B.AI API Adds Codex Compatibility for Direct Access to GPT Models

B.AI API Adds Codex Compatibility for Direct Access to GPT Models

N
News Editor
2026-08-26 05:31:40
B.AI said on Aug. 26 that its API is now fully compatible with the OpenAI Responses API, allowing developers to use supported GPT-series models directly inside the Codex development environment. According to the announcement, developers only need a B.AI API key and a Base URL configuration to start making calls through Codex. The company said the integration is designed to bring large-model capabilities into everyday coding workflows without requiring a separate setup process beyond those API configurations. B.AI said the supported use cases include code generation, logic comprehension, intelligent debugging, architecture refactoring, and team development collaboration. In its statement, the company added that developers working in Codex can receive real-time AI assistance across scenarios ranging from individual programming tasks to team-based collaboration. B.AI also said it continues to focus on lowering the barrier to using advanced AI capabilities through broader ecosystem compatibility and more flexible calling methods for developers worldwide.

B.AI said on Aug. 26 that its API is now fully compatible with the OpenAI Responses API, giving developers a way to call supported GPT-series models directly from the Codex development environment.

According to the announcement, developers only need to use a B.AI API key and complete the Base URL setup to access those models inside Codex and plug large-model capabilities into their daily coding workflows.

B.AI said the supported scenarios include code generation, logic comprehension, intelligent debugging, architecture refactoring, and team development collaboration. The company said developers using Codex can receive real-time AI assistance across a range of needs, from individual development work to collaborative team tasks.

In the same statement, B.AI said it is focused on lowering the barrier to using advanced AI capabilities. It added that it aims to offer developers a more efficient and convenient programming assistance experience through broader ecosystem compatibility and more flexible calling methods.

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