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## Why The Python SDK previously protected the stdio transport with a single active turn-consumer guard. That avoided competing reads from stdout, but it also meant one `Codex`/`AsyncCodex` client could not stream multiple active turns at the same time. Notifications could also arrive before the caller received a `TurnHandle` and registered for streaming, so the SDK needed an explicit routing layer instead of letting individual API calls read directly from the shared transport. ## What Changed - Added a private `MessageRouter` that owns per-request response queues, per-turn notification queues, pending turn-notification replay, and global notification delivery behind a single stdout reader thread. - Generated typed notification routing metadata so turn IDs come from known payload shapes instead of router-side attribute guessing, with explicit fallback handling for unknown notification payloads. - Updated sync and async turn streaming so `TurnHandle.stream()`/`run()` and `stream_text()` consume only notifications for their own turn ID, while `AsyncAppServerClient` no longer serializes all transport calls behind one async lock. - Cleared pending turn-notification buffers when unregistered turns complete so never-consumed turn handles do not leave stale queues behind. - Removed the internal stream-until helper now that turn completion waiting can register directly with routed turn notifications. - Updated Python SDK docs and focused tests for concurrent transport calls, interleaved turn routing, buffered early notifications, unknown notification routing, async delegation, and routed turn completion behavior. ## Validation - `uv run --extra dev ruff format scripts/update_sdk_artifacts.py src/codex_app_server/_message_router.py src/codex_app_server/client.py src/codex_app_server/generated/notification_registry.py tests/test_client_rpc_methods.py tests/test_public_api_runtime_behavior.py tests/test_async_client_behavior.py` - `uv run --extra dev ruff check scripts/update_sdk_artifacts.py src/codex_app_server/_message_router.py src/codex_app_server/client.py src/codex_app_server/generated/notification_registry.py tests/test_client_rpc_methods.py tests/test_public_api_runtime_behavior.py tests/test_async_client_behavior.py` - `uv run --extra dev pytest tests/test_client_rpc_methods.py tests/test_public_api_runtime_behavior.py tests/test_async_client_behavior.py` - `git diff --check` --------- Co-authored-by: Codex <noreply@openai.com>
111 lines
3.2 KiB
Markdown
111 lines
3.2 KiB
Markdown
# Getting Started
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This is the fastest path from install to a multi-turn thread using the public SDK surface.
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The SDK is experimental. Treat the API, bundled runtime strategy, and packaging details as unstable until the first public release.
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## 1) Install
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From repo root:
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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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Requirements:
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- Python `>=3.10`
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- uv
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- installed `openai-codex-cli-bin` runtime package, or an explicit `codex_bin` override
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- local Codex auth/session configured
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## 2) Run your first turn (sync)
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```python
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from codex_app_server import Codex
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with Codex() as codex:
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server = codex.metadata.serverInfo
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print("Server:", None if server is None else server.name, None if server is None else server.version)
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thread = codex.thread_start(model="gpt-5.4", config={"model_reasoning_effort": "high"})
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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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What happened:
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- `Codex()` started and initialized `codex app-server`.
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- `thread_start(...)` created a thread.
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- `thread.run("...")` started a turn, consumed events until completion, and returned the final assistant response plus collected items and usage.
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- `result.final_response` is `None` when no final-answer or phase-less assistant message item completes for the turn.
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- use `thread.turn(...)` when you need a `TurnHandle` for streaming, steering, interrupting, or turn IDs/status
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- one client can consume multiple active turns concurrently; turn streams are routed by turn ID
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## 3) Continue the same thread (multi-turn)
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```python
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from codex_app_server import Codex
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with Codex() as codex:
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thread = codex.thread_start(model="gpt-5.4", config={"model_reasoning_effort": "high"})
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first = thread.run("Summarize Rust ownership in 2 bullets.")
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second = thread.run("Now explain it to a Python developer.")
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print("first:", first.final_response)
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print("second:", second.final_response)
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```
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## 4) Async parity
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Use `async with AsyncCodex()` as the normal async entrypoint. `AsyncCodex`
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initializes lazily, and context entry makes startup/shutdown explicit.
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```python
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import asyncio
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from codex_app_server import AsyncCodex
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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(model="gpt-5.4", config={"model_reasoning_effort": "high"})
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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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## 5) Resume an existing thread
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```python
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from codex_app_server import Codex
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THREAD_ID = "thr_123" # replace with a real id
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with Codex() as codex:
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thread = codex.thread_resume(THREAD_ID)
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result = thread.run("Continue where we left off.")
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print(result.final_response)
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```
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## 6) Generated models
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The convenience wrappers live at the package root, but the canonical app-server models live under:
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```python
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from codex_app_server.generated.v2_all import Turn, TurnStatus, ThreadReadResponse
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```
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## 7) Next stops
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- API surface and signatures: `docs/api-reference.md`
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- Common decisions/pitfalls: `docs/faq.md`
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- End-to-end runnable examples: `examples/README.md`
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