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```

Browse Source 
feat(engine): 添加技能查看工具并优化异步任务管理

- 添加SkillViewTool到引擎加载器中，增强技能管理功能
- 在AgentLoop中引入_active_direct_task来跟踪活跃任务
- 实现直接任务执行时的同步处理逻辑
- 更新工具实例化方式以支持依赖注入

feat(config): 增加智能体运行时参数配置支持

- 扩展AgentDefaultsConfig添加max_tokens和temperature字段
- 实现配置解析函数_first_config_value处理多个配置源
- 支持通过Web API动态更新智能体运行时参数
- 添加前端页面配置表单和验证逻辑

refactor(provider): 统一最大令牌数参数类型为可选整型

- 将所有LLM提供者的max_tokens参数改为int | None类型
- 为AnthropicProvider实现模型特定的最大令牌数默认值
- 调整参数传递逻辑，优先级：调用参数 > 配置文件 > 模型默认值
- 移除硬编码的默认值，改用条件判断

feat(process): 增强事件投影功能

- 添加工具调用开始/结束事件的映射逻辑
- 实现技能激活事件的识别和展示
- 添加辅助函数处理工具调用名称和参数提取
- 优化运行记录关联逻辑，提升事件匹配准确性

fix(web): 更新网络请求客户端信任环境设置

- 将WebFetchTool和WebSearchTool的trust_env参数设为True
- 确保HTTP客户端能够正确使用系统代理配置
- 修复可能的网络连接问题

test: 添加配置加载和事件投影相关测试

- 新增智能体默认参数配置测试用例
- 实现API配置持久化和重载测试
- 添加技能卡片和工具事件的投影测试
```
This commit is contained in:
steven_li
2026-05-27 13:37:06 +08:00
parent 55b39563a0
commit 33a9845566
75 changed files with 2599 additions and 114 deletions
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125
app-instance/backend/tests/unit/test_process_projection.py
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@ -5,6 +5,7 @@ from pathlib import Path
from beaver.engine.session import SessionManager
from beaver.memory.runs import RunMemoryStore, RunRecord
from beaver.services.process_service import SessionProcessProjector
from beaver.skills.specs import SkillActivationReceipt
def test_process_projection_maps_task_team_events(tmp_path: Path) -> None:
@ -238,6 +239,130 @@ def test_process_projection_uses_normalized_plan_metadata_defaults(tmp_path: Pat
assert planned_event["metadata"]["strategy"] == "single"
def test_process_projection_emits_skill_card_from_main_run_receipts(tmp_path: Path) -> None:
session = SessionManager(tmp_path)
run_store = RunMemoryStore(tmp_path / "memory" / "runs")
run_store.append_run_record(
RunRecord(
run_id="main-run",
session_id="web:test",
task_id="task-1",
attempt_index=1,
task_text="main task",
started_at="2026-01-01T00:00:03+00:00",
ended_at="2026-01-01T00:00:04+00:00",
success=True,
finish_reason="stop",
activated_skills=[
SkillActivationReceipt(
run_id="main-run",
session_id="web:test",
skill_name="web-operation",
skill_version="1",
content_hash="hash",
activated_at="2026-01-01T00:00:03+00:00",
activation_reason="Needs live web lookup.",
)
],
)
)
session.append_message(
"web:test",
role="system",
event_type="task_execution_planned",
event_payload={
"task_id": "task-1",
"attempt_index": 1,
"plan_mode": "single",
"strategy": "single",
"selected_skill_names": [],
},
context_visible=False,
)
session.append_message(
"web:test",
role="system",
event_type="task_synthesis_completed",
event_payload={"task_id": "task-1", "attempt_index": 1, "main_run_id": "main-run"},
context_visible=False,
)
projection = SessionProcessProjector(session, run_store).project("web:test")
skill_events = [
event
for event in projection["events"]
if event["kind"] == "skill_selected" and event["run_id"] == "main-run"
]
assert skill_events
assert skill_events[0]["metadata"]["timeline_type"] == "skill"
assert skill_events[0]["metadata"]["skill_names"] == ["web-operation"]
def test_process_projection_emits_tool_cards_from_run_messages(tmp_path: Path) -> None:
session = SessionManager(tmp_path)
run_store = RunMemoryStore(tmp_path / "memory" / "runs")
run_store.append_run_record(
RunRecord(
run_id="main-run",
session_id="web:test",
task_id="task-1",
attempt_index=1,
task_text="main task",
started_at="2026-01-01T00:00:03+00:00",
ended_at="2026-01-01T00:00:04+00:00",
success=True,
finish_reason="stop",
)
)
session.append_message(
"web:test",
role="system",
event_type="task_execution_planned",
event_payload={"task_id": "task-1", "attempt_index": 1},
context_visible=False,
)
session.append_message(
"web:test",
run_id="main-run",
role="assistant",
event_type="assistant_message_added",
event_payload={"task_id": "task-1"},
content="Searching",
tool_calls=[
{
"id": "call-1",
"name": "multi_search",
"arguments": {"query": "Macau cafe near Bóvia"},
}
],
context_visible=False,
)
session.append_message(
"web:test",
run_id="main-run",
role="tool",
event_type="tool_result_recorded",
event_payload={"success": True, "error": None},
content="Found 3 restaurants",
tool_name="multi_search",
tool_call_id="call-1",
context_visible=True,
)
projection = SessionProcessProjector(session, run_store).project("web:test")
tool_call = next(event for event in projection["events"] if event["kind"] == "tool_call_started")
assert tool_call["metadata"]["timeline_type"] == "tool_call"
assert tool_call["metadata"]["tool_name"] == "multi_search"
assert tool_call["run_id"] == "main-run"
tool_result = next(event for event in projection["events"] if event["kind"] == "tool_call_finished")
assert tool_result["metadata"]["timeline_type"] == "tool_result"
assert tool_result["metadata"]["tool_name"] == "multi_search"
assert tool_result["metadata"]["success"] is True
def test_process_projection_exposes_ephemeral_guidance_artifacts(tmp_path: Path) -> None:
session = SessionManager(tmp_path)
run_store = RunMemoryStore(tmp_path / "memory" / "runs")