Roland Tannous 2fc50ff0cf refactor: advisor maps columns to roles instead of generating templates ... The advisor now only assigns columns to user/assistant roles and generates a system prompt. Templates (user_template, assistant_template) are removed entirely — the LLM was frequently putting all columns in user or copying actual data values into templates. Column values are now used directly as message content, grouped and concatenated by role. This is simpler, more robust, and prevents the class of bugs where the advisor generates bad template content.		2026-03-10 17:17:27 +00:00
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__init__.py	feat: add ShareGPT+image VLM format support and improve image column detection	2026-03-10 01:27:36 +00:00
chat_templates.py	Add AGPL-3.0 SPDX headers to all source files	2026-03-09 20:17:45 +00:00
data_collators.py	Add AGPL-3.0 SPDX headers to all source files	2026-03-09 20:17:45 +00:00
dataset_utils.py	refactor: advisor maps columns to roles instead of generating templates	2026-03-10 17:17:27 +00:00
format_conversion.py	feat: add LLM-assisted dataset detection using ephemeral GGUF helper	2026-03-10 09:20:45 +00:00
format_detection.py	fix: probe image column candidates when multiple exist	2026-03-10 01:38:33 +00:00
llm_assist.py	refactor: advisor maps columns to roles instead of generating templates	2026-03-10 17:17:27 +00:00
model_mappings.py	Add AGPL-3.0 SPDX headers to all source files	2026-03-09 20:17:45 +00:00
vlm_processing.py	debug: switch to print() for subprocess visibility	2026-03-10 12:49:01 +00:00