Files
hermes-agent/agent/fast_mode.py
kshitijk4poor bdde674296 feat(fast): /fast ultrafast for GPT-6 Astra, priced at the served tier
OpenAI's Ultrafast service tier (service_tier="ultrafast") is broadly
available for GPT-6 Astra in the API and Codex (Pro 500 / Enterprise),
billed at 6x Standard. GPT-6.1 Sol Ultrafast is announced as coming soon.

- One tier table: agent.fast_mode.parse_service_tier / STATIC_TIERS now
  back the CLI, gateway and TUI config loaders (three hand-copied parsers).
- resolve_fast_mode_overrides(tier="ultrafast") sends the tier only for
  Ultrafast models on api.openai.com / chatgpt.com; anything else gets
  nothing rather than a silent swap to another paid tier.
- /fast ultrafast on CLI, gateway (typed + picker when supported) and TUI;
  static-tier attach sites pass the tier through.
- Pricing: the response's SERVED service_tier is folded into usage (Codex
  stream assembler keeps it); served ultrafast prices from a published
  6x row (272K whole-request tier included). A request asking for
  Ultrafast but served at default bills at Standard.
- i18n: 4 new keys in all 17 locales; option lists mention ultrafast.
2026-09-29 23:54:34 +05:30

105 lines
5.1 KiB
Python

"""Bounded fast-mode windows (``/fast auto`` and ``/fast cold``).
``agent.service_tier``: ``None`` (normal), ``"priority"`` / ``"ultrafast"`` (static tiers,
pinned into ``agent.request_overrides`` at build time), ``"auto"`` (every user turn opens a
window of ``agent.fast_auto_seconds``) or ``"cold"`` (only a session's first turn,
no prior history, opens it). The provider's fast override is layered onto request
kwargs only while the window is open; only per-request params (``service_tier`` /
``speed``) vary, so the request body stays byte-identical. Anthropic keeps a separate
prompt cache per speed, so each Anthropic window boundary re-writes the prefix at the
new speed.
"""
from __future__ import annotations
import time
from typing import Any
BOUNDED_MODES = frozenset({"auto", "cold"})
DEFAULT_WINDOW_SECONDS = 60
# Documented fast-mode rate-limit headers; a limit of 0 means the organization has no fast
# capacity for the model (https://platform.claude.com/docs/en/build-with-claude/fast-mode).
_FAST_LIMIT_HEADERS = ("anthropic-fast-input-tokens-limit", "anthropic-fast-output-tokens-limit")
#: Tiers sent on every request of the session (OpenAI ``service_tier`` values; ``priority`` also
#: selects Anthropic/xAI fast mode). Ultrafast is OpenAI-only and gated per model.
STATIC_TIERS = frozenset({"priority", "ultrafast"})
NORMAL_TIER_WORDS = frozenset({"", "normal", "default", "standard", "off", "none"})
# User/config word -> agent.service_tier. The single table every surface (config loaders, /fast
# on CLI / gateway / TUI) parses through, so a new tier is one edit.
SERVICE_TIER_WORDS: dict[str, str] = {
"fast": "priority", "priority": "priority", "on": "priority",
"ultrafast": "ultrafast", "auto": "auto", "cold": "cold",
}
def parse_service_tier(raw: Any) -> str | None:
"""``agent.service_tier`` for a user/config word; None for normal and for unknown words."""
value = str(raw or "").strip().lower()
return None if value in NORMAL_TIER_WORDS else SERVICE_TIER_WORDS.get(value)
def service_tier_word(tier: Any) -> str:
"""The user-facing word for a stored tier (``priority`` -> ``fast``, None/"" -> ``normal``)."""
return {"priority": "fast", None: "normal", "": "normal"}.get(tier, tier)
def begin_turn(agent: Any, conversation_history: Any) -> None:
"""Open (or refuse) the fast window at a user-turn boundary."""
mode = getattr(agent, "service_tier", None)
agent._fast_until = 0.0
if mode not in BOUNDED_MODES:
return
if mode == "cold" and any(
isinstance(m, dict) and m.get("role") in ("user", "assistant", "tool")
for m in (conversation_history or ())
):
return
try:
window = float(getattr(agent, "fast_auto_seconds", DEFAULT_WINDOW_SECONDS))
except (TypeError, ValueError):
window = DEFAULT_WINDOW_SECONDS
agent._fast_until = time.monotonic() + max(window, 0.0)
def effective_request_overrides(agent: Any) -> dict[str, Any]:
"""``agent.request_overrides`` plus the fast override while the window is open, minus
``speed`` for a model this session learned has no fast capacity."""
overrides = dict(getattr(agent, "request_overrides", None) or {})
if getattr(agent, "service_tier", None) in BOUNDED_MODES and time.monotonic() < getattr(agent, "_fast_until", 0.0):
from hermes_cli.models import resolve_fast_mode_overrides
base_url = getattr(agent, "base_url", None)
if getattr(agent, "api_mode", None) == "anthropic_messages":
base_url = getattr(agent, "_anthropic_base_url", None) or base_url
overrides.update(
resolve_fast_mode_overrides(getattr(agent, "model", None), provider=getattr(agent, "provider", None), base_url=base_url) or {}
)
if "speed" in overrides and getattr(agent, "model", None) in (getattr(agent, "_fast_mode_unavailable_models", None) or ()):
overrides.pop("speed", None)
return overrides
def fast_mode_unprovisioned(api_error: Any, api_kwargs: Any) -> bool:
"""True for a 429 on a ``speed: "fast"`` request whose fast-mode limit header is 0. The
organization has no fast capacity for the model, so waiting or rotating keys cannot help."""
if getattr(api_error, "status_code", None) != 429 or not isinstance(api_kwargs, dict):
return False
if (api_kwargs.get("extra_body") or {}).get("speed") != "fast":
return False
headers = getattr(getattr(api_error, "response", None), "headers", None)
if headers is None:
return False
return any(str(headers.get(name, "")).strip() == "0" for name in _FAST_LIMIT_HEADERS)
def mark_fast_mode_unavailable(agent: Any) -> bool:
"""Stop sending ``speed`` for the current model for the rest of the session. False when the
model was already marked, so the caller retries at most once per model."""
model = getattr(agent, "model", None)
unavailable = getattr(agent, "_fast_mode_unavailable_models", None)
if not isinstance(unavailable, set):
unavailable = agent._fast_mode_unavailable_models = set()
if not model or model in unavailable:
return False
unavailable.add(model)
return True