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* Extract optional dependencies * Separate local mode into llms-llama-cpp and embeddings-huggingface for clarity * Support Ollama embeddings * Upgrade to llamaindex 0.10.14. Remove legacy use of ServiceContext in ContextChatEngine * Fix vector retriever filters
138 lines
4.0 KiB
Python
138 lines
4.0 KiB
Python
import pytest
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from llama_index.core.llms import ChatMessage, MessageRole
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from private_gpt.components.llm.prompt_helper import (
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ChatMLPromptStyle,
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DefaultPromptStyle,
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Llama2PromptStyle,
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MistralPromptStyle,
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TagPromptStyle,
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get_prompt_style,
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)
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@pytest.mark.parametrize(
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("prompt_style", "expected_prompt_style"),
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[
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("default", DefaultPromptStyle),
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("llama2", Llama2PromptStyle),
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("tag", TagPromptStyle),
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("mistral", MistralPromptStyle),
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("chatml", ChatMLPromptStyle),
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],
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)
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def test_get_prompt_style_success(prompt_style, expected_prompt_style):
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assert isinstance(get_prompt_style(prompt_style), expected_prompt_style)
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def test_get_prompt_style_failure():
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prompt_style = "unknown"
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with pytest.raises(ValueError) as exc_info:
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get_prompt_style(prompt_style)
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assert str(exc_info.value) == f"Unknown prompt_style='{prompt_style}'"
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def test_tag_prompt_style_format():
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prompt_style = TagPromptStyle()
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messages = [
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ChatMessage(content="You are an AI assistant.", role=MessageRole.SYSTEM),
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ChatMessage(content="Hello, how are you doing?", role=MessageRole.USER),
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]
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expected_prompt = (
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"<|system|>: You are an AI assistant.\n"
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"<|user|>: Hello, how are you doing?\n"
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"<|assistant|>: "
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)
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assert prompt_style.messages_to_prompt(messages) == expected_prompt
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def test_tag_prompt_style_format_with_system_prompt():
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prompt_style = TagPromptStyle()
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messages = [
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ChatMessage(
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content="FOO BAR Custom sys prompt from messages.", role=MessageRole.SYSTEM
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),
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ChatMessage(content="Hello, how are you doing?", role=MessageRole.USER),
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]
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expected_prompt = (
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"<|system|>: FOO BAR Custom sys prompt from messages.\n"
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"<|user|>: Hello, how are you doing?\n"
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"<|assistant|>: "
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)
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assert prompt_style.messages_to_prompt(messages) == expected_prompt
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def test_mistral_prompt_style_format():
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prompt_style = MistralPromptStyle()
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messages = [
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ChatMessage(content="You are an AI assistant.", role=MessageRole.SYSTEM),
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ChatMessage(content="Hello, how are you doing?", role=MessageRole.USER),
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]
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expected_prompt = (
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"<s>[INST] You are an AI assistant. [/INST]</s>"
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"[INST] Hello, how are you doing? [/INST]"
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)
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assert prompt_style.messages_to_prompt(messages) == expected_prompt
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def test_chatml_prompt_style_format():
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prompt_style = ChatMLPromptStyle()
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messages = [
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ChatMessage(content="You are an AI assistant.", role=MessageRole.SYSTEM),
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ChatMessage(content="Hello, how are you doing?", role=MessageRole.USER),
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]
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expected_prompt = (
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"<|im_start|>system\n"
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"You are an AI assistant.<|im_end|>\n"
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"<|im_start|>user\n"
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"Hello, how are you doing?<|im_end|>\n"
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"<|im_start|>assistant\n"
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)
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assert prompt_style.messages_to_prompt(messages) == expected_prompt
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def test_llama2_prompt_style_format():
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prompt_style = Llama2PromptStyle()
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messages = [
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ChatMessage(content="You are an AI assistant.", role=MessageRole.SYSTEM),
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ChatMessage(content="Hello, how are you doing?", role=MessageRole.USER),
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]
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expected_prompt = (
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"<s> [INST] <<SYS>>\n"
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" You are an AI assistant. \n"
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"<</SYS>>\n"
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"\n"
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" Hello, how are you doing? [/INST]"
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)
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assert prompt_style.messages_to_prompt(messages) == expected_prompt
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def test_llama2_prompt_style_with_system_prompt():
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prompt_style = Llama2PromptStyle()
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messages = [
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ChatMessage(
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content="FOO BAR Custom sys prompt from messages.", role=MessageRole.SYSTEM
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),
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ChatMessage(content="Hello, how are you doing?", role=MessageRole.USER),
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]
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expected_prompt = (
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"<s> [INST] <<SYS>>\n"
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" FOO BAR Custom sys prompt from messages. \n"
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"<</SYS>>\n"
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"\n"
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" Hello, how are you doing? [/INST]"
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)
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assert prompt_style.messages_to_prompt(messages) == expected_prompt
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