Before You Ship Nova, Set Four Gates
A practical checklist for putting Amazon Nova into an application: choose nova-lite or nova-pro by workload, expose tools, and verify context, modality, region, and cost constraints.
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HerokuAnush DSouzaAnnouncement
Amazon Nova Models: Now Available on Heroku
Summary
Amazon Nova’s nova-pro and nova-lite models are now available through Heroku Managed Inference and Agents, giving applications a managed way to use them. The integration initially supports text-to-text workloads, while multimodal support is planned for a future release; both models support tool use and offer 300,000-token context windows. Nova-lite targets speed, low latency, and high-volume real-time applications at $0.06 per 1M input tokens and $0.24 output, whereas nova-pro targets accuracy and deep reasoning at $0.80 input and $3.20 output. Heroku provides an OpenAI-compatible /v1/chat/completions endpoint for chat and generation, plus /v1/agents/heroku for built-in Heroku tools and custom MCP tools, with provisioning available in US and EU regions through the add-on or CLI.
Context
Building intelligent applications requires powerful, cost-effective AI, and the announcement presents a simpler managed path for developers and businesses to use Amazon Nova models through Heroku.
Approach / What changed
Heroku makes nova-pro and nova-lite available through its Managed Inference and Agents add-on, with an OpenAI-compatible chat endpoint and an agents endpoint supporting built-in Heroku tools and custom tools through MCP. Models can be provisioned in US and EU regions through the add-on or Heroku CLI.
Takeaways
The initial Heroku integration supports Nova text-to-text workloads; multimodal support is planned for a future release. Both models provide tool use and 300,000-token context windows.
Nova-lite is positioned for speed, low latency, and high-volume real-time applications, priced at $0.06 per 1M input tokens and $0.24 per 1M output tokens.
The /v1/agents/heroku endpoint supports built-in Heroku tools and custom MCP tools, while /v1/chat/completions provides an OpenAI-compatible interface for chat and text generation.
Source and freshness
- Source
- heroku.com
- Published
- Added to Yomu
Summaries are generated from the original by a language model. Check the original before relying on it.
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