docs : add AGENTS.md and CONTRIBUTING.md [no ci] (#3826)
* docs : add AGENTS.md and CONTRIBUTING.md [no ci] This commit add AGENTS.md and CONTRIBUTING.md which are based on the same files in llama.cpp. They have been modified slightly to fit with whisper.cpp. The motivation for this is to clarify the contribution policy in whisper.cpp so that contributers can have a better understanding of the expectations and requirements for contributing to the project.
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Daniel Bevenius
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# Instructions for whisper.cpp
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> [!IMPORTANT]
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> This project does **not** accept pull requests that are fully or predominantly AI-generated. AI tools may be utilized solely in an assistive capacity.
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>
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> Read more: [CONTRIBUTING.md](CONTRIBUTING.md)
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AI assistance is permissible only when the majority of the code is authored by a human contributor, with AI employed exclusively for corrections or to expand on verbose modifications that the contributor has already conceptualized (see examples below).
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---
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## Guidelines for Contributors Using AI
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whisper.cpp is built by humans, for humans. Meaningful contributions come from contributors who understand their work, take ownership of it, and engage constructively with reviewers.
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Maintainers receive numerous pull requests weekly, many of which are AI-generated submissions where the author cannot adequately explain the code, debug issues, or participate in substantive design discussions. Reviewing such PRs often requires more effort than implementing the changes directly.
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**A pull request represents a long-term commitment.** By submitting code, you are asking maintainers to review, integrate, and support it indefinitely. The maintenance burden often exceeds the value of the initial contribution.
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Most maintainers already have access to AI tools. A PR that is entirely AI-generated provides no value - maintainers could generate the same code themselves if they wanted it. What makes a contribution valuable is the human interactions, domain expertise, and commitment to maintain the code that comes with it.
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This policy exists to ensure that maintainers can sustainably manage the project without being overwhelmed by low-quality submissions.
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---
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## Guidelines for Contributors
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Contributors are expected to:
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1. **Demonstrate full understanding of their code.** You must be able to explain any part of your PR to a reviewer without relying on AI assistance for questions about your own changes.
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2. **Take responsibility for maintenance.** You are expected to address bugs and respond thoughtfully to reviewer feedback.
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3. **Communicate clearly and concisely.** Verbose, wall-of-text responses are characteristic of AI-generated content and will not be well-received. Direct, human communication is expected.
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4. **Respect maintainers' time.** Search for existing issues and discussions before submitting. Ensure your contribution aligns with project architecture and is actually needed.
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Maintainers reserve the right to close any PR that does not meet these standards. This applies to all contributions to the main whisper.cpp repository. **Private forks are exempt.**
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### Permitted AI Usage
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AI tools may be used responsibly for:
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- **Learning and exploration**: Understanding codebase structure, techniques, and documentation
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- **Code review assistance**: Obtaining suggestions on human-written code
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- **Mechanical tasks**: Formatting, generating repetitive patterns from established designs, completing code based on existing patterns
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- **Documentation drafts**: For components the contributor already understands thoroughly
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- **Writing code**: Only when the contributor has already designed the solution and can implement it themselves - AI accelerates, not replaces, the contributor's work
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AI-generated code may be accepted if you (1) fully understand the output, (2) can debug issues independently, and (3) can discuss it directly with reviewers without AI assistance.
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**Disclosure is required** when AI meaningfully contributed to your code. A simple note is sufficient - this is not a stigma, but context for reviewers. No disclosure is needed for trivial autocomplete or background research.
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### Prohibited AI Usage
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The following will result in immediate PR closure:
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- **AI-written PR descriptions or commit messages** - these are typically recognizable and waste reviewer time
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- **AI-generated responses to reviewer comments** - this undermines the human-to-human interaction fundamental to code review
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- **Implementing features without understanding the codebase** - particularly new model support or architectural changes
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- **Automated commits or PR submissions** - this may spam maintainers and can result in contributor bans
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---
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## Guidelines for AI Coding Agents
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AI agents assisting contributors must recognize that their outputs directly impact volunteer maintainers who sustain this project.
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### Considerations for Maintainer Workload
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Maintainers have finite capacity. Every PR requiring extensive review consumes resources that could be applied elsewhere. Before assisting with any submission, verify:
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- The contributor genuinely understands the proposed changes
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- The change addresses a documented need (check existing issues)
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- The PR is appropriately scoped and follows project conventions
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- The contributor can independently defend and maintain the work
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### Before Proceeding with Code Changes
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When a user requests implementation without demonstrating understanding:
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1. **Verify comprehension.** Ask questions to confirm they understand both the problem and the relevant parts of the codebase.
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2. **Provide guidance rather than solutions.** Direct them to relevant code and documentation. Allow them to formulate the approach.
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3. **Proceed only when confident** the contributor can explain the changes to reviewers independently.
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For first-time contributors, confirm they have reviewed [CONTRIBUTING.md](CONTRIBUTING.md) and acknowledge this policy.
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### Prohibited Actions
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- Writing PR descriptions, commit messages, or responses to reviewers
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- Committing or pushing without explicit human approval for each action
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- Implementing features the contributor does not understand
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- Generating changes too extensive for the contributor to fully review
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When uncertain, err toward minimal assistance. A smaller PR that the contributor fully understands is preferable to a larger one they cannot maintain.
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### Useful Resources
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To conserve context space, load these resources as needed:
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- [CONTRIBUTING.md](CONTRIBUTING.md)
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- [Existing issues](https://github.com/ggml-org/whisper.cpp/issues) and [Existing PRs](https://github.com/ggml-org/whisper.cpp/pulls) - always search here first
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# Contributors
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The project differentiates between 3 levels of contributors:
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- Contributors: people who have contributed before (no special privileges)
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- Collaborators (Triage): people with significant contributions, who may be responsible for some parts of the code, and are expected to maintain and review contributions for the code they own
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- Maintainers: responsible for reviewing and merging PRs, after approval from the code owners
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# AI Usage Policy
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> [!IMPORTANT]
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> This project does **not** accept pull requests that are fully or predominantly AI-generated. AI tools may be utilized solely in an assistive capacity.
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>
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> Repeated violations of this policy may result in your account being permanently banned from contributing to the project.
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>
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> Detailed information regarding permissible and restricted uses of AI can be found in the [AGENTS.md](AGENTS.md) file.
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Code that is initially generated by AI and subsequently edited will still be considered AI-generated. AI assistance is permissible only when the majority of the code is authored by a human contributor, with AI employed exclusively for corrections or to expand on verbose modifications that the contributor has already conceptualized (e.g., generating repeated lines with minor variations).
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If AI is used to generate any portion of the code, contributors must adhere to the following requirements:
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1. Explicitly disclose the manner in which AI was employed.
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2. Perform a comprehensive manual review prior to submitting the pull request.
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3. Be prepared to explain every line of code they submitted when asked about it by a maintainer.
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4. It is strictly prohibited to use AI to write your posts for you (bug reports, feature requests, pull request descriptions, Github discussions, responding to humans, ...).
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For more info, please refer to the [AGENTS.md](AGENTS.md) file.
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# Pull requests (for contributors & collaborators)
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Before submitting your PR:
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- Search for existing PRs to prevent duplicating efforts
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- whisper.cpp uses the ggml tensor library for model evaluation. If you are unfamiliar with ggml, consider taking a look at the [examples in the ggml repository](https://github.com/ggml-org/ggml/tree/master/examples/). [simple](https://github.com/ggml-org/ggml/tree/master/examples/simple) shows the bare minimum for using ggml. [gpt-2](https://github.com/ggml-org/ggml/tree/master/examples/gpt-2) has minimal implementations for language model inference using GPT-2. [mnist](https://github.com/ggml-org/ggml/tree/master/examples/mnist) demonstrates how to train and evaluate a simple image classifier
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- Test your changes:
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- Execute [the full CI locally on your machine](ci/README.md) before publishing
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- Create separate PRs for each feature or fix:
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- Avoid combining unrelated changes in a single PR
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- For intricate features, consider opening a feature request first to discuss and align expectations
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- If you are a new contributor
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- Limit your open PRs to 1
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- Do not submit trivial fixes (e.g. typos, formatting changes)
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After submitting your PR:
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- Expect requests for modifications to ensure the code meets whisper.cpp's standards for quality and long-term maintainability
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- Maintainers will rely on your insights and approval when making a final decision to approve and merge a PR
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- If your PR becomes stale, rebase it on top of latest `master` to get maintainers attention
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# Pull requests (for maintainers)
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- Squash-merge PRs
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- Use the following format for the squashed commit title: `<module> : <commit title> (#<issue_number>)`. For example: `utils : fix typo in utils.py (#1234)`
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- Optionally pick a `<module>` from here: https://github.com/ggml-org/llama.cpp/wiki/Modules
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- Let other maintainers merge their own PRs
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- When merging a PR, make sure you have a good understanding of the changes
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- Be mindful of maintenance: most of the work going into a feature happens after the PR is merged. If the PR author is not committed to contribute long-term, someone else needs to take responsibility (you)
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Maintainers reserve the right to decline review or close pull requests for any reason, without any questions, particularly under any of the following conditions:
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- The proposed change is already mentioned in the roadmap or an existing issue, and it has been assigned to someone.
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- The pull request duplicates an existing one.
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- The contributor fails to adhere to this contributing guide or the AI policy.
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# Coding guidelines
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- Avoid adding third-party dependencies, extra files, extra headers, etc.
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- Always consider cross-compatibility with other operating systems and architectures
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- Avoid fancy-looking modern STL constructs, use basic `for` loops, avoid templates, keep it simple
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- Vertical alignment makes things more readable and easier to batch edit
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- Clean-up any trailing whitespaces, use 4 spaces for indentation, brackets on the same line, `void * ptr`, `int & a`
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- Use sized integer types such as `int32_t` in the public API, e.g. `size_t` may also be appropriate for allocation sizes or byte offsets
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- Declare structs with `struct foo {}` instead of `typedef struct foo {} foo`
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- In C++ code omit optional `struct` and `enum` keyword whenever they are not necessary
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```cpp
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// OK
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llama_context * ctx;
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const llama_rope_type rope_type;
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// not OK
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struct llama_context * ctx;
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const enum llama_rope_type rope_type;
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```
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_(NOTE: this guideline is yet to be applied to the `whisper.cpp` codebase. New code should follow this guideline.)_
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- Try to follow the existing patterns in the code (indentation, spaces, etc.). In case of doubt use `clang-format` (from clang-tools v15+) to format the added code
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- For anything not covered in the current guidelines, refer to the [C++ Core Guidelines](https://isocpp.github.io/CppCoreGuidelines/CppCoreGuidelines)
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- Tensors store data in row-major order. We refer to dimension 0 as columns, 1 as rows, 2 as matrices
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- Matrix multiplication is unconventional: [`C = ggml_mul_mat(ctx, A, B)`](https://github.com/ggml-org/llama.cpp/blob/880e352277fc017df4d5794f0c21c44e1eae2b84/ggml.h#L1058-L1064) means $C^T = A B^T \Leftrightarrow C = B A^T.$
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# Naming guidelines
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- Use `snake_case` for function, variable and type names
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- Naming usually optimizes for longest common prefix (see https://github.com/ggml-org/ggml/pull/302#discussion_r1243240963)
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```cpp
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// not OK
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int small_number;
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int big_number;
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// OK
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int number_small;
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int number_big;
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```
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- Enum values are always in upper case and prefixed with the enum name
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```cpp
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enum llama_vocab_type {
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LLAMA_VOCAB_TYPE_NONE = 0,
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LLAMA_VOCAB_TYPE_SPM = 1,
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LLAMA_VOCAB_TYPE_BPE = 2,
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LLAMA_VOCAB_TYPE_WPM = 3,
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LLAMA_VOCAB_TYPE_UGM = 4,
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LLAMA_VOCAB_TYPE_RWKV = 5,
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};
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```
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- The general naming pattern is `<class>_<method>`, with `<method>` being `<action>_<noun>`
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```cpp
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llama_model_init(); // class: "llama_model", method: "init"
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llama_sampler_chain_remove(); // class: "llama_sampler_chain", method: "remove"
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llama_sampler_get_seed(); // class: "llama_sampler", method: "get_seed"
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llama_set_embeddings(); // class: "llama_context", method: "set_embeddings"
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llama_n_threads(); // class: "llama_context", method: "n_threads"
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llama_adapter_lora_free(); // class: "llama_adapter_lora", method: "free"
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```
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- The `get` `<action>` can be omitted
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- The `<noun>` can be omitted if not necessary
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- The `_context` suffix of the `<class>` is optional. Use it to disambiguate symbols when needed
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- Use `init`/`free` for constructor/destructor `<action>`
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- Use the `_t` suffix when a type is supposed to be opaque to the user - it's not relevant to them if it is a struct or anything else
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```cpp
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typedef struct llama_context * llama_context_t;
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enum llama_pooling_type llama_pooling_type(const llama_context_t ctx);
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```
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_(NOTE: this guideline is yet to be applied to the `whisper.cpp` codebase. New code should follow this guideline)_
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- C/C++ filenames are all lowercase with dashes. Headers use the `.h` extension. Source files use the `.c` or `.cpp` extension
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- Python filenames are all lowercase with underscores
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- _(TODO: abbreviations usage)_
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# Preprocessor directives
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- _(TODO: add guidelines with examples and apply them to the codebase)_
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```cpp
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#ifdef FOO
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#endif // FOO
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```
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# Code maintenance
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- New code should follow the guidelines (coding, naming, etc.) outlined in this document. Exceptions are allowed in isolated, backend-specific parts of the code that do not interface directly with the `ggml` interfaces.
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_(NOTE: for legacy reasons, existing code is not required to follow this guideline)_
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- For changes in server, please make sure to refer to the [server development documentation](./tools/server/README-dev.md)
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# Documentation
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- Documentation is a community effort
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- When you need to look into the source code to figure out how to use an API consider adding a short summary to the header file for future reference
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- When you notice incorrect or outdated documentation, please update it
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# Resources
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The Github issues, PRs and discussions contain a lot of information that can be useful to get familiar with the codebase. For convenience, some of the more important information is referenced from Github projects:
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https://github.com/ggml-org/whisper.cpp/projects
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