Files
hermes-agent/hermes_cli/codex_models.py
liuhao1024 82796e06d7 fix(codex): remove dead gpt-5.3-codex from curated fallback list
The chatgpt.com Codex backend now returns HTTP 400 for gpt-5.3-codex
on ChatGPT Pro accounts, matching the same pattern that previously
killed gpt-5.2-codex, gpt-5.1-codex-max, and gpt-5.1-codex-mini.

- Remove gpt-5.3-codex from DEFAULT_CODEX_MODELS
- Update _FORWARD_COMPAT_TEMPLATE_MODELS to re-anchor gpt-5.3-codex-spark
  on gpt-5.4/gpt-5.5 templates instead of the dead gpt-5.3-codex
- Update forward-compat test to use gpt-5.5 as trigger model

Fixes #52492
2026-09-19 10:22:33 -07:00

183 lines
8.0 KiB
Python

"""Codex model discovery from API, local cache, and config."""
from __future__ import annotations
import json
import logging
import os
from pathlib import Path
from typing import List, Optional
logger = logging.getLogger(__name__)
# Curated offline fallback (first-run, transient API failure). Only slugs the ChatGPT Codex
# OAuth backend actually accepts: the public API's "-pro" variants and the retired
# gpt-5.3-codex / gpt-5.2-codex / gpt-5.1-codex-max / gpt-5.1-codex-mini return HTTP 400 there
# ("not supported when using Codex with a ChatGPT account"), so listing them leaked dead picker
# choices (#52492). If OpenAI re-enables any, live discovery (_fetch_models_from_api) picks them
# up automatically.
DEFAULT_CODEX_MODELS: List[str] = [
"gpt-5.6-sol",
"gpt-5.6-terra",
"gpt-5.6-luna",
"gpt-5.5",
"gpt-5.4-mini",
"gpt-5.4",
# Research preview exposed ONLY via the Codex OAuth backend for ChatGPT Pro subscribers —
# not in the public API, so it stays out of the "openai" catalog in hermes_cli/models.py.
# The backend reports ``supported_in_api: false`` for it; that flag describes API
# availability, not Codex availability, so fetch/cache paths must not filter on it.
"gpt-5.3-codex-spark"]
# gpt-5.3-codex-spark is in research preview and is exposed *only* via the Codex CLI / OAuth backend
# (chatgpt.com/backend-api/codex/models) for ChatGPT Pro subscribers. It is NOT available in the public
# OpenAI API, so it intentionally stays out of the "openai" provider catalog in hermes_cli/models.py — only
# the openai-codex (OAuth) provider surfaces it. The Codex backend reports ``supported_in_api: false`` for
# this slug; that flag describes API availability, not Codex backend availability, so the fetch/cache code
# paths below intentionally do not filter on it. PR #12994 removed this entry on the assumption it was
# unsupported — that was wrong; restored here. Keep it in the curated fallback so Pro users still see Spark
# in `/model` when live discovery is unavailable (offline first run, transient API failure).
_FORWARD_COMPAT_TEMPLATE_MODELS: List[tuple[str, tuple[str, ...]]] = [
("gpt-5.6-sol", ("gpt-5.5", "gpt-5.4")),
("gpt-5.6-terra", ("gpt-5.5", "gpt-5.4")),
("gpt-5.6-luna", ("gpt-5.5", "gpt-5.4")),
("gpt-5.5", ("gpt-5.4", "gpt-5.4-mini")),
# Spark surfaces whenever a compatible template is present; the backend (not Hermes)
# gates real availability by ChatGPT Pro entitlement.
("gpt-5.3-codex-spark", ("gpt-5.4", "gpt-5.5"))]
def _dedupe(model_ids) -> List[str]:
"""Order-preserving dedupe."""
return list(dict.fromkeys(model_ids))
def _add_forward_compat_models(model_ids: List[str]) -> List[str]:
"""Surface newer Codex slugs missing from live discovery when an older compatible template is
present (Clawdbot-style synthetic forward-compat catalog)."""
ordered = _dedupe(model_ids)
seen = set(ordered)
for synthetic_model, template_models in _FORWARD_COMPAT_TEMPLATE_MODELS:
if synthetic_model not in seen and any(template in seen for template in template_models):
ordered.append(synthetic_model)
seen.add(synthetic_model)
return ordered
def _add_context_variants(model_ids: List[str]) -> List[str]:
"""Insert ``<slug>-900k`` large-context picker variants after eligible base slugs.
Base slugs keep the cheaper advertised 272K limit; the variant opts into the large window.
The suffix is Hermes-side only — stripped before the id hits the wire (agent/transports/codex.py,
agent/auxiliary_client.py).
"""
from agent.model_metadata import CODEX_CONTEXT_VARIANT_SUFFIX, has_codex_context_variant
out: List[str] = []
present = set(model_ids)
for model_id in model_ids:
out.append(model_id)
variant = model_id + CODEX_CONTEXT_VARIANT_SUFFIX
if variant in present or variant in out:
continue
if has_codex_context_variant(model_id):
out.append(variant)
return out
def _finalize_codex_models(model_ids: List[str]) -> List[str]:
"""Forward-compat synthesis + large-context variant synthesis."""
return _add_context_variants(_add_forward_compat_models(model_ids))
def _drop_undiscovered_astra(model_ids: List[str]) -> List[str]:
"""Astra is account-gated: only the live account-scoped catalog may advertise it. A stale
``models_cache.json`` or a ``config.toml`` default is a compatibility hint, not entitlement."""
from agent.reasoning_effort import is_astra_model
return [model for model in model_ids if not is_astra_model(model)]
def _ranked_slugs(entries: object) -> List[str]:
"""Visible slugs from a Codex catalog ``models`` list, sorted by (priority, slug), deduped.
Does not filter on ``supported_in_api``: that flag describes the public OpenAI API, while the
OAuth-backed Codex backend still accepts slugs marked false there (gpt-5.3-codex-spark).
"""
sortable = []
for item in entries:
if not isinstance(item, dict):
continue
slug = item.get("slug")
if not isinstance(slug, str) or not slug.strip():
continue
visibility = item.get("visibility")
if isinstance(visibility, str) and visibility.strip().lower() in {"hide", "hidden"}:
continue
priority = item.get("priority")
rank = int(priority) if isinstance(priority, (int, float)) else 10_000
sortable.append((rank, slug.strip()))
sortable.sort()
return _dedupe(slug for _, slug in sortable)
def _fetch_models_from_api(access_token: str) -> List[str]:
"""Fetch available models from the Codex API. Returns visible models sorted by priority."""
try:
import httpx
# The per-account catalog needs ChatGPT-Account-ID (else ``{"models":[]}`` with HTTP 200
# masquerades as "no models") and, for residency-enforced workspaces, the residency header.
from agent.codex_headers import codex_account_headers
headers = {"Authorization": f"Bearer {access_token}", **codex_account_headers(access_token)}
from agent.model_metadata import CODEX_MODELS_CATALOG_URL
resp = httpx.get(CODEX_MODELS_CATALOG_URL, headers=headers, timeout=10)
if resp.status_code != 200:
return []
data = resp.json()
entries = data.get("models", []) if isinstance(data, dict) else []
except Exception as exc:
logger.debug("Failed to fetch Codex models from API: %s", exc)
return []
return _finalize_codex_models(_ranked_slugs(entries))
def _read_default_model(codex_home: Path) -> Optional[str]:
config_path = codex_home / "config.toml"
if not config_path.exists():
return None
try:
import tomllib
payload = tomllib.loads(config_path.read_text(encoding="utf-8"))
except Exception:
return None
model = payload.get("model") if isinstance(payload, dict) else None
return model.strip() if isinstance(model, str) and model.strip() else None
def _read_cache_models(codex_home: Path) -> List[str]:
cache_path = codex_home / "models_cache.json"
if not cache_path.exists():
return []
try:
raw = json.loads(cache_path.read_text(encoding="utf-8"))
except Exception:
return []
entries = raw.get("models") if isinstance(raw, dict) else None
return _ranked_slugs(entries if isinstance(entries, list) else [])
def get_codex_model_ids(access_token: Optional[str] = None) -> List[str]:
"""Available Codex model IDs: live API (if token) > config.toml default > local cache > defaults."""
codex_home = Path(os.getenv("CODEX_HOME", "").strip() or str(Path.home() / ".codex")).expanduser()
if access_token:
api_models = _fetch_models_from_api(access_token)
if api_models:
return _finalize_codex_models(api_models)
default_model = _read_default_model(codex_home)
return _finalize_codex_models(_drop_undiscovered_astra(_dedupe([
*([default_model] if default_model else []), *_read_cache_models(codex_home),
*DEFAULT_CODEX_MODELS])))