types

name	types
description	Reference for Splitrail's core data types. Use when working with ConversationMessage, Stats, DailyStats, or other type definitions.

Key Types

Read src/types.rs for full definitions.

Core Types

• ConversationMessage - Normalized message format across all analyzers. Contains application source, timestamp, hashes for deduplication, model info, token/cost stats, and role.

• Stats - Comprehensive usage metrics for a single message including token counts, costs, file operations, todo tracking, and composition stats by file type.

• DailyStats - Pre-aggregated stats per date with message counts, conversation counts, model breakdown, and embedded Stats.

• Application - Enum identifying which AI coding tool a message came from.

• MessageRole - User or Assistant.

Hashing Strategy

• local_hash: Deduplication within a single analyzer
• global_hash: Deduplication on upload to Splitrail Cloud

Aggregation

Use crate::utils::aggregate_by_date() to group messages into daily stats. See src/utils.rs.