Kura v0.5.0 Released
We're excited to announce the release of Kura v0.5.0! This release brings significant improvements to documentation, introduces a new procedural API for maximum flexibility, and includes numerous enhancements to make Kura even better for analyzing conversation data.
What's New in v0.5.0
New Procedural API (v1)
The headline feature of this release is the introduction of a functional, procedural API that gives you fine-grained control over the analysis pipeline:
from kura import (
summarise_conversations,
generate_base_clusters_from_conversation_summaries,
reduce_clusters_from_base_clusters,
reduce_dimensionality_from_clusters,
)
# Run each step independently
summaries = await summarise_conversations(conversations, model=summary_model)
clusters = await generate_base_clusters_from_conversation_summaries(summaries, model=cluster_model)
meta_clusters = await reduce_clusters_from_base_clusters(clusters, model=meta_cluster_model)
projected = await reduce_dimensionality_from_clusters(meta_clusters, model=dim_reduction_model)
This new API offers: - Complete control over each pipeline step - Easy integration with heterogeneous models (OpenAI, vLLM, Hugging Face) - Functional programming style with no hidden state - Keyword-only arguments for clarity