Teknium
2315 lines
100 KiB
Python
2315 lines
100 KiB
Python
"""The agent conversation loop — extracted from ``run_agent.AIAgent``.
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``run_conversation(agent, ...)`` drives one user turn (model call, tool dispatch,
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retries, fallbacks, compression, post-turn hooks). Symbols that callers patch on
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``run_agent`` (``handle_function_call``, ``_set_interrupt``, ``OpenAI``) resolve via
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``_ra`` so those patches keep working."""
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from __future__ import annotations
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import json
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import logging
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import random
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import re
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import time
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from typing import Any, Dict, List, Optional
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from agent.codex_responses_adapter import _summarize_user_message_for_log
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from agent.conversation_compression import (
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conversation_history_after_compression, # noqa: F401 — resolved lazily by turn_overflow/turn_preflight/turn_recovery (tests patch it here)
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)
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from agent.display import KawaiiSpinner
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from agent.fast_mode import begin_turn as begin_fast_mode_turn
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from agent.message_metadata import append_message
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from agent.turn_context import (
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PreflightCompressionTimedOut,
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build_turn_context,
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reanchor_current_turn_user_idx,
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)
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from agent.turn_retry_state import TurnRetryState
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from agent.runtime_cwd import resolve_agent_cwd
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from agent.message_sanitization import (
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_repair_tool_call_arguments,
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_sanitize_surrogates,
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)
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# Must mirror _STALE_TOOL_CALL_MARKER_RE in hermes_state.py; kept local so importing
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# hermes_state (module-level DEFAULT_DB_PATH) is not forced at load time.
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_STALE_MARKER_RE = re.compile(r"^\[[A-Za-z_][A-Za-z0-9_.-]*\]$")
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from agent.model_metadata import (
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MINIMUM_CONTEXT_LENGTH,
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_estimate_tools_tokens_rough,
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estimate_messages_tokens_rough, # noqa: F401 — resolved lazily by agent.turn_request_assembly (tests patch it here)
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estimate_request_tokens_rough, # noqa: F401 — resolved lazily by turn_overflow/turn_preflight/turn_recovery (tests patch it here)
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save_context_length, # noqa: F401 — resolved lazily by agent.turn_overflow (tests patch it here)
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)
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from agent.process_bootstrap import _install_safe_stdio
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from agent.prompt_caching import (
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build_prompt_cache_plan,
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effective_cache_ttl,
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strip_anthropic_cache_control,
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strip_anthropic_tool_cache_control,
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)
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from agent.retry_utils import ( # noqa: F401 — resolved lazily by agent.turn_* (tests patch them here)
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adaptive_rate_limit_backoff,
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jittered_backoff,
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)
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from agent.turn_recovery import ( # noqa: F401 — resolved lazily by agent.turn_response_check
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describe_invalid_response,
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interruptible_backoff_sleep,
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validate_response_shape,
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)
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# Bind before the turn starts so a source-tree swap cannot load a skewed
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# finalizer at turn end.
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from agent.turn_finalizer import finalize_turn
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from agent.turn_iteration_prep import prepare_iteration
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from agent.turn_preflight_gate import run_preflight_gate
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from agent.turn_request_assembly import assemble_api_request
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from agent.turn_api_request import build_api_request
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from agent.turn_api_call import perform_api_call
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from agent.turn_response_check import check_api_response
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from agent.turn_api_error import handle_api_error
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from agent.turn_final_response import finish_text_response
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from agent.turn_tool_round import run_tool_round
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from agent.turn_response_intake import normalize_model_response
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from agent.turn_loop_errors import handle_outer_loop_error
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from hermes_logging import set_session_context
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from tools.skill_provenance import set_current_write_origin
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from utils import base_url_host_matches
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logger = logging.getLogger(__name__)
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# Scaffold marker used by _apply_active_turn_redirect and the ghost-row filter
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# in the api_messages loop. Module-level so both sites can never drift.
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_INTERRUPT_SCAFFOLD_MARKER = "[This response was interrupted by a user correction.]"
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# One-time wrap-up notice appended when a wall-clock run budget crosses 80%
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# (agent.run_budget_seconds / --run-budget): stop new work, deliver current state.
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RUN_BUDGET_WRAPUP_NOTICE = (
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"[SYSTEM NOTICE — run time budget nearly exhausted] "
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"Run time budget nearly exhausted. Stop new discovery/verification work "
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"now. Produce the required final deliverable (answer/JSON/summary) from "
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"the state you already have, completing only mandatory writes."
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)
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def _midturn_request_pressure_tokens(
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agent: Any,
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api_messages: List[Dict[str, Any]],
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effective_system: str,
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approx_tokens: int,
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) -> int:
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"""Token figure the mid-turn pre-API compression guard compares.
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Returns the pruned native-Responses estimate when native compaction eligibility is
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proven (the generic estimate overstates the wire on compacted sessions, #96995),
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else the generic message+tools figure. System prompt is counted exactly once."""
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try:
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from agent.codex_responses_adapter import (
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estimate_native_responses_preflight_tokens,
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)
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native = estimate_native_responses_preflight_tokens(
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agent,
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api_messages,
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system_prompt=effective_system or "",
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tools=getattr(agent, "tools", None) or None,
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)
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if isinstance(native, int) and not isinstance(native, bool) and native >= 0:
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return native
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except Exception:
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logger.debug(
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"native Responses mid-turn estimate unavailable; "
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"using generic transcript estimate",
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exc_info=True,
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)
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return approx_tokens + (
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_estimate_tools_tokens_rough(agent.tools) if agent.tools else 0
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)
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def _review_input_budget_exhausted(agent: Any) -> bool:
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"""True when a detached review fork has replayed its aggregate input budget.
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Only forks with an explicit ``_review_input_token_budget`` are gated (#93057). Fires
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at the top of the NEXT iteration, so the budget-crossing request completes first."""
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budget = getattr(agent, "_review_input_token_budget", None)
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if not isinstance(budget, int) or isinstance(budget, bool) or budget <= 0:
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return False
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used = getattr(agent, "session_input_tokens", 0)
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return isinstance(used, int) and not isinstance(used, bool) and used >= budget
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def _maybe_inject_run_budget_wrapup(agent: Any, messages: List[Dict[str, Any]]) -> bool:
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"""Inject the one-time wall-clock wrap-up notice when past 80% of budget.
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Appends to the NEWEST ``role:"tool"`` message (cache-safe, like /steer); latches
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``_run_budget_wrapup_injected`` only on a successful append. Returns True when
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injected. Dormant unless ``run_budget_seconds`` + ``_run_budget_started_at`` set."""
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budget = getattr(agent, "run_budget_seconds", None)
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if not budget:
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return False
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if getattr(agent, "_run_budget_wrapup_injected", False):
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return False
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started = getattr(agent, "_run_budget_started_at", None)
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if not started:
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return False
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if (time.time() - started) < 0.8 * float(budget):
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return False
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for i in range(len(messages) - 1, -1, -1):
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msg = messages[i]
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if isinstance(msg, dict) and msg.get("role") == "tool":
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existing = msg.get("content", "")
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if isinstance(existing, str):
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msg["content"] = existing + f"\n\n{RUN_BUDGET_WRAPUP_NOTICE}"
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else:
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# Multimodal content blocks — append a text block.
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try:
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blocks = list(existing) if existing else []
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blocks.append({"type": "text", "text": RUN_BUDGET_WRAPUP_NOTICE})
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msg["content"] = blocks
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except Exception:
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return False
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agent._run_budget_wrapup_injected = True
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logger.info(
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"Run budget wrap-up notice injected (budget=%.0fs, elapsed=%.0fs)",
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float(budget),
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time.time() - started,
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)
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return True
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return False
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def _restore_user_after_reference_handoff(
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messages: List[Dict[str, Any]], user_message: Any
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) -> bool:
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"""Re-append this turn's real user ask when compaction left only a handoff.
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Returns True when a restore append happened; only decides whether a restorable
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ask exists (#80622)."""
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if user_message is None:
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return False
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if isinstance(user_message, str):
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if not user_message.strip():
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return False
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content: Any = user_message
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elif isinstance(user_message, list):
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if not user_message:
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return False
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content = user_message
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else:
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return False
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if (
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messages
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and isinstance(messages[-1], dict)
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and messages[-1].get("role") == "user"
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and messages[-1].get("content") == content
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):
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return False
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append_message(messages, {"role": "user", "content": content})
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return True
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def _should_skip_model_call_for_reference_handoff(
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messages: List[Dict[str, Any]], user_message: Any
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) -> bool:
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"""Guard post-compaction continues against sole-handoff active turns (#80622)."""
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from agent.context_compressor import reference_handoff_would_drive_next_model_call
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if not reference_handoff_would_drive_next_model_call(messages):
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return False
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if _restore_user_after_reference_handoff(messages, user_message):
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# The restored ask is an actionable non-synthetic user row appended
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# after the handoff — by construction the handoff no longer drives.
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return False
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return True
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# Fallback final_response for the sole-handoff skip (#80622). Not a replay of the
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# last assistant text: finalize_turn appends final_response as a fresh assistant row.
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_HANDOFF_SKIP_FINAL_RESPONSE = (
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"Context was compacted. The previous response is complete — "
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"awaiting your next message."
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)
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# Terminal final_response when compression hit its host timeout while the request
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# was still oversized; resending would only bounce off the overflow error (#98722).
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_COMPRESSION_TIMEOUT_FINAL_RESPONSE = (
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"Context compression timed out without reducing this conversation. "
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"No messages were dropped. Start a fresh session with /new, or check "
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"auxiliary.compression before retrying /compress."
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)
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# Stable prefix of the local interrupt status string; surfaces (ACP, TUI) match on
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# it to treat the text as cancellation metadata rather than assistant prose.
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INTERRUPT_WAITING_FOR_MODEL_PREFIX = "Operation interrupted: waiting for model response ("
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def _should_rearm_compression_budget(
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compression_attempts: int,
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*,
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completed_compaction_pending: bool,
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prompt_tokens: int,
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threshold_tokens: int,
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) -> bool:
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"""Return True after a provider proves a completed compaction worked.
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Rough estimates cannot rearm the anti-thrash budget; require the completed-
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compaction latch and a positive normalized prompt count below the threshold."""
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return bool(
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compression_attempts
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and completed_compaction_pending
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and threshold_tokens > 0
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and 0 < prompt_tokens < threshold_tokens
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)
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# Modules whose presence in a traceback (without any API-call module) marks a
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# deterministic local bug not worth retrying. NEVER add "conversation_loop" or
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# "run_agent": every exception passes through them; _hit_local would be True (#66267)
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_LOCAL_PROCESSING_MODULES = frozenset({
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"agent_runtime_helpers",
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"message_content",
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"message_sanitization",
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"chat_completion_helpers", # only local when NOT also an API-call module
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})
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_API_CALL_MODULES = frozenset({
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"chat_completion_helpers",
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})
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# Max outer-loop exceptions per user turn before giving up; only exceptions that
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# ESCAPE the inner retry/fallback machinery count, so this can be small (#92450).
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_MAX_OUTER_LOOP_ERRORS = 8
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def _is_interpreter_shutdown_error(exc: Exception) -> bool:
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"""Check if *exc* is a fatal interpreter-shutdown failure.
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Delegates to ``tools.interpreter_shutdown`` (one text-matching site for the
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shutdown-race bug class) but keeps the RuntimeError type gate: a ValueError
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carrying similar text must not match (#93269)."""
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if isinstance(exc, RuntimeError):
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from tools.interpreter_shutdown import interpreter_shutting_down
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return interpreter_shutting_down(exc)
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return False
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def _moa_client_consumes_prepared_request(client: Any) -> bool:
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"""True when ``client`` is the in-process MoA facade.
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Only ``MoAChatCompletions`` exposes ``prepare()``; other clients raise TypeError on
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``_moa_prepared_request`` even while ``agent.provider`` stays ``"moa"``."""
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completions = getattr(getattr(client, "chat", None), "completions", None)
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return callable(getattr(completions, "prepare", None))
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def _join_truncated_parts(parts: List[str]) -> str:
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"""Join continuation fragments, adding a newline where two would glue together (#78577)."""
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joined = ""
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for part in parts:
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if joined and not joined[-1].isspace() and part and not part[0].isspace():
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joined += "\n"
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joined += part
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return joined
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def _moa_reference_metrics_for_hook(agent: Any) -> Any:
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"""Per-advisor metrics for post_api_request, or None off the MoA path.
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||
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MoA returns only the aggregator response, so a plugin sees one generation for
|
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the whole fan-out; this carries the per-slot advisor spend across the hook boundary."""
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client = getattr(agent, "client", None)
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getter = getattr(client, "last_reference_metrics", None)
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if not callable(getter):
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return None
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try:
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return getter()
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||
except Exception:
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return None
|
||
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||
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def _apply_active_turn_redirect(agent: Any, messages: List[Dict[str, Any]], text: str) -> None:
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"""Append a provider-safe checkpoint and correction to the live turn.
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Keeps only the *visible* text (demoted to plain text) then adds the correction as a
|
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real user message, so role alternation holds and cached messages stay byte-identical.
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INVARIANT: raw chain-of-thought never enters replayable content — inlined CoT reads
|
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as a prefill jailbreak and bricks the session with empty-response storms.
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INVARIANT: the interruption scaffold is replay text, carried only in the user
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correction's ``api_content``; an on-screen-empty placeholder is ``display_kind=hidden``."""
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visible = agent._strip_think_blocks(
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||
getattr(agent, "_current_streamed_assistant_text", "") or ""
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||
).strip()
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||
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||
checkpoint_parts = [_INTERRUPT_SCAFFOLD_MARKER]
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if visible:
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||
checkpoint_parts.extend(
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||
["Visible response before the interruption:", visible]
|
||
)
|
||
checkpoint = "\n\n".join(checkpoint_parts)
|
||
correction = (
|
||
"[Context from the interrupted assistant response]\n"
|
||
f"{checkpoint}\n\n"
|
||
f"{text}"
|
||
)
|
||
|
||
# The live tail is normally user or tool, so an assistant placeholder + correction
|
||
# keeps strict alternation; if the tail is already assistant, fold the checkpoint
|
||
# into the user correction instead of creating assistant→assistant.
|
||
if messages and messages[-1].get("role") == "assistant":
|
||
# Transcript shows the user's own words; the provider replays the
|
||
# scaffolded form so it still sees the interrupted context.
|
||
append_message(
|
||
messages,
|
||
{"role": "user", "content": text, "api_content": correction},
|
||
)
|
||
else:
|
||
# Placeholder preserves role alternation only. Scaffold bytes must never land
|
||
# here: api_content is substituted back into content on replay (#81841).
|
||
placeholder: Dict[str, Any] = {
|
||
"role": "assistant",
|
||
"content": visible or "",
|
||
}
|
||
if not visible:
|
||
placeholder["display_kind"] = "hidden"
|
||
# Hidden row, but a non-empty neutral api_content so the pre-call
|
||
# sanitizer does not re-heal it every call (#88955). Never
|
||
# _INTERRUPT_SCAFFOLD_MARKER: as assistant text the model echoes it (#81841)
|
||
from agent.agent_runtime_helpers import _INTERRUPTED_PLACEHOLDER
|
||
|
||
placeholder["api_content"] = _INTERRUPTED_PLACEHOLDER
|
||
append_message(messages, placeholder)
|
||
append_message(
|
||
messages,
|
||
{"role": "user", "content": text, "api_content": correction},
|
||
)
|
||
|
||
agent._current_streamed_assistant_text = ""
|
||
agent._stream_needs_break = True
|
||
|
||
|
||
def _is_copilot_provider(agent: Any) -> bool:
|
||
"""Delegate to ``AIAgent._is_copilot_provider`` (single owner of the check).
|
||
|
||
``agent.provider`` may hold the aliases ``github-copilot`` / ``github``; a bare
|
||
``provider == "copilot"`` gate would skip credential recovery for them."""
|
||
try:
|
||
return bool(agent._is_copilot_provider())
|
||
except Exception:
|
||
return (getattr(agent, "provider", "") or "").strip().lower() in {
|
||
"copilot",
|
||
"github-copilot",
|
||
"github",
|
||
}
|
||
|
||
|
||
def _is_stale_copilot_credential_error(status_code: Optional[int], error_message: str) -> bool:
|
||
"""Detect a Copilot 400 that is really a STALE / DEGRADED credential.
|
||
|
||
Matches status 400 AND ``model_not_available_for_integrator`` or
|
||
``model_not_supported`` / "the requested model is not supported", so a wrong model
|
||
name never triggers the single-shot re-exchange. Caller enforces scoping/guard."""
|
||
lowered = (error_message or "").lower()
|
||
is_400 = status_code == 400 or "error code: 400" in lowered
|
||
if not is_400:
|
||
return False
|
||
return (
|
||
"model_not_available_for_integrator" in lowered
|
||
or "not available for integrator" in lowered
|
||
or "model_not_supported" in lowered
|
||
or "the requested model is not supported" in lowered
|
||
)
|
||
|
||
|
||
|
||
def _ollama_context_limit_error(agent: Any, request_tokens: int) -> Optional[str]:
|
||
"""Return a user-facing error when Ollama is loaded with too little context."""
|
||
if not getattr(agent, "tools", None):
|
||
return None
|
||
|
||
runtime_ctx = getattr(agent, "_ollama_num_ctx", None)
|
||
if not isinstance(runtime_ctx, int) or runtime_ctx <= 0:
|
||
return None
|
||
if runtime_ctx >= MINIMUM_CONTEXT_LENGTH:
|
||
return None
|
||
|
||
model = getattr(agent, "model", "") or "the selected model"
|
||
base_url = getattr(agent, "base_url", "") or "unknown base URL"
|
||
provider = getattr(agent, "provider", "") or "unknown"
|
||
tool_count = len(getattr(agent, "tools", None) or [])
|
||
|
||
logger.warning(
|
||
"Ollama runtime context too small for Hermes tool use: "
|
||
"model=%s provider=%s base_url=%s runtime_context=%d "
|
||
"minimum_context=%d estimated_request_tokens=%d tool_count=%d "
|
||
"session=%s",
|
||
model,
|
||
provider,
|
||
base_url,
|
||
runtime_ctx,
|
||
MINIMUM_CONTEXT_LENGTH,
|
||
request_tokens,
|
||
tool_count,
|
||
getattr(agent, "session_id", None) or "none",
|
||
)
|
||
|
||
return (
|
||
f"Ollama loaded `{model}` with only {runtime_ctx:,} tokens of runtime "
|
||
f"context, but Hermes needs at least {MINIMUM_CONTEXT_LENGTH:,} tokens "
|
||
"for reliable tool use.\n\n"
|
||
"Increase the Ollama context for this model and restart/reload the "
|
||
"model before trying again. A known-good starting point is 65,536 "
|
||
"tokens. In Hermes config, set `model.ollama_num_ctx: 65536` "
|
||
"(and `model.context_length: 65536` if you also override the displayed "
|
||
"model context). If you manage the model through an Ollama Modelfile, "
|
||
"set `PARAMETER num_ctx 65536` there instead."
|
||
)
|
||
|
||
|
||
def _maybe_grow_local_window(agent: Any, compressor: Any,
|
||
request_tokens: int) -> Optional[int]:
|
||
"""Try growing the managed local model's context window before compressing.
|
||
|
||
Returns the new window when the ladder granted one, else None (hold / at native /
|
||
not a managed local session). Cheap for non-local providers: one compare."""
|
||
provider = (getattr(agent, "provider", "") or "").strip().lower()
|
||
if provider not in ("llamacpp", "llama.cpp", "llama-cpp", "custom"):
|
||
return None
|
||
base_url = getattr(agent, "base_url", "") or ""
|
||
if "127.0.0.1" not in base_url and "localhost" not in base_url:
|
||
return None
|
||
try:
|
||
from hermes_cli.local_runtime.growth import maybe_grow_window
|
||
|
||
current_window = int(getattr(compressor, "context_length", 0) or 0)
|
||
if current_window <= 0:
|
||
return None
|
||
return maybe_grow_window(
|
||
getattr(agent, "model", "") or "",
|
||
base_url=base_url,
|
||
session_tokens=int(request_tokens),
|
||
current_window=current_window,
|
||
)
|
||
except Exception as exc: # noqa: BLE001 — growth must never break a turn
|
||
logger.debug("local window growth check failed: %s", exc)
|
||
return None
|
||
|
||
|
||
def _ra():
|
||
"""Lazy ``run_agent`` reference so patches on ``run_agent.handle_function_call`` /
|
||
``run_agent._set_interrupt`` / ``run_agent.OpenAI`` reach this code path."""
|
||
import run_agent
|
||
return run_agent
|
||
|
||
|
||
def _nous_entitlement_message(capability: str) -> str:
|
||
try:
|
||
from hermes_cli.nous_account import (
|
||
format_nous_portal_entitlement_message,
|
||
get_nous_portal_account_info,
|
||
)
|
||
|
||
account_info = get_nous_portal_account_info(force_fresh=True)
|
||
message = format_nous_portal_entitlement_message(
|
||
account_info,
|
||
capability=capability,
|
||
)
|
||
return message or ""
|
||
except Exception:
|
||
return ""
|
||
|
||
|
||
def _print_nous_entitlement_guidance(agent, capability: str) -> bool:
|
||
message = _nous_entitlement_message(capability)
|
||
if not message:
|
||
return False
|
||
for line in message.splitlines():
|
||
agent._vprint(f"{agent.log_prefix} 💡 {line}", force=True)
|
||
return True
|
||
|
||
|
||
def _system_prompt_for_hooks(api_kwargs: Any, request_messages: Any) -> Any:
|
||
"""System prompt as actually sent to the provider, for observability hooks.
|
||
|
||
Checks ``system`` (Anthropic), ``instructions`` (Responses/Codex), then
|
||
``messages[0]``. Returns None when the request carries no system prompt."""
|
||
system_prompt = api_kwargs.get("system")
|
||
if system_prompt is None:
|
||
system_prompt = api_kwargs.get("instructions")
|
||
if system_prompt is None and isinstance(request_messages, list) and request_messages:
|
||
first = request_messages[0]
|
||
if isinstance(first, dict) and first.get("role") == "system":
|
||
system_prompt = first.get("content")
|
||
return system_prompt
|
||
|
||
|
||
def _is_nous_inference_route(provider: str, base_url: str) -> bool:
|
||
provider = (provider or "").strip().lower()
|
||
if provider == "nous":
|
||
return True
|
||
base = str(base_url or "")
|
||
return (
|
||
base_url_host_matches(base, "inference-api.nousresearch.com")
|
||
)
|
||
|
||
|
||
def _billing_or_entitlement_message(
|
||
*,
|
||
capability: str,
|
||
provider: str,
|
||
base_url: str,
|
||
model: str,
|
||
unverified: bool = False,
|
||
) -> str:
|
||
if _is_nous_inference_route(provider, base_url):
|
||
return _nous_entitlement_message(capability)
|
||
|
||
provider_label = (provider or "").strip() or "the selected provider"
|
||
model_label = (model or "").strip() or "the selected model"
|
||
|
||
# Anthropic Pro/Max OAuth surfaces exhaustion of the "extra usage" bucket as a hard
|
||
# 400; point at the settings page and cycle reset — "add credits" does not apply.
|
||
if (provider or "").strip().lower() == "anthropic":
|
||
# ``unverified`` (#82154): the "out of extra usage" 400 is also returned for a
|
||
# server-side content-filter rejection, so hedge and name the other cause.
|
||
if unverified:
|
||
lines = [
|
||
(
|
||
f"{provider_label} reported that your Claude subscription usage may be "
|
||
f"exhausted for {model_label} (included quota + extra-usage credits) — "
|
||
"but this specific error is not proof of a billing problem."
|
||
),
|
||
"If https://claude.ai/settings/usage still shows quota remaining, this is "
|
||
"probably NOT a billing problem: on a Claude subscription (OAuth) token "
|
||
"Anthropic returns this same message when its content filter rejects part "
|
||
"of the request — typically a phrase in the system prompt.",
|
||
"If usage really is exhausted: wait for the billing cycle to reset, or add "
|
||
"extra usage at https://claude.ai/settings/usage",
|
||
"You can also switch to an Anthropic API key or another provider with "
|
||
"/model <model> --provider <provider>.",
|
||
# The exhaustion latch replays the stored error without issuing
|
||
# a request, so a real fix looks like it didn't work.
|
||
"Retry with a fresh credential state: `hermes auth reset anthropic`. Until "
|
||
"that cooldown clears, this error can be replayed from cache without "
|
||
"contacting the API.",
|
||
]
|
||
else:
|
||
lines = [
|
||
(
|
||
f"{provider_label} reported that your Claude subscription usage is "
|
||
f"exhausted for {model_label} (included quota + extra-usage credits)."
|
||
),
|
||
"Options: wait for the billing cycle to reset, or add extra usage at "
|
||
"https://claude.ai/settings/usage",
|
||
"You can also switch to an Anthropic API key or another provider with "
|
||
"/model <model> --provider <provider>.",
|
||
]
|
||
return "\n".join(lines)
|
||
|
||
# Provider-agnostic billing URL so every text surface (CLI, gateway, TUI) shows the
|
||
# same actionable link, not just OpenRouter.
|
||
try:
|
||
from agent.billing_links import build_billing_block
|
||
|
||
_link = build_billing_block(provider=provider, base_url=base_url, model=model)
|
||
if _link.provider_label:
|
||
provider_label = _link.provider_label
|
||
billing_url = _link.billing_url
|
||
except Exception:
|
||
billing_url = None
|
||
|
||
lines = [
|
||
(
|
||
f"{provider_label} reported that billing, credits, or account "
|
||
f"entitlement is exhausted for {model_label}."
|
||
),
|
||
"Add credits or update billing with that provider, then retry.",
|
||
]
|
||
if billing_url:
|
||
lines.append(f"{provider_label} billing: {billing_url}")
|
||
lines.append("You can switch providers temporarily with /model <model> --provider <provider>.")
|
||
return "\n".join(lines)
|
||
|
||
|
||
def _billing_block_dict(
|
||
provider, base_url, model, message="", *, unverified: bool = False
|
||
) -> Optional[dict]:
|
||
"""Best-effort structured billing descriptor (None if billing_links is unavailable)."""
|
||
try:
|
||
from agent.billing_links import build_billing_block
|
||
|
||
block = build_billing_block(
|
||
provider=provider, base_url=str(base_url), model=model, message=message
|
||
).to_dict()
|
||
except Exception:
|
||
return None
|
||
if block is not None and unverified:
|
||
# Carry the classifier's ambiguity into the structured descriptor so
|
||
# every surface rendering the block can hedge too (#82154).
|
||
block["unverified"] = True
|
||
return block
|
||
|
||
|
||
def _billing_terminal_label(summary: str, unverified: bool) -> str:
|
||
"""Terminal-failure prefix for a billing-classified error.
|
||
|
||
``unverified`` (#82154): the Anthropic "out of extra usage" 400 can be a
|
||
content-filter rejection, so the line must not assert exhaustion as fact."""
|
||
if unverified:
|
||
return (
|
||
"Provider reported usage/credit exhaustion (unverified — the same "
|
||
f"error can be a content-filter rejection, not billing): {summary}"
|
||
)
|
||
return f"Billing or credits exhausted: {summary}"
|
||
|
||
|
||
def _billing_failure_result(
|
||
*,
|
||
classified,
|
||
summary: str,
|
||
messages,
|
||
api_call_count: int,
|
||
provider: str,
|
||
base_url,
|
||
model: str,
|
||
guidance: Optional[str] = None,
|
||
) -> dict:
|
||
"""Structured terminal result for a billing-classified failure.
|
||
|
||
Single construction point so label, guidance, structured block and ambiguity flag
|
||
stay consistent across the non-retryable abort and max-retries paths (#82154)."""
|
||
unverified = bool(getattr(classified, "billing_unverified", False))
|
||
if guidance is None:
|
||
guidance = _billing_or_entitlement_message(
|
||
capability="model access",
|
||
provider=provider,
|
||
base_url=str(base_url),
|
||
model=model,
|
||
unverified=unverified,
|
||
)
|
||
final = _billing_terminal_label(summary, unverified)
|
||
if guidance:
|
||
final += f"\n\n{guidance}"
|
||
return {
|
||
"final_response": final,
|
||
"messages": messages,
|
||
"api_calls": api_call_count,
|
||
"completed": False,
|
||
"failed": True,
|
||
"error": summary,
|
||
"failure_reason": classified.reason.value,
|
||
# Classifier's own retry verdict so UI (agent/error_surface.py) shows Retry
|
||
# only when a re-run can differ, not re-derived from a second taxonomy.
|
||
"failure_retryable": bool(classified.retryable),
|
||
# The billing verdict may rest on an ambiguous body (#82154) — carry
|
||
# that through the structured result, not just the prose.
|
||
"billing_unverified": unverified,
|
||
"billing_block": _billing_block_dict(
|
||
provider, base_url, model, guidance, unverified=unverified
|
||
),
|
||
}
|
||
|
||
|
||
def _print_billing_or_entitlement_guidance(
|
||
agent,
|
||
*,
|
||
capability: str,
|
||
provider: str,
|
||
base_url: str,
|
||
model: str,
|
||
unverified: bool = False,
|
||
) -> bool:
|
||
message = _billing_or_entitlement_message(
|
||
capability=capability,
|
||
provider=provider,
|
||
base_url=base_url,
|
||
model=model,
|
||
unverified=unverified,
|
||
)
|
||
if not message:
|
||
return False
|
||
for line in message.splitlines():
|
||
agent._vprint(f"{agent.log_prefix} 💡 {line}", force=True)
|
||
return True
|
||
|
||
|
||
|
||
def _restore_or_build_system_prompt(agent, system_message, conversation_history):
|
||
"""Restore the cached system prompt from the session DB or build it fresh.
|
||
|
||
Mutates ``agent._cached_system_prompt`` and persists a freshly-built prompt on first
|
||
build. Row states ``missing``/``null``/``empty``/``present`` are logged and DB
|
||
failures log at WARNING so silent prefix-cache misses show in ``agent.log``."""
|
||
stored_prompt = None
|
||
stored_state = "missing"
|
||
session_row = None
|
||
if conversation_history and agent._session_db:
|
||
try:
|
||
session_row = agent._session_db.get_session(agent.session_id)
|
||
if session_row is not None:
|
||
raw_prompt = session_row.get("system_prompt")
|
||
if raw_prompt is None:
|
||
stored_state = "null"
|
||
elif raw_prompt == "":
|
||
stored_state = "empty"
|
||
else:
|
||
stored_prompt = raw_prompt
|
||
stored_state = "present"
|
||
except Exception as exc:
|
||
logger.warning(
|
||
"Session DB get_session failed for system-prompt restore "
|
||
"(session=%s): %s. Falling back to fresh build — prefix "
|
||
"cache will miss for this turn.",
|
||
agent.session_id, exc,
|
||
)
|
||
|
||
if stored_prompt and _stored_prompt_matches_runtime(agent, stored_prompt):
|
||
# Bot Chat capability epoch: the stored prompt embeds a capability fingerprint;
|
||
# a mismatch is a deliberate once-per-change rebuild. Unstamped prompts never
|
||
# take this branch; probe failures fail closed to "reuse" so cache is kept.
|
||
_bot_stale = False
|
||
try:
|
||
from tools.bot_mode_probe import (
|
||
BOT_CHAT_TITLE,
|
||
stored_bot_chat_prompt_needs_upgrade,
|
||
stored_prompt_capability_stale,
|
||
)
|
||
|
||
_home_for_epoch = None
|
||
try:
|
||
from agent.system_prompt import _agent_home
|
||
|
||
_home_for_epoch = _agent_home(agent)
|
||
except Exception:
|
||
pass
|
||
_bot_stale = stored_prompt_capability_stale(stored_prompt, _home_for_epoch)
|
||
if not _bot_stale and getattr(agent, "_bot_mode_protocol", True):
|
||
# Legacy upgrade: a Bot Chat prompt predating the epoch mechanism gets
|
||
# ONE title-gated migration rebuild; the stamped result cannot re-fire.
|
||
_t = str(getattr(agent, "_session_title_hint", "") or "").strip()
|
||
if not _t and agent._session_db and agent.session_id:
|
||
try:
|
||
_t = str(agent._session_db.get_session_title(agent.session_id) or "").strip()
|
||
except Exception:
|
||
_t = ""
|
||
if _t == BOT_CHAT_TITLE:
|
||
_bot_stale = stored_bot_chat_prompt_needs_upgrade(stored_prompt, _home_for_epoch)
|
||
except Exception:
|
||
_bot_stale = False
|
||
if _bot_stale:
|
||
logger.info(
|
||
"Bot Chat capability epoch changed for session %s; rebuilding "
|
||
"system prompt to adopt the new capability surface (one-time "
|
||
"prefix-cache break).",
|
||
agent.session_id,
|
||
)
|
||
agent._session_title_hint = "Bot Chat"
|
||
# The skills index cache (LRU + disk snapshot) does not watch the skills
|
||
# dir; a capability refresh must rebuild THROUGH it or new skills are lost.
|
||
try:
|
||
from agent.prompt_builder import clear_skills_system_prompt_cache
|
||
|
||
clear_skills_system_prompt_cache(clear_snapshot=True)
|
||
except Exception:
|
||
pass
|
||
agent._cached_system_prompt = agent._build_system_prompt(system_message)
|
||
# Persist so the NEXT turn restores the new bytes verbatim (cache break is
|
||
# once per capability change). on_session_start not re-fired: continuation.
|
||
if agent._session_db:
|
||
try:
|
||
agent._session_db.update_system_prompt(
|
||
agent.session_id, agent._cached_system_prompt
|
||
)
|
||
except Exception as exc:
|
||
logger.warning(
|
||
"Session DB update_system_prompt failed after Bot Chat "
|
||
"capability refresh (session=%s): %s. The refresh will "
|
||
"re-fire next turn.",
|
||
agent.session_id, exc,
|
||
)
|
||
return
|
||
# Continuing session — reuse the exact system prompt from the
|
||
# previous turn so the Anthropic cache prefix matches.
|
||
agent._cached_system_prompt = stored_prompt
|
||
# Same contract for tools[]: pin the array to the order this session already
|
||
# sent (tools freeze) instead of re-probing every check_fn on a fresh AIAgent.
|
||
try:
|
||
saved_tools = session_row.get("tool_names") if session_row else None
|
||
if saved_tools:
|
||
from tools.mcp_tool import restore_agent_tool_prefix
|
||
|
||
restore_agent_tool_prefix(agent, json.loads(saved_tools))
|
||
except Exception:
|
||
logger.debug("tool prefix restore skipped", exc_info=True)
|
||
# Prompt-section callbacks are new-session-only; recover their frozen bytes
|
||
# from the persisted prompt so a compression rebuild keeps them.
|
||
from agent.system_prompt import restore_plugin_prompt_sections
|
||
|
||
restore_plugin_prompt_sections(agent, stored_prompt)
|
||
# The static prefix is not persisted; rebuild it for the early cache breakpoint
|
||
# or fresh-per-turn gateway agents fall back to the single-breakpoint layout.
|
||
# reconstruct_static_prefix gates on _use_prompt_caching, fails open to legacy.
|
||
from agent.system_prompt import reconstruct_static_prefix
|
||
|
||
reconstruct_static_prefix(agent, system_message=system_message)
|
||
return
|
||
if stored_prompt:
|
||
stored_state = "stale_runtime"
|
||
logger.info(
|
||
"Stored system prompt for session %s has stale runtime identity; "
|
||
"rebuilding for model=%s provider=%s.",
|
||
agent.session_id,
|
||
getattr(agent, "model", "") or "",
|
||
getattr(agent, "provider", "") or "",
|
||
)
|
||
|
||
if conversation_history and stored_state in ("null", "empty"):
|
||
# Continuing session with an unusable stored prompt: every turn now rebuilds
|
||
# and the prefix cache misses every time.
|
||
logger.warning(
|
||
"Stored system prompt for session %s is %s; rebuilding "
|
||
"from scratch this turn. Prefix cache will miss until "
|
||
"the rebuild persists. Investigate the previous turn's "
|
||
"update_system_prompt write path.",
|
||
agent.session_id, stored_state,
|
||
)
|
||
|
||
# First turn of a new session (or recovering from a broken stored
|
||
# prompt) — build from scratch.
|
||
agent._cached_system_prompt = agent._build_system_prompt(system_message)
|
||
|
||
# Plugin hook: on_session_start — fired once for a brand-new session, not on
|
||
# continuation.
|
||
try:
|
||
from hermes_cli.lifecycle import invoke_hook as _invoke_hook
|
||
_invoke_hook(
|
||
"on_session_start",
|
||
session_id=agent.session_id,
|
||
model=agent.model,
|
||
platform=getattr(agent, "platform", None) or "",
|
||
)
|
||
except Exception as exc:
|
||
logger.warning("on_session_start hook failed: %s", exc)
|
||
|
||
# Cold-start credits seed (L3) fallback for the first-turn path; TUI/desktop seed at
|
||
# session open, so this is idempotent (skips when _credits_state exists). Fail-open.
|
||
try:
|
||
from agent.credits_tracker import seed_credits_at_session_start
|
||
|
||
seed_credits_at_session_start(agent)
|
||
except Exception:
|
||
logger.debug("cold-start credits seed failed (fail-open)", exc_info=True)
|
||
|
||
# Persist the system prompt snapshot; the gateway path (fresh AIAgent per turn)
|
||
# reads this row every turn, so a failure here breaks prefix-cache reuse.
|
||
if agent._session_db:
|
||
try:
|
||
agent._session_db.update_system_prompt(agent.session_id, agent._cached_system_prompt)
|
||
from tools.mcp_tool import persist_agent_tool_names
|
||
|
||
persist_agent_tool_names(agent)
|
||
except Exception as exc:
|
||
logger.warning(
|
||
"Session DB update_system_prompt failed for session %s: "
|
||
"%s. Subsequent turns will rebuild the system prompt and "
|
||
"miss the prefix cache.",
|
||
agent.session_id, exc,
|
||
)
|
||
|
||
|
||
def _stored_prompt_matches_runtime(agent, prompt: str) -> bool:
|
||
"""Return False when the persisted runtime-identity lines are stale."""
|
||
|
||
def line_value(label: str) -> str:
|
||
"""Last matching line wins.
|
||
|
||
Safe ONLY for fields in the volatile tier at the END of the prompt; embedded
|
||
project context could shadow earlier fields — see ``host_info_value``."""
|
||
prefix = f"{label}:"
|
||
value = ""
|
||
for line in prompt.splitlines():
|
||
if line.startswith(prefix):
|
||
value = line[len(prefix):].strip()
|
||
return value
|
||
|
||
def host_info_value(label: str) -> str:
|
||
"""Read a field from the prompt's own host-info block.
|
||
|
||
Anchors on the FIRST ``User home directory:`` line so a user's ``AGENTS.md`` row
|
||
cannot match; a false mismatch would rebuild the prompt every turn."""
|
||
prefix = f"{label}:"
|
||
lines = prompt.splitlines()
|
||
for idx, line in enumerate(lines):
|
||
if not line.startswith("User home directory:"):
|
||
continue
|
||
for candidate in lines[idx + 1: idx + 4]:
|
||
if candidate.startswith(prefix):
|
||
return candidate[len(prefix):].strip()
|
||
return ""
|
||
|
||
stored_model = line_value("Model")
|
||
current_model = str(getattr(agent, "model", "") or "").strip()
|
||
if stored_model and current_model and stored_model != current_model:
|
||
return False
|
||
|
||
stored_provider = line_value("Provider")
|
||
current_provider = str(getattr(agent, "provider", "") or "").strip()
|
||
if stored_provider and current_provider and stored_provider != current_provider:
|
||
return False
|
||
|
||
# cwd drift check. Compare against resolve_agent_cwd() — the SAME resolver used to
|
||
# build the prompt — so TERMINAL_CWD sessions are not falsely rejected.
|
||
stored_cwd = host_info_value("Current working directory")
|
||
if stored_cwd:
|
||
if stored_cwd != str(resolve_agent_cwd()):
|
||
return False
|
||
|
||
# Runtime-surface drift: reusing a desktop-built prompt on a terminal session (or
|
||
# vice versa) would inject the wrong runtime hints.
|
||
stored_platform = line_value("Platform")
|
||
current_platform = str(getattr(agent, "platform", "") or "").strip()
|
||
if stored_platform and current_platform and stored_platform != current_platform:
|
||
return False
|
||
|
||
return True
|
||
|
||
|
||
# Named constants for the _get_continuation_prompt variants so
|
||
# _is_synthetic_compression_user_turn can recognize them by content after a crash
|
||
# persists one; SessionDB projection strips the _length_continuation_nudge tag.
|
||
_LENGTH_CONTINUATION_NETWORK_STUB = (
|
||
"[System: The previous response was cut off by a "
|
||
"network error mid-stream. Continue exactly where "
|
||
"you left off. Do not restart or repeat prior text. "
|
||
"Finish the answer directly.]"
|
||
)
|
||
_LENGTH_CONTINUATION_OUTPUT_LIMIT = (
|
||
"[System: Your previous response was truncated by the output "
|
||
"length limit. Continue exactly where you left off. Do not "
|
||
"restart or repeat prior text. Finish the answer directly.]"
|
||
)
|
||
# The dropped-tools variant interpolates tool names, so
|
||
# _is_synthetic_compression_user_turn matches this prefix with str.startswith.
|
||
_LENGTH_CONTINUATION_DROPPED_TOOLS_PREFIX = "[System: Your previous tool call "
|
||
|
||
|
||
def _get_continuation_prompt(is_partial_stub: bool, dropped_tools: Optional[List[str]] = None) -> str:
|
||
if is_partial_stub and dropped_tools:
|
||
tool_list = ", ".join(dropped_tools[:3])
|
||
return (
|
||
f"{_LENGTH_CONTINUATION_DROPPED_TOOLS_PREFIX}"
|
||
f"({tool_list}) was too large and "
|
||
"the stream timed out before it "
|
||
"could be delivered. Do NOT retry "
|
||
"the same tool call with the same "
|
||
"large content. Instead, break the "
|
||
"content into multiple smaller tool "
|
||
"calls (e.g. use multiple patch calls "
|
||
"or write smaller files). Each tool "
|
||
"call's arguments must be under ~8K "
|
||
"tokens to avoid stream timeouts.]"
|
||
)
|
||
elif is_partial_stub:
|
||
return _LENGTH_CONTINUATION_NETWORK_STUB
|
||
else:
|
||
return _LENGTH_CONTINUATION_OUTPUT_LIMIT
|
||
|
||
|
||
# Nudge for Codex/Responses turns that returned only internal reasoning: a bare retry
|
||
# would be byte-identical (nothing replayable emitted), so the model repeats it.
|
||
_CODEX_INCOMPLETE_NUDGE = (
|
||
"[System: Your previous response contained only internal reasoning and "
|
||
"never produced a visible answer or tool call. Do not keep thinking. "
|
||
"Produce your final answer as plain text now (or make the tool call "
|
||
"you were planning).]"
|
||
)
|
||
|
||
|
||
# Re-prompt after an acknowledgment-only Codex/Responses reply; named so
|
||
# _is_synthetic_compression_user_turn can recognize it like _CODEX_INCOMPLETE_NUDGE.
|
||
_CODEX_ACK_CONTINUATION_NUDGE = (
|
||
"[System: Continue now. Execute the required tool calls and only "
|
||
"send your final answer after completing the task.]"
|
||
)
|
||
|
||
# Re-prompt for finish_reason="tool_calls" with empty tool_calls. Named like
|
||
# _CODEX_ACK_CONTINUATION_NUDGE: an interrupt mid-retry can persist it.
|
||
_DROPPED_TOOLCALL_NUDGE_CONTENT = (
|
||
"Your previous turn indicated a tool call but none was "
|
||
"included. Do not narrate a plan or restate intent — issue "
|
||
"the actual tool call now to continue the task."
|
||
)
|
||
|
||
# Re-prompt for an empty response after tool calls (#9400). Named because its
|
||
# _empty_recovery_synthetic metadata flag does not survive SessionDB projection.
|
||
_EMPTY_TOOL_RESPONSE_NUDGE = (
|
||
"You just executed tool calls but returned an "
|
||
"empty response. Please process the tool "
|
||
"results above and continue with the task."
|
||
)
|
||
|
||
|
||
# Shared recovery trailer for both content-policy refusal paths (HTTP-200
|
||
# content_filter and the content_policy_blocked exception) so guidance cannot drift.
|
||
_CONTENT_POLICY_RECOVERY_HINT = (
|
||
"Try rephrasing the request, narrowing the context, or "
|
||
"adding a fallback provider with `hermes fallback add`."
|
||
)
|
||
|
||
|
||
# Memo for send-path tool-call argument canonicalization, which re-runs on every
|
||
# historical call each iteration. Sound: canonicalization is pure and deterministic;
|
||
# malformed strings raise before being stored, so the repair fallback is never memoized.
|
||
_CANON_ARGS_CACHE: Dict[str, str] = {}
|
||
_CANON_ARGS_CACHE_MAX = 4096
|
||
# Count bound alone does not bound MEMORY: argument strings can run 100KB+, so a byte
|
||
# budget bounds the worst case while keeping the memo effective for ~0.5-2KB args.
|
||
_CANON_ARGS_CACHE_MAX_BYTES = 32 * 1024 * 1024
|
||
_canon_args_cache_bytes = 0
|
||
|
||
|
||
def _canonicalize_tool_call_arguments(arg_str: str) -> str:
|
||
"""Return the canonical wire form of a tool-call arguments JSON string.
|
||
|
||
Raises whatever ``json.loads`` raises on malformed input; the caller falls back to
|
||
``_repair_tool_call_arguments``."""
|
||
global _canon_args_cache_bytes
|
||
cached = _CANON_ARGS_CACHE.get(arg_str)
|
||
if cached is not None:
|
||
return cached
|
||
canonical = json.dumps(
|
||
json.loads(arg_str), separators=(",", ":"), sort_keys=True,
|
||
)
|
||
_CANON_ARGS_CACHE[arg_str] = canonical
|
||
_canon_args_cache_bytes += len(arg_str) + len(canonical)
|
||
while len(_CANON_ARGS_CACHE) > _CANON_ARGS_CACHE_MAX or (
|
||
_canon_args_cache_bytes > _CANON_ARGS_CACHE_MAX_BYTES
|
||
and len(_CANON_ARGS_CACHE) > 1
|
||
):
|
||
try:
|
||
evicted_key = next(iter(_CANON_ARGS_CACHE))
|
||
evicted_val = _CANON_ARGS_CACHE.pop(evicted_key)
|
||
_canon_args_cache_bytes -= len(evicted_key) + len(evicted_val)
|
||
except (StopIteration, KeyError, RuntimeError):
|
||
break
|
||
return canonical
|
||
|
||
|
||
def _clone_message_for_send(msg):
|
||
"""Structural clone of a history message for the per-call API copy.
|
||
|
||
Clones every dict/list recursively while sharing immutable leaves, so in-place
|
||
send-path rewrites can never reach the persisted transcript (#80498). Cheaper than
|
||
copy.deepcopy; messages are JSON-shaped and acyclic, tuples are shared as leaves."""
|
||
if isinstance(msg, dict):
|
||
return {
|
||
k: _clone_message_for_send(v) if isinstance(v, (dict, list)) else v
|
||
for k, v in msg.items()
|
||
}
|
||
if isinstance(msg, list):
|
||
return [
|
||
_clone_message_for_send(v) if isinstance(v, (dict, list)) else v
|
||
for v in msg
|
||
]
|
||
return msg
|
||
|
||
|
||
def _canonicalize_api_tool_calls(api_messages) -> None:
|
||
"""Canonicalize tool-call argument JSON on the send-path message copy.
|
||
|
||
Rewrites ``tool_calls`` in place (copy-on-write for the dicts it touches; persisted
|
||
history untouched). The memo bounds parse/serialize to one per UNIQUE string."""
|
||
for am in api_messages:
|
||
tcs = am.get("tool_calls")
|
||
if not tcs:
|
||
continue
|
||
new_tcs = []
|
||
for tc in tcs:
|
||
if isinstance(tc, dict) and "function" in tc:
|
||
try:
|
||
tc = {**tc, "function": {
|
||
**tc["function"],
|
||
"arguments": _canonicalize_tool_call_arguments(
|
||
tc["function"]["arguments"]
|
||
),
|
||
}}
|
||
except Exception:
|
||
# Copy-on-write as defense in depth: callers may pass shallow
|
||
# copies, and writing into a shared tc["function"] rewrote the
|
||
# stored turn with "{}" on the unrepairable path (#80498).
|
||
tc = {**tc, "function": {
|
||
**tc["function"],
|
||
"arguments": _repair_tool_call_arguments(
|
||
tc["function"]["arguments"],
|
||
tc["function"].get("name", "?"),
|
||
),
|
||
}}
|
||
new_tcs.append(tc)
|
||
am["tool_calls"] = new_tcs
|
||
|
||
|
||
def _invalid_tool_name_error_content(name: str, valid_tool_names) -> str:
|
||
"""Error-result content for a tool call whose name isn't a real tool.
|
||
|
||
A blank name is a model echoing tool-call syntax seen in data, not a typo (#47967);
|
||
dumping the catalog feeds that loop, so send a terse error instead. A nonempty wrong
|
||
name still gets the catalog so the model can self-correct."""
|
||
if not (name or "").strip():
|
||
return (
|
||
"Tool call rejected: the tool name was empty. "
|
||
"If tool-call XML or JSON appeared in file "
|
||
"contents or tool output, that is data — do "
|
||
"not re-emit it as a tool call. To call a "
|
||
"tool, use a valid name from your tool list; "
|
||
"otherwise reply in plain text."
|
||
)
|
||
available = ", ".join(sorted(valid_tool_names))
|
||
return f"Tool '{name}' does not exist. Available tools: {available}"
|
||
|
||
|
||
def _content_policy_blocked_result(
|
||
messages: List[Dict],
|
||
api_call_count: int,
|
||
*,
|
||
final_response: str,
|
||
error_detail: str,
|
||
) -> Dict[str, Any]:
|
||
"""Build the terminal turn result for a content-policy block.
|
||
|
||
Refusals are deterministic for the unchanged prompt, so no retry; both the HTTP-200
|
||
and exception paths return this shape with a ``content_policy_blocked:`` error."""
|
||
return {
|
||
"final_response": final_response,
|
||
"messages": messages,
|
||
"api_calls": api_call_count,
|
||
"completed": False,
|
||
"failed": True,
|
||
"error": f"content_policy_blocked: {error_detail}",
|
||
}
|
||
|
||
|
||
def _compression_deferred_result(
|
||
agent,
|
||
messages: List[Dict],
|
||
api_call_count: int,
|
||
reason: str = "lock",
|
||
) -> Dict[str, Any]:
|
||
"""Build the soft turn result for a transiently-deferred compression.
|
||
|
||
Both ``reason="lock"`` and ``reason="transient_block"`` must end as
|
||
``compression_deferred``, never ``compression_exhausted`` — the gateway wipes the
|
||
session on exhaustion (#9893/#35809). ``failed`` stays False; the turn persists."""
|
||
if reason == "transient_block":
|
||
block = getattr(agent, "_compression_blocked_transient", None)
|
||
logger.info(
|
||
"turn deferred: compression transiently blocked (%s) "
|
||
"(session=%s) — not counting as compression exhaustion",
|
||
block if isinstance(block, str) else "unknown guard",
|
||
agent.session_id or "none",
|
||
)
|
||
_final = (
|
||
"Context compression is temporarily paused after a recent "
|
||
"failed attempt. Please retry in a moment — compression will "
|
||
"resume automatically (or run /compress to force a retry now)."
|
||
)
|
||
else:
|
||
holder = getattr(agent, "_compression_skipped_due_to_lock", None)
|
||
logger.info(
|
||
"turn deferred: compression lock held by another path "
|
||
"(session=%s holder=%s) — not counting as compression exhaustion",
|
||
agent.session_id or "none",
|
||
holder if isinstance(holder, str) else "unconfirmed",
|
||
)
|
||
_final = (
|
||
"Context compression is already running for this session. "
|
||
"Please retry in a moment — your next message will be processed "
|
||
"once the concurrent compression finishes."
|
||
)
|
||
try:
|
||
agent._flush_status_buffer()
|
||
except Exception:
|
||
pass
|
||
return {
|
||
"final_response": _final,
|
||
"messages": messages,
|
||
"completed": False,
|
||
"api_calls": api_call_count,
|
||
"error": _final,
|
||
"partial": True,
|
||
"failed": False,
|
||
"compression_deferred": True,
|
||
"session_id": agent.session_id,
|
||
}
|
||
|
||
|
||
def _provider_overflow_exhausted_result(
|
||
agent,
|
||
messages: List[Dict],
|
||
conversation_history,
|
||
api_call_count: int,
|
||
request_pressure_tokens: int,
|
||
max_compression_attempts: int,
|
||
) -> Dict[str, Any]:
|
||
"""Fail closed when a rebuilt request is still too large after recovery."""
|
||
agent._flush_status_buffer()
|
||
logger.error(
|
||
"%sContext compression failed after %d attempts; rebuilt request "
|
||
"remains over threshold at ~%s tokens.",
|
||
agent.log_prefix,
|
||
max_compression_attempts,
|
||
f"{request_pressure_tokens:,}",
|
||
)
|
||
agent._persist_session(messages, conversation_history)
|
||
final_response = (
|
||
"Context length exceeded: compression could not reduce the rebuilt "
|
||
"request below the safe threshold."
|
||
)
|
||
return {
|
||
"final_response": final_response,
|
||
"messages": messages,
|
||
"completed": False,
|
||
"api_calls": api_call_count,
|
||
"error": final_response,
|
||
"partial": True,
|
||
"failed": True,
|
||
"compression_exhausted": True,
|
||
"turn_exit_reason": "context_compression_exhausted",
|
||
}
|
||
|
||
|
||
def _rewrite_system_content_blocks(system_message: dict, effective: str) -> bool:
|
||
"""Rewrite a cache-decorated system message in place, keeping its blocks.
|
||
|
||
Assigning a bare string over the ``[static prefix, volatile tail]`` block list drops
|
||
both cache_control breakpoints. Only the LAST ``Model:``/``Provider:`` lines change.
|
||
Returns False when the shape cannot be safely patched."""
|
||
content = system_message.get("content")
|
||
if not isinstance(content, list) or not content:
|
||
return False
|
||
if not all(
|
||
isinstance(part, dict) and part.get("type") == "text" for part in content
|
||
):
|
||
return False
|
||
if len(content) == 1:
|
||
content[0]["text"] = effective
|
||
return True
|
||
if len(content) == 2:
|
||
head = content[0].get("text") or ""
|
||
if head and effective.startswith(head):
|
||
tail = effective[len(head):]
|
||
if tail:
|
||
content[1]["text"] = tail
|
||
return True
|
||
return False
|
||
|
||
|
||
def _sync_failover_system_message(agent, api_messages, active_system_prompt):
|
||
"""Refresh the in-flight system message after a provider failover.
|
||
|
||
``try_activate_fallback`` rewrites the identity lines on ``_cached_system_prompt``,
|
||
but this call block's ``api_messages`` were built pre-failover and are reused each
|
||
retry. Mutates ``api_messages[0]`` in place; returns the new ``active_system_prompt``."""
|
||
sp = getattr(agent, "_cached_system_prompt", None)
|
||
if not isinstance(sp, str) or not sp:
|
||
return active_system_prompt
|
||
if api_messages and api_messages[0].get("role") == "system":
|
||
effective = sp
|
||
if agent.ephemeral_system_prompt:
|
||
effective = (effective + "\n\n" + agent.ephemeral_system_prompt).strip()
|
||
if not _rewrite_system_content_blocks(api_messages[0], effective):
|
||
api_messages[0]["content"] = effective
|
||
return sp
|
||
|
||
|
||
def _arm_fallback_restart(agent, api_messages, active_system_prompt, _retry):
|
||
"""After ``_try_activate_fallback`` succeeded: sync the system message to the new
|
||
provider and arm ``restart_with_rebuilt_messages`` (re-issue against the fallback,
|
||
refunding the stalled attempt). Callers also reset ``retry_count`` /
|
||
``compression_attempts`` to 0 and ``break`` the retry loop."""
|
||
active_system_prompt = _sync_failover_system_message(
|
||
agent, api_messages, active_system_prompt)
|
||
_retry.primary_recovery_attempted = False
|
||
_retry.restart_with_rebuilt_messages = True
|
||
return active_system_prompt
|
||
|
||
|
||
def _ensure_cached_system_prompt_static(agent, system_message=None) -> None:
|
||
"""Rebuild ``_cached_system_prompt_static`` when caching becomes active (#72626).
|
||
|
||
Sessions restored under a cache-off primary skip the static-prefix rebuild; a later
|
||
failover to a cache-on provider would otherwise silently fall back to the legacy
|
||
system-plus-3 layout. Wraps ``reconstruct_static_prefix`` (memoizes failures)."""
|
||
from agent.system_prompt import reconstruct_static_prefix
|
||
|
||
reconstruct_static_prefix(
|
||
agent, system_message=system_message, log_label="failover redecoration"
|
||
)
|
||
|
||
|
||
def _peel_moa_guidance(
|
||
messages: List[Dict[str, Any]],
|
||
guidance: Any,
|
||
) -> List[Dict[str, Any]]:
|
||
"""Remove MoA reference guidance attached by ``_attach_reference_guidance``.
|
||
|
||
Kept adjacent to the attach so the forward/inverse shapes evolve together."""
|
||
from agent.moa_loop import peel_reference_guidance
|
||
|
||
return peel_reference_guidance(messages, guidance)
|
||
|
||
|
||
def _redecorate_prompt_cache_for_provider(
|
||
agent,
|
||
api_messages: List[Dict[str, Any]],
|
||
*,
|
||
system_message=None,
|
||
moa_prepared: Optional[Dict[str, Any]] = None,
|
||
tools_for_api: Optional[List[Dict[str, Any]]] = None,
|
||
) -> tuple[List[Dict[str, Any]], Optional[Dict[str, Any]]] | tuple[List[Dict[str, Any]], Optional[Dict[str, Any]], List[Dict[str, Any]]]:
|
||
"""Strip and re-apply cache_control for the *current* provider policy.
|
||
|
||
Decoration runs once per call block for the primary provider, but failover
|
||
``continue`` paths reuse ``api_messages`` (#72626), so reshape at the top of each
|
||
retry from the mutated in-flight request. MoA guidance is peeled and rebased."""
|
||
messages: List[Dict[str, Any]] = [
|
||
dict(m) if isinstance(m, dict) else m for m in (api_messages or [])
|
||
]
|
||
prepared = moa_prepared
|
||
guidance = prepared.get("guidance") if isinstance(prepared, dict) else None
|
||
if guidance:
|
||
messages = _peel_moa_guidance(messages, guidance)
|
||
|
||
strip_anthropic_cache_control(messages)
|
||
planned_tools = strip_anthropic_tool_cache_control(
|
||
tools_for_api if tools_for_api is not None else getattr(agent, "tools", [])
|
||
)
|
||
|
||
if prepared is not None and getattr(agent, "provider", None) == "moa":
|
||
# Prepared MoA state is canonical: the synchronous acting-aggregator
|
||
# sender owns its destination-local cache plan after it resolves the slot.
|
||
completions = getattr(getattr(agent.client, "chat", None), "completions", None)
|
||
rebase = getattr(completions, "rebase_prepared_request", None)
|
||
if callable(rebase):
|
||
prepared = rebase(prepared, messages)
|
||
messages = prepared["messages"]
|
||
if tools_for_api is None:
|
||
return messages, prepared
|
||
return messages, prepared, planned_tools
|
||
|
||
# Direct attribute access, not getattr: the flags are always initialized on
|
||
# AIAgent, and a default would mask a real init bug as silent cache-off.
|
||
if agent._use_prompt_caching:
|
||
_ensure_cached_system_prompt_static(agent, system_message=system_message)
|
||
static = getattr(agent, "_cached_system_prompt_static", None)
|
||
direct_tool_cache = getattr(
|
||
agent,
|
||
"_direct_native_anthropic_tool_cache_capability",
|
||
lambda: False,
|
||
)()
|
||
from agent.prompt_caching import envelope_tool_part_cache_markers_supported
|
||
|
||
plan = build_prompt_cache_plan(
|
||
messages,
|
||
planned_tools,
|
||
# Clamp per-destination: a configured 1h regresses to 5m on
|
||
# Qwen/Alibaba routes, whose context cache is 5m-only (#84733).
|
||
cache_ttl=effective_cache_ttl(
|
||
agent._cache_ttl,
|
||
provider=agent.provider,
|
||
model=agent.model,
|
||
),
|
||
native_anthropic=agent._use_native_cache_layout,
|
||
static_system_prefix=static if isinstance(static, str) else None,
|
||
direct_native_tool_cache=direct_tool_cache,
|
||
# LiteLLM-style envelope routes forward part-level markers into
|
||
# tool_result.content[] → non-retryable 400 (#89886).
|
||
tool_part_markers=envelope_tool_part_cache_markers_supported(
|
||
getattr(agent, "provider", ""), getattr(agent, "base_url", "")
|
||
),
|
||
)
|
||
messages = plan.messages
|
||
planned_tools = plan.tools
|
||
|
||
if tools_for_api is None:
|
||
return messages, prepared
|
||
return messages, prepared, planned_tools
|
||
|
||
|
||
def _apply_context_engine_selection(
|
||
agent: Any,
|
||
api_messages: List[Dict[str, Any]],
|
||
conversation_messages: List[Dict[str, Any]],
|
||
incoming_message: Optional[Dict[str, Any]],
|
||
*,
|
||
logger: Any,
|
||
) -> List[Dict[str, Any]]:
|
||
"""Run the optional per-turn ``ContextEngine.select_context()`` hook.
|
||
|
||
Returns the (possibly replaced) request list. Fail-open: a missing hook, exception,
|
||
or invalid return yields ``api_messages`` unchanged; history is never mutated."""
|
||
engine = getattr(agent, "context_compressor", None)
|
||
if engine is None or not hasattr(engine, "select_context"):
|
||
return api_messages
|
||
|
||
# Skip the no-op base ``select_context`` so non-implementing engines pay nothing;
|
||
# ``hasattr`` is not enough: the ABC defines a default. Lazy import avoids a cycle.
|
||
try:
|
||
from agent.context_engine import ContextEngine as _CE
|
||
if getattr(engine.select_context, "__func__", None) is _CE.select_context:
|
||
return api_messages
|
||
except Exception:
|
||
pass
|
||
|
||
session_label = getattr(agent, "session_id", None) or "-"
|
||
# Structural clones: the engine must not be able to write through nested
|
||
# containers into persisted history; only the request list is acted on (#80498).
|
||
_conv_copy = [_clone_message_for_send(m) for m in conversation_messages] \
|
||
if conversation_messages is not None else None
|
||
_incoming_copy = _clone_message_for_send(incoming_message) if isinstance(incoming_message, dict) else incoming_message
|
||
try:
|
||
selected = engine.select_context(
|
||
api_messages,
|
||
conversation_messages=_conv_copy,
|
||
incoming_message=_incoming_copy,
|
||
budget_tokens=getattr(engine, "context_length", 0) or 0,
|
||
)
|
||
except Exception:
|
||
logger.warning(
|
||
"Context engine select_context hook failed; using unmodified "
|
||
"request messages (session=%s)",
|
||
session_label,
|
||
exc_info=True,
|
||
)
|
||
return api_messages
|
||
|
||
if selected is None:
|
||
return api_messages
|
||
# Require a NON-EMPTY list of dicts: ``all([])`` is ``True``, so a ``[]`` from a
|
||
# buggy engine would otherwise replace the request instead of failing open.
|
||
if isinstance(selected, list) and selected and all(isinstance(m, dict) for m in selected):
|
||
return selected
|
||
|
||
logger.warning(
|
||
"Context engine select_context returned an invalid value "
|
||
"(not a non-empty list of dicts); ignoring (session=%s)",
|
||
session_label,
|
||
)
|
||
return api_messages
|
||
|
||
|
||
def _notify_context_engine_turn_complete(
|
||
agent: Any,
|
||
messages: List[Dict[str, Any]],
|
||
*,
|
||
usage: Optional[Dict[str, Any]] = None,
|
||
logger: Any,
|
||
**meta: Any,
|
||
) -> None:
|
||
"""Notify the active context engine that a user turn has finished.
|
||
|
||
Fail-open: a missing/no-op hook or any exception is swallowed. ``messages`` is
|
||
passed as a copy so the engine cannot mutate the persisted transcript."""
|
||
engine = getattr(agent, "context_compressor", None)
|
||
hook = getattr(engine, "on_turn_complete", None)
|
||
if engine is None or not callable(hook):
|
||
return
|
||
|
||
# Skip the no-op base ``on_turn_complete`` so non-implementing engines pay nothing
|
||
# per turn. Lazy import avoids an import cycle with agent.context_engine.
|
||
try:
|
||
from agent.context_engine import ContextEngine as _CE
|
||
if getattr(hook, "__func__", None) is _CE.on_turn_complete:
|
||
return
|
||
except Exception:
|
||
pass
|
||
|
||
try:
|
||
hook(
|
||
# Structural clones: dict(m) would let a hook write into nested containers
|
||
# of the persisted transcript (#80498).
|
||
[_clone_message_for_send(m) for m in messages],
|
||
usage=usage,
|
||
**meta,
|
||
)
|
||
except Exception:
|
||
logger.warning(
|
||
"Context engine on_turn_complete hook failed (session=%s)",
|
||
getattr(agent, "session_id", None) or "-",
|
||
exc_info=True,
|
||
)
|
||
|
||
|
||
def run_conversation(
|
||
agent,
|
||
user_message: Any,
|
||
system_message: str = None,
|
||
conversation_history: List[Dict[str, Any]] = None,
|
||
task_id: str = None,
|
||
stream_callback: Optional[callable] = None,
|
||
persist_user_message: Optional[Any] = None,
|
||
persist_user_timestamp: Optional[float] = None,
|
||
persist_user_display_kind: Optional[str] = None,
|
||
persist_user_display_metadata: Optional[Dict[str, Any]] = None,
|
||
persist_user_platform_id: Optional[str] = None,
|
||
moa_config: Optional[dict[str, Any]] = None,
|
||
) -> Dict[str, Any]:
|
||
"""Run a complete conversation with tool calling until completion.
|
||
|
||
Args:
|
||
stream_callback: per-text-delta callback (TTS); None uses the non-streaming path.
|
||
persist_user_message: clean text to store when ``user_message`` carries API-only
|
||
synthetic prefixes; ``persist_user_timestamp`` / ``persist_user_platform_id``
|
||
are stored as metadata (platform id lets restart drain recovery dedup).
|
||
persist_user_display_kind/metadata: display-only event rendering (``auto_continue``,
|
||
``model_switch``); the model still receives the message unchanged.
|
||
|
||
Returns: dict with the final response and message history."""
|
||
if moa_config is None:
|
||
try:
|
||
from hermes_cli.moa_config import decode_moa_turn
|
||
|
||
_decoded_message, _decoded_moa_config = decode_moa_turn(user_message)
|
||
if _decoded_moa_config is not None:
|
||
user_message = _decoded_message
|
||
moa_config = _decoded_moa_config
|
||
if persist_user_message is None:
|
||
persist_user_message = _decoded_message
|
||
except Exception:
|
||
pass
|
||
|
||
# The gateway caches agents across turns; compression state is per-turn, or a stale
|
||
# in-place boundary would make a later uncompressed result look compacted.
|
||
agent._last_compaction_in_place = False
|
||
agent._last_compression_attempt_recorded = False
|
||
agent._last_compression_attempt_in_place = None
|
||
begin_fast_mode_turn(agent, conversation_history)
|
||
|
||
# Adopt ~/.hermes/.env credential/base-url edits made since the last turn — a
|
||
# Settings save updates .env, not this worker's client (#67821). No-op if unchanged.
|
||
try:
|
||
agent._try_refresh_env_client_credentials()
|
||
except Exception:
|
||
logger.debug("per-turn env credential refresh failed", exc_info=True)
|
||
|
||
# ── Per-turn setup (the prologue) ──
|
||
# All once-per-turn setup lives in ``build_turn_context`` (agent/turn_context.py);
|
||
# it mutates ``agent`` as the inline code did and returns the locals the loop reads.
|
||
try:
|
||
_ctx = build_turn_context(
|
||
agent,
|
||
user_message,
|
||
system_message,
|
||
conversation_history,
|
||
task_id,
|
||
stream_callback,
|
||
persist_user_message,
|
||
persist_user_timestamp,
|
||
persist_user_display_kind=persist_user_display_kind,
|
||
persist_user_display_metadata=persist_user_display_metadata,
|
||
persist_user_platform_id=persist_user_platform_id,
|
||
restore_or_build_system_prompt=_restore_or_build_system_prompt,
|
||
install_safe_stdio=_install_safe_stdio,
|
||
sanitize_surrogates=_sanitize_surrogates,
|
||
summarize_user_message_for_log=_summarize_user_message_for_log,
|
||
set_session_context=set_session_context,
|
||
set_current_write_origin=set_current_write_origin,
|
||
ra=_ra,
|
||
# MoA turns append per-call aggregated context to the API copy of the
|
||
# user message, so no byte-stable api_content sidecar can be stamped.
|
||
moa_active=bool(moa_config),
|
||
)
|
||
except PreflightCompressionTimedOut as _preflight_timeout_exc:
|
||
# Preflight compression timed out; no provider call sent (#98424). Return the
|
||
# typed recovery result: surfaces hide raw exception text, which would bury the
|
||
# actionable guidance and skip the compression_exhausted recovery contract.
|
||
logger.warning(
|
||
"Turn-start preflight compression timed out — ending turn with "
|
||
"typed recovery result: %s",
|
||
_preflight_timeout_exc,
|
||
)
|
||
# Clear the tripwire slot note_turn_start registered; the early return skips the
|
||
# persist funnel that clears it. The user row is deliberately NOT persisted:
|
||
# the gateway skips persistence for compression_exhausted results (#7100).
|
||
from agent.agent_runtime_helpers import note_turn_persisted
|
||
|
||
note_turn_persisted(agent)
|
||
# Not _COMPRESSION_TIMEOUT_FINAL_RESPONSE — that describes a different state
|
||
# (compression ran, could not reduce); the exception text carries the guidance.
|
||
_final_response = str(_preflight_timeout_exc)
|
||
return {
|
||
"final_response": _final_response,
|
||
"messages": list(conversation_history or []),
|
||
"completed": False,
|
||
"api_calls": 0,
|
||
"error": _final_response,
|
||
"partial": True,
|
||
"failed": True,
|
||
"compression_exhausted": True,
|
||
"turn_exit_reason": "context_compression_timeout",
|
||
}
|
||
user_message = _ctx.user_message
|
||
original_user_message = _ctx.original_user_message
|
||
messages = _ctx.messages
|
||
conversation_history = _ctx.conversation_history
|
||
active_system_prompt = _ctx.active_system_prompt
|
||
effective_task_id = _ctx.effective_task_id
|
||
turn_id = _ctx.turn_id
|
||
current_turn_user_idx = _ctx.current_turn_user_idx
|
||
_should_review_memory = _ctx.should_review_memory
|
||
_plugin_user_context = _ctx.plugin_user_context
|
||
_ext_prefetch_cache = _ctx.ext_prefetch_cache
|
||
|
||
# Commentary deduplication spans all provider continuations and tool calls
|
||
# within one user turn, but must not suppress the same phrase next turn.
|
||
agent._delivered_interim_texts = set()
|
||
# A configured SessionDB append failure halts only the affected turn. A
|
||
# cached gateway agent must recover on the next message if storage did.
|
||
agent._incremental_persistence_failed = False
|
||
# Cause of the last persistence failure this turn ('locked'/'disk'/'unknown', see
|
||
# hermes_state.classify_persistence_error). Reset so a prior diagnosis cannot leak.
|
||
agent._last_persistence_error_cause = None
|
||
# Per-turn diagnostic: a failed compression-tip adoption in a previous
|
||
# turn's flush must not be reported against this turn.
|
||
agent._compression_adoption_failed = False
|
||
|
||
# Main conversation loop counters (pure locals consumed by the loop below).
|
||
api_call_count = 0
|
||
final_response = None
|
||
interrupted = False
|
||
failed = False
|
||
codex_ack_continuations = 0
|
||
length_continue_retries = 0
|
||
# Turn-scoped one-shot: armed by a thinking-only truncation, consumed by
|
||
# build_api_kwargs; must not survive an interrupted turn into the next one.
|
||
agent._ephemeral_reasoning_off = False
|
||
# Total outer-loop exceptions this turn (#92450) — see _MAX_OUTER_LOOP_ERRORS.
|
||
_outer_error_count = 0
|
||
truncated_tool_call_retries = 0
|
||
truncated_response_parts: List[str] = []
|
||
compression_attempts = 0
|
||
# Per-turn compression attempt cap shared by the pre-API gate, 413 handlers and
|
||
# post-tool compaction; a consecutive-ineffective-attempt backstop, rearmed only
|
||
# after a provider response reports a prompt below threshold. Default 3 if unset.
|
||
max_compression_attempts = getattr(agent, "max_compression_attempts", 3)
|
||
_last_preflight_pressure: Optional[int] = None
|
||
_preflight_compression_blocked = _ctx.preflight_compression_blocked
|
||
# A provider overflow outweighs the rough-estimate calibration that defers preflight
|
||
# after compaction: stay armed until the rebuilt request is below the threshold.
|
||
_provider_overflow_recovery_pending = False
|
||
# Armed when a compression host-timeout ends the turn; finalize reuses the gateway
|
||
# context-recovery contract (error/partial/compression_exhausted) (#98722).
|
||
_compression_timeout_exhausted = False
|
||
_turn_exit_reason = "unknown" # Diagnostic: why the loop ended
|
||
# Last answer held back by a verification gate: if the continuation exhausts the
|
||
# budget this is the best user-facing result, distinct from error/recovery text.
|
||
_pending_verification_response = None
|
||
# Whether the pending verification candidate was already streamed as interim.
|
||
# ``_response_was_previewed`` is set ONLY if it becomes the final response (#65919).
|
||
_pending_verification_response_previewed = False
|
||
# If pre-API compression fires after MoA advisors ran, retain their guidance and
|
||
# rebase it onto the compacted transcript next iteration — no second fan-out.
|
||
pending_moa_prepared_request = None
|
||
|
||
# Per-turn tally of credential-pool refreshes by (provider, pool-entry-id): caps
|
||
# same-entry refreshes on a persistent 401 so fallback takes over (#26080).
|
||
agent._auth_pool_refresh_counts = {}
|
||
|
||
# Per-turn usage forwarded to the context engine's on_turn_complete() hook; left
|
||
# None on turns that never reach a response so the hook never sees stale usage.
|
||
agent._last_turn_usage = None
|
||
|
||
# Opt-in runtime: api_mode == codex_app_server hands the whole turn to the codex
|
||
# app-server subprocess (see agent/transports/codex_app_server_session.py).
|
||
if agent.api_mode == "codex_app_server":
|
||
return agent._run_codex_app_server_turn(
|
||
user_message=user_message,
|
||
original_user_message=original_user_message,
|
||
messages=messages,
|
||
effective_task_id=effective_task_id,
|
||
should_review_memory=_should_review_memory,
|
||
)
|
||
|
||
while (api_call_count < agent.max_iterations and agent.iteration_budget.remaining > 0) or agent._budget_grace_call:
|
||
_redirect_text = agent._drain_pending_redirect()
|
||
if _redirect_text:
|
||
_apply_active_turn_redirect(agent, messages, _redirect_text)
|
||
if isinstance(original_user_message, str):
|
||
original_user_message = (
|
||
f"{original_user_message}\n\n"
|
||
f"User correction during the turn: {_redirect_text}"
|
||
)
|
||
agent._persist_session(messages, conversation_history)
|
||
|
||
# Reset per-turn checkpoint dedup so each iteration can take one snapshot
|
||
agent._checkpoint_mgr.new_turn()
|
||
|
||
# Check for interrupt request (e.g., user sent new message)
|
||
if agent._interrupt_requested:
|
||
interrupted = True
|
||
_turn_exit_reason = "interrupted_by_user"
|
||
if not agent.quiet_mode:
|
||
agent._safe_print("\n⚡ Breaking out of tool loop due to interrupt...")
|
||
break
|
||
|
||
# Aggregate input budget for detached auxiliary forks: bounds the whole review,
|
||
# not each request. Checked between iterations so the crossing request's writes
|
||
# have landed, mirroring the iteration-budget exit (#93057).
|
||
if _review_input_budget_exhausted(agent):
|
||
_turn_exit_reason = "review_input_budget_exhausted"
|
||
if not agent.quiet_mode:
|
||
agent._safe_print(
|
||
f"\n⏹️ Review input budget exhausted "
|
||
f"({int(agent.session_input_tokens):,} tokens) — stopping "
|
||
f"the review tool loop before the next provider call."
|
||
)
|
||
break
|
||
|
||
api_call_count += 1
|
||
agent._api_call_count = api_call_count
|
||
agent._touch_activity(f"starting API call #{api_call_count}")
|
||
|
||
# Grace call: budget exhausted but the model gets one more call. Consume the
|
||
# flag so the loop exits after this iteration regardless of outcome.
|
||
if agent._budget_grace_call:
|
||
agent._budget_grace_call = False
|
||
elif not agent.iteration_budget.consume():
|
||
_turn_exit_reason = "budget_exhausted"
|
||
if not agent.quiet_mode:
|
||
agent._safe_print(f"\n⚠️ Iteration budget exhausted ({agent.iteration_budget.used}/{agent.iteration_budget.max_total} iterations used)")
|
||
break
|
||
|
||
_ip = prepare_iteration(
|
||
agent,
|
||
messages=messages,
|
||
api_call_count=api_call_count,
|
||
)
|
||
messages = _ip.messages
|
||
request_logger = _ip.request_logger
|
||
|
||
_rr = assemble_api_request(
|
||
agent,
|
||
messages=messages,
|
||
current_turn_user_idx=current_turn_user_idx,
|
||
_ext_prefetch_cache=_ext_prefetch_cache,
|
||
_plugin_user_context=_plugin_user_context,
|
||
moa_config=moa_config,
|
||
active_system_prompt=active_system_prompt,
|
||
original_user_message=original_user_message,
|
||
pending_moa_prepared_request=pending_moa_prepared_request,
|
||
request_logger=request_logger,
|
||
)
|
||
api_messages = _rr.api_messages
|
||
tools_for_api = _rr.tools_for_api
|
||
_moa_prepared_request = _rr._moa_prepared_request
|
||
pending_moa_prepared_request = _rr.pending_moa_prepared_request
|
||
approx_tokens = _rr.approx_tokens
|
||
request_pressure_tokens = _rr.request_pressure_tokens
|
||
total_chars = _rr.total_chars
|
||
|
||
_pg = run_preflight_gate(
|
||
agent,
|
||
request_pressure_tokens=request_pressure_tokens,
|
||
_moa_prepared_request=_moa_prepared_request,
|
||
pending_moa_prepared_request=pending_moa_prepared_request,
|
||
messages=messages,
|
||
system_message=system_message,
|
||
user_message=user_message,
|
||
active_system_prompt=active_system_prompt,
|
||
conversation_history=conversation_history,
|
||
api_call_count=api_call_count,
|
||
compression_attempts=compression_attempts,
|
||
max_compression_attempts=max_compression_attempts,
|
||
effective_task_id=effective_task_id,
|
||
final_response=final_response,
|
||
failed=failed,
|
||
_turn_exit_reason=_turn_exit_reason,
|
||
_compression_timeout_exhausted=_compression_timeout_exhausted,
|
||
_preflight_compression_blocked=_preflight_compression_blocked,
|
||
_provider_overflow_recovery_pending=_provider_overflow_recovery_pending,
|
||
_last_preflight_pressure=_last_preflight_pressure,
|
||
)
|
||
pending_moa_prepared_request = _pg.pending_moa_prepared_request
|
||
messages = _pg.messages
|
||
active_system_prompt = _pg.active_system_prompt
|
||
conversation_history = _pg.conversation_history
|
||
api_call_count = _pg.api_call_count
|
||
compression_attempts = _pg.compression_attempts
|
||
final_response = _pg.final_response
|
||
failed = _pg.failed
|
||
_turn_exit_reason = _pg._turn_exit_reason
|
||
_compression_timeout_exhausted = _pg._compression_timeout_exhausted
|
||
_preflight_compression_blocked = _pg._preflight_compression_blocked
|
||
_provider_overflow_recovery_pending = _pg._provider_overflow_recovery_pending
|
||
_last_preflight_pressure = _pg._last_preflight_pressure
|
||
if _pg.action == "return":
|
||
return _pg.result
|
||
if _pg.action == "break":
|
||
break
|
||
if _pg.action == "continue":
|
||
continue
|
||
|
||
# Thinking spinner for quiet mode (animated during API call)
|
||
thinking_spinner = None
|
||
|
||
if not agent.quiet_mode:
|
||
agent._vprint(f"\n{agent.log_prefix}🔄 Making API call #{api_call_count}/{agent.max_iterations}...")
|
||
agent._vprint(f"{agent.log_prefix} 📊 Request size: {len(api_messages)} messages, ~{approx_tokens:,} tokens (~{total_chars:,} chars)")
|
||
agent._vprint(f"{agent.log_prefix} 🔧 Available tools: {len(agent.tools) if agent.tools else 0}")
|
||
else:
|
||
# Animated thinking spinner in quiet mode
|
||
face = random.choice(KawaiiSpinner.get_thinking_faces())
|
||
verb = random.choice(KawaiiSpinner.get_thinking_verbs())
|
||
if agent.thinking_callback:
|
||
# CLI TUI mode: use prompt_toolkit widget instead of raw spinner
|
||
# (works in both streaming and non-streaming modes)
|
||
agent.thinking_callback(f"{face} {verb}...")
|
||
elif not agent._has_stream_consumers() and agent._should_start_quiet_spinner():
|
||
# Raw KawaiiSpinner only when no streaming consumers and the
|
||
# spinner output has a safe sink.
|
||
spinner_type = random.choice(['brain', 'sparkle', 'pulse', 'moon', 'star'])
|
||
thinking_spinner = KawaiiSpinner(f"{face} {verb}...", spinner_type=spinner_type, print_fn=agent._print_fn)
|
||
thinking_spinner.start()
|
||
|
||
# Log request details if verbose
|
||
if agent.verbose_logging:
|
||
logging.debug(f"API Request - Model: {agent.model}, Messages: {len(messages)}, Tools: {len(agent.tools) if agent.tools else 0}")
|
||
logging.debug(f"Last message role: {messages[-1]['role'] if messages else 'none'}")
|
||
logging.debug(f"Total message size: ~{approx_tokens:,} tokens")
|
||
|
||
api_start_time = time.time()
|
||
retry_count = 0
|
||
max_retries = agent._api_max_retries
|
||
_retry = TurnRetryState()
|
||
|
||
finish_reason = "stop"
|
||
response = None # Guard against UnboundLocalError if all retries fail
|
||
api_kwargs = None # Guard against UnboundLocalError in except handler
|
||
api_request_id = f"{turn_id}:api:{api_call_count}"
|
||
agent._current_api_request_id = api_request_id
|
||
|
||
while retry_count < max_retries:
|
||
# ── Nous Portal rate limit guard ──────────────────────
|
||
# Skip the call if another session recorded a rate limit: every attempt
|
||
# (incl. SDK retries) counts against RPH.
|
||
if agent.provider == "nous":
|
||
try:
|
||
from agent.nous_rate_guard import (
|
||
nous_rate_limit_remaining,
|
||
format_remaining as _fmt_nous_remaining,
|
||
)
|
||
_nous_remaining = nous_rate_limit_remaining()
|
||
if _nous_remaining is not None and _nous_remaining > 0:
|
||
_nous_msg = (
|
||
f"Nous Portal rate limit active — "
|
||
f"resets in {_fmt_nous_remaining(_nous_remaining)}."
|
||
)
|
||
agent._buffer_vprint(
|
||
f"⏳ {_nous_msg} Trying fallback..."
|
||
)
|
||
agent._buffer_status(f"⏳ {_nous_msg}")
|
||
if agent._try_activate_fallback():
|
||
active_system_prompt = _arm_fallback_restart(
|
||
agent, api_messages, active_system_prompt, _retry)
|
||
retry_count = 0
|
||
compression_attempts = 0
|
||
break
|
||
# No fallback available — surface buffered context
|
||
# so user sees the rate-limit message that led here.
|
||
agent._flush_status_buffer()
|
||
agent._persist_session(messages, conversation_history)
|
||
return {
|
||
"final_response": (
|
||
f"⏳ {_nous_msg}\n\n"
|
||
"No fallback provider available. "
|
||
"Try again after the reset, or add a "
|
||
"fallback provider in config.yaml."
|
||
),
|
||
"messages": messages,
|
||
"api_calls": api_call_count,
|
||
"completed": False,
|
||
"failed": True,
|
||
"error": _nous_msg,
|
||
}
|
||
except ImportError:
|
||
pass
|
||
except Exception:
|
||
pass # Never let rate guard break the agent loop
|
||
|
||
try:
|
||
_rq = build_api_request(
|
||
agent,
|
||
api_messages=api_messages,
|
||
_moa_prepared_request=_moa_prepared_request,
|
||
tools_for_api=tools_for_api,
|
||
system_message=system_message,
|
||
messages=messages,
|
||
original_user_message=original_user_message,
|
||
approx_tokens=approx_tokens,
|
||
total_chars=total_chars,
|
||
retry_count=retry_count,
|
||
api_call_count=api_call_count,
|
||
api_request_id=api_request_id,
|
||
api_start_time=api_start_time,
|
||
effective_task_id=effective_task_id,
|
||
turn_id=turn_id,
|
||
)
|
||
api_messages = _rq.api_messages
|
||
_moa_prepared_request = _rq._moa_prepared_request
|
||
tools_for_api = _rq.tools_for_api
|
||
api_kwargs = _rq.api_kwargs
|
||
_original_api_kwargs = _rq._original_api_kwargs
|
||
_llm_middleware_trace = _rq._llm_middleware_trace
|
||
|
||
_ac = perform_api_call(
|
||
agent,
|
||
api_kwargs=api_kwargs,
|
||
_original_api_kwargs=_original_api_kwargs,
|
||
_llm_middleware_trace=_llm_middleware_trace,
|
||
_moa_prepared_request=_moa_prepared_request,
|
||
_retry=_retry,
|
||
thinking_spinner=thinking_spinner,
|
||
retry_count=retry_count,
|
||
api_call_count=api_call_count,
|
||
api_request_id=api_request_id,
|
||
effective_task_id=effective_task_id,
|
||
turn_id=turn_id,
|
||
interrupted=interrupted,
|
||
)
|
||
response = _ac.response
|
||
thinking_spinner = _ac.thinking_spinner
|
||
interrupted = _ac.interrupted
|
||
if _ac.action == "break":
|
||
break
|
||
|
||
_rc = check_api_response(
|
||
agent,
|
||
response=response,
|
||
_retry=_retry,
|
||
thinking_spinner=thinking_spinner,
|
||
messages=messages,
|
||
api_messages=api_messages,
|
||
api_kwargs=api_kwargs,
|
||
active_system_prompt=active_system_prompt,
|
||
conversation_history=conversation_history,
|
||
finish_reason=finish_reason,
|
||
retry_count=retry_count,
|
||
max_retries=max_retries,
|
||
compression_attempts=compression_attempts,
|
||
max_compression_attempts=max_compression_attempts,
|
||
length_continue_retries=length_continue_retries,
|
||
truncated_response_parts=truncated_response_parts,
|
||
truncated_tool_call_retries=truncated_tool_call_retries,
|
||
current_turn_user_idx=current_turn_user_idx,
|
||
api_call_count=api_call_count,
|
||
api_request_id=api_request_id,
|
||
api_start_time=api_start_time,
|
||
effective_task_id=effective_task_id,
|
||
turn_id=turn_id,
|
||
_preflight_compression_blocked=_preflight_compression_blocked,
|
||
_last_preflight_pressure=_last_preflight_pressure,
|
||
)
|
||
thinking_spinner = _rc.thinking_spinner
|
||
messages = _rc.messages
|
||
active_system_prompt = _rc.active_system_prompt
|
||
finish_reason = _rc.finish_reason
|
||
retry_count = _rc.retry_count
|
||
compression_attempts = _rc.compression_attempts
|
||
length_continue_retries = _rc.length_continue_retries
|
||
truncated_response_parts = _rc.truncated_response_parts
|
||
truncated_tool_call_retries = _rc.truncated_tool_call_retries
|
||
_preflight_compression_blocked = _rc._preflight_compression_blocked
|
||
_last_preflight_pressure = _rc._last_preflight_pressure
|
||
api_duration = _rc.api_duration
|
||
if _rc.action == "return":
|
||
return _rc.result
|
||
if _rc.action == "break":
|
||
break
|
||
if _rc.action == "continue":
|
||
continue
|
||
|
||
except InterruptedError:
|
||
if thinking_spinner:
|
||
thinking_spinner.stop("")
|
||
thinking_spinner = None
|
||
if agent.thinking_callback:
|
||
agent.thinking_callback("")
|
||
if agent._has_pending_redirect():
|
||
# redirect() cancelled only this request: keep the correction
|
||
# queued, clear the cancellation bit, let the outer loop rebuild.
|
||
# Never materialize incomplete signed/encrypted reasoning items.
|
||
if agent.clear_interrupt(preserve_redirect=True):
|
||
_retry.restart_with_redirected_messages = True
|
||
break
|
||
api_elapsed = time.time() - api_start_time
|
||
agent._vprint(f"{agent.log_prefix}⚡ Interrupted during API call.", force=True)
|
||
interrupted = True
|
||
# Keep assistant text already streamed before the stop, else the next
|
||
# turn has no record of the half-finished reply.
|
||
_partial = agent._strip_think_blocks(
|
||
getattr(agent, "_current_streamed_assistant_text", "") or ""
|
||
).strip()
|
||
if _partial:
|
||
append_message(messages, {"role": "assistant", "content": _partial})
|
||
final_response = _partial
|
||
else:
|
||
final_response = f"{INTERRUPT_WAITING_FOR_MODEL_PREFIX}{api_elapsed:.1f}s elapsed)."
|
||
agent._persist_session(messages, conversation_history)
|
||
break
|
||
|
||
except Exception as api_error:
|
||
_ae = handle_api_error(
|
||
agent,
|
||
api_error=api_error,
|
||
_retry=_retry,
|
||
thinking_spinner=thinking_spinner,
|
||
messages=messages,
|
||
api_messages=api_messages,
|
||
api_kwargs=api_kwargs,
|
||
system_message=system_message,
|
||
active_system_prompt=active_system_prompt,
|
||
conversation_history=conversation_history,
|
||
approx_tokens=approx_tokens,
|
||
retry_count=retry_count,
|
||
max_retries=max_retries,
|
||
compression_attempts=compression_attempts,
|
||
max_compression_attempts=max_compression_attempts,
|
||
api_call_count=api_call_count,
|
||
api_request_id=api_request_id,
|
||
api_start_time=api_start_time,
|
||
effective_task_id=effective_task_id,
|
||
turn_id=turn_id,
|
||
)
|
||
thinking_spinner = _ae.thinking_spinner
|
||
messages = _ae.messages
|
||
active_system_prompt = _ae.active_system_prompt
|
||
conversation_history = _ae.conversation_history
|
||
approx_tokens = _ae.approx_tokens
|
||
retry_count = _ae.retry_count
|
||
max_retries = _ae.max_retries
|
||
compression_attempts = _ae.compression_attempts
|
||
if _ae._provider_overflow_recovery_pending:
|
||
_provider_overflow_recovery_pending = True
|
||
if _ae.action == "return":
|
||
return _ae.result
|
||
if _ae.action == "break":
|
||
break
|
||
if _ae.action == "continue":
|
||
continue
|
||
|
||
if _retry.restart_with_redirected_messages:
|
||
# Cancelled request produced no valid assistant item: reuse the same logical
|
||
# iteration after the outer loop appends partial context + correction.
|
||
api_call_count -= 1
|
||
agent.iteration_budget.refund()
|
||
_retry.restart_with_redirected_messages = False
|
||
continue
|
||
|
||
# If the API call was interrupted, skip response processing
|
||
if interrupted:
|
||
_turn_exit_reason = "interrupted_during_api_call"
|
||
break
|
||
|
||
if _retry.restart_with_compressed_messages:
|
||
api_call_count -= 1
|
||
agent.iteration_budget.refund()
|
||
# Compression restarts count toward the retry limit so a compression that
|
||
# shrinks messages but not enough can't loop forever.
|
||
retry_count += 1
|
||
_retry.restart_with_compressed_messages = False
|
||
if _should_skip_model_call_for_reference_handoff(
|
||
messages, user_message
|
||
):
|
||
logger.info(
|
||
"Skipping compressed-restart model call: reference-only "
|
||
"handoff would be the sole active user turn (#80622)"
|
||
)
|
||
if not final_response:
|
||
final_response = _HANDOFF_SKIP_FINAL_RESPONSE
|
||
_turn_exit_reason = "compaction_handoff_not_actionable"
|
||
break
|
||
# In-loop compression rebuilt `messages`; re-anchor the current-turn index
|
||
# like the prologue, AFTER the handoff guard (it may re-append this turn's
|
||
# ask). A stale anchor injects prefetch into a historical row.
|
||
current_turn_user_idx = reanchor_current_turn_user_idx(
|
||
messages, user_message
|
||
)
|
||
agent._persist_user_message_idx = current_turn_user_idx
|
||
continue
|
||
|
||
if _retry.restart_with_rebuilt_messages:
|
||
# A stall/failure escalated to the fallback chain: re-issue against the
|
||
# active fallback provider, refunding budget/count for the stalled attempt.
|
||
api_call_count -= 1
|
||
agent.iteration_budget.refund()
|
||
_retry.restart_with_rebuilt_messages = False
|
||
# Failover shrank the compressor window: clear the preflight block so
|
||
# preflight re-runs before the first fallback call. Hoisted to the single
|
||
# consumer. (#84733)
|
||
_preflight_compression_blocked = False
|
||
continue
|
||
|
||
if _retry.restart_with_length_continuation:
|
||
# Boost output budget per retry: 2×, 4×, 8×, 16× base, capped at 32 768, via
|
||
# _ephemeral_max_output_tokens. Keep a larger original provider/model
|
||
# default as the floor so retries never downshift.
|
||
_boost_base = agent.max_tokens if agent.max_tokens else 4096
|
||
_boost = _boost_base * (2 ** length_continue_retries)
|
||
_requested_cap = agent._requested_output_cap_from_api_kwargs(api_kwargs)
|
||
if _requested_cap is not None:
|
||
_boost = max(_boost, _requested_cap)
|
||
_boost_cap = max(32768, _requested_cap or 0)
|
||
agent._ephemeral_max_output_tokens = min(_boost, _boost_cap)
|
||
continue
|
||
|
||
# All retries may exhaust with `response` still None; break out cleanly.
|
||
if response is None:
|
||
_turn_exit_reason = "all_retries_exhausted_no_response"
|
||
print(f"{agent.log_prefix}❌ All API retries exhausted with no successful response.")
|
||
agent._persist_session(messages, conversation_history)
|
||
break
|
||
|
||
try:
|
||
_ri = normalize_model_response(
|
||
agent,
|
||
response=response,
|
||
messages=messages,
|
||
api_messages=api_messages,
|
||
conversation_history=conversation_history,
|
||
api_call_count=api_call_count,
|
||
api_duration=api_duration,
|
||
api_start_time=api_start_time,
|
||
api_request_id=api_request_id,
|
||
effective_task_id=effective_task_id,
|
||
turn_id=turn_id,
|
||
)
|
||
assistant_message = _ri.assistant_message
|
||
finish_reason = _ri.finish_reason
|
||
if _ri.action == "return":
|
||
return _ri.result
|
||
if _ri.action == "continue":
|
||
continue
|
||
|
||
# Check for tool calls
|
||
if assistant_message.tool_calls:
|
||
_tr = run_tool_round(
|
||
agent,
|
||
assistant_message=assistant_message,
|
||
finish_reason=finish_reason,
|
||
messages=messages,
|
||
conversation_history=conversation_history,
|
||
api_call_count=api_call_count,
|
||
effective_task_id=effective_task_id,
|
||
user_message=user_message,
|
||
system_message=system_message,
|
||
active_system_prompt=active_system_prompt,
|
||
compression_attempts=compression_attempts,
|
||
max_compression_attempts=max_compression_attempts,
|
||
final_response=final_response,
|
||
failed=failed,
|
||
_turn_exit_reason=_turn_exit_reason,
|
||
truncated_tool_call_retries=truncated_tool_call_retries,
|
||
)
|
||
messages = _tr.messages
|
||
conversation_history = _tr.conversation_history
|
||
active_system_prompt = _tr.active_system_prompt
|
||
compression_attempts = _tr.compression_attempts
|
||
final_response = _tr.final_response
|
||
failed = _tr.failed
|
||
_turn_exit_reason = _tr._turn_exit_reason
|
||
truncated_tool_call_retries = _tr.truncated_tool_call_retries
|
||
if _tr.action == "return":
|
||
return _tr.result
|
||
if _tr.action == "break":
|
||
break
|
||
if _tr.action == "continue":
|
||
continue
|
||
|
||
else:
|
||
_fr = finish_text_response(
|
||
agent,
|
||
assistant_message=assistant_message,
|
||
response=response,
|
||
finish_reason=finish_reason,
|
||
messages=messages,
|
||
api_messages=api_messages,
|
||
conversation_history=conversation_history,
|
||
api_call_count=api_call_count,
|
||
user_message=user_message,
|
||
active_system_prompt=active_system_prompt,
|
||
final_response=final_response,
|
||
_turn_exit_reason=_turn_exit_reason,
|
||
_preflight_compression_blocked=_preflight_compression_blocked,
|
||
codex_ack_continuations=codex_ack_continuations,
|
||
truncated_response_parts=truncated_response_parts,
|
||
length_continue_retries=length_continue_retries,
|
||
_pending_verification_response=_pending_verification_response,
|
||
_pending_verification_response_previewed=_pending_verification_response_previewed,
|
||
)
|
||
active_system_prompt = _fr.active_system_prompt
|
||
final_response = _fr.final_response
|
||
_turn_exit_reason = _fr._turn_exit_reason
|
||
_preflight_compression_blocked = _fr._preflight_compression_blocked
|
||
codex_ack_continuations = _fr.codex_ack_continuations
|
||
truncated_response_parts = _fr.truncated_response_parts
|
||
length_continue_retries = _fr.length_continue_retries
|
||
_pending_verification_response = _fr._pending_verification_response
|
||
_pending_verification_response_previewed = _fr._pending_verification_response_previewed
|
||
if _fr.action == "return":
|
||
return _fr.result
|
||
if _fr.action == "break":
|
||
break
|
||
if _fr.action == "continue":
|
||
continue
|
||
|
||
except Exception as e:
|
||
_oe = handle_outer_loop_error(
|
||
agent,
|
||
e=e,
|
||
_outer_error_count=_outer_error_count,
|
||
api_call_count=api_call_count,
|
||
messages=messages,
|
||
conversation_history=conversation_history,
|
||
_turn_exit_reason=_turn_exit_reason,
|
||
failed=failed,
|
||
final_response=final_response,
|
||
)
|
||
_outer_error_count = _oe._outer_error_count
|
||
_turn_exit_reason = _oe._turn_exit_reason
|
||
failed = _oe.failed
|
||
final_response = _oe.final_response
|
||
if _oe.action == "break":
|
||
break
|
||
|
||
# Post-loop finalization lives in agent/turn_finalizer.finalize_turn.
|
||
result = finalize_turn(
|
||
agent,
|
||
final_response=final_response,
|
||
api_call_count=api_call_count,
|
||
interrupted=interrupted,
|
||
failed=failed,
|
||
messages=messages,
|
||
conversation_history=conversation_history,
|
||
effective_task_id=effective_task_id,
|
||
turn_id=turn_id,
|
||
user_message=user_message,
|
||
original_user_message=original_user_message,
|
||
_should_review_memory=_should_review_memory,
|
||
_turn_exit_reason=_turn_exit_reason,
|
||
_pending_verification_response=_pending_verification_response,
|
||
_pending_verification_response_previewed=_pending_verification_response_previewed,
|
||
)
|
||
if _compression_timeout_exhausted:
|
||
# Reuse the gateway's context-recovery contract: transcript stays intact while
|
||
# future input can move to a clean session (#98722).
|
||
result["error"] = _COMPRESSION_TIMEOUT_FINAL_RESPONSE
|
||
result["partial"] = True
|
||
result["compression_exhausted"] = True
|
||
return result
|
||
|
||
|
||
|
||
__all__ = ["run_conversation"]
|