Normalize OpenAI-style and LangChain standard image blocks into LangChain standard content blocks so provider block_translators auto-convert for either OpenAI or Anthropic. Flatten multimodal content to plain text when persisting history and computing term embeddings. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> |
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| .. | ||
| log_util | ||
| __init__.py | ||
| agent_pool.py | ||
| api_models.py | ||
| async_file_ops.py | ||
| cancel_manager.py | ||
| daytona_file_fetcher.py | ||
| daytona_sync.py | ||
| excel_csv_processor.py | ||
| fastapi_utils.py | ||
| file_manager.py | ||
| file_utils.py | ||
| multi_project_manager.py | ||
| settings.py | ||
| structured_log.py | ||
| system_optimizer.py | ||
| token_counter.py | ||