perf: mcp save raw schema (#5030)

* perf: mcp save raw schema

* fix: test

* code

* perf: json schema test

* perf: mcp
This commit is contained in:
Archer
2025-06-13 18:46:55 +08:00
committed by GitHub
parent 0914eacb5e
commit 9d6a48a62f
35 changed files with 424 additions and 415 deletions

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@@ -0,0 +1,86 @@
import { WorkflowIOValueTypeEnum } from '../workflow/constants';
import { FlowNodeInputTypeEnum } from '../workflow/node/constant';
import type { FlowNodeInputItemType } from '../workflow/type/io';
type SchemaInputValueType = 'string' | 'number' | 'integer' | 'boolean' | 'array' | 'object';
export type JsonSchemaPropertiesItemType = {
description?: string;
type: SchemaInputValueType;
enum?: string[];
minimum?: number;
maximum?: number;
items?: { type: SchemaInputValueType };
};
export type JSONSchemaInputType = {
type: SchemaInputValueType;
properties?: Record<string, JsonSchemaPropertiesItemType>;
required?: string[];
};
const getNodeInputTypeFromSchemaInputType = ({
type,
arrayItems
}: {
type: SchemaInputValueType;
arrayItems?: { type: SchemaInputValueType };
}) => {
if (type === 'string') return WorkflowIOValueTypeEnum.string;
if (type === 'number') return WorkflowIOValueTypeEnum.number;
if (type === 'integer') return WorkflowIOValueTypeEnum.number;
if (type === 'boolean') return WorkflowIOValueTypeEnum.boolean;
if (type === 'object') return WorkflowIOValueTypeEnum.object;
if (!arrayItems) return WorkflowIOValueTypeEnum.arrayAny;
const itemType = arrayItems.type;
if (itemType === 'string') return WorkflowIOValueTypeEnum.arrayString;
if (itemType === 'number') return WorkflowIOValueTypeEnum.arrayNumber;
if (itemType === 'integer') return WorkflowIOValueTypeEnum.arrayNumber;
if (itemType === 'boolean') return WorkflowIOValueTypeEnum.arrayBoolean;
if (itemType === 'object') return WorkflowIOValueTypeEnum.arrayObject;
return WorkflowIOValueTypeEnum.arrayAny;
};
const getNodeInputRenderTypeFromSchemaInputType = ({
type,
enum: enumList,
minimum,
maximum
}: JsonSchemaPropertiesItemType) => {
if (enumList && enumList.length > 0) {
return {
value: enumList[0],
renderTypeList: [FlowNodeInputTypeEnum.select],
list: enumList.map((item) => ({ label: item, value: item }))
};
}
if (type === 'string') {
return {
renderTypeList: [FlowNodeInputTypeEnum.input]
};
}
if (type === 'number') {
return {
renderTypeList: [FlowNodeInputTypeEnum.numberInput],
max: maximum,
min: minimum
};
}
if (type === 'boolean') {
return {
renderTypeList: [FlowNodeInputTypeEnum.switch]
};
}
return { renderTypeList: [FlowNodeInputTypeEnum.JSONEditor] };
};
export const jsonSchema2NodeInput = (jsonSchema: JSONSchemaInputType): FlowNodeInputItemType[] => {
return Object.entries(jsonSchema?.properties || {}).map(([key, value]) => ({
key,
label: key,
valueType: getNodeInputTypeFromSchemaInputType({ type: value.type, arrayItems: value.items }),
description: value.description,
toolDescription: value.description || key,
required: jsonSchema?.required?.includes(key),
...getNodeInputRenderTypeFromSchemaInputType(value)
}));
};

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@@ -0,0 +1,12 @@
import type { McpToolConfigType } from '../type';
export type McpToolSetDataType = {
url: string;
headerSecret?: StoreSecretValueType;
toolList: McpToolConfigType[];
};
export type McpToolDataType = McpToolConfigType & {
url: string;
headerSecret?: StoreSecretValueType;
};

View File

@@ -1,4 +1,8 @@
import { NodeOutputKeyEnum, WorkflowIOValueTypeEnum } from '../../workflow/constants';
import {
NodeInputKeyEnum,
NodeOutputKeyEnum,
WorkflowIOValueTypeEnum
} from '../../workflow/constants';
import {
FlowNodeInputTypeEnum,
FlowNodeOutputTypeEnum,
@@ -9,6 +13,7 @@ import { type McpToolConfigType } from '../type';
import { i18nT } from '../../../../web/i18n/utils';
import { type RuntimeNodeItemType } from '../../workflow/runtime/type';
import { type StoreSecretValueType } from '../../../common/secret/type';
import { jsonSchema2NodeInput } from '../jsonschema';
export const getMCPToolSetRuntimeNode = ({
url,
@@ -30,14 +35,14 @@ export const getMCPToolSetRuntimeNode = ({
intro: 'MCP Tools',
inputs: [
{
key: 'toolSetData',
key: NodeInputKeyEnum.toolSetData,
label: 'Tool Set Data',
valueType: WorkflowIOValueTypeEnum.object,
renderTypeList: [FlowNodeInputTypeEnum.hidden],
value: {
url,
toolList,
headerSecret
headerSecret,
toolList
}
}
],
@@ -65,7 +70,7 @@ export const getMCPToolRuntimeNode = ({
intro: tool.description,
inputs: [
{
key: 'toolData',
key: NodeInputKeyEnum.toolData,
label: 'Tool Data',
valueType: WorkflowIOValueTypeEnum.object,
renderTypeList: [FlowNodeInputTypeEnum.hidden],
@@ -75,23 +80,7 @@ export const getMCPToolRuntimeNode = ({
headerSecret
}
},
...Object.entries(tool.inputSchema?.properties || {}).map(([key, value]) => ({
key,
label: key,
valueType: value.type as WorkflowIOValueTypeEnum, // TODO: 这里需要做一个映射
description: value.description,
toolDescription: value.description || key,
required: tool.inputSchema?.required?.includes(key) || false,
renderTypeList: [
value.type === 'string'
? FlowNodeInputTypeEnum.input
: value.type === 'number'
? FlowNodeInputTypeEnum.numberInput
: value.type === 'boolean'
? FlowNodeInputTypeEnum.switch
: FlowNodeInputTypeEnum.JSONEditor
]
}))
...jsonSchema2NodeInput(tool.inputSchema)
],
outputs: [
{

View File

@@ -15,6 +15,7 @@ import type { ParentIdType } from '../../common/parentFolder/type';
import { FlowNodeInputTypeEnum } from '../../core/workflow/node/constant';
import type { WorkflowTemplateBasicType } from '@fastgpt/global/core/workflow/type';
import type { SourceMemberType } from '../../support/user/type';
import type { JSONSchemaInputType } from './jsonschema';
export type AppSchema = {
_id: string;
@@ -110,11 +111,7 @@ export type AppSimpleEditFormType = {
export type McpToolConfigType = {
name: string;
description: string;
inputSchema: {
type: string;
properties?: Record<string, { type: string; description?: string }>;
required?: string[];
};
inputSchema: JSONSchemaInputType;
};
/* app chat config type */

View File

@@ -1,4 +1,5 @@
import { i18nT } from '../../../web/i18n/utils';
import type { JsonSchemaPropertiesItemType } from '../app/jsonschema';
export enum FlowNodeTemplateTypeEnum {
systemInput = 'systemInput',
@@ -40,7 +41,11 @@ export enum WorkflowIOValueTypeEnum {
selectApp = 'selectApp'
}
export const toolValueTypeList = [
export const toolValueTypeList: {
label: string;
value: WorkflowIOValueTypeEnum;
jsonSchema: JsonSchemaPropertiesItemType;
}[] = [
{
label: WorkflowIOValueTypeEnum.string,
value: WorkflowIOValueTypeEnum.string,
@@ -93,6 +98,14 @@ export const toolValueTypeList = [
}
}
];
export const valueTypeJsonSchemaMap: Record<string, JsonSchemaPropertiesItemType> =
toolValueTypeList.reduce(
(acc, item) => {
acc[item.value] = item.jsonSchema;
return acc;
},
{} as Record<string, JsonSchemaPropertiesItemType>
);
/* reg: modulename key */
export enum NodeInputKeyEnum {
@@ -231,7 +244,11 @@ export enum NodeInputKeyEnum {
// comment
commentText = 'commentText',
commentSize = 'commentSize'
commentSize = 'commentSize',
// Tool
toolData = 'system_toolData',
toolSetData = 'system_toolSetData'
}
export enum NodeOutputKeyEnum {

View File

@@ -1,7 +1,10 @@
{
"extends": "../../tsconfig.json",
"compilerOptions": {
"baseUrl": "."
"baseUrl": ".",
"paths": {
"@fastgpt/global/*": ["./*"]
}
},
"include": ["next-env.d.ts", "**/*.ts", "**/*.tsx", "**/*.d.ts"]
}

View File

@@ -14,7 +14,10 @@
"isolatedModules": true,
"jsx": "preserve",
"incremental": true,
"baseUrl": "."
"baseUrl": ".",
"paths": {
"@fastgpt/plugins/*": ["./*"]
}
},
"include": ["next-env.d.ts", "**/*.ts", "**/*.tsx", "**/*.d.ts", "../**/*.d.ts"],
"exclude": ["node_modules"]

View File

@@ -167,7 +167,15 @@ export async function delFileByFileIdList({
const bucket = getGridBucket(bucketName);
for await (const fileId of fileIdList) {
await bucket.delete(new Types.ObjectId(fileId));
try {
await bucket.delete(new Types.ObjectId(String(fileId)));
} catch (error: any) {
if (typeof error?.message === 'string' && error.message.includes('File not found')) {
addLog.warn('File not found', { fileId });
return;
}
return Promise.reject(error);
}
}
});
}

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@@ -4,10 +4,10 @@ import { type StoreSecretValueType } from '@fastgpt/global/common/secret/type';
import { HeaderSecretTypeEnum } from '@fastgpt/global/common/secret/constants';
export const storeSecretValue = (
storeSecret: StoreSecretValueType
storeSecret: StoreSecretValueType = {}
): Record<string, SecretValueType> => {
return Object.fromEntries(
Object.entries(storeSecret || {}).map(([key, value]) => [
Object.entries(storeSecret).map(([key, value]) => [
key,
{
secret: encryptSecret(value.value),

View File

@@ -10,7 +10,11 @@ import { ChatItemValueTypeEnum, ChatRoleEnum } from '@fastgpt/global/core/chat/c
import { createChatCompletion } from '../../../ai/config';
import type { ContextExtractAgentItemType } from '@fastgpt/global/core/workflow/template/system/contextExtract/type';
import type { NodeInputKeyEnum } from '@fastgpt/global/core/workflow/constants';
import { NodeOutputKeyEnum, toolValueTypeList } from '@fastgpt/global/core/workflow/constants';
import {
NodeOutputKeyEnum,
toolValueTypeList,
valueTypeJsonSchemaMap
} from '@fastgpt/global/core/workflow/constants';
import { DispatchNodeResponseKeyEnum } from '@fastgpt/global/core/workflow/runtime/constants';
import type { ModuleDispatchProps } from '@fastgpt/global/core/workflow/runtime/type';
import { sliceJsonStr } from '@fastgpt/global/common/string/tools';
@@ -164,9 +168,10 @@ const getJsonSchema = ({ params: { extractKeys } }: ActionProps) => {
}
> = {};
extractKeys.forEach((item) => {
const jsonSchema = (
toolValueTypeList.find((type) => type.value === item.valueType) || toolValueTypeList[0]
)?.jsonSchema;
const jsonSchema = item.valueType
? valueTypeJsonSchemaMap[item.valueType] || toolValueTypeList[0].jsonSchema
: toolValueTypeList[0].jsonSchema;
properties[item.key] = {
...jsonSchema,
description: item.desc,

View File

@@ -37,7 +37,7 @@ import {
removeDatasetCiteText,
parseLLMStreamResponse
} from '../../../../ai/utils';
import { toolValueTypeList } from '@fastgpt/global/core/workflow/constants';
import { toolValueTypeList, valueTypeJsonSchemaMap } from '@fastgpt/global/core/workflow/constants';
import { type WorkflowInteractiveResponseType } from '@fastgpt/global/core/workflow/template/system/interactive/type';
import { ChatItemValueTypeEnum } from '@fastgpt/global/core/chat/constants';
@@ -162,6 +162,14 @@ export const runToolWithFunctionCall = async (
const assistantResponses = response?.assistantResponses || [];
const functions: ChatCompletionCreateParams.Function[] = toolNodes.map((item) => {
if (item.jsonSchema) {
return {
name: item.nodeId,
description: item.intro,
parameters: item.jsonSchema
};
}
const properties: Record<
string,
{
@@ -172,9 +180,9 @@ export const runToolWithFunctionCall = async (
}
> = {};
item.toolParams.forEach((item) => {
const jsonSchema = (
toolValueTypeList.find((type) => type.value === item.valueType) || toolValueTypeList[0]
).jsonSchema;
const jsonSchema = item.valueType
? valueTypeJsonSchemaMap[item.valueType] || toolValueTypeList[0].jsonSchema
: toolValueTypeList[0].jsonSchema;
properties[item.key] = {
...jsonSchema,

View File

@@ -1,4 +1,4 @@
import { NodeOutputKeyEnum } from '@fastgpt/global/core/workflow/constants';
import { NodeInputKeyEnum, NodeOutputKeyEnum } from '@fastgpt/global/core/workflow/constants';
import { DispatchNodeResponseKeyEnum } from '@fastgpt/global/core/workflow/runtime/constants';
import type {
ChatDispatchProps,
@@ -22,7 +22,7 @@ import { formatModelChars2Points } from '../../../../../support/wallet/usage/uti
import { getHistoryPreview } from '@fastgpt/global/core/chat/utils';
import { runToolWithFunctionCall } from './functionCall';
import { runToolWithPromptCall } from './promptCall';
import { getNanoid, replaceVariable } from '@fastgpt/global/common/string/tools';
import { replaceVariable } from '@fastgpt/global/common/string/tools';
import { getMultiplePrompt, Prompt_Tool_Call } from './constants';
import { filterToolResponseToPreview } from './utils';
import { type InteractiveNodeResponseType } from '@fastgpt/global/core/workflow/template/system/interactive/type';
@@ -32,6 +32,9 @@ import { FlowNodeTypeEnum } from '@fastgpt/global/core/workflow/node/constant';
import { ModelTypeEnum } from '@fastgpt/global/core/ai/model';
import { getDocumentQuotePrompt } from '@fastgpt/global/core/ai/prompt/AIChat';
import { postTextCensor } from '../../../../chat/postTextCensor';
import type { FlowNodeInputItemType } from '@fastgpt/global/core/workflow/type/io';
import type { McpToolDataType } from '@fastgpt/global/core/app/mcpTools/type';
import type { JSONSchemaInputType } from '@fastgpt/global/core/app/jsonschema';
type Response = DispatchNodeResultType<{
[NodeOutputKeyEnum.answerText]: string;
@@ -78,10 +81,24 @@ export const dispatchRunTools = async (props: DispatchToolModuleProps): Promise<
})
.filter(Boolean)
.map<ToolNodeItemType>((tool) => {
const toolParams = tool?.inputs.filter((input) => !!input.toolDescription) || [];
const toolParams: FlowNodeInputItemType[] = [];
// Raw json schema(MCP tool)
let jsonSchema: JSONSchemaInputType | undefined = undefined;
tool?.inputs.forEach((input) => {
if (input.toolDescription) {
toolParams.push(input);
}
if (input.key === NodeInputKeyEnum.toolData || input.key === 'toolData') {
const value = input.value as McpToolDataType;
jsonSchema = value.inputSchema;
}
});
return {
...(tool as RuntimeNodeItemType),
toolParams
toolParams,
jsonSchema
};
});
@@ -172,28 +189,26 @@ export const dispatchRunTools = async (props: DispatchToolModuleProps): Promise<
reserveId: false
// reserveTool: !!toolModel.toolChoice
});
const requestParams = {
runtimeNodes,
runtimeEdges,
toolNodes,
toolModel,
messages: adaptMessages,
interactiveEntryToolParams: lastInteractive?.toolParams
};
if (toolModel.toolChoice) {
return runToolWithToolChoice({
...props,
runtimeNodes,
runtimeEdges,
toolNodes,
toolModel,
maxRunToolTimes: 30,
messages: adaptMessages,
interactiveEntryToolParams: lastInteractive?.toolParams
...requestParams,
maxRunToolTimes: 30
});
}
if (toolModel.functionCall) {
return runToolWithFunctionCall({
...props,
runtimeNodes,
runtimeEdges,
toolNodes,
toolModel,
messages: adaptMessages,
interactiveEntryToolParams: lastInteractive?.toolParams
...requestParams
});
}
@@ -218,12 +233,7 @@ export const dispatchRunTools = async (props: DispatchToolModuleProps): Promise<
return runToolWithPromptCall({
...props,
runtimeNodes,
runtimeEdges,
toolNodes,
toolModel,
messages: adaptMessages,
interactiveEntryToolParams: lastInteractive?.toolParams
...requestParams
});
})();

View File

@@ -38,7 +38,7 @@ import {
parseLLMStreamResponse
} from '../../../../ai/utils';
import { type WorkflowResponseType } from '../../type';
import { toolValueTypeList } from '@fastgpt/global/core/workflow/constants';
import { toolValueTypeList, valueTypeJsonSchemaMap } from '@fastgpt/global/core/workflow/constants';
import { type WorkflowInteractiveResponseType } from '@fastgpt/global/core/workflow/template/system/interactive/type';
import { ChatItemValueTypeEnum } from '@fastgpt/global/core/chat/constants';
@@ -166,6 +166,14 @@ export const runToolWithPromptCall = async (
const toolsPrompt = JSON.stringify(
toolNodes.map((item) => {
if (item.jsonSchema) {
return {
toolId: item.nodeId,
description: item.intro,
parameters: item.jsonSchema
};
}
const properties: Record<
string,
{
@@ -176,9 +184,9 @@ export const runToolWithPromptCall = async (
}
> = {};
item.toolParams.forEach((item) => {
const jsonSchema = (
toolValueTypeList.find((type) => type.value === item.valueType) || toolValueTypeList[0]
).jsonSchema;
const jsonSchema = item.valueType
? valueTypeJsonSchemaMap[item.valueType] || toolValueTypeList[0].jsonSchema
: toolValueTypeList[0].jsonSchema;
properties[item.key] = {
...jsonSchema,

View File

@@ -33,7 +33,7 @@ import {
parseLLMStreamResponse
} from '../../../../ai/utils';
import { getNanoid, sliceStrStartEnd } from '@fastgpt/global/common/string/tools';
import { toolValueTypeList } from '@fastgpt/global/core/workflow/constants';
import { toolValueTypeList, valueTypeJsonSchemaMap } from '@fastgpt/global/core/workflow/constants';
import { type WorkflowInteractiveResponseType } from '@fastgpt/global/core/workflow/template/system/interactive/type';
import { ChatItemValueTypeEnum } from '@fastgpt/global/core/chat/constants';
import { getErrText } from '@fastgpt/global/common/error/utils';
@@ -211,6 +211,17 @@ export const runToolWithToolChoice = async (
const assistantResponses = response?.assistantResponses || [];
const tools: ChatCompletionTool[] = toolNodes.map((item) => {
if (item.jsonSchema) {
return {
type: 'function',
function: {
name: item.nodeId,
description: item.intro || item.name,
parameters: item.jsonSchema
}
};
}
const properties: Record<
string,
{
@@ -224,9 +235,10 @@ export const runToolWithToolChoice = async (
}
> = {};
item.toolParams.forEach((item) => {
const jsonSchema = (
toolValueTypeList.find((type) => type.value === item.valueType) || toolValueTypeList[0]
)?.jsonSchema;
const jsonSchema = item.valueType
? valueTypeJsonSchemaMap[item.valueType] || toolValueTypeList[0].jsonSchema
: toolValueTypeList[0].jsonSchema;
properties[item.key] = {
...jsonSchema,
description: item.toolDescription || '',

View File

@@ -16,6 +16,7 @@ import { ChatItemValueItemType } from '@fastgpt/global/core/chat/type';
import type { DispatchNodeResponseKeyEnum } from '@fastgpt/global/core/workflow/runtime/constants';
import type { WorkflowInteractiveResponseType } from '@fastgpt/global/core/workflow/template/system/interactive/type';
import type { LLMModelItemType } from '@fastgpt/global/core/ai/model';
import type { JSONSchemaInputType } from '@fastgpt/global/core/app/jsonschema';
export type DispatchToolModuleProps = ModuleDispatchProps<{
[NodeInputKeyEnum.history]?: ChatItemType[];
@@ -51,4 +52,5 @@ export type RunToolResponse = {
};
export type ToolNodeItemType = RuntimeNodeItemType & {
toolParams: RuntimeNodeItemType['inputs'];
jsonSchema?: JSONSchemaInputType;
};

View File

@@ -3,18 +3,16 @@ import {
type ModuleDispatchProps
} from '@fastgpt/global/core/workflow/runtime/type';
import { DispatchNodeResponseKeyEnum } from '@fastgpt/global/core/workflow/runtime/constants';
import type { NodeInputKeyEnum } from '@fastgpt/global/core/workflow/constants';
import { NodeOutputKeyEnum } from '@fastgpt/global/core/workflow/constants';
import { MCPClient } from '../../../app/mcp';
import { getErrText } from '@fastgpt/global/common/error/utils';
import { type StoreSecretValueType } from '@fastgpt/global/common/secret/type';
import { getSecretValue } from '../../../../common/secret/utils';
import type { McpToolDataType } from '@fastgpt/global/core/app/mcpTools/type';
type RunToolProps = ModuleDispatchProps<{
toolData: {
name: string;
url: string;
headerSecret: StoreSecretValueType;
};
toolData?: McpToolDataType;
[NodeInputKeyEnum.toolData]: McpToolDataType;
}>;
type RunToolResponse = DispatchNodeResultType<{
@@ -27,13 +25,13 @@ export const dispatchRunTool = async (props: RunToolProps): Promise<RunToolRespo
node: { avatar }
} = props;
const { toolData, ...restParams } = params;
const { name: toolName, url } = toolData;
const { toolData, system_toolData, ...restParams } = params;
const { name: toolName, url, headerSecret } = toolData || system_toolData;
const mcpClient = new MCPClient({
url,
headers: getSecretValue({
storeSecret: toolData.headerSecret
storeSecret: headerSecret
})
});

View File

@@ -14,6 +14,7 @@ import { getNanoid } from '@fastgpt/global/common/string/tools';
import { type SearchDataResponseItemType } from '@fastgpt/global/core/dataset/type';
import { getMCPToolRuntimeNode } from '@fastgpt/global/core/app/mcpTools/utils';
import { FlowNodeTypeEnum } from '@fastgpt/global/core/workflow/node/constant';
import type { McpToolSetDataType } from '@fastgpt/global/core/app/mcpTools/type';
export const getWorkflowResponseWrite = ({
res,
@@ -161,11 +162,13 @@ export const rewriteRuntimeWorkFlow = (
for (const toolSetNode of toolSetNodes) {
nodeIdsToRemove.add(toolSetNode.nodeId);
const toolList =
toolSetNode.inputs.find((input) => input.key === 'toolSetData')?.value?.toolList || [];
const url = toolSetNode.inputs.find((input) => input.key === 'toolSetData')?.value?.url;
const headerSecret = toolSetNode.inputs.find((input) => input.key === 'toolSetData')?.value
?.headerSecret;
const toolSetValue = toolSetNode.inputs[0]?.value as McpToolSetDataType | undefined;
if (!toolSetValue) continue;
const toolList = toolSetValue.toolList;
const url = toolSetValue.url;
const headerSecret = toolSetValue.headerSecret;
const incomingEdges = edges.filter((edge) => edge.target === toolSetNode.nodeId);

View File

@@ -3,7 +3,7 @@
"version": "1.0.0",
"dependencies": {
"@fastgpt/global": "workspace:*",
"@modelcontextprotocol/sdk": "^1.10.2",
"@modelcontextprotocol/sdk": "^1.12.1",
"@node-rs/jieba": "2.0.1",
"@xmldom/xmldom": "^0.8.10",
"@zilliz/milvus2-sdk-node": "2.4.2",

View File

@@ -1,7 +1,10 @@
{
"extends": "../../tsconfig.json",
"compilerOptions": {
"baseUrl": "."
"baseUrl": ".",
"paths": {
"@fastgpt/servive/*": ["./*"]
}
},
"include": ["next-env.d.ts", "**/*.ts", "**/*.tsx", "**/*.d.ts", "../../**/*.d.ts"]
}

View File

@@ -15,7 +15,7 @@
"channel_status_disabled": "Disabled",
"channel_status_enabled": "Enable",
"channel_status_unknown": "unknown",
"channel_type": "Manufacturer",
"channel_type": "Protocol Type",
"chart_mode_cumulative": "Cumulative",
"chart_mode_incremental": "Incremental",
"clear_model": "Clear the model",
@@ -74,7 +74,7 @@
"select_channel": "Select a channel name",
"select_model": "Select a model",
"select_model_placeholder": "Select the model available under this channel",
"select_provider_placeholder": "Search for manufacturers",
"select_provider_placeholder": "Search protocol type",
"selected_model_empty": "Choose at least one model",
"start_test": "Batch test {{num}} models",
"test_failed": "There are {{num}} models that report errors",

View File

@@ -15,7 +15,7 @@
"channel_status_disabled": "禁用",
"channel_status_enabled": "启用",
"channel_status_unknown": "未知",
"channel_type": "厂商",
"channel_type": "协议类型",
"chart_mode_cumulative": "累积",
"chart_mode_incremental": "分时",
"clear_model": "清空模型",
@@ -74,7 +74,7 @@
"select_channel": "选择渠道名",
"select_model": "选择模型",
"select_model_placeholder": "选择该渠道下可用的模型",
"select_provider_placeholder": "搜索厂商",
"select_provider_placeholder": "搜索协议类型",
"selected_model_empty": "至少选择一个模型",
"start_test": "批量测试{{num}}个模型",
"test_failed": "有{{num}}个模型报错",

View File

@@ -15,7 +15,7 @@
"channel_status_disabled": "停用",
"channel_status_enabled": "啟用",
"channel_status_unknown": "未知",
"channel_type": "廠商",
"channel_type": "協議類型",
"chart_mode_cumulative": "累積",
"chart_mode_incremental": "分時",
"clear_model": "清空模型",
@@ -74,7 +74,7 @@
"select_channel": "選擇管道名稱",
"select_model": "選擇模型",
"select_model_placeholder": "選擇該管道下可用的模型",
"select_provider_placeholder": "搜尋廠商",
"select_provider_placeholder": "搜索協議類型",
"selected_model_empty": "至少選擇一個模型",
"start_test": "批次測試{{num}}個模型",
"test_failed": "有{{num}}個模型報錯",

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@@ -1,7 +1,10 @@
{
"extends":"../../tsconfig.json",
"extends": "../../tsconfig.json",
"compilerOptions": {
"baseUrl": "."
"baseUrl": ".",
"paths": {
"@fastgpt/web/*": ["./*"]
}
},
"include": ["next-env.d.ts", "**/*.ts", "**/*.tsx", "**/*.d.ts", "../**/*.d.ts"]
}