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## 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>
116 lines
4.0 KiB
Markdown
116 lines
4.0 KiB
Markdown
# OpenAI Codex Python SDK (Experimental)
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Experimental Python SDK for `codex app-server` JSON-RPC v2 over stdio, with a small default surface optimized for real scripts and apps.
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The generated wire-model layer is sourced from the pinned `openai-codex-cli-bin`
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runtime package and exposed as Pydantic models with snake_case Python fields
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that serialize back to the app-server’s camelCase wire format.
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The package root exports the ergonomic client API; public app-server value and
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event types live in `openai_codex.types`.
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## Install
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```bash
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cd sdk/python
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uv sync
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source .venv/bin/activate
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```
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Published SDK builds pin an exact `openai-codex-cli-bin` runtime dependency
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with the same version as the SDK. For local repo development, either pass
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`AppServerConfig(codex_bin=...)` to point at a local build explicitly, or use
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the repo examples/notebook bootstrap which installs the pinned runtime package
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automatically.
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## Quickstart
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```python
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from openai_codex import Codex
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with Codex() as codex:
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thread = codex.thread_start(model="gpt-5")
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result = thread.run("Say hello in one sentence.")
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print(result.final_response)
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print(len(result.items))
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```
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`result.final_response` is `None` when the turn completes without a final-answer
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or phase-less assistant message item.
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## Docs map
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- Golden path tutorial: `docs/getting-started.md`
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- API reference (signatures + behavior): `docs/api-reference.md`
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- Common decisions and pitfalls: `docs/faq.md`
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- Runnable examples index: `examples/README.md`
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- Jupyter walkthrough notebook: `notebooks/sdk_walkthrough.ipynb`
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## Examples
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Start here:
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```bash
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cd sdk/python
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python examples/01_quickstart_constructor/sync.py
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python examples/01_quickstart_constructor/async.py
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```
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## Runtime packaging
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The repo no longer checks `codex` binaries into `sdk/python`.
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Published SDK builds are pinned to an exact `openai-codex-cli-bin` package
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version, and that runtime package carries the platform-specific binary for the
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target wheel. The SDK package version and runtime package version must match.
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For local repo development, the checked-in `sdk/python-runtime` package is only
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a template for staged release artifacts. Editable installs should use an
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explicit `codex_bin` override for manual SDK usage; the repo examples and
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notebook bootstrap the pinned runtime package automatically.
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## Maintainer workflow
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```bash
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cd sdk/python
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uv sync
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python scripts/update_sdk_artifacts.py generate-types
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python scripts/update_sdk_artifacts.py \
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stage-sdk \
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/tmp/codex-python-release/openai-codex \
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--codex-version <codex-release-tag-or-pep440-version>
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python scripts/update_sdk_artifacts.py \
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stage-runtime \
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/tmp/codex-python-release/openai-codex-cli-bin \
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/path/to/codex \
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--codex-version <codex-release-tag-or-pep440-version>
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```
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Pass `--platform-tag ...` to `stage-runtime` when the wheel should be tagged for
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a Rust target that differs from the Python build host. The intended one-off
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matrix is `macosx_11_0_arm64`, `macosx_10_9_x86_64`,
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`musllinux_1_1_aarch64`, `musllinux_1_1_x86_64`, `win_arm64`, and
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`win_amd64`.
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This supports the CI release flow:
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- run `generate-types` before packaging
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- stage `openai-codex` once with an exact `openai-codex-cli-bin==...` dependency
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- stage `openai-codex-cli-bin` on each supported platform runner with the same pinned runtime version
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- build and publish `openai-codex-cli-bin` as platform wheels only through PyPI trusted publishing; do not publish an sdist
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## Compatibility and versioning
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- Package: `openai-codex`
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- Runtime package: `openai-codex-cli-bin`
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- Python: `>=3.10`
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- Target protocol: Codex `app-server` JSON-RPC v2
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- Versioning rule: the SDK package version is the underlying Codex runtime version
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## Notes
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- `Codex()` is eager and performs startup + `initialize` in the constructor.
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- Use context managers (`with Codex() as codex:`) to ensure shutdown.
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- Prefer `thread.run("...")` for the common case. Use `thread.turn(...)` when
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you need streaming, steering, or interrupt control.
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- For transient overload, use `retry_on_overload` from the package root.
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