Zo Computer

pip install honcho-ai python-dotenv

HONCHO_API_KEY=your-api-key
HONCHO_WORKSPACE_ID=default  # optional, defaults to "default"

from tools.save_memory import save_memory
from tools.query_memory import query_memory
from tools.get_context import get_context

# Save conversation turns
save_memory("alice", "I love hiking in the mountains", "user", "session-1")
save_memory("alice", "That sounds wonderful!", "assistant", "session-1")

# Query what Honcho remembers
answer = query_memory("alice", "What are my hobbies?", "session-1")
print(answer)  # "Alice enjoys hiking in the mountains."

# Get context ready for an LLM call
messages = get_context("alice", "session-1", "assistant", tokens=4000)
# Returns [{"role": "user", "content": "..."}, ...]

save_memory(
    user_id="alice",          # unique user identifier
    content="Hello!",         # message text
    role="user",              # "user" or "assistant"
    session_id="session-1",   # conversation identifier
    assistant_id="assistant", # optional, defaults to "assistant"
)

answer = query_memory(
    user_id="alice",
    query="What are my interests?",
    session_id="session-1",  # optional — omit to query global memory
)

messages = get_context(
    user_id="alice",
    session_id="session-1",
    assistant_id="assistant",
    tokens=4000,  # max tokens to include
)
# Use directly: llm.chat.completions.create(messages=messages)