chore: Various updates and improvements (#1247)

Co-authored-by: Charles Packer <packercharles@gmail.com>
Co-authored-by: cthomas <caren@letta.com>
Co-authored-by: Shubham Naik <shubham.naik10@gmail.com>
Co-authored-by: Shubham Naik <shub@memgpt.ai>
Co-authored-by: mlong93 <35275280+mlong93@users.noreply.github.com>
Co-authored-by: Mindy Long <mindy@letta.com>
Co-authored-by: Kevin Lin <klin5061@gmail.com>
Co-authored-by: Stephan Fitzpatrick <stephan@knowsuchagency.com>
Co-authored-by: dboyliao <qmalliao@gmail.com>
Co-authored-by: Sarah Wooders <sarahwooders@gmail.com>
Co-authored-by: Jyotirmaya Mahanta <jyotirmaya.mahanta@gmail.com>
Co-authored-by: Nicholas <102550462+ndisalvio3@users.noreply.github.com>
Co-authored-by: tarunkumark <tkksctwo@gmail.com>
Co-authored-by: Miao <one.lemorage@gmail.com>
Co-authored-by: Krishnakumar R (KK) <65895020+kk-src@users.noreply.github.com>
Co-authored-by: Shubham Naik <shub@letta.com>
Co-authored-by: Will Sargent <will.sargent@gmail.com>
This commit is contained in:
Matthew Zhou
2025-03-11 14:46:45 -07:00
committed by GitHub
parent 67a8c975a7
commit dd1f4d5cbe
4 changed files with 224 additions and 9 deletions

View File

@@ -20,7 +20,7 @@ from letta.data_sources.connectors import DirectoryConnector
app = typer.Typer()
default_extensions = ".txt,.md,.pdf"
default_extensions = "txt,md,pdf"
@app.command("directory")

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@@ -73,7 +73,7 @@ def get_filenames_in_dir(
ext = file_path.suffix.lstrip(".")
# If required_exts is empty, match any file
if not required_exts or ext in required_exts:
files.append(file_path)
files.append(str(file_path))
return files

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@@ -918,13 +918,15 @@ class StreamingServerInterface(AgentChunkStreamingInterface):
# skip if there's a finish
return None
else:
# Example case that would trigger here:
# id='chatcmpl-AKtUvREgRRvgTW6n8ZafiKuV0mxhQ'
# choices=[ChunkChoice(finish_reason=None, index=0, delta=MessageDelta(content=None, tool_calls=None, function_call=None), logprobs=None)]
# created=datetime.datetime(2024, 10, 21, 20, 40, 57, tzinfo=TzInfo(UTC))
# model='gpt-4o-mini-2024-07-18'
# object='chat.completion.chunk'
warnings.warn(f"Couldn't find delta in chunk: {chunk}")
# Only warn for non-Claude models since Claude commonly has empty first chunks
if not chunk.model.startswith("claude-"):
# Example case that would trigger here:
# id='chatcmpl-AKtUvREgRRvgTW6n8ZafiKuV0mxhQ'
# choices=[ChunkChoice(finish_reason=None, index=0, delta=MessageDelta(content=None, tool_calls=None, function_call=None), logprobs=None)]
# created=datetime.datetime(2024, 10, 21, 20, 40, 57, tzinfo=TzInfo(UTC))
# model='gpt-4o-mini-2024-07-18'
# object='chat.completion.chunk'
warnings.warn(f"Couldn't find delta in chunk: {chunk}")
return None
return processed_chunk

View File

@@ -98,3 +98,216 @@ def test_recall(client, agent_obj):
# Conversation search
result = base_functions.conversation_search(agent_obj, "banana")
assert keyword in result
# This test is nondeterministic, so we retry until we get the perfect behavior from the LLM
@retry_until_success(max_attempts=2, sleep_time_seconds=2)
def test_send_message_to_agent(client, agent_obj, other_agent_obj):
secret_word = "banana"
# Encourage the agent to send a message to the other agent_obj with the secret string
client.send_message(
agent_id=agent_obj.agent_state.id,
role="user",
message=f"Use your tool to send a message to another agent with id {other_agent_obj.agent_state.id} to share the secret word: {secret_word}!",
)
# Conversation search the other agent
messages = client.get_messages(other_agent_obj.agent_state.id)
# Check for the presence of system message
for m in reversed(messages):
print(f"\n\n {other_agent_obj.agent_state.id} -> {m.model_dump_json(indent=4)}")
if isinstance(m, SystemMessage):
assert secret_word in m.content
break
# Search the sender agent for the response from another agent
in_context_messages = agent_obj.agent_manager.get_in_context_messages(agent_id=agent_obj.agent_state.id, actor=agent_obj.user)
found = False
target_snippet = f"{other_agent_obj.agent_state.id} said:"
for m in in_context_messages:
if target_snippet in m.text:
found = True
break
# Compute the joined string first
joined_messages = "\n".join([m.text for m in in_context_messages[1:]])
print(f"In context messages of the sender agent (without system):\n\n{joined_messages}")
if not found:
raise Exception(f"Was not able to find an instance of the target snippet: {target_snippet}")
# Test that the agent can still receive messages fine
response = client.send_message(agent_id=agent_obj.agent_state.id, role="user", message="So what did the other agent say?")
print(response.messages)
@retry_until_success(max_attempts=2, sleep_time_seconds=2)
def test_send_message_to_agents_with_tags_simple(client):
worker_tags = ["worker", "user-456"]
# Clean up first from possibly failed tests
prev_worker_agents = client.server.agent_manager.list_agents(client.user, tags=worker_tags, match_all_tags=True)
for agent in prev_worker_agents:
client.delete_agent(agent.id)
secret_word = "banana"
# Create "manager" agent
send_message_to_agents_matching_all_tags_tool_id = client.get_tool_id(name="send_message_to_agents_matching_all_tags")
manager_agent_state = client.create_agent(tool_ids=[send_message_to_agents_matching_all_tags_tool_id])
manager_agent = client.server.load_agent(agent_id=manager_agent_state.id, actor=client.user)
# Create 3 non-matching worker agents (These should NOT get the message)
worker_agents = []
worker_tags = ["worker", "user-123"]
for _ in range(3):
worker_agent_state = client.create_agent(include_multi_agent_tools=False, tags=worker_tags)
worker_agent = client.server.load_agent(agent_id=worker_agent_state.id, actor=client.user)
worker_agents.append(worker_agent)
# Create 3 worker agents that should get the message
worker_agents = []
worker_tags = ["worker", "user-456"]
for _ in range(3):
worker_agent_state = client.create_agent(include_multi_agent_tools=False, tags=worker_tags)
worker_agent = client.server.load_agent(agent_id=worker_agent_state.id, actor=client.user)
worker_agents.append(worker_agent)
# Encourage the manager to send a message to the other agent_obj with the secret string
response = client.send_message(
agent_id=manager_agent.agent_state.id,
role="user",
message=f"Send a message to all agents with tags {worker_tags} informing them of the secret word: {secret_word}!",
)
for m in response.messages:
if isinstance(m, ToolReturnMessage):
tool_response = eval(json.loads(m.tool_return)["message"])
print(f"\n\nManager agent tool response: \n{tool_response}\n\n")
assert len(tool_response) == len(worker_agents)
# We can break after this, the ToolReturnMessage after is not related
break
# Conversation search the worker agents
for agent in worker_agents:
messages = client.get_messages(agent.agent_state.id)
# Check for the presence of system message
for m in reversed(messages):
print(f"\n\n {agent.agent_state.id} -> {m.model_dump_json(indent=4)}")
if isinstance(m, SystemMessage):
assert secret_word in m.content
break
# Test that the agent can still receive messages fine
response = client.send_message(agent_id=manager_agent.agent_state.id, role="user", message="So what did the other agents say?")
print("Manager agent followup message: \n\n" + "\n".join([str(m) for m in response.messages]))
# Clean up agents
client.delete_agent(manager_agent_state.id)
for agent in worker_agents:
client.delete_agent(agent.agent_state.id)
# This test is nondeterministic, so we retry until we get the perfect behavior from the LLM
@retry_until_success(max_attempts=2, sleep_time_seconds=2)
def test_send_message_to_agents_with_tags_complex_tool_use(client, roll_dice_tool):
worker_tags = ["dice-rollers"]
# Clean up first from possibly failed tests
prev_worker_agents = client.server.agent_manager.list_agents(client.user, tags=worker_tags, match_all_tags=True)
for agent in prev_worker_agents:
client.delete_agent(agent.id)
# Create "manager" agent
send_message_to_agents_matching_all_tags_tool_id = client.get_tool_id(name="send_message_to_agents_matching_all_tags")
manager_agent_state = client.create_agent(tool_ids=[send_message_to_agents_matching_all_tags_tool_id])
manager_agent = client.server.load_agent(agent_id=manager_agent_state.id, actor=client.user)
# Create 3 worker agents
worker_agents = []
worker_tags = ["dice-rollers"]
for _ in range(2):
worker_agent_state = client.create_agent(include_multi_agent_tools=False, tags=worker_tags, tool_ids=[roll_dice_tool.id])
worker_agent = client.server.load_agent(agent_id=worker_agent_state.id, actor=client.user)
worker_agents.append(worker_agent)
# Encourage the manager to send a message to the other agent_obj with the secret string
broadcast_message = f"Send a message to all agents with tags {worker_tags} asking them to roll a dice for you!"
response = client.send_message(
agent_id=manager_agent.agent_state.id,
role="user",
message=broadcast_message,
)
for m in response.messages:
if isinstance(m, ToolReturnMessage):
tool_response = eval(json.loads(m.tool_return)["message"])
print(f"\n\nManager agent tool response: \n{tool_response}\n\n")
assert len(tool_response) == len(worker_agents)
# We can break after this, the ToolReturnMessage after is not related
break
# Test that the agent can still receive messages fine
response = client.send_message(agent_id=manager_agent.agent_state.id, role="user", message="So what did the other agents say?")
print("Manager agent followup message: \n\n" + "\n".join([str(m) for m in response.messages]))
# Clean up agents
client.delete_agent(manager_agent_state.id)
for agent in worker_agents:
client.delete_agent(agent.agent_state.id)
@retry_until_success(max_attempts=5, sleep_time_seconds=2)
def test_agents_async_simple(client):
"""
Test two agents with multi-agent tools sending messages back and forth to count to 5.
The chain is started by prompting one of the agents.
"""
# Cleanup from potentially failed previous runs
existing_agents = client.server.agent_manager.list_agents(client.user)
for agent in existing_agents:
client.delete_agent(agent.id)
# Create two agents with multi-agent tools
send_message_to_agent_async_tool_id = client.get_tool_id(name="send_message_to_agent_async")
memory_a = ChatMemory(
human="Chad - I'm interested in hearing poem.",
persona="You are an AI agent that can communicate with your agent buddy using `send_message_to_agent_async`, who has some great poem ideas (so I've heard).",
)
charles_state = client.create_agent(name="charles", memory=memory_a, tool_ids=[send_message_to_agent_async_tool_id])
charles = client.server.load_agent(agent_id=charles_state.id, actor=client.user)
memory_b = ChatMemory(
human="No human - you are to only communicate with the other AI agent.",
persona="You are an AI agent that can communicate with your agent buddy using `send_message_to_agent_async`, who is interested in great poem ideas.",
)
sarah_state = client.create_agent(name="sarah", memory=memory_b, tool_ids=[send_message_to_agent_async_tool_id])
# Start the count chain with Agent1
initial_prompt = f"I want you to talk to the other agent with ID {sarah_state.id} using `send_message_to_agent_async`. Specifically, I want you to ask him for a poem idea, and then craft a poem for me."
client.send_message(
agent_id=charles.agent_state.id,
role="user",
message=initial_prompt,
)
found_in_charles = wait_for_incoming_message(
client=client,
agent_id=charles_state.id,
substring="[Incoming message from agent with ID",
max_wait_seconds=10,
sleep_interval=0.5,
)
assert found_in_charles, "Charles never received the system message from Sarah (timed out)."
found_in_sarah = wait_for_incoming_message(
client=client,
agent_id=sarah_state.id,
substring="[Incoming message from agent with ID",
max_wait_seconds=10,
sleep_interval=0.5,
)
assert found_in_sarah, "Sarah never received the system message from Charles (timed out)."