Files
letta-server/tests/test_offline_memory_agent.py
Kevin Lin 91b495e6d1 feat: offline memory agent (#2036)
Co-authored-by: Kevin Lin <kevinlin@Kevins-MacBook-Pro.local>
Co-authored-by: Sarah Wooders <sarahwooders@gmail.com>
2024-12-05 14:27:19 -08:00

128 lines
5.9 KiB
Python

import json
from letta import BasicBlockMemory
from letta import offline_memory_agent
from letta.client.client import Block, create_client
from letta.constants import DEFAULT_HUMAN, DEFAULT_PERSONA
from letta.offline_memory_agent import (
rethink_memory,
finish_rethinking_memory,
rethink_memory_convo,
finish_rethinking_memory_convo,
trigger_rethink_memory,
trigger_rethink_memory_convo,
)
from letta.prompts import gpt_system
from letta.schemas.agent import AgentType
from letta.schemas.embedding_config import EmbeddingConfig
from letta.schemas.llm_config import LLMConfig
from letta.schemas.message import MessageCreate
from letta.schemas.tool_rule import TerminalToolRule
from letta.utils import get_human_text, get_persona_text
def test_ripple_edit():
client = create_client()
assert client is not None
trigger_rethink_memory_tool = client.create_tool(trigger_rethink_memory)
conversation_human_block = Block(name="human", label="human", value=get_human_text(DEFAULT_HUMAN), limit=2000)
conversation_persona_block = Block(name="persona", label="persona", value=get_persona_text(DEFAULT_PERSONA), limit=2000)
offline_human_block = Block(name="human", label="human", value=get_human_text(DEFAULT_HUMAN), limit=2000)
offline_persona_block = Block(name="persona", label="persona", value=get_persona_text("offline_memory_persona"), limit=2000)
# Figure 1. from Evaluating the Ripple Effects of Knowledge Editing in Language Models (Cohen et al., 2023)
# https://arxiv.org/pdf/2307.12976
fact_block = Block(
name="fact_block",
label="fact_block",
value="""Messi resides in the Paris.
Messi plays in the league Ligue 1.
Messi plays for the team Paris Saint-Germain.
The national team Messi plays for is the Argentina team.
Messi is also known as Leo Messi
Victor Ulloa plays for Inter Miami""",
limit=2000,
)
new_memory = Block(name="rethink_memory_block", label="rethink_memory_block", value="[empty]", limit=2000)
conversation_memory = BasicBlockMemory(blocks=[conversation_persona_block, conversation_human_block, fact_block, new_memory])
offline_memory = BasicBlockMemory(blocks=[offline_persona_block, offline_human_block, fact_block, new_memory])
conversation_agent = client.create_agent(
name="conversation_agent",
agent_type=AgentType.memgpt_agent,
system=gpt_system.get_system_text("memgpt_convo_only"),
llm_config=LLMConfig.default_config("gpt-4"),
embedding_config=EmbeddingConfig.default_config("text-embedding-ada-002"),
tools=["send_message", trigger_rethink_memory_tool.name],
memory=conversation_memory,
include_base_tools=False,
)
assert conversation_agent is not None
assert set(conversation_agent.memory.list_block_labels()) == set([
"persona",
"human",
"fact_block",
"rethink_memory_block",
])
rethink_memory_tool = client.create_tool(rethink_memory)
finish_rethinking_memory_tool = client.create_tool(finish_rethinking_memory)
offline_memory_agent = client.create_agent(
name="offline_memory_agent",
agent_type=AgentType.offline_memory_agent,
system=gpt_system.get_system_text("memgpt_offline_memory"),
memory=offline_memory,
llm_config=LLMConfig.default_config("gpt-4"),
embedding_config=EmbeddingConfig.default_config("text-embedding-ada-002"),
tools=[rethink_memory_tool.name, finish_rethinking_memory_tool.name],
tool_rules=[TerminalToolRule(tool_name=finish_rethinking_memory_tool.name)],
include_base_tools=False,
)
assert offline_memory_agent is not None
assert set(offline_memory_agent.memory.list_block_labels())== set(["persona", "human", "fact_block", "rethink_memory_block"])
response = client.user_message(
agent_id=conversation_agent.id, message="[trigger_rethink_memory]: Messi has now moved to playing for Inter Miami"
)
offline_memory_agent = client.get_agent(agent_id=offline_memory_agent.id)
assert offline_memory_agent.memory.get_block("rethink_memory_block").value != "[empty]"
conversation_agent = client.get_agent(agent_id=conversation_agent.id)
assert conversation_agent.memory.get_block("rethink_memory_block").value != "[empty]"
def test_chat_only_agent():
client = create_client()
rethink_memory = client.create_tool(rethink_memory_convo)
finish_rethinking_memory = client.create_tool(finish_rethinking_memory_convo)
conversation_human_block = Block(name="chat_agent_human", label="chat_agent_human", value=get_human_text(DEFAULT_HUMAN), limit=2000)
conversation_persona_block = Block(
name="chat_agent_persona", label="chat_agent_persona", value=get_persona_text(DEFAULT_PERSONA), limit=2000
)
conversation_memory = BasicBlockMemory(blocks=[conversation_persona_block, conversation_human_block])
client = create_client()
chat_only_agent = client.create_agent(
name="conversation_agent",
agent_type=AgentType.chat_only_agent,
llm_config=LLMConfig.default_config("gpt-4"),
embedding_config=EmbeddingConfig.default_config("text-embedding-ada-002"),
tools=["send_message"],
memory=conversation_memory,
include_base_tools=False,
metadata = {"offline_memory_tools": [rethink_memory.name, finish_rethinking_memory.name]}
)
assert chat_only_agent is not None
assert set(chat_only_agent.memory.list_block_labels()) == set(["chat_agent_persona", "chat_agent_human"])
for message in ["hello", "my name is not chad, my name is swoodily"]:
client.send_message(agent_id=chat_only_agent.id, message=message, role="user")
chat_only_agent = client.get_agent(agent_id=chat_only_agent.id)
chat_only_agent = client.get_agent(agent_id=chat_only_agent.id)
assert chat_only_agent.memory.get_block("chat_agent_human").value != get_human_text(DEFAULT_HUMAN)