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c2a3021bb0
Signed-off-by: ChengZi <chen.zhang@zilliz.com> Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Dan O'Donovan <dan.odonovan@gmail.com> Co-authored-by: Tom Daniel Grande <tomdgrande@gmail.com> Co-authored-by: Grande <Tom.Daniel.Grande@statsbygg.no> Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: ccurme <chester.curme@gmail.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com> Co-authored-by: Tomaz Bratanic <bratanic.tomaz@gmail.com> Co-authored-by: ZhangShenao <15201440436@163.com> Co-authored-by: Friso H. Kingma <fhkingma@gmail.com> Co-authored-by: ChengZi <chen.zhang@zilliz.com> Co-authored-by: Nuno Campos <nuno@langchain.dev> Co-authored-by: Morgante Pell <morgantep@google.com>
74 lines
2.6 KiB
Python
74 lines
2.6 KiB
Python
"""Test PremChat model"""
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from typing import cast
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import pytest
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from langchain_core.messages import AIMessage, HumanMessage, SystemMessage, ToolMessage
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from pydantic import SecretStr
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from pytest import CaptureFixture
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from langchain_community.chat_models import ChatPremAI
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from langchain_community.chat_models.premai import (
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SINGLE_TOOL_PROMPT_TEMPLATE,
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TOOL_PROMPT_HEADER,
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_messages_to_prompt_dict,
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)
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@pytest.mark.requires("premai")
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def test_api_key_is_string() -> None:
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llm = ChatPremAI(premai_api_key="secret-api-key", project_id=8) # type: ignore[call-arg]
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assert isinstance(llm.premai_api_key, SecretStr)
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@pytest.mark.requires("premai")
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def test_api_key_masked_when_passed_via_constructor(
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capsys: CaptureFixture,
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) -> None:
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llm = ChatPremAI(premai_api_key="secret-api-key", project_id=8) # type: ignore[call-arg]
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print(llm.premai_api_key, end="") # noqa: T201
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captured = capsys.readouterr()
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assert captured.out == "**********"
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def test_messages_to_prompt_dict_with_valid_messages() -> None:
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system_message, result = _messages_to_prompt_dict(
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[
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SystemMessage(content="System Prompt"),
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HumanMessage(content="User message #1"),
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AIMessage(content="AI message #1"),
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HumanMessage(content="User message #2"),
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AIMessage(content="AI message #2"),
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ToolMessage(content="Tool Message #1", tool_call_id="test_tool"),
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AIMessage(content="AI message #3"),
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]
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)
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expected_tool_message = SINGLE_TOOL_PROMPT_TEMPLATE.format(
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tool_id="test_tool", tool_response="Tool Message #1"
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)
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expected = [
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{"role": "user", "content": "User message #1"},
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{"role": "assistant", "content": "AI message #1"},
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{"role": "user", "content": "User message #2"},
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{"role": "assistant", "content": "AI message #2"},
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{"role": "assistant", "content": "AI message #3"},
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{"role": "user", "content": TOOL_PROMPT_HEADER + expected_tool_message},
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]
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assert system_message == "System Prompt"
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assert result == expected
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@pytest.mark.requires("premai")
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def test_premai_initialization() -> None:
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for model in [
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ChatPremAI(model="prem-ai-model", premai_api_key="xyz", project_id=8), # type: ignore[call-arg]
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ChatPremAI(model_name="prem-ai-model", api_key="xyz", project_id=8), # type: ignore[arg-type, call-arg]
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]:
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assert model.model == "prem-ai-model"
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assert model.temperature is None
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assert model.max_tokens is None
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assert model.max_retries == 1
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assert cast(SecretStr, model.premai_api_key).get_secret_value() == "xyz"
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