feat: 添加 Agent 步骤事件与图片附件功能

- 新增 stepStarted/stepFinished 事件类型支持
- 前端实现图片附件上传和预览功能
- 后端增强工具结果存储和事件处理
- 完善相关单元测试和集成测试
This commit is contained in:
zl-q
2026-03-12 09:29:57 +08:00
parent 87215f9d41
commit 7b8865e256
45 changed files with 3869 additions and 308 deletions
@@ -37,6 +37,21 @@ def to_agui_wire_event(event: dict[str, Any]) -> dict[str, Any]:
data = event.get("data")
if isinstance(data, dict):
if event_type == "tool.result":
for key in (
"messageId",
"toolCallId",
"callId",
"toolName",
"stage",
"taskId",
"ui",
"content",
):
value = data.get(key)
if value is not None:
payload[key] = value
return payload
reserved = {"type", "threadId", "runId"}
data_map = cast(dict[str, Any], data)
payload.update({k: v for k, v in data_map.items() if k not in reserved})
+171 -15
View File
@@ -1,11 +1,14 @@
from __future__ import annotations
import json
import re
from decimal import Decimal, InvalidOperation
from typing import Any, Callable, Protocol
from uuid import UUID
from uuid import UUID, uuid4
from core.agentscope.events.tool_result_summary import build_tool_content_summary
from core.agentscope.events.persistence import MessageRepository, SessionRepository
from core.logging import get_logger
from models.agent_chat_message import AgentChatMessageRole
from models.agent_chat_session import AgentChatSessionStatus
@@ -14,6 +17,16 @@ class EventStore(Protocol):
async def persist(self, event: dict[str, Any]) -> None: ...
class ToolResultStorageLike(Protocol):
async def upload_json(
self,
*,
bucket: str,
path: str,
payload: dict[str, object],
) -> str: ...
class NullEventStore:
async def persist(self, event: dict[str, Any]) -> None:
del event
@@ -21,9 +34,20 @@ class NullEventStore:
class SqlAlchemyEventStore:
_session_factory: Callable[[], Any]
_tool_result_storage: ToolResultStorageLike | None
_tool_result_bucket: str | None
_logger = get_logger("core.agentscope.events.store")
def __init__(self, *, session_factory: Any) -> None:
def __init__(
self,
*,
session_factory: Any,
tool_result_storage: ToolResultStorageLike | None = None,
tool_result_bucket: str | None = None,
) -> None:
self._session_factory = session_factory
self._tool_result_storage = tool_result_storage
self._tool_result_bucket = tool_result_bucket
self._message_buffers: dict[tuple[str, str], str] = {}
self._message_contexts: dict[tuple[str, str], dict[str, object]] = {}
@@ -228,23 +252,89 @@ class SqlAlchemyEventStore:
if not isinstance(tool_name, str) or not tool_name:
return
payload = {
"args": event.get("args"),
"result": event.get("result"),
"error": event.get("error"),
"call_id": event.get("callId"),
}
content = json.dumps(payload, ensure_ascii=False, separators=(",", ":"))
metadata: dict[str, object] = {"tool_name": tool_name}
run_id = event.get("runId")
if isinstance(run_id, str) and run_id:
metadata["run_id"] = run_id
run_id_value = run_id if isinstance(run_id, str) and run_id else ""
task_id = event.get("taskId")
task_id_value = task_id if isinstance(task_id, str) and task_id else "task"
call_id_value = event.get("callId")
if not isinstance(call_id_value, str) or not call_id_value:
call_id_value = (
f"{run_id_value}-{task_id_value}-{uuid4().hex[:8]}"
if run_id_value
else f"{task_id_value}-{uuid4().hex[:8]}"
)
summary = build_tool_content_summary(
tool_name=tool_name,
args=event.get("args") if isinstance(event.get("args"), dict) else None,
result=event.get("result"),
error=event.get("error"),
)
raw_result_value = event.get("result")
raw_result: dict[str, object] = (
raw_result_value if isinstance(raw_result_value, dict) else {}
)
ui_candidate = raw_result.get("ui")
ui_schema = ui_candidate if isinstance(ui_candidate, dict) else None
result_type = raw_result.get("type")
result_data = raw_result.get("data")
if (
ui_schema is None
and isinstance(result_type, str)
and isinstance(result_data, dict)
):
ui_schema = raw_result
payload: dict[str, object] = {
"toolName": tool_name,
"ui_schema": ui_schema,
"result": _sanitize_result(raw_result),
"error": _sanitize_error(event.get("error")),
"callId": call_id_value,
"runId": run_id_value,
"taskId": task_id_value,
"content": summary,
}
metadata: dict[str, object] = {
"tool_name": tool_name,
"tool_call_id": call_id_value,
"summary_version": "v1",
}
if run_id_value:
metadata["run_id"] = run_id_value
stage = event.get("stage")
if isinstance(stage, str) and stage:
metadata["stage"] = stage
task_id = event.get("taskId")
if isinstance(task_id, str) and task_id:
metadata["task_id"] = task_id
if task_id_value:
metadata["task_id"] = task_id_value
if self._tool_result_storage is not None and self._tool_result_bucket:
safe_run = _sanitize_path_component(run_id_value or "run")
safe_call = _sanitize_path_component(call_id_value)
storage_path = f"tool-results/{session_id}/{safe_run}/{safe_call}.json"
try:
await self._tool_result_storage.upload_json(
bucket=self._tool_result_bucket,
path=storage_path,
payload=payload,
)
metadata["storage_bucket"] = self._tool_result_bucket
metadata["storage_path"] = storage_path
except Exception: # noqa: BLE001
metadata["storage_upload_failed"] = True
self._logger.warning(
"tool result storage upload failed",
session_id=str(session_id),
run_id=run_id_value,
call_id=call_id_value,
storage_path=storage_path,
)
content = summary or json.dumps(
payload, ensure_ascii=False, separators=(",", ":")
)
locked_session = await session_repo.lock_session_for_update(
session_id=session_id
@@ -333,3 +423,69 @@ class SqlAlchemyEventStore:
except (InvalidOperation, TypeError, ValueError):
return Decimal("0")
return parsed if parsed >= 0 else Decimal("0")
def _sanitize_path_component(value: str) -> str:
compact = re.sub(r"[^A-Za-z0-9._-]", "-", value.strip())
compact = compact.strip(".-")
return compact or "id"
def _sanitize_error(value: object) -> str | None:
if isinstance(value, str) and value.strip():
return " ".join(value.split())[:300]
if isinstance(value, dict):
for key in ("message", "error", "detail"):
item = value.get(key)
if isinstance(item, str) and item.strip():
return " ".join(item.split())[:300]
return None
def _sanitize_result(value: object) -> dict[str, object]:
if not isinstance(value, dict):
return {}
def _is_sensitive_key(key: str) -> bool:
normalized = key.strip().lower().replace("-", "_")
if not normalized:
return False
exact = {
"password",
"token",
"secret",
"api_key",
"apikey",
"credential",
"authorization",
"auth",
}
if normalized in exact:
return True
patterns = (
"password",
"token",
"secret",
"auth",
"credential",
"api_key",
"apikey",
"authorization",
)
return any(pattern in normalized for pattern in patterns)
def _sanitize_value(item: object) -> object:
if isinstance(item, dict):
return _sanitize_result(item)
if isinstance(item, list):
return [_sanitize_value(entry) for entry in item]
return item
sanitized: dict[str, object] = {}
for key, item in value.items():
key_text = str(key)
if _is_sensitive_key(key_text):
sanitized[str(key)] = "[REDACTED]"
continue
sanitized[str(key)] = _sanitize_value(item)
return sanitized
@@ -0,0 +1,124 @@
from __future__ import annotations
from typing import Any
def build_tool_content_summary(
*,
tool_name: str,
args: dict[str, Any] | None,
result: Any,
error: Any,
) -> str:
error_message = _extract_error_message(error)
if error_message is not None:
return _truncate(f"{tool_name} 执行失败:{error_message}")
normalized_args = args if isinstance(args, dict) else {}
normalized_result = result if isinstance(result, dict) else {}
business_failure = _extract_business_failure_message(normalized_result)
if business_failure is not None:
return _truncate(f"{tool_name} 执行失败:{business_failure}")
if tool_name == "calendar_write":
title = _pick_first_str(normalized_result, ("title",)) or _pick_first_str(
normalized_args, ("title",)
)
start_at = _pick_first_str(normalized_result, ("startAt", "start_at"))
if title and start_at:
return _truncate(f"已创建日程:{title}{start_at}")
if title:
return _truncate(f"已创建日程:{title}")
if tool_name == "calendar_read":
total = _extract_total(normalized_result)
query = _pick_first_str(normalized_args, ("query",)) or "全部"
if total is not None:
return _truncate(f"查询到 {total} 条日程({query}")
if tool_name == "calendar_delete":
target = _pick_first_str(normalized_result, ("title", "eventId", "event_id"))
if target:
return _truncate(f"已删除日程:{target}")
if tool_name == "calendar_share":
target = _pick_first_str(normalized_result, ("target", "user", "userName"))
if target:
return _truncate(f"已分享日程给 {target}")
if tool_name == "user_resolve":
target = _pick_first_str(normalized_result, ("name", "userName", "userId"))
if target:
return _truncate(f"已匹配用户:{target}")
result_content = _pick_first_str(normalized_result, ("content", "message"))
if result_content:
return _truncate(result_content)
return _truncate(f"{tool_name} 执行完成")
def _extract_error_message(error: Any) -> str | None:
if isinstance(error, str) and error.strip():
return error.strip()
if isinstance(error, dict):
for key in ("message", "error", "detail"):
value = error.get(key)
if isinstance(value, str) and value.strip():
return value.strip()
return None
def _pick_first_str(payload: dict[str, Any], keys: tuple[str, ...]) -> str | None:
for key in keys:
value = payload.get(key)
if isinstance(value, str):
normalized = " ".join(value.split())
if normalized:
return normalized
return None
def _extract_total(result: dict[str, Any]) -> int | None:
candidates: list[Any] = [result.get("total")]
data = result.get("data")
if isinstance(data, dict):
candidates.append(data.get("total"))
events = data.get("events")
if isinstance(events, list):
candidates.append(len(events))
for value in candidates:
if isinstance(value, bool):
continue
if isinstance(value, int) and value >= 0:
return value
if isinstance(value, str) and value.isdigit():
return int(value)
return None
def _extract_business_failure_message(result: dict[str, Any]) -> str | None:
top_ok = result.get("ok")
if top_ok is False:
top_message = _pick_first_str(result, ("message", "error", "detail"))
if top_message:
return top_message
data = result.get("data")
if isinstance(data, dict) and data.get("ok") is False:
data_message = _pick_first_str(data, ("message", "error", "detail"))
if data_message:
return data_message
code = _pick_first_str(data, ("code",))
if code:
return code
return None
def _truncate(text: str, limit: int = 80) -> str:
normalized = " ".join(text.split())
if len(normalized) <= limit:
return normalized
return normalized[: limit - 3] + "..."