User's locale preference for internationalized responses and communication.
Specifies the language and cultural context for AI assistant responses, ensuring that communication throughout the vibe coding process is delivered in the user's preferred language. Common format follows ISO 639-1 language codes such as "en", "ko", "ja", "zh", etc.
Localization enhances the user experience by providing natural language communication that respects cultural conventions and linguistic preferences during the collaborative development process.
AI model type specification for type-safe function calling schemas.
Specifies the AI model type that determines the function calling schema
generation and optimization characteristics. This type parameter ensures
compile-time type safety and enables model-specific optimizations in the AI
function calling interface generation process through
typia.llm.application().
Different model types may have varying function calling capabilities, parameter limitations, and schema requirements that need to be accounted for during the vibe coding pipeline to ensure optimal AI performance and compatibility.
User's timezone for temporal context and scheduling considerations.
Provides timezone information for proper handling of time-sensitive operations, scheduling, and temporal context during the vibe coding process. Format typically follows IANA timezone identifiers such as "America/New_York", "Asia/Seoul", "Europe/London", etc.
Timezone awareness ensures that timestamps, scheduling references, and time-based communications are properly contextualized for the user's local time and cultural expectations.
AI vendor configuration for service provider integration.
Contains the complete IAutoBePlaygroundVendor configuration including model identifier, API authentication, and optional custom endpoints. This configuration enables the vibe coding system to connect with the specified AI service provider and utilize their capabilities throughout the automated development pipeline.
The vendor configuration determines which AI service will power the requirements analysis, database design, API specification, testing, and implementation phases of the vibe coding process.
Interface representing the WebSocket connection header for vibe coding sessions.
This interface defines the essential configuration and context information that must be provided when establishing a WebSocket connection to the vibe coding server. The header contains all necessary parameters for AI model configuration, vendor authentication, and user context that enables personalized and localized development experiences.
In TGrid's RPC paradigm, the header is delivered from client to server after connection establishment and is used to authenticate the client and configure the session parameters for optimal vibe coding performance based on user preferences and technical requirements.
Author
Samchon