jinli.yl af52c0cc04 feat(embedding): add embedding model framework with OpenAI implementation ... - Create BaseEmbeddingModel abstract class with async/sync interfaces - Implement OpenAIEmbeddingModel for asynchronous operations - Implement OpenAIEmbeddingModelSync for synchronous operations - Add automatic batching and retry logic for embedding operations - Add VectorNode embedding functionality for content indexing - Update type hints in LLM modules to use generic list instead of List - Refactor LiteLLMSync class documentation and type annotations - Add comprehensive async and sync unit tests for embedding models - Add unit tests for BaseContext attribute access patterns		2025-12-31 11:00:57 +08:00
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__init__.py	feat(embedding): add embedding model framework with OpenAI implementation	2025-12-31 11:00:57 +08:00
base_embedding_model.py	feat(embedding): add embedding model framework with OpenAI implementation	2025-12-31 11:00:57 +08:00
openai_embedding_model.py	feat(embedding): add embedding model framework with OpenAI implementation	2025-12-31 11:00:57 +08:00
openai_embedding_model_sync.py	feat(embedding): add embedding model framework with OpenAI implementation	2025-12-31 11:00:57 +08:00