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49 lines
2.0 KiB
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49 lines
2.0 KiB
Markdown
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# Gitea AI Webhook Bot
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A webhook-based service that automatically generates AI code reviews for Gitea Pull Requests using [xai-review](https://github.com/Nikita-Filonov/ai-review).
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## Features
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* **Zero-config per repository**: Works via a single Gitea System Webhook (or per-repo webhook).
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* **Custom LLM Support**: Configuring it to use OpenAI, Ollama, vLLM, or any OpenAI-compatible endpoint.
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* **Secure**: Runs in an isolated Docker container with strict context passed via environment variables.
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## Deployment
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### Docker Compose
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Run the container using the provided `compose.yaml`.
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```bash
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docker compose up -d
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```
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### Configuration (Environment Variables)
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Create a `.env` file with the following variables:
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| Variable | Required | Description | Default |
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| :--- | :--- | :--- | :--- |
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| `GITEA_TOKEN` | **Yes** | A Gitea Access Token. Required permissions: `repository` (Read), `issue` (Read and Write). | |
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| `GITEA_API_URL` | No | Full URL to your Gitea API (e.g., `http://gitea:3000/api/v1`). | |
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| `OPENAI_API_KEY` | **Yes** | API Key for your LLM provider. Use `dummy` for local models if no auth needed. | |
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| `OPENAI_BASE_URL` | No | Base URL for the LLM API. Set this for Ollama/vLLM (e.g. `http://host.docker.internal:11434/v1/`). | `https://api.openai.com/v1/` |
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| `LLM_MODEL` | No | The model name to request (e.g. `gpt-4o`, `llama3.1`). | `gpt-4o` |
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| `LLM_TEMPERATURE` | No | The creativity of the model (0.0 - 1.0). | `0.2` |
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| `LLM_PROVIDER` | No | The XAI provider type. Use `OPENAI` for most compatible services. | `OPENAI` |
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#### Example `.env` (Ollama)
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```bash
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GITEA_TOKEN=da39a3ee5e6b4b0d3255bfef95601890afd80709
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OPENAI_API_KEY=dummy
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OPENAI_BASE_URL=http://host.docker.internal:11434/v1/
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LLM_MODEL=llama3.1
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```
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## Setup in Gitea
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1. Navigate to **Site Administration > Webhooks** (for all repos) OR **Repo Settings > Webhooks**.
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2. Add a **Gitea** webhook.
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3. **Target URL**: `http://<container-ip>:3000/webhook` (e.g., `http://gitea-ai-review:3000/webhook`).
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4. **HTTP Method**: `POST`.
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5. **Trigger On**: Custom Events -> **Pull Request**.
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