Files
codex/sdk/python/examples/README.md
Ahmed Ibrahim f1b84fac63 [5/8] Rename Python SDK package to openai-codex (#21905)
## Why

The SDK should publish under the reserved public distribution name
`openai-codex`, and its import module should match that name in the
Python style. Since package names can contain hyphens but import modules
cannot, the public import path becomes `openai_codex`.

Keeping the rename separate from the public API surface change makes the
naming change easy to review and avoids mixing it with API curation.

## What

- Rename the SDK distribution from `openai-codex-app-server-sdk` to
`openai-codex`.
- Rename the import package from `codex_app_server` to `openai_codex`.
- Keep the runtime wheel as the separate `openai-codex-cli-bin`
dependency.
- Update docs, examples, notebooks, artifact scripts, lockfile metadata,
and tests for the new distribution/module names.

## 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. #21896 `[4/8]` Define Python SDK public API surface
5. This PR `[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

- Updated package metadata and public API tests to assert the
distribution and import names.

Co-authored-by: Codex <noreply@openai.com>
2026-05-12 00:59:25 +03:00

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# Python SDK Examples
Each example folder contains runnable versions:
- `sync.py` (public sync surface: `Codex`)
- `async.py` (public async surface: `AsyncCodex`)
All examples intentionally use only public SDK exports from `openai_codex`
and `openai_codex.types`.
## Prerequisites
- Python `>=3.10`
- Install SDK dependencies for the same Python interpreter you will use to run examples
Recommended setup (from `sdk/python`):
```bash
uv sync
source .venv/bin/activate
```
When running examples from this repo checkout, the SDK source uses the local
tree and does not bundle a runtime binary. The helper in `examples/_bootstrap.py`
uses the installed `openai-codex-cli-bin` runtime package.
If the pinned `openai-codex-cli-bin` runtime is not already installed, the bootstrap
will download the matching GitHub release artifact, stage a temporary local
`openai-codex-cli-bin` package, install it into your active interpreter, and clean up
the temporary files afterward.
The pinned runtime version comes from the SDK package dependency.
## Run examples
From `sdk/python`:
```bash
python examples/<example-folder>/sync.py
python examples/<example-folder>/async.py
```
The examples bootstrap local imports from `sdk/python/src` automatically, so no
SDK wheel install is required. You only need the Python dependencies for your
active interpreter and an installed `openai-codex-cli-bin` runtime package (either
already present or automatically provisioned by the bootstrap).
## Recommended first run
```bash
python examples/01_quickstart_constructor/sync.py
python examples/01_quickstart_constructor/async.py
```
## Index
- `01_quickstart_constructor/`
- first run / sanity check
- `02_turn_run/`
- inspect full turn output fields
- `03_turn_stream_events/`
- stream a turn with a small curated event view
- `04_models_and_metadata/`
- discover visible models for the connected runtime
- `05_existing_thread/`
- resume a real existing thread (created in-script)
- `06_thread_lifecycle_and_controls/`
- thread lifecycle + control calls
- `07_image_and_text/`
- remote image URL + text multimodal turn
- `08_local_image_and_text/`
- local image + text multimodal turn using a generated temporary sample image
- `09_async_parity/`
- parity-style sync flow (see async parity in other examples)
- `10_error_handling_and_retry/`
- overload retry pattern + typed error handling structure
- `11_cli_mini_app/`
- interactive chat loop
- `12_turn_params_kitchen_sink/`
- structured output with a curated advanced `turn(...)` configuration
- `13_model_select_and_turn_params/`
- list models, pick highest model + highest supported reasoning effort, run turns, print message and usage
- `14_turn_controls/`
- separate best-effort `steer()` and `interrupt()` demos with concise summaries