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| <div align="center"> | ||
| <picture> | ||
| <img alt="Patchwork logo" src="https://repository-images.githubusercontent.com/782544882/a9743f35-5e1c-43ed-a0e0-536322056d38" width="36%"> | ||
| </picture> | ||
| <br> | ||
| <img alt="Patchwork GIF" src="https://raw.githubusercontent.com/patched-codes/patchwork/main/patchwork-banner.gif"> | ||
| </div> | ||
| <br> | ||
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| <div align="center"> | ||
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| [](https://github.com/patched-codes/patchwork/actions/workflows/release.yml) | ||
| [](https://discord.gg/XDxA3mJyhE) | ||
| [](https://pypi.org/project/patchwork-cli/) | ||
| [](https://pepy.tech/project/patchwork-cli) | ||
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| [Demo](https://youtu.be/MLyn6B3bFMU) | | ||
| [Docs](https://docs.patched.codes/) | ||
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| </div> | ||
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| Patchwork automates development gruntwork like PR reviews, bug fixing, security patching, and more using a self-hosted CLI agent and your preferred LLMs. Try the hosted version [here](https://app.patched.codes/signin). | ||
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| ## Key Components | ||
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| - **Steps**: Reusable atomic actions like create PR, commit changes or call an LLM. | ||
| - **Prompt Templates**: Customizable LLM prompts optimized for a chore like library updates, code generation, issue analysis or vulnerability remediation. | ||
| - **Patchflows**: LLM-assisted automations such as PR reviews, code fixing, documentation etc. built by combining steps and prompts. | ||
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| Patchflows can be run locally in your CLI and IDE, or as part of your CI/CD pipeline. There are [several patchflows available](#patchflows) out of the box, and you can always [create your own](#contributing). | ||
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| ## Demo | ||
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| [](https://youtu.be/MLyn6B3bFMU) | ||
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| ## Installation | ||
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| ### Using Pip | ||
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| Patchwork is available on PyPI and can be installed using pip: | ||
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| ```bash | ||
| pip install 'patchwork-cli[all]' --upgrade | ||
| ``` | ||
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| The following optional dependency groups are available. | ||
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| - `security`: Installs `semgrep` and `depscan` with `pip install 'patchwork-cli[security]'` and is required for **AutoFix** and **DependencyUpgrade** patchflows. | ||
| - `rag`: Installs `chromadb` with `pip install 'patchwork-cli[rag]'` and is required for the **ResolveIssue** patchflow. | ||
| - `notifications`: Used by steps sending notifications, e.g. slack messages. | ||
| - `all`: installs everything. | ||
| - Not specifying any dependency group (`pip install patchwork-cli`) will install a core set of dependencies that are sufficient to run the **GenerateDocstring**, **PRReview** and **GenerateREADME** patchflows. | ||
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| ### Using Poetry | ||
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| If you'd like to build from source using poetry, please see detailed documentation [here](INSTALL.md) . | ||
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| ## Patchwork CLI | ||
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| The CLI runs Patchflows, as follows: | ||
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| ``` | ||
| patchwork <PatchFlow> <?Arguments> | ||
| ``` | ||
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| Where | ||
| - **Arguments**: Allow for overriding default/optional attributes of the Patchflow in the format of `key=value`. If `key` does not have any value, it is considered a boolean `True` flag. | ||
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| ### Example | ||
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| For an AutoFix patchflow which patches vulnerabilities based on a scan using Semgrep: | ||
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| ```bash | ||
| patchwork AutoFix openai_api_key=<YOUR_OPENAI_API_KEY> github_api_key=<YOUR_GITHUB_TOKEN> | ||
| ``` | ||
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| The above command defaults to patching code in the current directory by running Semgrep to identify the vulnerabilities. You can view the `default.yml` [file](patchwork/patchflows/AutoFix/defaults.yml) for the list of configurations you can set to manage the AutoFix patchflow. For more details on how you can use a personal access token from GitHub on CLI, can read [this](https://docs.github.com/en/authentication/keeping-your-account-and-data-secure/managing-your-personal-access-tokens#using-a-personal-access-token-on-the-command-line). | ||
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| You can replace the OpenAI key with a key from our managed service | ||
| by signing in at [https://app.patched.codes/signin](https://app.patched.codes/signin) and generating an API key from the integrations tab. You can then call the patchflow with the key as follows: | ||
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| ```bash | ||
| patchwork AutoFix patched_api_key=<YOUR_PATCHED_API_KEY> github_api_key=<YOUR_GITHUB_TOKEN> | ||
| ``` | ||
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| To use Google's models you can set the `google_api_key` and `model`, this is useful if you want to work with large contexts as the `gemini-pro-1.5` model supports an input context length of 1 million tokens. | ||
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| The [patchwork-template](https://github.com/patched-codes/patchwork-configs) repository contains the default configuration and prompts for all the patchflows. You can clone that repo and pass it as a flag to the CLI: | ||
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| ```bash | ||
| patchwork AutoFix --config /path/to/patchwork-configs/patchflows | ||
| ``` | ||
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| ## Using open source models | ||
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| Patchwork supports any OpenAI compatible endpoint, allowing use of any LLM from various providers like Groq, Together AI, or Hugging Face. | ||
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| E.g. to use Llama 3.1 405B from Groq.com run: | ||
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| ``` | ||
| patchwork AutoFix client_base_url=https://api.groq.com/openai/v1 openai_api_key=your_groq_key model=llama-3.1-405b-reasoning | ||
| ``` | ||
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| You can also use a config file to do the same. To use Llama 3.1 405B from Hugging Face, create a config.yml file: | ||
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| ```yaml | ||
| openai_api_key: your_hf_token | ||
| client_base_url: https://api-inference.huggingface.co/models/meta-llama/Meta-Llama-3.1-405B-Instruct-FP8/v1 | ||
| model: Meta-Llama-3.1-405B-Instruct-FP8 | ||
| ``` | ||
| And run as: | ||
| ``` | ||
| patchwork AutoFix --config=/path/to/config.yml | ||
| ``` | ||
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| This allows you to run local models via `llama.cpp`, `ollama`, `vllm` or `tgi`. For instance, you can run Llama 3.1 8B locally using `llama_cpp.server`: | ||
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| ``` | ||
| python -m llama_cpp.server --hf_model_repo_id bullerwins/Meta-Llama-3.1-8B-Instruct-GGUF --model 'Meta-Llama-3.1-8B-Instruct-Q4_K_M.gguf' --chat_format chatml | ||
| ``` | ||
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| Then run your patchflow: | ||
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| ``` | ||
| patchwork AutoFix client_base_url=http://localhost:8080/v1 openai_api_key=no_key_local_model | ||
| ``` | ||
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| ## Patchflows | ||
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| Patchwork comes with predefined patchflows, with more added over time. Sample patchflows include: | ||
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| - [**GenerateDocstring**](patchwork/patchflows/GenerateDocstring): Generate docstrings for methods in your code. | ||
| - [**AutoFix**](patchwork/patchflows/AutoFix): Generate and apply fixes to code vulnerabilities in a repository. | ||
| - [**PRReview**](patchwork/patchflows/PRReview): On PR creation, extract code diff, summarize changes, and comment on PR. | ||
| - [**GenerateREADME**](patchwork/patchflows/GenerateREADME): Create a README markdown file for a given folder, to add documentation to your repository. | ||
| - [**DependencyUpgrade**](patchwork/patchflows/DependencyUpgrade): Update your dependencies from vulnerable to fixed versions. | ||
| - [**ResolveIssue**](patchwork/patchflows/ResolveIssue): Identify the files in your repository that need to be updated to resolve an issue (or bug) and create a PR to fix it. | ||
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| ## Prompt Templates | ||
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| Prompt templates are used by patchflows and passed as queries to LLMs. Templates contain prompts with placeholder variables enclosed by `{{}}` which are replaced by the data from the steps or inputs on every run. | ||
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| Below is a sample prompt template: | ||
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| ```json | ||
| { | ||
| "id": "diffreview_summary", | ||
| "prompts": [ | ||
| { | ||
| "role": "user", | ||
| "content": "Summarize the following code change descriptions in 1 paragraph. {{diffreviews}}" | ||
| } | ||
| ] | ||
| } | ||
| ``` | ||
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| Each patchflow comes with an optimized default prompt template. But you can specify your own using the `prompt_template_file=/path/to/prompt/template/file` option. | ||
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| ## Contributing | ||
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| Contributions for new patchflows and steps, or to the core framework are welcome. Please look at open issues for details. | ||
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| - To create a new patchflow, follow [these instructions](patchwork/patchflows/README.md). | ||
| - To create a new step, follow [these instructions](patchwork/steps/README.md). | ||
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| We also provide a chat assistant to help you create new steps and patchflows easily. | ||
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| - [Patchwork Assistant on HuggingChat](https://hf.co/chat/assistant/66322701fd4787e0c1f7696b) (based on Llama-3.1) | ||
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| ## Roadmap | ||
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| ### Short Term | ||
| - Expand patchflow library and integration options | ||
| - Patchflow debugger and validation module | ||
| - Bug fixing and performance improvements | ||
| - Refactor code and documentation | ||
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| ### Long Term | ||
| - Support large-scale code embeddings in patchflows | ||
| - Support parallelization and branching | ||
| - Fine-tuned models that can be self-hosted | ||
| - Open-source GUI | ||
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| ## License | ||
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| Patchwork is licensed under [AGPL-3.0 terms](https://github.com/patched-codes/patchwork?tab=AGPL-3.0-1-ov-file#readme). However, custom patchflows and steps can be created and shared using the [patchwork template](https://github.com/patched-codes/patchwork-configs) repository which is licensed under [Apache-2.0 terms](https://github.com/patched-codes/patchwork-configs/blob/main/LICENSE). | ||
| ## Table of Contents | ||
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| This code snippet does not contain any code to summarize. Please provide the code you would like to document. |