Files
AutoMetabuilder/backend/autometabuilder/model_resolver.py
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

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248 B
Python

"""Resolve the LLM model name."""
import os
DEFAULT_MODEL = "openai/gpt-4o"
def resolve_model_name(prompt: dict) -> str:
"""Resolve model name from env or prompt."""
return os.environ.get("LLM_MODEL", prompt.get("model", DEFAULT_MODEL))