Files
Teknium a5bd246865 Old pre-decomposition import paths are gone: plugin compat layer removed on schedule (#126164)
* refactor(plugins): remove the Sep 2026 decomposition compat layer on schedule

The PLUGIN-COMPAT layer (2776813df3 + d63e380324 + 0a5164cebe) kept pre-#102117 import paths
alive for external plugins until 2026-09-14. That window closed two weeks ago; since then the loader
has already been skipping plugins that use the old paths. This removes the layer itself:

- 328 appended `PLUGIN-COMPAT` blocks (lazy `__getattr__` pointer tables, re-exported third-party
  names, restored dead definitions) and the three re-export stub modules
  (gateway/startup_watchdog, hermes_cli/observability/relay_runtime, tools/environments/modal_utils)
- COMPAT_MANIFEST.md, compat_manifest.json, scripts/check_compat_pointers.py and its lint step
- the reporting surfaces: CLI banner notice, `hermes plugins compat`, the `hermes doctor` section,
  the post-update notice, the Desktop one-time dialog, the loader's pre-import skip and the
  `plugins.allow_deprecated_imports` escape hatch

An external plugin that still imports an old path now fails to load with its ImportError as the
reason in `hermes plugins list`, the same path as any broken plugin.

hermes_cli/plugin_compat.py stays as three inert stubs (compat_report, removal_in_effect,
summary_lines): an already-running pre-removal `hermes update` lazy-imports them after the checkout
swap (tests/compat/old_updater_surface.json).

In-tree fallout, both already dead: hermes_cli/setup.py::_check_espeak_ng (no callers; its
`shutil` came from a compat block) and gateway/config.py::SessionResetPolicy ("retained solely for
the scheduled plugin-compat window"). Two test_run_agent patches targeted the removed
`run_agent.handle_function_call` pointer; they now patch `model_tools.handle_function_call`, the
seam production reads, like every sibling test in that file.

* chore: retrigger CI (zero-job startup_failure phantom)

* test: drop resolution allowlist rows for the two deleted which() sites

hermes_cli/setup.py::_check_espeak_ng (dead) and tools/skillevaluator_scan.py::scanner_available
(a restored definition inside a PLUGIN-COMPAT block) no longer exist; the stale-row gate requires
their allowlist entries go with them.
2026-09-28 10:21:41 -07:00

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"""Honcho memory plugin — MemoryProvider for Honcho AI-native memory.
Cross-session user modeling with dialectic Q&A, semantic search, peer cards and
persistent conclusions; five tools (profile, search, reasoning, context, conclude).
Config chain: $HERMES_HOME/honcho.json -> ~/.honcho/config.json -> env vars.
"""
from __future__ import annotations
import contextlib
import hashlib
import json
import logging
import os
import re
import threading
import time
from typing import Any, Callable, Dict, List, Optional
from agent.memory_manager import sanitize_context
from agent.memory_provider import MemoryProvider, is_trivial_prompt
from agent.coding_context import INTERACTIVE_CODING_PLATFORMS as _LOCAL_PLATFORMS
from agent.turn_author import a2a_key
from plugins.memory.honcho.client import HonchoClientConfig, resolve_config_path
from plugins.memory.honcho.client import _host_block, _HostLookup
from plugins.memory.honcho.client import join_plugin_threads, spawn_context_thread
from plugins.memory.honcho.dialectic import DialecticMixin
from plugins.memory.honcho.session_peers import assistant_peer_id_for, sanitize_peer_id
from plugins.memory.honcho.session_context import usable_honcho_summary
from plugins.memory.honcho.tool_schemas import ALL_TOOL_SCHEMAS
from tools.registry import tool_error
logger = logging.getLogger(__name__)
# Gateway-internal notifications arrive through the same user-role channel as genuine
# user messages; they are execution metadata and must never become durable memory.
# Deliberately anchored: a human discussing one of these strings mid-message is valid input.
_INTERNAL_GATEWAY_TURN_RE = re.compile(
r"^\s*(?:"
r"\[ASYNC (?:DELEGATION )?(?:BATCH )?COMPLETE[^\]]*\]|"
r"\[CONTEXT COMPACTION[^\]]*\]|"
r"\[CONTEXT SUMMARY\]:?|"
r"\[PRIOR CONTEXT[^\]]*\]|"
r"\[Your active task list was preserved across context compression\]|"
r"\[IMPORTANT: Background process \d+ matched watch pattern[^\n]*|"
r"A background fan-out of \d+ subagent\(s\) you dispatched earlier has finished\.|"
r"A background subagent you dispatched earlier has finished\."
r")",
re.IGNORECASE,
)
def _is_internal_gateway_turn(text: str) -> bool:
"""Return True for machine-generated gateway/delegation notifications."""
return bool(_INTERNAL_GATEWAY_TURN_RE.match(text or ""))
def _cfg_usable(cfg) -> bool:
"""Enabled with a credential or a self-hosted URL to talk to."""
return bool(cfg.enabled and (cfg.api_key or cfg.base_url))
# Static per-mode system prompt text (prompt-cache friendly: never changes between turns).
_TOOL_GUIDE = (
"Use honcho_profile for a quick factual snapshot, "
"honcho_search for raw excerpts, honcho_context for raw peer context, "
"honcho_reasoning for synthesized answers (pass reasoning_level "
"minimal/low/medium/high/max — you pick the depth per call), "
"honcho_conclude to save facts about the user."
)
_PROMPT_HEADERS = {
"context": (
"# Honcho Memory\nActive (context-injection mode). Relevant user context is automatically "
"injected before each turn. No memory tools are available — context is managed automatically."
),
"tools": (
f"# Honcho Memory\nActive (tools-only mode). {_TOOL_GUIDE} "
"No automatic context injection — you must use tools to access memory."
),
"hybrid": (
"# Honcho Memory\nActive (hybrid mode). Relevant context is auto-injected AND memory tools "
f"are available. {_TOOL_GUIDE}"
),
}
_FLAG_WORDS = {"1": True, "true": True, "yes": True, "on": True,
"0": False, "false": False, "no": False, "off": False, "": False}
def _as_flag(raw: Any, default: Optional[bool]) -> Optional[bool]:
"""A config or env value read as a boolean. Unrecognized strings keep ``default``."""
if isinstance(raw, str):
return _FLAG_WORDS.get(raw.strip().lower(), default)
return default if raw is None else bool(raw)
# (injection.sessionStart name, context key, heading). Render order is fixed here, not by config order.
_CONTEXT_SECTIONS = (
("summary", "summary", "Session Summary"),
("peerRepresentation", "representation", "User Representation"),
("peerCard", "card", "User Peer Card"),
("aiRepresentation", "ai_representation", "AI Self-Representation"),
("aiCard", "ai_card", "AI Identity Card"),
)
_PREWARM_QUERY = "Summarize what you know about this user. Focus on preferences, current projects, and working style."
class HonchoMemoryProvider(DialecticMixin, MemoryProvider):
"""Honcho AI-native memory with dialectic Q&A and persistent user modeling."""
def backup_paths(self) -> List[str]:
"""Whole ~/.honcho dir (peer/session config when no profile-local honcho.json exists)."""
try:
from .client import resolve_global_config_path
return [str(resolve_global_config_path().parent)]
except Exception:
return []
def __init__(self, query_rewriter: Optional[Callable[[str], str]] = None):
self._manager = None # HonchoSessionManager
self._config = None # HonchoClientConfig
self._session_key = ""
self._query_rewriter = query_rewriter
self._prefetch_result = ""
self._prefetch_lock = threading.Lock()
self._prefetch_thread: Optional[threading.Thread] = None
self._sync_thread: Optional[threading.Thread] = None
self._memwrite_thread: Optional[threading.Thread] = None
self._recall_mode = "hybrid" # "context", "tools", or "hybrid"
self._recall_sync = False
self._recall_generation = object()
self._recall_sync_thread: Optional[threading.Thread] = None
self._recall_sync_lock = threading.Lock()
# Base context cache — refreshed on context_cadence, not frozen.
self._base_context_cache: Optional[str] = None
self._base_context_lock = threading.Lock()
# Recall cadence state (overwritten from config in initialize()).
self._turn_count = 0
# Author of the turn in flight, refreshed by on_turn_start.
self._turn_author: dict[str, Any] = {}
# (config path, mtime_ns, size) -> identity_signature() values.
self._identity_signature_memo: dict[tuple, dict[str, Any]] = {}
# Injection audit. Off unless the logging key enables it: the record holds the user's representation.
self._injection_log_path: Optional[str] = None
self._injection_log_lock = threading.Lock()
# Pinned injection.sessionStart names; None means unpinned and everything renders.
self._session_start_components: Optional[frozenset] = None
self._query_rewrite_enabled = False
self._injection_frequency = "every-turn" # or "first-turn"
self._context_cadence = 1 # minimum turns between context API calls
self._dialectic_cadence = 1 # backwards-compat fallback; wizard writes 2 on new configs
self._dialectic_depth = 1 # .chat() calls per dialectic cycle (1-3)
self._dialectic_depth_levels: list[str] | None = None # per-pass reasoning levels
self._reasoning_heuristic: bool = True # scale base level by query length
self._reasoning_level_cap: str = "high" # ceiling for auto-selected level
self._last_context_turn = self._last_dialectic_turn = -999
# Liveness: monotonic start of the current prefetch thread, the turn the pending
# result was fired at, and consecutive empty dialectic returns (drives backoff).
self._prefetch_thread_started_at: float = 0.0
self._prefetch_result_fired_at: int = -999
self._dialectic_empty_streak: int = 0
# Tools-only mode may defer session initialization until a tool call.
self._session_initialized = False
self._lazy_init_kwargs: Optional[dict] = None
self._lazy_init_session_id: Optional[str] = None
self._init_thread: Optional[threading.Thread] = None
self._init_lock = threading.Lock()
# Init auth failures live here because the failed manager is discarded.
self._init_auth_failure: Optional[str] = None
self._init_auth_notice_emitted = False
# Set when no user peer could be named (no runtime identity, no peerName). Init is not retried.
self._init_peer_failure: Optional[str] = None
self._init_peer_platform: str = "cli"
self._init_peer_notice_emitted = False
self._cron_skipped = False # cron and flush contexts disable the plugin entirely
@property
def name(self) -> str:
return "honcho"
def is_available(self) -> bool:
"""Check if Honcho is configured. No network calls."""
try:
from plugins.memory.honcho.client import HonchoClientConfig
return _cfg_usable(HonchoClientConfig.from_global_config())
except Exception:
return False
def save_config(self, values, hermes_home):
"""Merge ``values`` into $HERMES_HOME/honcho.json (Honcho SDK native format); a file that does not parse raises.
Holds the token refresh locks so a rotation cannot land between the read and the write."""
from pathlib import Path
from utils import atomic_json_write
from plugins.memory.honcho.oauth import _config_refresh_lock, _read_config_strict, _refresh_lock
config_path = Path(hermes_home) / "honcho.json"
with _refresh_lock, _config_refresh_lock(config_path):
existing = _read_config_strict(config_path)
atomic_json_write(config_path, {**existing, **values}, mode=0o600)
def get_config_schema(self):
return [
{"key": "api_key", "description": "Honcho API key", "secret": True, "env_var": "HONCHO_API_KEY", "url": "https://app.honcho.dev"},
{"key": "baseUrl", "description": "Honcho base URL (for self-hosted)"},
]
def post_setup(self, hermes_home: str, config: dict) -> None:
"""Run the full Honcho setup wizard after provider selection."""
import types
from plugins.memory.honcho.cli import cmd_setup
cmd_setup(types.SimpleNamespace())
# ----- Session lifecycle -----
def initialize(self, session_id: str, **kwargs) -> None:
"""Configure recall settings and start (or defer) Honcho session creation."""
self._recall_generation = object()
try:
agent_context, platform = kwargs.get("agent_context", ""), kwargs.get("platform", "cli")
if agent_context in {"cron", "flush"} or platform == "cron":
logger.debug("Honcho skipped: cron/flush context (agent_context=%s, platform=%s)",
agent_context, platform)
self._cron_skipped = True
return
from plugins.memory.honcho.client import HonchoClientConfig, get_honcho_client # noqa: F401 — ImportError probe
from plugins.memory.honcho.session import HonchoSessionManager # noqa: F401
cfg = HonchoClientConfig.from_global_config()
if not _cfg_usable(cfg):
logger.debug("Honcho not configured — plugin inactive")
return
self._config = cfg
self._recall_mode = cfg.recall_mode
self._recall_sync = getattr(cfg, "recall_sync", False)
look = _HostLookup(_host_block(cfg.raw, cfg.host or ""), cfg.raw)
self._injection_log_path = self._resolve_injection_log_path(look)
self._session_start_components = self._resolve_session_start(look)
logger.debug("Honcho recall_mode: %s", self._recall_mode)
for name in ("injection_frequency", "context_cadence", "dialectic_cadence",
"dialectic_depth_levels", "reasoning_heuristic"):
setattr(self, f"_{name}", getattr(cfg, name))
self._query_rewrite_enabled = cfg.query_rewrite
self._FIRST_TURN_BASE_TIMEOUT = cfg.first_turn_base_wait
self._FIRST_TURN_DIALECTIC_CAP = cfg.first_turn_dialectic_wait
self._dialectic_depth = max(1, min(cfg.dialectic_depth, 3))
if cfg.reasoning_level_cap in self._LEVEL_ORDER:
self._reasoning_level_cap = cfg.reasoning_level_cap
# aiPeer comes from honcho.json only; SOUL.md is persona content, not identity config.
self._lazy_init_kwargs = dict(kwargs)
self._lazy_init_session_id = session_id
self._session_key = self._resolve_session_key(cfg, session_id, **kwargs)
# Session creation can block on Honcho/DB outages, so context/hybrid startup
# fails open in a background thread. Tools-only mode has an explicit contract:
# init_on_session_start=False stays lazy until the first tool call, True is eager.
if self._recall_mode != "tools":
self._start_session_init_background(wait_timeout=0.1)
elif cfg.init_on_session_start:
self._ensure_session()
else:
logger.debug("Honcho tools-only mode — deferring session init until first tool call")
except ImportError:
logger.debug("honcho-ai package not installed — plugin inactive")
except Exception as e:
logger.warning("Honcho init failed: %s", e)
self._manager = None
def _resolve_session_key(self, cfg, session_id: str, **kwargs) -> str:
"""Resolve the Honcho session key without touching the network."""
from agent.runtime_cwd import resolve_agent_cwd
cwd = kwargs.get("cwd") or str(resolve_agent_cwd())
return cfg.resolve_session_name(
cwd=cwd,
session_title=kwargs.get("session_title"), session_id=session_id,
session_title_source=kwargs.get("session_title_source"),
gateway_session_key=kwargs.get("gateway_session_key"),
) or session_id or "hermes-default"
def _can_start_init(self) -> bool:
return not (self._cron_skipped or self._session_initialized) and bool(self._config) and self._lazy_init_kwargs is not None
def _run_session_init(self, label: str) -> bool:
"""Run _do_session_init with the deferred kwargs; on failure discard the manager
and (for auth or unresolved-peer failures) keep the detail for the one-time notice."""
from plugins.memory.honcho.session import HonchoAuthError
from plugins.memory.honcho.session_peers import HonchoPeerUnresolvedError
init_kwargs = self._lazy_init_kwargs
if init_kwargs is None: # another init path already consumed the deferred kwargs
return self._manager is not None
try:
self._do_session_init(self._config, self._lazy_init_session_id or "hermes-default", **dict(init_kwargs))
except Exception as e:
self._manager = None
self._session_initialized = False
detail: object = e
if isinstance(e, HonchoAuthError):
# Keep the auth detail so the one-time notice survives the manager discard.
self._init_auth_failure = str(e)
detail = "authentication rejected"
elif isinstance(e, HonchoPeerUnresolvedError):
# A missing peerName does not heal mid-session, so drop the deferred kwargs and stop retrying.
self._init_peer_failure = str(e)
self._init_peer_platform = str(dict(init_kwargs).get("platform") or "cli")
self._lazy_init_kwargs = self._lazy_init_session_id = None
logger.warning("Honcho %s session init failed: %s", label, detail)
return False
self._lazy_init_kwargs = self._lazy_init_session_id = None
if self._init_auth_failure is not None:
self._init_auth_failure = None
self._init_auth_notice_emitted = False
return True
def _start_session_init_background(self, *, wait_timeout: float = 0.0, blocking: bool = True) -> None:
"""Start session initialization in a daemon thread so a slow/down Honcho can't
block agent construction or first prompt assembly. ``wait_timeout`` lets fast
(mock) initializations finish before returning."""
if not self._can_start_init():
return
if not blocking and not self._init_lock.acquire(blocking=False):
return
try:
with self._init_lock if blocking else contextlib.nullcontext():
if not self._can_start_init() or (self._init_thread and self._init_thread.is_alive()):
return
self._init_thread = spawn_context_thread(lambda: self._run_session_init("background"),
name="honcho-session-init", owner=self)
self._init_thread.start()
if wait_timeout > 0:
self._init_thread.join(timeout=wait_timeout)
finally:
if not blocking:
self._init_lock.release()
def _ensure_session(self) -> bool:
"""Lazily initialize the Honcho session (tools-only mode). True when the manager is ready."""
if self._manager and self._session_initialized:
return True
if not self._can_start_init() or (self._init_thread and self._init_thread.is_alive()):
return False
return self._run_session_init("lazy") and self._manager is not None
def _do_session_init(self, cfg, session_id: str, **kwargs) -> None:
"""Shared session initialization for both eager and lazy paths."""
from plugins.memory.honcho.client import get_honcho_client
from plugins.memory.honcho.session import HonchoSessionManager
self._manager = HonchoSessionManager(
honcho=get_honcho_client(cfg), config=cfg, context_tokens=cfg.context_tokens,
runtime_user_peer_name=kwargs.get("user_id") or None,
runtime_user_peer_name_alt=kwargs.get("user_id_alt") or None,
)
self._session_key = self._resolve_session_key(cfg, session_id, **kwargs)
logger.debug("Honcho session key resolved: %s", self._session_key)
# The provider is not "ready" until this method returns: background startup sets
# _manager before get_or_create/migration/prewarm finish, and lifecycle hooks must
# not treat that partially initialized state as usable.
session = self._manager.get_or_create(self._session_key)
# Per-session strategy creates a fresh Honcho session every run, so a per-run
# MEMORY.md/USER.md/SOUL.md upload would flood the backend with duplicates.
if cfg.session_strategy == "per-session":
logger.debug("Honcho memory file migration skipped: per-session strategy creates a fresh session per run (%s)",
self._session_key)
elif not session.messages:
try:
from hermes_constants import get_hermes_home
self._manager.migrate_memory_files(self._session_key, str(get_hermes_home() / "memories"))
logger.debug("Honcho memory file migration attempted for new session: %s", self._session_key)
except Exception as e:
logger.debug("Honcho memory file migration skipped: %s", e)
# Generic dialectic prewarm is incompatible with latest-message query rewriting,
# which needs the first substantive user message.
if self._recall_mode in {"context", "hybrid"} and not self._recall_sync:
if self._query_rewriter is None or not self._query_rewrite_enabled:
self._spawn_dialectic(_PREWARM_QUERY, thread_name="honcho-prewarm-dialectic", fired_at=0,
log_label="dialectic prewarm", use_query_rewrite=False)
logger.debug("Honcho dialectic prewarm started for session: %s", self._session_key)
else:
logger.debug("Honcho generic dialectic prewarm skipped: awaiting first user message")
self._session_initialized = True
def _session_ready(self) -> bool:
"""Whether the manager/session key can be used safely. Background init sets
``_manager`` before get-or-create completes, so ``_session_initialized`` is the real
guard; tests/legacy construction may inject a ready manager without the flag —
allowed only with no init thread in flight."""
if not self._manager or not self._session_key:
return False
return self._session_initialized or not (self._init_thread and self._init_thread.is_alive())
def _writes_enabled(self) -> bool:
"""``saveMessages`` is the operator's hard write gate for every Honcho mutation path."""
return not self._cron_skipped and getattr(self._config, "save_messages", True)
def _ready_or_kick_init(self) -> bool:
"""True when writes may proceed; otherwise (outside tools mode) start background init."""
if self._session_ready():
return True
if self._recall_mode != "tools":
self._start_session_init_background()
return False
# ----- Prompt / prefetch -----
@staticmethod
def _resolve_session_start(look: _HostLookup) -> Optional[frozenset]:
"""The pinned ``injection.sessionStart`` list as a set, or None when unpinned.
An explicit empty list means inject nothing and stays distinct from unset."""
injection = look.present("injection")
if not isinstance(injection, dict):
return None
listed = injection.get("sessionStart")
if not isinstance(listed, (list, tuple)):
return None
return frozenset(str(x) for x in listed)
def _format_first_turn_context(self, ctx: dict) -> str:
"""Render the prefetch context, keeping only the ``injection.sessionStart`` components when pinned.
The summary passes usable_honcho_summary here, so a contaminated one never reaches _base_context_cache."""
ctx = {**ctx, "summary": usable_honcho_summary(ctx.get("summary")) or ""}
allowed = self._session_start_components
parts, suppressed = [], []
for name, key, header in _CONTEXT_SECTIONS:
value = ctx.get(key, "")
if not value:
continue
if allowed is not None and name not in allowed:
suppressed.append(f"{name} ({len(value)}B)")
continue
parts.append(f"## {header}\n{value}")
if suppressed:
logger.debug("Honcho session-start injection filtered by config: kept %s, suppressed %s",
[n for n, k, _ in _CONTEXT_SECTIONS if ctx.get(k) and (allowed is None or n in allowed)],
suppressed)
return "\n\n".join(parts)
def system_prompt_block(self) -> str:
"""Static mode header + tool instructions (prompt-cache friendly).
Live context (representation, card) is injected via prefetch()."""
if self._cron_skipped or not (self._config or (self._manager and self._session_key)):
return ""
return _PROMPT_HEADERS.get(self._recall_mode, _PROMPT_HEADERS["hybrid"])
@staticmethod
def _resolve_injection_log_path(look: _HostLookup) -> Optional[str]:
"""Where to append the injection audit, or None to keep it off.
The ``logging`` key or HONCHO_LOGGING switches it on. HONCHO_INJECTION_LOG overrides the destination."""
explicit = os.environ.get("HONCHO_INJECTION_LOG")
if explicit:
return explicit
enabled = _as_flag(look.pick_set("logging"), default=None)
if enabled is None:
enabled = _as_flag(os.environ.get("HONCHO_LOGGING"), default=False)
if not enabled:
return None
return os.path.join(os.path.expanduser("~"), ".honcho", "injection.log")
def _log_injection(self, reason: str, payload: str = "") -> str:
"""Append one record of what this turn injected and why, then return ``payload`` unchanged. Never raises.
The reason matters because prefetch has several ways to return nothing and each needs a different fix."""
path = self._injection_log_path
if not path:
return payload
try:
record = json.dumps({
"ts": time.strftime("%Y-%m-%dT%H:%M:%S"), "turn": self._turn_count,
"session_key": self._session_key or "", "recall_mode": self._recall_mode,
"reason": reason, "bytes": len(payload.encode("utf-8")), "payload": payload,
}, ensure_ascii=False)
with self._injection_log_lock:
os.makedirs(os.path.dirname(path), exist_ok=True)
# The record holds the user's representation verbatim, so the file is owner-only.
fd = os.open(path, os.O_WRONLY | os.O_CREAT | os.O_APPEND, 0o600)
with os.fdopen(fd, "a", encoding="utf-8") as fh:
fh.write(record + "\n")
except Exception as e:
logger.debug("Honcho injection log write failed: %s", e)
return payload
def _first_turn_wait(self, base: float) -> float:
"""Turn-1 wait budget: a short request timeout may tighten, but never expand, it."""
request_timeout = getattr(self._config, "timeout", None)
return max(0.0, base if request_timeout is None else min(base, max(0.0, request_timeout)))
def _fetch_base_context_layer(self, query: str, first_turn_base_deadline: float | None) -> str:
"""Layer 1: representation + card. The first fetch gets the remaining turn-1 budget;
later turns consume the refresh queued by the previous turn."""
with self._base_context_lock:
first_base_fetch = self._base_context_cache is None
if first_base_fetch:
self._base_context_cache = ""
self._last_context_turn = self._turn_count
base_context = self._base_context_cache
if not self._manager:
return base_context
def _adopt(ctx: dict) -> str:
"""Cache a fresh context dict's formatted block; keep the old text if it formats empty."""
formatted = self._format_first_turn_context(ctx)
if formatted:
with self._base_context_lock:
self._base_context_cache = formatted
return formatted or base_context
if not first_base_fetch:
fresh_ctx = self._manager.pop_context_result(self._session_key)
return _adopt(fresh_ctx) if fresh_ctx else base_context
ctx_holder: dict[str, dict] = {}
def _fetch_base() -> None:
ctx_holder["ctx"] = ctx = self._manager.get_prefetch_context(self._session_key, query or None) or {}
if ctx:
self._manager.set_context_result(self._session_key, ctx)
bt = self._spawn_write(_fetch_base, "honcho-base-first", "Honcho first-turn base context failed: %s")
base_wait = max(0.0, first_turn_base_deadline - time.monotonic()) if first_turn_base_deadline is not None else 0.0
bt.join(timeout=base_wait)
if ctx := ctx_holder.get("ctx"):
self._manager.pop_context_result(self._session_key)
return _adopt(ctx)
if bt.is_alive():
logger.debug("Honcho first-turn base context still running after %.1fs — will surface on next turn", base_wait)
return base_context
def _first_turn_dialectic_wait(self, query: str) -> None:
"""Turn 1 only: reuse an in-flight prewarm or start one dialectic, then wait briefly.
Unfinished work stays async and surfaces on a later turn."""
with self._prefetch_lock:
prewarm_landed = bool(self._prefetch_result)
if prewarm_landed and self._last_dialectic_turn == -999:
self._last_dialectic_turn = self._turn_count
if self._last_dialectic_turn != -999 or not query:
return
dia_wait = self._first_turn_wait(self._FIRST_TURN_DIALECTIC_CAP)
if not self._thread_is_live():
self._spawn_dialectic(query, thread_name="honcho-prefetch-first", fired_at=self._turn_count,
log_label="first-turn dialectic")
if (live := self._prefetch_thread) is not None:
live.join(timeout=dia_wait)
if self._prefetch_thread and self._prefetch_thread.is_alive():
logger.debug("Honcho first-turn dialectic still running after %.1fs — will surface on next turn", dia_wait)
def prefetch(self, query: str, *, session_id: str = "") -> str:
"""Base context (representation + card, refreshed on context_cadence) plus the
dialectic supplement (refreshed on dialectic_cadence), within the context budget.
Empty in tools-only mode."""
if self._cron_skipped or self._recall_mode == "tools":
return self._log_injection("cron-or-tools-mode")
if self._recall_sync:
from plugins.memory.honcho.recall_sync import prefetch_sync
notice = self._pop_auth_notice() or self._pop_peer_notice()
payload = "\n\n".join(part for part in (notice, prefetch_sync(self, query)) if part)
return self._log_injection("injected" if payload else "recall-sync-empty", payload)
first_turn_base_deadline = (time.monotonic() + self._first_turn_wait(self._FIRST_TURN_BASE_TIMEOUT)
if self._turn_count <= 1 else None)
if not self._session_ready():
# Only turn 1 may wait for session init; later turns fail open.
self._start_session_init_background()
if first_turn_base_deadline is not None and self._init_thread is not None:
self._init_thread.join(timeout=max(0.0, first_turn_base_deadline - time.monotonic()))
if not self._session_ready():
# A failed init still owes the user its one-time notice.
return self._log_injection("session-not-ready", self._pop_auth_notice() or self._pop_peer_notice())
# Trivial turns start no work, but may consume a ready pending result.
if self._is_trivial_prompt(query):
ready = self._consume_pending_dialectic()
return self._log_injection("trivial-prompt", self._truncate_to_budget(ready) if ready else "")
# One-time notice, relayed by the model, that auth is dead and memory is paused.
parts = [self._pop_auth_notice()]
# First-turn mode suppresses only the base layer; dialectic is independent.
if not (self._injection_frequency == "first-turn" and self._turn_count > 1):
parts.append(self._fetch_base_context_layer(query, first_turn_base_deadline))
self._first_turn_dialectic_wait(query)
# Consume only results that are already ready; later turns never wait.
parts.append(self._consume_pending_dialectic())
parts = [p for p in parts if p and p.strip()]
if not parts:
return self._log_injection("fetched-but-empty")
return self._log_injection("injected", self._truncate_to_budget("\n\n".join(parts)))
def _pop_auth_notice(self) -> str:
"""One-time model-facing notice that Honcho auth expired and memory is paused."""
# getattr (not a direct call): test fakes install minimal managers without pop_auth_notice.
pop = getattr(self._manager, "pop_auth_notice", None)
msg = pop() if callable(pop) else None
if not isinstance(msg, str) or not msg:
# Init failures discard the manager; the provider kept the detail.
if self._init_auth_failure is None or self._init_auth_notice_emitted:
return ""
self._init_auth_notice_emitted = True
msg = self._init_auth_failure
return ("[Honcho memory status] Authentication with the Honcho memory backend has expired and automatic "
f"token refresh failed, so memory sync and recall are paused. Reason: {msg}\n"
"Tell the user (once) that Honcho memory is paused and that running 'hermes honcho setup' "
"to re-authenticate will restore it.")
def _peer_failure_text(self) -> str:
"""The stored peer failure plus the fix that fits the session's platform. On a gateway the fix is a
user id from the transport, never peerName: a shared peerName would merge every user onto one peer."""
text = self._init_peer_failure or ""
if self._init_peer_platform in _LOCAL_PLATFORMS:
return f"{text} Set one with 'hermes honcho peer --user <name>'."
return f"{text} This platform supplied no user id for the chat, so memory stays off here."
def _pop_peer_notice(self) -> str:
"""One-time model-facing notice that no user peer could be named and memory is off."""
if self._init_peer_failure is None or self._init_peer_notice_emitted:
return ""
self._init_peer_notice_emitted = True
if self._init_peer_platform in _LOCAL_PLATFORMS:
advice = "Tell the user (once) that Honcho memory is off until honcho.json names a user peer."
else:
advice = ("Tell the user (once) that Honcho memory is off for this chat. Do not suggest peerName: "
"on a shared gateway it would merge every user onto one peer.")
return f"[Honcho memory status] Honcho memory is off for this session. {self._peer_failure_text()}\n{advice}"
def _truncate_to_budget(self, text: str) -> str:
"""Truncate text to the context_tokens budget (≈4 chars/token) at a word boundary."""
if not self._config or not self._config.context_tokens:
return text
budget_chars = self._config.context_tokens * 4
if len(text) <= budget_chars:
return text
truncated = text[:budget_chars]
last_space = truncated.rfind(" ")
return (truncated[:last_space] if last_space > budget_chars * 0.8 else truncated) + " …"
def queue_prefetch(self, query: str, *, session_id: str = "") -> None:
"""Fire background prefetch threads for the upcoming turn.
Context and dialectic refreshes have independent cadence controls."""
if self._cron_skipped or self._recall_mode == "tools" or self._recall_sync:
return
if not self._session_ready() or not query:
self._start_session_init_background()
return
# Trivial prompts don't warrant either a context refresh or a dialectic call.
if self._is_trivial_prompt(query):
return
# First-turn-only base context never needs a later refresh.
context_due = self._context_cadence <= 1 or (self._turn_count - self._last_context_turn) >= self._context_cadence
if self._injection_frequency != "first-turn" and context_due:
self._last_context_turn = self._turn_count
try:
self._manager.prefetch_context(self._session_key, query)
except Exception as e:
logger.debug("Honcho context prefetch failed: %s", e)
# Dialectic layer: a hung call older than timeout × multiplier counts as dead.
if self._thread_is_live():
logger.debug("Honcho dialectic prefetch skipped: prior thread still running")
return
# Cadence gate, widened by the empty-streak backoff so a persistently silent
# backend doesn't retry every turn forever.
effective = self._effective_cadence()
if (self._turn_count - self._last_dialectic_turn) < effective:
logger.debug("Honcho dialectic prefetch skipped: effective cadence %d (base %d, empty streak %d), turns since last: %d",
effective, self._dialectic_cadence, self._dialectic_empty_streak,
self._turn_count - self._last_dialectic_turn)
return
self._spawn_dialectic(query, thread_name="honcho-prefetch", fired_at=self._turn_count, log_label="prefetch")
# Shared with the core prefetch gate so the two classifiers can never drift apart.
_is_trivial_prompt = staticmethod(is_trivial_prompt)
def identity_signature(self) -> Dict[str, Any]:
"""Identity-mapping values from honcho.json that bust a cached gateway agent when they change.
Memoized on the file's mtime and size, so the per-message call is one stat. ``{}`` when the
config cannot be read."""
try:
path = resolve_config_path()
try:
stat = path.stat()
memo_key = (str(path), stat.st_mtime_ns, stat.st_size)
except OSError:
memo_key = (str(path), None, None)
cached = self._identity_signature_memo.get(memo_key)
if cached is not None:
return dict(cached)
cfg = HonchoClientConfig.from_global_config(config_path=path)
aliases = cfg.user_peer_aliases if isinstance(cfg.user_peer_aliases, dict) else {}
values = {
"workspace": cfg.workspace_id,
"user_identity": cfg.peer_name,
"agent_identity": cfg.ai_peer,
"pin_user_identity": bool(cfg.pin_peer_name),
"runtime_identity_prefix": cfg.runtime_peer_prefix or "",
"user_identity_aliases": sorted(aliases.items()),
"session_prefixing": [bool(cfg.session_peer_prefix), bool(cfg.session_ai_peer_prefix)],
"a2a_sessions": bool(cfg.a2a_sessions),
}
self._identity_signature_memo = {memo_key: values}
return dict(values)
except Exception:
return {}
def on_turn_start(self, turn_number: int, message: str, **kwargs) -> None:
"""Track turn count for cadence, and record who wrote this turn: a shared session carries
several participants, and the peer resolved at session init only names whoever opened it."""
self._recall_generation = object()
self._turn_count = turn_number
self._turn_author = {"id": kwargs.get("author_id") or None, "name": kwargs.get("author_name") or None,
"is_bot": bool(kwargs.get("author_is_bot"))}
def on_session_switch(self, new_session_id: str, **kwargs) -> None:
"""Discard in-flight recall even when the configured backend session is pinned."""
self._recall_generation = object()
# ----- Writes -----
@staticmethod
def _chunk_message(content: str, limit: int) -> list[str]:
"""Split content to fit the Honcho message limit, cutting at paragraph, then
sentence, then word boundaries; continuation chunks get a "[continued] " prefix
so Honcho's representation engine can reconstruct the full message."""
if len(content) <= limit:
return [content]
prefix = "[continued] "
chunks: list[str] = []
remaining, first = content, True
while remaining:
effective = limit if first else limit - len(prefix)
if len(remaining) <= effective:
chunks.append(remaining if first else prefix + remaining)
break
segment = remaining[:effective]
# Paragraph, then sentence (keeping ". "), then word boundary; else a hard cut.
for sep in ("\n\n", ". ", " "):
cut = segment.rfind(sep)
if cut >= 0 and sep == ". ":
cut += 2
if cut >= effective * 0.3:
break
else:
cut = effective
chunk = remaining[:cut].rstrip()
remaining = remaining[cut:].lstrip()
chunks.append(chunk if first else prefix + chunk)
first = False
return chunks
def sync_turn(
self, user_content: str, assistant_content: str, *, session_id: str = "",
turn_author: Optional[Dict[str, Any]] = None,
) -> None:
"""Record the conversation turn in Honcho (non-blocking), chunking messages that
exceed the Honcho API limit. Honors saveMessages: false. ``turn_author`` names who wrote
the user side. The ``on_turn_start`` stash is the fallback for callers that never pass it.
A bot author's turn is written into that bot's own a2a session, never the human's."""
if not self._writes_enabled():
return
if _is_internal_gateway_turn(user_content):
logger.debug("Honcho sync skipped machine-generated gateway turn")
return
if not self._ready_or_kick_init():
return
msg_limit = self._config.message_max_chars if self._config else 25000
clean_user_content = sanitize_context(user_content or "").strip()
clean_assistant_content = sanitize_context(assistant_content or "").strip()
# Skip only when the whole turn is empty: an interrupted or tool-only turn can have
# an empty assistant side, and the user's message must still be persisted.
if not clean_user_content and not clean_assistant_content:
return
author = turn_author if isinstance(turn_author, dict) else self._turn_author
session_kwargs: dict[str, str] = {}
if author.get("is_bot"):
# A bot's turn never lands in the human's session: its own a2a session or nothing.
if not getattr(self._config, "a2a_sessions", True):
logger.debug("Honcho sync skipped a bot-authored turn because a2aSessions is off")
return
author_id = str(author.get("id") or "").strip()
if not author_id:
logger.debug("Honcho sync skipped a bot-authored turn that named no author id")
return
bot_peer_id = self._manager.resolve_author_peer_id(
self._session_key, author_id, author.get("name"), is_bot=True)
if not bot_peer_id or bot_peer_id == self._manager.assistant_peer_id():
logger.debug("Honcho sync skipped a bot-authored turn: author %s has no peer of its own", author_id)
return
session_key = self._a2a_session_key({**author, "id": author_id})
# The bot is the a2a session's own user peer, so its messages need no per-message author.
session_kwargs["user_peer_id"] = bot_peer_id
author_peer_id = None
else:
session_key = self._session_key
# Resolved before the thread starts so a following turn cannot retag a queued write.
author_peer_id = self._manager.resolve_author_peer_id(session_key, author.get("id"), author.get("name"))
def _sync():
session = self._manager.get_or_create(session_key, **session_kwargs)
for chunk in self._chunk_message(clean_user_content, msg_limit) if clean_user_content else ():
session.add_message("user", chunk, author_peer_id=author_peer_id)
for chunk in self._chunk_message(clean_assistant_content, msg_limit) if clean_assistant_content else ():
session.add_message("assistant", chunk)
# save() (not _flush_session) so writeFrequency batching is honored.
self._manager.save(session)
if self._sync_thread and self._sync_thread.is_alive():
self._sync_thread.join(timeout=5.0)
self._sync_thread = self._spawn_write(_sync, "honcho-sync", "Honcho sync_turn failed: %s")
def _a2a_session_key(self, author: Dict[str, Any]) -> str:
"""Honcho session for one sender bot's turns into this agent, named from core's ``a2a_key``.
This agent's ``aiPeer`` is in the key because two profiles can share a workspace and a session
key. The digest keeps two ids apart when sanitizing would make them equal."""
prefix, _, ident = (a2a_key(author) or "").partition(":")
digest = hashlib.sha256(ident.encode("utf-8")).hexdigest()[:8]
recipient = assistant_peer_id_for(self._config)
key = f"{self._session_key}:{prefix}:{recipient}:{sanitize_peer_id(ident)}-{digest}"
return HonchoClientConfig._enforce_session_id_limit(key, key)
def _bot_turn_write_refusal(self) -> Optional[str]:
"""Refusal for memory writes while a bot-authored turn runs. Conclusions and cards describe the human."""
if self._turn_author.get("is_bot"):
return tool_error("Honcho memory writes are off during a bot-to-bot turn. Conclusions and profile edits describe the human.")
return None
def _spawn_write(self, fn: Callable[[], None], name: str, fail_msg: str) -> threading.Thread:
"""Run a Honcho write off-thread; failures are debug-logged, never raised into the turn."""
def _run():
try:
fn()
except Exception as e:
logger.debug(fail_msg, e)
thread = spawn_context_thread(_run, name=name, owner=self)
thread.start()
return thread
def on_memory_write(
self, action: str, target: str, content: str, metadata: Optional[Dict[str, Any]] = None,
) -> None:
"""Mirror built-in user-profile writes as Honcho conclusions (``metadata`` accepted
for interface compatibility, not yet threaded into the conclusion payload)."""
if action != "add" or target != "user" or not content:
return
if self._turn_author.get("is_bot"):
logger.debug("Honcho memory mirror skipped during a bot-authored turn")
return
if not self._writes_enabled() or not self._ready_or_kick_init():
return
self._memwrite_thread = self._spawn_write(lambda: self._manager.create_conclusion(self._session_key, content),
"honcho-memwrite", "Honcho memory mirror failed: %s")
def on_session_end(self, messages: List[Dict[str, Any]]) -> None:
"""Flush all pending messages to Honcho on session end."""
if not self._writes_enabled() or not self._manager:
return
if not self._session_initialized and self._init_thread and self._init_thread.is_alive():
return
if self._sync_thread and self._sync_thread.is_alive():
self._sync_thread.join(timeout=10.0)
try:
self._manager.flush_all()
except Exception as e:
logger.debug("Honcho session-end flush failed: %s", e)
# ----- Tools -----
def get_tool_schemas(self) -> List[Dict[str, Any]]:
"""Tool schemas by recall_mode; context-only mode exposes no Honcho tools."""
if self._cron_skipped or self._recall_mode == "context":
return []
return list(ALL_TOOL_SCHEMAS)
def _empty_profile_hint(self, peer: str) -> Dict[str, Any]:
"""Diagnostic hint for an empty honcho_profile card, so the model can explain WHY
instead of surfacing a cryptic "no facts" to the user. Likely causes, in order:
observation disabled for the peer; card not accumulated yet (fresh peer / few
dialectic cycles); self-hosted Honcho < 3.x without peer-card support."""
cfg = self._config
reasons: List[str] = []
kind = "user" if peer == "user" else "ai"
if cfg is not None and not (getattr(cfg, f"{kind}_observe_me", True) or getattr(cfg, f"{kind}_observe_others", True)):
reasons.append(f"observation is disabled for peer '{peer}' (user_observe_me/ai_observe_me in config)")
cadence, turn = self._dialectic_cadence, self._turn_count
if turn < max(2, cadence):
reasons.append(f"this session has only {turn} turn(s); peer cards accumulate as the dialectic "
f"layer reasons over conversation history (cadence every {cadence} turn(s))")
if not reasons:
reasons.append("peer card has no facts yet — Honcho's dialectic layer builds this over time from "
"observed turns; self-hosted Honcho < 3.x does not support peer cards at all")
return {
"result": "No profile facts available yet.",
"hint": ("This is not an error. " + "; ".join(reasons)
+ ". Try honcho_reasoning for a synthesized answer, or honcho_search to query raw conversation excerpts."),
}
def _tool_profile(self, args: dict) -> str:
peer = args.get("peer", "user")
if card_update := args.get("card"):
if refusal := self._bot_turn_write_refusal():
return refusal
result = self._manager.set_peer_card(self._session_key, card_update, peer=peer)
if result is None:
return tool_error("Failed to update peer card.")
return json.dumps({"result": f"Peer card updated ({len(result)} facts).", "card": result})
card = self._manager.get_peer_card(self._session_key, peer=peer)
return json.dumps({"result": card} if card else self._empty_profile_hint(peer))
def _tool_search(self, args: dict) -> str:
if not (query := (args.get("query") or "").strip()):
return tool_error("Missing required parameter: query")
max_tokens = min(int(args.get("max_tokens", 800)), 2000)
result = self._manager.search_context(self._session_key, query, max_tokens=max_tokens, peer=args.get("peer", "user"))
return json.dumps({"result": result or "No relevant context found."})
def _tool_reasoning(self, args: dict) -> str:
from plugins.memory.honcho.session import HonchoAuthError
if not (query := (args.get("query") or "").strip()):
return tool_error("Missing required parameter: query")
try:
# Explicit reasoning bypasses the automatic-injection cap, and surfaces
# timeouts/server errors as errors rather than an indistinguishable "no result".
result = self._manager.dialectic_query(
self._session_key, query, reasoning_level=args.get("reasoning_level"),
peer=args.get("peer", "user"), apply_injection_cap=False, raise_errors=True,
)
except HonchoAuthError:
raise # rendered by handle_tool_call's auth-specific handler
except Exception as e:
logger.warning("honcho_reasoning failed: %s", e)
return tool_error(
f"Honcho reasoning query failed ({e}). This is a backend error, not an empty result — "
"the peer may still have relevant context. Slow dialectic calls at higher reasoning levels "
"can exceed the configured timeout; consider a lower reasoning_level or raising the "
"'timeout' value in honcho.json."
)
# Auto-injection respects the cadence gap after an explicit call.
self._last_dialectic_turn = self._turn_count
return json.dumps({"result": result or "No result from Honcho."})
def _tool_context(self, args: dict) -> str:
ctx = self._manager.get_session_context(self._session_key, peer=args.get("peer", "user"))
if not ctx:
return json.dumps({"result": "No context available yet."})
sections = (("Summary", usable_honcho_summary(ctx.get("summary"))),
("Representation", ctx.get("representation")), ("Card", ctx.get("card")))
parts = [f"## {header}\n{value}" for header, value in sections if value]
if recent := ctx.get("recent_messages"):
parts.append("## Recent messages\n" + "\n".join(f" [{m['role']}] {m['content'][:200]}" for m in recent[-5:]))
return json.dumps({"result": "\n\n".join(parts) or "No context available."})
def _tool_conclude(self, args: dict) -> str:
delete_id = (args.get("delete_id") or "").strip()
conclusion = args.get("conclusion", "").strip()
list_mode = bool(args.get("list"))
peer = args.get("peer", "user")
if sum([bool(delete_id), bool(conclusion), list_mode]) != 1:
return tool_error("Exactly one of conclusion, delete_id, or list must be provided.")
query = (args.get("query") or "").strip()
if query and not list_mode:
return tool_error("query is only valid when list is true.")
if list_mode:
return json.dumps({"conclusions": self._manager.list_conclusions(self._session_key, query=query or None, peer=peer)})
if refusal := self._bot_turn_write_refusal():
return refusal
if delete_id:
if self._manager.delete_conclusion(self._session_key, delete_id, peer=peer):
return json.dumps({"result": f"Conclusion {delete_id} deleted."})
return tool_error(f"Failed to delete conclusion {delete_id}.")
if self._manager.create_conclusion(self._session_key, conclusion, peer=peer):
return json.dumps({"result": f"Conclusion saved for {peer}: {conclusion}"})
return tool_error("Failed to save conclusion.")
_TOOL_HANDLERS = {
"honcho_profile": _tool_profile,
"honcho_search": _tool_search,
"honcho_reasoning": _tool_reasoning,
"honcho_context": _tool_context,
"honcho_conclude": _tool_conclude,
}
def handle_tool_call(self, tool_name: str, args: dict, **kwargs) -> str:
"""Dispatch a Honcho tool call, lazily initializing the session in tools-only mode."""
from plugins.memory.honcho.session import HonchoAuthError
if self._cron_skipped:
return tool_error("Honcho is not active (cron context).")
if not self._session_initialized:
if self._init_thread and self._init_thread.is_alive():
return tool_error("Honcho session is still initializing; try again shortly.")
if not self._ensure_session():
if self._init_auth_failure:
return tool_error(f"Honcho memory authentication failed: {self._init_auth_failure}")
if self._init_peer_failure:
return tool_error(self._peer_failure_text())
return tool_error("Honcho session could not be initialized.")
if not self._manager or not self._session_key:
return tool_error("Honcho is not active for this session.")
if (handler := self._TOOL_HANDLERS.get(tool_name)) is None:
return tool_error(f"Unknown tool: {tool_name}")
try:
return handler(self, args)
except HonchoAuthError as e:
# Never report an auth failure as an empty result; the model would read it as "no memory".
logger.error("Honcho tool %s failed: authentication rejected", tool_name)
return tool_error(f"Honcho memory authentication failed: {e}")
except Exception as e:
logger.error("Honcho tool %s failed: %s", tool_name, e)
return tool_error(f"Honcho {tool_name} failed: {e}")
# Shutdown never joins for less than this. A thread blocked in httpx can hold the HTTP timeout.
_SHUTDOWN_JOIN_FLOOR = 5.0
def _shutdown_join_budget(self) -> float:
"""The floor, or the configured HTTP timeout when longer, so a thread blocked in a Honcho call can finish."""
from plugins.memory.honcho.client_cache import _resolve_timeout_from_sources
return max(self._SHUTDOWN_JOIN_FLOOR, _resolve_timeout_from_sources(self._config))
def shutdown(self) -> None:
"""Join the write threads, flush and stop the manager, then join every other thread this provider or its
manager spawned, all within one budget. A daemon thread still blocked in httpx I/O at exit aborts the process."""
self._recall_generation = object()
budget = self._shutdown_join_budget()
deadline = time.monotonic() + budget
for t in (self._sync_thread, self._memwrite_thread):
if t and t.is_alive():
t.join(timeout=max(0.0, deadline - time.monotonic()))
manager = self._manager
if manager and not (self._init_thread and self._init_thread.is_alive() and not self._session_initialized):
# saveMessages: false skips persistence, but the async-writer thread must still be joined.
with contextlib.suppress(Exception):
remaining = max(0.0, deadline - time.monotonic())
if getattr(self._config, "save_messages", True):
manager.shutdown(timeout=remaining) # flush_all() + join the writer
else:
manager.stop_async_writer(timeout=remaining)
left = join_plugin_threads((self, manager), timeout=max(0.0, deadline - time.monotonic()))
if left:
logger.warning("Honcho shutdown timed out after %.1fs with %d thread(s) still running: %s",
budget, len(left), ", ".join(left))
def register(ctx) -> None:
"""Register Honcho as a memory provider plugin."""
from plugins.memory.query_rewrite import rewrite_memory_query
ctx.register_memory_provider(HonchoMemoryProvider(query_rewriter=rewrite_memory_query))