hermes-agent/tests/hermes_cli/test_model_switch_custom_providers.py
David VV 39fcf1d127 fix(model_switch): group custom_providers by endpoint in /model picker (#9210)
Multiple custom_providers entries sharing the same base_url + api_key
are now grouped into a single picker row. A local Ollama host with
per-model display names ("Ollama — GLM 5.1", "Ollama — Qwen3-coder",
"Ollama — Kimi K2", "Ollama — MiniMax M2.7") previously produced four
near-duplicate picker rows that differed only by suffix; now it appears
as one "Ollama" row with four models.

Key changes:
- Grouping key changed from slug-by-name to (base_url, api_key). Names
  frequently differ per model while the endpoint stays the same.
- When the grouped endpoint matches current_base_url, the row's slug is
  set to current_provider so picker-driven switches route through the
  live credential pipeline (no re-resolution needed).
- Per-model suffix is stripped from the display name ("Ollama — X" →
  "Ollama") via em-dash / " - " separators.
- Two groups with different api_keys at the same base_url (or otherwise
  colliding on cleaned name) are disambiguated with a numeric suffix
  (custom:openai, custom:openai-2) so both stay visible.
- current_base_url parameter plumbed through both gateway call sites.

Existing #8216, #11499, #13509 regressions covered (dict/list shapes
of models:, section-3/section-4 dedup, normalized list-format entries).

Salvaged from @davidvv's PR #9210 — the underlying code had diverged
~1400 commits since that PR was opened, so this is a reconstruction of
the same approach on current main rather than a clean cherry-pick.
Authorship preserved via --author on this commit.

Closes #9210
2026-04-23 03:10:30 -07:00

400 lines
16 KiB
Python

"""Regression tests for /model support of config.yaml custom_providers.
The terminal `hermes model` flow already exposes `custom_providers`, but the
shared slash-command pipeline (`/model` in CLI/gateway/Telegram) historically
only looked at `providers:`.
"""
import hermes_cli.providers as providers_mod
from hermes_cli.model_switch import list_authenticated_providers, switch_model
from hermes_cli.providers import resolve_provider_full
_MOCK_VALIDATION = {
"accepted": True,
"persist": True,
"recognized": True,
"message": None,
}
def test_list_authenticated_providers_includes_custom_providers(monkeypatch):
"""No-args /model menus should include saved custom_providers entries."""
monkeypatch.setattr("agent.models_dev.fetch_models_dev", lambda: {})
monkeypatch.setattr(providers_mod, "HERMES_OVERLAYS", {})
providers = list_authenticated_providers(
current_provider="openai-codex",
user_providers={},
custom_providers=[
{
"name": "Local (127.0.0.1:4141)",
"base_url": "http://127.0.0.1:4141/v1",
"model": "rotator-openrouter-coding",
}
],
max_models=50,
)
assert any(
p["slug"] == "custom:local-(127.0.0.1:4141)"
and p["name"] == "Local (127.0.0.1:4141)"
and p["models"] == ["rotator-openrouter-coding"]
and p["api_url"] == "http://127.0.0.1:4141/v1"
for p in providers
)
def test_resolve_provider_full_finds_named_custom_provider():
"""Explicit /model --provider should resolve saved custom_providers entries."""
resolved = resolve_provider_full(
"custom:local-(127.0.0.1:4141)",
user_providers={},
custom_providers=[
{
"name": "Local (127.0.0.1:4141)",
"base_url": "http://127.0.0.1:4141/v1",
}
],
)
assert resolved is not None
assert resolved.id == "custom:local-(127.0.0.1:4141)"
assert resolved.name == "Local (127.0.0.1:4141)"
assert resolved.base_url == "http://127.0.0.1:4141/v1"
assert resolved.source == "user-config"
def test_switch_model_accepts_explicit_named_custom_provider(monkeypatch):
"""Shared /model switch pipeline should accept --provider for custom_providers."""
monkeypatch.setattr(
"hermes_cli.runtime_provider.resolve_runtime_provider",
lambda requested: {
"api_key": "no-key-required",
"base_url": "http://127.0.0.1:4141/v1",
"api_mode": "chat_completions",
},
)
monkeypatch.setattr("hermes_cli.models.validate_requested_model", lambda *a, **k: _MOCK_VALIDATION)
monkeypatch.setattr("hermes_cli.model_switch.get_model_info", lambda *a, **k: None)
monkeypatch.setattr("hermes_cli.model_switch.get_model_capabilities", lambda *a, **k: None)
result = switch_model(
raw_input="rotator-openrouter-coding",
current_provider="openai-codex",
current_model="gpt-5.4",
current_base_url="https://chatgpt.com/backend-api/codex",
current_api_key="",
explicit_provider="custom:local-(127.0.0.1:4141)",
user_providers={},
custom_providers=[
{
"name": "Local (127.0.0.1:4141)",
"base_url": "http://127.0.0.1:4141/v1",
"model": "rotator-openrouter-coding",
}
],
)
assert result.success is True
assert result.target_provider == "custom:local-(127.0.0.1:4141)"
assert result.provider_label == "Local (127.0.0.1:4141)"
assert result.new_model == "rotator-openrouter-coding"
assert result.base_url == "http://127.0.0.1:4141/v1"
assert result.api_key == "no-key-required"
def test_list_groups_same_name_custom_providers_into_one_row(monkeypatch):
"""Multiple custom_providers entries sharing a name should produce one row
with all models collected, not N duplicate rows."""
monkeypatch.setattr("agent.models_dev.fetch_models_dev", lambda: {})
monkeypatch.setattr(providers_mod, "HERMES_OVERLAYS", {})
providers = list_authenticated_providers(
current_provider="openrouter",
user_providers={},
custom_providers=[
{"name": "Ollama Cloud", "base_url": "https://ollama.com/v1", "model": "qwen3-coder:480b-cloud"},
{"name": "Ollama Cloud", "base_url": "https://ollama.com/v1", "model": "glm-5.1:cloud"},
{"name": "Ollama Cloud", "base_url": "https://ollama.com/v1", "model": "kimi-k2.5"},
{"name": "Ollama Cloud", "base_url": "https://ollama.com/v1", "model": "minimax-m2.7:cloud"},
{"name": "Moonshot", "base_url": "https://api.moonshot.ai/v1", "model": "kimi-k2-thinking"},
],
max_models=50,
)
ollama_rows = [p for p in providers if p["name"] == "Ollama Cloud"]
assert len(ollama_rows) == 1, f"Expected 1 Ollama Cloud row, got {len(ollama_rows)}"
assert ollama_rows[0]["models"] == [
"qwen3-coder:480b-cloud", "glm-5.1:cloud", "kimi-k2.5", "minimax-m2.7:cloud"
]
assert ollama_rows[0]["total_models"] == 4
moonshot_rows = [p for p in providers if p["name"] == "Moonshot"]
assert len(moonshot_rows) == 1
assert moonshot_rows[0]["models"] == ["kimi-k2-thinking"]
def test_list_deduplicates_same_model_in_group(monkeypatch):
"""Duplicate model entries under the same provider name should not produce
duplicate entries in the models list."""
monkeypatch.setattr("agent.models_dev.fetch_models_dev", lambda: {})
monkeypatch.setattr(providers_mod, "HERMES_OVERLAYS", {})
providers = list_authenticated_providers(
current_provider="openrouter",
user_providers={},
custom_providers=[
{"name": "MyProvider", "base_url": "http://localhost:11434/v1", "model": "llama3"},
{"name": "MyProvider", "base_url": "http://localhost:11434/v1", "model": "llama3"},
{"name": "MyProvider", "base_url": "http://localhost:11434/v1", "model": "mistral"},
],
max_models=50,
)
my_rows = [p for p in providers if p["name"] == "MyProvider"]
assert len(my_rows) == 1
assert my_rows[0]["models"] == ["llama3", "mistral"]
assert my_rows[0]["total_models"] == 2
def test_list_enumerates_dict_format_models_alongside_default(monkeypatch):
"""custom_providers entry with dict-format ``models:`` plus singular
``model:`` should surface the default and every dict key.
Regression: Hermes's own writer stores configured models as a dict
keyed by model id, but the /model picker previously only honored the
singular ``model:`` field, so multi-model custom providers appeared
to have only the active model.
"""
monkeypatch.setattr("agent.models_dev.fetch_models_dev", lambda: {})
monkeypatch.setattr(providers_mod, "HERMES_OVERLAYS", {})
providers = list_authenticated_providers(
current_provider="openai-codex",
user_providers={},
custom_providers=[
{
"name": "DeepSeek",
"base_url": "https://api.deepseek.com",
"api_mode": "chat_completions",
"model": "deepseek-chat",
"models": {
"deepseek-chat": {"context_length": 128000},
"deepseek-reasoner": {"context_length": 128000},
},
}
],
max_models=50,
)
ds_rows = [p for p in providers if p["name"] == "DeepSeek"]
assert len(ds_rows) == 1
assert ds_rows[0]["models"] == ["deepseek-chat", "deepseek-reasoner"]
assert ds_rows[0]["total_models"] == 2
def test_list_enumerates_dict_format_models_without_singular_model(monkeypatch):
"""Dict-format ``models:`` with no singular ``model:`` should still
enumerate every dict key (previously the picker reported 0 models)."""
monkeypatch.setattr("agent.models_dev.fetch_models_dev", lambda: {})
monkeypatch.setattr(providers_mod, "HERMES_OVERLAYS", {})
providers = list_authenticated_providers(
current_provider="openai-codex",
user_providers={},
custom_providers=[
{
"name": "Thor",
"base_url": "http://thor.lab:8337/v1",
"models": {
"gemma-4-26B-A4B-it-MXFP4_MOE": {"context_length": 262144},
"Qwen3.5-35B-A3B-MXFP4_MOE": {"context_length": 262144},
"gemma-4-31B-it-Q4_K_M": {"context_length": 262144},
},
}
],
max_models=50,
)
thor_rows = [p for p in providers if p["name"] == "Thor"]
assert len(thor_rows) == 1
assert set(thor_rows[0]["models"]) == {
"gemma-4-26B-A4B-it-MXFP4_MOE",
"Qwen3.5-35B-A3B-MXFP4_MOE",
"gemma-4-31B-it-Q4_K_M",
}
assert thor_rows[0]["total_models"] == 3
def test_list_dedupes_dict_model_matching_singular_default(monkeypatch):
"""When the singular ``model:`` is also a key in the ``models:`` dict,
it must appear exactly once in the picker."""
monkeypatch.setattr("agent.models_dev.fetch_models_dev", lambda: {})
monkeypatch.setattr(providers_mod, "HERMES_OVERLAYS", {})
providers = list_authenticated_providers(
current_provider="openai-codex",
user_providers={},
custom_providers=[
{
"name": "DeepSeek",
"base_url": "https://api.deepseek.com",
"model": "deepseek-chat",
"models": {
"deepseek-chat": {"context_length": 128000},
"deepseek-reasoner": {"context_length": 128000},
},
}
],
max_models=50,
)
ds_rows = [p for p in providers if p["name"] == "DeepSeek"]
assert ds_rows[0]["models"].count("deepseek-chat") == 1
assert ds_rows[0]["models"] == ["deepseek-chat", "deepseek-reasoner"]
# ─────────────────────────────────────────────────────────────────────────────
# #9210: group custom_providers by (base_url, api_key) in /model picker
# ─────────────────────────────────────────────────────────────────────────────
def test_list_authenticated_providers_groups_same_endpoint(monkeypatch):
"""Multiple custom_providers entries sharing a base_url+api_key must be
returned as a single picker row with all their models merged."""
monkeypatch.setattr("agent.models_dev.fetch_models_dev", lambda: {})
monkeypatch.setattr(providers_mod, "HERMES_OVERLAYS", {})
providers = list_authenticated_providers(
current_provider="custom",
current_base_url="http://localhost:11434/v1",
user_providers={},
custom_providers=[
{"name": "Ollama — MiniMax M2.7", "base_url": "http://localhost:11434/v1",
"api_key": "ollama", "model": "minimax-m2.7"},
{"name": "Ollama — GLM 5.1", "base_url": "http://localhost:11434/v1",
"api_key": "ollama", "model": "glm-5.1"},
{"name": "Ollama — Qwen3-coder", "base_url": "http://localhost:11434/v1",
"api_key": "ollama", "model": "qwen3-coder"},
],
max_models=50,
)
custom_groups = [p for p in providers if p.get("is_user_defined")]
assert len(custom_groups) == 1, (
"Expected 1 group for shared endpoint, got "
f"{[p['slug'] for p in custom_groups]}"
)
group = custom_groups[0]
assert set(group["models"]) == {"minimax-m2.7", "glm-5.1", "qwen3-coder"}
assert group["total_models"] == 3
# Per-model suffix stripped from display name
assert group["name"] == "Ollama"
def test_list_authenticated_providers_current_endpoint_uses_current_slug(monkeypatch):
"""When current_base_url matches the grouped endpoint, the slug must
equal current_provider so picker selection routes through the live
credential pipeline."""
monkeypatch.setattr("agent.models_dev.fetch_models_dev", lambda: {})
monkeypatch.setattr(providers_mod, "HERMES_OVERLAYS", {})
providers = list_authenticated_providers(
current_provider="custom",
current_base_url="http://localhost:11434/v1",
user_providers={},
custom_providers=[
{"name": "Ollama — GLM 5.1", "base_url": "http://localhost:11434/v1",
"api_key": "ollama", "model": "glm-5.1"},
],
max_models=50,
)
matches = [p for p in providers if p.get("is_user_defined")]
assert len(matches) == 1
group = matches[0]
assert group["slug"] == "custom"
assert group["is_current"] is True
def test_list_authenticated_providers_distinct_endpoints_stay_separate(monkeypatch):
"""Entries with different base_urls must produce separate picker rows
even if some display names happen to be similar."""
monkeypatch.setattr("agent.models_dev.fetch_models_dev", lambda: {})
monkeypatch.setattr(providers_mod, "HERMES_OVERLAYS", {})
providers = list_authenticated_providers(
user_providers={},
custom_providers=[
{"name": "Ollama — GLM 5.1", "base_url": "http://localhost:11434/v1",
"api_key": "ollama", "model": "glm-5.1"},
{"name": "Moonshot", "base_url": "https://api.moonshot.cn/v1",
"api_key": "sk-m", "model": "moonshot-v1"},
{"name": "Ollama — Qwen3-coder", "base_url": "http://localhost:11434/v1",
"api_key": "ollama", "model": "qwen3-coder"},
],
max_models=50,
)
custom_groups = [p for p in providers if p.get("is_user_defined")]
assert len(custom_groups) == 2
# Ollama endpoint collapses to one row with both models
ollama = next(p for p in custom_groups if p["name"] == "Ollama")
assert set(ollama["models"]) == {"glm-5.1", "qwen3-coder"}
moonshot = next(p for p in custom_groups if p["name"] == "Moonshot")
assert moonshot["models"] == ["moonshot-v1"]
def test_list_authenticated_providers_same_url_different_keys_disambiguated(monkeypatch):
"""Two custom_providers entries with the same base_url but different
api_keys (and identical cleaned names) must both stay visible in the
picker — slug is suffixed to disambiguate."""
monkeypatch.setattr("agent.models_dev.fetch_models_dev", lambda: {})
monkeypatch.setattr(providers_mod, "HERMES_OVERLAYS", {})
providers = list_authenticated_providers(
user_providers={},
custom_providers=[
{"name": "OpenAI — key A", "base_url": "https://api.openai.com/v1",
"api_key": "sk-AAA", "model": "gpt-5.4"},
{"name": "OpenAI — key B", "base_url": "https://api.openai.com/v1",
"api_key": "sk-BBB", "model": "gpt-4.6"},
],
max_models=50,
)
custom_groups = [p for p in providers if p.get("is_user_defined")]
assert len(custom_groups) == 2
slugs = sorted(p["slug"] for p in custom_groups)
# First group keeps the base slug, second gets a numeric suffix
assert slugs == ["custom:openai", "custom:openai-2"]
# Each row has a distinct model
models = {p["slug"]: p["models"] for p in custom_groups}
assert models["custom:openai"] == ["gpt-5.4"]
assert models["custom:openai-2"] == ["gpt-4.6"]
def test_list_authenticated_providers_total_models_reflects_grouped_count(monkeypatch):
"""After grouping six entries into one row, total_models must reflect
the full count, and every grouped model appears in the list."""
monkeypatch.setattr("agent.models_dev.fetch_models_dev", lambda: {})
monkeypatch.setattr(providers_mod, "HERMES_OVERLAYS", {})
entries = [
{"name": f"Ollama \u2014 Model {i}", "base_url": "http://localhost:11434/v1",
"api_key": "ollama", "model": f"model-{i}"}
for i in range(6)
]
providers = list_authenticated_providers(
user_providers={},
custom_providers=entries,
max_models=4,
)
groups = [p for p in providers if p.get("is_user_defined")]
assert len(groups) == 1
group = groups[0]
assert group["total_models"] == 6
# All six models are preserved in the grouped row.
assert sorted(group["models"]) == sorted(f"model-{i}" for i in range(6))