File size: 6,638 Bytes
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from hermes_cli.auth import _update_config_for_provider, get_active_provider
from hermes_cli.config import load_config, save_config
from hermes_cli.setup import setup_model_provider
def _maybe_keep_current_tts(question, choices):
if question != "Select TTS provider:":
return None
assert choices[-1].startswith("Keep current (")
return len(choices) - 1
def _clear_provider_env(monkeypatch):
for key in (
"NOUS_API_KEY",
"OPENROUTER_API_KEY",
"OPENAI_BASE_URL",
"OPENAI_API_KEY",
"LLM_MODEL",
):
monkeypatch.delenv(key, raising=False)
def test_nous_oauth_setup_keeps_current_model_when_syncing_disk_provider(
tmp_path, monkeypatch
):
monkeypatch.setenv("HERMES_HOME", str(tmp_path))
_clear_provider_env(monkeypatch)
config = load_config()
def fake_prompt_choice(question, choices, default=0):
if question == "Select your inference provider:":
return 1 # Nous Portal
if question == "Configure vision:":
return len(choices) - 1
if question == "Select default model:":
assert choices[-1] == "Keep current (anthropic/claude-opus-4.6)"
return len(choices) - 1
tts_idx = _maybe_keep_current_tts(question, choices)
if tts_idx is not None:
return tts_idx
raise AssertionError(f"Unexpected prompt_choice call: {question}")
monkeypatch.setattr("hermes_cli.setup.prompt_choice", fake_prompt_choice)
monkeypatch.setattr("hermes_cli.setup.prompt", lambda *args, **kwargs: "")
monkeypatch.setattr("hermes_cli.auth.detect_external_credentials", lambda: [])
def _fake_login_nous(*args, **kwargs):
auth_path = tmp_path / "auth.json"
auth_path.write_text(json.dumps({"active_provider": "nous", "providers": {}}))
_update_config_for_provider("nous", "https://inference.example.com/v1")
monkeypatch.setattr("hermes_cli.auth._login_nous", _fake_login_nous)
monkeypatch.setattr(
"hermes_cli.auth.resolve_nous_runtime_credentials",
lambda *args, **kwargs: {
"base_url": "https://inference.example.com/v1",
"api_key": "nous-key",
},
)
monkeypatch.setattr(
"hermes_cli.auth.fetch_nous_models",
lambda *args, **kwargs: ["gemini-3-flash"],
)
setup_model_provider(config)
save_config(config)
reloaded = load_config()
assert isinstance(reloaded["model"], dict)
assert reloaded["model"]["provider"] == "nous"
assert reloaded["model"]["base_url"] == "https://inference.example.com/v1"
assert reloaded["model"]["default"] == "anthropic/claude-opus-4.6"
def test_custom_setup_clears_active_oauth_provider(tmp_path, monkeypatch):
monkeypatch.setenv("HERMES_HOME", str(tmp_path))
_clear_provider_env(monkeypatch)
auth_path = tmp_path / "auth.json"
auth_path.write_text(json.dumps({"active_provider": "nous", "providers": {}}))
config = load_config()
def fake_prompt_choice(question, choices, default=0):
if question == "Select your inference provider:":
return 3
tts_idx = _maybe_keep_current_tts(question, choices)
if tts_idx is not None:
return tts_idx
raise AssertionError(f"Unexpected prompt_choice call: {question}")
monkeypatch.setattr("hermes_cli.setup.prompt_choice", fake_prompt_choice)
# _model_flow_custom uses builtins.input (URL, key, model, context_length)
input_values = iter([
"https://custom.example/v1",
"custom-api-key",
"custom/model",
"", # context_length (blank = auto-detect)
])
monkeypatch.setattr("builtins.input", lambda _prompt="": next(input_values))
monkeypatch.setattr("hermes_cli.setup.prompt_yes_no", lambda *args, **kwargs: False)
monkeypatch.setattr("hermes_cli.auth.detect_external_credentials", lambda: [])
monkeypatch.setattr("hermes_cli.main._save_custom_provider", lambda *args, **kwargs: None)
monkeypatch.setattr(
"hermes_cli.models.probe_api_models",
lambda api_key, base_url: {"models": ["m"], "probed_url": base_url + "/models"},
)
setup_model_provider(config)
# Core assertion: switching to custom endpoint clears OAuth provider
assert get_active_provider() is None
# _model_flow_custom writes config via its own load/save cycle
reloaded = load_config()
if isinstance(reloaded.get("model"), dict):
assert reloaded["model"].get("provider") == "custom"
assert reloaded["model"].get("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()
def fake_prompt_choice(question, choices, default=0):
if question == "Select your inference provider:":
return 2 # OpenAI Codex
if question == "Select default model:":
return 0
tts_idx = _maybe_keep_current_tts(question, choices)
if tts_idx is not None:
return tts_idx
raise AssertionError(f"Unexpected prompt_choice call: {question}")
monkeypatch.setattr("hermes_cli.setup.prompt_choice", fake_prompt_choice)
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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