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Add AGIone chat model #6485
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Add AGIone chat model #6485
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,23 @@ | ||
| import { INodeCredential, INodeParams } from '../src/Interface' | ||
|
|
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| class AGIoneApi implements INodeCredential { | ||
| label: string | ||
| name: string | ||
| version: number | ||
| inputs: INodeParams[] | ||
|
|
||
| constructor() { | ||
| this.label = 'AGIone API' | ||
| this.name = 'agioneApi' | ||
| this.version = 1.0 | ||
| this.inputs = [ | ||
| { | ||
| label: 'AGIone Auth Token', | ||
| name: 'agioneApiKey', | ||
| type: 'password' | ||
| } | ||
| ] | ||
| } | ||
| } | ||
|
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| module.exports = { credClass: AGIoneApi } |
198 changes: 198 additions & 0 deletions
198
packages/components/nodes/chatmodels/ChatAGIone/ChatAGIone.ts
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,198 @@ | ||
| import { BaseCache } from '@langchain/core/caches' | ||
| import { ChatOpenAI, ChatOpenAIFields } from '@langchain/openai' | ||
| import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface' | ||
| import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils' | ||
|
|
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| class ChatAGIone_ChatModels implements INode { | ||
| readonly baseURL: string = 'https://agione.pro/hyperone/xapi/api/v1' | ||
| label: string | ||
| name: string | ||
| version: number | ||
| type: string | ||
| icon: string | ||
| category: string | ||
| description: string | ||
| baseClasses: string[] | ||
| credential: INodeParams | ||
| inputs: INodeParams[] | ||
|
|
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| constructor() { | ||
| this.label = 'AGIone' | ||
| this.name = 'chatAGIone' | ||
| this.version = 1.0 | ||
| this.type = 'ChatAGIone' | ||
| this.icon = 'agione.svg' | ||
| this.category = 'Chat Models' | ||
| this.description = 'Wrapper around AGIone models that use the OpenAI-compatible Chat endpoint' | ||
| this.baseClasses = [this.type, ...getBaseClasses(ChatOpenAI)] | ||
| this.credential = { | ||
| label: 'Connect Credential', | ||
| name: 'credential', | ||
| type: 'credential', | ||
| credentialNames: ['agioneApi'] | ||
| } | ||
| this.inputs = [ | ||
| { | ||
| label: 'Cache', | ||
| name: 'cache', | ||
| type: 'BaseCache', | ||
| optional: true | ||
| }, | ||
| { | ||
| label: 'Model Name', | ||
| name: 'modelName', | ||
| type: 'string', | ||
| default: 'openai/GPT-5.5/c6fbe', | ||
| description: | ||
| 'Enter the model name (e.g., openai/GPT-5.5/c6fbe, anthropic/Claude-opus-4.7/a4d5d, deepseek/deepseek-v3.2/0000n)' | ||
| }, | ||
| { | ||
| label: 'Temperature', | ||
| name: 'temperature', | ||
| type: 'number', | ||
| step: 0.1, | ||
| default: 0.7, | ||
| optional: true | ||
| }, | ||
| { | ||
| label: 'Streaming', | ||
| name: 'streaming', | ||
| type: 'boolean', | ||
| default: true, | ||
| optional: true, | ||
| additionalParams: true | ||
| }, | ||
| { | ||
| label: 'Max Tokens', | ||
| name: 'maxTokens', | ||
| type: 'number', | ||
| step: 1, | ||
| optional: true, | ||
| additionalParams: true | ||
| }, | ||
| { | ||
| label: 'Top Probability', | ||
| name: 'topP', | ||
| type: 'number', | ||
| step: 0.1, | ||
| optional: true, | ||
| additionalParams: true | ||
| }, | ||
| { | ||
| label: 'Frequency Penalty', | ||
| name: 'frequencyPenalty', | ||
| type: 'number', | ||
| step: 0.1, | ||
| optional: true, | ||
| additionalParams: true | ||
| }, | ||
| { | ||
| label: 'Presence Penalty', | ||
| name: 'presencePenalty', | ||
| type: 'number', | ||
| step: 0.1, | ||
| optional: true, | ||
| additionalParams: true | ||
| }, | ||
| { | ||
| label: 'Base Options', | ||
| name: 'baseOptions', | ||
| type: 'json', | ||
| optional: true, | ||
| additionalParams: true, | ||
| description: 'Additional options to pass to the AGIone client. This should be a JSON object.' | ||
| } | ||
| ] | ||
| } | ||
|
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||
| async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> { | ||
| const temperature = nodeData.inputs?.temperature as string | ||
| const modelName = nodeData.inputs?.modelName as string | ||
| const maxTokens = nodeData.inputs?.maxTokens as string | ||
| const topP = nodeData.inputs?.topP as string | ||
| const frequencyPenalty = nodeData.inputs?.frequencyPenalty as string | ||
| const presencePenalty = nodeData.inputs?.presencePenalty as string | ||
| const streaming = nodeData.inputs?.streaming as boolean | ||
| const baseOptions = nodeData.inputs?.baseOptions | ||
|
|
||
| if (nodeData.inputs?.credentialId) { | ||
| nodeData.credential = nodeData.inputs?.credentialId | ||
| } | ||
| const credentialData = await getCredentialData(nodeData.credential ?? '', options) | ||
| const agioneApiKey = getCredentialParam('agioneApiKey', credentialData, nodeData) | ||
|
|
||
| if (!agioneApiKey || agioneApiKey.trim() === '') { | ||
| throw new Error( | ||
| 'AGIone Auth Token is missing or empty. Please provide a valid AGIone Auth Token in the credential configuration.' | ||
| ) | ||
| } | ||
|
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| if (!modelName || modelName.trim() === '') { | ||
| throw new Error('Model Name is required. Please enter a valid AGIone model name (e.g., openai/GPT-5.5/c6fbe).') | ||
| } | ||
|
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| const cache = nodeData.inputs?.cache as BaseCache | ||
|
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| const parseOptionalFloat = (value: unknown): number | undefined => { | ||
| if (value === undefined || value === null || value === '') return undefined | ||
| const parsedValue = typeof value === 'number' ? value : parseFloat(value as string) | ||
| return Number.isNaN(parsedValue) ? undefined : parsedValue | ||
| } | ||
|
|
||
| const parseOptionalInteger = (value: unknown): number | undefined => { | ||
| if (value === undefined || value === null || value === '') return undefined | ||
| const parsedValue = typeof value === 'number' ? value : parseInt(value as string, 10) | ||
| return Number.isNaN(parsedValue) ? undefined : parsedValue | ||
| } | ||
|
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||
| const obj: ChatOpenAIFields = { | ||
| modelName, | ||
| openAIApiKey: agioneApiKey, | ||
| apiKey: agioneApiKey, | ||
| streaming: streaming ?? true | ||
| } | ||
|
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||
| const parsedTemperature = parseOptionalFloat(temperature) | ||
| const parsedMaxTokens = parseOptionalInteger(maxTokens) | ||
| const parsedTopP = parseOptionalFloat(topP) | ||
| const parsedFrequencyPenalty = parseOptionalFloat(frequencyPenalty) | ||
| const parsedPresencePenalty = parseOptionalFloat(presencePenalty) | ||
|
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| if (parsedTemperature !== undefined) obj.temperature = parsedTemperature | ||
| if (parsedMaxTokens !== undefined) obj.maxTokens = parsedMaxTokens | ||
| if (parsedTopP !== undefined) obj.topP = parsedTopP | ||
| if (parsedFrequencyPenalty !== undefined) obj.frequencyPenalty = parsedFrequencyPenalty | ||
| if (parsedPresencePenalty !== undefined) obj.presencePenalty = parsedPresencePenalty | ||
| if (cache) obj.cache = cache | ||
|
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| let parsedBaseOptions: Record<string, unknown> | undefined = undefined | ||
|
|
||
| if (baseOptions) { | ||
| try { | ||
| const parsedOptions = typeof baseOptions === 'object' ? baseOptions : JSON.parse(baseOptions) | ||
| if (parsedOptions && typeof parsedOptions === 'object' && !Array.isArray(parsedOptions)) { | ||
| parsedBaseOptions = parsedOptions as Record<string, unknown> | ||
| if ('baseURL' in parsedBaseOptions) { | ||
| console.warn("The 'baseURL' parameter is not allowed when using the ChatAGIone node.") | ||
| parsedBaseOptions.baseURL = undefined | ||
| } | ||
| } else if (parsedOptions !== null) { | ||
| throw new Error('BaseOptions must be a JSON object') | ||
| } | ||
| } catch (exception) { | ||
| throw new Error('Invalid JSON in the BaseOptions: ' + exception) | ||
| } | ||
| } | ||
|
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| const model = new ChatOpenAI({ | ||
| ...obj, | ||
| configuration: { | ||
| baseURL: this.baseURL, | ||
| ...parsedBaseOptions | ||
| } | ||
| }) | ||
| return model | ||
| } | ||
| } | ||
|
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| module.exports = { nodeClass: ChatAGIone_ChatModels } | ||
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Parsing optional numeric inputs directly with
parseFloatorparseIntwithout checking if they are defined or empty can result inNaNvalues being passed to theChatOpenAIconstructor, which can cause runtime errors or API validation failures. Additionally, using simple truthiness checks likeif (frequencyPenalty)will incorrectly ignore valid0values. Using a nullish check (!= null) ensures that0is correctly preserved while safely ignoring empty or undefined values.References
== null) as a standard idiom for a 'nullish' check that covers bothnullandundefined.