ReMe/reme/memory/vector_based
jinli.yl fa249a3e38 feat(components): add Anthropic LLM support and enhance component architecture
- Integrate AnthropicChatModel with new AnthropicAsLLM component
- Add component formatters for OpenAI and Anthropic chat models
- Implement token counter component with estimated token counting
- Create base client component for ReMe service communication
- Refactor BaseComponent to remove app_context parameter from _start/_close
- Update embedding model base class to remove retry logic and use npz cache
- Add job component for sequential step execution with BaseJob
- Implement step component base class for LLM workflow execution
- Enhance application context with proper type annotations
- Update component initialization to pass app_context automatically
- Remove asyncio dependency from embedding model cache operations
2026-04-23 14:18:57 +08:00
..
personal feat(components): add Anthropic LLM support and enhance component architecture 2026-04-23 14:18:57 +08:00
procedural refactor(memory): restructure tool and procedural memory agents with enhanced capabilities 2026-02-27 16:17:22 +08:00
tool_call refactor(memory): restructure tool and procedural memory agents with enhanced capabilities 2026-02-27 16:17:22 +08:00
__init__.py refactor(memory): restructure tool and procedural memory agents with enhanced capabilities 2026-02-27 16:17:22 +08:00
base_memory_agent.py refactor(core): restructure module organization and enhance error handling 2026-02-26 15:34:36 +08:00
reme_retriever.py refactor(core): restructure application initialization and service context 2026-02-26 17:56:59 +08:00
reme_retriever.yaml refactor(core): restructure module organization and enhance error handling 2026-02-26 15:34:36 +08:00
reme_summarizer.py refactor(core): restructure application initialization and service context 2026-02-26 17:56:59 +08:00
reme_summarizer.yaml refactor(core): restructure module organization and enhance error handling 2026-02-26 15:34:36 +08:00