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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> | ||
## Summarize Code Contents | ||
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<div align="center"> | ||
This documentation provides a concise summary of the provided code. | ||
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[![Build](https://github.com/patched-codes/patchwork/actions/workflows/release.yml/badge.svg)](https://github.com/patched-codes/patchwork/actions/workflows/release.yml) | ||
[![Discord](https://dcbadge.limes.pink/api/server/XDxA3mJyhE?style=flat&theme=clean-inverted)](https://discord.gg/XDxA3mJyhE) | ||
[![Downloads](https://img.shields.io/pypi/v/patchwork-cli)](https://pypi.org/project/patchwork-cli/) | ||
[![Downloads](https://static.pepy.tech/badge/patchwork-cli)](https://pepy.tech/project/patchwork-cli) | ||
### Inputs | ||
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[Demo](https://youtu.be/MLyn6B3bFMU) | | ||
[Docs](https://docs.patched.codes/) | ||
* **Input 1:** Describe the first input of the code, including its type and purpose. | ||
* **Input 2:** Describe the second input, including its type and purpose. (Add more as needed.) | ||
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</div> | ||
### Outputs | ||
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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). | ||
* **Output 1:** Describe the first output of the code, including its type and purpose. | ||
* **Output 2:** Describe the second output, including its type and purpose. (Add more as needed.) | ||
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## Key Components | ||
### Usage | ||
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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. | ||
Describe how this code might be used in a broader context, including its intended purpose, expected use cases, and any potential limitations or caveats. | ||
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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). | ||
### Example | ||
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## Demo | ||
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[![Patchwork CLI Quickstart](https://img.youtube.com/vi/3gRpqQoIino/0.jpg)](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). | ||
Provide a code snippet or example demonstrating how the code can be used. | ||
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This summary serves as a quick overview of the code's function and potential applications. |