| 1 | import json |
| 2 | import sys |
| 3 | import threading |
| 4 | import types |
| 5 | from pathlib import Path |
| 6 | |
| 7 | import pytest |
| 8 | from flask import Flask |
| 9 | |
| 10 | |
| 11 | PROJECT_ROOT = Path(__file__).resolve().parents[1] |
| 12 | if str(PROJECT_ROOT) not in sys.path: |
| 13 | sys.path.insert(0, str(PROJECT_ROOT)) |
| 14 | |
| 15 | sys.modules["giturlparse"] = types.SimpleNamespace(parse=lambda *args, **kwargs: None) |
| 16 | sys.modules["whisper"] = types.SimpleNamespace(load_model=lambda *args, **kwargs: None) |
| 17 | |
| 18 | |
| 19 | class _DummyObserver: |
| 20 | def __init__(self): |
| 21 | self._alive = False |
| 22 | |
| 23 | def is_alive(self): |
| 24 | return self._alive |
| 25 | |
| 26 | def start(self): |
| 27 | self._alive = True |
| 28 | |
| 29 | def stop(self): |
| 30 | self._alive = False |
| 31 | |
| 32 | def join(self, *args, **kwargs): |
| 33 | return None |
| 34 | |
| 35 | def unschedule_all(self): |
| 36 | return None |
| 37 | |
| 38 | def schedule(self, *args, **kwargs): |
| 39 | return None |
| 40 | |
| 41 | |
| 42 | watchdog = types.ModuleType("watchdog") |
| 43 | watchdog.observers = types.SimpleNamespace(Observer=_DummyObserver) |
| 44 | watchdog.events = types.SimpleNamespace(FileSystemEventHandler=object) |
| 45 | sys.modules["watchdog"] = watchdog |
| 46 | sys.modules["watchdog.observers"] = watchdog.observers |
| 47 | sys.modules["watchdog.events"] = watchdog.events |
| 48 | |
| 49 | from plugins._model_config.api.api_keys import ApiKeys |
| 50 | from plugins._model_config.extensions.python.banners import _20_missing_api_key as missing_key_banner |
| 51 | import models |
| 52 | |
| 53 | |
| 54 | def test_model_config_api_keys_can_be_cleared_via_backend(monkeypatch, tmp_path): |
| 55 | from helpers import dotenv |
| 56 | |
| 57 | env_file = tmp_path / ".env" |
| 58 | monkeypatch.setattr(dotenv, "get_dotenv_file_path", lambda: str(env_file)) |
| 59 | |
| 60 | for key in ("API_KEY_OPENROUTER", "OPENROUTER_API_KEY", "OPENROUTER_API_TOKEN"): |
| 61 | monkeypatch.delenv(key, raising=False) |
| 62 | |
| 63 | handler = ApiKeys(Flask(__name__), threading.Lock()) |
| 64 | |
| 65 | assert handler._set_keys({"keys": {"openrouter": "sk-test-openrouter"}}) == {"ok": True} |
| 66 | assert models.get_api_key("openrouter") == "sk-test-openrouter" |
| 67 | |
| 68 | assert handler._set_keys({"keys": {"openrouter": ""}}) == {"ok": True} |
| 69 | assert models.get_api_key("openrouter") == "None" |
| 70 | assert handler._reveal_key({"provider": "openrouter"}) == {"ok": True, "value": ""} |
| 71 | |
| 72 | |
| 73 | def test_chat_model_configured_requires_identity_and_key(monkeypatch): |
| 74 | from plugins._model_config.helpers import model_config |
| 75 | |
| 76 | monkeypatch.setattr( |
| 77 | model_config, |
| 78 | "has_provider_api_key", |
| 79 | lambda provider, configured_api_key="", model_type="chat": provider == "openrouter", |
| 80 | ) |
| 81 | |
| 82 | assert not model_config.is_chat_model_configured({"chat_model": {}}) |
| 83 | assert not model_config.is_chat_model_configured({"chat_model": {"provider": "openrouter"}}) |
| 84 | assert model_config.is_chat_model_configured( |
| 85 | {"chat_model": {"provider": "openrouter", "name": "anthropic/claude"}} |
| 86 | ) |
| 87 | assert not model_config.is_chat_model_configured( |
| 88 | {"chat_model": {"provider": "openai", "name": "gpt-5"}} |
| 89 | ) |
| 90 | |
| 91 | |
| 92 | def test_missing_api_key_checks_only_the_active_vision_model(monkeypatch): |
| 93 | from plugins._model_config.helpers import model_config |
| 94 | |
| 95 | config = { |
| 96 | "chat_model": {"provider": "ollama", "name": "text-main", "vision": True}, |
| 97 | "vision_model": {"provider": "openai", "name": "vision"}, |
| 98 | "utility_model": {"provider": "ollama", "name": "utility"}, |
| 99 | "embedding_model": { |
| 100 | "provider": "huggingface", |
| 101 | "name": "sentence-transformers/all-MiniLM-L6-v2", |
| 102 | }, |
| 103 | } |
| 104 | monkeypatch.setattr(model_config, "get_effective_config", lambda _agent=None: config) |
| 105 | monkeypatch.setattr( |
| 106 | model_config, |
| 107 | "get_embedding_model_config", |
| 108 | lambda _agent=None: config["embedding_model"], |
| 109 | ) |
| 110 | monkeypatch.setattr(model_config, "has_provider_api_key", lambda *args: False) |
| 111 | |
| 112 | assert model_config.get_missing_api_key_providers() == [] |
| 113 | |
| 114 | config["chat_model"]["vision"] = False |
| 115 | assert model_config.get_missing_api_key_providers() == [ |
| 116 | {"model_type": "Vision Model", "provider": "openai"} |
| 117 | ] |
| 118 | |
| 119 | |
| 120 | @pytest.mark.asyncio |
| 121 | async def test_missing_api_key_banner_exposes_only_effective_missing_providers(monkeypatch): |
| 122 | from plugins._model_config.helpers import model_config |
| 123 | |
| 124 | fake = [{"model_type": "Chat Model", "provider": "openai"}] |
| 125 | monkeypatch.setattr(model_config, "get_missing_api_key_providers", lambda: fake) |
| 126 | monkeypatch.setattr( |
| 127 | model_config, |
| 128 | "get_presets", |
| 129 | lambda: [{"name": "Efficiency", "chat": {"provider": "openrouter"}}], |
| 130 | ) |
| 131 | monkeypatch.setattr(model_config, "has_provider_api_key", lambda *args, **kwargs: False) |
| 132 | |
| 133 | banners = [] |
| 134 | await missing_key_banner.MissingApiKeyCheck(agent=None).execute( |
| 135 | banners=banners, frontend_context={} |
| 136 | ) |
| 137 | assert [banner["id"] for banner in banners] == ["missing-api-key"] |
| 138 | row = next(b for b in banners if b.get("id") == "missing-api-key") |
| 139 | assert row.get("missing_providers") == fake |
| 140 | assert row["cta_text"] == "Start Onboarding" |
| 141 | assert row["cta_action"] == "open-modal:/plugins/_onboarding/webui/onboarding.html" |
| 142 | assert "onboarding-banner-btn-container" not in row["html"] |
| 143 | |
| 144 | |
| 145 | def test_model_config_frontend_tracks_provider_api_key_edits(): |
| 146 | store_path = PROJECT_ROOT / "plugins" / "_model_config" / "webui" / "model-config-store.js" |
| 147 | api_keys_mixin_path = PROJECT_ROOT / "plugins" / "_model_config" / "webui" / "api-keys-mixin.js" |
| 148 | model_gate_path = PROJECT_ROOT / "webui" / "components" / "chat" / "model-gate-store.js" |
| 149 | config_path = PROJECT_ROOT / "plugins" / "_model_config" / "webui" / "config.html" |
| 150 | model_field_path = PROJECT_ROOT / "plugins" / "_model_config" / "webui" / "model-field.html" |
| 151 | modal_path = PROJECT_ROOT / "plugins" / "_model_config" / "webui" / "api-keys.html" |
| 152 | |
| 153 | store_content = ( |
| 154 | store_path.read_text(encoding="utf-8") |
| 155 | + "\n" |
| 156 | + api_keys_mixin_path.read_text(encoding="utf-8") |
| 157 | ) |
| 158 | model_gate_content = model_gate_path.read_text(encoding="utf-8") |
| 159 | preset_modal_content = ( |
| 160 | PROJECT_ROOT / "plugins" / "_model_config" / "webui" / "main.html" |
| 161 | ).read_text(encoding="utf-8") |
| 162 | config_content = ( |
| 163 | config_path.read_text(encoding="utf-8") |
| 164 | + "\n" |
| 165 | + model_field_path.read_text(encoding="utf-8") |
| 166 | + "\n" |
| 167 | + preset_modal_content |
| 168 | ) |
| 169 | modal_content = modal_path.read_text(encoding="utf-8") |
| 170 | |
| 171 | assert "apiKeyDirty" in store_content |
| 172 | assert "resetApiKeyDrafts()" in store_content |
| 173 | assert "!provider || seen.has(provider) || !this.apiKeyDirty[provider]" in store_content |
| 174 | assert "normalized[provider] = value.trim() ? value : '';" in store_content |
| 175 | assert 'callJsonApi("/plugins/_model_config/model_config_get"' in model_gate_content |
| 176 | assert "dispatchPendingIfConfigured()" in model_gate_content |
| 177 | assert "/plugins/_model_config/missing_api_key_status" not in model_gate_content |
| 178 | assert '@input="$store.modelConfig.setApiKeyValue(_prov, $el.value)"' in config_content |
| 179 | assert "apiKeyMode: 'none'" not in preset_modal_content |
| 180 | assert preset_modal_content.count("apiKeyMode: 'store'") == 4 |
| 181 | assert "$store.modelConfig.resetApiKeyDrafts();" in preset_modal_content |
| 182 | assert "await $store.modelConfig.refreshApiKeyStatus();" in preset_modal_content |
| 183 | assert "await store.persistAllDirtyApiKeys();" in store_content |
| 184 | assert "persistAllDirtyApiKeys()" in modal_content |
| 185 | assert "$store.modelConfig.resetApiKeyDrafts();" in modal_content |
| 186 | |
| 187 | |
| 188 | def test_model_config_snapshot_sync_only_adjusts_clean_loaded_configs(): |
| 189 | config_path = PROJECT_ROOT / "plugins" / "_model_config" / "webui" / "config.html" |
| 190 | store_path = PROJECT_ROOT / "plugins" / "_model_config" / "webui" / "model-config-store.js" |
| 191 | config_content = config_path.read_text(encoding="utf-8") |
| 192 | store_content = store_path.read_text(encoding="utf-8") |
| 193 | |
| 194 | assert "x-effect" not in config_content |
| 195 | assert "syncContextConfigFields(context, true)" in store_content |
| 196 | assert "context.loadSettings = async" in store_content |
| 197 | assert "context.settingsSnapshotJson === snapshotBeforeInit" in store_content |
| 198 | |
| 199 | |
| 200 | def test_model_switcher_frontend_renders_custom_overrides(): |
| 201 | switcher_path = PROJECT_ROOT / "plugins" / "_model_config" / "webui" / "switcher-mixin.js" |
| 202 | refresh_extension_path = ( |
| 203 | PROJECT_ROOT |
| 204 | / "plugins" |
| 205 | / "_model_config" |
| 206 | / "extensions" |
| 207 | / "webui" |
| 208 | / "apply_snapshot_before" |
| 209 | / "refresh-switcher.js" |
| 210 | ) |
| 211 | |
| 212 | switcher_content = switcher_path.read_text(encoding="utf-8") |
| 213 | switcher_html = ( |
| 214 | PROJECT_ROOT |
| 215 | / "plugins" |
| 216 | / "_model_config" |
| 217 | / "extensions" |
| 218 | / "webui" |
| 219 | / "chat-input-progress-start" |
| 220 | / "model-switcher.html" |
| 221 | ).read_text(encoding="utf-8") |
| 222 | refresh_extension_content = refresh_extension_path.read_text(encoding="utf-8") |
| 223 | |
| 224 | assert "function normalizeModelIdentity(value)" in switcher_content |
| 225 | assert "export function getModelLeafName(value)" in switcher_content |
| 226 | assert 'name.lastIndexOf("/") + 1' in switcher_content |
| 227 | assert "`${presetName} ${mainModelName}`" in switcher_content |
| 228 | assert "formatModelIdentity(models.utility)" not in switcher_content |
| 229 | assert "normalizeModelIdentity(o.chat || o)" in switcher_content |
| 230 | assert "normalizeModelIdentity(o.utility)" in switcher_content |
| 231 | assert "$store.modelConfig.getSwitcherLabel()" in switcher_html |
| 232 | assert "loadAgentProfiles(true)" not in switcher_html |
| 233 | assert "model-switcher-active-pills" not in switcher_html |
| 234 | assert "model-pill-role" not in switcher_html |
| 235 | assert "_model_config_override_revision" in refresh_extension_content |
| 236 | assert "activeContext?.agent_profile" in refresh_extension_content |
| 237 | assert "activeContext?.project" in refresh_extension_content |
| 238 | assert "modelConfigStore.loadAgentProfiles(true)" in refresh_extension_content |
| 239 | assert "modelConfigStore.refreshSwitcher(contextId)" in refresh_extension_content |
| 240 | |
| 241 | |
| 242 | def test_model_override_notifies_state_sync(monkeypatch): |
| 243 | from helpers import state_monitor_integration |
| 244 | from plugins._model_config.api import model_override |
| 245 | |
| 246 | calls = [] |
| 247 | |
| 248 | class FakeContext: |
| 249 | id = "ctx-1" |
| 250 | |
| 251 | def __init__(self): |
| 252 | self.output_data = {} |
| 253 | |
| 254 | def set_output_data(self, key, value): |
| 255 | self.output_data[key] = value |
| 256 | |
| 257 | ctx = FakeContext() |
| 258 | monkeypatch.setattr( |
| 259 | state_monitor_integration, |
| 260 | "mark_dirty_for_context", |
| 261 | lambda context_id, *, reason=None: calls.append((context_id, reason)), |
| 262 | ) |
| 263 | |
| 264 | model_override._notify_model_override_changed(ctx) |
| 265 | |
| 266 | assert "_model_config_override_revision" in ctx.output_data |
| 267 | assert calls == [("ctx-1", "model_config.model_override")] |
| 268 | |
| 269 | |
| 270 | def test_connector_model_switcher_notifies_state_sync(monkeypatch): |
| 271 | from helpers import state_monitor_integration |
| 272 | from plugins._a0_connector.api.v1 import model_switcher |
| 273 | |
| 274 | calls = [] |
| 275 | |
| 276 | class FakeContext: |
| 277 | def __init__(self): |
| 278 | self.output_data = {} |
| 279 | |
| 280 | def set_output_data(self, key, value): |
| 281 | self.output_data[key] = value |
| 282 | |
| 283 | ctx = FakeContext() |
| 284 | monkeypatch.setattr( |
| 285 | state_monitor_integration, |
| 286 | "mark_dirty_for_context", |
| 287 | lambda context_id, *, reason=None: calls.append((context_id, reason)), |
| 288 | ) |
| 289 | |
| 290 | model_switcher._notify_model_override_changed(ctx, "ctx-1") |
| 291 | |
| 292 | assert "_model_config_override_revision" in ctx.output_data |
| 293 | assert calls == [("ctx-1", "a0_connector.model_switcher")] |
| 294 | |
| 295 | |
| 296 | def test_model_config_provider_switch_resets_provider_specific_fields(): |
| 297 | model_field_path = PROJECT_ROOT / "plugins" / "_model_config" / "webui" / "model-field.html" |
| 298 | content = model_field_path.read_text(encoding="utf-8") |
| 299 | select_start = content.index('<select x-model="model.provider"') |
| 300 | select_end = content.index("</select>", select_start) |
| 301 | provider_select = content[select_start:select_end] |
| 302 | |
| 303 | assert 'x-model="model.provider"' in provider_select |
| 304 | assert "model.api_base = ''" in provider_select |
| 305 | assert "model.kwargs = {}" in provider_select |
| 306 | assert "model._kwargs_text = ''" in provider_select |
| 307 | |
| 308 | |
| 309 | def test_model_config_model_field_opens_search_on_click(): |
| 310 | model_field_path = PROJECT_ROOT / "plugins" / "_model_config" / "webui" / "model-field.html" |
| 311 | content = model_field_path.read_text(encoding="utf-8") |
| 312 | |
| 313 | assert '@click="openSearch($el)"' in content |
| 314 | assert '<button class="model-search-btn"' in content |
| 315 | assert 'aria-label="Search available models"' in content |
| 316 | |
| 317 | |
| 318 | def test_model_config_primary_context_controls_are_outside_advanced_settings(): |
| 319 | model_field_path = PROJECT_ROOT / "plugins" / "_model_config" / "webui" / "model-field.html" |
| 320 | content = model_field_path.read_text(encoding="utf-8") |
| 321 | |
| 322 | vision_start = content.index('<div class="field-title">Supports Vision</div>') |
| 323 | context_size_start = content.index('<div class="field-title">Context window size</div>') |
| 324 | advanced_start = content.index("<!-- Advanced Settings (collapsed by default) -->") |
| 325 | max_embeds_start = content.index('<div class="field-title">Max embeds</div>') |
| 326 | |
| 327 | assert content.count('<div class="field-title">Supports Vision</div>') == 1 |
| 328 | assert content.count('<div class="field-title">Context window size</div>') == 1 |
| 329 | assert vision_start < advanced_start |
| 330 | assert context_size_start < advanced_start |
| 331 | assert advanced_start < max_embeds_start |
| 332 | |
| 333 | |
| 334 | def test_ollama_cloud_provider_config_requires_key_and_base_url(): |
| 335 | import yaml |
| 336 | |
| 337 | provider_path = PROJECT_ROOT / "conf/model_providers.yaml" |
| 338 | provider_config = yaml.safe_load(provider_path.read_text(encoding="utf-8")) |
| 339 | ollama_cloud = provider_config["chat"]["ollama_cloud"] |
| 340 | |
| 341 | assert ollama_cloud["name"] == "Ollama Cloud" |
| 342 | assert ollama_cloud["kwargs"]["a0_api_mode"] == "chat" |
| 343 | assert ollama_cloud["kwargs"]["api_base"] == "https://ollama.com/v1" |
| 344 | assert ollama_cloud["models_list"]["endpoint_url"] == "/models" |
| 345 | assert "api_key_mode" not in ollama_cloud |
| 346 | |
| 347 | |
| 348 | def test_cerebras_provider_uses_chat_completions_and_live_model_catalog(monkeypatch): |
| 349 | import yaml |
| 350 | |
| 351 | from plugins._model_config.helpers import model_config |
| 352 | |
| 353 | monkeypatch.setattr(models, "get_api_key", lambda provider: "test-key") |
| 354 | |
| 355 | provider_path = PROJECT_ROOT / "conf/model_providers.yaml" |
| 356 | provider_config = yaml.safe_load(provider_path.read_text(encoding="utf-8")) |
| 357 | cerebras = provider_config["chat"]["cerebras"] |
| 358 | |
| 359 | assert cerebras["name"] == "Cerebras" |
| 360 | assert cerebras["litellm_provider"] == "cerebras" |
| 361 | assert cerebras["models_list"]["endpoint_url"] == "/models" |
| 362 | assert cerebras["kwargs"] == { |
| 363 | "a0_api_mode": "chat", |
| 364 | "api_base": "https://api.cerebras.ai/v1", |
| 365 | } |
| 366 | assert model_config.provider_requires_api_key("cerebras") is True |
| 367 | |
| 368 | model = models.get_chat_model("cerebras", "gpt-oss-120b") |
| 369 | assert model.model_name == "cerebras/gpt-oss-120b" |
| 370 | assert model.kwargs["a0_api_mode"] == "chat" |
| 371 | assert model.kwargs["api_base"] == "https://api.cerebras.ai/v1" |
| 372 | assert model.kwargs["api_key"] == "test-key" |
| 373 | |
| 374 | |
| 375 | def test_direct_venice_chat_provider_defaults_to_chat_completions(monkeypatch): |
| 376 | import yaml |
| 377 | |
| 378 | monkeypatch.setattr(models, "get_api_key", lambda provider: "None") |
| 379 | |
| 380 | provider_path = PROJECT_ROOT / "conf/model_providers.yaml" |
| 381 | provider_config = yaml.safe_load(provider_path.read_text(encoding="utf-8")) |
| 382 | |
| 383 | venice = provider_config["chat"]["venice"] |
| 384 | assert venice["kwargs"]["a0_api_mode"] == "chat" |
| 385 | assert venice["kwargs"]["api_base"] == "https://api.venice.ai/api/v1" |
| 386 | assert venice["kwargs"]["venice_parameters"] == { |
| 387 | "include_venice_system_prompt": False |
| 388 | } |
| 389 | assert provider_config["chat"]["a0_venice"]["kwargs"]["a0_api_mode"] == "chat" |
| 390 | assert "a0_api_mode" not in provider_config["embedding"]["venice"]["kwargs"] |
| 391 | |
| 392 | model = models.get_chat_model("venice", "llama-3.3-70b") |
| 393 | assert model.kwargs["a0_api_mode"] == "chat" |
| 394 | |
| 395 | custom = models.get_chat_model( |
| 396 | "venice", |
| 397 | "llama-3.3-70b", |
| 398 | a0_api_mode="responses", |
| 399 | ) |
| 400 | assert custom.kwargs["a0_api_mode"] == "responses" |
| 401 | |
| 402 | |
| 403 | def test_model_config_migration_repairs_saved_venice_user_slots(monkeypatch, tmp_path): |
| 404 | import yaml |
| 405 | |
| 406 | from helpers import files |
| 407 | from plugins._model_config.extensions.python.startup_migration._10_migrate_model_config import ( |
| 408 | MigrateModelConfig, |
| 409 | ) |
| 410 | |
| 411 | monkeypatch.setattr(files, "_base_dir", str(tmp_path)) |
| 412 | plugin_dir = tmp_path / "usr" / "plugins" / "_model_config" |
| 413 | plugin_dir.mkdir(parents=True) |
| 414 | expected = { |
| 415 | "a0_api_mode": "chat", |
| 416 | "venice_parameters": {"include_venice_system_prompt": False}, |
| 417 | } |
| 418 | |
| 419 | config_path = plugin_dir / "config.json" |
| 420 | config_path.write_text( |
| 421 | json.dumps( |
| 422 | { |
| 423 | "chat_model": { |
| 424 | "provider": "venice", |
| 425 | "name": "llama-3.3-70b", |
| 426 | "kwargs": {"a0_api_mode": "responses"}, |
| 427 | }, |
| 428 | "utility_model": { |
| 429 | "provider": "a0_venice", |
| 430 | "name": "venice-proxy", |
| 431 | "kwargs": {"a0_api_mode": "responses"}, |
| 432 | }, |
| 433 | "embedding_model": { |
| 434 | "provider": "venice", |
| 435 | "name": "embed", |
| 436 | "kwargs": {}, |
| 437 | }, |
| 438 | } |
| 439 | ), |
| 440 | encoding="utf-8", |
| 441 | ) |
| 442 | |
| 443 | presets_path = plugin_dir / "presets.yaml" |
| 444 | presets_path.write_text( |
| 445 | yaml.safe_dump( |
| 446 | [ |
| 447 | { |
| 448 | "name": "Venice", |
| 449 | "chat": { |
| 450 | "provider": "venice", |
| 451 | "name": "llama-3.3-70b", |
| 452 | "kwargs": {"venice_parameters": {"include_venice_system_prompt": True}}, |
| 453 | }, |
| 454 | "utility": { |
| 455 | "provider": "a0_venice", |
| 456 | "name": "proxy", |
| 457 | "kwargs": {"keep": True}, |
| 458 | }, |
| 459 | }, |
| 460 | { |
| 461 | "name": "Legacy raw preset", |
| 462 | "provider": "venice", |
| 463 | "name": "raw", |
| 464 | "kwargs": {"a0_api_mode": "responses"}, |
| 465 | }, |
| 466 | ], |
| 467 | sort_keys=False, |
| 468 | ), |
| 469 | encoding="utf-8", |
| 470 | ) |
| 471 | |
| 472 | MigrateModelConfig(agent=None).execute() |
| 473 | |
| 474 | config = json.loads(config_path.read_text(encoding="utf-8")) |
| 475 | presets = yaml.safe_load(presets_path.read_text(encoding="utf-8")) |
| 476 | |
| 477 | assert config == {"model_preset": "Default"} |
| 478 | assert presets[0]["name"] == "Default" |
| 479 | assert presets[0]["chat"]["kwargs"] == expected |
| 480 | assert presets[0]["embedding"]["kwargs"] == expected |
| 481 | assert presets[0]["utility"]["kwargs"] == {"a0_api_mode": "responses"} |
| 482 | assert presets[1]["chat"]["kwargs"] == expected |
| 483 | assert presets[1]["utility"]["kwargs"] == {"keep": True} |
| 484 | assert presets[2]["chat"]["kwargs"] == expected |
| 485 | assert (plugin_dir / "config.json.pre-unified-presets.bak").exists() |
| 486 | |
| 487 | |
| 488 | def test_local_chat_providers_default_to_chat_completions(): |
| 489 | import yaml |
| 490 | |
| 491 | provider_path = PROJECT_ROOT / "conf/model_providers.yaml" |
| 492 | provider_config = yaml.safe_load(provider_path.read_text(encoding="utf-8")) |
| 493 | |
| 494 | chat_completions_default_providers = ( |
| 495 | "lm_studio", |
| 496 | "llama_cpp", |
| 497 | "ollama", |
| 498 | "ollama_cloud", |
| 499 | "omlx", |
| 500 | "other", |
| 501 | "vllm", |
| 502 | ) |
| 503 | local_embedding_providers = ( |
| 504 | "lm_studio", |
| 505 | "llama_cpp", |
| 506 | "ollama", |
| 507 | "omlx", |
| 508 | "vllm", |
| 509 | ) |
| 510 | |
| 511 | for provider in chat_completions_default_providers: |
| 512 | assert provider_config["chat"][provider]["kwargs"]["a0_api_mode"] == "chat" |
| 513 | |
| 514 | for provider in local_embedding_providers: |
| 515 | assert "a0_api_mode" not in provider_config["embedding"][provider]["kwargs"] |
| 516 | |
| 517 | |
| 518 | def test_provider_api_mode_defaults_use_intended_transport(): |
| 519 | import yaml |
| 520 | |
| 521 | provider_config = yaml.safe_load( |
| 522 | (PROJECT_ROOT / "conf" / "model_providers.yaml").read_text(encoding="utf-8") |
| 523 | ) |
| 524 | oauth_provider_config = yaml.safe_load( |
| 525 | ( |
| 526 | PROJECT_ROOT |
| 527 | / "plugins" |
| 528 | / "_oauth" |
| 529 | / "conf" |
| 530 | / "model_providers.yaml" |
| 531 | ).read_text(encoding="utf-8") |
| 532 | ) |
| 533 | |
| 534 | for provider in provider_config["chat"].values(): |
| 535 | assert provider.get("kwargs", {}).get("a0_api_mode", "chat") == "chat" |
| 536 | |
| 537 | responses_providers = { |
| 538 | provider |
| 539 | for provider, config in oauth_provider_config["chat"].items() |
| 540 | if config.get("kwargs", {}).get("a0_api_mode") == "responses" |
| 541 | } |
| 542 | assert responses_providers == {"codex_oauth", "xai_grok_oauth"} |
| 543 | |
| 544 | for provider, config in oauth_provider_config["chat"].items(): |
| 545 | if provider not in responses_providers: |
| 546 | assert config.get("kwargs", {}).get("a0_api_mode", "chat") == "chat" |
| 547 | |
| 548 | |
| 549 | def test_missing_api_key_banner_does_not_include_auto_modal_metadata(monkeypatch): |
| 550 | from plugins._model_config.helpers import model_config |
| 551 | |
| 552 | fake = [{"model_type": "Chat Model", "provider": "openai"}] |
| 553 | monkeypatch.setattr(model_config, "get_missing_api_key_providers", lambda: fake) |
| 554 | |
| 555 | async def run(): |
| 556 | banners = [] |
| 557 | await missing_key_banner.MissingApiKeyCheck(agent=None).execute( |
| 558 | banners=banners, frontend_context={} |
| 559 | ) |
| 560 | return next(b for b in banners if b.get("id") == "missing-api-key") |
| 561 | |
| 562 | import asyncio |
| 563 | row = asyncio.run(run()) |
| 564 | |
| 565 | assert "auto_modal_path" not in row |
| 566 | assert "auto_modal_reason" not in row |
| 567 | assert "auto_modal_priority" not in row |
| 568 | assert "auto_modal_surfaces" not in row |
| 569 | assert row["type"] == "warning" |
| 570 | assert row["dismissible"] is False |
| 571 | assert row["missing_providers"] == fake |
| 572 | assert row["cta_text"] == "Start Onboarding" |
| 573 | assert row["cta_action"] == "open-modal:/plugins/_onboarding/webui/onboarding.html" |
| 574 | |
| 575 | |
| 576 | def test_provider_key_modes_for_local_and_ollama_cloud(): |
| 577 | from plugins._model_config.helpers import model_config |
| 578 | |
| 579 | assert model_config.provider_requires_api_key("ollama") is False |
| 580 | assert model_config.provider_requires_api_key("lm_studio") is False |
| 581 | assert model_config.provider_requires_api_key("llama_cpp") is False |
| 582 | assert model_config.provider_requires_api_key("omlx") is False |
| 583 | assert model_config.provider_requires_api_key("vllm") is False |
| 584 | assert model_config.provider_requires_api_key("other") is False |
| 585 | assert model_config.provider_requires_api_key("ollama_cloud") is True |
| 586 | |
| 587 | |
| 588 | def test_local_provider_defaults_are_docker_friendly(): |
| 589 | import yaml |
| 590 | |
| 591 | provider_path = PROJECT_ROOT / "conf" / "model_providers.yaml" |
| 592 | provider_config = yaml.safe_load(provider_path.read_text(encoding="utf-8")) |
| 593 | |
| 594 | assert provider_config["chat"]["lm_studio"]["kwargs"]["api_base"] == ( |
| 595 | "http://host.docker.internal:1234/v1" |
| 596 | ) |
| 597 | assert provider_config["chat"]["lm_studio"]["kwargs"]["api_key"] == "lm-studio" |
| 598 | assert provider_config["chat"]["lm_studio"]["models_list"]["default_base"] == ( |
| 599 | "http://host.docker.internal:1234" |
| 600 | ) |
| 601 | assert provider_config["chat"]["llama_cpp"]["litellm_provider"] == "hosted_vllm" |
| 602 | assert provider_config["chat"]["llama_cpp"]["kwargs"]["api_base"] == ( |
| 603 | "http://host.docker.internal:8080/v1" |
| 604 | ) |
| 605 | assert provider_config["chat"]["llama_cpp"]["kwargs"]["api_key"] == "llama-cpp" |
| 606 | assert provider_config["chat"]["llama_cpp"]["models_list"]["default_base"] == ( |
| 607 | "http://host.docker.internal:8080" |
| 608 | ) |
| 609 | assert provider_config["chat"]["llama_cpp"]["models_list"]["endpoint_url"] == "/v1/models" |
| 610 | assert provider_config["chat"]["ollama"]["kwargs"]["api_base"] == ( |
| 611 | "http://host.docker.internal:11434" |
| 612 | ) |
| 613 | assert provider_config["chat"]["ollama"]["models_list"]["default_base"] == ( |
| 614 | "http://host.docker.internal:11434" |
| 615 | ) |
| 616 | assert provider_config["chat"]["omlx"]["litellm_provider"] == "hosted_vllm" |
| 617 | assert provider_config["chat"]["omlx"]["kwargs"]["api_base"] == ( |
| 618 | "http://host.docker.internal:8000/v1" |
| 619 | ) |
| 620 | assert provider_config["chat"]["omlx"]["kwargs"]["api_key"] == "omlx" |
| 621 | assert provider_config["chat"]["omlx"]["models_list"]["default_base"] == ( |
| 622 | "http://host.docker.internal:8000" |
| 623 | ) |
| 624 | assert provider_config["chat"]["omlx"]["models_list"]["endpoint_url"] == "/v1/models" |
| 625 | assert provider_config["chat"]["vllm"]["litellm_provider"] == "hosted_vllm" |
| 626 | assert provider_config["chat"]["vllm"]["kwargs"]["api_base"] == ( |
| 627 | "http://host.docker.internal:8000/v1" |
| 628 | ) |
| 629 | assert provider_config["chat"]["vllm"]["kwargs"]["api_key"] == "vllm" |
| 630 | assert provider_config["chat"]["vllm"]["models_list"]["default_base"] == ( |
| 631 | "http://host.docker.internal:8000" |
| 632 | ) |
| 633 | assert provider_config["chat"]["vllm"]["models_list"]["endpoint_url"] == "/v1/models" |
| 634 | assert provider_config["embedding"]["lm_studio"]["kwargs"]["api_base"] == ( |
| 635 | "http://host.docker.internal:1234/v1" |
| 636 | ) |
| 637 | assert provider_config["embedding"]["lm_studio"]["kwargs"]["api_key"] == "lm-studio" |
| 638 | assert provider_config["embedding"]["llama_cpp"]["litellm_provider"] == "hosted_vllm" |
| 639 | assert provider_config["embedding"]["llama_cpp"]["kwargs"]["api_base"] == ( |
| 640 | "http://host.docker.internal:8080/v1" |
| 641 | ) |
| 642 | assert provider_config["embedding"]["llama_cpp"]["kwargs"]["api_key"] == "llama-cpp" |
| 643 | assert provider_config["embedding"]["ollama"]["kwargs"]["api_base"] == ( |
| 644 | "http://host.docker.internal:11434" |
| 645 | ) |
| 646 | assert provider_config["embedding"]["omlx"]["litellm_provider"] == "hosted_vllm" |
| 647 | assert provider_config["embedding"]["omlx"]["kwargs"]["api_base"] == ( |
| 648 | "http://host.docker.internal:8000/v1" |
| 649 | ) |
| 650 | assert provider_config["embedding"]["omlx"]["kwargs"]["api_key"] == "omlx" |
| 651 | assert provider_config["embedding"]["vllm"]["litellm_provider"] == "hosted_vllm" |
| 652 | assert provider_config["embedding"]["vllm"]["kwargs"]["api_base"] == ( |
| 653 | "http://host.docker.internal:8000/v1" |
| 654 | ) |
| 655 | assert provider_config["embedding"]["vllm"]["kwargs"]["api_key"] == "vllm" |
| 656 | |
| 657 | |
| 658 | def test_local_provider_runtime_defaults_and_overrides(monkeypatch): |
| 659 | monkeypatch.setattr(models, "get_api_key", lambda provider: "None") |
| 660 | |
| 661 | lm_chat = models.get_chat_model("lm_studio", "local-chat-model") |
| 662 | assert lm_chat.model_name == "lm_studio/local-chat-model" |
| 663 | assert lm_chat.kwargs["api_base"] == "http://host.docker.internal:1234/v1" |
| 664 | assert lm_chat.kwargs["api_key"] == "lm-studio" |
| 665 | |
| 666 | lm_embedding = models.get_embedding_model("lm_studio", "nomic-embed-text") |
| 667 | assert lm_embedding.model_name == "lm_studio/nomic-embed-text" |
| 668 | assert lm_embedding.kwargs["api_base"] == "http://host.docker.internal:1234/v1" |
| 669 | assert lm_embedding.kwargs["api_key"] == "lm-studio" |
| 670 | |
| 671 | custom_lm_embedding = models.get_embedding_model( |
| 672 | "lm_studio", |
| 673 | "nomic-embed-text", |
| 674 | api_base="http://127.0.0.1:1234/v1", |
| 675 | api_key="real-local-key", |
| 676 | ) |
| 677 | assert custom_lm_embedding.kwargs["api_base"] == "http://127.0.0.1:1234/v1" |
| 678 | assert custom_lm_embedding.kwargs["api_key"] == "real-local-key" |
| 679 | |
| 680 | llama_cpp_chat = models.get_chat_model("llama_cpp", "local-chat-model") |
| 681 | assert llama_cpp_chat.model_name == "hosted_vllm/local-chat-model" |
| 682 | assert llama_cpp_chat.kwargs["api_base"] == "http://host.docker.internal:8080/v1" |
| 683 | assert llama_cpp_chat.kwargs["api_key"] == "llama-cpp" |
| 684 | |
| 685 | llama_cpp_embedding = models.get_embedding_model("llama_cpp", "local-embedding-model") |
| 686 | assert llama_cpp_embedding.model_name == "hosted_vllm/local-embedding-model" |
| 687 | assert llama_cpp_embedding.kwargs["api_base"] == "http://host.docker.internal:8080/v1" |
| 688 | assert llama_cpp_embedding.kwargs["api_key"] == "llama-cpp" |
| 689 | |
| 690 | ollama_embedding = models.get_embedding_model("ollama", "nomic-embed-text") |
| 691 | assert ollama_embedding.model_name == "ollama/nomic-embed-text" |
| 692 | assert ollama_embedding.kwargs["api_base"] == "http://host.docker.internal:11434" |
| 693 | assert "api_key" not in ollama_embedding.kwargs |
| 694 | |
| 695 | omlx_chat = models.get_chat_model("omlx", "local-chat-model") |
| 696 | assert omlx_chat.model_name == "hosted_vllm/local-chat-model" |
| 697 | assert omlx_chat.kwargs["api_base"] == "http://host.docker.internal:8000/v1" |
| 698 | assert omlx_chat.kwargs["api_key"] == "omlx" |
| 699 | |
| 700 | omlx_embedding = models.get_embedding_model("omlx", "local-embedding-model") |
| 701 | assert omlx_embedding.model_name == "hosted_vllm/local-embedding-model" |
| 702 | assert omlx_embedding.kwargs["api_base"] == "http://host.docker.internal:8000/v1" |
| 703 | assert omlx_embedding.kwargs["api_key"] == "omlx" |
| 704 | |
| 705 | custom_omlx_chat = models.get_chat_model( |
| 706 | "omlx", |
| 707 | "local-chat-model", |
| 708 | api_base="http://127.0.0.1:8000/v1", |
| 709 | api_key="real-local-key", |
| 710 | ) |
| 711 | assert custom_omlx_chat.kwargs["api_base"] == "http://127.0.0.1:8000/v1" |
| 712 | assert custom_omlx_chat.kwargs["api_key"] == "real-local-key" |
| 713 | |
| 714 | vllm_chat = models.get_chat_model("vllm", "local-chat-model") |
| 715 | assert vllm_chat.model_name == "hosted_vllm/local-chat-model" |
| 716 | assert vllm_chat.kwargs["api_base"] == "http://host.docker.internal:8000/v1" |
| 717 | assert vllm_chat.kwargs["api_key"] == "vllm" |
| 718 | |
| 719 | vllm_embedding = models.get_embedding_model("vllm", "local-embedding-model") |
| 720 | assert vllm_embedding.model_name == "hosted_vllm/local-embedding-model" |
| 721 | assert vllm_embedding.kwargs["api_base"] == "http://host.docker.internal:8000/v1" |
| 722 | assert vllm_embedding.kwargs["api_key"] == "vllm" |
| 723 | |
| 724 | custom_vllm_chat = models.get_chat_model( |
| 725 | "vllm", |
| 726 | "local-chat-model", |
| 727 | api_base="http://127.0.0.1:8001/v1", |
| 728 | api_key="real-local-key", |
| 729 | ) |
| 730 | assert custom_vllm_chat.kwargs["api_base"] == "http://127.0.0.1:8001/v1" |
| 731 | assert custom_vllm_chat.kwargs["api_key"] == "real-local-key" |
| 732 | |
| 733 | |
| 734 | def test_openai_compatible_embedding_keeps_gateway_model_string(monkeypatch): |
| 735 | """Gateway model ids must reach LiteLLM with an explicit `openai/` provider. |
| 736 | |
| 737 | An OpenAI-compatible gateway owns its own model namespace, so ids such as |
| 738 | `nvidia/...` or `auto/embedding` are model names, not provider prefixes. |
| 739 | Without the prefix LiteLLM re-parses the first segment as a provider and |
| 740 | either raises "LLM Provider NOT provided" or routes to the wrong provider, |
| 741 | mangling the model id before the gateway ever sees it. |
| 742 | """ |
| 743 | monkeypatch.setattr(models, "get_api_key", lambda provider: "None") |
| 744 | |
| 745 | gateway = "https://gateway.example/v1" |
| 746 | for model in ( |
| 747 | "nvidia/llama-nemotron-embed-vl-1b-v2:free", |
| 748 | "openrouter/openai/text-embedding-3-small", |
| 749 | "auto/embedding", |
| 750 | ): |
| 751 | embedding = models.get_embedding_model( |
| 752 | "other", model, api_base=gateway, api_key="gateway-key" |
| 753 | ) |
| 754 | assert embedding.model_name == f"openai/{model}" |
| 755 | assert embedding.kwargs["api_base"] == gateway |
| 756 | |
| 757 | # The bundled OpenRouter embedding provider is affected the same way: it |
| 758 | # resolves to litellm_provider `openai` against OpenRouter's api_base, so an |
| 759 | # OpenRouter-style id has to survive intact. Previously `openai/<model>` was |
| 760 | # handed to LiteLLM bare, which consumed the `openai/` segment and forwarded |
| 761 | # only `<model>` to OpenRouter. |
| 762 | for model in ( |
| 763 | "openai/text-embedding-3-small", |
| 764 | "nvidia/llama-nemotron-embed-vl-1b-v2:free", |
| 765 | ): |
| 766 | openrouter_embedding = models.get_embedding_model("openrouter", model) |
| 767 | assert openrouter_embedding.model_name == f"openai/{model}" |
| 768 | assert openrouter_embedding.kwargs["api_base"] == "https://openrouter.ai/api/v1" |
| 769 | |
| 770 | # Plain OpenAI behaviour is unchanged: LiteLLM strips the `openai/` prefix |
| 771 | # and forwards the bare model id, exactly as it did without a prefix. |
| 772 | openai_embedding = models.get_embedding_model("openai", "text-embedding-3-small") |
| 773 | assert openai_embedding.model_name == "openai/text-embedding-3-small" |
| 774 | |
| 775 | # Providers that do not resolve to `openai` keep their existing prefix. |
| 776 | ollama_embedding = models.get_embedding_model("ollama", "nomic-embed-text") |
| 777 | assert ollama_embedding.model_name == "ollama/nomic-embed-text" |
| 778 | |
| 779 | |
| 780 | def test_embedding_config_repairs_sentence_transformer_aliases(monkeypatch): |
| 781 | from plugins._model_config.helpers import model_config |
| 782 | |
| 783 | cases = [ |
| 784 | ( |
| 785 | {"provider": "", "name": "sentence-transformers/all-MiniLM-L6-v2"}, |
| 786 | ("huggingface", "sentence-transformers/all-MiniLM-L6-v2"), |
| 787 | ), |
| 788 | ( |
| 789 | {"provider": "openai", "name": "sentence-transformers/all-MiniLM-L6-v2"}, |
| 790 | ("huggingface", "sentence-transformers/all-MiniLM-L6-v2"), |
| 791 | ), |
| 792 | ( |
| 793 | { |
| 794 | "provider": "other", |
| 795 | "name": "huggingface/sentence-transformers/all-MiniLM-L6-v2", |
| 796 | }, |
| 797 | ("huggingface", "sentence-transformers/all-MiniLM-L6-v2"), |
| 798 | ), |
| 799 | ( |
| 800 | {"provider": "huggingface", "name": "all-MiniLM-L6-v2"}, |
| 801 | ("huggingface", "sentence-transformers/all-MiniLM-L6-v2"), |
| 802 | ), |
| 803 | ] |
| 804 | |
| 805 | for raw_embedding, expected in cases: |
| 806 | monkeypatch.setattr( |
| 807 | model_config, |
| 808 | "get_config", |
| 809 | lambda *args, raw_embedding=raw_embedding, **kwargs: { |
| 810 | "embedding_model": raw_embedding |
| 811 | }, |
| 812 | ) |
| 813 | cfg = model_config.get_embedding_model_config_object() |
| 814 | |
| 815 | assert (cfg.provider, cfg.name) == expected |
| 816 | |
| 817 | monkeypatch.setattr( |
| 818 | model_config, |
| 819 | "get_config", |
| 820 | lambda *args, **kwargs: { |
| 821 | "embedding_model": { |
| 822 | "provider": "openai", |
| 823 | "name": "text-embedding-3-small", |
| 824 | } |
| 825 | }, |
| 826 | ) |
| 827 | cfg = model_config.get_embedding_model_config_object() |
| 828 | |
| 829 | assert (cfg.provider, cfg.name) == ("openai", "text-embedding-3-small") |
| 830 | |
| 831 | monkeypatch.setattr( |
| 832 | model_config, |
| 833 | "get_config", |
| 834 | lambda *args, **kwargs: { |
| 835 | "embedding_model": { |
| 836 | "provider": "openai", |
| 837 | "name": "sentence-transformers/all-MiniLM-L6-v2", |
| 838 | } |
| 839 | }, |
| 840 | ) |
| 841 | assert model_config.get_missing_api_key_providers() == [] |
| 842 | |
| 843 | |
| 844 | def test_docker_compose_maps_host_docker_internal_for_local_models(): |
| 845 | import yaml |
| 846 | |
| 847 | compose_path = PROJECT_ROOT / "docker" / "run" / "docker-compose.yml" |
| 848 | compose = yaml.safe_load(compose_path.read_text(encoding="utf-8")) |
| 849 | service = compose["services"]["agent-zero"] |
| 850 | |
| 851 | assert "host.docker.internal:host-gateway" in service["extra_hosts"] |