@n8n/n8n-nodes-langchain
Version:
71 lines (66 loc) • 1.98 kB
text/typescript
/**
* Alibaba Cloud Model Studio Node - Version 1
* Discriminator: resource=image, operation=analyze
*/
interface Credentials {
alibabaCloudApi: CredentialReference;
}
/** Take in images and answer questions about them */
export type LcAlibabaCloudV1ImageAnalyzeParams = {
resource: 'image';
operation: 'analyze';
/**
* The model to use for image analysis
* @default qwen3-vl-flash
*/
modelId?: 'qwen3-vl-flash' | 'qwen3-vl-plus' | Expression<string>;
/**
* How to provide the image for analysis
* @default url
*/
inputType?: 'url' | 'binary' | Expression<string>;
/**
* The URL of the image to analyze
* @displayOptions.show { inputType: ["url"] }
*/
imageUrl: string | Expression<string> | PlaceholderValue;
/**
* Input Data Field Name
* @hint The name of the input field containing the binary file data to be processed
* @displayOptions.show { inputType: ["binary"] }
* @default data
*/
binaryPropertyName?: string | Expression<string> | PlaceholderValue;
/**
* The question or instruction about the image
*/
question: string | Expression<string> | PlaceholderValue;
/**
* Whether to return a simplified version of the response instead of the raw data
* @default true
*/
simplify?: boolean | Expression<boolean>;
/**
* Options
* @default {}
*/
visionOptions?: {
/** Controls randomness in the output. Lower values make output more focused and deterministic.
* @default 1
*/
temperature?: number | Expression<number>;
/** Maximum number of tokens to generate
* @default 2000
*/
maxTokens?: number | Expression<number>;
};
};
export interface LcAlibabaCloudV1ImageAnalyzeSubnodeConfig {
tools?: ToolInstance[];
}
export type LcAlibabaCloudV1ImageAnalyzeNode = {
type: '@n8n/n8n-nodes-langchain.alibabaCloud';
version: 1;
credentials?: Credentials;
config: NodeConfig<LcAlibabaCloudV1ImageAnalyzeParams> & { subnodes?: LcAlibabaCloudV1ImageAnalyzeSubnodeConfig };
};