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feat: expose agent collaboration metadata

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cls_宁波本机
2026-06-14 15:35:24 +08:00
parent 3f75c966c2
commit 7b7c82309c
6 changed files with 546 additions and 107 deletions
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backend-fastapi/ai_platform/services/agent_service.py
+26 -3
View File
@@ -26,6 +26,26 @@ class AgentService:
def __init__(self, db: Optional[AsyncSession] = None):
self._db = db
self.llm_service = LLMService(db)
def _agent_collaboration_metadata(self, agent: Agent) -> Dict[str, Any]:
metadata = {
"agent_id": str(agent.id),
"agent_code": agent.code,
"agent_name": agent.name,
"collaboration_role": agent.name or agent.code,
"collaboration_mode": agent.mode,
}
if agent.model_id:
metadata["model_id"] = str(agent.model_id)
return {key: value for key, value in metadata.items() if value}
def _attach_agent_collaboration(self, event: Dict[str, Any], agent: Agent) -> Dict[str, Any]:
enriched = dict(event)
collaboration = dict(enriched.get("collaboration") or {})
for key, value in self._agent_collaboration_metadata(agent).items():
collaboration.setdefault(key, value)
enriched["collaboration"] = collaboration
return enriched
async def chat(
self,
@@ -52,12 +72,15 @@ class AgentService:
"""
if agent.mode == 'autonomous':
async for event in self._chat_autonomous(agent, conversation, user_message, attachments):
yield event
yield self._attach_agent_collaboration(event, agent)
elif agent.mode == 'dialog_flow':
async for event in self._chat_dialog_flow(agent, conversation, user_message, application_id, form_code, attachments):
yield event
yield self._attach_agent_collaboration(event, agent)
else:
yield {'type': 'error', 'content': f'不支持的模式: {agent.mode}'}
yield self._attach_agent_collaboration(
{'type': 'error', 'content': f'不支持的模式: {agent.mode}'},
agent,
)
async def _chat_autonomous(
self,
backend-fastapi/ai_platform/services/workflow_service.py
+221 -98
View File
@@ -50,16 +50,63 @@ def _node_label_from_map(node_map: Dict[str, Any], node_id: str) -> str:
return data.get('label') or node.get('label') or node_id
def _node_collaboration_metadata(node_map: Dict[str, Any], node_id: str, node_type: str) -> dict:
node = node_map.get(node_id) or {}
data = node.get('data') or {}
metadata: Dict[str, Any] = {}
agent_code = (data.get('agent_code') or '').strip()
if agent_code:
metadata['agent_code'] = agent_code
if data.get('agent_name'):
metadata['agent_name'] = data.get('agent_name')
model_id = data.get('model_id')
if model_id:
metadata['model_id'] = str(model_id)
if data.get('subflow_name'):
metadata['subflow_name'] = data.get('subflow_name')
if data.get('show_subflow_messages') is not None:
metadata['show_subflow_messages'] = data.get('show_subflow_messages')
if data.get('forward_interactive') is not None:
metadata['forward_interactive'] = data.get('forward_interactive')
branches = data.get('branches') or []
if node_type == 'parallel' and branches:
metadata['branches'] = [
{
'id': branch.get('id'),
'name': branch.get('name') or branch.get('id'),
}
for branch in branches
if branch.get('id')
]
if node_type in ('template', 'llm') and agent_code:
metadata['collaboration_role'] = data.get('label') or node_id
if node_type == 'subflow':
metadata['collaboration_role'] = data.get('label') or node_id
return metadata
def _make_execution_log_entry(
node_map: Dict[str, Any],
node_id: str,
node_type: str,
**extra: Any,
) -> dict:
metadata = dict(extra.pop('metadata', {}) or {})
collaboration = _node_collaboration_metadata(node_map, node_id, node_type)
if collaboration:
metadata['collaboration'] = collaboration
return {
'node_id': node_id,
'node_type': node_type,
'node_label': _node_label_from_map(node_map, node_id),
'metadata': metadata,
**extra,
}
@@ -68,6 +115,55 @@ def _node_result_metadata(result: NodeResult) -> dict:
return dict(result.metadata or {})
def _event_collaboration_metadata(
node_map: Dict[str, Any],
node_id: str,
node_type: str,
result: Optional[NodeResult] = None,
) -> dict:
metadata = _node_collaboration_metadata(node_map, node_id, node_type)
if not result:
return metadata
result_metadata = result.metadata or {}
for key in (
'agent_code',
'agent_name',
'model',
'model_id',
'output_variable',
'subflow_name',
):
value = result_metadata.get(key)
if value is not None and value != '':
metadata[key] = value
return metadata
def _parallel_branch_labels(node_map: Dict[str, Any], parallel_node_id: str) -> Dict[str, str]:
node = node_map.get(parallel_node_id) or {}
branches = (node.get('data') or {}).get('branches') or []
labels: Dict[str, str] = {}
for branch in branches:
branch_id = branch.get('id')
if branch_id:
labels[branch_id] = branch.get('name') or branch_id
return labels
def _merge_event_collaboration(
event: Dict[str, Any],
node_map: Dict[str, Any],
node_id: str,
node_type: str,
result: Optional[NodeResult] = None,
) -> Dict[str, Any]:
collaboration = _event_collaboration_metadata(node_map, node_id, node_type, result)
if collaboration:
event['collaboration'] = collaboration
return event
def _snapshot_node_inputs(context: NodeContext) -> dict:
return {
'variables': dict(context.variables),
@@ -691,6 +787,7 @@ class AIWorkflowService:
all_logs = []
total_tokens = 0
total_steps = 0
branch_labels = _parallel_branch_labels(node_map, parallel_node_id)
async def execute_branch(branch_id: str, branch_start_id: str, branch_context: NodeContext) -> Dict:
"""执行单个分支（异步）"""
@@ -723,17 +820,19 @@ class AIWorkflowService:
result = await node_instance.execute_async(branch_context)
elapsed = int((time.time() - start_time) * 1000)
branch_logs.append({
'node_id': current_id,
'node_type': node_type,
'status': 'completed' if result.success else 'failed',
'output': result.output,
'error': result.error,
'elapsed_time': elapsed,
'tokens_used': result.tokens_used,
'metadata': _node_result_metadata(result),
'branch': branch_start_id,
})
branch_logs.append(_make_execution_log_entry(
node_map,
current_id,
node_type,
status='completed' if result.success else 'failed',
output=result.output,
error=result.error,
elapsed_time=elapsed,
tokens_used=result.tokens_used,
metadata=_node_result_metadata(result),
branch=branch_id,
branch_label=branch_labels.get(branch_id, branch_id),
))
branch_tokens += result.tokens_used
branch_steps += 1
@@ -881,6 +980,7 @@ class AIWorkflowService:
all_logs = []
total_tokens = 0
total_steps = 0
branch_labels = _parallel_branch_labels(node_map, parallel_node_id)
target_to_branch = {v: k for k, v in branch_mapping.items()}
@@ -921,45 +1021,49 @@ class AIWorkflowService:
continue
# 发送节点开始事件
yield {
yield _merge_event_collaboration({
'type': 'node_start',
'node_id': current_id,
'node_type': node_type,
'node_label': node_label,
'branch_id': branch_id,
'branch_label': branch_labels.get(branch_id, branch_id),
'timestamp': datetime.now().isoformat(),
'inputs': {
'variables': dict(branch_context.variables),
'previous_output': branch_context.previous_output,
},
}
}, node_map, current_id, node_type)
# 执行节点（异步）
start_time = time.time()
result = await node_instance.execute_async(branch_context)
elapsed = int((time.time() - start_time) * 1000)
branch_logs.append({
'node_id': current_id,
'node_type': node_type,
'status': 'completed' if result.success else 'failed',
'output': result.output,
'error': result.error,
'elapsed_time': elapsed,
'tokens_used': result.tokens_used,
'metadata': _node_result_metadata(result),
'branch': branch_id,
})
branch_logs.append(_make_execution_log_entry(
node_map,
current_id,
node_type,
status='completed' if result.success else 'failed',
output=result.output,
error=result.error,
elapsed_time=elapsed,
tokens_used=result.tokens_used,
metadata=_node_result_metadata(result),
branch=branch_id,
branch_label=branch_labels.get(branch_id, branch_id),
))
branch_tokens += result.tokens_used
branch_steps += 1
# 发送节点完成事件
yield _apply_node_result_warnings({
yield _merge_event_collaboration(_apply_node_result_warnings({
'type': 'node_complete',
'node_id': current_id,
'node_type': node_type,
'branch_id': branch_id,
'branch_label': branch_labels.get(branch_id, branch_id),
'status': 'success' if result.success else 'failed',
'elapsed_time': elapsed,
'tokens_used': result.tokens_used,
@@ -968,7 +1072,7 @@ class AIWorkflowService:
'output': result.output,
'output_variables': result.metadata.get('frontend_output_variables', result.output_variables),
},
}, result)
}, result), node_map, current_id, node_type, result)
if not result.success:
break
@@ -1205,7 +1309,7 @@ class AIWorkflowService:
continue
# 发送节点开始事件
yield {
yield _merge_event_collaboration({
'type': 'node_start',
'node_id': current_id,
'node_type': node_type,
@@ -1219,7 +1323,7 @@ class AIWorkflowService:
'_loop_total': context.get_variable('_loop_total'),
}
},
}
}, node_map, current_id, node_type)
# 执行节点（异步）
start_time = time.time()
@@ -1228,23 +1332,24 @@ class AIWorkflowService:
elapsed = int((time.time() - start_time) * 1000)
logger.info(f'[Loop] Child node result: success={result.success}, output={result.output}, error={result.error}')
iteration_logs.append({
'node_id': current_id,
'node_type': node_type,
'status': 'completed' if result.success else 'failed',
'output': result.output,
'error': result.error,
'elapsed_time': elapsed,
'tokens_used': result.tokens_used,
'metadata': _node_result_metadata(result),
'loop_iteration': iteration,
})
iteration_logs.append(_make_execution_log_entry(
node_map,
current_id,
node_type,
status='completed' if result.success else 'failed',
output=result.output,
error=result.error,
elapsed_time=elapsed,
tokens_used=result.tokens_used,
metadata=_node_result_metadata(result),
loop_iteration=iteration,
))
iteration_tokens += result.tokens_used
iteration_steps += 1
# 发送节点执行完成事件
yield _apply_node_result_warnings({
yield _merge_event_collaboration(_apply_node_result_warnings({
'type': 'node_complete',
'node_id': current_id,
'node_type': node_type,
@@ -1265,7 +1370,7 @@ class AIWorkflowService:
'_loop_total': context.get_variable('_loop_total'),
}
},
}, result)
}, result), node_map, current_id, node_type, result)
# 发送节点产生的事件（如消息事件）
if result.events:
@@ -1280,13 +1385,14 @@ class AIWorkflowService:
# 检查是否需要等待用户输入（设计预览节点等）
if result.waiting_for_input:
# 记录日志
iteration_logs.append({
'node_id': current_id,
'node_type': node_type,
'status': 'waiting',
'elapsed_time': elapsed,
'loop_iteration': iteration,
})
iteration_logs.append(_make_execution_log_entry(
node_map,
current_id,
node_type,
status='waiting',
elapsed_time=elapsed,
loop_iteration=iteration,
))
# 更新运行记录为等待状态
run.status = 'waiting'
@@ -1304,13 +1410,13 @@ class AIWorkflowService:
await self._db.commit()
# 发送等待事件
yield {
yield _merge_event_collaboration({
'type': 'waiting_input',
'node_id': current_id,
'node_type': node_type,
'config': result.waiting_config,
'loop_iteration': iteration,
}
}, node_map, current_id, node_type, result)
# 暂停循环执行，等待用户输入
return
@@ -1574,14 +1680,14 @@ class AIWorkflowService:
}
# 发送节点开始事件（包含时间戳和输入数据）
yield {
yield _merge_event_collaboration({
'type': 'node_start',
'node_id': current_node_id,
'node_type': node_type,
'node_label': node_label,
'timestamp': datetime.now().isoformat(),
'inputs': node_inputs,
}
}, node_map, current_node_id, node_type)
# 结束节点
if node_type == 'end':
@@ -1597,14 +1703,14 @@ class AIWorkflowService:
metadata=_node_result_metadata(result),
inputs=copy.deepcopy(node_inputs),
))
yield {
yield _merge_event_collaboration({
'type': 'node_complete',
'node_id': current_node_id,
'node_type': node_type,
'status': 'success',
'elapsed_time': 0,
'tokens_used': 0,
}
}, node_map, current_node_id, node_type, result)
# 保存结束节点输出和上下文变量到运行记录
run.execution_log = logs.copy()
@@ -1659,12 +1765,12 @@ class AIWorkflowService:
)
# 发送 LLM 流式内容事件
if chunk_event.content:
yield {
yield _merge_event_collaboration({
'type': 'llm_chunk',
'node_id': current_node_id,
'content': chunk_event.content,
'accumulated_content': chunk_event.accumulated_content,
}
}, node_map, current_node_id, node_type)
except StopIteration as e:
# 生成器结束，获取返回值（NodeResult）
result = e.value
@@ -1682,18 +1788,22 @@ class AIWorkflowService:
for event in result.events:
if event.get('type') == 'message':
# 消息事件直接发送为 answer 类型
yield {
answer_event = _merge_event_collaboration({
'type': 'answer',
'node_id': current_node_id,
'content': event.get('content', ''),
}
}, node_map, current_node_id, node_type, result)
if event.get('from_subflow'):
answer_event['from_subflow'] = True
answer_event['subflow_name'] = event.get('subflow_name')
yield answer_event
else:
# 其他事件保持 node_event 格式
yield {
yield _merge_event_collaboration({
'type': 'node_event',
'node_id': current_node_id,
'event': event,
}
}, node_map, current_node_id, node_type, result)
# 检查是否需要等待用户输入（对话流节点）
if result.waiting_for_input:
@@ -1723,12 +1833,12 @@ class AIWorkflowService:
# 注意：save由调用方处理
# 发送等待输入事件
yield {
yield _merge_event_collaboration({
'type': 'waiting_input',
'node_id': current_node_id,
'node_type': node_type,
'config': result.waiting_config,
}
}, node_map, current_node_id, node_type, result)
# 暂停工作流执行，等待用户输入后续流
return
@@ -1760,7 +1870,7 @@ class AIWorkflowService:
# 注意：save由调用方处理
# 发送节点完成事件（包含输出数据）
yield _apply_node_result_warnings({
yield _merge_event_collaboration(_apply_node_result_warnings({
'type': 'node_complete',
'node_id': current_node_id,
'node_type': node_type,
@@ -1772,7 +1882,7 @@ class AIWorkflowService:
'output': result.output,
'output_variables': result.metadata.get('frontend_output_variables', result.output_variables),
},
}, result)
}, result), node_map, current_node_id, node_type, result)
if not result.success:
raise ValueError(f'节点执行失败: {result.error}')
@@ -1791,11 +1901,15 @@ class AIWorkflowService:
if node_type == 'parallel':
# 并行节点：执行所有分支（流式）
branch_ids = list(parallel_edge_map.get(current_node_id, {}).keys()) or edge_map.get(current_node_id, [])
yield {
branch_labels = _parallel_branch_labels(node_map, current_node_id)
yield _merge_event_collaboration({
'type': 'parallel_start',
'node_id': current_node_id,
'branches': branch_ids,
}
'branch_count': len(branch_ids),
'branch_labels': branch_labels,
'collaboration_mode': 'parallel',
}, node_map, current_node_id, node_type)
# 使用流式版本的并行分支执行（异步）
async for event in self._execute_parallel_branches_stream(
@@ -1809,12 +1923,15 @@ class AIWorkflowService:
total_steps += parallel_results['total_steps']
logs.extend(parallel_results['logs'])
yield {
yield _merge_event_collaboration({
'type': 'parallel_complete',
'node_id': current_node_id,
'branch_results': parallel_results['results'],
'total_tokens': parallel_results['total_tokens'],
}
'branch_count': len(parallel_results['results']),
'branch_labels': branch_labels,
'collaboration_mode': 'parallel',
}, node_map, current_node_id, node_type)
# 找到合并节点继续执行
current_node_id = parallel_results.get('merge_node_id')
@@ -2126,14 +2243,14 @@ class AIWorkflowService:
}
# 发送节点开始事件
node_start_event = {
node_start_event = _merge_event_collaboration({
'type': 'node_start',
'node_id': current_node_id,
'node_type': node_type,
'node_label': node_label,
'timestamp': datetime.now().isoformat(),
'inputs': node_inputs,
}
}, node_map, current_node_id, node_type)
# 如果在循环中，添加迭代信息
if loop_state:
node_start_event['loop_iteration'] = loop_state.get('iteration', 0)
@@ -2152,14 +2269,14 @@ class AIWorkflowService:
output=result.output,
inputs=copy.deepcopy(node_inputs),
))
yield {
yield _merge_event_collaboration({
'type': 'node_complete',
'node_id': current_node_id,
'node_type': node_type,
'status': 'success',
'elapsed_time': 0,
'outputs': {'output': result.output},
}
}, node_map, current_node_id, node_type, result)
# 更新运行记录，保存结束节点的输出
run.status = 'completed'
@@ -2191,29 +2308,34 @@ class AIWorkflowService:
for event in result.events:
if event.get('type') == 'message':
# 消息事件直接发送为 answer 类型
yield {
answer_event = _merge_event_collaboration({
'type': 'answer',
'node_id': current_node_id,
'content': event.get('content', ''),
}
}, node_map, current_node_id, node_type, result)
if event.get('from_subflow'):
answer_event['from_subflow'] = True
answer_event['subflow_name'] = event.get('subflow_name')
yield answer_event
else:
# 其他事件保持 node_event 格式
yield {
yield _merge_event_collaboration({
'type': 'node_event',
'node_id': current_node_id,
'event': event,
}
}, node_map, current_node_id, node_type, result)
# 检查是否需要等待用户输入
if result.waiting_for_input:
log_entry = {
'node_id': current_node_id,
'node_type': node_type,
'status': 'waiting',
'output': result.output,
'elapsed_time': elapsed,
'metadata': _node_result_metadata(result),
}
log_entry = _make_execution_log_entry(
node_map,
current_node_id,
node_type,
status='waiting',
output=result.output,
elapsed_time=elapsed,
metadata=_node_result_metadata(result),
)
logs.append(log_entry)
run.status = 'waiting'
@@ -2226,12 +2348,12 @@ class AIWorkflowService:
run.waiting_config['_loop_state'] = loop_state
# 注意：save由调用方处理
waiting_event = {
waiting_event = _merge_event_collaboration({
'type': 'waiting_input',
'node_id': current_node_id,
'node_type': node_type,
'config': result.waiting_config,
}
}, node_map, current_node_id, node_type, result)
# 如果在循环中，添加迭代信息
if loop_state:
waiting_event['loop_iteration'] = loop_state.get('iteration', 0)
@@ -2239,16 +2361,17 @@ class AIWorkflowService:
return
# 记录日志
log_entry = {
'node_id': current_node_id,
'node_type': node_type,
'status': 'completed' if result.success else 'failed',
'output': result.output,
'error': result.error,
'elapsed_time': elapsed,
'tokens_used': result.tokens_used,
'metadata': _node_result_metadata(result),
}
log_entry = _make_execution_log_entry(
node_map,
current_node_id,
node_type,
status='completed' if result.success else 'failed',
output=result.output,
error=result.error,
elapsed_time=elapsed,
tokens_used=result.tokens_used,
metadata=_node_result_metadata(result),
)
logs.append(log_entry)
total_tokens += result.tokens_used
@@ -2266,7 +2389,7 @@ class AIWorkflowService:
# 注意：save由调用方处理
# 发送节点完成事件
node_complete_event = _apply_node_result_warnings({
node_complete_event = _merge_event_collaboration(_apply_node_result_warnings({
'type': 'node_complete',
'node_id': current_node_id,
'node_type': node_type,
@@ -2278,7 +2401,7 @@ class AIWorkflowService:
'output': result.output,
'output_variables': result.metadata.get('frontend_output_variables', result.output_variables),
},
}, result)
}, result), node_map, current_node_id, node_type, result)
# 如果在循环中，添加迭代信息
if loop_state:
node_complete_event['loop_iteration'] = loop_state.get('iteration', 0)
web/apps/web-ele/src/components/ChatBox/MessageBubble.vue
+97 -2
View File
@@ -192,6 +192,39 @@ const getStepColor = (step: ReasoningStep) => {
return colors[step.type] || 'text-gray-500';
};
const getStepMetaItems = (step: ReasoningStep) => {
const items: string[] = [];
if (step.agent_name || step.agent_code) {
items.push(`智能体: ${step.agent_name || step.agent_code}`);
}
if (step.branch_label || step.branch_id) {
items.push(`分支: ${step.branch_label || step.branch_id}`);
}
if (step.subflow_name) {
items.push(`子流程: ${step.subflow_name}`);
}
if (step.model || step.model_id) {
items.push(`模型: ${step.model || step.model_id}`);
}
return items;
};
const messageMetaItems = computed(() => {
if (isUser.value) return [];
const items: string[] = [];
if (props.message.agent_name || props.message.agent_code) {
items.push(`智能体: ${props.message.agent_name || props.message.agent_code}`);
}
if (props.message.model_name || props.message.model_id) {
items.push(`模型: ${props.message.model_name || props.message.model_id}`);
}
if (props.message.collaboration_mode) {
items.push(`模式: ${props.message.collaboration_mode}`);
}
return items;
});
// 格式化文件大小
const formatFileSize = (bytes?: number) => {
if (!bytes) return '';
@@ -293,6 +326,16 @@ const formatVoiceDuration = (seconds: number) => {
</div>
<!-- 消息气泡 -->
<div v-if="messageMetaItems.length" class="chat-message-meta">
<span
v-for="item in messageMetaItems"
:key="item"
class="chat-message-meta-item"
>
{{ item }}
</span>
</div>
<div class="chat-bubble" :class="{ 'is-error': isFailed }">
<!-- 执行步骤（执行中展开显示，完成后折叠） -->
<div v-if="message.reasoning_steps?.length" class="bubble-steps">
@@ -320,6 +363,15 @@ const formatVoiceDuration = (seconds: number) => {
<span class="step-text" :title="step.content">
{{ step.content }}
</span>
<div v-if="getStepMetaItems(step).length" class="step-meta">
<span
v-for="item in getStepMetaItems(step)"
:key="item"
class="step-meta-item"
>
{{ item }}
</span>
</div>
</div>
</div>
</div>
@@ -608,6 +660,27 @@ const formatVoiceDuration = (seconds: number) => {
}
/* 推理步骤 */
.chat-message-meta {
display: flex;
min-width: 0;
flex-wrap: wrap;
gap: 4px;
}
.chat-message-meta-item {
max-width: 100%;
overflow: hidden;
border: 1px solid var(--el-border-color-lighter);
border-radius: 4px;
padding: 1px 5px;
background: var(--el-fill-color-blank);
color: var(--el-text-color-secondary);
font-size: 12px;
line-height: 18px;
text-overflow: ellipsis;
white-space: nowrap;
}
.chat-reasoning {
width: 100%;
margin-bottom: 8px;
@@ -1257,9 +1330,11 @@ const formatVoiceDuration = (seconds: number) => {
}
.bubble-step {
display: flex;
display: grid;
grid-template-columns: auto minmax(0, 1fr);
align-items: center;
gap: 8px;
column-gap: 8px;
row-gap: 4px;
padding: 3px 0;
font-size: 12px;
color: var(--el-text-color-secondary);
@@ -1285,4 +1360,24 @@ const formatVoiceDuration = (seconds: number) => {
text-overflow: ellipsis;
white-space: nowrap;
}
.step-meta {
grid-column: 2;
display: flex;
min-width: 0;
flex-wrap: wrap;
gap: 4px;
}
.step-meta-item {
max-width: 100%;
overflow: hidden;
border: 1px solid var(--el-border-color-lighter);
border-radius: 4px;
padding: 1px 5px;
background: var(--el-fill-color-blank);
color: var(--el-text-color-secondary);
text-overflow: ellipsis;
white-space: nowrap;
}
</style>
web/apps/web-ele/src/components/ChatBox/types.ts
+14
View File
@@ -62,6 +62,16 @@ export interface ReasoningStep {
result?: any;
node_id?: string;
node_type?: string;
branch_id?: string;
branch_label?: string;
agent_code?: string;
agent_name?: string;
model?: string;
model_id?: string;
subflow_name?: string;
from_subflow?: boolean;
collaboration_role?: string;
collaboration_mode?: string;
output?: any;
/** 步骤状态：running 执行中，completed 已完成 */
status?: 'completed' | 'running';
@@ -137,6 +147,10 @@ export interface ChatMessage {
error_message?: string;
feedback?: 'dislike' | 'like' | null;
model_name?: string;
agent_code?: string;
agent_name?: string;
collaboration_mode?: string;
model_id?: string;
/** 语音消息 */
voice?: VoiceMessage;
/** 对话流交互配置（等待用户输入时） */
web/apps/web-ele/src/components/ai-chat-panel/composables/useEventHandler.ts
+65 -1
View File
@@ -170,6 +170,48 @@ export function useEventHandler(config: EventHandlerConfig) {
return 0;
};
const buildReasoningMeta = (event: StreamEvent): Partial<ReasoningStep> => {
const collaboration = event.collaboration || {};
return {
branch_id: event.branch_id,
branch_label: event.branch_label,
agent_code: collaboration.agent_code || event.agent_code,
agent_name: collaboration.agent_name || event.agent_name,
model: collaboration.model || event.model,
model_id: collaboration.model_id || event.model_id,
subflow_name:
event.subflow_name || collaboration.subflow_name || event.event?.subflow_name,
from_subflow: Boolean(
event.from_subflow || collaboration.from_subflow || event.event?.from_subflow,
),
collaboration_role:
collaboration.collaboration_role || collaboration.role || event.collaboration_role,
collaboration_mode: event.collaboration_mode || collaboration.collaboration_mode,
};
};
const buildMessageMeta = (event: StreamEvent): Partial<ChatMessage> => {
const collaboration = event.collaboration || {};
const modelName =
event.model ||
event.model_name ||
collaboration.model ||
collaboration.model_id;
return {
...(modelName ? { model_name: modelName } : {}),
...(collaboration.model_id ? { model_id: collaboration.model_id } : {}),
...(collaboration.agent_code
? { agent_code: collaboration.agent_code }
: {}),
...(collaboration.agent_name
? { agent_name: collaboration.agent_name }
: {}),
...(collaboration.collaboration_mode
? { collaboration_mode: collaboration.collaboration_mode }
: {}),
};
};
/** 处理流式事件 */
const handleStreamEvent = (event: StreamEvent, msgId: string) => {
switch (event.type) {
@@ -194,6 +236,7 @@ export function useEventHandler(config: EventHandlerConfig) {
updateAssistantMessage(msgId, {
status: 'completed',
content: event.content || '',
...buildMessageMeta(event),
});
} else {
const answerMsg: ChatMessage = {
@@ -202,6 +245,7 @@ export function useEventHandler(config: EventHandlerConfig) {
content: event.content || '',
timestamp: new Date(),
status: 'completed',
...buildMessageMeta(event),
};
messages.value.push(answerMsg);
}
@@ -228,6 +272,7 @@ export function useEventHandler(config: EventHandlerConfig) {
content: endOutput,
elapsed_time: event.elapsed_time,
tokens_used: event.tokens_used || event.total_tokens,
...buildMessageMeta(event),
});
} else {
const endMsg: ChatMessage = {
@@ -238,6 +283,7 @@ export function useEventHandler(config: EventHandlerConfig) {
status: 'completed',
elapsed_time: event.elapsed_time,
tokens_used: event.tokens_used || event.total_tokens,
...buildMessageMeta(event),
};
messages.value.push(endMsg);
}
@@ -259,6 +305,7 @@ export function useEventHandler(config: EventHandlerConfig) {
elapsed_time: event.elapsed_time,
tokens_used: event.tokens_used || event.total_tokens,
content: '工作流执行完成',
...buildMessageMeta(event),
});
}
} else if (initialMsg) {
@@ -267,6 +314,7 @@ export function useEventHandler(config: EventHandlerConfig) {
status: 'completed',
elapsed_time: event.elapsed_time,
tokens_used: event.tokens_used || event.total_tokens,
...buildMessageMeta(event),
});
}
@@ -283,6 +331,7 @@ export function useEventHandler(config: EventHandlerConfig) {
content: event.message || event.content || '执行失败',
node_id: event.node_id,
node_type: event.node_type,
...buildReasoningMeta(event),
status: 'completed',
timestamp: new Date().toISOString(),
});
@@ -302,6 +351,7 @@ export function useEventHandler(config: EventHandlerConfig) {
updateAssistantMessage(msgId, {
content: event.accumulated_content || event.content || '',
status: 'streaming',
...buildMessageMeta(event),
});
} else {
// 如果消息不存在，创建新消息
@@ -311,6 +361,7 @@ export function useEventHandler(config: EventHandlerConfig) {
content: event.accumulated_content || event.content || '',
timestamp: new Date(),
status: 'streaming',
...buildMessageMeta(event),
};
messages.value.push(streamMsg);
}
@@ -342,6 +393,7 @@ export function useEventHandler(config: EventHandlerConfig) {
content: '循环执行完成',
node_id: loopEvent.node_id,
node_type: 'loop',
...buildReasoningMeta(event),
output: outputs,
status: 'completed',
timestamp: new Date().toISOString(),
@@ -369,6 +421,7 @@ export function useEventHandler(config: EventHandlerConfig) {
content: `循环第 ${event.iteration || '-'} 次完成`,
node_id: event.node_id,
node_type: 'loop',
...buildReasoningMeta(event),
output: event.output,
status: 'completed',
timestamp: new Date().toISOString(),
@@ -395,6 +448,7 @@ export function useEventHandler(config: EventHandlerConfig) {
content: `循环第 ${event.iteration || '-'} 次失败：${event.error || '执行失败'}`,
node_id: event.node_id,
node_type: 'loop',
...buildReasoningMeta(event),
status: 'completed',
timestamp: new Date().toISOString(),
});
@@ -420,6 +474,7 @@ export function useEventHandler(config: EventHandlerConfig) {
content: `循环第 ${event.iteration || '-'} 次开始`,
node_id: event.node_id,
node_type: 'loop',
...buildReasoningMeta(event),
params: { item: event.item, total: event.total },
status: 'running',
timestamp: new Date().toISOString(),
@@ -455,6 +510,7 @@ export function useEventHandler(config: EventHandlerConfig) {
content: completeLabel,
node_id: event.node_id,
node_type: event.node_type,
...buildReasoningMeta(event),
output: event.outputs,
status: 'completed',
timestamp: new Date().toISOString(),
@@ -464,6 +520,7 @@ export function useEventHandler(config: EventHandlerConfig) {
...currentSteps.value[existingIndex]!,
type: 'node_complete',
content: completeLabel,
...buildReasoningMeta(event),
output: event.outputs,
status: 'completed',
};
@@ -501,6 +558,7 @@ export function useEventHandler(config: EventHandlerConfig) {
content,
node_id: event.node_id,
node_type: 'parallel',
...buildReasoningMeta(event),
output: {
branch_results: branchResults,
total_tokens: event.total_tokens,
@@ -513,6 +571,7 @@ export function useEventHandler(config: EventHandlerConfig) {
...currentSteps.value[existingIndex]!,
type: 'parallel_complete',
content,
...buildReasoningMeta(event),
output: {
branch_results: branchResults,
total_tokens: event.total_tokens,
@@ -533,7 +592,8 @@ export function useEventHandler(config: EventHandlerConfig) {
content: `并行分支开始：${getItemCount(branches)} 个分支`,
node_id: event.node_id,
node_type: 'parallel',
params: { branches },
...buildReasoningMeta(event),
params: { branches, branch_labels: event.branch_labels },
status: 'running',
timestamp: new Date().toISOString(),
});
@@ -551,6 +611,7 @@ export function useEventHandler(config: EventHandlerConfig) {
updateAssistantMessage(msgId, {
status: 'completed',
content: nodeEvent.content || '',
...buildMessageMeta(event),
});
} else {
const newMsg: ChatMessage = {
@@ -559,6 +620,7 @@ export function useEventHandler(config: EventHandlerConfig) {
content: nodeEvent.content || '',
timestamp: new Date(),
status: 'completed',
...buildMessageMeta(event),
};
messages.value.push(newMsg);
}
@@ -581,6 +643,7 @@ export function useEventHandler(config: EventHandlerConfig) {
),
node_id: event.node_id,
node_type: event.node_type,
...buildReasoningMeta(event),
status: 'running',
timestamp: new Date().toISOString(),
});
@@ -622,6 +685,7 @@ export function useEventHandler(config: EventHandlerConfig) {
'等待用户输入',
node_id: event.node_id,
node_type: event.node_type,
...buildReasoningMeta(event),
params: configData,
status: 'running',
timestamp: new Date().toISOString(),
web/apps/web-ele/src/views/ai-platform/workflow-runs/modules/detail-dialog.vue
+123 -3
View File
@@ -91,13 +91,14 @@ const agentSummaries = computed(() => {
for (const log of executionLogs.value) {
const meta = getLogMeta(log);
const code = meta.agent_code;
const collaboration = meta.collaboration || {};
const code = meta.agent_code || collaboration.agent_code;
if (!code) continue;
const current = agents.get(code) || {
code,
model: meta.model || meta.model_id || '-',
name: meta.agent_name || code,
model: meta.model || collaboration.model || meta.model_id || collaboration.model_id || '-',
name: meta.agent_name || collaboration.agent_name || code,
steps: 0,
tokens: 0,
};
@@ -112,6 +113,43 @@ const agentSummaries = computed(() => {
return [...agents.values()];
});
const collaborationTimeline = computed(() => {
return executionLogs.value
.map((log, index) => {
const meta = getLogMeta(log);
const collaboration = meta.collaboration || {};
const agentCode = meta.agent_code || collaboration.agent_code;
const agentName = meta.agent_name || collaboration.agent_name || agentCode;
const branch = log.branch_label || log.branch || collaboration.branch_label;
const subflowName = collaboration.subflow_name || meta.subflow_name;
const model = meta.model || collaboration.model || meta.model_id || collaboration.model_id;
const title =
agentName ||
subflowName ||
branch ||
log.node_label ||
log.node_id ||
`#${index + 1}`;
const summaryParts = [
branch ? `分支：${branch}` : '',
subflowName ? `子流程：${subflowName}` : '',
model ? `模型：${model}` : '',
].filter(Boolean);
return {
key: `${log.node_id || 'node'}-${index}`,
nodeId: log.node_id,
title,
subtitle: log.node_label || log.node_id,
status: log.status,
summary: summaryParts.join(' · '),
elapsed: log.elapsed_time,
tokens: log.tokens_used || 0,
hasSignal: Boolean(agentName || branch || subflowName || model),
};
})
.filter((item) => item.hasSignal);
});
async function loadDetail() {
if (!runId.value) return;
@@ -341,6 +379,40 @@ defineExpose({ open });
<div v-else class="text-muted-foreground text-sm">
{{ $t('ai-platform.workflowRuns.detail.noAgentLogs') }}
</div>
<div class="mt-3 border-t pt-3">
<div class="mb-2 flex items-center justify-between">
<span class="text-sm font-medium">协作通信</span>
<ElTag size="small">{{ collaborationTimeline.length }}</ElTag>
</div>
<div v-if="collaborationTimeline.length" class="collaboration-timeline">
<button
v-for="item in collaborationTimeline"
:key="item.key"
class="collaboration-item"
type="button"
@click="selectLog(item.nodeId)"
>
<span
class="collaboration-dot"
:class="`is-${getLogStatusType(item.status)}`"
></span>
<span class="min-w-0">
<span class="block truncate text-xs font-medium">
{{ item.title }}
</span>
<span class="text-muted-foreground block truncate text-xs">
{{ item.summary || item.subtitle }}
</span>
</span>
<span class="text-muted-foreground shrink-0 text-xs">
{{ formatDuration(item.elapsed) }}
</span>
</button>
</div>
<div v-else class="text-muted-foreground text-sm">
暂无协作通信记录
</div>
</div>
</div>
</div>
@@ -509,6 +581,54 @@ defineExpose({ open });
max-height: 140px;
}
.workflow-run-detail-dialog .collaboration-timeline {
display: flex;
flex-direction: column;
gap: 6px;
}
.workflow-run-detail-dialog .collaboration-item {
display: grid;
grid-template-columns: 8px minmax(0, 1fr) auto;
align-items: center;
gap: 8px;
width: 100%;
border: 1px solid var(--el-border-color-lighter);
border-radius: 6px;
background: var(--el-fill-color-blank);
padding: 8px 10px;
text-align: left;
cursor: pointer;
}
.workflow-run-detail-dialog .collaboration-item:hover {
border-color: var(--el-color-primary-light-5);
background: var(--el-fill-color-light);
}
.workflow-run-detail-dialog .collaboration-dot {
width: 8px;
height: 8px;
border-radius: 999px;
background: var(--el-text-color-placeholder);
}
.workflow-run-detail-dialog .collaboration-dot.is-success {
background: var(--el-color-success);
}
.workflow-run-detail-dialog .collaboration-dot.is-danger {
background: var(--el-color-danger);
}
.workflow-run-detail-dialog .collaboration-dot.is-warning {
background: var(--el-color-warning);
}
.workflow-run-detail-dialog .collaboration-dot.is-primary {
background: var(--el-color-primary);
}
@media (max-width: 1024px) {
.workflow-run-detail-dialog .run-report-grid,
.workflow-run-detail-dialog .run-detail-main {