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133 lines
4.1 KiB
Python
133 lines
4.1 KiB
Python
"""Tests for the OrcaRouter provider registration."""
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from unittest.mock import patch
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from nanobot.config.schema import Config, ProvidersConfig
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from nanobot.providers.factory import make_provider
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from nanobot.providers.openai_compat_provider import OpenAICompatProvider
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from nanobot.providers.registry import PROVIDERS, find_by_name
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def test_orcarouter_config_field_exists() -> None:
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config = ProvidersConfig()
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assert hasattr(config, "orcarouter")
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def test_orcarouter_provider_in_registry() -> None:
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specs = {spec.name: spec for spec in PROVIDERS}
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assert "orcarouter" in specs
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orcarouter = specs["orcarouter"]
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assert orcarouter.backend == "openai_compat"
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assert orcarouter.env_key == "ORCAROUTER_API_KEY"
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assert orcarouter.display_name == "OrcaRouter"
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assert orcarouter.is_gateway is True
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assert orcarouter.detect_by_key_prefix == "sk-orca-"
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assert orcarouter.detect_by_base_keyword == "orcarouter"
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assert orcarouter.default_api_base == "https://api.orcarouter.ai/v1"
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assert orcarouter.strip_model_prefix is False
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def test_find_by_name_orcarouter() -> None:
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spec = find_by_name("orcarouter")
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assert spec is not None
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assert spec.name == "orcarouter"
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def test_orcarouter_forced_provider_uses_default_api_base() -> None:
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config = Config.model_validate({
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"providers": {
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"orcarouter": {
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"apiKey": "sk-orca-test-key",
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},
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},
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"agents": {
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"defaults": {
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"model": "deepseek/deepseek-chat",
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"provider": "orcarouter",
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},
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},
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})
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assert config.get_provider_name("deepseek/deepseek-chat") == "orcarouter"
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assert config.get_api_key("deepseek/deepseek-chat") == "sk-orca-test-key"
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assert config.get_api_base("deepseek/deepseek-chat") == "https://api.orcarouter.ai/v1"
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def test_orcarouter_gateway_routes_auto_model_when_configured() -> None:
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config = Config.model_validate({
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"providers": {
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"orcarouter": {
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"apiKey": "sk-orca-test-key",
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},
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},
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"agents": {
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"defaults": {
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"model": "orcarouter/auto",
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},
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},
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})
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assert config.get_provider_name("orcarouter/auto") == "orcarouter"
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assert config.get_api_key("orcarouter/auto") == "sk-orca-test-key"
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assert config.get_api_base("orcarouter/auto") == "https://api.orcarouter.ai/v1"
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def test_legacy_custom_provider_named_orcarouter_keeps_prefix_stripping() -> None:
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config = Config.model_validate({
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"providers": {
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"orcarouter": {
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"apiKey": "legacy-test-key",
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"apiBase": "https://legacy-gateway.example/v1",
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},
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},
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"agents": {
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"defaults": {
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"model": "orcarouter/custom-model",
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"provider": "orcarouter",
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},
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},
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})
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with patch("nanobot.providers.openai_compat_provider.AsyncOpenAI"):
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provider = make_provider(config)
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assert isinstance(provider, OpenAICompatProvider)
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assert provider.api_base == "https://legacy-gateway.example/v1"
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kwargs = provider._build_kwargs(
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messages=[{"role": "user", "content": "hi"}],
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tools=None,
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model="orcarouter/custom-model",
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max_tokens=1024,
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temperature=0.7,
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reasoning_effort=None,
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tool_choice=None,
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)
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assert kwargs["model"] == "custom-model"
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def test_orcarouter_preserves_model_api_id() -> None:
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spec = find_by_name("orcarouter")
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with patch("nanobot.providers.openai_compat_provider.AsyncOpenAI"):
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provider = OpenAICompatProvider(
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api_key="sk-orca-test-key",
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default_model="anthropic/claude-sonnet-4.6",
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spec=spec,
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)
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kwargs = provider._build_kwargs(
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messages=[{"role": "user", "content": "hi"}],
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tools=None,
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model="anthropic/claude-sonnet-4.6",
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max_tokens=1024,
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temperature=0.7,
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reasoning_effort=None,
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tool_choice=None,
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)
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assert kwargs["model"] == "anthropic/claude-sonnet-4.6"
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assert kwargs["max_tokens"] == 1024
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assert "max_completion_tokens" not in kwargs
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