mirror of
https://github.com/openai/codex.git
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f0166cadbb
## Why
`TurnHandle.run()` returned the raw app-server `Turn`, whose live
start/completed payloads do not include loaded `items`, so users saw
empty `items` after starting a turn. That made the handle-based path
behave differently from `Thread.run(...)`, and pushed examples toward
persisted-thread reads plus helper extraction.
This PR makes the run APIs standalone: starting a turn and running it
returns collected turn data directly, or fails visibly when required
stream events are missing.
## What Changed
- Replaces the public `RunResult` export with `TurnResult`.
- Adds turn metadata to `TurnResult`: `id`, `status`, `error`,
`started_at`, `completed_at`, and `duration_ms`, alongside
`final_response`, `items`, and `usage`.
- Changes `TurnHandle.run()` and `AsyncTurnHandle.run()` to consume
stream events with the same collector used by `Thread.run(...)`.
- Exports `TurnError` from `openai_codex.types` for the new result
shape.
- Updates tests, examples, docs, and the walkthrough notebook to use
`result.final_response` and `result.items` directly.
- Removes persisted-thread helper paths and placeholder/skipped control
flows from the public examples and notebook.
## Verification
- `python3 -m py_compile ...` over changed SDK, example, and test Python
files.
- `python3 -c "import json;
json.load(open('sdk/python/notebooks/sdk_walkthrough.ipynb'))"`
- `git diff --check`
- `PYTHONPATH=sdk/python/src python3 -c ...` import/signature smoke for
`TurnResult`, `TurnHandle.run`, and `AsyncTurnHandle.run`.
87 lines
2.8 KiB
Markdown
87 lines
2.8 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 `openai_codex`
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and `openai_codex.types`.
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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 `steer()` and `interrupt()` demos with concise summaries
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- `15_login_and_account/`
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- browser-login handle lifecycle, cancellation, and account inspection
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