Awesome Astra
A curated, evidence-backed collection of use cases, prompts, integrations, evaluations and safety notes for OpenAI's GPT-6 Astra model, grounded in OpenAI's own documentation.
Awesome Astra is a curated repository tracking practical workflows, prompts, integrations, evaluations, and safety notes for GPT-6 Astra, OpenAI's model aimed at difficult, end-to-end work. Its initial edition is deliberately first-party led, meaning every entry is grounded in OpenAI's current model guidance, API documentation, or published safety material rather than third-party speculation.
It lists quick facts about the model as of a stated review date, including its API model identifier, context window, maximum output, supported reasoning effort levels, available tools (functions, web search, file search, and computer use), which API to use for function calling, and listed per-token pricing, each sourced to the relevant OpenAI documentation page, and links to sibling repositories in the same series covering other frontier models such as Claude, Gemini, and Meta's Muse agent.
It is released under the MIT license and states that model access, prices, limits, and behavior can change, so linked OpenAI documentation should be rechecked before relying on any specific detail in production.