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axio-transport-codex

PyPI Python License: MIT

ChatGPT OAuth transport for axio using the OpenAI Responses API.

Authenticates via the same OAuth2 PKCE flow used by the ChatGPT desktop client - no API key purchase required; your ChatGPT subscription covers usage. Implements the OpenAI Responses API (not the legacy chat completions endpoint).

Features

  • No API key purchase - authenticates with your ChatGPT account via OAuth2 PKCE
  • Responses API - uses OpenAI's newer Responses endpoint (/backend-api/codex/responses)
  • Automatic token refresh - access tokens are silently refreshed before expiry; callers notified via on_auth_refresh
  • Full streaming - incremental text, reasoning, and tool-call events via SSE
  • Tool calling - works with all axio tool handlers; parallel tool calls enabled
  • Retry logic - automatic backoff on 429 and 5xx responses; honours Retry-After header
  • aiohttp-based - non-blocking I/O throughout

Installation

pip install axio-transport-codex

With the TUI settings screen (ChatGPT sign-in dialog):

pip install "axio-transport-codex[tui]"

Authentication

CodexTransport authenticates with ChatGPT using OAuth2 PKCE. The transport stores an access token (api_key), a refresh token, and an expiry timestamp. It refreshes the access token automatically when it is within 30 seconds of expiry.

Running the OAuth flow

Use run_oauth_flow() from axio_transport_codex.oauth to obtain tokens for the first time. It opens a browser window for ChatGPT sign-in and waits for the callback on http://localhost:1455/auth/callback.

import asyncio
from axio_transport_codex.oauth import run_oauth_flow
from axio_transport_codex import CodexTransport


async def main() -> None:
    tokens = await run_oauth_flow()
    # tokens = {
    #   "access_token": "...",
    #   "refresh_token": "...",
    #   "expires_at": "1234567890",   # Unix timestamp as string
    #   "account_id": "...",
    # }

    transport = CodexTransport(
        api_key=tokens["access_token"],
        refresh_token=tokens["refresh_token"],
        expires_at=tokens["expires_at"],
        account_id=tokens["account_id"],
    )

Persisting tokens across sessions

Pass an on_auth_refresh callback to receive updated credentials whenever the access token is refreshed. Save the returned dict to disk or a secrets store and restore it on the next run.

import json, pathlib, aiohttp
from axio_transport_codex import CodexTransport

CRED_FILE = pathlib.Path("~/.config/axio/codex.json").expanduser()


async def save_tokens(tokens: dict[str, str]) -> None:
    CRED_FILE.parent.mkdir(parents=True, exist_ok=True)
    CRED_FILE.write_text(json.dumps(tokens))


async def main() -> None:
    creds = json.loads(CRED_FILE.read_text()) if CRED_FILE.exists() else {}

    async with aiohttp.ClientSession() as session:
        transport = CodexTransport(
            api_key=creds.get("api_key", ""),
            refresh_token=creds.get("refresh_token", ""),
            expires_at=creds.get("expires_at", ""),
            account_id=creds.get("account_id", ""),
            session=session,
            on_auth_refresh=save_tokens,
        )
        # use transport with an Agent ...

Refreshing tokens manually

from axio_transport_codex.oauth import refresh_access_token

tokens = await refresh_access_token(refresh_token="...")
# tokens = {"access_token": ..., "refresh_token": ..., "expires_at": ..., "account_id": ...}

Usage

import asyncio
import aiohttp
from axio.agent import Agent
from axio.context import MemoryContextStore
from axio.events import TextDelta
from axio_transport_codex import CodexTransport, CODEX_MODELS


async def main() -> None:
    async with aiohttp.ClientSession() as session:
        transport = CodexTransport(
            api_key="<your-chatgpt-access-token>",
            refresh_token="<your-refresh-token>",
            expires_at="<unix-timestamp-string>",
            account_id="<your-account-id>",
            model=CODEX_MODELS["gpt-4.1"],
            session=session,
        )
        agent = Agent(system="You are a helpful assistant.", tools=[], transport=transport)
        ctx = MemoryContextStore()
        async for event in agent.run_stream("Explain the Rust borrow checker.", ctx):
            if isinstance(event, TextDelta):
                print(event.delta, end="", flush=True)
        print()


asyncio.run(main())

The session parameter is required for streaming. Create an aiohttp.ClientSession in an async context and pass it to the transport.

Configuration reference

CodexTransport is a dataclass with the following fields:

Field Type Default Description
name str "ChatGPT (Codex)" Display name (used by TUI)
api_key str "" ChatGPT OAuth access token
refresh_token str "" OAuth refresh token for silent renewal
expires_at str "" Access token expiry as a Unix timestamp string
account_id str "" ChatGPT account/organisation ID (sent as ChatGPT-Account-ID header)
base_url str "https://chatgpt.com/backend-api/codex" API base URL
model ModelSpec CODEX_MODELS["gpt-4.1"] Active model
models ModelRegistry all CODEX_MODELS Available models
session aiohttp.ClientSession | None None HTTP session (required for streaming)
on_auth_refresh Callable[[dict[str, str]], Awaitable[None]] | None None Callback invoked with fresh credentials after token refresh
max_retries int 10 Maximum retry attempts on 429 / 5xx
retry_base_delay float 5.0 Base delay in seconds for exponential backoff

Models

Model ID Context Max output Capabilities
gpt-4.1 1,047,576 32,768 text, vision, tool use
gpt-4.1-mini 1,047,576 32,768 text, vision, tool use
gpt-4.1-nano 1,047,576 32,768 text, tool use
gpt-4o 128,000 16,384 text, vision, tool use
gpt-4o-mini 128,000 16,384 text, vision, tool use
o4-mini 200,000 100,000 text, reasoning, tool use
o3 200,000 100,000 text, reasoning, tool use
o3-mini 200,000 100,000 text, reasoning, tool use

The default model is gpt-4.1.

fetch_models()

await transport.fetch_models() queries the Codex /models endpoint for the list of models your account has access to. If the request fails or the account is not configured, it falls back to the built-in CODEX_MODELS registry. Models not found in the built-in registry are added with basic text and tool_use capabilities.

session and api_key must be set before calling fetch_models().

Plugin registration

When installed, this package registers itself via entry points so axio-tui discovers it automatically:

[project.entry-points."axio.transport"]
codex = "axio_transport_codex:CodexTransport"

[project.entry-points."axio.transport.settings"]
codex = "axio_transport_codex.tui:CodexSettingsScreen"

Part of the axio ecosystem

axio · axio-transport-openai · axio-transport-anthropic · axio-tui

License

MIT

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