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Lightweight coding agent that runs in your terminal

# Codex App Server SDK — API Reference
Public surface of `codex_app_server` for app-server v2.
This SDK surface is experimental. The current implementation intentionally allows only one active turn consumer (`Thread.run()`, `TurnHandle.stream()`, or `TurnHandle.run()`) per client instance at a time.
## Package Entry
```python
from codex_app_server import (
Codex,
AsyncCodex,
RunResult,
Thread,
AsyncThread,
TurnHandle,
AsyncTurnHandle,
InitializeResponse,
Input,
InputItem,
TextInput,
ImageInput,
LocalImageInput,
SkillInput,
MentionInput,
TurnStatus,
)
from codex_app_server.generated.v2_all import ThreadItem, ThreadTokenUsage
```
- Version: `codex_app_server.__version__`
- Requires Python >= 3.10
- Canonical generated app-server models live in `codex_app_server.generated.v2_all`
## Codex (sync)
```python
Codex(config: AppServerConfig | None = None)
```
Properties/methods:
- `metadata -> InitializeResponse`
- `close() -> None`
- `thread_start(*, approval_policy=None, base_instructions=None, config=None, cwd=None, developer_instructions=None, ephemeral=None, model=None, model_provider=None, personality=None, sandbox=None) -> Thread`
- `thread_list(*, archived=None, cursor=None, cwd=None, limit=None, model_providers=None, sort_key=None, source_kinds=None) -> ThreadListResponse`
- `thread_resume(thread_id: str, *, approval_policy=None, base_instructions=None, config=None, cwd=None, developer_instructions=None, model=None, model_provider=None, personality=None, sandbox=None) -> Thread`
- `thread_fork(thread_id: str, *, approval_policy=None, base_instructions=None, config=None, cwd=None, developer_instructions=None, model=None, model_provider=None, sandbox=None) -> Thread`
- `thread_archive(thread_id: str) -> ThreadArchiveResponse`
- `thread_unarchive(thread_id: str) -> Thread`
- `models(*, include_hidden: bool = False) -> ModelListResponse`
Context manager:
```python
with Codex() as codex:
...
```
## AsyncCodex (async parity)
```python
AsyncCodex(config: AppServerConfig | None = None)
```
Preferred usage:
```python
async with AsyncCodex() as codex:
...
```
`AsyncCodex` initializes lazily. Context entry is the standard path because it
ensures startup and shutdown are paired explicitly.
Properties/methods:
- `metadata -> InitializeResponse`
- `close() -> Awaitable[None]`
- `thread_start(*, approval_policy=None, base_instructions=None, config=None, cwd=None, developer_instructions=None, ephemeral=None, model=None, model_provider=None, personality=None, sandbox=None) -> Awaitable[AsyncThread]`
- `thread_list(*, archived=None, cursor=None, cwd=None, limit=None, model_providers=None, sort_key=None, source_kinds=None) -> Awaitable[ThreadListResponse]`
- `thread_resume(thread_id: str, *, approval_policy=None, base_instructions=None, config=None, cwd=None, developer_instructions=None, model=None, model_provider=None, personality=None, sandbox=None) -> Awaitable[AsyncThread]`
- `thread_fork(thread_id: str, *, approval_policy=None, base_instructions=None, config=None, cwd=None, developer_instructions=None, ephemeral=None, model=None, model_provider=None, sandbox=None) -> Awaitable[AsyncThread]`
- `thread_archive(thread_id: str) -> Awaitable[ThreadArchiveResponse]`
- `thread_unarchive(thread_id: str) -> Awaitable[AsyncThread]`
- `models(*, include_hidden: bool = False) -> Awaitable[ModelListResponse]`
Async context manager:
```python
async with AsyncCodex() as codex:
...
```
## Thread / AsyncThread
`Thread` and `AsyncThread` share the same shape and intent.
### Thread
- `run(input: str | Input, *, approval_policy=None, approvals_reviewer=None, cwd=None, effort=None, model=None, output_schema=None, personality=None, sandbox_policy=None, service_tier=None, summary=None) -> RunResult`
- `turn(input: Input, *, approval_policy=None, cwd=None, effort=None, model=None, output_schema=None, personality=None, sandbox_policy=None, summary=None) -> TurnHandle`
- `read(*, include_turns: bool = False) -> ThreadReadResponse`
- `set_name(name: str) -> ThreadSetNameResponse`
- `compact() -> ThreadCompactStartResponse`
### AsyncThread
- `run(input: str | Input, *, approval_policy=None, approvals_reviewer=None, cwd=None, effort=None, model=None, output_schema=None, personality=None, sandbox_policy=None, service_tier=None, summary=None) -> Awaitable[RunResult]`
- `turn(input: Input, *, approval_policy=None, cwd=None, effort=None, model=None, output_schema=None, personality=None, sandbox_policy=None, summary=None) -> Awaitable[AsyncTurnHandle]`
- `read(*, include_turns: bool = False) -> Awaitable[ThreadReadResponse]`
- `set_name(name: str) -> Awaitable[ThreadSetNameResponse]`
- `compact() -> Awaitable[ThreadCompactStartResponse]`
`run(...)` is the common-case convenience path. It accepts plain strings, starts
the turn, consumes notifications until completion, and returns a small result
object with:
- `final_response: str | None`
- `items: list[ThreadItem]`
- `usage: ThreadTokenUsage | None`
`final_response` is `None` when the turn finishes without a final-answer or
phase-less assistant message item.
Use `turn(...)` when you need low-level turn control (`stream()`, `steer()`,
`interrupt()`) or the canonical generated `Turn` from `TurnHandle.run()`.
## TurnHandle / AsyncTurnHandle
### TurnHandle
- `steer(input: Input) -> TurnSteerResponse`
- `interrupt() -> TurnInterruptResponse`
- `stream() -> Iterator[Notification]`
- `run() -> codex_app_server.generated.v2_all.Turn`
Behavior notes:
- `stream()` and `run()` are exclusive per client instance in the current experimental build
- starting a second turn consumer on the same `Codex` instance raises `RuntimeError`
### AsyncTurnHandle
- `steer(input: Input) -> Awaitable[TurnSteerResponse]`
- `interrupt() -> Awaitable[TurnInterruptResponse]`
- `stream() -> AsyncIterator[Notification]`
- `run() -> Awaitable[codex_app_server.generated.v2_all.Turn]`
Behavior notes:
- `stream()` and `run()` are exclusive per client instance in the current experimental build
- starting a second turn consumer on the same `AsyncCodex` instance raises `RuntimeError`
## Inputs
```python
@dataclass class TextInput: text: str
@dataclass class ImageInput: url: str
@dataclass class LocalImageInput: path: str
@dataclass class SkillInput: name: str; path: str
@dataclass class MentionInput: name: str; path: str
InputItem = TextInput | ImageInput | LocalImageInput | SkillInput | MentionInput
Input = list[InputItem] | InputItem
```
## Generated Models
The SDK wrappers return and accept canonical generated app-server models wherever possible:
```python
from codex_app_server.generated.v2_all import (
AskForApproval,
ThreadReadResponse,
Turn,
TurnStartParams,
TurnStatus,
)
```
## Retry + errors
```python
from codex_app_server import (
retry_on_overload,
JsonRpcError,
MethodNotFoundError,
InvalidParamsError,
ServerBusyError,
is_retryable_error,
)
```
- `retry_on_overload(...)` retries transient overload errors with exponential backoff + jitter.
- `is_retryable_error(exc)` checks if an exception is transient/overload-like.
## Example
```python
from codex_app_server import Codex
with Codex() as codex:
thread = codex.thread_start(model="gpt-5.4", config={"model_reasoning_effort": "high"})
result = thread.run("Say hello in one sentence.")
print(result.final_response)
```