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2e1d3df | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 | from unittest.mock import patch
import pytest
from openai.types.chat.chat_completion import ChatCompletion
from kotaemon.agents import (
AgentType,
BaseTool,
GoogleSearchTool,
LangchainAgent,
LLMTool,
ReactAgent,
RewooAgent,
WikipediaTool,
)
from kotaemon.llms import AzureChatOpenAI
from .conftest import skip_openai_lc_wrapper_test
FINAL_RESPONSE_TEXT = "Final Answer: Hello Cinnamon AI!"
REWOO_VALID_PLAN = (
"#Plan1: Search for Cinnamon AI company on Google\n"
"#E1: google_search[Cinnamon AI company]\n"
"#Plan2: Search for Cinnamon on Wikipedia\n"
"#E2: wikipedia[Cinnamon]\n"
)
REWOO_INVALID_PLAN = (
"#E1: google_search[Cinnamon AI company]\n"
"#Plan2: Search for Cinnamon on Wikipedia\n"
"#E2: wikipedia[Cinnamon]\n"
)
def generate_chat_completion_obj(text):
return ChatCompletion.parse_obj(
{
"id": "chatcmpl-7qyuw6Q1CFCpcKsMdFkmUPUa7JP2x",
"object": "chat.completion",
"created": 1692338378,
"model": "gpt-35-turbo",
"system_fingerprint": None,
"choices": [
{
"index": 0,
"finish_reason": "stop",
"message": {
"role": "assistant",
"content": text,
"function_call": None,
"tool_calls": None,
},
"logprobs": None,
}
],
"usage": {"completion_tokens": 9, "prompt_tokens": 10, "total_tokens": 19},
}
)
_openai_chat_completion_responses_rewoo = [
generate_chat_completion_obj(text=text)
for text in [REWOO_VALID_PLAN, FINAL_RESPONSE_TEXT]
]
_openai_chat_completion_responses_rewoo_error = [
generate_chat_completion_obj(text=text)
for text in [REWOO_INVALID_PLAN, FINAL_RESPONSE_TEXT]
]
_openai_chat_completion_responses_react = [
generate_chat_completion_obj(text=text)
for text in [
(
"I don't have prior knowledge about Cinnamon AI company, "
"so I should gather information about it.\n"
"Action: wikipedia\n"
"Action Input: Cinnamon AI company\n"
),
(
"The information retrieved from Wikipedia is not "
"about Cinnamon AI company, but about Blue Prism, "
"a British multinational software corporation. "
"I need to try another source to gather information "
"about Cinnamon AI company.\n"
"Action: google_search\n"
"Action Input: Cinnamon AI company\n"
),
FINAL_RESPONSE_TEXT,
]
]
_openai_chat_completion_responses_react_langchain_tool = [
generate_chat_completion_obj(text=text)
for text in [
(
"I don't have prior knowledge about Cinnamon AI company, "
"so I should gather information about it.\n"
"Action: wikipedia\n"
"Action Input: Cinnamon AI company\n"
),
# (
# "The information retrieved from Wikipedia is not "
# "about Cinnamon AI company, but about Blue Prism, "
# "a British multinational software corporation. "
# "I need to try another source to gather information "
# "about Cinnamon AI company.\n"
# "Action: duckduckgo_search\n"
# "Action Input: Cinnamon AI company\n"
# ),
FINAL_RESPONSE_TEXT,
]
]
@pytest.fixture
def llm():
return AzureChatOpenAI(
api_key="dummy",
api_version="2024-05-01-preview",
azure_deployment="gpt-4o",
azure_endpoint="https://test.openai.azure.com/",
)
@patch(
"openai.resources.chat.completions.Completions.create",
side_effect=_openai_chat_completion_responses_rewoo_error,
)
def test_agent_fail(openai_completion, llm, mock_google_search):
plugins = [
GoogleSearchTool(),
WikipediaTool(),
LLMTool(llm=llm),
]
agent = RewooAgent(planner_llm=llm, solver_llm=llm, plugins=plugins)
response = agent("Tell me about Cinnamon AI company")
openai_completion.assert_called()
assert not response
assert response.status == "failed"
@patch(
"openai.resources.chat.completions.Completions.create",
side_effect=_openai_chat_completion_responses_rewoo,
)
def test_rewoo_agent(openai_completion, llm, mock_google_search):
plugins = [
GoogleSearchTool(),
WikipediaTool(),
LLMTool(llm=llm),
]
agent = RewooAgent(planner_llm=llm, solver_llm=llm, plugins=plugins)
response = agent("Tell me about Cinnamon AI company")
openai_completion.assert_called()
assert response.text == FINAL_RESPONSE_TEXT
@patch(
"openai.resources.chat.completions.Completions.create",
side_effect=_openai_chat_completion_responses_react,
)
def test_react_agent(openai_completion, llm, mock_google_search):
plugins = [
GoogleSearchTool(),
WikipediaTool(),
LLMTool(llm=llm),
]
agent = ReactAgent(llm=llm, plugins=plugins, max_iterations=4)
response = agent("Tell me about Cinnamon AI company")
openai_completion.assert_called()
assert response.text == FINAL_RESPONSE_TEXT
@skip_openai_lc_wrapper_test
@patch(
"openai.resources.chat.completions.Completions.create",
side_effect=_openai_chat_completion_responses_react,
)
def test_react_agent_langchain(openai_completion, llm, mock_google_search):
from langchain.agents import AgentType, initialize_agent
plugins = [
GoogleSearchTool(),
WikipediaTool(),
LLMTool(llm=llm),
]
langchain_plugins = [tool.to_langchain_format() for tool in plugins]
agent = initialize_agent(
langchain_plugins,
llm.to_langchain_format(),
agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION,
verbose=True,
)
response = agent("Tell me about Cinnamon AI company")
openai_completion.assert_called()
assert response
@skip_openai_lc_wrapper_test
@patch(
"openai.resources.chat.completions.Completions.create",
side_effect=_openai_chat_completion_responses_react,
)
def test_wrapper_agent_langchain(openai_completion, llm, mock_google_search):
plugins = [
GoogleSearchTool(),
WikipediaTool(),
LLMTool(llm=llm),
]
agent = LangchainAgent(
llm=llm,
plugins=plugins,
agent_type=AgentType.react,
)
response = agent("Tell me about Cinnamon AI company")
openai_completion.assert_called()
assert response
@patch(
"openai.resources.chat.completions.Completions.create",
side_effect=_openai_chat_completion_responses_react_langchain_tool,
)
def test_react_agent_with_langchain_tools(openai_completion, llm):
from langchain_community.tools import DuckDuckGoSearchRun, WikipediaQueryRun
from langchain_community.utilities import WikipediaAPIWrapper
wikipedia = WikipediaQueryRun(api_wrapper=WikipediaAPIWrapper())
search = DuckDuckGoSearchRun()
langchain_plugins = [wikipedia, search]
plugins = [BaseTool.from_langchain_format(tool) for tool in langchain_plugins]
agent = ReactAgent(llm=llm, plugins=plugins, max_iterations=4)
response = agent("Tell me about Cinnamon AI company")
openai_completion.assert_called()
assert response.text == FINAL_RESPONSE_TEXT
|