feat(agents): Phase 8.4-10.5 built-in plugins, bundled skills, coordinator

This commit is contained in:
2026-04-04 23:24:34 +08:00
parent 88955ed550
commit d18167826e
105 changed files with 14780 additions and 15685 deletions

View File

@@ -21,6 +21,7 @@ from app.models.conversation import Conversation, Message
from app.models.user import User
from app.agents.graph import get_agent_graph
from app.agents.context import set_current_user, clear_current_user
from app.agents.skills.registry import get_skill_registry
from app.services import memory_service
from app.services.brain_service import BrainService
from app.services.llm_service import create_llm_from_config, resolve_provider_capabilities
@@ -95,9 +96,8 @@ def _is_streaming_rejection_error(error: Exception, user_llm_config: dict | None
]
if isinstance(error, BadRequestError):
return (
getattr(capabilities, "provider", None) not in {"openai", "claude"}
and any(marker in error_text for marker in markers)
return getattr(capabilities, "provider", None) not in {"openai", "claude"} and any(
marker in error_text for marker in markers
)
return any(marker in error_text for marker in markers)
@@ -153,8 +153,23 @@ _CONTINUITY_SNAPSHOT_FIELDS = (
"verification_status",
"verification_summary",
"verification_evidence",
"isolation_mode",
"isolation_id",
"isolation_workspace_path",
"isolation_parent_conversation_id",
"isolation_metadata",
"input_tokens",
"output_tokens",
"estimated_cost",
"budget_warning",
"cost_by_agent",
"cost_thresholds",
"budget_state",
"collaboration_budget_history",
"current_phase",
"phase_history",
"current_checkpoint",
"checkpoint_history",
)
@@ -166,7 +181,11 @@ def _normalize_legacy_turn_context(turn_context: Any, current_agent: Any) -> dic
active_sub_flow = normalized.pop("active_sub_flow", None)
if isinstance(active_agent, str) and active_agent and "active_agent" not in normalized:
normalized["active_agent"] = active_agent
if isinstance(active_sub_flow, str) and active_sub_flow and "active_sub_commander" not in normalized:
if (
isinstance(active_sub_flow, str)
and active_sub_flow
and "active_sub_commander" not in normalized
):
normalized["active_sub_commander"] = active_sub_flow
if not normalized.get("active_agent") and isinstance(current_agent, str) and current_agent:
normalized["active_agent"] = current_agent
@@ -342,11 +361,32 @@ class AgentService:
"【当前时间】\n"
f"- current_time_utc: {reference['current_time_iso']}\n"
f"- current_date_utc: {reference['current_date_iso']}\n"
"说明:解析今天/明天/后天/本周/下周等相对时间时,请以 current_time_utc 为准。"
"说明:解析'今天/明天/后天/本周/下周'等相对时间时,请以 current_time_utc 为准。"
)
return context, reference
async def _get_user_llm_config(self, user_id: str, model_name: str | None = None) -> dict | None:
def build_skill_context(self, skill_names: list[str]) -> dict:
"""构建 Skills 上下文
Args:
skill_names: Skill 名称列表
Returns:
包含 skills 上下文的字典
"""
registry = get_skill_registry()
merged_context = registry.get_skill_context(skill_names)
return {
"skills_context": merged_context,
"skills_metadata": {
"skills": skill_names,
"count": len(skill_names),
},
}
async def _get_user_llm_config(
self, user_id: str, model_name: str | None = None
) -> dict | None:
"""获取用户的 LLM 模型配置"""
user = await self.db.get(User, user_id)
if not user or not user.llm_config:
@@ -396,13 +436,15 @@ class AgentService:
user_llm_config: dict | None,
) -> dict[str, Any]:
state = initial_state(user_id, conversation.id)
state.update({
"messages": [HumanMessage(content=full_message)],
"memory_context": memory_context,
"current_datetime_context": current_datetime_context,
"current_datetime_reference": current_datetime_reference,
"user_llm_config": user_llm_config,
})
state.update(
{
"messages": [HumanMessage(content=full_message)],
"memory_context": memory_context,
"current_datetime_context": current_datetime_context,
"current_datetime_reference": current_datetime_reference,
"user_llm_config": user_llm_config,
}
)
previous_snapshot = await self._load_continuity_snapshot(conversation)
if previous_snapshot:
state.update(previous_snapshot)
@@ -464,6 +506,7 @@ class AgentService:
file_context = ""
if file_ids:
from app.services.document_service import DocumentService
doc_svc = DocumentService(self.db)
for file_id in file_ids:
content = await doc_svc.get_document_content(user_id, file_id)
@@ -529,7 +572,9 @@ class AgentService:
set_current_user(user_id)
try:
graph = get_agent_graph()
current_datetime_context, current_datetime_reference = self._build_current_datetime_context()
current_datetime_context, current_datetime_reference = (
self._build_current_datetime_context()
)
state = await self._build_agent_state(
user_id=user_id,
@@ -542,7 +587,9 @@ class AgentService:
)
state.update(_derive_role_memory_contexts(memory_ctx))
yield self._build_progress_event("thinking", "Jarvis 正在分析请求", agent="master", step="理解你的问题")
yield self._build_progress_event(
"thinking", "Jarvis 正在分析请求", agent="master", step="理解你的问题"
)
try:
async for event in graph.astream_events(state, version="v2"):
@@ -551,7 +598,13 @@ class AgentService:
metadata = event.get("metadata", {})
data = event.get("data", {})
if kind == "on_chain_start" and event_name in {"master", "schedule_planner", "executor", "librarian", "analyst"}:
if kind == "on_chain_start" and event_name in {
"master",
"schedule_planner",
"executor",
"librarian",
"analyst",
}:
stage_map = {
"master": ("thinking", "Jarvis 正在理解请求"),
"schedule_planner": ("planning", "Jarvis 正在编排日程"),
@@ -559,9 +612,13 @@ class AgentService:
"librarian": ("tool", "Jarvis 正在检索知识"),
"analyst": ("thinking", "Jarvis 正在分析信息"),
}
stage, label = stage_map.get(event_name, ("thinking", "Jarvis 正在思考"))
yield self._build_progress_event(stage, label, agent=event_name, step=label)
stage, label = stage_map.get(
event_name, ("thinking", "Jarvis 正在思考")
)
yield self._build_progress_event(
stage, label, agent=event_name, step=label
)
elif kind == "on_tool_start":
yield self._build_progress_event(
"tool",
@@ -570,7 +627,7 @@ class AgentService:
tool_name=event_name,
step=f"正在执行 {event_name}",
)
elif kind == "on_tool_end":
tool_result = data.get("output")
step = f"已完成 {event_name}"
@@ -583,14 +640,16 @@ class AgentService:
tool_name=event_name,
step=step,
)
elif kind == "on_chat_model_stream":
chunk = data.get("chunk")
content = _coerce_event_text(getattr(chunk, "content", "") if chunk else "")
content = _coerce_event_text(
getattr(chunk, "content", "") if chunk else ""
)
if content:
collected += content
yield {"type": "chunk", "content": content}
elif kind == "on_chain_end":
output = data.get("output")
final_resp = None
@@ -605,7 +664,9 @@ class AgentService:
elif kind == "on_chat_model_end":
output = data.get("output")
final_content = _coerce_event_text(getattr(output, "content", "") if output else "")
final_content = _coerce_event_text(
getattr(output, "content", "") if output else ""
)
if final_content:
final_text = final_content
if final_text != collected:
@@ -614,12 +675,16 @@ class AgentService:
except Exception as e:
if _is_streaming_rejection_error(e, user_llm_config) and not collected:
yield self._build_progress_event("responding", "Jarvis 正在生成回复", agent="master", step="fallback")
yield self._build_progress_event(
"responding", "Jarvis 正在生成回复", agent="master", step="fallback"
)
try:
result_state = await graph.ainvoke(state)
if isinstance(result_state, dict):
state.update(result_state)
fallback_content = result_state.get("final_response") or str(result_state.get("messages", [AIMessage(content="")])[-1].content)
fallback_content = result_state.get("final_response") or str(
result_state.get("messages", [AIMessage(content="")])[-1].content
)
collected = str(fallback_content)
yield {"type": "chunk", "content": collected}
except Exception:
@@ -643,14 +708,24 @@ class AgentService:
if collected:
assistant_msg.content = collected
continuity_snapshot = _build_continuity_snapshot(state or {})
assistant_msg.attachments = ([{
"kind": "agent_continuity_state",
**continuity_snapshot,
}] if continuity_snapshot else None)
conv.agent_state = ({
"kind": "agent_continuity_state",
**continuity_snapshot,
} if continuity_snapshot else None)
assistant_msg.attachments = (
[
{
"kind": "agent_continuity_state",
**continuity_snapshot,
}
]
if continuity_snapshot
else None
)
conv.agent_state = (
{
"kind": "agent_continuity_state",
**continuity_snapshot,
}
if continuity_snapshot
else None
)
await BrainService(self.db).create_event(
user_id,
**_build_assistant_event_payload(collected),
@@ -728,12 +803,16 @@ class AgentService:
importance_signal=1.0,
)
memory_ctx = await memory_service.build_memory_context(self.db, user_id, conversation_id, message)
memory_ctx = await memory_service.build_memory_context(
self.db, user_id, conversation_id, message
)
set_current_user(user_id)
try:
graph = get_agent_graph()
current_datetime_context, current_datetime_reference = self._build_current_datetime_context()
current_datetime_context, current_datetime_reference = (
self._build_current_datetime_context()
)
state = await self._build_agent_state(
user_id=user_id,
conversation=conv,
@@ -745,7 +824,9 @@ class AgentService:
)
state.update(_derive_role_memory_contexts(memory_ctx))
result_state = await graph.ainvoke(state)
response_content = result_state.get("final_response") or str(result_state.get("messages", [AIMessage(content="")])[-1].content)
response_content = result_state.get("final_response") or str(
result_state.get("messages", [AIMessage(content="")])[-1].content
)
except Exception as e:
logger.exception("agent_chat_simple_failed")
response_content = "抱歉,发生错误。"
@@ -766,15 +847,27 @@ class AgentService:
)
assistant_msg.content = response_content
continuity_snapshot = _build_continuity_snapshot(result_state) if 'result_state' in locals() else None
assistant_msg.attachments = ([{
"kind": "agent_continuity_state",
**continuity_snapshot,
}] if continuity_snapshot else None)
conv.agent_state = ({
"kind": "agent_continuity_state",
**continuity_snapshot,
} if continuity_snapshot else None)
continuity_snapshot = (
_build_continuity_snapshot(result_state) if "result_state" in locals() else None
)
assistant_msg.attachments = (
[
{
"kind": "agent_continuity_state",
**continuity_snapshot,
}
]
if continuity_snapshot
else None
)
conv.agent_state = (
{
"kind": "agent_continuity_state",
**continuity_snapshot,
}
if continuity_snapshot
else None
)
await self.db.commit()
await self.db.refresh(assistant_msg)