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codex-app-server
codex app-server is the interface Codex uses to power rich interfaces such as the Codex VS Code extension. The message schema is currently unstable, but those who wish to build experimental UIs on top of Codex may find it valuable.
Table of Contents
- Protocol
- Message Schema
- Lifecycle Overview
- Initialization
- Core primitives
- Thread & turn endpoints
- Auth endpoints
- Events (work-in-progress)
Protocol
Similar to MCP, codex app-server supports bidirectional communication, streaming JSONL over stdio. The protocol is JSON-RPC 2.0, though the "jsonrpc":"2.0" header is omitted.
Message Schema
Currently, you can dump a TypeScript version of the schema using codex app-server generate-ts, or a JSON Schema bundle via codex app-server generate-json-schema. Each output is specific to the version of Codex you used to run the command, so the generated artifacts are guaranteed to match that version.
codex app-server generate-ts --out DIR
codex app-server generate-json-schema --out DIR
Lifecycle Overview
- Initialize once: Immediately after launching the codex app-server process, send an
initializerequest with your client metadata, then emit aninitializednotification. Any other request before this handshake gets rejected. - Start (or resume) a thread: Call
thread/startto open a fresh conversation. The response returns the thread object and you’ll also get athread/startednotification. If you’re continuing an existing conversation, callthread/resumewith its ID instead. - Begin a turn: To send user input, call
turn/startwith the targetthreadIdand the user's input. Optional fields let you override model, cwd, sandbox policy, etc. This immediately returns the new turn object and triggers aturn/startednotification. - Stream events: After
turn/start, keep reading JSON-RPC notifications on stdout. You’ll seeitem/started,item/completed, deltas likeitem/agentMessage/delta, tool progress, etc. These represent streaming model output plus any side effects (commands, tool calls, reasoning notes). - Finish the turn: When the model is done (or the turn is interrupted via making the
turn/interruptcall), the server sendsturn/completedwith the final turn state and token usage.
Initialization
Clients must send a single initialize request before invoking any other method, then acknowledge with an initialized notification. The server returns the user agent string it will present to upstream services; subsequent requests issued before initialization receive a "Not initialized" error, and repeated initialize calls receive an "Already initialized" error.
Example:
{ "method": "initialize", "id": 0, "params": {
"clientInfo": { "name": "codex-vscode", "title": "Codex VS Code Extension", "version": "0.1.0" }
} }
{ "id": 0, "result": { "userAgent": "codex-app-server/0.1.0 codex-vscode/0.1.0" } }
{ "method": "initialized" }
Core primitives
We have 3 top level primitives:
- Thread - a conversation between the Codex agent and a user. Each thread contains multiple turns.
- Turn - one turn of the conversation, typically starting with a user message and finishing with an agent message. Each turn contains multiple items.
- Item - represents user inputs and agent outputs as part of the turn, persisted and used as the context for future conversations.
Thread & turn endpoints
The JSON-RPC API exposes dedicated methods for managing Codex conversations. Threads store long-lived conversation metadata, and turns store the per-message exchange (input → Codex output, including streamed items). Use the thread APIs to create, list, or archive sessions, then drive the conversation with turn APIs and notifications.
Quick reference
thread/start— create a new thread; emitsthread/startedand auto-subscribes you to turn/item events for that thread.thread/resume— reopen an existing thread by id so subsequentturn/startcalls append to it.thread/list— page through stored rollouts; supports cursor-based pagination and optionalmodelProvidersfiltering.thread/archive— move a thread’s rollout file into the archived directory; returns{}on success.turn/start— add user input to a thread and begin Codex generation; responds with the initialturnobject and streamsturn/started,item/*, andturn/completednotifications.turn/interrupt— request cancellation of an in-flight turn by(thread_id, turn_id); success is an empty{}response and the turn finishes withstatus: "interrupted".review/start— kick off Codex’s automated reviewer for a thread; responds liketurn/startand emits aitem/completednotification with acodeReviewitem when results are ready.
1) Start or resume a thread
Start a fresh thread when you need a new Codex conversation.
{ "method": "thread/start", "id": 10, "params": {
// Optionally set config settings. If not specified, will use the user's
// current config settings.
"model": "gpt-5.1-codex",
"cwd": "/Users/me/project",
"approvalPolicy": "never",
"sandbox": "workspaceWrite",
} }
{ "id": 10, "result": {
"thread": {
"id": "thr_123",
"preview": "",
"modelProvider": "openai",
"createdAt": 1730910000
}
} }
{ "method": "thread/started", "params": { "thread": { … } } }
To continue a stored session, call thread/resume with the thread.id you previously recorded. The response shape matches thread/start, and no additional notifications are emitted:
{ "method": "thread/resume", "id": 11, "params": { "threadId": "thr_123" } }
{ "id": 11, "result": { "thread": { "id": "thr_123", … } } }
2) List threads (pagination & filters)
thread/list lets you render a history UI. Pass any combination of:
cursor— opaque string from a prior response; omit for the first page.limit— server defaults to a reasonable page size if unset.modelProviders— restrict results to specific providers; unset, null, or an empty array will include all providers.
Example:
{ "method": "thread/list", "id": 20, "params": {
"cursor": null,
"limit": 25,
} }
{ "id": 20, "result": {
"data": [
{ "id": "thr_a", "preview": "Create a TUI", "modelProvider": "openai", "createdAt": 1730831111 },
{ "id": "thr_b", "preview": "Fix tests", "modelProvider": "openai", "createdAt": 1730750000 }
],
"nextCursor": "opaque-token-or-null"
} }
When nextCursor is null, you’ve reached the final page.
3) Archive a thread
Use thread/archive to move the persisted rollout (stored as a JSONL file on disk) into the archived sessions directory.
{ "method": "thread/archive", "id": 21, "params": { "threadId": "thr_b" } }
{ "id": 21, "result": {} }
An archived thread will not appear in future calls to thread/list.
4) Start a turn (send user input)
Turns attach user input (text or images) to a thread and trigger Codex generation. The input field is a list of discriminated unions:
{"type":"text","text":"Explain this diff"}{"type":"image","url":"https://…png"}{"type":"localImage","path":"/tmp/screenshot.png"}
You can optionally specify config overrides on the new turn. If specified, these settings become the default for subsequent turns on the same thread.
{ "method": "turn/start", "id": 30, "params": {
"threadId": "thr_123",
"input": [ { "type": "text", "text": "Run tests" } ],
// Below are optional config overrides
"cwd": "/Users/me/project",
"approvalPolicy": "unlessTrusted",
"sandboxPolicy": {
"mode": "workspaceWrite",
"writableRoots": ["/Users/me/project"],
"networkAccess": true
},
"model": "gpt-5.1-codex",
"effort": "medium",
"summary": "concise"
} }
{ "id": 30, "result": { "turn": {
"id": "turn_456",
"status": "inProgress",
"items": [],
"error": null
} } }
5) Interrupt an active turn
You can cancel a running Turn with turn/interrupt.
{ "method": "turn/interrupt", "id": 31, "params": {
"threadId": "thr_123",
"turnId": "turn_456"
} }
{ "id": 31, "result": {} }
The server requests cancellations for running subprocesses, then emits a turn/completed event with status: "interrupted". Rely on the turn/completed to know when Codex-side cleanup is done.
6) Request a code review
Use review/start to run Codex’s reviewer on the currently checked-out project. The request takes the thread id plus a target describing what should be reviewed:
{"type":"uncommittedChanges"}— staged, unstaged, and untracked files.{"type":"baseBranch","branch":"main"}— diff against the provided branch’s upstream (see prompt for the exactgit merge-base/git diffinstructions Codex will run).{"type":"commit","sha":"abc1234","title":"Optional subject"}— review a specific commit.{"type":"custom","instructions":"Free-form reviewer instructions"}— fallback prompt equivalent to the legacy manual review request.appendToOriginalThread(bool, defaultfalse) — whentrue, Codex also records a final assistant-style message with the review summary in the original thread. Whenfalse, only thecodeReviewitem is emitted for the review run and no extra message is added to the original thread.
Example request/response:
{ "method": "review/start", "id": 40, "params": {
"threadId": "thr_123",
"appendToOriginalThread": true,
"target": { "type": "commit", "sha": "1234567deadbeef", "title": "Polish tui colors" }
} }
{ "id": 40, "result": { "turn": {
"id": "turn_900",
"status": "inProgress",
"items": [
{ "type": "userMessage", "id": "turn_900", "content": [ { "type": "text", "text": "Review commit 1234567: Polish tui colors" } ] }
],
"error": null
} } }
Codex streams the usual turn/started notification followed by an item/started
with the same codeReview item id so clients can show progress:
{ "method": "item/started", "params": { "item": {
"type": "codeReview",
"id": "turn_900",
"review": "current changes"
} } }
When the reviewer finishes, the server emits item/completed containing the same
codeReview item with the final review text:
{ "method": "item/completed", "params": { "item": {
"type": "codeReview",
"id": "turn_900",
"review": "Looks solid overall...\n\n- Prefer Stylize helpers — app.rs:10-20\n ..."
} } }
The review string is plain text that already bundles the overall explanation plus a bullet list for each structured finding (matching ThreadItem::CodeReview in the generated schema). Use this notification to render the reviewer output in your client.
Auth endpoints
The JSON-RPC auth/account surface exposes request/response methods plus server-initiated notifications (no id). Use these to determine auth state, start or cancel logins, logout, and inspect ChatGPT rate limits.
Quick reference
account/read— fetch current account info; optionally refresh tokens.account/login/start— begin login (apiKeyorchatgpt).account/login/completed(notify) — emitted when a login attempt finishes (success or error).account/login/cancel— cancel a pending ChatGPT login byloginId.account/logout— sign out; triggersaccount/updated.account/updated(notify) — emitted whenever auth mode changes (authMode:apikey,chatgpt, ornull).account/rateLimits/read— fetch ChatGPT rate limits; updates arrive viaaccount/rateLimits/updated(notify).
1) Check auth state
Request:
{ "method": "account/read", "id": 1, "params": { "refreshToken": false } }
Response examples:
{ "id": 1, "result": { "account": null, "requiresOpenaiAuth": false } } // No OpenAI auth needed (e.g., OSS/local models)
{ "id": 1, "result": { "account": null, "requiresOpenaiAuth": true } } // OpenAI auth required (typical for OpenAI-hosted models)
{ "id": 1, "result": { "account": { "type": "apiKey" }, "requiresOpenaiAuth": true } }
{ "id": 1, "result": { "account": { "type": "chatgpt", "email": "user@example.com", "planType": "pro" }, "requiresOpenaiAuth": true } }
Field notes:
refreshToken(bool): settrueto force a token refresh.requiresOpenaiAuthreflects the active provider; whenfalse, Codex can run without OpenAI credentials.
2) Log in with an API key
- Send:
{ "method": "account/login/start", "id": 2, "params": { "type": "apiKey", "apiKey": "sk-…" } } - Expect:
{ "id": 2, "result": { "type": "apiKey" } } - Notifications:
{ "method": "account/login/completed", "params": { "loginId": null, "success": true, "error": null } } { "method": "account/updated", "params": { "authMode": "apikey" } }
3) Log in with ChatGPT (browser flow)
- Start:
{ "method": "account/login/start", "id": 3, "params": { "type": "chatgpt" } } { "id": 3, "result": { "type": "chatgpt", "loginId": "<uuid>", "authUrl": "https://chatgpt.com/…&redirect_uri=http%3A%2F%2Flocalhost%3A<port>%2Fauth%2Fcallback" } } - Open
authUrlin a browser; the app-server hosts the local callback. - Wait for notifications:
{ "method": "account/login/completed", "params": { "loginId": "<uuid>", "success": true, "error": null } } { "method": "account/updated", "params": { "authMode": "chatgpt" } }
4) Cancel a ChatGPT login
{ "method": "account/login/cancel", "id": 4, "params": { "loginId": "<uuid>" } }
{ "method": "account/login/completed", "params": { "loginId": "<uuid>", "success": false, "error": "…" } }
5) Logout
{ "method": "account/logout", "id": 5 }
{ "id": 5, "result": {} }
{ "method": "account/updated", "params": { "authMode": null } }
6) Rate limits (ChatGPT)
{ "method": "account/rateLimits/read", "id": 6 }
{ "id": 6, "result": { "rateLimits": { "primary": { "usedPercent": 25, "windowDurationMins": 15, "resetsAt": 1730947200 }, "secondary": null } } }
{ "method": "account/rateLimits/updated", "params": { "rateLimits": { … } } }
Field notes:
usedPercentis current usage within the OpenAI quota window.windowDurationMinsis the quota window length.resetsAtis a Unix timestamp (seconds) for the next reset.
Dev notes
codex app-server generate-ts --out <dir>emits v2 types underv2/.codex app-server generate-json-schema --out <dir>outputscodex_app_server_protocol.schemas.json.- See “Authentication and authorization” in the config docs for configuration knobs.
Events (work-in-progress)
Event notifications are the server-initiated event stream for thread lifecycles, turn lifecycles, and the items within them. After you start or resume a thread, keep reading stdout for thread/started, turn/*, and item/* notifications.
Turn events
The app-server streams JSON-RPC notifications while a turn is running. Each turn starts with turn/started (initial turn) and ends with turn/completed (final turn plus token usage), and clients subscribe to the events they care about, rendering each item incrementally as updates arrive. The per-item lifecycle is always: item/started → zero or more item-specific deltas → item/completed.
Thread items
ThreadItem is the tagged union carried in turn responses and item/* notifications. Currently we support events for the following items:
userMessage—{id, content}wherecontentis a list of user inputs (text,image, orlocalImage).agentMessage—{id, text}containing the accumulated agent reply.reasoning—{id, summary, content}wheresummaryholds streamed reasoning summaries (applicable for most OpenAI models) andcontentholds raw reasoning blocks (applicable for e.g. open source models).mcpToolCall—{id, server, tool, status, arguments, result?, error?}describing MCP calls;statusisinProgress,completed, orfailed.webSearch—{id, query}for a web search request issued by the agent.
All items emit two shared lifecycle events:
item/started— emits the fullitemwhen a new unit of work begins so the UI can render it immediately; theitem.idin this payload matches theitemIdused by deltas.item/completed— sends the finalitemonce that work finishes (e.g., after a tool call or message completes); treat this as the authoritative state.
There are additional item-specific events:
agentMessage
item/agentMessage/delta— appends streamed text for the agent message; concatenatedeltavalues for the sameitemIdin order to reconstruct the full reply.
reasoning
item/reasoning/summaryTextDelta— streams readable reasoning summaries;summaryIndexincrements when a new summary section opens.item/reasoning/summaryPartAdded— marks the boundary between reasoning summary sections for anitemId; subsequentsummaryTextDeltaentries share the samesummaryIndex.item/reasoning/textDelta— streams raw reasoning text (only applicable for e.g. open source models); usecontentIndexto group deltas that belong together before showing them in the UI.