---
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`.