/**
 * Azure OpenAI Chat Model Node - Version 1
 * For advanced usage with an AI chain
 */


export interface LcLmChatAzureOpenAiV1Params {
  authentication?: 'azureOpenAiApi' | 'azureEntraCognitiveServicesOAuth2Api' | Expression<string>;
/**
 * The name of the model(deployment) to use (e.g., gpt-4, gpt-35-turbo)
 */
    model: string | Expression<string>;
/**
 * Additional options to add
 * @default {}
 */
    options?: {
    /** Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim
     * @default 0
     */
    frequencyPenalty?: number | Expression<number>;
    /** The maximum number of tokens to generate in the completion. Most models have a context length of 2048 tokens (except for the newest models, which support 32,768). Use -1 for default.
     * @default -1
     */
    maxTokens?: number | Expression<number>;
    /** Response Format
     * @default text
     */
    responseFormat?: 'text' | 'json_object' | Expression<string>;
    /** Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics
     * @default 0
     */
    presencePenalty?: number | Expression<number>;
    /** Controls randomness: Lowering results in less random completions. As the temperature approaches zero, the model will become deterministic and repetitive.
     * @default 0.7
     */
    temperature?: number | Expression<number>;
    /** Maximum amount of time a request is allowed to take in milliseconds
     * @default 60000
     */
    timeout?: number | Expression<number>;
    /** Maximum number of retries to attempt on failure
     * @default 2
     */
    maxRetries?: number | Expression<number>;
    /** Controls diversity via nucleus sampling: 0.5 means half of all likelihood-weighted options are considered. We generally recommend altering this or temperature but not both.
     * @default 1
     */
    topP?: number | Expression<number>;
  };
}

export interface LcLmChatAzureOpenAiV1Credentials {
  azureOpenAiApi: CredentialReference;
  azureEntraCognitiveServicesOAuth2Api: CredentialReference;
}

interface LcLmChatAzureOpenAiV1NodeBase {
  type: '@n8n/n8n-nodes-langchain.lmChatAzureOpenAi';
  version: 1;
  credentials?: LcLmChatAzureOpenAiV1Credentials;
}

export type LcLmChatAzureOpenAiV1ParamsNode = LcLmChatAzureOpenAiV1NodeBase & {
  config: NodeConfig<LcLmChatAzureOpenAiV1Params>;
};

export type LcLmChatAzureOpenAiV1Node = LcLmChatAzureOpenAiV1ParamsNode;