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nousresearch--hermes-agent/tests/hermes_cli/test_model_switch_configured_provider_routing.py
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chore: import upstream snapshot with attribution
2026-07-13 11:56:03 +08:00

311 lines
12 KiB
Python

"""Regression tests for #45006: typed `/model <name>` resolution must route a
model declared in user/custom provider config to that provider instead of
leaving it on the current provider and soft-accepting it.
Repro: with the current provider set to ``openai-codex``, typing
``/model qwen3.5-4b`` (a model the user declares under ``providers.<slug>`` or
``custom_providers``) showed ``Provider: OpenAI Codex`` — because typed
detection only consulted static catalogs / OpenRouter, never the user's
configured provider model lists, so the name stayed on Codex and was
soft-accepted as an unknown hidden Codex model.
The fix adds an exact-match configured-provider detection step in
``switch_model`` that runs before ``detect_provider_for_model`` and before
common-path validation. These tests pin its precedence rules and prove the
deliberately-supported Codex hidden-model soft-accept (#16172 / #19729) is left
intact when nothing in config matches.
Hermetic: the model-resolution chain is fully mocked (no network), mirroring
``tests/hermes_cli/test_user_providers_model_switch.py``.
"""
from unittest.mock import patch
from hermes_cli.model_switch import switch_model
_ACCEPTED = {"accepted": True, "persist": True, "recognized": True, "message": None}
_REJECTED = {"accepted": False, "persist": False, "recognized": False, "message": "not found"}
# What validate_requested_model returns for an unknown id on openai-codex: it
# soft-accepts with a "may be a hidden model" note (#16172 / #19729).
_CODEX_SOFT_ACCEPT = {
"accepted": True,
"persist": True,
"recognized": False,
"message": (
"Note: `gpt-5.9-codex-hidden` was not found in the OpenAI Codex model "
"listing. It may still work if your account has access to a newer or "
"hidden model ID."
),
}
def _run_switch(
*,
raw_input,
current_provider,
user_providers=None,
custom_providers=None,
validation=_ACCEPTED,
current_model="old-model",
current_base_url="",
):
"""Drive ``switch_model`` with the resolution chain mocked out.
Every external lookup that would otherwise hit catalogs/network is patched:
alias resolution, aggregator catalog, ``detect_provider_for_model`` (so step
e is a no-op and cannot accidentally reroute), validation, credential
resolution, normalization, and model metadata. This isolates the new
configured-provider detection step.
"""
with patch("hermes_cli.model_switch.resolve_alias", return_value=None), \
patch("hermes_cli.model_switch.list_provider_models", return_value=[]), \
patch("hermes_cli.model_switch.normalize_model_for_provider", side_effect=lambda model, provider: model), \
patch("hermes_cli.models.validate_requested_model", return_value=validation), \
patch("hermes_cli.models.detect_provider_for_model", return_value=None), \
patch("hermes_cli.model_switch.get_model_info", return_value=None), \
patch("hermes_cli.model_switch.get_model_capabilities", return_value=None), \
patch(
"hermes_cli.runtime_provider.resolve_runtime_provider",
return_value={
"api_key": "***",
"base_url": current_base_url or "http://resolved/v1",
"api_mode": "",
},
):
return switch_model(
raw_input=raw_input,
current_provider=current_provider,
current_model=current_model,
current_base_url=current_base_url,
user_providers=user_providers or {},
custom_providers=custom_providers or [],
)
def test_typed_configured_model_routes_away_from_openai_codex():
"""The core repro: a model declared under ``providers.<slug>`` typed while
on ``openai-codex`` routes to the configured provider, not Codex."""
user_providers = {
"local-ollama": {
"name": "Local Ollama",
"base_url": "http://localhost:11434/v1",
"models": ["qwen3.5-4b", "kimi-k2.5"],
}
}
result = _run_switch(
raw_input="qwen3.5-4b",
current_provider="openai-codex",
current_model="gpt-5.4",
user_providers=user_providers,
)
assert result.success is True, result.error_message
assert result.target_provider == "local-ollama"
assert result.new_model == "qwen3.5-4b"
def test_typed_configured_model_routes_to_custom_provider():
"""``custom_providers`` entries route to their ``custom:<name>`` slug."""
custom_providers = [
{
"name": "mylocal",
"base_url": "http://localhost:1234/v1",
"model": "qwen3.5-4b",
"models": {"qwen3.5-4b": {}},
}
]
result = _run_switch(
raw_input="qwen3.5-4b",
current_provider="openai-codex",
current_model="gpt-5.4",
custom_providers=custom_providers,
)
assert result.success is True, result.error_message
assert result.target_provider == "custom:mylocal"
assert result.new_model == "qwen3.5-4b"
def test_current_provider_declaring_model_is_not_rerouted():
"""Precedence rule 4: if the current provider declares the model, keep it —
even when another configured provider also declares the same id (so this
must NOT trip the ambiguity guard)."""
user_providers = {
"local-ollama": {
"name": "Local Ollama",
"base_url": "http://localhost:11434/v1",
"models": ["qwen3.5-4b"],
},
"other-relay": {
"name": "Other Relay",
"base_url": "http://other/v1",
"models": ["qwen3.5-4b"],
},
}
result = _run_switch(
raw_input="qwen3.5-4b",
current_provider="local-ollama",
current_model="kimi-k2.5",
current_base_url="http://localhost:11434/v1",
user_providers=user_providers,
)
assert result.success is True, result.error_message
assert result.target_provider == "local-ollama"
def test_ambiguous_configured_model_fails_with_provider_hint():
"""Precedence rule 6: when two non-current providers declare the same id and
neither is current, fail clearly and point at ``--provider`` — never
silently pick the first match."""
user_providers = {
"relay-a": {
"name": "Relay A",
"base_url": "http://a/v1",
"models": ["qwen3.5-4b"],
},
"relay-b": {
"name": "Relay B",
"base_url": "http://b/v1",
"models": ["qwen3.5-4b"],
},
}
result = _run_switch(
raw_input="qwen3.5-4b",
current_provider="openai-codex",
current_model="gpt-5.4",
user_providers=user_providers,
)
assert result.success is False
assert "--provider" in result.error_message
assert "relay-a" in result.error_message
assert "relay-b" in result.error_message
def test_configured_model_absent_from_live_models_accepted_after_reroute():
"""End-to-end synergy: after rerouting to the configured provider, a live
``/v1/models`` probe that does NOT list the model is still accepted via the
existing user-config override — proving the reroute lands on the right
provider for that override to match."""
user_providers = {
"local-ollama": {
"name": "Local Ollama",
"base_url": "http://localhost:11434/v1",
"models": {"qwen3.5-4b": {"context_length": 32768}},
}
}
result = _run_switch(
raw_input="qwen3.5-4b",
current_provider="openai-codex",
current_model="gpt-5.4",
user_providers=user_providers,
validation=_REJECTED,
)
assert result.success is True, result.error_message
assert result.target_provider == "local-ollama"
assert result.new_model == "qwen3.5-4b"
def test_no_configured_match_leaves_current_provider_for_soft_accept():
"""The Codex hidden-model soft-accept (#16172 / #19729) is untouched: an
unknown id with no config match stays on the current provider and is
soft-accepted exactly as before."""
result = _run_switch(
raw_input="gpt-5.9-codex-hidden",
current_provider="openai-codex",
current_model="gpt-5.4",
# Config is present but declares an unrelated model — detection is a no-op.
user_providers={
"local-ollama": {
"base_url": "http://localhost:11434/v1",
"models": ["qwen3.5-4b"],
}
},
validation=_CODEX_SOFT_ACCEPT,
)
assert result.success is True, result.error_message
assert result.target_provider == "openai-codex"
assert result.new_model == "gpt-5.9-codex-hidden"
def test_configured_match_is_case_insensitive_and_returns_canonical_spelling():
"""Matching is case-insensitive but the configured spelling wins, so the
downstream validation/override path sees the canonical id."""
user_providers = {
"local-ollama": {
"base_url": "http://localhost:11434/v1",
"models": ["Qwen3.5-4B"],
}
}
result = _run_switch(
raw_input="qwen3.5-4b",
current_provider="openai-codex",
current_model="gpt-5.4",
user_providers=user_providers,
)
assert result.success is True, result.error_message
assert result.target_provider == "local-ollama"
assert result.new_model == "Qwen3.5-4B"
def test_default_model_only_declaration_routes():
"""A model declared ONLY via `default_model` (not in `models`) still routes
to that configured provider (#45006 — default_model is a declaring field)."""
user_providers = {
"local-ollama": {
"name": "Local Ollama",
"base_url": "http://localhost:11434/v1",
"default_model": "qwen3.5-4b",
}
}
result = _run_switch(
raw_input="qwen3.5-4b",
current_provider="openai-codex",
current_model="gpt-5.4",
user_providers=user_providers,
)
assert result.success is True, result.error_message
assert result.target_provider == "local-ollama"
assert result.new_model == "qwen3.5-4b"
def test_malformed_provider_config_does_not_raise():
"""Garbage shapes in provider config must not crash detection — they're
skipped and the typed name falls through to the soft-accept no-op."""
user_providers = {
"bad1": "not-a-dict", # non-dict cfg
"bad2": {"models": 12345}, # models as int
"bad3": {"models": [None, 7, {"noname": "x"}]}, # junk list items
"bad4": {"model": {"k": object()}}, # dict with non-target keys
}
custom_providers = [
"not-a-dict", # non-dict entry
{"name": ""}, # empty name
{"models": ["unrelated-model"]}, # no name key
]
result = _run_switch(
raw_input="gpt-5.9-codex-hidden",
current_provider="openai-codex",
current_model="gpt-5.4",
user_providers=user_providers,
custom_providers=custom_providers,
validation=_CODEX_SOFT_ACCEPT,
)
# No match anywhere -> stays on codex, soft-accepted, no exception.
assert result.success is True, result.error_message
assert result.target_provider == "openai-codex"
def test_xai_oauth_soft_accept_preserved_when_no_match():
"""The xai-oauth hidden-model soft-accept (sibling of openai-codex) is also
a no-op when config declares no matching model."""
user_providers = {
"local-ollama": {"base_url": "http://x/v1", "models": ["some-other-model"]},
}
result = _run_switch(
raw_input="grok-hidden-preview",
current_provider="xai-oauth",
current_model="grok-4",
user_providers=user_providers,
validation=_CODEX_SOFT_ACCEPT,
)
assert result.success is True, result.error_message
assert result.target_provider == "xai-oauth"