GitHub Models built into your repository is in public preview #159087
Replies: 47 comments 21 replies
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Nice |
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Good information |
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158790 |
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When will Google models be added? |
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Well done @Akash1134 |
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1 week |
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Weldone this is great |
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خبتةنلمةمو |
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Nice work. Feedback / feature requests:
I've experimented with this. My concern is too many or long inline prompts in code starts to look like prompt spaghetti or web development before we conventions that separated concerns with MVC frameworks. Plus, giving non-developer roles the ability to contribute to and test prompts is important.
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Hey @dljones555 - Thanks so much for the thoughtful feedback! Lots of great ideas here, and we’re excited to see you're already thinking along the same lines we are!
Keep the feedback coming! This is super helpful as we continue to improve the experience! |
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Kate, Thanks for replying. I've explored the prompt management ecosystem even a little further.
To me, it seems there are prompt creation and eval tools geared towards engineers, but not workflows that are friendly to allowing non-engineer to work on prompts. There are also more consumer friendly prompt management tools that don't integrate into prompt as code approach or CI/CD workflows. A blend of both approaches might be the sweet spot. Are you positioning GitHub Models and the prompt tools as friendly for non-engineers to help with the prompt development lifecycle? Prompts are becoming key knowledge assets for organizations and other roles like QA, business and operations people should be involved in authoring and testing these and they should seamlessly be reusable in agent code by name. I took an attempt a file based PromptLoader (peer coded with GitHub Copilot mostly) that I want to develop further to integration with MCP SDK's for support the roots and prompts specs. https://github.com/dljones555/promptloader David L. Jones |
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Hi David, really appreciate you sharing such a thoughtful and well-researched response! You've clearly dug in here! While we're still in the early stages of exploring where GitHub Models can go, your points about MCP, other prompt formats, and others are incredibly helpful context as we think about where we go next. I also totally agree on non-engineers in the prompt development lifecycle. That’s something we’ve been hearing more broadly from large enterprises too. I’ve shared your post internally with the team, we're actively shaping thoughts on MCP now so the timing is great. Really appreciate you calling those out. Thanks again for contributing to the discussion here - please keep it coming! |
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Love this 😊 |
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When the daily rate limits are reached, be it via the Playground or the API, will there be any kind of notification warning us so and that we will be billed at $0.04/req going forward for that day? If not, I request this to be added in the UI or somewhere. |
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Hey @krishnanmk, great question! To clarify: Once you enable billing, all usage (whether via the API or the in-repo playground/compare tabs) is immediately billed according to your pricing plan. There's no longer a free tier that gets used up first once you enable billing. This is because paid users get higher rate limits right away (e.g., more requests per minute), so you're getting added value from the start. That said, usage in the public playground at github.com/marketplace/models is always free! It’s not tied to any org, so it’s not billed, but the tradeoff is that rate limits are much lower. Totally fair point about messaging. We just added a banner to the public playground to help clarify this, and we’re happy to keep improving the experience. Hope that helps! Feel free to reach out with any other questions! |
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how can i log the rate limit error? |
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Hey @Nassergmr can you tell us more about what you're trying to do here? With a few more specifics I can be more helpful! |
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proyect ,repli , assueses |
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So I've added a custom API key for Copilot model usage, but somehow I'm being rate limited on code edits? Why would any prompting that is used to perform code integration into output files be run through Github's models given I've provided one? Seems like a waste of money for you guys. |
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Might Pro+ subscriptions have a higher rate limit than Pro, please? It would help me justify keeping the sub long term. Thanks! Pro+ doesn't even have a column on the rate limits page, so I'm assuming it's the same as Pro which is listed. |
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Como se k puedo transferir |
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exciting to work with ai models in our own repositories!! |
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It’s exciting to begin working with AI models within the repositories. |
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Exciting news! Going to make using Gemini even better! |
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Ok we’re do I start. Give me a good suggestion. I did see the Facebook bot
And I would like to go the quickest route far as what your suggestion would
be far as helping people and making income
…On Sun, Mar 29, 2026 at 6:31 PM scottpoulton ***@***.***> wrote:
Exciting news! Going to make using Gemini even better!
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Integrating AI like GitHub Models shows how a business ethics consulting firm can also benefit from structured, transparent workflows that prioritize collaboration and accountability |
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Really impressive how GitHub Models brings structure and collaboration into prompt engineering, feels like a natural evolution of dev workflows. The seamless integration reminds me of how niche solutions like door to door pet relocation canada quietly solve complex problems without disrupting the overall flow. |
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Rest |
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The “prompts as code” direction becomes much stronger if evaluation metadata is versioned beside the prompt. A prompt file is useful, but teams also need the test cases, expected behavior, evaluator configuration, model version, privacy assumptions, and approval status that explain why a prompt is safe to use. For repository-native AI work, I would like to see a lightweight governance manifest: model/provider allowed list, data-handling notes, evaluation suite path, cost limits, human-review requirement, and sensitive-input restrictions. That keeps experimentation easy while giving maintainers something concrete to review in pull requests. This would also help non-technical collaborators. They could comment on examples, rubric failures, and regression diffs without needing to understand the full implementation behind the AI feature. |
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I no need again romve
07069753658
…On Fri, 1 May 2026, 1:29 am cuiqinghua, ***@***.***> wrote:
CZPAY 플랫폼 관점에서 GitHub Models에 대한 핵심 건의사항은 다음과 같습니다.
즉시 도입을 권장합니다. GitHub Models는 별도 API 계약 없이 GPT-4.1, Llama 4, Cohere v2 등 최신
AI 모델을 저장소 내에서 직접 테스트할 수 있는 기능으로, 현재 무료로 제공되고 있습니다.
CZPAY 입장에서 가장 큰 활용 가치는 고객센터 자동 응답 품질 향상입니다. 현재 support_bot.py의 FAQ 응답 로직을
여러 AI 모델로 비교 테스트하여 한국어 및 중국어 문의에 가장 정확하게 응답하는 모델을 선택할 수 있습니다. 또한 스왑 거래 오류
로그를 AI가 자동 분석하여 원인을 진단하는 기능에도 적용 가능합니다.
단, 현재 공개 프리뷰 단계이므로 프로덕션 환경 적용 전에 czpay-ai-platform 저장소에서 충분히 테스트하신 후 안정성이
확인된 모델만 실서비스에 연결하시기를 권장합니다.
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👋 Hey GitHub community! We're beyond excited to unveil something we've been working on that's about to change how you build with AI. GitHub Models has arrived in public preview, bringing AI developer tooling directly into your repositories!
🔄 Your AI Workflow, Simplified
Imagine building AI features without constantly switching between tools or losing context. Were commited to making that dream a reality! GitHub Models weaves AI capabilities seamlessly into your existing GitHub workflow:
📝 Prompts as Code: Version, Track, Review
Gone are the days of prompts living in random text files or lost in chat histories! With GitHub Models:
*.prompt.ymlfiles lets you treat prompts like any other code assetThe built-in editor means everyone on your team can contribute to prompt engineering—even those who've never written a line of code!
🔍 Side-by-Side Model Comparison
No more guesswork when choosing models or tuning prompts! With GitHub Models, you can:
This structured approach means faster iterations and more confident decision-making for your AI projects.
🔒 Enterprise-Grade Security & Control
We built GitHub Models with security and governance at the forefront:
✨ Available Now for Everyone
GitHub Models is built into every repo, for every developer—whether you're working solo or as part of a large organization. Getting started is simple:
.prompt.ymlfileWant to learn more? Check out our comprehensive documentation on GitHub Models.
🌱 Help Shape What's Next
This is just the beginning and we are still very early in our journey! Your feedback will directly influence our roadmap as we continue to enhance GitHub Models. Join us in the comments below to share your ideas and connect with other developers who are building the future of AI on GitHub.
What AI features are you excited to build with GitHub Models? Let us know in the comments below! 👇
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