mirror of
https://github.com/cpacker/MemGPT.git
synced 2025-06-03 04:30:22 +00:00
41 lines
1.2 KiB
Python
41 lines
1.2 KiB
Python
from letta import EmbeddingConfig, LLMConfig, create_client
|
|
|
|
client = create_client()
|
|
|
|
# set automatic defaults for LLM/embedding config
|
|
client.set_default_llm_config(
|
|
LLMConfig(model="gpt-4o-mini", model_endpoint_type="openai", model_endpoint="https://api.openai.com/v1", context_window=128000)
|
|
)
|
|
client.set_default_embedding_config(
|
|
EmbeddingConfig(
|
|
embedding_endpoint_type="openai",
|
|
embedding_endpoint="https://api.openai.com/v1",
|
|
embedding_model="text-embedding-ada-002",
|
|
embedding_dim=1536,
|
|
embedding_chunk_size=300,
|
|
)
|
|
)
|
|
|
|
|
|
# create a new agent
|
|
agent_state = client.create_agent()
|
|
print(f"Created agent with name {agent_state.name} and unique ID {agent_state.id}")
|
|
|
|
# Message an agent
|
|
response = client.send_message(agent_id=agent_state.id, role="user", message="hello")
|
|
print("Usage", response.usage)
|
|
print("Agent messages", response.messages)
|
|
|
|
# list all agents
|
|
agents = client.list_agents()
|
|
|
|
# get the agent by ID
|
|
agent_state = client.get_agent(agent_id=agent_state.id)
|
|
|
|
# get the agent by name
|
|
agent_id = client.get_agent_id(agent_name=agent_state.name)
|
|
agent_state = client.get_agent(agent_id=agent_id)
|
|
|
|
# delete an agent
|
|
client.delete_agent(agent_id=agent_state.id)
|