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types.ts
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180 lines (169 loc) · 4.29 KB
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// Core types for the application
export interface Provider {
id: string;
providerId: string;
config?: Record<string, any>;
}
export interface Prompt {
id: string;
label: string;
text: string;
}
export interface DatasetRow {
[key: string]: any;
}
export interface Dataset {
name: string;
rows: DatasetRow[];
headers?: string[]; // Column headers (preserved even when rows are empty)
csvPath?: string; // Path to CSV file (used when CSV is imported)
}
export type AssertionType =
| 'equals'
| 'contains'
| 'regex'
| 'llm-rubric'
| 'context-relevance'
| 'factuality'
| 'javascript'
| 'python'
| 'is-json'
| 'contains-json'
| 'cost'
| 'latency'
| 'perplexity'
| 'perplexity-score'
| 'security-prompt-injection'
| 'security-xss'
| 'security-sql-injection'
| 'security-path-traversal'
| 'security-unicode-attack'
| 'security-prompt-disclosure'
| 'security-pii'
| 'security-dos';
export interface Assertion {
id: string;
type: AssertionType | string;
value?: string | number | object;
threshold?: number;
metric?: string;
rubric?: string;
provider?: string;
weight?: number;
transform?: string;
// Context Relevance specific fields
queryColumn?: string; // Column name for query/question
contextColumn?: string; // Column name for context/document
}
export interface ProjectOptions {
outputPath?: string;
jsonOutputPath?: string;
maxConcurrency?: number;
sharing?: boolean | { apiBaseUrl?: string; appBaseUrl?: string };
cache?: boolean;
openReportAfterTest?: boolean;
debugMode?: boolean;
aiModel?: string; // AI model for generating assertions, datasets, and analysis
datasetRowCount?: number; // Number of rows to generate for AI dataset generation
// Security testing
enableSecurityTests?: boolean; // Enable separate security testing YAML
securityGraderModel?: string; // AI model for grading security test results (llm-rubric assertions)
selectedSecurityTests?: string[]; // Selected OWASP LLM tests to run (e.g., ['LLM01', 'LLM02'])
// AI Prompts - Customizable system prompts for AI generation features
aiPromptAnalysis?: string; // System prompt for AI analysis of test results
aiPromptAssertionGeneration?: string; // System prompt for generating assertions
aiPromptDatasetGeneration?: string; // System prompt for generating datasets
aiPromptColumnGeneration?: string; // System prompt for generating dataset columns
aiPromptRowGeneration?: string; // System prompt for generating dataset rows
aiPromptReferenceAnswer?: string; // System prompt for generating reference answers
}
export interface Project {
name: string;
providers: Provider[];
prompts: Prompt[];
dataset?: Dataset;
assertions: Assertion[];
options?: ProjectOptions;
}
export interface TestResult {
pass: boolean;
score: number;
reason: string;
assertion: any;
}
export interface EvalResult {
prompt: {
raw: string;
label: string;
};
vars: Record<string, any>;
response: {
output: string;
tokenUsage?: {
total: number;
prompt: number;
completion: number;
};
};
success: boolean;
score: number;
latencyMs: number;
gradingResult: {
pass: boolean;
score: number;
reason: string;
componentResults: TestResult[];
};
}
export interface PromptfooResults {
version: number;
results: {
table: {
head: {
prompts: Array<{ raw: string; label: string; provider: string }>;
vars: string[];
};
body: Array<{
outputs: Array<{
pass: boolean;
score: number;
text: string;
prompt: string;
latencyMs: number;
cost: number;
gradingResult?: any;
}>;
vars: string[];
test: any;
}>;
};
stats: {
successes: number;
failures: number;
tokenUsage: {
total: number;
prompt: number;
completion: number;
};
};
};
config: {
description?: string;
};
timestamp: string;
}
export interface HistoryItem {
id: string;
projectName: string;
timestamp: string;
results: PromptfooResults;
project?: Project; // Save project config for reference
stats: {
totalTests: number;
passed: number;
failed: number;
avgScore: number;
totalCost: number;
totalLatency: number;
};
}