Files
AutoMetabuilder/backend/env_example
johndoe6345789 877ba64de8 Introduce AutoMetabuilder core components and workflow packages:
- Implement core components: CLI argument parsing, environment loading, GitHub service creation, and logging configuration.
- Add support for OpenAI client setup and model resolution.
- Develop SDLC context loader from GitHub and repository files.
- Implement workflow context and engine builders.
- Introduce major workflow packages: `game_tick_loop` and `contextual_iterative_loop`.
- Update localization files with new package descriptions and labels.
- Streamline web navigation by loading items from a dedicated JSON file.
2026-01-10 00:45:46 +00:00

14 lines
330 B
Plaintext

GITHUB_TOKEN=token123
GITHUB_REPOSITORY=owner/repo
PROMPT_PATH=prompt.yml
GITHUB_MODELS_ENDPOINT=https://models.github.ai/inference
APP_LANG=en # Supported: en, es, fr, nl, pirate
WEB_USER=admin
WEB_PASSWORD=password
LLM_MODEL=gpt-4o
# Optional Notifications
SLACK_BOT_TOKEN=
SLACK_CHANNEL=
DISCORD_BOT_TOKEN=
DISCORD_CHANNEL_ID=