chore: Optimize the input data sent to the OpenAI API to reduce token usage and improve decision quality. Add quick responses for common pilot utterances like radio checks and emergencies to avoid unnecessary LLM calls.
The key changes are:
- Use a smaller LLM model (`gpt-5-nano`) to reduce token usage
- Optimize the input data by only sending relevant candidate and context information
- Implement quick responses for common pilot utterances like radio checks and emergencies
- Ensure ATC responses are only included when necessary to reduce token usage
