@promptbook/vercel/esm/typings/src/commitments/MODEL/MODEL.d.ts

Promptbook: Turn your company's scattered knowledge into AI ready books

import type { AgentModelRequirements } from '../../book-2.0/agent-source/AgentModelRequirements';
import { BaseCommitmentDefinition } from '../_base/BaseCommitmentDefinition';
/**
 * MODEL commitment definition
 *
 * The MODEL commitment specifies which AI model to use and can also set
 * model-specific parameters like temperature, topP, topK, and maxTokens.
 *
 * Supports multiple syntax variations:
 *
 * Single-line format:
 * ```book
 * MODEL gpt-4
 * MODEL claude-3-opus temperature=0.3
 * MODEL gpt-3.5-turbo temperature=0.8 topP=0.9
 * ```
 *
 * Multi-line named parameter format:
 * ```book
 * MODEL NAME gpt-4
 * MODEL TEMPERATURE 0.7
 * MODEL TOP_P 0.9
 * MODEL MAX_TOKENS 2048
 * ```
 *
 * @private [🪔] Maybe export the commitments through some package
 */
export declare class ModelCommitmentDefinition extends BaseCommitmentDefinition<'MODEL' | 'MODELS'> {
    constructor(type?: 'MODEL' | 'MODELS');
    /**
     * Short one-line description of MODEL.
     */
    get description(): string;
    /**
     * Markdown documentation for MODEL commitment.
     */
    get documentation(): string;
    applyToAgentModelRequirements(requirements: AgentModelRequirements, content: string): AgentModelRequirements;
    /**
     * Check if the first part is a known named parameter
     */
    private isNamedParameter;
    /**
     * Parse the new named parameter format: "MODEL TEMPERATURE 0.7"
     */
    private parseNamedParameter;
    /**
     * Parse the legacy format: "MODEL gpt-4 temperature=0.3 topP=0.9"
     */
    private parseLegacyFormat;
}
/**
 * Note: [💞] Ignore a discrepancy between file name and entity name
 */