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https://github.com/hwchase17/langchain.git
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12c3454fd9
This PR is under WIP and adds the following functionalities: - [X] Supports tool calling across the langchain ecosystem. (However streaming is not supported) - [X] Update documentation
71 lines
2.5 KiB
Python
71 lines
2.5 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 langchain_core.pydantic_v1 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 cast(SecretStr, model.premai_api_key).get_secret_value() == "xyz"
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