Merge pull request #1227 from NousResearch/hermes/hermes-07d947aa

fix: surface gpt-5.4 in codex setup
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Teknium 2026-03-13 21:55:51 -07:00 committed by GitHub
commit 7c3cb9bb31
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6 changed files with 145 additions and 4 deletions

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@ -18,6 +18,36 @@ DEFAULT_CODEX_MODELS: List[str] = [
"gpt-5.1-codex-mini",
]
_FORWARD_COMPAT_TEMPLATE_MODELS: List[tuple[str, tuple[str, ...]]] = [
("gpt-5.3-codex", ("gpt-5.2-codex",)),
("gpt-5.4", ("gpt-5.3-codex", "gpt-5.2-codex")),
("gpt-5.3-codex-spark", ("gpt-5.3-codex", "gpt-5.2-codex")),
]
def _add_forward_compat_models(model_ids: List[str]) -> List[str]:
"""Add Clawdbot-style synthetic forward-compat Codex models.
If a newer Codex slug isn't returned by live discovery, surface it when an
older compatible template model is present. This mirrors Clawdbot's
synthetic catalog / forward-compat behavior for GPT-5 Codex variants.
"""
ordered: List[str] = []
seen: set[str] = set()
for model_id in model_ids:
if model_id not in seen:
ordered.append(model_id)
seen.add(model_id)
for synthetic_model, template_models in _FORWARD_COMPAT_TEMPLATE_MODELS:
if synthetic_model in seen:
continue
if any(template in seen for template in template_models):
ordered.append(synthetic_model)
seen.add(synthetic_model)
return ordered
def _fetch_models_from_api(access_token: str) -> List[str]:
"""Fetch available models from the Codex API. Returns visible models sorted by priority."""
@ -54,7 +84,7 @@ def _fetch_models_from_api(access_token: str) -> List[str]:
sortable.append((rank, slug))
sortable.sort(key=lambda x: (x[0], x[1]))
return [slug for _, slug in sortable]
return _add_forward_compat_models([slug for _, slug in sortable])
def _read_default_model(codex_home: Path) -> Optional[str]:
@ -125,7 +155,7 @@ def get_codex_model_ids(access_token: Optional[str] = None) -> List[str]:
if access_token:
api_models = _fetch_models_from_api(access_token)
if api_models:
return api_models
return _add_forward_compat_models(api_models)
# Fall back to local sources
default_model = _read_default_model(codex_home)
@ -140,4 +170,4 @@ def get_codex_model_ids(access_token: Optional[str] = None) -> List[str]:
if model_id not in ordered:
ordered.append(model_id)
return ordered
return _add_forward_compat_models(ordered)

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@ -1057,6 +1057,7 @@ def _model_flow_openai_codex(config, current_model=""):
_codex_token = _codex_creds.get("api_key")
except Exception:
pass
codex_models = get_codex_model_ids(access_token=_codex_token)
selected = _prompt_model_selection(codex_models, current_model=current_model)
@ -1072,6 +1073,7 @@ def _model_flow_openai_codex(config, current_model=""):
print("No change.")
def _model_flow_custom(config):
"""Custom endpoint: collect URL, API key, and model name.

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@ -40,6 +40,7 @@ _PROVIDER_MODELS: dict[str, list[str]] = {
"deepseek-v3.2",
],
"openai-codex": [
"gpt-5.3-codex",
"gpt-5.2-codex",
"gpt-5.1-codex-mini",
"gpt-5.1-codex-max",

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@ -654,6 +654,7 @@ def setup_model_provider(config: dict):
_update_config_for_provider,
_login_openai_codex,
get_codex_auth_status,
resolve_codex_runtime_credentials,
DEFAULT_CODEX_BASE_URL,
detect_external_credentials,
)
@ -1266,7 +1267,15 @@ def setup_model_provider(config: dict):
elif selected_provider == "openai-codex":
from hermes_cli.codex_models import get_codex_model_ids
codex_models = get_codex_model_ids()
codex_token = None
try:
codex_creds = resolve_codex_runtime_credentials()
codex_token = codex_creds.get("api_key")
except Exception as exc:
logger.debug("Could not resolve Codex runtime credentials for model list: %s", exc)
codex_models = get_codex_model_ids(access_token=codex_token)
model_choices = codex_models + [f"Keep current ({current_model})"]
default_codex = 0
if current_model in codex_models:

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@ -95,3 +95,50 @@ def test_custom_setup_clears_active_oauth_provider(tmp_path, monkeypatch):
assert reloaded["model"]["provider"] == "custom"
assert reloaded["model"]["base_url"] == "https://custom.example/v1"
assert reloaded["model"]["default"] == "custom/model"
def test_codex_setup_uses_runtime_access_token_for_live_model_list(tmp_path, monkeypatch):
monkeypatch.setenv("HERMES_HOME", str(tmp_path))
monkeypatch.setenv("OPENROUTER_API_KEY", "or-test-key")
_clear_provider_env(monkeypatch)
monkeypatch.setenv("OPENROUTER_API_KEY", "or-test-key")
config = load_config()
prompt_choices = iter([1, 0])
monkeypatch.setattr(
"hermes_cli.setup.prompt_choice",
lambda *args, **kwargs: next(prompt_choices),
)
monkeypatch.setattr("hermes_cli.setup.prompt", lambda *args, **kwargs: "")
monkeypatch.setattr("hermes_cli.auth.detect_external_credentials", lambda: [])
monkeypatch.setattr("hermes_cli.auth._login_openai_codex", lambda *args, **kwargs: None)
monkeypatch.setattr(
"hermes_cli.auth.resolve_codex_runtime_credentials",
lambda *args, **kwargs: {
"base_url": "https://chatgpt.com/backend-api/codex",
"api_key": "codex-access-token",
},
)
captured = {}
def _fake_get_codex_model_ids(access_token=None):
captured["access_token"] = access_token
return ["gpt-5.2-codex", "gpt-5.2"]
monkeypatch.setattr(
"hermes_cli.codex_models.get_codex_model_ids",
_fake_get_codex_model_ids,
)
setup_model_provider(config)
save_config(config)
reloaded = load_config()
assert captured["access_token"] == "codex-access-token"
assert isinstance(reloaded["model"], dict)
assert reloaded["model"]["provider"] == "openai-codex"
assert reloaded["model"]["default"] == "gpt-5.2-codex"
assert reloaded["model"]["base_url"] == "https://chatgpt.com/backend-api/codex"

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@ -52,6 +52,58 @@ def test_get_codex_model_ids_falls_back_to_curated_defaults(tmp_path, monkeypatc
models = get_codex_model_ids()
assert models[: len(DEFAULT_CODEX_MODELS)] == DEFAULT_CODEX_MODELS
assert "gpt-5.4" in models
assert "gpt-5.3-codex-spark" in models
def test_get_codex_model_ids_adds_forward_compat_models_from_templates(monkeypatch):
monkeypatch.setattr(
"hermes_cli.codex_models._fetch_models_from_api",
lambda access_token: ["gpt-5.2-codex"],
)
models = get_codex_model_ids(access_token="codex-access-token")
assert models == ["gpt-5.2-codex", "gpt-5.3-codex", "gpt-5.4", "gpt-5.3-codex-spark"]
def test_model_command_uses_runtime_access_token_for_codex_list(monkeypatch):
from hermes_cli.main import _model_flow_openai_codex
captured = {}
monkeypatch.setattr(
"hermes_cli.auth.get_codex_auth_status",
lambda: {"logged_in": True},
)
monkeypatch.setattr(
"hermes_cli.auth.resolve_codex_runtime_credentials",
lambda *args, **kwargs: {"api_key": "codex-access-token"},
)
def _fake_get_codex_model_ids(access_token=None):
captured["access_token"] = access_token
return ["gpt-5.2-codex", "gpt-5.2"]
def _fake_prompt_model_selection(model_ids, current_model=""):
captured["model_ids"] = list(model_ids)
captured["current_model"] = current_model
return None
monkeypatch.setattr(
"hermes_cli.codex_models.get_codex_model_ids",
_fake_get_codex_model_ids,
)
monkeypatch.setattr(
"hermes_cli.auth._prompt_model_selection",
_fake_prompt_model_selection,
)
_model_flow_openai_codex({}, current_model="openai/gpt-5.4")
assert captured["access_token"] == "codex-access-token"
assert captured["model_ids"] == ["gpt-5.2-codex", "gpt-5.2"]
assert captured["current_model"] == "openai/gpt-5.4"
# ── Tests for _normalize_model_for_provider ──────────────────────────