mirror of
https://github.com/openai/codex.git
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## What changed Add a downstream workflow that builds the Python SDK and runtime from the stable CLI release commit, using the CLI version for both packages and the SDK's exact runtime dependency. Publish and verify the runtime on PyPI before publishing the SDK. Require a successful CLI `release` job, an unchanged release tag, and complete runtime assets. Skip CLI prereleases and allow publication despite unrelated publisher failures. Support retries by CLI workflow run ID and accept existing PyPI uploads while verifying the complete release. Document release setup, retry procedures, and independent SDK releases. ## Testing Add resolver unit tests covering tag resolution, prerelease skipping, partial reruns, pagination, invalid runs, moved tags, missing assets, and equivalent automatic and manual release resolution. GitOrigin-RevId: 4ec6b2e77c94c851507dbe7200ea420994fce36e
167 lines
3.9 KiB
Markdown
167 lines
3.9 KiB
Markdown
# Getting Started
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This guide gets a published OpenAI Codex Python SDK installation running
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with a multi-turn thread.
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## 1. Install
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Install the SDK:
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```bash
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pip install openai-codex
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```
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Requirements:
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- Python `>=3.10`
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- An existing Codex account session, or one of the login flows below
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The SDK installs its matching `openai-codex-cli-bin` runtime dependency
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automatically. Stable SDK releases track the corresponding stable Codex CLI release.
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## 2. Authenticate When Needed
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Existing Codex authentication is reused automatically. For ChatGPT browser
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login:
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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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login = codex.login_chatgpt()
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print(login.auth_url)
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print(login.wait().success)
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```
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For device-code login:
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```python
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with Codex() as codex:
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login = codex.login_chatgpt_device_code()
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print(login.verification_url, login.user_code)
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print(login.wait().success)
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```
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For API-key login:
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```python
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with Codex() as codex:
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codex.login_api_key("sk-...")
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print(codex.account().account)
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```
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## 3. Run A Turn
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```python
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from openai_codex import Codex, Sandbox
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with Codex() as codex:
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thread = codex.thread_start(sandbox=Sandbox.workspace_write)
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result = thread.run("Say hello in one sentence.")
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print("Thread:", thread.id)
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print("Text:", result.final_response)
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print("Items:", len(result.items))
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```
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`Thread.run(...)` starts a turn, waits for completion, and returns
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`TurnResult`. Plain strings are shorthand for `TextInput(...)`.
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Use `Thread.turn(...)` when you need a `TurnHandle` for streaming, steering,
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or interrupting an active turn.
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## 4. Choose Sandbox Access
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Use one enum for the initial thread and later turn overrides:
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```python
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from openai_codex import Codex, Sandbox
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with Codex() as codex:
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thread = codex.thread_start(sandbox=Sandbox.workspace_write)
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thread.run("Make the requested changes.")
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review = thread.run("Review the diff only.", sandbox=Sandbox.read_only)
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```
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Available presets:
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- `Sandbox.read_only`: read files without allowing writes.
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- `Sandbox.workspace_write`: read files and write inside the workspace and
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configured writable roots; this is the normal default for workspace work.
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- `Sandbox.full_access`: run without filesystem access restrictions.
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When `sandbox=` is omitted, Codex uses its configured default. A turn override
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also applies to subsequent turns on that thread.
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## 5. Continue A Thread
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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()
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thread.run("Summarize Rust ownership in two bullets.")
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result = thread.run("Now explain it to a Python developer.")
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print(result.final_response)
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```
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To resume a stored thread later:
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```python
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with Codex() as codex:
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thread = codex.thread_resume("thr_123")
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print(thread.run("Continue where we left off.").final_response)
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```
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## 6. Use The Async Client
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```python
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import asyncio
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from openai_codex import AsyncCodex, Sandbox
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async def main() -> None:
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async with AsyncCodex() as codex:
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thread = await codex.thread_start(sandbox=Sandbox.workspace_write)
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result = await thread.run("Continue where we left off.")
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print(result.final_response)
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asyncio.run(main())
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```
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## 7. Get Help
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Python's built-in documentation tools cover the curated SDK surface:
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```python
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import openai_codex
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from openai_codex import Codex, CodexConfig
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help(openai_codex)
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help(Codex)
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help(CodexConfig)
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```
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```bash
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python -m pydoc openai_codex
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```
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## Developing From This Repository
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Contributors working from a checkout can install development dependencies from
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the repository:
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```bash
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cd sdk/python
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uv sync --group dev
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source .venv/bin/activate
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```
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## Next Stops
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- [API reference](https://github.com/openai/codex/blob/main/sdk/python/docs/api-reference.md)
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- [FAQ](https://github.com/openai/codex/blob/main/sdk/python/docs/faq.md)
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- [Runnable examples](https://github.com/openai/codex/blob/main/sdk/python/examples/README.md)
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