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