mirror of
https://github.com/openai/codex.git
synced 2026-05-20 19:23:21 +00:00
e7bffc5a20
## Summary
- Allow thread.turn and turn.steer, including async variants, to accept
RunInput so plain strings work alongside typed input objects.
- Export RunInput and update the SDK artifact generator so regenerated
turn methods keep the same signature and normalization.
- Update docs, examples, notebook cells, and tests to use string
shorthand for text-only turns while keeping typed inputs for multimodal
input.
## Validation
- uv run --extra dev ruff format .
- uv run --extra dev ruff check --output-format=github .
- python3 -m py_compile sdk/python/src/openai_codex/__init__.py
sdk/python/src/openai_codex/api.py
sdk/python/src/openai_codex/_inputs.py
sdk/python/scripts/update_sdk_artifacts.py
sdk/python/tests/test_public_api_signatures.py
sdk/python/tests/test_app_server_streaming.py
sdk/python/tests/test_app_server_turn_controls.py
sdk/python/tests/test_real_app_server_integration.py
- python3 -c "import json;
json.load(open('sdk/python/notebooks/sdk_walkthrough.ipynb'))"
- sdk/python/.venv/bin/python -c "import inspect, openai_codex; from
openai_codex import Thread, AsyncThread, TurnHandle, AsyncTurnHandle,
RunInput; funcs=[Thread.run, Thread.turn, AsyncThread.run,
AsyncThread.turn, TurnHandle.steer, AsyncTurnHandle.steer]; assert
all(inspect.signature(fn).parameters['input'].annotation == 'RunInput'
for fn in funcs); assert RunInput is openai_codex.RunInput"
141 lines
4.0 KiB
Markdown
141 lines
4.0 KiB
Markdown
# Getting Started
|
|
|
|
This is the fastest path from install to a multi-turn thread using the public SDK surface.
|
|
|
|
The SDK is experimental, so the public API and runtime requirements may keep evolving before the first public release.
|
|
|
|
## 1) Install
|
|
|
|
From repo root:
|
|
|
|
```bash
|
|
cd sdk/python
|
|
uv sync
|
|
source .venv/bin/activate
|
|
```
|
|
|
|
Requirements:
|
|
|
|
- Python `>=3.10`
|
|
- uv
|
|
- installed `openai-codex-cli-bin` runtime package, or an explicit `codex_bin` override
|
|
|
|
## 2) Authenticate when needed
|
|
|
|
Existing Codex auth state is reused automatically. To authenticate from the SDK,
|
|
use the flow that fits your app:
|
|
|
|
```python
|
|
from openai_codex import Codex
|
|
|
|
with Codex() as codex:
|
|
codex.login_api_key("sk-...")
|
|
account = codex.account()
|
|
print(account.account)
|
|
```
|
|
|
|
Interactive ChatGPT browser login returns a handle that carries the URL and the
|
|
matching completion event:
|
|
|
|
```python
|
|
with Codex() as codex:
|
|
login = codex.login_chatgpt()
|
|
print(login.auth_url)
|
|
completed = login.wait()
|
|
print(completed.success)
|
|
```
|
|
|
|
Device-code login works the same way with
|
|
`login_chatgpt_device_code()`, which exposes `verification_url`, `user_code`,
|
|
and `wait()`.
|
|
|
|
## 3) Run your first turn (sync)
|
|
|
|
```python
|
|
from openai_codex import Codex
|
|
|
|
with Codex() as codex:
|
|
server = codex.metadata.serverInfo
|
|
print("Server:", None if server is None else server.name, None if server is None else server.version)
|
|
|
|
thread = codex.thread_start(model="gpt-5.4", config={"model_reasoning_effort": "high"})
|
|
result = thread.run("Say hello in one sentence.")
|
|
|
|
print("Thread:", thread.id)
|
|
print("Text:", result.final_response)
|
|
print("Items:", len(result.items))
|
|
```
|
|
|
|
What happened:
|
|
|
|
- `Codex()` started and initialized `codex app-server`.
|
|
- `thread_start(...)` created a thread.
|
|
- `thread.run("...")` started a turn, consumed events until completion, and returned `TurnResult` with turn metadata, final assistant response, collected items, and usage.
|
|
- `result.final_response` is `None` when no final-answer or phase-less assistant message item completes for the turn.
|
|
- plain strings are accepted anywhere a turn input is accepted; typed inputs are still available for multimodal and structured cases
|
|
- use `thread.turn(...)` when you need a `TurnHandle` for streaming, steering, or interrupting before collecting `TurnResult`
|
|
- one client can consume multiple active turns concurrently; turn streams are routed by turn ID
|
|
|
|
## 4) Continue the same thread (multi-turn)
|
|
|
|
```python
|
|
from openai_codex import Codex
|
|
|
|
with Codex() as codex:
|
|
thread = codex.thread_start(model="gpt-5.4", config={"model_reasoning_effort": "high"})
|
|
|
|
first = thread.run("Summarize Rust ownership in 2 bullets.")
|
|
second = thread.run("Now explain it to a Python developer.")
|
|
|
|
print("first:", first.final_response)
|
|
print("second:", second.final_response)
|
|
```
|
|
|
|
## 5) Async parity
|
|
|
|
Use `async with AsyncCodex()` as the normal async entrypoint. `AsyncCodex`
|
|
initializes lazily, and context entry makes startup/shutdown explicit.
|
|
|
|
```python
|
|
import asyncio
|
|
from openai_codex import AsyncCodex
|
|
|
|
|
|
async def main() -> None:
|
|
async with AsyncCodex() as codex:
|
|
thread = await codex.thread_start(model="gpt-5.4", config={"model_reasoning_effort": "high"})
|
|
result = await thread.run("Continue where we left off.")
|
|
print(result.final_response)
|
|
|
|
|
|
asyncio.run(main())
|
|
```
|
|
|
|
## 6) Resume an existing thread
|
|
|
|
```python
|
|
from openai_codex import Codex
|
|
|
|
THREAD_ID = "thr_123" # replace with a real id
|
|
|
|
with Codex() as codex:
|
|
thread = codex.thread_resume(THREAD_ID)
|
|
result = thread.run("Continue where we left off.")
|
|
print(result.final_response)
|
|
```
|
|
|
|
## 7) Public app-server types
|
|
|
|
The convenience wrappers live at the package root. Public app-server value and
|
|
event types live under:
|
|
|
|
```python
|
|
from openai_codex.types import ThreadReadResponse, Turn, TurnStatus
|
|
```
|
|
|
|
## 8) Next stops
|
|
|
|
- API surface and signatures: `docs/api-reference.md`
|
|
- Common decisions/pitfalls: `docs/faq.md`
|
|
- End-to-end runnable examples: `examples/README.md`
|