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codex/sdk/python/docs/faq.md
Ahmed Ibrahim b4bc02439f [4/8] Define Python SDK public API surface (#21896)
## Why

The SDK package root should be the ergonomic public client API, not a
dump of every generated app-server schema type. Generated models still
need a supported import path, but callers should be able to tell which
names are high-level SDK entrypoints and which names are protocol value
models.

## What

- Define a curated root `__all__` for clients, handles, input helpers,
retry helpers, config, and public errors.
- Add a `types` module as the supported home for generated app-server
response, event, enum, and helper models.
- Update docs and examples to import protocol/value models from the type
module.
- Add tests that lock root exports, type-module exports, star-import
behavior, and example import hygiene.

## Stack

1. #21891 `[1/8]` Pin Python SDK runtime dependency
2. #21893 `[2/8]` Generate Python SDK types from pinned runtime
3. #21895 `[3/8]` Run Python SDK tests in CI
4. This PR `[4/8]` Define Python SDK public API surface
5. #21905 `[5/8]` Rename Python SDK package to `openai-codex`
6. #21910 `[6/8]` Add high-level Python SDK approval mode
7. #22014 `[7/8]` Add Python SDK app-server integration harness
8. #22021 `[8/8]` Add Python SDK Ruff formatting

## Verification

- Added public API signature tests for root exports, `types` exports,
and example imports.

---------

Co-authored-by: Codex <noreply@openai.com>
2026-05-12 00:57:44 +03:00

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3.7 KiB
Markdown

# FAQ
## Thread vs turn
- A `Thread` is conversation state.
- A `Turn` is one model execution inside that thread.
- Multi-turn chat means multiple turns on the same `Thread`.
## `run()` vs `stream()`
- `TurnHandle.run()` / `AsyncTurnHandle.run()` is the easiest path. It consumes events until completion and returns the public app-server `Turn` model from `codex_app_server.types`.
- `TurnHandle.stream()` / `AsyncTurnHandle.stream()` yields raw notifications (`Notification`) so you can react event-by-event.
Choose `run()` for most apps. Choose `stream()` for progress UIs, custom timeout logic, or custom parsing.
## Sync vs async clients
- `Codex` is the sync public API.
- `AsyncCodex` is an async replica of the same public API shape.
- Prefer `async with AsyncCodex()` for async code. It is the standard path for
explicit startup/shutdown, and `AsyncCodex` initializes lazily on context
entry or first awaited API use.
If your app is not already async, stay with `Codex`.
## Public kwargs are snake_case
Public API keyword names are snake_case. The SDK still maps them to wire camelCase under the hood.
If you are migrating older code, update these names:
- `approvalPolicy` -> `approval_policy`
- `baseInstructions` -> `base_instructions`
- `developerInstructions` -> `developer_instructions`
- `modelProvider` -> `model_provider`
- `modelProviders` -> `model_providers`
- `sortKey` -> `sort_key`
- `sourceKinds` -> `source_kinds`
- `outputSchema` -> `output_schema`
- `sandboxPolicy` -> `sandbox_policy`
## Why only `thread_start(...)` and `thread_resume(...)`?
The public API keeps only explicit lifecycle calls:
- `thread_start(...)` to create new threads
- `thread_resume(thread_id, ...)` to continue existing threads
This avoids duplicate ways to do the same operation and keeps behavior explicit.
## Why does constructor fail?
`Codex()` is eager: it starts transport and calls `initialize` in `__init__`.
Common causes:
- published runtime package (`openai-codex-cli-bin`) is not installed
- local `codex_bin` override points to a missing file
- local auth/session is missing
- incompatible/old app-server
Maintainers stage releases by building the SDK once and the runtime once per
platform with the same pinned runtime version. Publish `openai-codex-cli-bin`
as platform wheels only; do not publish an sdist:
```bash
cd sdk/python
python scripts/update_sdk_artifacts.py generate-types
python scripts/update_sdk_artifacts.py \
stage-sdk \
/tmp/codex-python-release/openai-codex-app-server-sdk \
--codex-version <codex-release-tag-or-pep440-version>
python scripts/update_sdk_artifacts.py \
stage-runtime \
/tmp/codex-python-release/openai-codex-cli-bin \
/path/to/codex \
--codex-version <codex-release-tag-or-pep440-version>
```
If you are packaging a binary for a different target than the Python build
host, pass `--platform-tag ...` to `stage-runtime`. The intended one-off matrix
is `macosx_11_0_arm64`, `macosx_10_9_x86_64`, `musllinux_1_1_aarch64`,
`musllinux_1_1_x86_64`, `win_arm64`, and `win_amd64`.
## Why does a turn "hang"?
A turn is complete only when `turn/completed` arrives for that turn ID.
- `run()` waits for this automatically.
- With `stream()`, keep consuming notifications until completion.
## How do I retry safely?
Use `retry_on_overload(...)` for transient overload failures (`ServerBusyError`).
Do not blindly retry all errors. For `InvalidParamsError` or `MethodNotFoundError`, fix inputs/version compatibility instead.
## Common pitfalls
- Starting a new thread for every prompt when you wanted continuity.
- Forgetting to `close()` (or not using context managers).
- Assuming `run()` returns extra SDK-only fields instead of the public `Turn` model.
- Mixing SDK input classes with raw dicts incorrectly.