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[codex] Rename Python SDK AppServerConfig to CodexConfig (#24800)
## Why
`AppServerConfig` is exported as part of the ergonomic Python SDK
surface and passed to `Codex(...)` and `AsyncCodex(...)`. That name
exposes the underlying app-server transport at the same layer where
users are configuring the Codex client. `CodexConfig` makes the common
callsite read naturally and names the object it configures.
## What changed
- Renamed the public configuration dataclass from `AppServerConfig` to
`CodexConfig`.
- Updated `Codex`, `AsyncCodex`, and the transport clients to accept
`CodexConfig`.
- Updated binary-resolution messages, package exports, docs, examples,
and related coverage to use the new public name.
## API impact
```python
from openai_codex import Codex, CodexConfig
with Codex(config=CodexConfig(codex_bin="/path/to/codex")) as codex:
...
```
Callers should now import and construct `CodexConfig`; `AppServerConfig`
is no longer part of the Python SDK surface.
## Validation
- `uv run --frozen --extra dev ruff check src/openai_codex scripts
examples tests`
- Tests are deferred to online CI for this PR.
This commit is contained in:
@@ -4,8 +4,8 @@ Experimental Python SDK for `codex app-server` JSON-RPC v2 over stdio, with a sm
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The generated wire-model layer is sourced from the pinned `openai-codex-cli-bin`
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runtime package and exposed as Pydantic models with snake_case Python fields
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that serialize back to the app-server’s camelCase wire format.
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The package root exports the ergonomic client API; public app-server value and
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that serialize back to the protocol's camelCase wire format.
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The package root exports the ergonomic client API; public Codex protocol value and
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event types live in `openai_codex.types`.
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## Install
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@@ -17,7 +17,7 @@ source .venv/bin/activate
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```
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Published SDK builds pin an exact `openai-codex-cli-bin` runtime dependency
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with the same version as the SDK. Pass `AppServerConfig(codex_bin=...)` only
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with the same version as the SDK. Pass `CodexConfig(codex_bin=...)` only
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when you intentionally want to run against a specific local app-server binary.
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## Quickstart
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@@ -26,7 +26,7 @@ when you intentionally want to run against a specific local app-server binary.
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from openai_codex import Codex, Sandbox
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with Codex() as codex:
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# Call login_api_key(...) first when this app-server session is not
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# Call login_api_key(...) first when this Codex session is not
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# already authenticated.
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thread = codex.thread_start(model="gpt-5", sandbox=Sandbox.workspace_write)
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result = thread.run("Say hello in one sentence.")
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@@ -57,7 +57,7 @@ Available presets:
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- `Sandbox.workspace_write`: the normal default for projects with a recorded trust decision; read files and write inside the workspace and configured writable roots.
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- `Sandbox.full_access`: run without filesystem access restrictions.
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When `sandbox=` is omitted, app-server uses its configured default. A sandbox
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When `sandbox=` is omitted, Codex uses its configured default. A sandbox
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passed to `run(...)` or `turn(...)` applies to that turn and subsequent turns
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on the thread.
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@@ -87,7 +87,7 @@ with Codex() as codex:
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Use `login_chatgpt_device_code()` for device-code auth, `handle.cancel()` to
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stop an in-progress interactive login, and `logout()` to clear the active
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app-server account session.
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Codex account session.
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## Docs map
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