2024-01-21 19:43:15 -08:00
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import os
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import sys
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import re
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import pytest
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2024-02-10 06:09:08 +01:00
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from autogen import UserProxyAgent, config_list_from_json
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2024-01-21 19:43:15 -08:00
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from autogen.oai.openai_utils import filter_config
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2024-02-10 06:09:08 +01:00
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from autogen.cache import Cache
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2024-01-21 19:43:15 -08:00
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sys.path.append(os.path.join(os.path.dirname(__file__), "../.."))
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2024-02-14 10:51:38 -08:00
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from conftest import MOCK_OPEN_AI_API_KEY, skip_openai # noqa: E402
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sys.path.append(os.path.join(os.path.dirname(__file__), ".."))
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from test_assistant_agent import KEY_LOC, OAI_CONFIG_LIST # noqa: E402
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BLOG_POST_URL = "https://microsoft.github.io/autogen/blog/2023/04/21/LLM-tuning-math"
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BLOG_POST_TITLE = "Does Model and Inference Parameter Matter in LLM Applications? - A Case Study for MATH | AutoGen"
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BING_QUERY = "Microsoft"
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try:
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from autogen.agentchat.contrib.web_surfer import WebSurferAgent
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except ImportError:
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skip_all = True
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else:
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skip_all = False
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try:
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from openai import OpenAI
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except ImportError:
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skip_oai = True
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else:
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skip_oai = False or skip_openai
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try:
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BING_API_KEY = os.environ["BING_API_KEY"]
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except KeyError:
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skip_bing = True
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else:
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skip_bing = False
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if not skip_oai:
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config_list = config_list_from_json(env_or_file=OAI_CONFIG_LIST, file_location=KEY_LOC)
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@pytest.mark.skipif(
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skip_all,
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reason="do not run if dependency is not installed",
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)
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2024-02-10 06:09:08 +01:00
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def test_web_surfer() -> None:
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with pytest.MonkeyPatch.context() as mp:
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# we mock the API key so we can register functions (llm_config must be present for this to work)
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mp.setenv("OPENAI_API_KEY", MOCK_OPEN_AI_API_KEY)
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page_size = 4096
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web_surfer = WebSurferAgent(
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"web_surfer", llm_config={"config_list": []}, browser_config={"viewport_size": page_size}
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)
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# Sneak a peak at the function map, allowing us to call the functions for testing here
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function_map = web_surfer._user_proxy._function_map
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# Test some basic navigations
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response = function_map["visit_page"](BLOG_POST_URL)
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assert f"Address: {BLOG_POST_URL}".strip() in response
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assert f"Title: {BLOG_POST_TITLE}".strip() in response
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# Test scrolling
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m = re.search(r"\bViewport position: Showing page 1 of (\d+).", response)
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total_pages = int(m.group(1)) # type: ignore[union-attr]
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response = function_map["page_down"]()
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assert (
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f"Viewport position: Showing page 2 of {total_pages}." in response
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) # Assumes the content is longer than one screen
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response = function_map["page_up"]()
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assert f"Viewport position: Showing page 1 of {total_pages}." in response
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# Try to scroll too far back up
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response = function_map["page_up"]()
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assert f"Viewport position: Showing page 1 of {total_pages}." in response
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# Try to scroll too far down
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for i in range(0, total_pages + 1):
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response = function_map["page_down"]()
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assert f"Viewport position: Showing page {total_pages} of {total_pages}." in response
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# Test web search -- we don't have a key in this case, so we expect it to raise an error (but it means the code path is correct)
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with pytest.raises(ValueError, match="Missing Bing API key."):
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response = function_map["informational_web_search"](BING_QUERY)
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with pytest.raises(ValueError, match="Missing Bing API key."):
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response = function_map["navigational_web_search"](BING_QUERY)
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# Test Q&A and summarization -- we don't have a key so we expect it to fail (but it means the code path is correct)
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with pytest.raises(IndexError):
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response = function_map["answer_from_page"]("When was it founded?")
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with pytest.raises(IndexError):
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response = function_map["summarize_page"]()
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@pytest.mark.skipif(
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skip_oai,
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reason="do not run if oai is not installed",
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)
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def test_web_surfer_oai() -> None:
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llm_config = {"config_list": config_list, "timeout": 180, "cache_seed": 42}
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# adding Azure name variations to the model list
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model = ["gpt-3.5-turbo-1106", "gpt-3.5-turbo-16k-0613", "gpt-3.5-turbo-16k"]
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model += [m.replace(".", "") for m in model]
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summarizer_llm_config = {
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"config_list": filter_config(config_list, dict(model=model)), # type: ignore[no-untyped-call]
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"timeout": 180,
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}
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assert len(llm_config["config_list"]) > 0 # type: ignore[arg-type]
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assert len(summarizer_llm_config["config_list"]) > 0
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page_size = 4096
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web_surfer = WebSurferAgent(
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"web_surfer",
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llm_config=llm_config,
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summarizer_llm_config=summarizer_llm_config,
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browser_config={"viewport_size": page_size},
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)
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user_proxy = UserProxyAgent(
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"user_proxy",
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human_input_mode="NEVER",
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code_execution_config=False,
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default_auto_reply="",
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is_termination_msg=lambda x: True,
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)
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with Cache.disk():
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# Make some requests that should test function calling
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user_proxy.initiate_chat(web_surfer, message="Please visit the page 'https://en.wikipedia.org/wiki/Microsoft'")
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user_proxy.initiate_chat(web_surfer, message="Please scroll down.")
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user_proxy.initiate_chat(web_surfer, message="Please scroll up.")
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user_proxy.initiate_chat(web_surfer, message="When was it founded?")
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user_proxy.initiate_chat(web_surfer, message="What's this page about?")
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@pytest.mark.skipif(
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skip_bing,
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reason="do not run if bing api key is not available",
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)
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def test_web_surfer_bing() -> None:
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page_size = 4096
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web_surfer = WebSurferAgent(
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"web_surfer",
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llm_config={
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"config_list": [
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{
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"model": "gpt-3.5-turbo-16k",
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"api_key": "sk-PLACEHOLDER_KEY",
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}
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]
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},
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browser_config={"viewport_size": page_size, "bing_api_key": BING_API_KEY},
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)
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# Sneak a peak at the function map, allowing us to call the functions for testing here
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function_map = web_surfer._user_proxy._function_map
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# Test informational queries
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response = function_map["informational_web_search"](BING_QUERY)
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assert f"Address: bing: {BING_QUERY}" in response
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assert f"Title: {BING_QUERY} - Search" in response
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assert "Viewport position: Showing page 1 of 1." in response
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assert f"A Bing search for '{BING_QUERY}' found " in response
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# Test informational queries
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response = function_map["navigational_web_search"](BING_QUERY + " Wikipedia")
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assert "Address: https://en.wikipedia.org/wiki/" in response
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if __name__ == "__main__":
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"""Runs this file's tests from the command line."""
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test_web_surfer()
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test_web_surfer_oai()
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test_web_surfer_bing()
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