Our history is just-every's with author emails rewritten, so the graphs are
disjoint and git finds no merge base. Supplied one by hand: d1f1f51a41, the
just-every commit matching our Oct-2025 fork point (22 files apart). 9618
upstream commits, 7004 files, +1.81M/-159k, 37 conflicts.
Resolution:
- Upstream code where our side was the Oct-2025 prototype of a feature they
have since reimplemented 3-5x larger (agent_runs, browser_sessions,
history_cell/{agent,browser}, the vt100 harness and its snapshots).
- Upstream's config.rs module split (builder/defaults/sources/validation)
kept; zen5-coder and the provider-follows-model rule re-applied on top.
- Ours where the file IS the identity: README, package.json, postinstall,
release notes pipeline, integration-zed.
- Hybrid where upstream improved a file we had branded: updates.rs (their
release-repo migration, our hanzoai/dev), release.yml (their fail-fast npm
auth check, our package name), chatwidget.rs (their turn handling, our
HANZO_USER_KEY hint), exec human output (their 237 lines, our banner).
Superseded and dropped deliberately: our resume_command_name() coder-alias
hack — upstream's derive_resume_command_name() reads the invocation basename
generically, which yields "dev" for us.
LLM.md now records the real topology and the sync point; AGENTS.md and
CLAUDE.md are symlinks to it again. Single parent on purpose: adopting
jecode/main as a second parent would re-import 13,742 commits carrying the
upstream author emails a prior rewrite deliberately removed.
Version 0.2.188 -> 0.2.189.
Co-authored-by: Hanzo Dev <[email protected]>
3.7 KiB
FAQ
Thread vs turn
- A
Threadis conversation state. - A
Turnis one model execution inside that thread. - Multi-turn chat means multiple turns on the same
Thread.
run() vs stream()
TurnHandle.run()/AsyncTurnHandle.run()is the easiest path. It consumes events until completion and returns the canonical generated app-serverTurnmodel.TurnHandle.stream()/AsyncTurnHandle.stream()yields raw notifications (Notification) so you can react event-by-event.
Choose run() for most apps. Choose stream() for progress UIs, custom timeout logic, or custom parsing.
Sync vs async clients
Codexis the sync public API.AsyncCodexis an async replica of the same public API shape.- Prefer
async with AsyncCodex()for async code. It is the standard path for explicit startup/shutdown, andAsyncCodexinitializes lazily on context entry or first awaited API use.
If your app is not already async, stay with Codex.
Public kwargs are snake_case
Public API keyword names are snake_case. The SDK still maps them to wire camelCase under the hood.
If you are migrating older code, update these names:
approvalPolicy->approval_policybaseInstructions->base_instructionsdeveloperInstructions->developer_instructionsmodelProvider->model_providermodelProviders->model_providerssortKey->sort_keysourceKinds->source_kindsoutputSchema->output_schemasandboxPolicy->sandbox_policy
Why only thread_start(...) and thread_resume(...)?
The public API keeps only explicit lifecycle calls:
thread_start(...)to create new threadsthread_resume(thread_id, ...)to continue existing threads
This avoids duplicate ways to do the same operation and keeps behavior explicit.
Why does constructor fail?
Codex() is eager: it starts transport and calls initialize in __init__.
Common causes:
- published runtime package (
openai-codex-cli-bin) is not installed - local
codex_binoverride points to a missing file - local auth/session is missing
- incompatible/old app-server
Maintainers stage releases by building the SDK once and the runtime once per
platform with the same pinned runtime version. Publish openai-codex-cli-bin
as platform wheels only; do not publish an sdist:
cd sdk/python
python scripts/update_sdk_artifacts.py generate-types
python scripts/update_sdk_artifacts.py \
stage-sdk \
/tmp/codex-python-release/openai-codex-app-server-sdk \
--codex-version <codex-release-tag-or-pep440-version>
python scripts/update_sdk_artifacts.py \
stage-runtime \
/tmp/codex-python-release/openai-codex-cli-bin \
/path/to/codex \
--codex-version <codex-release-tag-or-pep440-version>
If you are packaging a binary for a different target than the Python build
host, pass --platform-tag ... to stage-runtime. The intended one-off matrix
is macosx_11_0_arm64, macosx_10_9_x86_64, musllinux_1_1_aarch64,
musllinux_1_1_x86_64, win_arm64, and win_amd64.
Why does a turn "hang"?
A turn is complete only when turn/completed arrives for that turn ID.
run()waits for this automatically.- With
stream(), keep consuming notifications until completion.
How do I retry safely?
Use retry_on_overload(...) for transient overload failures (ServerBusyError).
Do not blindly retry all errors. For InvalidParamsError or MethodNotFoundError, fix inputs/version compatibility instead.
Common pitfalls
- Starting a new thread for every prompt when you wanted continuity.
- Forgetting to
close()(or not using context managers). - Assuming
run()returns extra SDK-only fields instead of the generatedTurnmodel. - Mixing SDK input classes with raw dicts incorrectly.