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A session is one conversation with a coding agent — such as Claude Code or Codex — or requests grouped from a router such as OpenRouter. Terma rolls each session up with everything it did: turns, model calls, tool calls, token usage, cost, subagents, and the git activity it produced. Sessions are the unit attribution, usage, and the dashboard are built on.

How a session is identified

A session is identified by its session id together with its source system (claude-code, codex, opencode, and so on). The session id is the agent’s own id for the conversation, and it is the same value that appears in the Agent-Session-Id trailer on commits the session contributed to. Because ids are only unique within a source, Terma always keys a session by both.

How sessions are captured

Two channels feed a session, and Terma joins them on the session id:
  • The agent’s own telemetry export carries model calls with their token counts and cost, tool calls, and — when your team’s policy collects them — prompts, responses, and tool content.
  • Terma’s hooks record when a session starts and ends, which files it edits, the subagents it spawns, and your plan’s usage windows. Hooks append to a local queue and never wait for the network.
How much of each channel exists depends on the agent. See Integrations for what each one reports.

What a session contains

Events

Inside a session, Terma keeps an ordered event history you can replay in the dashboard: Content appears only when your team’s policy collects it.

Session totals versus usage over time

A session’s totals cover its whole life. The dashboard’s usage charts instead sum spend that settled inside a time window. A session that started yesterday and ran past midnight counts toward today’s usage only for the part that happened today, so the two views legitimately differ whenever a session straddles the window’s edge.

Reading sessions

Sessions are in the dashboard: the Sessions page lists them, and each one opens to a full replay.

Sessions in the dashboard

Browse sessions and replay their timelines in the web app.