Commit aeba7926 by Archer Committed by GitHub

Workflow deep and workflow connection performance (#2664)

* feat: Workflow dispatch deep

* perf: workflow connection
parent 7473be59
......@@ -22,3 +22,6 @@ weight: 813
5. 新增 - 插件支持配置使用引导、全局变量和文件输入。
6. 新增 - 简易模式支持新的版本管理方式。
7. 新增 - 聊天记录滚动加载,不再只加载 30 条。
8. 优化 - 工作流嵌套层级限制 20 层,避免因编排不合理导致的无限死循环。
9. 优化 - 工作流 handler 性能优化。
10. 修复 - 知识库选择权限问题。
......@@ -24,7 +24,8 @@ export enum DispatchNodeResponseKeyEnum {
assistantResponses = 'assistantResponses', // assistant response
rewriteHistories = 'rewriteHistories', // If have the response, workflow histories will be rewrite
interactive = 'INTERACTIVE' // is interactive
interactive = 'INTERACTIVE', // is interactive
runTimes = 'runTimes' // run times
}
export const needReplaceReferenceInputTypeList = [
......
......@@ -45,6 +45,7 @@ export type ChatDispatchProps = {
maxRunTimes: number;
isToolCall?: boolean;
workflowStreamResponse?: WorkflowResponseType;
workflowDispatchDeep?: number;
};
export type ModuleDispatchProps<T> = ChatDispatchProps & {
......@@ -181,6 +182,7 @@ export type DispatchNodeResultType<T = {}> = {
[DispatchNodeResponseKeyEnum.toolResponses]?: ToolRunResponseItemType; // Tool response
[DispatchNodeResponseKeyEnum.assistantResponses]?: AIChatItemValueItemType[]; // Assistant response(Store to db)
[DispatchNodeResponseKeyEnum.rewriteHistories]?: ChatItemType[];
[DispatchNodeResponseKeyEnum.runTimes]?: number;
} & T;
/* Single node props */
......
export const WORKFLOW_MAX_RUN_TIMES = process.env.WORKFLOW_MAX_RUN_TIMES
? parseInt(process.env.WORKFLOW_MAX_RUN_TIMES)
: 500;
......@@ -298,7 +298,10 @@ export const runToolWithFunctionCall = async (
dispatchFlowResponse,
totalTokens: response?.totalTokens ? response.totalTokens + tokens : tokens,
completeMessages: filterMessages,
assistantResponses: toolNodeAssistants
assistantResponses: toolNodeAssistants,
runTimes:
(response?.runTimes || 0) +
flatToolsResponseData.reduce((sum, item) => sum + item.runTimes, 0)
};
}
......@@ -310,7 +313,10 @@ export const runToolWithFunctionCall = async (
{
dispatchFlowResponse,
totalTokens: response?.totalTokens ? response.totalTokens + tokens : tokens,
assistantResponses: toolNodeAssistants
assistantResponses: toolNodeAssistants,
runTimes:
(response?.runTimes || 0) +
flatToolsResponseData.reduce((sum, item) => sum + item.runTimes, 0)
}
);
} else {
......@@ -330,7 +336,8 @@ export const runToolWithFunctionCall = async (
dispatchFlowResponse: response?.dispatchFlowResponse || [],
totalTokens: response?.totalTokens ? response.totalTokens + tokens : tokens,
completeMessages,
assistantResponses: [...assistantResponses, ...toolNodeAssistant.value]
assistantResponses: [...assistantResponses, ...toolNodeAssistant.value],
runTimes: (response?.runTimes || 0) + 1
};
}
};
......
......@@ -125,7 +125,8 @@ export const dispatchRunTools = async (props: DispatchToolModuleProps): Promise<
dispatchFlowResponse, // tool flow response
totalTokens,
completeMessages = [], // The actual message sent to AI(just save text)
assistantResponses = [] // FastGPT system store assistant.value response
assistantResponses = [], // FastGPT system store assistant.value response
runTimes
} = await (async () => {
const adaptMessages = chats2GPTMessages({ messages, reserveId: false });
......@@ -195,6 +196,7 @@ export const dispatchRunTools = async (props: DispatchToolModuleProps): Promise<
const previewAssistantResponses = filterToolResponseToPreview(assistantResponses);
return {
[DispatchNodeResponseKeyEnum.runTimes]: runTimes,
[NodeOutputKeyEnum.answerText]: previewAssistantResponses
.filter((item) => item.text?.content)
.map((item) => item.text?.content || '')
......
......@@ -180,7 +180,8 @@ export const runToolWithPromptCall = async (
dispatchFlowResponse: response?.dispatchFlowResponse || [],
totalTokens: response?.totalTokens ? response.totalTokens + tokens : tokens,
completeMessages,
assistantResponses: [...assistantResponses, ...toolNodeAssistant.value]
assistantResponses: [...assistantResponses, ...toolNodeAssistant.value],
runTimes: (response?.runTimes || 0) + 1
};
}
......@@ -318,7 +319,8 @@ ANSWER: `;
dispatchFlowResponse,
totalTokens: response?.totalTokens ? response.totalTokens + tokens : tokens,
completeMessages: filterMessages,
assistantResponses: toolNodeAssistants
assistantResponses: toolNodeAssistants,
runTimes: (response?.runTimes || 0) + toolsRunResponse.moduleRunResponse.runTimes
};
}
......@@ -330,7 +332,8 @@ ANSWER: `;
{
dispatchFlowResponse,
totalTokens: response?.totalTokens ? response.totalTokens + tokens : tokens,
assistantResponses: toolNodeAssistants
assistantResponses: toolNodeAssistants,
runTimes: (response?.runTimes || 0) + toolsRunResponse.moduleRunResponse.runTimes
}
);
};
......
......@@ -325,7 +325,10 @@ export const runToolWithToolChoice = async (
dispatchFlowResponse,
totalTokens: response?.totalTokens ? response.totalTokens + tokens : tokens,
completeMessages,
assistantResponses: toolNodeAssistants
assistantResponses: toolNodeAssistants,
runTimes:
(response?.runTimes || 0) +
flatToolsResponseData.reduce((sum, item) => sum + item.runTimes, 0)
};
}
......@@ -338,7 +341,10 @@ export const runToolWithToolChoice = async (
{
dispatchFlowResponse,
totalTokens: response?.totalTokens ? response.totalTokens + tokens : tokens,
assistantResponses: toolNodeAssistants
assistantResponses: toolNodeAssistants,
runTimes:
(response?.runTimes || 0) +
flatToolsResponseData.reduce((sum, item) => sum + item.runTimes, 0)
}
);
} else {
......@@ -358,7 +364,8 @@ export const runToolWithToolChoice = async (
dispatchFlowResponse: response?.dispatchFlowResponse || [],
totalTokens: response?.totalTokens ? response.totalTokens + tokens : tokens,
completeMessages,
assistantResponses: [...assistantResponses, ...toolNodeAssistant.value]
assistantResponses: [...assistantResponses, ...toolNodeAssistant.value],
runTimes: (response?.runTimes || 0) + 1
};
}
} catch (error) {
......
......@@ -8,6 +8,7 @@ import type { RuntimeNodeItemType } from '@fastgpt/global/core/workflow/runtime/
import { ChatNodeUsageType } from '@fastgpt/global/support/wallet/bill/type';
import type { DispatchFlowResponse } from '../../type.d';
import { AIChatItemValueItemType, ChatItemValueItemType } from '@fastgpt/global/core/chat/type';
import { DispatchNodeResponseKeyEnum } from '@fastgpt/global/core/workflow/runtime/constants';
export type DispatchToolModuleProps = ModuleDispatchProps<{
[NodeInputKeyEnum.history]?: ChatItemType[];
......@@ -25,6 +26,7 @@ export type RunToolResponse = {
totalTokens: number;
completeMessages?: ChatCompletionMessageParam[];
assistantResponses?: AIChatItemValueItemType[];
[DispatchNodeResponseKeyEnum.runTimes]: number;
};
export type ToolNodeItemType = RuntimeNodeItemType & {
toolParams: RuntimeNodeItemType['inputs'];
......
......@@ -119,6 +119,31 @@ export async function dispatchWorkFlow(data: Props): Promise<DispatchFlowRespons
...props
} = data;
// 初始化深度和自动增加深度,避免无限嵌套
if (!props.workflowDispatchDeep) {
props.workflowDispatchDeep = 1;
} else {
props.workflowDispatchDeep += 1;
}
if (props.workflowDispatchDeep > 20) {
return {
flowResponses: [],
flowUsages: [],
debugResponse: {
finishedNodes: [],
finishedEdges: [],
nextStepRunNodes: []
},
[DispatchNodeResponseKeyEnum.runTimes]: 1,
[DispatchNodeResponseKeyEnum.assistantResponses]: [],
[DispatchNodeResponseKeyEnum.toolResponses]: null,
newVariables: removeSystemVariable(variables)
};
}
let workflowRunTimes = 0;
// set sse response headers
if (stream && res) {
res.setHeader('Content-Type', 'text/event-stream;charset=utf-8');
......@@ -154,7 +179,8 @@ export async function dispatchWorkFlow(data: Props): Promise<DispatchFlowRespons
nodeDispatchUsages,
toolResponses,
assistantResponses,
rewriteHistories
rewriteHistories,
runTimes = 1
}: Omit<
DispatchNodeResultType<{
[NodeOutputKeyEnum.answerText]?: string;
......@@ -163,6 +189,10 @@ export async function dispatchWorkFlow(data: Props): Promise<DispatchFlowRespons
'nodeResponse'
>
) {
// Add run times
workflowRunTimes += runTimes;
props.maxRunTimes -= runTimes;
if (responseData) {
chatResponses.push(responseData);
}
......@@ -330,7 +360,6 @@ export async function dispatchWorkFlow(data: Props): Promise<DispatchFlowRespons
const nodeRunResult = await (() => {
if (status === 'run') {
nodeRunBeforeHook(node);
props.maxRunTimes--;
addLog.debug(`[dispatchWorkFlow] nodeRunWithActive: ${node.name}`);
return nodeRunWithActive(node);
}
......@@ -565,6 +594,7 @@ export async function dispatchWorkFlow(data: Props): Promise<DispatchFlowRespons
finishedEdges: runtimeEdges,
nextStepRunNodes: debugNextStepRunNodes
},
[DispatchNodeResponseKeyEnum.runTimes]: workflowRunTimes,
[DispatchNodeResponseKeyEnum.assistantResponses]:
mergeAssistantResponseAnswerText(chatAssistantResponse),
[DispatchNodeResponseKeyEnum.toolResponses]: toolRunResponse,
......
......@@ -66,7 +66,7 @@ export const dispatchRunPlugin = async (props: RunPluginProps): Promise<RunPlugi
appId: String(plugin.id)
};
const { flowResponses, flowUsages, assistantResponses } = await dispatchWorkFlow({
const { flowResponses, flowUsages, assistantResponses, runTimes } = await dispatchWorkFlow({
...props,
runningAppInfo: {
id: String(plugin.id),
......@@ -92,6 +92,7 @@ export const dispatchRunPlugin = async (props: RunPluginProps): Promise<RunPlugi
return {
assistantResponses,
// responseData, // debug
[DispatchNodeResponseKeyEnum.runTimes]: runTimes,
[DispatchNodeResponseKeyEnum.nodeResponse]: {
moduleLogo: plugin.avatar,
totalPoints: usagePoints,
......
......@@ -75,7 +75,7 @@ export const dispatchRunAppNode = async (props: Props): Promise<Response> => {
appId: String(appData._id)
};
const { flowResponses, flowUsages, assistantResponses } = await dispatchWorkFlow({
const { flowResponses, flowUsages, assistantResponses, runTimes } = await dispatchWorkFlow({
...props,
runningAppInfo: {
id: String(appData._id),
......@@ -107,6 +107,7 @@ export const dispatchRunAppNode = async (props: Props): Promise<Response> => {
const { text } = chatValue2RuntimePrompt(assistantResponses);
return {
[DispatchNodeResponseKeyEnum.runTimes]: runTimes,
[DispatchNodeResponseKeyEnum.nodeResponse]: {
moduleLogo: appData.avatar,
query: userChatInput,
......
......@@ -22,6 +22,7 @@ export type DispatchFlowResponse = {
};
[DispatchNodeResponseKeyEnum.toolResponses]: ToolRunResponseItemType;
[DispatchNodeResponseKeyEnum.assistantResponses]: AIChatItemValueItemType[];
[DispatchNodeResponseKeyEnum.runTimes]: number;
newVariables: Record<string, string>;
};
......
......@@ -36,3 +36,6 @@ HOME_URL=/
# 日志等级: debug, info, warn, error
LOG_LEVEL=debug
STORE_LOG_LEVEL=warn
# 工作流最大运行次数,避免极端的死循环情况
WORKFLOW_MAX_RUN_TIMES=500
\ No newline at end of file
......@@ -27,6 +27,7 @@ import {
import { StoreNodeItemType } from '@fastgpt/global/core/workflow/type/node';
import { getWorkflowResponseWrite } from '@fastgpt/service/core/workflow/dispatch/utils';
import { getNanoid } from '@fastgpt/global/common/string/tools';
import { WORKFLOW_MAX_RUN_TIMES } from '@fastgpt/service/core/workflow/constants';
export type Props = {
messages: ChatCompletionMessageParam[];
......@@ -120,7 +121,7 @@ async function handler(req: NextApiRequest, res: NextApiResponse) {
chatConfig,
histories: chatMessages,
stream: true,
maxRunTimes: 200,
maxRunTimes: WORKFLOW_MAX_RUN_TIMES,
workflowStreamResponse: workflowResponseWrite
});
......
......@@ -9,6 +9,7 @@ import { PostWorkflowDebugProps, PostWorkflowDebugResponse } from '@/global/core
import { NextAPI } from '@/service/middleware/entry';
import { ReadPermissionVal } from '@fastgpt/global/support/permission/constant';
import { defaultApp } from '@/web/core/app/constants';
import { WORKFLOW_MAX_RUN_TIMES } from '@fastgpt/service/core/workflow/constants';
async function handler(
req: NextApiRequest,
......@@ -57,7 +58,7 @@ async function handler(
chatConfig: defaultApp.chatConfig,
histories: [],
stream: false,
maxRunTimes: 200
maxRunTimes: WORKFLOW_MAX_RUN_TIMES
});
pushChatUsage({
......
......@@ -59,6 +59,7 @@ import { getSystemTime } from '@fastgpt/global/common/time/timezone';
import { rewriteNodeOutputByHistories } from '@fastgpt/global/core/workflow/runtime/utils';
import { getWorkflowResponseWrite } from '@fastgpt/service/core/workflow/dispatch/utils';
import { getPluginRunUserQuery } from '@fastgpt/service/core/workflow/utils';
import { WORKFLOW_MAX_RUN_TIMES } from '@fastgpt/service/core/workflow/constants';
type FastGptWebChatProps = {
chatId?: string; // undefined: get histories from messages, '': new chat, 'xxxxx': get histories from db
......@@ -264,7 +265,7 @@ async function handler(req: NextApiRequest, res: NextApiResponse) {
chatConfig,
histories: newHistories,
stream,
maxRunTimes: 200,
maxRunTimes: WORKFLOW_MAX_RUN_TIMES,
workflowStreamResponse: workflowResponseWrite
});
}
......
......@@ -248,6 +248,14 @@ const NodeCard = (props: Props) => {
onChangeNode,
toast
]);
const RenderHandle = useMemo(() => {
return (
<>
<ConnectionSourceHandle nodeId={nodeId} />
<ConnectionTargetHandle nodeId={nodeId} />
</>
);
}, [nodeId]);
return (
<Box
......@@ -283,8 +291,7 @@ const NodeCard = (props: Props) => {
<NodeDebugResponse nodeId={nodeId} debugResult={debugResult} />
{Header}
{children}
<ConnectionSourceHandle nodeId={nodeId} />
<ConnectionTargetHandle nodeId={nodeId} />
{RenderHandle}
<EditTitleModal maxLength={20} />
</Box>
......
......@@ -13,6 +13,7 @@ import {
import { UsageSourceEnum } from '@fastgpt/global/support/wallet/usage/constants';
import { addLog } from '@fastgpt/service/common/system/log';
import { MongoApp } from '@fastgpt/service/core/app/schema';
import { WORKFLOW_MAX_RUN_TIMES } from '@fastgpt/service/core/workflow/constants';
import { dispatchWorkFlow } from '@fastgpt/service/core/workflow/dispatch';
export const getScheduleTriggerApp = async () => {
......@@ -55,7 +56,7 @@ export const getScheduleTriggerApp = async () => {
chatConfig: defaultApp.chatConfig,
histories: [],
stream: false,
maxRunTimes: 200
maxRunTimes: WORKFLOW_MAX_RUN_TIMES
});
pushChatUsage({
appName: app.name,
......
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