Use headers, footers, page numbers & footnotes Computer Google Docs Editors Help

Save highly detailed instructions and upload files to brief your own AI expert. Gems can be anything from a career coach or brainstorm partner to a coding helper. Sift through hundreds of websites, analyze the information, and create a comprehensive report in minutes. It’s like having a personalized research agent that helps you get up to speed on just about anything.

You can use gpt-oss-120b and gpt-oss-20b with the Transformers library. If you use Transformers’ chat template, it will automatically apply the harmony response format. If you use model.generate directly, you need to apply the harmony format manually using the chat template or use our openai-harmony package. By default, gpt-engineer expects text input via a prompt file.

• By default, gpt-engineer supports OpenAI Models via the OpenAI API or Azure OpenAI API, as well as Anthropic models.
• For that reason you should create a new browser instance for every request.
• With Google Docs, you can create and edit text documents right in your web browser—no special software is required.
• Outside of bug fixes we do not intend to accept new feature contributions.

Seguridad, evaluaciones externas y disponibilidad del modelo

By default, gpt-engineer supports OpenAI Models via the OpenAI API or Azure OpenAI API, as well as Anthropic models. We may release code for evaluating the models on various benchmarks. Apply_patch can be used to create, update or delete files locally. To improve performance the tool caches requests so that the model can revisit a different part of a page without having to reload the page. For that reason you should create a new browser instance for every request. Along with the model, we are also releasing a new chat format library harmony to interact with the model.

• Additionally we are providing a reference implementation for Metal to run on Apple Silicon.
• The model has also been trained to then use citations from this tool in its answers.
• If you have existing files, you can import and convert them to Docs, Sheets, or Slides.

While vLLM uses the Hugging Face converted checkpoint under gpt-oss-120b/ and gpt-oss-20b/ root directory respectively. Additionally we are providing a reference implementation for Metal to run on Apple Silicon. This implementation is not production-ready but is accurate to the PyTorch implementation. These implementations are largely reference implementations for educational purposes and are not expected to be run in production. Your files are available to edit, share, and work on with others. You can share files and folders with people and choose whether they can view, edit, or comment on them.

🚀 Main Features

Both models were trained using our harmony response format and should only be used with this format; otherwise, they will not work correctly. Using Google products, like Google Docs, at work or school? Learn to work on Office files without installing Office, create dynamic project plans and team calendars, auto-organize your inbox, and more. The gpt-engineer community mission is to maintain tools that coding agent builders can use and facilitate collaboration in the open source community. With a little extra setup, you can also run with open source models like WizardCoder.

ChatGPT – grok – deepseek – gemini

Code and models from the paper “Language Models are Unsupervised Multitask Learners”. To control the context window size this tool uses a scrollable window of text that the model can interact with. So it might fetch the first 50 lines of a page and then scroll to the next 20 lines after that. The model has also been trained to then use citations from this tool in its answers. The torch and triton implementations require original checkpoint under gpt-oss-120b/original/ and gpt-oss-20b/original/ respectively.

Use Gemini to summarize text, generate first drafts and upload files to get feedback on things you’ve already written. Once generated, you can instantly download or share with others. Create high-quality, 8-second videos with our latest video generation models. Simply describe what you have in mind and watch your ideas come to life in motion. This project is licensed under the MIT License – see the LICENSE file for details. This prompt unlocks rage mode A collection of powerful and advanced prompts designed to unlock the full potential of various AI language models.

Path Auto-filling is now supported

If you build implementations based on this code such as new tool implementations you are welcome to contribute them to the awesome-gpt-oss.md file. The terminal chat application is a basic example of how to use the harmony format together with the PyTorch, Triton, and vLLM implementations. It also exposes both the python and browser tool as optional tools that can be used. We include an inefficient reference PyTorch implementation in gpt_oss/torch/model.py. In this implementation, we upcast all weights to BF16 and run the model in BF16.

These prompts are intended for educational and research purposes only. Gpt-engineer is governed by a board of long-term contributors. If you contribute routinely and have https://traderoom.info/fortfs-overview/ an interest in shaping the future of gpt-engineer, you will be considered for the board.

Reference Metal implementation

This can be useful for adding UX or architecture diagrams as additional context for GPT Engineer. You can do this by specifying an image directory with the —-image_directory flag and setting a vision-capable model in the second CLI argument. We also include an optimized reference implementation that uses an optimized triton MoE kernel that supports MXFP4. It also has some optimization on the attention code to reduce the memory cost. To run this implementation, the nightly version of triton and torch will be installed. This version can be run on a single 80GB GPU for gpt-oss-120b.

If you’ve already stored Microsoft files in Drive, you can also update them without converting them. If you have existing files, you can import and convert them to Docs, Sheets, or Slides.

The model was trained to use a python tool to perform calculations and other actions as part of its chain-of-thought. During the training the model used a stateful tool which makes running tools between CoT loops easier. This reference implementation, however, uses a stateless mode. As a result the PythonTool defines its own tool description to override the definition in openai-harmony. The reference implementations in this repository are meant as a starting point and inspiration. Outside of bug fixes we do not intend to accept new feature contributions.