The following section outlines the directory structure and file types within the user project. The root folder of these files and folders are at /automl.
⚠️ Note: The /automl directory stores conversation logs and artifacts that define your session history. While these files are accessible, users should treat this directory as read-only and avoid modifying its contents to ensure data integrity and proper functionality of AutoML Assistant.
Cached Data Index (cache/weaviate/)
Type: Tarball / Dataset
Description: Compressed Weaviate vector database indices used for high-performance semantic search across the metadata of datasets.
Cached Dataset Lexical Strand (cache/surrealdb/datasets/)
Type: Tarball / Dataset
Description: Lexical and relational metadata for specific datasets stored in SurrealDB format to support structured queries.
Cached Cohort Lexical Strand (cache/surrealdb/cohorts/)
Type: Tarball / Cohort
Description: Specific relational data and indices for defined patient or sample cohorts.
User Profile Directory (users/user-[id]/)
Type: Directory / User
Description: The root container for all user-specific settings, preferences, and session history.
Settings (settings.record)
Type: Record / User
Description: A binary or structured record file containing user-specific application preferences and interface configurations.
Conversation-User Links (conversations-v2.record)
Type: Record / User
Description: A mapping file that associates specific conversation IDs with the user's profile, used for populating the user's chat history list.
The below folders and data are under the users/user-[id]/ folder
Type: Directory / Conversation
Description: A dedicated workspace for a single AI interaction session, containing all logs, plans, and generated artifacts.
Type: Record / Conversation
Description: Segmented log files (chunks) containing the actual dialogue exchange between the user and the AI.
Type: Record / Conversation
Description: Metadata linking generated files or datasets to the specific point in the conversation where they were created.
Type: File / Artifact
Description: The actual output files generated by the system during a session. The file format depends on the type of artifact:
Dataframe artifact: .parquet (Parquet tables)
Notebook artifact: .ipynb (Jupyter Notebooks)
Model artifact: .pkl (Pickled objects of a scikit-learn Estimator)
Chart artifact: .png (PNG images)
Type: Record / Conversation
Description: A record of the execution steps or "thought process" the agent intended to follow to fulfill user requests.
Type: File / Conversation
Description: A plaintext execution log used for debugging and tracking backend system calls during the conversation.
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