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William Croxson
Senior Software Engineer at Spice AI
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Spice v1.0-stable (Jan 20, 2025)

ยท 8 min read
William Croxson
Senior Software Engineer at Spice AI

๐ŸŽ‰ After 47 releases, Spice.ai OSS has reached production readiness with the 1.0-stable milestone!

The core runtime and features such as query federation, query acceleration, catalog integration, search and AI-inference have all graduated to stable status along with key component graduations across data connectors, data accelerators, catalog connectors, and AI model providers.

Highlights in v1.0-stableโ€‹

Breaking Changesโ€‹

  • Default Runtime Version: The CLI will install the GPU accelerated AI-capable Runtime by default (if supported), when running spice install or spice run. To force-install the non-GPU version, run spice install ai --cpu.

  • Default OpenAI Model: The default OpenAI model has updated to gpt-4o-mini.

  • Identifier Normalization: Unquoted identifiers such as table names are no longer normalized to lowercase. Identifiers will now retain their exact case as provided.

  • Sandboxed Docker Image: The Runtime Docker Image now runs the spiced process as the nobody user in a minimal chroot sandbox.

  • Insecure S3 and ABFS endpoints: The S3 and ABFS connectors now enforce insecure endpoint checks, preventing HTTP endpoints unless allow_http is explicitly enabled. Refer to the documentation for details.

Spice v1.0-rc.2 (Dec 16, 2024)

ยท 8 min read
William Croxson
Senior Software Engineer at Spice AI

Announcing the release of Spice v1.0-rc.2 ๐Ÿ”—

Spice v1.0.0-rc.2 is the second release candidate for the first major version of Spice.ai OSS. This release continues to build on the stability of Spice for production use, including key Data Connector graduations, bug fixes, and AI features.

Highlights in v1.0-rc.2โ€‹

  • MS SQL and File Data Connectors: Graduated from Alpha to Beta.

  • GraphQL and Databricks Delta Lake Data Connectors: Graduated from Beta to Release Candidate.

  • gospice SDK Release: The Spice Go SDK has updated to v7.0, adding support for refreshing datasets and upgrading dependencies.

  • Azure AI Support: Added support for both LLMs and embedding models. Example spicepod.yml configuration:

embeddings:
- name: azure
from: azure:text-embedding-3-small
params:
endpoint: https://your-resource-name.openai.azure.com
azure_api_version: 2024-08-01-preview
azure_deployment_name: text-embedding-3-small
azure_api_key: ${ secrets:SPICE_AZURE_API_KEY }
models:
- name: azure
from: azure:gpt-4o-mini
params:
endpoint: https://your-resource-name.openai.azure.com
azure_api_version: 2024-08-01-preview
azure_deployment_name: gpt-4o-mini
azure_api_key: ${ secrets:SPICE_AZURE_TOKEN }

Accelerate subsets of columns: Spice now supports acceleration for specific columns from a federated source. Specify the desired columns directly in the Refresh SQL for more selective and efficient data acceleration.

Example spicepod.yaml configuration:

datasets:
- from: s3://spiceai-demo-datasets/taxi_trips/2024/
name: taxi_trips
params:
file_format: parquet
acceleration:
refresh_sql: SELECT tpep_pickup_datetime, tpep_dropoff_datetime, trip_distance, total_amount FROM taxi_trips