Implement Apex Agent MVP scaffold

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2026-07-06 13:22:15 +08:00
commit 02ef4d23f2
49 changed files with 2767 additions and 0 deletions
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from __future__ import annotations
from dataclasses import dataclass
from datetime import datetime
from typing import Any
from storage.artifact_store import ArtifactStore
@dataclass(frozen=True)
class TimelineRecord:
index: int
scene: dict[str, Any]
prompt: str
tool_call: dict[str, Any]
result: dict[str, Any]
timestamp: str
screenshot_path: str | None = None
class Timeline:
def __init__(self, artifact_store: ArtifactStore | None = None) -> None:
self.artifact_store = artifact_store or ArtifactStore()
def append(
self,
*,
task_id: str,
scene: Any,
prompt: str,
tool_call: dict[str, Any],
result: dict[str, Any],
screenshot: bytes | None = None,
) -> TimelineRecord:
index = len(self.read(task_id)) + 1
record = {
"index": index,
"scene": scene,
"prompt": prompt,
"tool_call": tool_call,
"result": result,
"timestamp": datetime.now().astimezone().isoformat(),
}
paths = self.artifact_store.write_step(
task_id=task_id,
index=index,
screenshot=screenshot,
record=record,
)
return TimelineRecord(
index=index,
scene=record["scene"],
prompt=prompt,
tool_call=tool_call,
result=result,
timestamp=record["timestamp"],
screenshot_path=paths["screenshot_path"],
)
def read(self, task_id: str) -> list[dict[str, Any]]:
return self.artifact_store.read_steps(task_id)