š¢ Announcing our research paper: Zentry achieves 26% higher accuracy than OpenAI Memory, 91% lower latency, and 90% token savings! Read the paper to learn how we're revolutionizing AI agent memory.
To use Google AI model, you have to set the GOOGLE_API_KEY environment variable. You can obtain the Google API key from the Google Maker Suite
import osfrom Zentry import Memoryos.environ["OPENAI_API_KEY"] = "your-api-key" # used for embedding modelos.environ["GEMINI_API_KEY"] = "your-api-key"config = { "llm": { "provider": "litellm", "config": { "model": "gemini/gemini-pro", "temperature": 0.2, "max_tokens": 2000, } }}m = Memory.from_config(config)messages = [ {"role": "user", "content": "I'm planning to watch a movie tonight. Any recommendations?"}, {"role": "assistant", "content": "How about a thriller movies? They can be quite engaging."}, {"role": "user", "content": "Iām not a big fan of thriller movies but I love sci-fi movies."}, {"role": "assistant", "content": "Got it! I'll avoid thriller recommendations and suggest sci-fi movies in the future."}]m.add(messages, user_id="alice", metadata={"category": "movies"})