ReMe/reme
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
..
config refactor(file_io): update file I/O operations and truncation logic (#177) 2026-03-25 20:21:37 +08:00
core refactor(file_store): move sqlite3 imports inside initialization methods (#193) 2026-03-31 20:59:59 +08:00
extension feat(memory): replace memory formatter with AsMsgHandler for enhanced message processing 2026-03-06 16:29:52 +08:00
memory feat(components): add Anthropic LLM support and enhance component architecture 2026-04-23 14:18:57 +08:00
__init__.py fix(core): handle chromadb import error gracefully (#192) 2026-03-31 20:07:00 +08:00
reme.py fix: surface summarize/retrieve failures instead of masking them (#160) 2026-03-27 12:22:29 +08:00
reme_cli.py refactor(cli): using AgentScope components to reimplement the reme_cli logic (#153) 2026-03-12 11:23:36 +08:00
reme_light.py feat(compactor): add extra instruction support and improve error handing (#190) 2026-03-31 16:22:39 +08:00