feat: expand /fast to all OpenAI Priority Processing models (#6960)

Previously /fast only supported gpt-5.4 and forced a provider switch to
openai-codex. Now supports all 13 models from OpenAI's Priority Processing
pricing table (gpt-5.4, gpt-5.4-mini, gpt-5.2, gpt-5.1, gpt-5, gpt-5-mini,
gpt-4.1, gpt-4.1-mini, gpt-4.1-nano, gpt-4o, gpt-4o-mini, o3, o4-mini).

Key changes:
- Replaced _FAST_MODE_BACKEND_CONFIG with _PRIORITY_PROCESSING_MODELS frozenset
- Removed provider-forcing logic — service_tier is now injected into whatever
  API path the user is already on (Codex Responses, Chat Completions, or
  OpenRouter passthrough)
- Added request_overrides support to chat_completions path in run_agent.py
- Updated messaging from 'Codex inference tier' to 'Priority Processing'
- Expanded test coverage for all supported models
This commit is contained in:
Teknium
2026-04-09 22:06:30 -07:00
committed by GitHub
parent d416a69288
commit 8394b5ddd2
6 changed files with 144 additions and 110 deletions

View File

@@ -100,7 +100,7 @@ COMMAND_REGISTRY: list[CommandDef] = [
CommandDef("reasoning", "Manage reasoning effort and display", "Configuration",
args_hint="[level|show|hide]",
subcommands=("none", "minimal", "low", "medium", "high", "xhigh", "show", "hide", "on", "off")),
CommandDef("fast", "Choose Codex inference tier (Normal/Fast)", "Configuration",
CommandDef("fast", "Toggle OpenAI Priority Processing (Normal/Fast)", "Configuration",
cli_only=True, args_hint="[normal|fast|status]",
subcommands=("normal", "fast", "status", "on", "off")),
CommandDef("skin", "Show or change the display skin/theme", "Configuration",

View File

@@ -1017,58 +1017,45 @@ def provider_label(provider: Optional[str]) -> str:
return _PROVIDER_LABELS.get(normalized, original or "OpenRouter")
_FAST_MODE_BACKEND_CONFIG: dict[str, dict[str, Any]] = {
"gpt-5.4": {
"provider": "openai-codex",
"request_overrides": {"service_tier": "priority"},
},
}
def fast_mode_backend_config(model_id: Optional[str]) -> dict[str, Any] | None:
"""Return backend config for models that expose Fast mode.
To expose Fast mode for a new model, add its normalized model slug to
``_FAST_MODE_BACKEND_CONFIG`` along with the backend runtime selection and
backend-specific request overrides Hermes should apply.
"""
raw = str(model_id or "").strip().lower()
if "/" in raw:
raw = raw.split("/", 1)[1]
config = _FAST_MODE_BACKEND_CONFIG.get(raw)
return dict(config) if config else None
# Models that support OpenAI Priority Processing (service_tier="priority").
# See https://openai.com/api-priority-processing/ for the canonical list.
# Only the bare model slug is stored (no vendor prefix).
_PRIORITY_PROCESSING_MODELS: frozenset[str] = frozenset({
"gpt-5.4",
"gpt-5.4-mini",
"gpt-5.2",
"gpt-5.1",
"gpt-5",
"gpt-5-mini",
"gpt-4.1",
"gpt-4.1-mini",
"gpt-4.1-nano",
"gpt-4o",
"gpt-4o-mini",
"o3",
"o4-mini",
})
def model_supports_fast_mode(model_id: Optional[str]) -> bool:
"""Return whether Hermes should expose Fast mode for the active model."""
return fast_mode_backend_config(model_id) is not None
"""Return whether Hermes should expose the /fast (Priority Processing) toggle."""
raw = str(model_id or "").strip().lower()
if "/" in raw:
raw = raw.split("/", 1)[1]
return raw in _PRIORITY_PROCESSING_MODELS
def resolve_fast_mode_runtime(model_id: Optional[str]) -> dict[str, Any] | None:
"""Resolve runtime selection and request overrides for a fast-mode model."""
cfg = fast_mode_backend_config(model_id)
if not cfg:
def resolve_fast_mode_overrides(model_id: Optional[str]) -> dict[str, Any] | None:
"""Return request_overrides for Priority Processing, or None if unsupported.
Unlike the previous ``resolve_fast_mode_runtime``, this does NOT force a
provider/backend switch. The ``service_tier`` parameter is injected into
whatever API path the user is already on (Codex Responses, Chat Completions,
or OpenRouter passthrough).
"""
if not model_supports_fast_mode(model_id):
return None
from hermes_cli.runtime_provider import resolve_runtime_provider
runtime = resolve_runtime_provider(
requested=cfg.get("provider"),
explicit_base_url=cfg.get("base_url"),
explicit_api_key=cfg.get("api_key"),
)
return {
"runtime": {
"api_key": runtime.get("api_key"),
"base_url": runtime.get("base_url"),
"provider": runtime.get("provider"),
"api_mode": runtime.get("api_mode"),
"command": runtime.get("command"),
"args": list(runtime.get("args") or []),
"credential_pool": runtime.get("credential_pool"),
},
"request_overrides": dict(cfg.get("request_overrides") or {}),
}
return {"service_tier": "priority"}
def _resolve_copilot_catalog_api_key() -> str: