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c4f8b1c761
* api_base -> base_url (#383) * InvalidRequestError -> BadRequestError (#389) * remove api_key_path; close #388 * close #402 (#403) * openai client (#419) * openai client * client test * _client -> client * _client -> client * extra kwargs * Completion -> client (#426) * Completion -> client * Completion -> client * Completion -> client * Completion -> client * support aoai * fix test error * remove commented code * support aoai * annotations * import * reduce test * skip test * skip test * skip test * debug test * rename test * update workflow * update workflow * env * py version * doc improvement * docstr update * openai<1 * add tiktoken to dependency * filter_func * async test * dependency * migration guide (#477) * migration guide * change in kwargs * simplify header * update optigude description * deal with azure gpt-3.5 * add back test_eval_math_responses * timeout * Add back tests for RetrieveChat (#480) * Add back tests for RetrieveChat * Fix format * Update dependencies order * Fix path * Fix path * Fix path * Fix tests * Add not run openai on MacOS or Win * Update skip openai tests * Remove unnecessary dependencies, improve format * Add py3.8 for testing qdrant * Fix multiline error of windows * Add openai tests * Add dependency mathchat, remove unused envs * retrieve chat is tested * bump version to 0.2.0b1 --------- Co-authored-by: Li Jiang <bnujli@gmail.com>
73 lines
2.1 KiB
Python
73 lines
2.1 KiB
Python
import pytest
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import os
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import sys
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import autogen
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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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try:
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import openai
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from autogen.agentchat.contrib.retrieve_assistant_agent import (
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RetrieveAssistantAgent,
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)
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from autogen.agentchat.contrib.retrieve_user_proxy_agent import (
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RetrieveUserProxyAgent,
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)
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import chromadb
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from chromadb.utils import embedding_functions as ef
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skip_test = False
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except ImportError:
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skip_test = True
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@pytest.mark.skipif(
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sys.platform in ["darwin", "win32"] or skip_test,
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reason="do not run on MacOS or windows or dependency is not installed",
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)
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def test_retrievechat():
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conversations = {}
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# autogen.ChatCompletion.start_logging(conversations) # deprecated in v0.2
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config_list = autogen.config_list_from_json(
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OAI_CONFIG_LIST,
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file_location=KEY_LOC,
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)
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assistant = RetrieveAssistantAgent(
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name="assistant",
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system_message="You are a helpful assistant.",
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llm_config={
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"timeout": 600,
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"seed": 42,
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"config_list": config_list,
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},
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)
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sentence_transformer_ef = ef.SentenceTransformerEmbeddingFunction()
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ragproxyagent = RetrieveUserProxyAgent(
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name="ragproxyagent",
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human_input_mode="NEVER",
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max_consecutive_auto_reply=2,
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retrieve_config={
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"docs_path": "./website/docs",
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"chunk_token_size": 2000,
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"model": config_list[0]["model"],
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"client": chromadb.PersistentClient(path="/tmp/chromadb"),
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"embedding_function": sentence_transformer_ef,
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"get_or_create": True,
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},
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)
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assistant.reset()
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code_problem = "How can I use FLAML to perform a classification task, set use_spark=True, train 30 seconds and force cancel jobs if time limit is reached."
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ragproxyagent.initiate_chat(assistant, problem=code_problem, search_string="spark", silent=True)
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print(conversations)
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if __name__ == "__main__":
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test_retrievechat()
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