jinli.yl 4b5fb37b6a feat(core): add core components and architecture for ReMe CLI ... - Implement BaseComponent with async lifecycle and context management - Add ApplicationContext for managing component initialization and registry - Create Application class for orchestrating job execution and lifecycle - Add AS LLM components with OpenAI chat model wrapper - Implement AS LLM formatter components with OpenAI formatter - Add client implementations including base, HTTP and ReMe clients - Create embedding model base class with caching and batching support - Implement file store base class with vector and full-text search - Add file watcher components for monitoring file system changes - Create job components for executing workflows - Implement service components for exposing jobs via different protocols - Add configuration schema with ApplicationConfig and ComponentConfig - Include utility modules for case conversion, chunking, logging and similarity - Register component types and create component registry system		2026-04-13 23:51:59 +08:00
..
__init__.py	feat(core): add core components and architecture for ReMe CLI	2026-04-13 23:51:59 +08:00
base_embedding_model.py	feat(core): add core components and architecture for ReMe CLI	2026-04-13 23:51:59 +08:00
openai_embedding_model.py	feat(core): add core components and architecture for ReMe CLI	2026-04-13 23:51:59 +08:00