OpenAI GPT-6 Sol Model Now Available on Unity Gateway
The OpenAI GPT-6 Sol model is now accessible via Unity Gateway using pay-per-token Foundation Model APIs.
O que mudou
The OpenAI GPT-6 Sol language model is now part of the Unity Gateway catalog, enabling queries via Foundation Model APIs with pay-per-token billing. ### Use cases Imagine you need to build applications focused on agentic coding, long-horizon reasoning, and complex tool usage without managing your own model infrastructure. With this release, you can: - Query the GPT-6 Sol model directly through Unity Gateway. - Process multimodal inputs such as text and images. - Integrate the model into automated workflows and intelligent agents. ### How to use To send requests to the model, use the corresponding service name in the Databricks APIs within your Python code. python from databricks.sdk import WorkspaceClient w = WorkspaceClient() response = w.serving_endpoints.query( name="databricks-gpt-6-sol", chat_completion_request={ "messages": [ {"role": "user", "content": "Solve this complex coding problem."} ] } ) print(response) What happens in this code: 1. Initializes the Databricks workspace client. 2. Sends a chat completion request to the GPT-6 Sol serving endpoint. 3. Prints the response generated by the model. ### Limitations and requirements - This model is not supported in AI Playground; use the Responses API to interact with it. - Usage is subject to compliance with applicable model terms. - Available in pay-per-token mode in supported regions.
- unity gateway
- foundation model apis
- openai
- model serving
- generative ai
OpenAI GPT-6 Sol is now available on Unity Gateway
Resumo e explicação gerados por IA a partir da release note oficial. Em caso de dúvida, a documentação oficial da plataforma prevalece.
Relacionadas
- DatabricksGA
Repositórios de pacotes em nível de workspace para Databricks Apps
Administradores de workspace podem configurar repositórios padrão de pacotes Python e npm para Databricks Apps.
databricks apps · workspace settings - DatabricksGA
Redimensione partições de stateful streaming sem perder o checkpoint no Databricks
Agora é possível alterar o número de partições de shuffle em queries Structured Streaming e pipelines Lakeflow sem descartar o estado do checkpoint.
structured streaming · lakeflow - DatabricksAtualização
Google Gemini 4 Argon disponível no Unity Gateway do Databricks
O modelo multimodal Google Gemini 4 Argon já pode ser acessado via Foundation Model APIs e Unity Gateway.
unity catalog · foundation model apis