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## Why The Python SDK depends on the app-server runtime package for the bundled `codex` binary and schema source of truth. That relationship should be explicit in package metadata instead of inferred from matching version numbers, so installers, lockfiles, and reviewers can see exactly which runtime the SDK expects. ## What - Declare `openai-codex-cli-bin==0.131.0a4` as a Python SDK dependency. - Update runtime setup helpers to resolve the runtime version from the declared dependency pin. - Refresh the SDK lockfile for the pinned runtime wheel. - Update package/runtime tests and docs that describe where the runtime version comes from. ## Stack 1. This PR `[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. #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 coverage for the SDK runtime dependency pin and runtime distribution naming. --------- Co-authored-by: Codex <noreply@openai.com>
84 lines
2.7 KiB
Markdown
84 lines
2.7 KiB
Markdown
# Python SDK Examples
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Each example folder contains runnable versions:
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- `sync.py` (public sync surface: `Codex`)
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- `async.py` (public async surface: `AsyncCodex`)
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All examples intentionally use only public SDK exports from `codex_app_server`.
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## Prerequisites
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- Python `>=3.10`
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- Install SDK dependencies for the same Python interpreter you will use to run examples
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Recommended setup (from `sdk/python`):
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```bash
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uv sync
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source .venv/bin/activate
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```
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When running examples from this repo checkout, the SDK source uses the local
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tree and does not bundle a runtime binary. The helper in `examples/_bootstrap.py`
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uses the installed `openai-codex-cli-bin` runtime package.
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If the pinned `openai-codex-cli-bin` runtime is not already installed, the bootstrap
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will download the matching GitHub release artifact, stage a temporary local
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`openai-codex-cli-bin` package, install it into your active interpreter, and clean up
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the temporary files afterward.
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The pinned runtime version comes from the SDK package dependency.
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## Run examples
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From `sdk/python`:
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```bash
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python examples/<example-folder>/sync.py
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python examples/<example-folder>/async.py
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```
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The examples bootstrap local imports from `sdk/python/src` automatically, so no
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SDK wheel install is required. You only need the Python dependencies for your
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active interpreter and an installed `openai-codex-cli-bin` runtime package (either
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already present or automatically provisioned by the bootstrap).
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## Recommended first run
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```bash
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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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## Index
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- `01_quickstart_constructor/`
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- first run / sanity check
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- `02_turn_run/`
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- inspect full turn output fields
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- `03_turn_stream_events/`
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- stream a turn with a small curated event view
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- `04_models_and_metadata/`
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- discover visible models for the connected runtime
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- `05_existing_thread/`
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- resume a real existing thread (created in-script)
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- `06_thread_lifecycle_and_controls/`
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- thread lifecycle + control calls
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- `07_image_and_text/`
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- remote image URL + text multimodal turn
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- `08_local_image_and_text/`
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- local image + text multimodal turn using a generated temporary sample image
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- `09_async_parity/`
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- parity-style sync flow (see async parity in other examples)
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- `10_error_handling_and_retry/`
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- overload retry pattern + typed error handling structure
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- `11_cli_mini_app/`
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- interactive chat loop
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- `12_turn_params_kitchen_sink/`
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- structured output with a curated advanced `turn(...)` configuration
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- `13_model_select_and_turn_params/`
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- list models, pick highest model + highest supported reasoning effort, run turns, print message and usage
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- `14_turn_controls/`
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- separate best-effort `steer()` and `interrupt()` demos with concise summaries
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