|
||
if agent._tool_guardrail_halt_decision is not None:
|
||
result["guardrail"] = agent._tool_guardrail_halt_decision.to_metadata()
|
||
# Persistence failures already set failed=True; also stamp `error` so the gateway
|
||
# surfaces status="error" (and desktop can toast) instead of a quiet complete frame.
|
||
if failed and str(_turn_exit_reason) == "session_persistence_failed":
|
||
result["error"] = final_response or (
|
||
"session storage could not be written — check the state database "
|
||
"health (`hermes doctor`), then send your message again"
|
||
)
|
||
# Machine-readable cause for the gateway/desktop, exactly
|
||
# 'session_persistence_failed:<locked|compression|turn_lease|corrupt|...>'.
|
||
# Never clobber a failure_reason another path already stamped.
|
||
if "failure_reason" not in result:
|
||
_cause = getattr(agent, "_last_persistence_error_cause", None)
|
||
result["failure_reason"] = "session_persistence_failed:" + (_cause or "unknown")
|
||
# Surface post-loop cleanup failures so the caller can tell a clean turn from one
|
||
# whose teardown raised; the response is returned either way (#8049).
|
||
if _cleanup_errors:
|
||
result["cleanup_errors"] = _cleanup_errors
|
||
# A /steer landing after the final assistant turn has no tool batch to drain into;
|
||
# hand it back so it becomes the next user turn instead of being lost.
|
||
_leftover_steer = agent._drain_pending_steer()
|
||
if _leftover_steer:
|
||
result["pending_steer"] = _leftover_steer
|
||
agent._response_was_previewed = False
|
||
if interrupted and agent._interrupt_message:
|
||
result["interrupt_message"] = agent._interrupt_message
|
||
agent.clear_interrupt()
|
||
# Clear stream callback so it doesn't leak into future calls.
|
||
agent._stream_callback = None
|
||
|
||
# Skill trigger is checked NOW — based on how many tool iterations THIS turn used.
|
||
_should_review_skills = False
|
||
if (agent._skill_nudge_interval > 0
|
||
and agent._iters_since_skill >= agent._skill_nudge_interval
|
||
and "skill_manage" in agent.valid_tool_names):
|
||
_should_review_skills = True
|
||
agent._iters_since_skill = 0
|
||
|
||
# External memory provider: sync the completed turn + queue next prefetch.
|
||
agent._sync_external_memory_for_turn(
|
||
original_user_message=original_user_message,
|
||
final_response=final_response,
|
||
interrupted=interrupted,
|
||
messages=messages,
|
||
)
|
||
|
||
# Background memory/skill review runs AFTER delivery so it never competes with the
|
||
# user's task. Suppressed by skip_background_review (e.g. cron): the fork costs
|
||
# ~30K tokens / event with no human-in-the-loop benefit.
|
||
if (
|
||
final_response
|
||
and not interrupted
|
||
and not getattr(agent, "skip_background_review", False)
|
||
and (_should_review_memory or _should_review_skills)
|
||
):
|
||
try:
|
||
# _spawn_background_review clones the snapshot structurally so the fork's
|
||
# in-place sanitizers can't reach the live transcript.
|
||
agent._spawn_background_review(
|
||
messages_snapshot=list(messages),
|
||
review_memory=_should_review_memory,
|
||
review_skills=_should_review_skills,
|
||
)
|
||
except Exception:
|
||
pass # Background review is best-effort
|
||
|
||
# Memory provider on_session_end()/shutdown_all() are NOT called here:
|
||
# run_conversation() runs once per message; CLI/gateway own session-end cleanup.
|
||
_invoke_hook_safely(
|
||
"on_session_end", logger,
|
||
session_id=agent.session_id,
|
||
task_id=effective_task_id,
|
||
turn_id=turn_id,
|
||
completed=completed,
|
||
failed=failed,
|
||
interrupted=interrupted,
|
||
turn_exit_reason=_turn_exit_reason,
|
||
model=agent.model,
|
||
platform=_platform,
|
||
)
|
||
|
||
agent._turn_preflight_display_snapshot = None
|
||
agent._turn_received_provider_response = False
|
||
return result
|