Files
hermes-agent/agent/reasoning_effort.py
teknium1 38c289c014 fix(models): drop gpt-6-terra, a tier OpenAI never published
#119410 registered gpt-6-terra alongside sol and luna from the request text, and the Codex
forward-compat synthesis put it (and -900k) in the live /model picker on every surface.
Nothing serves it: not the Codex account catalog (astra, sol, luna), not OpenRouter (same
three, plus -pro), and OpenAI's model page 404s. Forward-compat is for published tiers the
account catalog has not listed yet, not for guessed names. Removed from the Codex fallback
list and template chain, the context/900k tables, the effort ladder prefixes, the aux-client
family list, and the Nous/OpenRouter static catalogs; catalog JSON regenerated. A contract
test pins the synthesized GPT-6 set to the published tiers.
2026-09-23 00:44:33 -07:00

236 lines
13 KiB
Python

"""Canonical reasoning-effort vocabulary and wire clamping.
Hermes' internal effort ladder (``VALID_REASONING_EFFORTS`` plus ``none``) is wider than any
single provider wire accepts; hand-rolled per-transport maps leaked new levels (``ultra``) to
wires that 400 and inverted the ladder (unknown → weak default). Single source of truth:
:data:`EFFORT_LADDER` (low→high), :func:`clamp_effort` (verbatim if supported, else the
nearest WEAKER level; only when nothing weaker exists the weakest supported), and named
wire-vocabulary constants so call sites declare data. Rules: wire shape stays local, only the
vocabulary math lives here; unset stays unset (never invent an effort); when a provider
rejects a level fix its declared set, never a predicate.
"""
from __future__ import annotations
import re
from typing import Optional, Sequence
#: Matches ``k3`` as a delimited token (``k3``, ``k3-256k``, ``kimi-k3-cot``), never K2-era names (``kimi-k2.6``).
# From #76427 by @ruizanthony.
_KIMI_K3_SLUG_RE = re.compile(r"(?:^|[^a-z0-9])k3(?:[^a-z0-9]|$)")
# Canonical low→high ordering for nearest-level clamping. Includes "none" so an explicit
# disable can be clamped when a provider publishes it as a level. ``ultra`` is Hermes-internal
# (the Codex product tier): no wire accepts it, every declared set stops at ``max``.
EFFORT_LADDER: tuple[str, ...] = ("none", "minimal", "low", "medium", "high", "xhigh", "max", "ultra")
#: Widest OpenAI-compatible wire vocabulary (OpenRouter, Nous Portal).
OPENAI_COMPAT_WIRE_EFFORTS: tuple[str, ...] = ("none", "minimal", "low", "medium", "high", "xhigh", "max")
#: OpenAI/Codex Responses per model generation (live-verified): ``minimal`` is rejected by
#: both (clamps to low); ``max`` is gpt-5.6 / gpt-6-tier only (legacy = 5.5 and older).
CODEX_GPT56_EFFORTS: tuple[str, ...] = ("none", "low", "medium", "high", "xhigh", "max")
CODEX_LEGACY_EFFORTS: tuple[str, ...] = ("none", "low", "medium", "high", "xhigh")
# GPT-6 Astra is account-gated and its Responses API accepts no disable/minimal
# wire level; callers normalize those requests to ``low`` at the transport boundary.
CODEX_ASTRA_EFFORTS: tuple[str, ...] = ("low", "medium", "high", "xhigh", "max")
ASTRA_MODEL_IDS: frozenset[str] = frozenset({"gpt-6-astra", "gpt-6-astra-900k"})
#: GPT-6 Sol/Terra/Luna (the 5.6 successors; ``-pro``/``-900k``/dated snapshots share the prefix).
GPT6_TIER_PREFIXES: tuple[str, ...] = ("gpt-6-sol", "gpt-6-luna")
DAYBREAK_MODEL_IDS: frozenset[str] = frozenset(
{"gpt-daybreak-blue-latest", "gpt-daybreak-blue-latest-900k"}
)
#: xAI Responses — Grok 4.6+ accepts xhigh; older Grok tops out at high.
XAI_GROK46_EFFORTS: tuple[str, ...] = ("low", "medium", "high", "xhigh")
XAI_LEGACY_EFFORTS: tuple[str, ...] = ("low", "medium", "high")
#: Actual Computer relays (SGLang/vLLM).
ACTUAL_RELAY_EFFORTS: tuple[str, ...] = ("none", "low", "medium", "high", "max")
#: Moonshot/Kimi K3 (server default high) vs K2-era models. K3 quirks: ``high`` is K3's
#: positional middle AND server default, so ``medium`` rounds to it rather than down to
#: ``low``; ``xhigh`` rounds up to ``max`` (K3's top tier).
KIMI_K3_EFFORTS: tuple[str, ...] = ("low", "high", "max")
KIMI_K2_EFFORTS: tuple[str, ...] = ("low", "medium", "high")
KIMI_K3_OVERRIDES: dict[str, str] = {"medium": "high", "xhigh": "max"}
#: OpenCode "Ox Alpha" (x-preview-f-free): thinking cannot be disabled and the wire accepts
#: exactly low/high/max (medium/none/xhigh 400); xhigh rounds up.
OX_ALPHA_EFFORTS: tuple[str, ...] = ("low", "high", "max")
OX_ALPHA_OVERRIDES: dict[str, str] = {"xhigh": "max"}
#: Tencent TokenHub / Nebius Token Factory / Upstage Solar: plain three-level knobs.
TOKENHUB_EFFORTS: tuple[str, ...] = ("low", "medium", "high")
NEBIUS_EFFORTS: tuple[str, ...] = ("low", "medium", "high")
SOLAR_EFFORTS: tuple[str, ...] = ("low", "medium", "high")
#: GLM-5.2 native knob: exactly ``high`` (its minimum thinking level) and ``max``; GLM-5.3
#: widens it to a graded scale (live-verified, monotonic). ``xhigh`` requests the top tier.
GLM52_EFFORTS: tuple[str, ...] = ("high", "max")
GLM52_OVERRIDES: dict[str, str] = {"xhigh": "max"}
# : GLM-5.3 widens the knob to a graded low/medium/high/max scale — verified : live on
# api.z.ai/api/coding/paas/v4 (issue #91789, 2026-08-21): every : level accepted with monotonic
# reasoning-token scaling (low=4, medium=11, : high=98, max=125 on the probe prompt).
GLM53_EFFORTS: tuple[str, ...] = ("low", "medium", "high", "max")
GLM53_OVERRIDES: dict[str, str] = {"xhigh": "max"}
#: DeepSeek V4 OpenAI-compat endpoint; ``xhigh`` requests the top tier.
DEEPSEEK_V4_EFFORTS: tuple[str, ...] = ("low", "medium", "high", "max")
DEEPSEEK_V4_OVERRIDES: dict[str, str] = {"xhigh": "max"}
#: Ollama Cloud /v1/chat/completions: rejects ``minimal`` with HTTP 400.
OLLAMA_CLOUD_EFFORTS: tuple[str, ...] = ("none", "low", "medium", "high", "max")
OLLAMA_CLOUD_OVERRIDES: dict[str, str] = {"xhigh": "max"}
#: Meta Model API (Muse): rejects ``none``.
META_AI_EFFORTS: tuple[str, ...] = ("minimal", "low", "medium", "high", "xhigh")
def is_astra_model(model: Optional[str]) -> bool:
"""``gpt-6-astra`` or its Hermes-side ``-900k`` picker alias, with or without a ``vendor/`` prefix.
The single home for the slug set: picker gating, effort vocabulary and the request sanitizer all
key off it, so a new Astra alias is one edit."""
return (model or "").strip().lower().rsplit("/", 1)[-1] in ASTRA_MODEL_IDS
def codex_supported_efforts(model: Optional[str]) -> tuple[str, ...]:
"""Supported effort set for an OpenAI/Codex Responses model."""
if is_astra_model(model):
return CODEX_ASTRA_EFFORTS
bare = (model or "").strip().lower().rsplit("/", 1)[-1]
return (
CODEX_GPT56_EFFORTS
if "gpt-5.6" in bare or bare.startswith(GPT6_TIER_PREFIXES) or bare in DAYBREAK_MODEL_IDS
else CODEX_LEGACY_EFFORTS
)
def kimi_supported_efforts(model: Optional[str]) -> tuple[str, ...]:
"""Supported effort set for a Moonshot/Kimi slug (bare ``k3``, ``k3-256k``, ``kimi-k3*`` → K3).
K3 is served as the bare slug ``k3``, plan variants like ``k3-256k``, and the ``kimi-k3*`` aliases; its
documented set is low/high/max. Everything earlier speaks low/medium/high. Boundary-matched so K2-era
names (``kimi-k2.6``) never match (detection regex from #76427 by @ruizanthony).
"""
m = (model or "").strip().lower().split("/")[-1]
return KIMI_K3_EFFORTS if _KIMI_K3_SLUG_RE.search(m) else KIMI_K2_EFFORTS
def clamp_effort(
effort: Optional[str], supported: Optional[Sequence[str]], overrides: Optional[dict[str, str]] = None,
) -> Optional[str]:
"""Clamp a requested reasoning effort onto a wire's supported levels.
``overrides`` (a declared vendor mapping, e.g. Kimi K3 ``medium → high``) is consulted
first. Otherwise the request passes through unchanged when it is supported, when the
supported set is unknown/empty, or when it isn't a recognized ladder level (custom
providers may use bespoke names). Else the **nearest weaker** supported level is returned
so a clamp never escalates cost; when nothing weaker exists, the weakest supported level
(the provider's floor is the closest honest match). Monotonic: a stronger request never
resolves weaker than a weaker request would.
"""
requested = str(effort or "").strip().lower()
if not requested or not supported:
return effort
supported_norm = [lvl for lvl in (str(s).strip().lower() for s in supported) if lvl in EFFORT_LADDER]
if not supported_norm or requested in supported_norm:
return effort
if overrides and overrides.get(requested) in supported_norm:
return overrides[requested]
if requested not in EFFORT_LADDER:
return effort
# "none" disables reasoning — never a degradation target for an enabled ask
# (clamping "minimal" to "none" would silently switch thinking off).
candidates = [level for level in supported_norm if level != "none"]
if not candidates:
return effort
requested_idx = EFFORT_LADDER.index(requested)
below = [level for level in candidates if EFFORT_LADDER.index(level) < requested_idx]
return max(below, key=EFFORT_LADDER.index) if below else min(candidates, key=EFFORT_LADDER.index)
def route_supported_efforts(provider: Optional[str], model: Optional[str]) -> tuple[str, ...]:
"""Levels the (provider, model) route's ENTRY clamp accepts: the Codex/OpenAI Responses set per
model generation, else the widest OpenAI-compatible vocabulary (narrower providers clamp again
downstream, never upward)."""
if (provider or "").strip().lower() == "openai-codex":
return codex_supported_efforts(model)
return OPENAI_COMPAT_WIRE_EFFORTS
def effort_display_label(effort: Optional[str], provider: Optional[str] = None, model: Optional[str] = None) -> str:
"""Picker / ``/reasoning`` status label for a ladder level: the level itself when the route sends
it verbatim, else ``"<level> (sends <clamped> on this route)"`` so a Hermes-internal step such as
``ultra`` (#61634) is never presented as a distinct wire level the route does not have."""
requested = str(effort or "").strip().lower()
clamped = clamp_effort(requested, route_supported_efforts(provider, model))
return requested if not requested or clamped == requested else f"{requested} (sends {clamped} on this route)"
def requested_effort(reasoning_config: Optional[dict]) -> Optional[str]:
"""The user's explicit effort, or None (absent/malformed config, no effort, or reasoning
disabled) — callers then omit the wire field."""
if not isinstance(reasoning_config, dict) or reasoning_config.get("enabled") is False:
return None
return str(reasoning_config.get("effort") or "").strip().lower() or None
def clamp_reasoning_config(reasoning_config: Optional[dict], supported: Sequence[str] = OPENAI_COMPAT_WIRE_EFFORTS) -> Optional[dict]:
"""Return ``reasoning_config`` with its ``effort`` clamped onto ``supported`` (non-dicts and
configs without an effort pass through untouched).
The entry clamp for an OpenAI-compatible chat-completions request builder: Hermes-internal
``ultra`` never reaches a wire (#89503 main transport, #112010 aux/MoA), while provider
profiles with narrower vocabularies clamp again downstream. Unset stays unset.
"""
if not isinstance(reasoning_config, dict):
return reasoning_config
effort = str(reasoning_config.get("effort") or "").strip().lower()
clamped = clamp_effort(effort, supported) if effort else effort
return {**reasoning_config, "effort": clamped} if clamped != effort else reasoning_config
def thinking_toggle_extras(
reasoning_config: Optional[dict],
efforts: Sequence[str],
overrides: Optional[dict[str, str]] = None,
*,
always_emit_toggle: bool = False,
) -> tuple[dict, dict]:
"""Translate a reasoning config onto the Moonshot/DeepSeek chat_completions wire:
``extra_body.thinking`` toggle and top-level ``reasoning_effort``.
Moonshot 400s when both are sent, so by default the effort (when it lands in
``efforts``) replaces the toggle. DeepSeek instead requires the toggle on every
request (an omitted toggle defaults thinking on and then demands
``reasoning_content`` echoes), hence ``always_emit_toggle``. A requested effort of
``none`` is not a level on these wires; it falls back to the plain toggle.
"""
if isinstance(reasoning_config, dict) and reasoning_config.get("enabled") is False:
return {"thinking": {"type": "disabled"}}, {}
effort = requested_effort(reasoning_config)
clamped = clamp_effort(None if effort == "none" else effort, efforts, overrides)
if clamped in efforts:
return ({"thinking": {"type": "enabled"}} if always_emit_toggle else {}), {"reasoning_effort": clamped}
return {"thinking": {"type": "enabled"}}, {}
def ox_alpha_reasoning_extras(reasoning_config: Optional[dict], model: Optional[str]) -> tuple[dict, dict]:
"""Ox Alpha (``x-preview-f-free``) ``reasoning_effort`` translation for the
opencode-zen profile (low/high/max only; anything else 400s)."""
if (model or "").strip().rsplit("/", 1)[-1].lower() != "x-preview-f-free":
return {}, {}
effort = requested_effort(reasoning_config)
clamped = clamp_effort(None if effort == "none" else effort, OX_ALPHA_EFFORTS, OX_ALPHA_OVERRIDES)
return ({}, {"reasoning_effort": clamped}) if clamped in OX_ALPHA_EFFORTS else ({}, {})
# ---- BEGIN PLUGIN-COMPAT (revert-scheduled; see COMPAT_MANIFEST.md) ----
# Names external plugins imported from this module before the Sep 2026 decomposition.
# Internal code MUST NOT use these (scripts/check_compat_pointers.py fails CI if it does).
# The whole block is removed by reverting the commit that added it.
CODEX_RESPONSES_EFFORTS: tuple[str, ...] = CODEX_GPT56_EFFORTS
# ---- END PLUGIN-COMPAT ----