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@apeira/session

v0.0.8

Published

Tree-shaped durable sessions for Apeira agents.

Readme

@apeira/session

Tree-shaped durable session history for Apeira agents.

Usage

import { createAgent, mem } from '@apeira/core'
import { createSession } from '@apeira/session'

const session = createSession({
  defaultRef: 'main',
  sessionStorage: mem(),
})

const agent = createAgent({
  // ...
  storage: session.storage,
})

session.sessionStorage contains the complete append-only log. session.storage is the active branch view used by core.

Agent state synchronization

Register session.plugin with an agent to keep agent.state in sync with the active branch whenever checkout(), fork() (with checkout), or rebase() changes the current head:

const agent = createAgent({
  // ...
  plugins: [session.plugin],
  storage: session.storage,
})

The plugin also broadcasts branch changes on the agent channel as session.checkout, session.fork, and session.rebase events with save: false, so other subscribers can react without persisting extra entries.

agent.subscribe('session.checkout', ({ ref, state, targetId }) => {
  // ...
})

Branches

await session.fork('experiment')
await session.checkout('main')
await session.rebase('experiment', 'main')

const input = await session.buildInput('experiment')
const state = await session.buildState('experiment')

Strings resolve as refs first, then entry ids. checkout() without a target creates a detached empty context.

Custom semantic entries

Every entry except lifecycle events and session control entries is a semantic branch node. Plugin-defined entries receive parentId, advance the active branch, and are preserved by path, rebase, and clone operations without session-specific configuration.

For example, @apeira/plugin-compact works directly with session storage:

const agent = createAgent({
  // ...
  plugins: [compact({ compactAgent: { runner: summaryRunner } })],
  storage: session.storage,
})

Session stores the compact entry as an ordinary semantic node. The plugin owns how that entry is projected into model context.