acodex 0.104.0

Fast, typed Python SDK for Codex CLI workflows with TypeScript SDK parity.

acodex

acodex is a fast, typed Python SDK for Codex CLI workflows (sync/async, streaming, structured output, images, safety controls), and API parity with the TypeScript SDK.

What is acodex?

acodex spawns the codex CLI and exchanges JSONL events over stdin/stdout so you can run agent threads from Python with a fully typed surface: sync + async clients, streaming events, structured output, image inputs, resumable threads, and safety controls exposed as explicit options.

Install

Prerequisite: Codex CLI

acodex wraps an external CLI. Install the Codex CLI and ensure codex is on your PATH (or pass codex_path_override=... to Codex(...) / AsyncCodex(...)).

• Upstream CLI: https://github.com/openai/codex

One installation option:

npm install -g @openai/codex
codex --version

Install acodex (uv-first)

uv add acodex
uv run python your_script.py

pip install acodex also works, but uv is recommended.

Recommended for structured output: structured-output extra (primary pattern via output_type):

uv add "acodex[structured-output]"
# or:
pip install "acodex[structured-output]"

60-second quickstart (sync)

from pydantic import BaseModel

from acodex import Codex

class SummaryPayload(BaseModel):
    summary: str

thread = Codex().start_thread(
    sandbox_mode="read-only",
    approval_policy="on-request",
    web_search_mode="disabled",
)
turn = thread.run(
    "Summarize this repo.",
    output_type=SummaryPayload,
)
print(turn.structured_response.summary)

Call run() repeatedly on the same Thread instance to continue the conversation. To resume later from disk, use Codex().resume_thread(thread_id).

Async quickstart

import asyncio

from acodex import AsyncCodex


async def main() -> None:
    thread = AsyncCodex().start_thread()
    turn = await thread.run("Say hello")
    print(turn.final_response)


asyncio.run(main())

Advanced: stream parsed events

Use run_streamed() to react to intermediate progress (tool calls, streaming responses, item updates, and final usage).

from acodex import Codex, ItemCompletedEvent, TurnCompletedEvent, TurnFailedEvent

codex = Codex()
thread = codex.start_thread()

streamed = thread.run_streamed(
    "List the top 3 risks for this codebase. Be concise.",
)
for event in streamed.events:
    if isinstance(event, ItemCompletedEvent):
        print("item", event.item)
    elif isinstance(event, TurnCompletedEvent):
        print("usage", event.usage)
    elif isinstance(event, TurnFailedEvent):
        print("error", event.error.message)

turn = streamed.result
print(turn.final_response)

streamed.result is available only after streamed.events is fully consumed.

Why acodex

• Typed surface: strict type hints + mypy strict, no runtime deps by default.
• Sync + async: Codex/Thread and AsyncCodex/AsyncThread.
• Streaming events: Thread.run_streamed() yields parsed ThreadEvent dataclasses.
• Structured output: validate into a Pydantic model via output_type (recommended), or pass output_schema (JSON Schema) for schema-only parity with the TypeScript SDK.
• Images: pass UserInputLocalImage alongside text in a single turn.
• Resume threads: resume_thread(thread_id) (threads persisted under ~/.codex/sessions).
• Safety controls: expose Codex CLI controls as ThreadOptions (sandbox_mode, approval_policy, web_search_mode, working_directory, ...).
• TS SDK parity: vendored TypeScript SDK is the source of truth; compatibility tests fail loudly on drift.
• Quality gates: Ruff + mypy strict + 100% coverage.

Compatibility & parity (TypeScript SDK)

The vendored TypeScript SDK under vendor/codex-ts-sdk/src/ is the source of truth. CI runs a Python-only compatibility suite that parses those TS sources and asserts the Python exports, options keys, events/items models, and class surface stay compatible.

An hourly workflow checks for new stable Codex releases and opens a PR to bump the vendored SDK: .github/workflows/codex-ts-sdk-bump.yaml.

• Compatibility policy: COMPATIBILITY.md
• Intentional divergences (documented + tested): DIFFERENCES.md
• Contributing: CONTRIBUTING.md

Links

• Docs: https://docs.acodex.dev
• GitHub: https://github.com/maksimzayats/acodex
• Issues: https://github.com/maksimzayats/acodex/issues

Disclaimer

It is independently maintained and is not affiliated with, sponsored by, or endorsed by OpenAI.

License

Apache-2.0. See LICENSE.