Spice v1.5.2 (Aug 4, 2025)

Spice v1.5.2 introduces a new Amazon Bedrock Models Provider for converse API (Nova) compatible models, AWS Redshift support using the Postgres data connector, and Hadoop Catalog Support for Iceberg tables along with several bug fixes and improvements.

What's New in v1.5.2

Amazon Bedrock Models Provider: Adds a new Amazon Bedrock LLM Provider. Models compatible with the Converse API (Nova) are supported.

Amazon Bedrock provides access to a range of foundation models for generative AI. Spice supports using Bedrock-hosted models by specifying the bedrock prefix in the from field and configuring the required parameters.

Supported Model IDs:

• us.amazon.nova-lite-v1:0
• us.amazon.nova-micro-v1:0
• us.amazon.nova-premier-v1:0
• us.amazon.nova-pro-v1:0

Refer to the Amazon Bedrock documentation for details on available models.

Example Spicepod.yaml:

:::yaml
models:
  - from: bedrock:us.amazon.nova-lite-v1:0
    name: novash
    params:
      aws_region: us-east-1
      aws_access_key_id: ${ secrets:AWS_ACCESS_KEY_ID }
      aws_secret_access_key: ${ secrets:AWS_SECRET_ACCESS_KEY }
      bedrock_guardrail_identifier: arn:aws:bedrock:abcdefg012927:0123456789876:guardrail/hello
      bedrock_guardrail_version: DRAFT
      bedrock_trace: enabled
      bedrock_temperature: 42

For more information, see the Amazon Bedrock Documentation.

AWS Redshift Support for Postgres Data Connector: Spice now supports connecting to Amazon Redshift using the PostgreSQL data connector. Redshift is a columnar OLAP database compatible with PostgreSQL, allowing you to use the same connector and configuration parameters.

To connect to Redshift, use the format postgres:schema.table in your Spicepod and set the connection parameters to match your Redshift cluster settings.

Example Spicepod.yaml:

:::yaml
# Example datasets for Redshift TPCH tables
datasets:
  - from: postgres:public.customer
    name: customer
    params:
      pg_host: ${secrets:PG_HOST}
      pg_port: 5439
      pg_sslmode: prefer
      pg_db: dev
      pg_user: ${secrets:PG_USER}
      pg_pass: ${secrets:PG_PASS}
  - from: postgres:public.lineitem
    name: lineitem
    params:
      pg_host: ${secrets:PG_HOST}
      pg_port: 5439
      pg_sslmode: prefer
      pg_db: dev
      pg_user: ${secrets:PG_USER}
      pg_pass: ${secrets:PG_PASS}

Redshift types are mapped to PostgreSQL types. See the PostgreSQL connector documentation for details on supported types and configuration.

Hadoop Catalog Support for Iceberg: The Iceberg Data and Catalog connectors now support connecting to Hadoop catalogs on local filesystem (file://) or S3 object storage (s3://, s3a://). This enables connecting to Iceberg catalogs without a separate catalog provider service.

Example Spicepod.yaml:

:::yaml
catalogs:
  - from: iceberg:file:///tmp/hadoop_warehouse/
    name: local_hadoop
  - from: iceberg:s3://my-bucket/hadoop_warehouse/
    name: s3_hadoop

  # Example datasets
  - from: iceberg:file:///data/hadoop_warehouse/test/my_table_1
    name: local_hadoop
  - from: iceberg:s3://my-bucket/hadoop_warehouse/test/my_table_2
    name: s3_hadoop

For more details, see the Iceberg Data Connector documentation and the Iceberg Catalog Connector documentation.

Contributors

• @Jeadie
• @mach-kernel
• @peasee
• @phillipleblanc
• @Advayp
• @lukekim

Breaking Changes

• N/A

Cookbook Updates

• Added Amazon Redshift Support to the Postgres Data Connector cookbook: Connect to tables in Amazon Redshift.

The Spice Cookbook includes 75 recipes to help you get started with Spice quickly and easily.

Upgrading

To upgrade to v1.5.2, use one of the following methods:

CLI:

:::console
spice upgrade

Homebrew:

:::console
brew upgrade spiceai/spiceai/spice

Docker:

Pull the spiceai/spiceai:1.5.2 image:

:::console
docker pull spiceai/spiceai:1.5.2

For available tags, see DockerHub.

Helm:

:::console
helm repo update
helm upgrade spiceai spiceai/spiceai

AWS Marketplace:

🎉 Spice is also now available in the AWS Marketplace!

What's Changed

Dependencies

No major dependency updates.

Changelog

• fixes for databricks OpenAI compatibility (#6629) by @Jeadie in #6629
• Update spicepod.schema.json (#6632) by @app/github-actions in #6632
• Remove 'stream_options' from databricks LLMs (#6637) by @Jeadie in #6637
• Move retry and rate limiting logic for Amazon bedrock out of embeddings. (#6626) by @Jeadie in #6626
• Disable Metal precomplation in integration_llms.yml (#6649) by @Jeadie in #6649
• fix: Hadoop integration test (#6660) by @peasee in #6660
• feat: Add Hadoop Catalog Data Component (#6658) by @peasee in #6658
• update datafusion-table-providers to latest spiceai tag (#6661) by @mach-kernel in #6661
• feat: Add Hadoop Catalog connectors for Iceberg (#6659) by @peasee in #6659
• Make FullTextSearchExec robust to RecordBatch column ordering. (#6675) by @Jeadie in #6675
• Make 'runtime-object-store' crate (#6674) by @Jeadie in #6674
• fix: Support include for Iceberg (#6663) by @peasee in #6663
• feat: Add Hadoop TPCH benchmark (#6678) by @peasee in #6678
• feat: Add Hadoop metadata_path parameter (#6680) by @peasee in #6680
• fix: Automatically infer Hadoop warehouse scheme (#6681) by @peasee in #6681
• Amazon Bedrock, specifically Nova models (#6673) by @Jeadie in [#6673](https://github.com/spiceai/spiceai/pull/6673
• fix perplexity_auth_token parameters for web_search (#6685) by @Jeadie in #6685
• Fix AWS Auth issue (#6699) by @Advayp in #6699
• Limit Concurrent Requests for GitHub (#6672) by @Advayp in #6672
• Add runtime parameter to enable more permissive parquet reading when page indexes are missing (#6716) by @phillipleblanc in #6716
• Improve Flight REPL error messages (#6696) by @lukekim in #6696
• Fixes from search tests (#6710) by @Jeadie in #6710