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81 lines
2.2 KiB
TypeScript
81 lines
2.2 KiB
TypeScript
import type { INodeProperties } from 'n8n-workflow';
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export const modelServingParameters: INodeProperties[] = [
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{
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displayName: 'Endpoint',
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name: 'endpointName',
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type: 'resourceLocator',
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default: { mode: 'list', value: '' },
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required: true,
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description:
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"The model serving endpoint to query. The input format will be automatically detected from the endpoint schema. The node will fetch the endpoint's OpenAPI schema to determine the correct invocation URL.",
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displayOptions: {
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show: {
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resource: ['modelServing'],
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operation: ['queryEndpoint'],
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},
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},
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modes: [
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{
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displayName: 'From List',
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name: 'list',
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type: 'list',
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typeOptions: {
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searchListMethod: 'getEndpoints',
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searchable: true,
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},
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},
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{
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displayName: 'By Name',
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name: 'name',
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type: 'string',
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placeholder: 'e.g. databricks-mixtral-8x7b-instruct',
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validation: [
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{
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type: 'regex',
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properties: {
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regex: '^[a-zA-Z0-9_-]+$',
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errorMessage:
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'Must be a valid endpoint name (alphanumeric, hyphens, and underscores only)',
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},
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},
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],
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},
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{
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displayName: 'By URL',
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name: 'url',
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type: 'string',
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placeholder: 'e.g. https://adb-xxx.cloud.databricks.com/ml/endpoints/my-endpoint',
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hint: 'Use the endpoint page URL (/ml/endpoints/), not the /serving-endpoints/ invocation URL.',
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extractValue: {
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type: 'regex',
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regex: 'https://[^/]+/ml/endpoints/([a-zA-Z0-9_-]+)',
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},
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},
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],
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},
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// Simple JSON input - schema will be fetched and validated at runtime
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{
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displayName: 'Request Body',
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name: 'requestBody',
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type: 'json',
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required: true,
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default:
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'{\n "messages": [\n {\n "role": "user",\n "content": "Hello!"\n }\n ]\n}',
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placeholder: 'Request body will be validated against the endpoint schema',
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description:
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"Request body in JSON format. The node automatically detects the expected format from the endpoint's OpenAPI schema and validates your input at runtime.",
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hint: 'See your model serving endpoint for example, request body format.',
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displayOptions: {
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show: {
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resource: ['modelServing'],
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operation: ['queryEndpoint'],
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},
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},
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typeOptions: {
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rows: 10,
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},
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},
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];
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