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https://github.com/agentscope-ai/ReMe.git
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dc8eab56a1
* refactor(core): replace text truncation utilities with new marker system - Remove old truncate_text_utils module and its exports - Replace TRUNCATION_MARKER_START with _TRUNCATION_NOTICE_MARKER constant - Update as_msg_stat.py to split content using new marker format - Modify FileIO tool to use TRUNCATION_NOTICE_MARKER for continuation hints - Change is_truncated function checks to use marker presence detection - Move transformers dependency from main deps to light extra dependencies - Update tool result compactor tests to verify marker instead of is_truncated calls * feat(file_io): enhance file operations with path resolution and append functionality - Add expanduser() to resolve file paths with ~ symbol - Implement proper file existence and type validation in update_file - Add new append_file method to append content to files - Update truncation notice format for better readability - Fix typo in error message from "provide" to "provided" - Update transformers dependency in pyproject.toml - Remove duplicate transformers dependency from light extras * refactor(file_io): disable pylint too-many-return-statements warning * perf(file_watcher): increase default polling delay and optimize watcher configuration - Increased default poll_delay_ms from 1000ms to 2000ms to reduce CPU usage - Removed force_polling parameter as it's no longer needed with updated polling strategy - Simplified async watch configuration by removing conditional force_polling logic - Reduced overall system resource consumption during file watching operations * refactor(memory): update conversation log documentation in memory summary - Changed "Raw conversation logs" to "Earlier conversation logs" for clarity - Added warning note about potentially large dialog file sizes - Improved formatting with additional line break for better readability - Maintained existing compressed summary integration unchanged * feat(memory): add long-term memory support to file-based memory system - Initialize _long_term_memory attribute as empty string - Add memories section to content when long-term memory exists - Consolidate summary and memories into single user message - Format memories with markdown header # Memories - Maintain existing compressed summary functionality - Join multiple content parts with double newlines |
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| .. | ||
| as_llm | ||
| as_llm_formatter | ||
| as_token_counter | ||
| embedding | ||
| enumeration | ||
| file_store | ||
| file_watcher | ||
| flow | ||
| llm | ||
| op | ||
| schema | ||
| service | ||
| token_counter | ||
| tools | ||
| utils | ||
| vector_store | ||
| __init__.py | ||
| application.py | ||
| base_dict.py | ||
| prompt_handler.py | ||
| registry_factory.py | ||
| runtime_context.py | ||
| service_context.py | ||