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f2dfa79432
Co-authored-by: cpacker <packercharles@gmail.com> Co-authored-by: matthew zhou <matthewzhou@matthews-MacBook-Pro.local> Co-authored-by: Zack Field <field.zackery@gmail.com>
75 lines
2.5 KiB
Python
75 lines
2.5 KiB
Python
import os
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import uuid
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from memgpt import create_client
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from .utils import create_config, wipe_config
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# test_agent_id = "test_agent"
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test_agent_name = f"test_client_{str(uuid.uuid4())}"
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client = None
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agent_obj = None
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# TODO: these tests should include looping through LLM providers, since behavior may vary across providers
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# TODO: these tests should add function calls into the summarized message sequence:W
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def create_test_agent():
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"""Create a test agent that we can call functions on"""
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wipe_config()
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if os.getenv("OPENAI_API_KEY"):
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create_config("openai")
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else:
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create_config("memgpt_hosted")
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global client
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client = create_client()
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agent_state = client.create_agent(
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name=test_agent_name,
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)
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global agent_obj
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agent_obj = client.server._get_or_load_agent(agent_id=agent_state.id)
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def test_summarize():
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"""Test summarization via sending the summarize CLI command or via a direct call to the agent object"""
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global client
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global agent_obj
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if agent_obj is None:
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create_test_agent()
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assert agent_obj is not None, "Run create_agent test first"
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assert client is not None, "Run create_agent test first"
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# First send a few messages (5)
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response = client.user_message(
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agent_id=agent_obj.agent_state.id,
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message="Hey, how's it going? What do you think about this whole shindig",
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).messages
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assert response is not None and len(response) > 0
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print(f"test_summarize: response={response}")
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response = client.user_message(
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agent_id=agent_obj.agent_state.id,
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message="Any thoughts on the meaning of life?",
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).messages
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assert response is not None and len(response) > 0
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print(f"test_summarize: response={response}")
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response = client.user_message(agent_id=agent_obj.agent_state.id, message="Does the number 42 ring a bell?").messages
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assert response is not None and len(response) > 0
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print(f"test_summarize: response={response}")
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response = client.user_message(
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agent_id=agent_obj.agent_state.id,
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message="Would you be surprised to learn that you're actually conversing with an AI right now?",
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).messages
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assert response is not None and len(response) > 0
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print(f"test_summarize: response={response}")
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agent_obj.summarize_messages_inplace()
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print(f"Summarization succeeded: messages[1] = \n{agent_obj.messages[1]}")
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# response = client.run_command(agent_id=agent_obj.agent_state.id, command="summarize")
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