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Run online, offine chat actor, director tests for any supported provider
- Previously online chat actors, director tests only worked with openai. This change allows running them for any supported onlnie provider including Google, Anthropic and Openai. - Enable online/offline chat actor, director in two ways: 1. Explicitly setting KHOJ_TEST_CHAT_PROVIDER environment variable to google, anthropic, openai, offline 2. Implicitly by the first API key found from openai, google or anthropic. - Default offline chat provider to use Llama 3.1 3B for faster, lower compute test runs
This commit is contained in:
parent
653127bf1d
commit
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6 changed files with 64 additions and 27 deletions
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@ -13,6 +13,7 @@ from khoj.configure import (
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)
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)
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from khoj.database.models import (
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from khoj.database.models import (
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Agent,
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Agent,
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ChatModelOptions,
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GithubConfig,
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GithubConfig,
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GithubRepoConfig,
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GithubRepoConfig,
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KhojApiUser,
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KhojApiUser,
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@ -39,6 +40,8 @@ from tests.helpers import (
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SubscriptionFactory,
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SubscriptionFactory,
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UserConversationProcessorConfigFactory,
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UserConversationProcessorConfigFactory,
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UserFactory,
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UserFactory,
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get_chat_api_key,
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get_chat_provider,
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)
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)
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@ -307,10 +310,19 @@ def chat_client_builder(search_config, user, index_content=True, require_auth=Fa
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configure_content(user, all_files)
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configure_content(user, all_files)
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# Initialize Processor from Config
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# Initialize Processor from Config
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if os.getenv("OPENAI_API_KEY"):
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chat_provider = get_chat_provider()
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chat_model = ChatModelOptionsFactory(chat_model="gpt-4o-mini", model_type="openai")
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online_chat_model: ChatModelOptionsFactory = None
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chat_model.openai_config = OpenAIProcessorConversationConfigFactory()
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if chat_provider == ChatModelOptions.ModelType.OPENAI:
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UserConversationProcessorConfigFactory(user=user, setting=chat_model)
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online_chat_model = ChatModelOptionsFactory(chat_model="gpt-4o-mini", model_type="openai")
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elif chat_provider == ChatModelOptions.ModelType.GOOGLE:
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online_chat_model = ChatModelOptionsFactory(chat_model="gemini-1.5-flash", model_type="google")
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elif chat_provider == ChatModelOptions.ModelType.ANTHROPIC:
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online_chat_model = ChatModelOptionsFactory(chat_model="claude-3-5-haiku-20241022", model_type="anthropic")
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if online_chat_model:
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online_chat_model.openai_config = OpenAIProcessorConversationConfigFactory(
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api_key=get_chat_api_key(chat_provider)
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)
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UserConversationProcessorConfigFactory(user=user, setting=online_chat_model)
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state.anonymous_mode = not require_auth
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state.anonymous_mode = not require_auth
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@ -385,7 +397,7 @@ def client_offline_chat(search_config: SearchConfig, default_user2: KhojUser):
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# Initialize Processor from Config
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# Initialize Processor from Config
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ChatModelOptionsFactory(
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ChatModelOptionsFactory(
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chat_model="bartowski/Meta-Llama-3.1-8B-Instruct-GGUF",
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chat_model="bartowski/Meta-Llama-3.1-3B-Instruct-GGUF",
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tokenizer=None,
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tokenizer=None,
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max_prompt_size=None,
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max_prompt_size=None,
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model_type="offline",
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model_type="offline",
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@ -17,6 +17,32 @@ from khoj.database.models import (
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)
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)
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def get_chat_provider(default: ChatModelOptions.ModelType | None = ChatModelOptions.ModelType.OFFLINE):
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provider = os.getenv("KHOJ_TEST_CHAT_PROVIDER")
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if provider and provider in ChatModelOptions.ModelType:
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return ChatModelOptions.ModelType(provider)
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elif os.getenv("OPENAI_API_KEY"):
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return ChatModelOptions.ModelType.OPENAI
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elif os.getenv("GEMINI_API_KEY"):
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return ChatModelOptions.ModelType.GOOGLE
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elif os.getenv("ANTHROPIC_API_KEY"):
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return ChatModelOptions.ModelType.ANTHROPIC
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else:
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return default
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def get_chat_api_key(provider: ChatModelOptions.ModelType = None):
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provider = provider or get_chat_provider()
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if provider == ChatModelOptions.ModelType.OPENAI:
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return os.getenv("OPENAI_API_KEY")
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elif provider == ChatModelOptions.ModelType.GOOGLE:
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return os.getenv("GEMINI_API_KEY")
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elif provider == ChatModelOptions.ModelType.ANTHROPIC:
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return os.getenv("ANTHROPIC_API_KEY")
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else:
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return os.getenv("OPENAI_API_KEY") or os.getenv("GEMINI_API_KEY") or os.getenv("ANTHROPIC_API_KEY")
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class UserFactory(factory.django.DjangoModelFactory):
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class UserFactory(factory.django.DjangoModelFactory):
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class Meta:
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class Meta:
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model = KhojUser
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model = KhojUser
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@ -40,19 +66,19 @@ class OpenAIProcessorConversationConfigFactory(factory.django.DjangoModelFactory
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class Meta:
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class Meta:
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model = OpenAIProcessorConversationConfig
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model = OpenAIProcessorConversationConfig
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api_key = os.getenv("OPENAI_API_KEY")
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api_key = get_chat_api_key()
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class ChatModelOptionsFactory(factory.django.DjangoModelFactory):
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class ChatModelOptionsFactory(factory.django.DjangoModelFactory):
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class Meta:
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class Meta:
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model = ChatModelOptions
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model = ChatModelOptions
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max_prompt_size = 3500
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max_prompt_size = 20000
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tokenizer = None
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tokenizer = None
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chat_model = "bartowski/Meta-Llama-3.1-8B-Instruct-GGUF"
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chat_model = "bartowski/Meta-Llama-3.2-3B-Instruct-GGUF"
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model_type = "offline"
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model_type = get_chat_provider()
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openai_config = factory.LazyAttribute(
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openai_config = factory.LazyAttribute(
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lambda obj: OpenAIProcessorConversationConfigFactory() if os.getenv("OPENAI_API_KEY") else None
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lambda obj: OpenAIProcessorConversationConfigFactory() if get_chat_api_key() else None
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)
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)
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@ -2,7 +2,10 @@ from datetime import datetime
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import pytest
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import pytest
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SKIP_TESTS = True
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from khoj.database.models import ChatModelOptions
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from tests.helpers import get_chat_provider
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SKIP_TESTS = get_chat_provider(default=None) != ChatModelOptions.ModelType.OFFLINE
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pytestmark = pytest.mark.skipif(
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pytestmark = pytest.mark.skipif(
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SKIP_TESTS,
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SKIP_TESTS,
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reason="Disable in CI to avoid long test runs.",
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reason="Disable in CI to avoid long test runs.",
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@ -4,13 +4,13 @@ import pytest
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from faker import Faker
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from faker import Faker
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from freezegun import freeze_time
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from freezegun import freeze_time
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from khoj.database.models import Agent, Entry, KhojUser
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from khoj.database.models import Agent, ChatModelOptions, Entry, KhojUser
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from khoj.processor.conversation import prompts
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from khoj.processor.conversation import prompts
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from khoj.processor.conversation.utils import message_to_log
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from khoj.processor.conversation.utils import message_to_log
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from khoj.routers.helpers import aget_data_sources_and_output_format
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from khoj.routers.helpers import aget_data_sources_and_output_format
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from tests.helpers import ConversationFactory
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from tests.helpers import ConversationFactory, get_chat_provider
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SKIP_TESTS = True
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SKIP_TESTS = get_chat_provider(default=None) != ChatModelOptions.ModelType.OFFLINE
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pytestmark = pytest.mark.skipif(
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pytestmark = pytest.mark.skipif(
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SKIP_TESTS,
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SKIP_TESTS,
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reason="Disable in CI to avoid long test runs.",
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reason="Disable in CI to avoid long test runs.",
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@ -14,14 +14,13 @@ from khoj.routers.helpers import (
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should_notify,
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should_notify,
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)
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)
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from khoj.utils.helpers import ConversationCommand
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from khoj.utils.helpers import ConversationCommand
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from khoj.utils.rawconfig import LocationData
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from tests.helpers import get_chat_api_key
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from tests.conftest import default_user2
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# Initialize variables for tests
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# Initialize variables for tests
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api_key = os.getenv("OPENAI_API_KEY")
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api_key = get_chat_api_key()
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if api_key is None:
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if api_key is None:
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pytest.skip(
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pytest.skip(
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reason="Set OPENAI_API_KEY environment variable to run tests below. Get OpenAI API key from https://platform.openai.com/account/api-keys",
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reason="Set OPENAI_API_KEY, GEMINI_API_KEY or ANTHROPIC_API_KEY environment variable to run tests below.",
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allow_module_level=True,
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allow_module_level=True,
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)
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)
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@ -42,7 +41,6 @@ def test_extract_question_with_date_filter_from_relative_day():
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("dt>='1984-04-01'", "dt<'1984-04-02'"),
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("dt>='1984-04-01'", "dt<'1984-04-02'"),
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("dt>'1984-03-31'", "dt<'1984-04-02'"),
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("dt>'1984-03-31'", "dt<'1984-04-02'"),
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]
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]
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assert len(response) == 1
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assert any([start in response[0] and end in response[0] for start, end in expected_responses]), (
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assert any([start in response[0] and end in response[0] for start, end in expected_responses]), (
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"Expected date filter to limit to 1st April 1984 in response but got: " + response[0]
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"Expected date filter to limit to 1st April 1984 in response but got: " + response[0]
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)
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)
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@ -105,9 +103,9 @@ def test_extract_multiple_implicit_questions_from_message():
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expected_responses = [
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expected_responses = [
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("morpheus", "neo"),
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("morpheus", "neo"),
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]
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]
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assert len(response) == 2
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assert len(response) > 1
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assert any([start in response[0].lower() and end in response[1].lower() for start, end in expected_responses]), (
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assert any([start in response[0].lower() and end in response[1].lower() for start, end in expected_responses]), (
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"Expected two search queries in response but got: " + response[0]
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"Expected more than one search query in response but got: " + response[0]
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)
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)
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@ -153,8 +151,7 @@ def test_generate_search_query_using_question_and_answer_from_chat_history():
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response = extract_questions("Who is their father?", conversation_log=populate_chat_history(message_list))
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response = extract_questions("Who is their father?", conversation_log=populate_chat_history(message_list))
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# Assert
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# Assert
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assert len(response) == 1
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assert any(["Leia" in response or "Luke" in response for response in response])
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assert "Leia" in response[0] and "Luke" in response[0]
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# ----------------------------------------------------------------------------------------------------
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# ----------------------------------------------------------------------------------------------------
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@ -1,18 +1,17 @@
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import os
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import os
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import urllib.parse
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import urllib.parse
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from urllib.parse import quote
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import pytest
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import pytest
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from freezegun import freeze_time
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from freezegun import freeze_time
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from khoj.database.models import Agent, Entry, KhojUser, LocalPdfConfig
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from khoj.database.models import Agent, Entry, KhojUser
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from khoj.processor.conversation import prompts
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from khoj.processor.conversation import prompts
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from khoj.processor.conversation.utils import message_to_log
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from khoj.processor.conversation.utils import message_to_log
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from khoj.routers.helpers import aget_data_sources_and_output_format
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from khoj.routers.helpers import aget_data_sources_and_output_format
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from tests.helpers import ConversationFactory
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from tests.helpers import ConversationFactory, get_chat_api_key
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# Initialize variables for tests
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# Initialize variables for tests
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api_key = os.getenv("OPENAI_API_KEY")
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api_key = get_chat_api_key()
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if api_key is None:
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if api_key is None:
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pytest.skip(
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pytest.skip(
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reason="Set OPENAI_API_KEY environment variable to run tests below. Get OpenAI API key from https://platform.openai.com/account/api-keys",
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reason="Set OPENAI_API_KEY environment variable to run tests below. Get OpenAI API key from https://platform.openai.com/account/api-keys",
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