Method new

python/src/memory/client.rs:29–44

(py: Python<'_>, config: MemoryConfig)

    /// vector index, and prepares the LLM and embedding providers.
    #[new]
    fn new(py: Python<'_>, config: MemoryConfig) -> PyResult<Self> {
        let cfg = config.inner;
        let rt = get_runtime();

        let service = py.allow_threads(|| {
            rt.block_on(async move {
                graphbit_core::memory::MemoryService::new(cfg)
                    .await
                    .map_err(to_py_runtime_error)
            })
        })?;

        Ok(Self {
            service: Arc::new(service),
        })
    }

    /// Extract and store facts from conversation messages.
    ///