Keep long Pi sessions flowing with automatic server-side compaction inside ordinary OpenAI Responses requests. The server can emit an encrypted checkpoint and continue inference without Pi stopping for a separate summary request.

On by default for eligible public openai GPT-5/GPT-6 requests.
Uses your existing ChatGPT subscription login or API-key authentication without changing providers, models, credentials, or billing mode.
Preserves Pi's effective tools, streamed text, tool continuations, and Fast tier.
Saves checkpoints on the session branch for reload and continuation.
Keeps /server-compaction off, manual /compact, and Pi's standard compactor as recovery options.

Requires Pi 1.1.0 or later. The package name is unchanged, but the legacy openai-codex provider is no longer supported.

Installation

pi install npm:pi-codex-compaction

For local development:

pi install /path/to/pi-mono/packages/pi-codex-compaction

Or load it for one run:

pi -e /path/to/pi-mono/packages/pi-codex-compaction

Select a GPT-5/GPT-6 model on provider openai, API openai-responses, at https://api.openai.com/v1. No enable command is needed. A previously saved off setting on the current session branch remains respected.

Load this package after extensions that transform provider requests. Pi orders handlers by extension load order. The compatibility guard cannot prevent a later extension from adding incompatible fields.

Controls and thresholds

/server-compaction status
/server-compaction off
/server-compaction on
/server-compaction on 100000

Commands persist the mode and optional token threshold on the current session branch, not in global or project settings. on without a number uses the startup threshold, or the default when none was supplied.

--server-compaction defaults to true. --server-compaction-threshold 100000 supplies a startup threshold. Saved command settings take precedence.

The default threshold is 60% of Pi's local trigger (contextWindow - reserveTokens), including per-model reserve overrides. This is a headroom heuristic, not an OpenAI-prescribed optimal threshold. Explicit thresholds must be integers of at least 1,000 and below Pi's local trigger. Invalid or too-late thresholds leave ordinary inference unchanged.

Very small thresholds can compact repeatedly within one response and increase latency and token use. Do not use the 1,000-token protocol-test threshold for ordinary long sessions.

How continuation works

The extension adds context_management: [{ type: "compaction", compact_threshold: ... }], store: false, and stream: true to eligible ordinary requests. It does not construct a separate compaction request or reconstruct tool declarations. Pi's actual request retains grammar tools, hidden loadouts, reasoning options, Fast settings, and declarations carried through additional_tools.

Text streams normally. After successful completion, the extension commits a Pi compaction entry at turn_end, before the next assistant response. It stores the latest encrypted checkpoint and the exact provider output following it. On subsequent requests, it replaces the readable fallback and the retained assistant's serialized items with that checkpoint and output suffix. Later tool results and messages remain.

The original transcript stays in the session file. Reload and tree navigation use the selected branch, not a global cache. Turning the mode off stops requesting new checkpoints but still replays a compatible saved checkpoint while the extension remains loaded.

Successful adoption avoids a separate Pi compaction lifecycle, including between tool continuations. It does not promise zero server-side delay or concurrent inference during the server's compaction pass. It does not set background: true.

Support and recovery

Authentication stays with Pi: /login openai with Sign in with ChatGPT uses plan quota; an OpenAI API key uses separate API billing. Neither path falls back to the other. This is automatic context_management in ordinary /responses, not the standalone /responses/compact API or the removed private RemoteCompactionV2 protocol.

Route	Behavior
`openai` + `openai-responses`, official endpoint, GPT-5/GPT-6	Automatic compaction on by default; server/model availability still applies
Same route with ChatGPT sign-in	Live checkpoint/replay verified with `gpt-6-astra`
Same route with an API key	Mocked contract coverage; no live billing test
Legacy `openai-codex`, custom endpoints, other providers, routed model mismatch	Left unchanged; no compaction or auth hooks for those routes

Virtual-model selections are also ineligible, including when their physical dispatch returns to the same public OpenAI model. Pi 1.1.0 request hooks expose the selected virtual model, not a complete physical request/auth identity. Existing checkpoints use their bounded readable fallback rather than opaque replay. Pi's ordinary routed context-limit checks and standard compaction remain available; no checkpoint identity is inferred from the payload's model name.

GPT-6.1 Sol matches the GPT-6 candidate guard, but the existing live replay evidence is Astra-only. Model eligibility is not proof of account availability. No default model is changed. See the provider migration assessment for the separate reasoning-update limitation.

Requests with configuration_update, compaction_trigger, an existing context_management, stateful continuation, truncation, background processing, or enabled multi-agent mode are not opted in.
Keep Pi's normal automatic compaction enabled. If no checkpoint is adopted, its normal threshold and overflow recovery remain available. Manual /compact, including custom instructions, uses Pi's standard summarizer.
Failed, cancelled, malformed, oversized, or unsupported output does not replace history. An unsuccessful automatic attempt pauses new automatic requests until /server-compaction on or session reload. The extension does not issue an extra paid retry or switch credentials; Pi owns its own retries.
Adoption supports reasoning, single-text assistant messages, function/custom calls, and compaction items. Other output shapes leave history intact.
Replay requires the same model, endpoint, auth mode, credential and relevant headers. Credential rotation, including OAuth refresh, conservatively uses the readable excerpt rather than an unverified checkpoint.
Edits or transforms of the retained assistant prevent stale raw replay. The fallback is a bounded excerpt, not a complete summary. Edits to history already compacted cannot retroactively change an opaque checkpoint.
Pi cannot measure the opaque checkpoint's token footprint natively. Local context estimates are not exact server-context measurements.
Cache warming is stopped only when the last ordinary request actually enabled automatic compaction. Turning the toggle off does not make an already-cached automatic request safe to replay; a new ordinary non-automatic request clears that restriction. Unrelated providers retain their normal warming behavior.
Usage stays on the ordinary assistant response and is counted once. Bounded success diagnostics stay local; they contain timing and size counters, not conversation content.

Migration from the legacy provider

Legacy RemoteCompactionV2 requests, chatgpt.com/backend-api transport, beta headers, the temporary pi-ai/compat serializer, old transport helper exports, and the pi-codex-compaction:tools:v1 / :request:v1 event-bus contracts have been removed. Fast and grammar integrations now use the ordinary Pi pipeline.

Existing legacy session files are not modified or deleted. Old encrypted checkpoints are not migrated or replayed across providers; their readable fallback remains available. Use compatible package versions together. pi-fast and pi-codex-tools still support their own legacy-provider use cases; this change removes only their obsolete direct-compaction adapters.

pi-openai-reasoning remains a legacy-provider-only extension. This package does not migrate it or enable its reasoning-update feature on the public route. Automatic compaction and histories containing configuration_update are incompatible in the public API.

Validation and measured results

Tests use real Pi sessions with mocked transport to cover effective loadouts, streaming, tool continuations, checkpoint ordering, branches, reloads, cancellation, credential changes, context edits, default-on behavior, and the standard compaction safety net.

A small live subscription test with gpt-6-astra verified checkpoint adoption, replay, and synthetic fact recall. At a deliberately low 1,000-token threshold, automatic mode used two requests versus four for standard Pi. The first answer completed sooner, but overall elapsed time and reported token use were higher. That protocol test did not measure long-session streaming continuity and does not establish cost or latency savings.

In a checkout, tests/AUTOMATIC_BENCHMARK.md contains the measurements, limits, and Codex source comparison. tests/benchmark-automatic.mjs is an explicitly gated live test and is not run by npm test. Live testing requires approval to consume usage; use synthetic text, not private session history or images.

npm run -w packages/pi-codex-compaction check
npm test -w packages/pi-codex-compaction
npm run -w packages/pi-codex-compaction pack:dry-run

For an approved TUI smoke test, cross the configured threshold in a synthetic session, then check facts from earlier turns and a tool continuation. Check replay after /reload, mode-off, and branch navigation. Successful adoption should not start Pi's separate compaction lifecycle.

References:

Install telemetry is best-effort, once per version. Disable it with PI_OFFLINE=1, PI_TELEMETRY=0, or enableInstallTelemetry: false.