Daniele 0958264c6f feat(dashboard): LLM stats answer who/what spends tokens — member scope chips and spend breakdowns ...

The stats section was designed single-user: four global charts, no
attribution. Request metadata rows now carry the session's source and
the frame's agent_id/depth (additive ensure_column), denormalized at log
time by the LoggingModel from the owner's pool — off the turn's hot
path, degrading to NULLs, never to a lost row.

The dashboard gains member scope chips filtering every chart, and a
breakdown row splitting the range's billed tokens by member, kind
(chat / sub-agents / cron / system agents / channels), agent, model and
provider — a sub-agent's spend is attributed to the sub-agent itself.
Rows predating the columns group under 'older data'.

2026-09-10 14:03:22 +01:00

..

src

feat(dashboard): LLM stats answer who/what spends tokens — member scope chips and spend breakdowns

2026-09-10 14:03:22 +01:00

Cargo.toml

agent-loop: Skald adapters behind the crate traits (phase 1)

2026-07-26 07:15:36 +01:00