pi-codex-conversion

If you're expecting details about the code, you've come to the wrong place. Clone it and ask your Clanka.

Pi already runs GPT models. This extension gives them Codex-shaped tools and prompt handling, then adds voice, compaction and OpenAI controls without turning the provider request into a schema landfill.

For the argument and token numbers, read How I gave Pi 17 tools without loading 17 schemas. This README is for using the thing.

Install

pi install npm:@howaboua/pi-codex-conversion

Requires Pi 0.84.4 or newer and Node.js 22.19 or newer. Native helpers for macOS, Linux and Windows are bundled for x64 and arm64.

Open /codex after installation. The defaults give Codex-like GPT models the structured adapter and leave Code Mode, heavy prompt overwrite and native compaction opt-in. All of them are highly recommended, though. That's what I'm daily-driving and fine-tuning towards.

Contents

• What you get
• Modes
• Settings
• Context management
• Cache diagnostics
• Code Mode and custom tools
• Voice, dictation and GipPity
• Models and providers
• Migrating from Lite
• Troubleshooting

What you get

• Codex-shaped exec_command, write_stdin, apply_patch and view_image tools
• Code and Notebook modes that compose the active toolset behind exec
• foreground, background and interactive shell sessions with resumable output
• image descriptions for blind models
• realtime voice, push-to-dictate and the GipPity LAN remote mini WebUI
• OpenAI verbosity, fast mode, cached transport, usage, reset credits, context management and Responses compaction
• compact Pi-native rendering, status and background-shell controls

Pi keeps its sessions, project context, skills and UI. The model gets the dialect it already knows.

Install pi-codex-web-run or pi-codex-imagegen when you want Codex web search or image generation. They remain ordinary Pi extensions and automatically compose into Code and Notebook Mode.

Modes

Mode	Behaviour
Structured adapter	Replaces Pi's default file and shell tools with the Codex-shaped set. This is the default for Codex-like GPT models and configured providers.
Code Mode	Exposes exec and wait; shell, patch, image and extension tools compose locally inside exec.
Extra tools only	Adds individually selected apply_patch or view_image without replacing the active model's normal setup.
Voice only	Leaves the active model's prompt, tools, requests, compaction and adapter widgets untouched while retaining voice and dictation.

Structured mode has no separate text read, edit or write tool. The model inspects files through the shell and edits with apply_patch.

Provider scope can stay on Codex and configured, expand to all providers, or use extra tools only.

Settings

/codex opens the settings UI:

Tab	Covers
General	Settings scope, execution mode, context management, extension mode, providers and heavy prompt overwrite
Tools	Auto reasoning (Astra only), image description fallback and standalone tools
OpenAI	Fast mode, verbosity, transport, cache diagnostics, Responses Lite and compaction
Display	Statusline, tool rendering, Code Mode detail and background shells
Voice	LAN server, realtime behaviour, context summarisation, dictation, shortcuts and prompt paths
Usage	Codex limits, reset times and banked reset credits
About	GitHub, changelog, Discord and issue links

Open a tab directly with /codex tools, /codex openai, /codex display, /codex voice, /codex usage or /codex about.

Luna Reserve (gpt-reserve in backend usage) is a separate, limited allowance that OpenAI offers to eligible accounts after ordinary Codex quota runs out. After a quota failure, the extension switches only when the backend authorizes Reserve for your account and model, then asks you to send continue if you want to use Luna. It never retries on your behalf or redeems a reset credit. Your original model and reasoning level return on the next input after the backend confirms ordinary usage has recovered. Reserve stays out of the ordinary model picker; choosing another model ends automatic return for that branch.

Auto reasoning (Astra only) in /codex tools lets Astra adjust effort by work phase with change_reasoning: a JSON tool in Structured mode, or tools.change_reasoning in Code and Notebook modes. Disabled by default (tools.autoReasoning). It offers low, medium and high, never below your starting level, and restores that level after the run settles, including retries and compaction. Astra's native configuration updates preserve the existing request prefix; the tool is absent on other models and transports.

The first /codex setting chooses Global or This project. Global settings live in ~/.pi/agent/pi-codex-conversion.json. Choosing This project creates a project snapshot at .pi/pi-codex-conversion.json. Every tab and Edit config then targets that file. Luna cache keepalive remains global, while Sol and Terra keepalive follows the project. Switching back to Global removes the project overrides. Project settings are read only for trusted folders.

Without folder settings, the project inherits the complete global configuration. PI_CODEX_FAST=1 or PI_CODEX_FAST=0 can override Fast Mode for one Pi process, which is useful for independently launched workers. Run /reload after changing files by hand.

tools.customRustBinariesDir can override any bundled native helper by filename, including exec_bridge, apply_patch, view_image and pi-codex-voice. Build helpers on the target machine, collect the needed binaries in one directory, set that directory in the config, then run /reload.

The optional Heavy system prompt overwrite removes roughly 40% of Pi's known default scaffold while preserving additions from other extensions. It is off by default.

On GPT-6 Astra over Codex transport, Pi's usual Shift+Tab reasoning selector appends a native configuration update instead of changing the request's original effort. This preserves prompt-cache and WebSocket continuation eligibility; cache hits still depend on the server. Updates persist across session resume and native compaction. Other models keep Pi's usual behaviour. Server-side automatic truncation and compaction are incompatible with these updates; the extension's explicit Responses compaction V2 is supported.

Responses compaction V2 stores an encrypted checkpoint for the Codex lane. If you switch providers inside long sessions, enable Parallel Pi-native compaction beside it. Each native compaction then runs Pi's normal cumulative summarizer on an isolated request lane and stores the readable result alongside the encrypted checkpoint. Codex replay keeps using the native checkpoint, while other providers receive the Pi summary. This adds summarization cost, so it is off by default.

Context management

Context management (experimental) ports Codex's newer no-summary context lifecycle. A session starts with a persisted purple window marker. new_context closes the active model context and continues from a fresh marker while the shell, Notebook runtime, workspace and complete Pi JSONL remain intact. No summary is automatically added to the model's next window.

Keep Context management enabled when resuming sessions that used it. To disable it for a session, first run /compact while it is enabled, then switch it off in the new window. Disabling it earlier removes its recovery tools and may rejoin previously separated windows into ordinary Pi context.

Choose its backend under /codex → General:

• Off disables context management.
• Local keeps the current latest-boundary projection, reads prior windows from Pi's JSONL and persists note updates there as model-invisible entries.
• Tree archives completed windows as Pi side branches. Pi's branch summary stays visible in the transcript but out of model context; history search prioritizes it and can still return every archived raw entry.
• Remote uses Codex's history and notes service on openai-codex-responses. It uses the native encrypted contract and fails without changing storage modes. Other transports ignore this setting.

The model receives terse context tools. Local and Tree use flat history and notes routers on Codex transport and native history.* and notes.* namespaces on other Responses transports. Remote uses Codex's native namespaces, encrypted sensitive arguments and encrypted tool output. Structured mode also adds new_context and get_context_remaining. In Code and Notebook Mode, the lifecycle and recovery tools stay direct while get_context_remaining is available inside exec, matching native exposure.

The model receives one reminder at 6,144 tokens remaining. At the normal Pi reserve boundary it must checkpoint and roll over; an actual overflow forces a fresh window before Pi retries. Local and Remote use a fixed no-summary marker for internal Pi compaction. Tree turns each completed window into a searchable side branch. Manual /compact in Tree instead creates a readable cumulative Pi summary and a fresh window, making it the safe point to disable Context management.

Local and Tree work anywhere the active Pi Codex adapter uses a Responses API. Remote requires Codex transport. Context management is mutually exclusive with Responses compaction V2; other provider APIs ignore it. Switching it on mid-session starts a fresh model window on the next input.

Cache diagnostics

Open /codex openai and set Cache diagnostics to Status or Status + log. Diagnostics are off by default.

Pi has one extension-status row, so the existing adapter and optional cache state appear together:

Codex adapter V: low • notebook mode Codex Cache • HIT • WS delta

Pi's built-in footer already shows the latest cache percentage. Codex Cache instead explains the transport and continuation decision:

Status	Meaning
Codex Cache • waiting	Enabled; no Codex request observed yet.
Codex Cache • prewarm ready • WS new	A new WebSocket was prepared successfully. WS reused means an existing socket was prepared.
Codex Cache • HIT • WS delta	OpenAI reported cached input and only continuation input was sent.
Codex Cache • HIT • WS full (body mismatch)	Delta continuation was unsafe, so the full request was sent, but OpenAI's prompt cache still hit.
Codex Cache • MISS • WS full (input prefix mismatch)	The history diverged from the continuation baseline and OpenAI reported no cached input.
Codex Cache • WS retry 2	The first WebSocket attempt failed and the adapter is retrying.
Codex Cache • WS → SSE	WebSocket recovery ended and the request moved to SSE.
Codex Cache • compaction • HIT • WS delta	Native compaction reused the active continuation.
Codex Cache • WS failed: authentication • invalid_token • 401	The request failed; diagnostics expose only safe error metadata.

A cache miss stays visible for three seconds. Events arriving during that hold are not queued; the row then moves directly to the newest state. WebSocket continuation and OpenAI prompt caching are separate, so WS full can still produce a cache hit.

With logging enabled the status gains • log. Readable per-session logs go to:

~/.pi/agent/pi-codex-logs/<session-derived-name>.log

Logs contain request lane, transport, socket reuse, continuation decision, item counts, cache token counts, retry/fallback state and allowlisted errors. They omit prompts, messages, tool arguments, images, credentials, provider payloads and response IDs.

Code Mode and custom tools

Select Code or Notebook (recommended) under /codex → General. The selected execution mode applies everywhere the adapter is active, including all providers scope. Each provider keeps its normal transport. Compatible Codex models use Responses Lite automatically, while configured OpenAI Responses proxies can opt into it separately with Proxy Responses Lite.

The model can compose tools in one freeform JavaScript cell:

const status = await tools.exec_command({ cmd: "git status --short" });
text(status);

Notebook Mode keeps exec and wait, adds a top-level notebook lifecycle tool, and preserves JavaScript or TypeScript bindings in one persistent Deno runtime. The notebook tool owns status, checkpoints, restarts, resets and stored profiles.

Pi extension API

Pi tools that genuinely need Pi's UI can also appear inside Code and Notebook Mode. Install pi-ask and await tools.ask(...) opens the same interactive panel from a cell.

Register the tool normally, then adapt the same definition for Code and Notebook Mode:

import {
	adaptToolForCodeMode,
	registerCodeModeExtensionTools,
} from "@howaboua/pi-codex-conversion/code-mode";

const registration = registerCodeModeExtensionTools(pi, () => [
	adaptToolForCodeMode(tool, { usage: "await tools.example(input)" }),
], {
	isActive: () => extensionRuntime.isActive(),
});
extensionRuntime.onActiveChange(() => registration.refresh());
pi.on("session_shutdown", () => registration.unregister());

The complete bundled example at examples/code-mode-extension/ includes the tool, extension entry point and package manifest. Declare @howaboua/pi-codex-conversion 3.0.24 or newer as a peer dependency. Import the API lazily when the extension should still work without Pi Codex.

Extensions can also inject a real Responses developer message:

import { sendCodexDeveloperMessage } from "@howaboua/pi-codex-conversion/developer-messages";

sendCodexDeveloperMessage(pi, "Re-evaluate the plan before editing.", {
	deliverAs: "steer",
	triggerTurn: false,
});

The message persists in the session and appears in Pi's fixed purple message block, while the active Responses adapter sends its content to the model with role developer. The purple wrapper, label and persistence metadata stay model-invisible. deliverAs accepts Pi's native steer, followUp and nextTurn modes; triggerTurn independently starts an idle turn for the first two modes. The call fails when no compatible Pi Codex Responses adapter is active and never falls back to a user message.

Optional integrations can use trySendCodexDeveloperMessage instead. It returns false when the broker or a compatible adapter is unavailable, while actual delivery failures still throw.

To retain an extension's own renderer and restoration fields, use trySendCodexDeveloperCustomMessage(pi, { customType, content, display, details }, options). It preserves the custom type, display flag and caller detail fields, adding the reserved @howaboua/pi-codex-conversion/developer-message key to a copy of details. Content must be nonempty text; details must be a plain object (or omitted). It returns false without sending when a compatible broker is unavailable, including older brokers. Lazy integrations should check that this export exists before calling it, then send their ordinary custom message only on absence or false; delivery errors throw and must not trigger a second send.

Persisted developer messages retain ordinary Pi conversion after switching to an incompatible model, and regain the developer role on compatible Responses models. Caller-owned custom messages keep their original renderer and restoration fields in either case.

Realtime voice start/end guidance uses this same developer-message path. Spoken delegations and transcript-tail context remain user-role content; lifecycle messages retain their display and never start a turn.

The adapted definition keeps its Pi context, UI, schema and progress updates. JavaScript receives model-usable result content, while the tool's exact result remains available to its ordinary Pi renderer. Code Mode owns the JavaScript call and runs its own nested-tool preflight. Tool names that are not JavaScript identifiers receive the same translated name in Code and Notebook Mode, including prompt guidance and ALL_TOOLS. Use toolName for a non-default Responses namespace and resultValue when JavaScript needs a structured value instead of the ordinary model-visible result. Set blocking: true when every call must hold the agent turn until it settles, or pass blocking: input => boolean when the choice depends on the invocation. The default allows long-running work to yield to wait normally. Set deferLoading: true to omit the usage line and expose the tool through ALL_TOOLS instead. For a compact routed string surface, set kind: "freeform" and provide prepareInput to map that string into the normal Pi tool parameters. Code and Notebook Mode then omit the original JSON schema while execution, rendering and prompt metadata still come from the same tool. Use the optional isActive gate when an extension exposes its tool only in a session mode. Keep returning the tool definition from the provider and call registration.refresh() when the mode changes. Code Mode also resamples gates at normal session and input boundaries, then keeps its prompt, nested registry and outer tool filtering fixed through that run.

Shipped integrations provide larger examples:

• pi-ask uses a blocking Pi UI tool.
• pi-better-skills-tool and pi-browser map freeform strings into their normal tool parameters.
• pi-codex-web-run and pi-codex-imagegen use namespaced tool names and structured Code Mode results.
• pi-shepherdr uses an activation gate, refreshes its registration when state changes and chooses blocking per call.

TOML custom tools

Custom tools are top-level TOML definitions plus a command that accepts one string. Put them in:

~/.pi/agent/codex-conversion-custom-tools/
<project>/.pi/codex-conversion-custom-tools/

A promoted tool adds one compact usage line to the prompt. A deferred tool adds no tool-specific startup text and remains discoverable through ALL_TOOLS. Neither becomes another provider schema. Keep in mind if a tool is deferred, YOU need to remember that it exists and tell your Clanka to invoke it. Otherwise it might never realise it's there.

Working, disabled examples live in examples/custom-tools/. They include legacy browser and agent runners, progressive skills, semantic search, port diagnostics, site management and workflow helpers. See CUSTOM-TOOLS.md for the definition contract.

The legacy skills example assumes Pi starts with --no-skills. Prefer the maintained pi-better-skills-tool extension.

Voice, dictation and GipPity

Voice uses your Pi OpenAI Codex login independently of the active model. The spoken model handles conversation and routes work; the active Pi session keeps the tools, files and actual job.

Defaults:

• Ctrl+Alt+Space toggles realtime voice
• Ctrl+Alt+M mutes or unmutes the realtime microphone without ending the call
• Ctrl+Alt+D is push-to-dictate; toggle behaviour is available in the Voice tab
• Ctrl+Alt+G toggles the GipPity LAN server

Voice input and output follow the system defaults. Set voice.inputDevice or voice.outputDevice only to pin an endpoint. Dictation returns one editable transcript to Pi's input.

Fresh installs use Cove for realtime voice and Luna with high reasoning for context summarisation. Realtime calls resume after transport drops, and Run summarisation pauses at each successful compaction boundary, summarizes the compacted branch, and starts a fresh voice call without ending spoken mode. An initial summarization failure leaves the old call untouched.

The visible realtime prompt lives at ~/.pi/agent/REALTIME-SYSTEM-PROMPT.md. A trusted project can append .pi/REALTIME-SYSTEM-PROMPT.md. Keep coding and project instructions in AGENTS.md rather than duplicating them into the spoken assistant.

The package ships its current prompt template and cumulative schema changelog as raw Markdown. Realtime voice checks the global prompt marker when voice is engaged. If it is outdated, the extension points you and your agent to the changelog instead of rewriting personal customizations automatically. Both paths are shown in the Voice tab.

Other Pi extensions can ask an active voice session to speak:

import { reportRealtimeVoicePrompt } from "@howaboua/pi-codex-conversion/realtime-voice";

const announcement = {
	id: "my-extension:finished",
	prompt: "Briefly tell the user that the task finished.",
};
reportRealtimeVoicePrompt(pi, { ...announcement, active: true });
reportRealtimeVoicePrompt(pi, { ...announcement, active: false });

For an ongoing state, send active: true when it begins and active: false when it ends. For a one-off announcement, send both immediately as above.

Voice commands:

/codex voice realtime
/codex voice mute
/codex voice dictation
/codex voice stop
/codex voice server

/codex voice server lazily starts GipPity over HTTPS and prints its hostname and LAN addresses. Open one on a different machine (phone, cough, cough) and accept the local certificate on first visit. Amazing when using a devbox without a mic or when you want to Tailscale into Pi and talk to it remotely.

GipPity provides realtime voice with a microphone mute button, editable dictation drafts, typed prompting, Pi activity and settled assistant results. The host retains the Realtime WebRTC call and relays 24 kHz mono audio to the active browser, so moving between devices does not restart the voice session. It follows the Pi theme and can be saved as a PWA / phone app.

The server belongs only to the Pi session that started it and stops when that session changes. There is intentionally no authentication in v1; it is for a trusted LAN.

Models and providers

The default scope activates conservatively for Codex-like GPT routes and Responses providers listed under Additional providers. Switching to an unrelated model restores Pi's ordinary tools.

Voice, usage and text image descriptions can use the Pi OpenAI Codex login while another provider's model remains active. The standalone web and image-generation extensions use the same login independently.

Native Responses compaction is intentionally narrower: OpenAI Codex and explicitly configured OpenAI/Codex-compatible passthrough providers only. Unsupported states fail visibly or fall back to Pi compaction rather than silently discarding context. A portable summary must be enabled before the native checkpoint that you want to carry across providers.

Migrating from Lite

@howaboua/pi-codex-conversion-lite has graduated into this package. Lite receives one final release and no further updates.

Remove Lite before installing the canonical package; both use the same command and configuration surfaces.

pi remove npm:@howaboua/pi-codex-conversion-lite
pi install npm:@howaboua/pi-codex-conversion

Your existing ~/.pi/agent/pi-codex-conversion.json continues to load.

Web search and image generation are now independently installed extensions:

pi install npm:@howaboua/pi-codex-web-run
pi install npm:@howaboua/pi-codex-imagegen

This is also a major change for users of the old canonical package. Legacy PATH mode and its package binaries are gone. Old PATH-mode settings normalize to the structured adapter. Use structured tools or Code Mode custom commands instead.

Troubleshooting

• Voice cannot find a device: let the setup turn inspect the endpoints, save the selected device IDs, then start voice again.
• GipPity cannot open the microphone: use one of Pi's HTTPS URLs and accept its local certificate. Browsers block microphone access on plain LAN HTTP.
• Code Mode cannot start: its pinned host is prepared lazily and honours normal proxy environment variables. Pi reports setup failures instead of hanging the first execution.
• A bundled helper cannot run on this system: build the core helper from a checkout on the target machine, put it in tools.customRustBinariesDir, then run /reload. Do not replace system glibc for this. Web search and image generation are TypeScript extensions and need no platform helper.
• A configured provider fails: it must implement its declared provider API. Proxy Responses Lite and native compaction additionally need their respective backend contracts.

For anything stranger, clone the repository and ask your Clanka:

git clone https://github.com/IgorWarzocha/howaboua-pi-stuff.git
cd howaboua-pi-stuff
bun install
pi --no-extensions --no-skills -e ./packages/pi-codex-conversion

See UPSTREAM_SYNC.md, CHANGELOG.md and GitHub issues.

License

MIT. Bundled and vendored third-party components retain their own licences and notices.