clawdbot/docs/reference/session-management-compaction.md

---
summary: "Deep dive: session store + transcripts, lifecycle, and (auto)compaction internals"
read_when:
  - You need to debug session ids, transcript JSONL, or sessions.json fields
  - You are changing auto-compaction behavior or adding “pre-compaction” housekeeping
  - You want to implement memory flushes or silent system turns
---
# Session Management & Compaction (Deep Dive)

This document explains how Clawdbot manages sessions end-to-end:

- **Session routing** (how inbound messages map to a `sessionKey`)
- **Session store** (`sessions.json`) and what it tracks
- **Transcript persistence** (`*.jsonl`) and its structure
- **Context limits** (context window vs tracked tokens)
- **Compaction** (manual + auto-compaction) and where to hook pre-compaction work
- **Silent housekeeping** (e.g. memory writes that shouldn’t produce user-visible output)

If you want a higher-level overview first, start with:
- [/concepts/session](/concepts/session)
- [/concepts/compaction](/concepts/compaction)
- [/concepts/session-pruning](/concepts/session-pruning)

---

## Source of truth: the Gateway

Clawdbot is designed around a single **Gateway process** that owns session state.

- UIs (macOS app, web Control UI, TUI) should query the Gateway for session lists and token counts.
- In remote mode, session files are on the remote host; “checking your local Mac files” won’t reflect what the Gateway is using.

---

## Two persistence layers

Clawdbot persists sessions in two layers:

1) **Session store (`sessions.json`)**
   - Key/value map: `sessionKey -> SessionEntry`
   - Small, mutable, safe to edit (or delete entries)
   - Tracks session metadata (current session id, last activity, toggles, token counters, etc.)

2) **Transcript (`<sessionId>.jsonl`)**
   - Append-only transcript with tree structure (entries have `id` + `parentId`)
   - Stores the actual conversation + tool calls + compaction summaries
   - Used to rebuild the model context for future turns

---

## On-disk locations

Per agent, on the Gateway host:

- Store: `~/.clawdbot/agents/<agentId>/sessions/sessions.json`
- Transcripts: `~/.clawdbot/agents/<agentId>/sessions/<sessionId>.jsonl`
  - Telegram topic sessions: `.../<sessionId>-topic-<threadId>.jsonl`

Clawdbot resolves these via `src/config/sessions.ts`.

---

## Session keys (`sessionKey`)

A `sessionKey` identifies *which conversation bucket* you’re in (routing + isolation).

Common patterns:

- Main/direct chat (per agent): `agent:<agentId>:<mainKey>` (default `main`)
- Group: `agent:<agentId>:<provider>:group:<id>`
- Room/channel (Discord/Slack): `agent:<agentId>:<provider>:channel:<id>` or `...:room:<id>`
- Cron: `cron:<job.id>`
- Webhook: `hook:<uuid>` (unless overridden)

The canonical rules are documented at [/concepts/session](/concepts/session).

---

## Session ids (`sessionId`)

Each `sessionKey` points at a current `sessionId` (the transcript file that continues the conversation).

Rules of thumb:
- **Reset** (`/new`, `/reset`) creates a new `sessionId` for that `sessionKey`.
- **Idle expiry** (`session.idleMinutes`) creates a new `sessionId` when a message arrives after the idle window.

Implementation detail: the decision happens in `initSessionState()` in `src/auto-reply/reply/session.ts`.

---

## Session store schema (`sessions.json`)

The store’s value type is `SessionEntry` in `src/config/sessions.ts`.

Key fields (not exhaustive):

- `sessionId`: current transcript id (filename is derived from this unless `sessionFile` is set)
- `updatedAt`: last activity timestamp
- `sessionFile`: optional explicit transcript path override
- `chatType`: `direct | group | room` (helps UIs and send policy)
- `provider`, `subject`, `room`, `space`, `displayName`: metadata for group/channel labeling
- Toggles:
  - `thinkingLevel`, `verboseLevel`, `reasoningLevel`, `elevatedLevel`
  - `sendPolicy` (per-session override)
- Model selection:
  - `providerOverride`, `modelOverride`, `authProfileOverride`
- Token counters (best-effort / provider-dependent):
  - `inputTokens`, `outputTokens`, `totalTokens`, `contextTokens`
- `compactionCount`: how often auto-compaction completed for this session key

The store is safe to edit, but the Gateway is the authority: it may rewrite or rehydrate entries as sessions run.

---

## Transcript structure (`*.jsonl`)

Transcripts are managed by `@mariozechner/pi-coding-agent`’s `SessionManager`.

The file is JSONL:
- First line: session header (`type: "session"`, includes `id`, `cwd`, `timestamp`, optional `parentSession`)
- Then: session entries with `id` + `parentId` (tree)

Notable entry types:
- `message`: user/assistant/toolResult messages
- `custom_message`: extension-injected messages that *do* enter model context (can be hidden from UI)
- `custom`: extension state that does *not* enter model context
- `compaction`: persisted compaction summary with `firstKeptEntryId` and `tokensBefore`
- `branch_summary`: persisted summary when navigating a tree branch

Clawdbot intentionally does **not** “fix up” transcripts; the Gateway uses `SessionManager` to read/write them.

---

## Context windows vs tracked tokens

Two different concepts matter:

1) **Model context window**: hard cap per model (tokens visible to the model)
2) **Session store counters**: rolling stats written into `sessions.json` (used for /status and dashboards)

If you’re tuning limits:
- The context window comes from the model catalog (and can be overridden via config).
- `contextTokens` in the store is a runtime estimate/reporting value; don’t treat it as a strict guarantee.

For more, see [/token-use](/token-use).

---

## Compaction: what it is

Compaction summarizes older conversation into a persisted `compaction` entry in the transcript and keeps recent messages intact.

After compaction, future turns see:
- The compaction summary
- Messages after `firstKeptEntryId`

Compaction is **persistent** (unlike session pruning). See [/concepts/session-pruning](/concepts/session-pruning).

---

## When auto-compaction happens (Pi runtime)

In the embedded Pi agent, auto-compaction triggers in two cases:

1) **Overflow recovery**: the model returns a context overflow error → compact → retry.
2) **Threshold maintenance**: after a successful turn, when:

`contextTokens > contextWindow - reserveTokens`

Where:
- `contextWindow` is the model’s context window
- `reserveTokens` is headroom reserved for prompts + the next model output

These are Pi runtime semantics (Clawdbot consumes the events, but Pi decides when to compact).

---

## Compaction settings (`reserveTokens`, `keepRecentTokens`)

Pi’s compaction settings live in Pi settings:

```json5
{
  compaction: {
    enabled: true,
    reserveTokens: 16384,
    keepRecentTokens: 20000
  }
}
```

Clawdbot also enforces a safety floor for embedded runs:

- If `compaction.reserveTokens < 20000`, Clawdbot bumps it to 20000.
- If it’s already higher, Clawdbot leaves it alone.

Why: leave enough headroom for multi-turn “housekeeping” (like memory writes) before compaction becomes unavoidable.

Implementation: `ensurePiCompactionReserveTokens()` in `src/agents/pi-settings.ts` (called from `src/agents/pi-embedded-runner.ts`).

---

## User-visible surfaces

You can observe compaction and session state via:

- `/status` (in any chat session)
- `clawdbot status` (CLI)
- `clawdbot sessions` / `sessions --json`
- Verbose mode: `🧹 Auto-compaction complete` + compaction count

---

## Silent housekeeping (`NO_REPLY`)

Clawdbot supports “silent” turns for background tasks where the user should not see intermediate output.

Convention:
- The assistant starts its output with `NO_REPLY` to indicate “do not deliver a reply to the user”.
- Clawdbot strips/suppresses this in the delivery layer.

As of `2026.1.10`, Clawdbot also suppresses **draft/typing streaming** when a partial chunk begins with `NO_REPLY`, so silent operations don’t leak partial output mid-turn.

---

## Pre-compaction “memory flush” (design)

Goal: before auto-compaction happens, run a short sequence of turns that writes durable state to disk (e.g. `memory/YYYY-MM-DD.md` in the agent workspace) so compaction can’t erase critical context.

Two viable hooks:

1) **Pre-threshold flush (Clawdbot-side)**
   - Monitor session context usage.
   - When it crosses a “soft threshold” (below Pi’s real compaction threshold), enqueue a silent “write memory now” directive to the agent.
   - Use `NO_REPLY` so the user sees nothing.

2) **Pi extension hook (`session_before_compact`)**
   - Pi’s extension API exposes a `session_before_compact` event that receives compaction preparation details and can cancel or replace compaction.
   - Clawdbot can ship an extension that reacts here and performs housekeeping (and/or produces a custom compaction result).

Clawdbot currently documents the *concept* of daily memory in the workspace template (see [/concepts/agent-workspace](/concepts/agent-workspace)) but does not yet ship an automated pre-compaction flush loop.

---

## Troubleshooting checklist

- Session key wrong? Start with [/concepts/session](/concepts/session) and confirm the `sessionKey` in `/status`.
- Store vs transcript mismatch? Confirm the Gateway host and the store path from `clawdbot status`.
- Compaction spam? Check:
  - model context window (too small)
  - compaction settings (`reserveTokens` too high for the model window can cause earlier compaction)
  - tool-result bloat: enable/tune session pruning
- Silent turns leaking? Confirm the reply starts with `NO_REPLY` (exact token) and you’re on a build that includes the streaming suppression fix.