mirror of
https://github.com/n8n-io/n8n-nodes-starter.git
synced 2025-11-10 18:47:29 -06:00
fix linting issues and rename files for clarity
This commit is contained in:
dledoux
parent
c3c675ff33
commit
d618deafa3
8 changed files with 529 additions and 213 deletions
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Before Width: | Height: | Size: 5.7 KiB After Width: | Height: | Size: 5.7 KiB |
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Before Width: | Height: | Size: 2.7 KiB After Width: | Height: | Size: 2.7 KiB |
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@ -21,7 +21,7 @@ export class ServerlessInference implements INodeType {
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outputs: [NodeConnectionType.Main],
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credentials: [
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{
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name: 'digitalOceanServerlessInference',
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name: 'digitalOceanServerlessInferenceApi',
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required: true,
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},
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],
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@ -17,7 +17,7 @@ export const textOperations: INodeProperties[] = [
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{
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name: 'Complete',
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value: 'complete',
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action: 'Create a Text Completion',
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action: 'Create a text completion',
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description: 'Create one or more completions for a given text',
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routing: {
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request: {
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@ -37,8 +37,7 @@ const completeOperations: INodeProperties[] = [
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displayName: 'Model',
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name: 'model',
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type: 'options',
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description:
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'The model which will generate the completion. <a href="https://docs.digitalocean.com/products/gradient-ai-platform/details/models/">Learn more</a>',
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description: 'The model which will generate the completion. <a href="https://docs.digitalocean.com/products/gradient-ai-platform/details/models/">Learn more</a>.',
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displayOptions: {
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show: {
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operation: ['complete'],
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@ -84,7 +83,7 @@ const completeOperations: INodeProperties[] = [
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property: 'model',
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},
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},
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default: 'openai-gpt-oss-120b',
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default: '',
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},
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{
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displayName: 'Input Type',
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@ -230,6 +229,69 @@ const sharedOperations: INodeProperties[] = [
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},
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},
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options: [
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{
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displayName: 'Frequency Penalty',
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name: 'frequencyPenalty',
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description: 'Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far.',
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type: 'number',
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default: undefined,
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typeOptions: {
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maxValue: 2,
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minValue: -2,
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numberPrecision: 2,
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},
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routing: {
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send: {
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type: 'body',
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property: 'frequency_penalty',
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},
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},
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},
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{
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displayName: 'Logit Bias',
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name: 'logitBias',
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description: 'Modify the likelihood of specified tokens appearing in the completion (JSON object mapping token IDs to bias values)',
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type: 'string',
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default: '',
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placeholder: '{"50256": -100}',
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routing: {
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send: {
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type: 'body',
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property: 'logit_bias',
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value: '={{$parameter.logitBias ? JSON.parse($parameter.logitBias) : undefined}}',
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},
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},
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},
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{
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displayName: 'Logprobs',
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name: 'logprobs',
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description: 'Whether to return log probabilities of the output tokens',
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type: 'boolean',
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default: false,
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routing: {
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send: {
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type: 'body',
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property: 'logprobs',
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},
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},
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},
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{
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displayName: 'Max Completion Tokens',
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name: 'maxCompletionTokens',
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description:
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'The maximum number of tokens that can be generated in the chat completion. This value can be used to control costs for text generated via API.',
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type: 'number',
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default: undefined,
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typeOptions: {
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minValue: 1,
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},
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routing: {
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send: {
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type: 'body',
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property: 'max_completion_tokens',
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},
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},
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},
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{
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displayName: 'Maximum Number of Tokens',
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name: 'maxTokens',
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@ -254,53 +316,17 @@ const sharedOperations: INodeProperties[] = [
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},
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},
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{
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displayName: 'Max Completion Tokens',
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name: 'maxCompletionTokens',
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description:
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'The maximum number of tokens that can be generated in the chat completion. This value can be used to control costs for text generated via API.',
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type: 'number',
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default: undefined,
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typeOptions: {
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minValue: 1,
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},
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displayName: 'Metadata',
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name: 'metadata',
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description: 'Developer-defined metadata to attach to the completion (JSON object)',
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type: 'string',
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default: '',
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placeholder: '{"purpose": "testing"}',
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routing: {
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send: {
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type: 'body',
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property: 'max_completion_tokens',
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},
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},
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},
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{
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displayName: 'Temperature',
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name: 'temperature',
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default: 0.7,
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typeOptions: { maxValue: 2, minValue: 0, numberPrecision: 2 },
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description:
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'Controls randomness: Lowering results in less random completions. As the temperature approaches zero, the model will become deterministic and repetitive.',
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type: 'number',
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routing: {
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send: {
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type: 'body',
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property: 'temperature',
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},
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},
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},
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{
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displayName: 'Top P',
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name: 'topP',
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description:
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'An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass.',
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type: 'number',
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default: undefined,
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typeOptions: {
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maxValue: 1,
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minValue: 0,
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numberPrecision: 3,
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},
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routing: {
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send: {
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type: 'body',
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property: 'top_p',
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property: 'metadata',
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value: '={{$parameter.metadata ? JSON.parse($parameter.metadata) : undefined}}',
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},
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},
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},
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@ -321,10 +347,43 @@ const sharedOperations: INodeProperties[] = [
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},
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},
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},
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{
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displayName: 'Presence Penalty',
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name: 'presencePenalty',
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description: 'Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far.',
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type: 'number',
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default: undefined,
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typeOptions: {
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maxValue: 2,
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minValue: -2,
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numberPrecision: 2,
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},
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routing: {
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send: {
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type: 'body',
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property: 'presence_penalty',
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},
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},
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},
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{
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displayName: 'Stop Sequences',
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name: 'stop',
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description: 'Up to 4 sequences where the API will stop generating further tokens',
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type: 'string',
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default: '',
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placeholder: 'e.g. \\n, Human:, AI:',
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routing: {
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send: {
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type: 'body',
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property: 'stop',
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value: '={{$parameter.stop ? $parameter.stop.split(",").map(s => s.trim()) : undefined}}',
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},
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},
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},
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{
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displayName: 'Stream',
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name: 'stream',
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description: 'If set, partial message deltas will be sent, like in ChatGPT',
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description: 'Whether partial message deltas will be sent, like in ChatGPT',
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type: 'boolean',
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default: false,
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routing: {
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@ -349,7 +408,7 @@ const sharedOperations: INodeProperties[] = [
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{
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displayName: 'Include Usage',
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name: 'includeUsage',
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description: 'If set, an additional chunk will be streamed before the data: [DONE] message',
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description: 'Whether to include an additional chunk before the data: [DONE] message',
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type: 'boolean',
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default: false,
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},
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@ -363,133 +422,71 @@ const sharedOperations: INodeProperties[] = [
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},
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},
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{
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displayName: 'Stop Sequences',
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name: 'stop',
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description: 'Up to 4 sequences where the API will stop generating further tokens',
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displayName: 'Temperature',
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name: 'temperature',
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default: 0.7,
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typeOptions: { maxValue: 2, minValue: 0, numberPrecision: 2 },
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description:
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'Controls randomness: Lowering results in less random completions. As the temperature approaches zero, the model will become deterministic and repetitive.',
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type: 'number',
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routing: {
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send: {
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type: 'body',
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property: 'temperature',
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},
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},
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},
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{
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displayName: 'Tool Choice',
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name: 'toolChoice',
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description: 'Controls which (if any) tool is called by the model',
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type: 'options',
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options: [
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{
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name: 'Auto',
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value: 'auto',
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description: 'The model can pick between generating a message or calling one or more tools',
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},
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{
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name: 'None',
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value: 'none',
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description: 'The model will not call any tool and instead generates a message',
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},
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{
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name: 'Required',
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value: 'required',
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description: 'The model must call one or more tools',
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},
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{
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name: 'Function',
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value: 'function',
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description: 'Specifies a particular tool via {"type": "function", "function": {"name": "my_function"}}',
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},
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],
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default: 'auto',
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routing: {
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send: {
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type: 'body',
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property: 'tool_choice',
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},
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},
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},
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{
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displayName: 'Tool Choice Function Name',
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name: 'toolChoiceFunctionName',
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description: 'The name of the function to call when tool choice is set to function',
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type: 'string',
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default: '',
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placeholder: 'e.g. \\n, Human:, AI:',
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routing: {
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send: {
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type: 'body',
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property: 'stop',
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value: '={{$parameter.stop ? $parameter.stop.split(",").map(s => s.trim()) : undefined}}',
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},
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},
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},
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{
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displayName: 'Presence Penalty',
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name: 'presencePenalty',
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description:
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'Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far',
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type: 'number',
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default: undefined,
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typeOptions: {
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maxValue: 2,
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minValue: -2,
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numberPrecision: 2,
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},
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routing: {
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send: {
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type: 'body',
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property: 'presence_penalty',
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},
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},
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},
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{
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displayName: 'Frequency Penalty',
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name: 'frequencyPenalty',
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description:
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'Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far',
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type: 'number',
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default: undefined,
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typeOptions: {
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maxValue: 2,
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minValue: -2,
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numberPrecision: 2,
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},
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routing: {
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send: {
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type: 'body',
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property: 'frequency_penalty',
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},
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},
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},
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{
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displayName: 'Logprobs',
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name: 'logprobs',
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description: 'Whether to return log probabilities of the output tokens',
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type: 'boolean',
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default: false,
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routing: {
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send: {
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type: 'body',
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property: 'logprobs',
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},
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},
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},
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{
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displayName: 'Top Logprobs',
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name: 'topLogprobs',
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description: 'An integer between 0 and 20 specifying the number of most likely tokens to return at each token position',
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type: 'number',
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default: undefined,
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displayOptions: {
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show: {
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logprobs: [true],
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toolChoice: ['function'],
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},
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},
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typeOptions: {
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minValue: 0,
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maxValue: 20,
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},
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routing: {
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send: {
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type: 'body',
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property: 'top_logprobs',
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},
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},
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},
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{
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displayName: 'User Identifier',
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name: 'user',
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description: 'A unique identifier representing your end-user, which can help monitor and detect abuse',
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type: 'string',
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default: '',
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routing: {
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send: {
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type: 'body',
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property: 'user',
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},
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},
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},
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{
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displayName: 'Logit Bias',
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name: 'logitBias',
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description: 'Modify the likelihood of specified tokens appearing in the completion (JSON object mapping token IDs to bias values)',
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type: 'string',
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default: '',
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placeholder: '{"50256": -100}',
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routing: {
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send: {
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type: 'body',
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property: 'logit_bias',
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value: '={{$parameter.logitBias ? JSON.parse($parameter.logitBias) : undefined}}',
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},
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},
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},
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{
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displayName: 'Metadata',
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name: 'metadata',
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description: 'Developer-defined metadata to attach to the completion (JSON object)',
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type: 'string',
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default: '',
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placeholder: '{"purpose": "testing"}',
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routing: {
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send: {
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type: 'body',
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property: 'metadata',
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value: '={{$parameter.metadata ? JSON.parse($parameter.metadata) : undefined}}',
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property: 'tool_choice',
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value: '={{"type": "function", "function": {"name": $parameter.toolChoiceFunctionName}}}',
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},
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},
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},
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@ -553,56 +550,55 @@ const sharedOperations: INodeProperties[] = [
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},
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},
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{
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displayName: 'Tool Choice',
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name: 'toolChoice',
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description: 'Controls which (if any) tool is called by the model',
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type: 'options',
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options: [
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{
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name: 'Auto',
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value: 'auto',
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description: 'The model can pick between generating a message or calling one or more tools',
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displayName: 'Top Logprobs',
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name: 'topLogprobs',
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description: 'An integer between 0 and 20 specifying the number of most likely tokens to return at each token position',
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type: 'number',
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default: undefined,
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displayOptions: {
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show: {
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logprobs: [true],
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},
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{
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name: 'None',
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value: 'none',
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description: 'The model will not call any tool and instead generates a message',
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},
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{
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name: 'Required',
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value: 'required',
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description: 'The model must call one or more tools',
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},
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{
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name: 'Function',
|
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value: 'function',
|
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description: 'Specifies a particular tool via {"type": "function", "function": {"name": "my_function"}}',
|
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},
|
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],
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default: 'auto',
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},
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typeOptions: {
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minValue: 0,
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maxValue: 20,
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},
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routing: {
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send: {
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type: 'body',
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property: 'tool_choice',
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property: 'top_logprobs',
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},
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},
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},
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{
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displayName: 'Tool Choice Function Name',
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name: 'toolChoiceFunctionName',
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description: 'The name of the function to call when tool choice is set to function',
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type: 'string',
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default: '',
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displayOptions: {
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show: {
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toolChoice: ['function'],
|
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},
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displayName: 'Top P',
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name: 'topP',
|
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description: 'An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass',
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type: 'number',
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default: undefined,
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typeOptions: {
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maxValue: 1,
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minValue: 0,
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numberPrecision: 3,
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},
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routing: {
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send: {
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type: 'body',
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property: 'tool_choice',
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value: '={{"type": "function", "function": {"name": $parameter.toolChoiceFunctionName}}}',
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property: 'top_p',
|
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},
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},
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},
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{
|
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displayName: 'User Identifier',
|
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name: 'user',
|
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description: 'A unique identifier representing your end-user, which can help monitor and detect abuse',
|
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type: 'string',
|
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default: '',
|
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routing: {
|
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send: {
|
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type: 'body',
|
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property: 'user',
|
||||
},
|
||||
},
|
||||
},
|
||||
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