diff --git a/AGENTS.md b/AGENTS.md index 498d58da..3cc54b52 100644 --- a/AGENTS.md +++ b/AGENTS.md @@ -42,7 +42,6 @@ This file provides instructions for AI agents working in this repository. ## Running the application - **CLI**: `uv run python -m rogue` -- **UI**: `uv run gradio rogue/ui/app.py` - **With Example Agent**: `uv run rogue-ai --example=tshirt_store` (starts rogue with the t-shirt store example agent running on port 10001) ## Running the examples diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index a91abca6..2403e661 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -146,9 +146,6 @@ uv run python -m rogue # Run server only uv run python -m rogue server -# Run web UI -uv run python -m rogue ui - # Run CLI uv run python -m rogue cli @@ -282,7 +279,6 @@ uv lock --check - `rogue/`: Main Python package - `server/`: Backend server and API - - `ui/`: Gradio web interface - `common/`: Shared utilities - `evaluator_agent/`: Evaluator agent implementation - `prompt_injection_evaluator/`: Prompt injection testing diff --git a/README.md b/README.md index 7404dbfe..49efd347 100644 --- a/README.md +++ b/README.md @@ -61,7 +61,6 @@ Rogue operates on a **client-server architecture** with multiple interfaces: |-----------|-------------| | **Server** | Core evaluation & red team logic | | **TUI** | Modern terminal interface (Go + Bubble Tea) | -| **Web UI** | Gradio-based web interface | | **CLI** | Non-interactive mode for CI/CD pipelines | https://github.com/user-attachments/assets/b5c04772-6916-4aab-825b-6a7476d77787 @@ -91,9 +90,6 @@ See examples in [`examples/`](./examples/) for reference implementations. # TUI (recommended) uvx rogue-ai -# Web UI -uvx rogue-ai ui - # CLI / CI/CD uvx rogue-ai cli ``` @@ -118,7 +114,6 @@ Configure in the UI: | Default | `uvx rogue-ai` | Server + TUI | | Server | `uvx rogue-ai server` | Backend only | | TUI | `uvx rogue-ai tui` | Terminal client | -| Web UI | `uvx rogue-ai ui` | Gradio interface | | CLI | `uvx rogue-ai cli` | Non-interactive (CI/CD) | ### Server Options diff --git a/packages/sdk/README.md b/packages/sdk/README.md deleted file mode 100644 index f3ed4a59..00000000 --- a/packages/sdk/README.md +++ /dev/null @@ -1,285 +0,0 @@ -# Rogue Agent Evaluator TypeScript SDK - -A modern, functional TypeScript SDK for interacting with the Rogue Agent Evaluator API. - -## Installation - -```bash -npm install @rogue/sdk -# or -yarn add @rogue/sdk -``` - -## Quick Start - -```typescript -import { createRogueClient } from '@rogue/sdk'; - -const client = createRogueClient({ - baseUrl: 'http://localhost:8000' -}); - -// Quick evaluation -const result = await client.quickEvaluate( - 'http://localhost:3000', - ['The agent should be polite', 'The agent should not give discounts'] -); - -console.log(`Evaluation completed: ${result.status}`); -console.log(`Results: ${result.results?.length} scenarios evaluated`); -``` - -## Why Functional? - -This SDK uses a functional approach instead of classes because it's more idiomatic TypeScript: - -- ✅ **No `this` binding issues** - destructuring works perfectly -- ✅ **Better tree-shaking** - import only what you need -- ✅ **Easier testing** - mock individual functions -- ✅ **More composable** - easy to extend and combine -- ✅ **Modern TypeScript** - follows current best practices - -## API Styles - -### 1. Factory Function (Recommended) - -```typescript -import { createRogueClient } from '@rogue/sdk'; - -const client = createRogueClient({ baseUrl: 'http://localhost:8000' }); - -// All methods available, state maintained -await client.health(); -await client.createEvaluation(request); - -// Destructuring works perfectly - no `this` issues! -const { quickEvaluate, createEvaluation } = client; -await quickEvaluate(agentUrl, scenarios); -``` - -### 2. Pure Functions - -```typescript -import { quickEvaluate, createEvaluation, getEvaluation } from '@rogue/sdk'; - -const config = { baseUrl: 'http://localhost:8000' }; - -// Each function is independent -await quickEvaluate(config, agentUrl, scenarios); -await createEvaluation(config, request); -await getEvaluation(config, jobId); - -// Perfect for functional programming -const results = await Promise.all([ - quickEvaluate(config, url1, scenarios1), - quickEvaluate(config, url2, scenarios2), -]); -``` - -## Configuration - -```typescript -import { createRogueClient, type RogueClientConfig } from '@rogue/sdk'; - -const config: RogueClientConfig = { - baseUrl: 'http://localhost:8000', - apiKey: 'your-api-key', // Optional - timeout: 30000, // Request timeout in milliseconds - retries: 3 // Number of retry attempts -}; - -const client = createRogueClient(config); -``` - -## Core Operations - -### Health Check - -```typescript -const health = await client.health(); -console.log(`Server status: ${health.status}`); -``` - -### Create Evaluation - -```typescript -import { AgentConfig, Scenario, AuthType, ScenarioType } from '@rogue/sdk'; - -const agentConfig: AgentConfig = { - evaluated_agent_url: 'http://localhost:3000', - evaluated_agent_auth_type: AuthType.NO_AUTH, - judge_llm: 'openai/gpt-4o-mini', - interview_mode: true, - deep_test_mode: false, - parallel_runs: 1 -}; - -const scenarios: Scenario[] = [ - { - scenario: 'The agent should be polite', - scenario_type: ScenarioType.POLICY, - expected_outcome: 'Agent responds politely' - } -]; - -const request = { - agent_config: agentConfig, - scenarios: scenarios, - max_retries: 3, - timeout_seconds: 300 -}; - -const response = await client.createEvaluation(request); -console.log(`Evaluation started: ${response.job_id}`); -``` - -## Real-time Updates - -```typescript -const result = await client.runEvaluationWithUpdates( - request, - (job) => { - console.log(`Progress: ${(job.progress * 100).toFixed(1)}% - Status: ${job.status}`); - }, - (chatData) => { - console.log(`${chatData.role}: ${chatData.content}`); - } -); - -console.log(`Final result: ${result.status}`); -``` - -## Advanced Examples - -### React Hook - -```typescript -import { useState, useCallback } from 'react'; -import { createRogueClient, type RogueClientConfig } from '@rogue/sdk'; - -function useRogueEvaluation(config: RogueClientConfig) { - const [client] = useState(() => createRogueClient(config)); - const [isEvaluating, setIsEvaluating] = useState(false); - const [progress, setProgress] = useState(0); - - const evaluate = useCallback( - async (agentUrl: string, scenarios: string[]) => { - setIsEvaluating(true); - setProgress(0); - - try { - return await client.runEvaluationWithUpdates( - { - agent_config: { - evaluated_agent_url: agentUrl, - evaluated_agent_auth_type: 'no_auth', - judge_llm: 'openai/gpt-4o-mini' - }, - scenarios: scenarios.map(s => ({ scenario: s, scenario_type: 'policy' })) - }, - (job) => setProgress(job.progress) - ); - } finally { - setIsEvaluating(false); - } - }, - [client] - ); - - return { evaluate, isEvaluating, progress }; -} -``` - -### Express.js Route Handler - -```typescript -import express from 'express'; -import { quickEvaluate, type RogueClientConfig } from '@rogue/sdk'; - -const app = express(); -const config: RogueClientConfig = { baseUrl: process.env.ROGUE_URL! }; - -app.post('/evaluate', async (req, res) => { - try { - const { agentUrl, scenarios } = req.body; - - // Clean, functional approach - const result = await quickEvaluate(config, agentUrl, scenarios); - - res.json({ - success: true, - jobId: result.job_id, - status: result.status, - results: result.results - }); - } catch (error) { - res.status(500).json({ - success: false, - error: error.message - }); - } -}); -``` - -### Composition and Extension - -```typescript -// Easy to compose and extend -function createEnhancedClient(config: RogueClientConfig) { - const baseClient = createRogueClient(config); - - return { - ...baseClient, - - // Add retry logic - async quickEvaluateWithRetry(agentUrl: string, scenarios: string[], retries = 3) { - for (let i = 0; i < retries; i++) { - try { - return await baseClient.quickEvaluate(agentUrl, scenarios); - } catch (error) { - if (i === retries - 1) throw error; - await new Promise(resolve => setTimeout(resolve, 1000 * (i + 1))); - } - } - }, - - // Add logging - async createEvaluationWithLogging(request: EvaluationRequest) { - console.log('Creating evaluation:', request.agent_config.evaluated_agent_url); - const result = await baseClient.createEvaluation(request); - console.log('Evaluation created:', result.job_id); - return result; - } - }; -} -``` - -## Testing - -The functional approach makes testing much easier: - -```typescript -import { quickEvaluate } from '@rogue/sdk'; - -// Mock individual functions -jest.mock('@rogue/sdk', () => ({ - quickEvaluate: jest.fn(), -})); - -const mockQuickEvaluate = quickEvaluate as jest.MockedFunction; - -test('should evaluate agent', async () => { - mockQuickEvaluate.mockResolvedValue({ - job_id: 'test-job', - status: 'completed', - results: [] - }); - - const result = await quickEvaluate(config, agentUrl, scenarios); - expect(result.status).toBe('completed'); -}); -``` - -## License - -MIT License - see LICENSE file for details. diff --git a/packages/sdk/package-lock.json b/packages/sdk/package-lock.json deleted file mode 100644 index 822bba9e..00000000 --- a/packages/sdk/package-lock.json +++ /dev/null @@ -1,5049 +0,0 @@ -{ - "name": "@rogue/sdk", - "version": "1.0.0", - "lockfileVersion": 3, - "requires": true, - "packages": { - "": { - "name": "@rogue/sdk", - "version": "1.0.0", - "license": "MIT", - "dependencies": { - "ws": "^8.14.0" - }, - "devDependencies": { - "@types/node": "^20.0.0", - "@types/ws": "^8.5.0", - "@typescript-eslint/eslint-plugin": "^6.0.0", - "@typescript-eslint/parser": "^6.0.0", - "eslint": "^8.0.0", - "jest": "^29.0.0", - "prettier": "^3.0.0", - "typescript": "^5.9.2" - }, - "engines": { - "node": ">=16.0.0" - } - }, - "node_modules/@ampproject/remapping": { - "version": "2.3.0", - "resolved": "https://registry.npmjs.org/@ampproject/remapping/-/remapping-2.3.0.tgz", - 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"name": "@rogue/sdk", - "version": "1.0.0", - "description": "TypeScript SDK for Rogue Agent Evaluator", - "main": "dist/index.js", - "types": "dist/index.d.ts", - "files": [ - "dist/**/*" - ], - "scripts": { - "build": "tsc", - "build:watch": "tsc --watch", - "clean": "rm -rf dist", - "build:runner": "tsc -p tsconfig.json", - "runner:dev": "ts-node --transpile-only src/scripts/eval-runner.ts", - "prepublishOnly": "npm run clean && npm run build", - "test": "jest", - "lint": "eslint src/**/*.ts", - "format": "prettier --write src/**/*.ts" - }, - "keywords": [ - "rogue", - "agent", - "evaluator", - "sdk", - "typescript" - ], - "author": "Qualifire", - "license": "Qualifire OSS License", - "devDependencies": { - "@types/node": "^20.0.0", - "@types/ws": "^8.5.0", - "@typescript-eslint/eslint-plugin": "^6.0.0", - "@typescript-eslint/parser": "^6.0.0", - "eslint": "^8.0.0", - "jest": "^29.0.0", - "prettier": "^3.0.0", - "typescript": "^5.9.2" - }, - "dependencies": { - "ws": "^8.14.0" - }, - "engines": { - "node": ">=16.0.0" - }, - "repository": { - "type": "git", - "url": "https://github.com/qualifire/rogue-agent-evaluator" - }, - "bugs": { - "url": "https://github.com/qualifire/rogue-agent-evaluator/issues" - }, - "homepage": "https://github.com/qualifire/rogue-agent-evaluator#readme" -} diff --git a/packages/sdk/src/client.ts b/packages/sdk/src/client.ts deleted file mode 100644 index c8194bf6..00000000 --- a/packages/sdk/src/client.ts +++ /dev/null @@ -1,157 +0,0 @@ -/** - * HTTP Client for Rogue Agent Evaluator API - */ - -import { - RogueClientConfig, - EvaluationRequest, - EvaluationResponse, - EvaluationJob, - JobListResponse, - HealthResponse, - EvaluationStatus -} from './types'; - -export class RogueHttpClient { - private baseUrl: string; - private apiKey?: string; - private timeout: number; - private retries: number; - - constructor(config: RogueClientConfig) { - this.baseUrl = config.baseUrl.replace(/\/$/, ''); // Remove trailing slash - this.apiKey = config.apiKey; - this.timeout = config.timeout || 30000; // 30 seconds default - this.retries = config.retries || 3; - } - - /** - * Make HTTP request with retry logic - */ - private async request( - endpoint: string, - options: RequestInit = {} - ): Promise { - const url = `${this.baseUrl}${endpoint}`; - - const headers: Record = { - 'Content-Type': 'application/json', - ...((options.headers as Record) || {}) - }; - - if (this.apiKey) { - headers['Authorization'] = `Bearer ${this.apiKey}`; - } - - const requestOptions: RequestInit = { - ...options, - headers, - signal: AbortSignal.timeout(this.timeout) - }; - - let lastError: Error; - - for (let attempt = 1; attempt <= this.retries; attempt++) { - try { - const response = await fetch(url, requestOptions); - - if (!response.ok) { - const errorText = await response.text(); - throw new Error(`HTTP ${response.status}: ${errorText}`); - } - - const data = await response.json(); - return data as T; - } catch (error) { - lastError = error as Error; - - if (attempt === this.retries) { - break; - } - - // Exponential backoff - const delay = Math.pow(2, attempt - 1) * 1000; - await new Promise(resolve => setTimeout(resolve, delay)); - } - } - - throw new Error(`Request failed after ${this.retries} attempts: ${lastError.message}`); - } - - /** - * Check server health - */ - async health(): Promise { - return this.request('/api/v1/health'); - } - - /** - * Create a new evaluation job - */ - async createEvaluation(request: EvaluationRequest): Promise { - return this.request('/api/v1/evaluations', { - method: 'POST', - body: JSON.stringify(request) - }); - } - - /** - * Get evaluation job by ID - */ - async getEvaluation(jobId: string): Promise { - return this.request(`/api/v1/evaluations/${jobId}`); - } - - /** - * List evaluation jobs - */ - async listEvaluations( - status?: EvaluationStatus, - limit: number = 50, - offset: number = 0 - ): Promise { - const params = new URLSearchParams(); - if (status) params.append('status', status); - params.append('limit', limit.toString()); - params.append('offset', offset.toString()); - - const query = params.toString(); - const endpoint = `/api/v1/evaluations${query ? `?${query}` : ''}`; - - return this.request(endpoint); - } - - /** - * Cancel evaluation job - */ - async cancelEvaluation(jobId: string): Promise<{ message: string }> { - return this.request<{ message: string }>(`/api/v1/evaluations/${jobId}`, { - method: 'DELETE' - }); - } - - /** - * Wait for evaluation to complete - */ - async waitForEvaluation( - jobId: string, - pollInterval: number = 2000, - maxWaitTime: number = 300000 // 5 minutes - ): Promise { - const startTime = Date.now(); - - while (Date.now() - startTime < maxWaitTime) { - const job = await this.getEvaluation(jobId); - - if (job.status === EvaluationStatus.COMPLETED || - job.status === EvaluationStatus.FAILED || - job.status === EvaluationStatus.CANCELLED) { - return job; - } - - await new Promise(resolve => setTimeout(resolve, pollInterval)); - } - - throw new Error(`Evaluation ${jobId} did not complete within ${maxWaitTime}ms`); - } -} diff --git a/packages/sdk/src/index.ts b/packages/sdk/src/index.ts deleted file mode 100644 index 1974eea8..00000000 --- a/packages/sdk/src/index.ts +++ /dev/null @@ -1,55 +0,0 @@ -/** - * Rogue Agent Evaluator TypeScript SDK - * - * A functional TypeScript SDK for interacting with the Rogue Agent Evaluator API. - * - * @example Factory function approach - * ```typescript - * import { createRogueClient } from '@rogue/sdk'; - * - * const client = createRogueClient({ baseUrl: 'http://localhost:8000' }); - * const result = await client.quickEvaluate(agentUrl, scenarios); - * - * // Destructuring works perfectly - * const { quickEvaluate, createEvaluation } = client; - * await quickEvaluate(agentUrl, scenarios); - * ``` - * - * @example Pure functions approach - * ```typescript - * import { quickEvaluate, createEvaluation } from '@rogue/sdk'; - * - * const config = { baseUrl: 'http://localhost:8000' }; - * const result = await quickEvaluate(config, agentUrl, scenarios); - * ``` - * - * @example Real-time updates - * ```typescript - * const client = createRogueClient(config); - * - * const result = await client.runEvaluationWithUpdates( - * request, - * (job) => console.log(`Progress: ${(job.progress * 100).toFixed(1)}%`), - * (chat) => console.log(`Chat: ${chat.content}`) - * ); - * ``` - */ - -// Main functional API -export { - createRogueClient, - quickEvaluate, - createEvaluation, - getEvaluation, - type RogueClient -} from './sdk'; - -// Low-level clients -export { RogueHttpClient } from './client'; -export { RogueWebSocketClient } from './websocket'; - -// All types -export * from './types'; - -// Default export -export { createRogueClient as default } from './sdk'; diff --git a/packages/sdk/src/scripts/eval-runner.ts b/packages/sdk/src/scripts/eval-runner.ts deleted file mode 100644 index 9196e5de..00000000 --- a/packages/sdk/src/scripts/eval-runner.ts +++ /dev/null @@ -1,152 +0,0 @@ -#!/usr/bin/env node - -/* - A small CLI that uses the SDK to start an evaluation and streams NDJSON events - to stdout for consumption by the Go TUI. - - Usage: - node dist/scripts/eval-runner.js \ - --server-url=http://localhost:8000 \ - --agent-url=http://localhost:3000 \ - --judge-model=openai/gpt-4o-mini \ - --parallel-runs=1 \ - --scenarios-path=.rogue/scenarios.json \ - [--auth-type=no_auth|api_key|bearer_token|basic] \ - [--auth-credentials=...] -*/ - -import fs from "fs"; -import path from "path"; -import { - createRogueClient, - AuthType, - ScenarioType, - type EvaluationRequest, - type AgentConfig, - type Scenario, -} from "../sdk"; - -type Args = Record; - -function parseArgs(argv: string[]): Args { - const args: Args = {}; - for (const a of argv.slice(2)) { - const m = a.match(/^--([^=]+)=(.*)$/); - if (m) { - args[m[1]] = m[2]; - } - } - return args; -} - -function println(obj: any) { - process.stdout.write(JSON.stringify(obj) + "\n"); -} - -function toAuthType(v?: string): AuthType { - switch ((v || "no_auth").toLowerCase()) { - case "api_key": - return AuthType.API_KEY; - case "bearer_token": - return AuthType.BEARER_TOKEN; - case "basic": - return AuthType.BASIC_AUTH; - default: - return AuthType.NO_AUTH; - } -} - -function readScenarios(p: string): string[] { - const full = path.resolve(process.cwd(), p); - const data = fs.readFileSync(full, "utf-8"); - const json = JSON.parse(data); - if (Array.isArray(json)) { - // assume array of strings - return json as string[]; - } - if (json && Array.isArray(json.scenarios)) { - const items = json.scenarios as any[]; - return items - .map((s) => (typeof s === "string" ? s : (s.scenario ?? ""))) - .filter(Boolean); - } - return []; -} - -async function main() { - const args = parseArgs(process.argv); - const baseUrl = - args["server-url"] || process.env.ROGUE_URL || "http://localhost:8000"; - const agentUrl = args["agent-url"] || "http://localhost:3000"; - const judgeModel = args["judge-model"] || "openai/gpt-4o-mini"; - const scenariosPath = - args["scenarios-path"] || path.join(".rogue", "scenarios.json"); - const parallelRuns = Math.max(1, parseInt(args["parallel-runs"] || "1", 10)); - const authType = toAuthType(args["auth-type"]); - const authCredentials = args["auth-credentials"]; - const deepTest = (args["deep-test"] || "false").toLowerCase() === "true"; - - try { - const client = createRogueClient({ baseUrl }); - const health = await client.health(); - println({ type: "health", status: health.status }); - - const scenarioStrings = readScenarios(scenariosPath); - if (scenarioStrings.length === 0) { - println({ type: "error", message: "No scenarios found" }); - process.exit(2); - return; - } - - const agentConfig: AgentConfig = { - evaluated_agent_url: agentUrl, - evaluated_agent_auth_type: authType, - evaluated_agent_credentials: authCredentials, - judge_llm: judgeModel, - deep_test_mode: deepTest, - interview_mode: true, - parallel_runs: parallelRuns, - }; - - const scenarios: Scenario[] = scenarioStrings.map((s) => ({ - scenario: s, - scenario_type: ScenarioType.POLICY, - })); - - const request: EvaluationRequest = { - agent_config: agentConfig, - scenarios, - max_retries: 3, - timeout_seconds: 600, - }; - - println({ type: "start", total: scenarios.length, parallelRuns }); - - const result = await client.runEvaluationWithUpdates( - request, - (job) => { - println({ - type: "status", - status: job.status, - progress: job.progress ?? 0, - }); - }, - (chat) => { - // chat shape is server-defined; forward role/content - println({ type: "chat", role: chat.role, content: chat.content }); - } - ); - - println({ - type: "eval", - status: result.status, - resultsCount: result.results?.length ?? 0, - }); - process.exit(0); - } catch (err: any) { - println({ type: "error", message: err?.message || String(err) }); - process.exit(1); - } -} - -main(); diff --git a/packages/sdk/src/sdk.ts b/packages/sdk/src/sdk.ts deleted file mode 100644 index e4f4a823..00000000 --- a/packages/sdk/src/sdk.ts +++ /dev/null @@ -1,234 +0,0 @@ -/** - * Functional TypeScript SDK for Rogue Agent Evaluator - * - * More idiomatic TypeScript approach using factory functions - * instead of classes. - */ - -import { RogueHttpClient } from "./client"; -import { RogueWebSocketClient } from "./websocket"; -import { - RogueClientConfig, - EvaluationRequest, - EvaluationResponse, - EvaluationJob, - JobListResponse, - HealthResponse, - EvaluationStatus, - AgentConfig, - Scenario, - AuthType, - ScenarioType, -} from "./types"; - -// Core client interface -export interface RogueClient { - readonly config: RogueClientConfig; - health(): Promise; - createEvaluation(request: EvaluationRequest): Promise; - getEvaluation(jobId: string): Promise; - listEvaluations( - status?: EvaluationStatus, - limit?: number, - offset?: number - ): Promise; - cancelEvaluation(jobId: string): Promise<{ message: string }>; - waitForEvaluation( - jobId: string, - pollInterval?: number, - maxWaitTime?: number - ): Promise; - runEvaluationWithUpdates( - request: EvaluationRequest, - onUpdate?: (job: EvaluationJob) => void, - onChat?: (chatData: any) => void - ): Promise; - quickEvaluate( - agentUrl: string, - scenarios: string[], - options?: { - judgeModel?: string; - authType?: AuthType; - authCredentials?: string; - deepTest?: boolean; - } - ): Promise; -} - -/** - * Create a Rogue client instance - */ -export function createRogueClient(config: RogueClientConfig): RogueClient { - const httpClient = new RogueHttpClient(config); - let wsClient: RogueWebSocketClient | null = null; - - return { - config, - - async health() { - return httpClient.health(); - }, - - async createEvaluation(request: EvaluationRequest) { - return httpClient.createEvaluation(request); - }, - - async getEvaluation(jobId: string) { - return httpClient.getEvaluation(jobId); - }, - - async listEvaluations( - status?: EvaluationStatus, - limit?: number, - offset?: number - ) { - return httpClient.listEvaluations(status, limit, offset); - }, - - async cancelEvaluation(jobId: string) { - return httpClient.cancelEvaluation(jobId); - }, - - async waitForEvaluation( - jobId: string, - pollInterval?: number, - maxWaitTime?: number - ) { - return httpClient.waitForEvaluation(jobId, pollInterval, maxWaitTime); - }, - - async runEvaluationWithUpdates( - request: EvaluationRequest, - onUpdate?: (job: EvaluationJob) => void, - onChat?: (chatData: any) => void - ) { - // Create evaluation - const response = await httpClient.createEvaluation(request); - const jobId = response.job_id; - - // Connect WebSocket for updates - if (wsClient) { - wsClient.disconnect(); - } - wsClient = new RogueWebSocketClient(config.baseUrl, jobId); - await wsClient.connect(); - - return new Promise((resolve, reject) => { - if (!wsClient) { - reject(new Error("WebSocket connection failed")); - return; - } - - // Set up event handlers - wsClient.on("job_update", (event, data) => { - if (onUpdate) { - onUpdate(data); - } - - // Check if job is complete - if ( - data.status === EvaluationStatus.COMPLETED || - data.status === EvaluationStatus.FAILED || - data.status === EvaluationStatus.CANCELLED - ) { - wsClient?.disconnect(); - wsClient = null; - resolve(data); - } - }); - - if (onChat) { - wsClient.on("chat_update", (event, data) => { - onChat(data); - }); - } - - wsClient.on("error", (event, data) => { - wsClient?.disconnect(); - wsClient = null; - reject(new Error(`WebSocket error: ${data.error}`)); - }); - - // Set timeout - setTimeout(() => { - wsClient?.disconnect(); - wsClient = null; - reject(new Error("Evaluation timed out")); - }, 300000); // 5 minutes - }); - }, - - async quickEvaluate( - agentUrl: string, - scenarios: string[], - options: { - judgeModel?: string; - authType?: AuthType; - authCredentials?: string; - deepTest?: boolean; - } = {} - ) { - const agentConfig: AgentConfig = { - evaluated_agent_url: agentUrl, - evaluated_agent_auth_type: options.authType || AuthType.NO_AUTH, - evaluated_agent_credentials: options.authCredentials || "", - judge_llm: options.judgeModel || "openai/gpt-4o-mini", - deep_test_mode: options.deepTest || false, - interview_mode: true, - parallel_runs: 1, - }; - - const scenarioObjects: Scenario[] = scenarios.map((scenario) => ({ - scenario, - scenario_type: ScenarioType.POLICY, - })); - - const request: EvaluationRequest = { - agent_config: agentConfig, - scenarios: scenarioObjects, - max_retries: 3, - timeout_seconds: 300, - }; - - const response = await httpClient.createEvaluation(request); - return httpClient.waitForEvaluation(response.job_id); - }, - }; -} - -// Convenience functions for one-off operations -export async function quickEvaluate( - config: RogueClientConfig, - agentUrl: string, - scenarios: string[], - options?: { - judgeModel?: string; - authType?: AuthType; - authCredentials?: string; - deepTest?: boolean; - } -): Promise { - const client = createRogueClient(config); - return client.quickEvaluate(agentUrl, scenarios, options); -} - -export async function createEvaluation( - config: RogueClientConfig, - request: EvaluationRequest -): Promise { - const client = createRogueClient(config); - return client.createEvaluation(request); -} - -export async function getEvaluation( - config: RogueClientConfig, - jobId: string -): Promise { - const client = createRogueClient(config); - return client.getEvaluation(jobId); -} - -// Export everything for flexibility -export { RogueHttpClient } from "./client"; -export * from "./types"; -export { RogueWebSocketClient } from "./websocket"; diff --git a/packages/sdk/src/types.ts b/packages/sdk/src/types.ts deleted file mode 100644 index ccc1beaa..00000000 --- a/packages/sdk/src/types.ts +++ /dev/null @@ -1,131 +0,0 @@ -/** - * TypeScript types for Rogue Agent Evaluator API - * - * These types mirror the Pydantic models from the FastAPI server. - */ - -// Enums -export enum AuthType { - NO_AUTH = "no_auth", - API_KEY = "api_key", - BEARER_TOKEN = "bearer_token", - BASIC_AUTH = "basic", -} - -export enum ScenarioType { - POLICY = "policy", - PROMPT_INJECTION = "prompt_injection", -} - -export enum EvaluationStatus { - PENDING = "pending", - RUNNING = "running", - COMPLETED = "completed", - FAILED = "failed", - CANCELLED = "cancelled", -} - -// Core Models -export interface AgentConfig { - evaluated_agent_url: string; - evaluated_agent_auth_type: AuthType; - evaluated_agent_credentials?: string; - service_llm?: string; - judge_llm: string; - interview_mode?: boolean; - deep_test_mode?: boolean; - parallel_runs?: number; - judge_llm_api_key?: string; -} - -export interface Scenario { - scenario: string; - scenario_type: ScenarioType; - dataset?: string; - expected_outcome?: string; - dataset_sample_size?: number; -} - -export interface ChatMessage { - role: string; - content: string; - timestamp?: string; -} - -export interface ConversationEvaluation { - messages: ChatMessage[]; - passed: boolean; - reason: string; -} - -export interface EvaluationResult { - scenario: Scenario; - conversations: ConversationEvaluation[]; - passed: boolean; -} - -// API Request/Response Models -export interface EvaluationRequest { - agent_config: AgentConfig; - scenarios: Scenario[]; - max_retries?: number; - timeout_seconds?: number; -} - -export interface EvaluationJob { - job_id: string; - status: EvaluationStatus; - created_at: string; - started_at?: string; - completed_at?: string; - request: EvaluationRequest; - results?: EvaluationResult[]; - error_message?: string; - progress: number; -} - -export interface EvaluationResponse { - job_id: string; - status: EvaluationStatus; - message: string; -} - -export interface JobListResponse { - jobs: EvaluationJob[]; - total: number; -} - -export interface HealthResponse { - status: string; - timestamp: string; - version: string; - python_version: string; - platform: string; -} - -// WebSocket Messages -export interface WebSocketMessage { - type: string; - job_id: string; - data: Record; -} - -// SDK Configuration -export interface RogueClientConfig { - baseUrl: string; - apiKey?: string; - timeout?: number; - retries?: number; -} - -// Event Types for WebSocket -export type WebSocketEventType = - | "job_update" - | "chat_update" - | "error" - | "connected" - | "disconnected"; - -export interface WebSocketEventHandler { - (event: WebSocketEventType, data: any): void; -} diff --git a/packages/sdk/src/websocket.ts b/packages/sdk/src/websocket.ts deleted file mode 100644 index 46d75d5a..00000000 --- a/packages/sdk/src/websocket.ts +++ /dev/null @@ -1,181 +0,0 @@ -/** - * WebSocket Client for Rogue Agent Evaluator real-time updates - */ - -import WebSocket from 'ws'; -import { - WebSocketMessage, - WebSocketEventType, - WebSocketEventHandler -} from './types'; - -export class RogueWebSocketClient { - private ws?: WebSocket; - private baseUrl: string; - private jobId?: string; - private eventHandlers: Map = new Map(); - private reconnectAttempts = 0; - private maxReconnectAttempts = 5; - private reconnectDelay = 1000; - private isConnecting = false; - - constructor(baseUrl: string, jobId?: string) { - this.baseUrl = baseUrl.replace(/^http/, 'ws').replace(/\/$/, ''); - this.jobId = jobId; - } - - /** - * Connect to WebSocket - */ - async connect(): Promise { - if (this.isConnecting || (this.ws && this.ws.readyState === WebSocket.OPEN)) { - return; - } - - this.isConnecting = true; - - return new Promise((resolve, reject) => { - try { - const wsUrl = this.jobId - ? `${this.baseUrl}/ws/${this.jobId}` - : `${this.baseUrl}/ws`; - - this.ws = new WebSocket(wsUrl); - - this.ws.on('open', () => { - this.isConnecting = false; - this.reconnectAttempts = 0; - this.emit('connected', { url: wsUrl }); - resolve(); - }); - - this.ws.on('message', (data: WebSocket.Data) => { - try { - const message: WebSocketMessage = JSON.parse(data.toString()); - this.handleMessage(message); - } catch (error) { - console.error('Failed to parse WebSocket message:', error); - } - }); - - this.ws.on('close', (code: number, reason: Buffer) => { - this.isConnecting = false; - this.emit('disconnected', { code, reason: reason.toString() }); - - if (code !== 1000 && this.reconnectAttempts < this.maxReconnectAttempts) { - this.scheduleReconnect(); - } - }); - - this.ws.on('error', (error: Error) => { - this.isConnecting = false; - this.emit('error', { error: error.message }); - reject(error); - }); - - } catch (error) { - this.isConnecting = false; - reject(error); - } - }); - } - - /** - * Disconnect from WebSocket - */ - disconnect(): void { - if (this.ws) { - this.ws.close(1000, 'Client disconnect'); - this.ws = undefined; - } - } - - /** - * Add event handler - */ - on(event: WebSocketEventType, handler: WebSocketEventHandler): void { - if (!this.eventHandlers.has(event)) { - this.eventHandlers.set(event, []); - } - this.eventHandlers.get(event)!.push(handler); - } - - /** - * Remove event handler - */ - off(event: WebSocketEventType, handler: WebSocketEventHandler): void { - const handlers = this.eventHandlers.get(event); - if (handlers) { - const index = handlers.indexOf(handler); - if (index > -1) { - handlers.splice(index, 1); - } - } - } - - /** - * Remove all event handlers - */ - removeAllListeners(event?: WebSocketEventType): void { - if (event) { - this.eventHandlers.delete(event); - } else { - this.eventHandlers.clear(); - } - } - - /** - * Check if connected - */ - get isConnected(): boolean { - return this.ws?.readyState === WebSocket.OPEN; - } - - /** - * Handle incoming WebSocket message - */ - private handleMessage(message: WebSocketMessage): void { - switch (message.type) { - case 'job_update': - this.emit('job_update', message.data); - break; - case 'chat_update': - this.emit('chat_update', message.data); - break; - default: - console.warn('Unknown WebSocket message type:', message.type); - } - } - - /** - * Emit event to handlers - */ - private emit(event: WebSocketEventType, data: any): void { - const handlers = this.eventHandlers.get(event); - if (handlers) { - handlers.forEach(handler => { - try { - handler(event, data); - } catch (error) { - console.error('Error in WebSocket event handler:', error); - } - }); - } - } - - /** - * Schedule reconnection attempt - */ - private scheduleReconnect(): void { - this.reconnectAttempts++; - const delay = this.reconnectDelay * Math.pow(2, this.reconnectAttempts - 1); - - setTimeout(() => { - if (this.reconnectAttempts <= this.maxReconnectAttempts) { - this.connect().catch(error => { - console.error('Reconnection failed:', error); - }); - } - }, delay); - } -} diff --git a/packages/sdk/tsconfig.json b/packages/sdk/tsconfig.json deleted file mode 100644 index 401f345f..00000000 --- a/packages/sdk/tsconfig.json +++ /dev/null @@ -1,36 +0,0 @@ -{ - "compilerOptions": { - "target": "ES2020", - "module": "commonjs", - "lib": ["ES2020", "DOM"], - "outDir": "./dist", - "rootDir": "./src", - "strict": true, - "esModuleInterop": true, - "skipLibCheck": true, - "forceConsistentCasingInFileNames": true, - "declaration": true, - "declarationMap": true, - "sourceMap": true, - "removeComments": false, - "noImplicitAny": true, - "noImplicitReturns": true, - "noImplicitThis": true, - "noUnusedLocals": true, - "noUnusedParameters": true, - "exactOptionalPropertyTypes": true, - "moduleResolution": "node", - "resolveJsonModule": true, - "isolatedModules": true, - "noEmit": false - }, - "include": [ - "src/**/*" - ], - "exclude": [ - "node_modules", - "dist", - "**/*.test.ts", - "**/*.spec.ts" - ] -} diff --git a/pyproject.toml b/pyproject.toml index 62ad3122..62c122fb 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -13,7 +13,6 @@ dependencies = [ "fastapi>=0.121.0", "fastmcp>=2.12.5", "google-adk==1.5.0", - "gradio==5.35.0", "langchain-openai>=0.3.35", "litellm==1.76.1", "loguru==0.7.3", diff --git a/rogue/__init__.py b/rogue/__init__.py index bc57f52c..2d35fb7d 100644 --- a/rogue/__init__.py +++ b/rogue/__init__.py @@ -30,8 +30,6 @@ prompt_injection_evaluator, run_cli, run_server, - run_ui, - ui, ) # Import the new library interface @@ -57,9 +55,7 @@ "models", "prompt_injection_evaluator", "run_cli", - "run_ui", "run_server", - "ui", "get_version", ] diff --git a/rogue/__main__.py b/rogue/__main__.py index f9ed8e94..10d861d0 100644 --- a/rogue/__main__.py +++ b/rogue/__main__.py @@ -26,7 +26,6 @@ from .run_cli import run_cli, set_cli_args from .run_server import run_server, set_server_args from .run_tui import run_rogue_tui -from .run_ui import run_ui, set_ui_args load_dotenv() @@ -90,14 +89,6 @@ def parse_args() -> Namespace: ) set_server_args(server_parser) - # UI mode - ui_parser = subparsers.add_parser( - "ui", - help="Run in interactive UI mode", - parents=[common_parser()], - ) - set_ui_args(ui_parser) - # CLI mode cli_parser = subparsers.add_parser( "cli", @@ -262,9 +253,7 @@ def main() -> None: args.workdir.mkdir(exist_ok=True, parents=True) try: - if args.mode == "ui": - run_ui(args) - elif args.mode == "server": + if args.mode == "server": run_server(args, background=False) elif args.mode == "cli": exit_code = asyncio.run(run_cli(args)) diff --git a/rogue/run_ui.py b/rogue/run_ui.py deleted file mode 100644 index c5fc432f..00000000 --- a/rogue/run_ui.py +++ /dev/null @@ -1,33 +0,0 @@ -from argparse import ArgumentParser, Namespace -from pathlib import Path - -from .ui.app import get_app - - -def set_ui_args(parser: ArgumentParser) -> None: - parser.add_argument( - "--rogue-server-url", - default="http://localhost:8000", - help="Rogue server URL", - ) - parser.add_argument( - "--port", - type=int, - help="Port to run the UI on", - ) - - -def run_ui(args: Namespace) -> None: - port: int | None = args.port - workdir: Path = args.workdir - rogue_server_url: str = args.rogue_server_url - - app = get_app( - workdir, - rogue_server_url, - ) - app.launch( - inbrowser=True, - prevent_thread_lock=False, # This might need to change after agent is created - server_port=port, - ) diff --git a/rogue/ui/__init__.py b/rogue/ui/__init__.py deleted file mode 100644 index 58431333..00000000 --- a/rogue/ui/__init__.py +++ /dev/null @@ -1 +0,0 @@ -from . import app, components, config, models diff --git a/rogue/ui/app.py b/rogue/ui/app.py deleted file mode 100644 index c7971d44..00000000 --- a/rogue/ui/app.py +++ /dev/null @@ -1,190 +0,0 @@ -import json -from pathlib import Path - -from rogue_sdk.types import AuthType, Protocol, Transport - -from ..common.workdir_utils import load_config -from .components.config_screen import create_config_screen -from .components.interviewer import create_interviewer_screen -from .components.report_generator import ( - create_report_generator_screen, - setup_report_generator_logic, -) -from .components.scenario_generator import create_scenario_generator_screen -from .components.scenario_runner import create_scenario_runner_screen -from .config.theme import get_theme - - -def get_app(workdir: Path, rogue_server_url: str): - # gradio import takes a while, importing here to reduce startup time. - import gradio as gr - - with gr.Blocks(theme=get_theme(), title="Qualifire Agent Evaluator") as app: - shared_state = gr.State( - { - "config": {}, - "business_context": "", - "scenarios": [], - "results": [], - "workdir": workdir, - "rogue_server_url": rogue_server_url, - }, - ) - - with gr.Tabs() as tabs: - with gr.TabItem("1. Config", id="config"): - ( - agent_url, - protocol, - transport, - interview_mode, - auth_type, - auth_credentials, - service_llm, - judge_llm, - judge_llm_api_key, - # huggingface_api_key, - deep_test_mode, - parallel_runs, - ) = create_config_screen(shared_state, tabs) - - with gr.TabItem("2. Interview", id="interview"): - create_interviewer_screen(shared_state, tabs) - - with gr.TabItem("3. Scenarios", id="scenarios") as scenarios_tab: - ( - business_context_display, - _, - _, - ) = create_scenario_generator_screen(shared_state, tabs) - - with gr.TabItem("4. Run & Evaluate", id="run") as run_tab: - ( - scenarios_display_runner, - _, - ) = create_scenario_runner_screen(shared_state, tabs) - - with gr.TabItem("5. Report", id="report"): - ( - evaluation_results_display, - summary_display, - ) = create_report_generator_screen(shared_state) - - # --- Event Handlers --- - setup_report_generator_logic( - tabs, - evaluation_results_display, - summary_display, - shared_state, - ) - - def update_context_display(state): - return gr.update(value=state.get("business_context", "")) - - scenarios_tab.select( - fn=update_context_display, - inputs=[shared_state], - outputs=[business_context_display], - ) - - def update_scenarios_display(state): - scenarios = state.get("scenarios", []) - if scenarios: - # Scenarios object might be a Pydantic model, so dump it - if hasattr(scenarios, "model_dump_json"): - return scenarios.model_dump_json(indent=2, exclude_none=True) - return json.dumps(scenarios, indent=2) - return "{}" - - run_tab.select( - fn=update_scenarios_display, - inputs=[shared_state], - outputs=[scenarios_display_runner], - ) - - def load_and_update_ui(): - state = { - "business_context": "", - "scenarios": [], - "results": [], - "workdir": workdir, - "rogue_server_url": rogue_server_url, - } - config = load_config(state) - state["config"] = config - - auth_type_val = config.get( - "evaluated_agent_auth_type", - AuthType.NO_AUTH.value, - ) - # Safe enum parsing with sensible fallbacks - raw_protocol = config.get("protocol", Protocol.A2A.value) - raw_transport = config.get("transport", Transport.HTTP.value) - try: - protocol_val = Protocol(raw_protocol) - except (ValueError, KeyError): - protocol_val = Protocol.A2A - try: - transport_val = Transport(raw_transport) - except (ValueError, KeyError): - transport_val = Transport.HTTP - - if not transport_val.is_valid_for_protocol(protocol_val): - transport_val = protocol_val.get_default_transport() - return { - shared_state: state, - agent_url: gr.update( - value=config.get("evaluated_agent_url", "http://localhost:10001"), - ), - protocol: gr.update(value=protocol_val.value), - transport: gr.update(value=transport_val.value), - interview_mode: gr.update(value=config.get("interview_mode", True)), - deep_test_mode: gr.update(value=config.get("deep_test_mode", False)), - parallel_runs: gr.update(value=config.get("parallel_runs", 1)), - auth_type: gr.update(value=auth_type_val), - auth_credentials: gr.update( - value=config.get("evaluated_agent_credentials", ""), - visible=auth_type_val != AuthType.NO_AUTH.value, - ), - service_llm: gr.update( - value=config.get("service_llm", "openai/gpt-4.1"), - ), - judge_llm: gr.update(value=config.get("judge_llm", "openai/o4-mini")), - judge_llm_api_key: gr.update(value=config.get("judge_llm_api_key", "")), - # huggingface_api_key: gr.update( - # value=config.get("huggingface_api_key", "") - # ), - } - - app.load( - fn=load_and_update_ui, - inputs=None, - outputs=[ - shared_state, - agent_url, - protocol, - transport, - interview_mode, - auth_type, - auth_credentials, - service_llm, - judge_llm, - judge_llm_api_key, - # huggingface_api_key, - deep_test_mode, - parallel_runs, - ], - ) - - footer_html = """ -
- made with ❤️ by - Qualifire - -
- """ - gr.Markdown(footer_html) - - return app diff --git a/rogue/ui/components/__init__.py b/rogue/ui/components/__init__.py deleted file mode 100644 index 704c6088..00000000 --- a/rogue/ui/components/__init__.py +++ /dev/null @@ -1,4 +0,0 @@ -from . import config_screen -from . import interviewer -from . import report_generator -from . import scenario_generator diff --git a/rogue/ui/components/config_screen.py b/rogue/ui/components/config_screen.py deleted file mode 100644 index 5ef667dc..00000000 --- a/rogue/ui/components/config_screen.py +++ /dev/null @@ -1,405 +0,0 @@ -from typing import TYPE_CHECKING - -from loguru import logger -from pydantic import ValidationError -from rogue_sdk.types import ( - PROTOCOL_TO_TRANSPORTS, - AgentConfig, - AuthType, - EvaluationMode, - Protocol, -) - -from ...common.workdir_utils import dump_config - -if TYPE_CHECKING: - from gradio import State, Tabs - - -def create_config_screen( - shared_state: "State", - tabs_component: "Tabs", -): - # gradio import takes a while, importing here to reduce startup time. - import gradio as gr - - config_data = {} - if shared_state.value and isinstance(shared_state.value, dict): - config_data = shared_state.value.get("config", {}) - - with gr.Column(): - gr.Markdown("## Agent Configuration") - agent_url = gr.Textbox( - label="Agent URL", - placeholder="http://localhost:8000", - value=config_data.get( - "evaluated_agent_url", - "http://localhost:10001", - ), - ) - agent_url_error = gr.Markdown(visible=False, elem_classes=["error-label"]) - - gr.Markdown("**Protocol**") - protocol = gr.Dropdown( - label="Protocol", - choices=[p.value for p in Protocol], - value=config_data.get( - "protocol", - Protocol.A2A.value, - ), - ) - - # Get initial transport choices based on current protocol - initial_protocol = Protocol( - config_data.get("protocol", Protocol.A2A.value), - ) - initial_transport_choices = [ - t.value for t in PROTOCOL_TO_TRANSPORTS[initial_protocol] - ] - initial_transport_value = config_data.get( - "transport", - initial_protocol.get_default_transport().value, - ) - if initial_transport_value not in initial_transport_choices: - initial_transport_value = initial_protocol.get_default_transport().value - - gr.Markdown("**Transport**") - transport = gr.Dropdown( - label="Transport", - choices=initial_transport_choices, - value=initial_transport_value, - ) - - gr.Markdown("**Interview Mode**") - interview_mode = gr.Checkbox( - label="Enable AI-powered business context interview", - value=config_data.get( - "interview_mode", - True, - ), - ) - gr.Markdown( - "When enabled, you'll be guided through an AI-powered interview to " - "extract your agent's business context. Turn off to skip this step.", - ) - - gr.Markdown("**Deep Test Mode**") - deep_test_mode = gr.Checkbox( - label="Enable deep test mode.", - value=config_data.get("deep_test_mode", True), - ) - gr.Markdown( - "When enabled, the evaluator will " - "approach each scenario from different angles", - ) - - gr.Markdown("**Evaluation Mode**") - evaluation_mode = gr.Dropdown( - label="Evaluation Mode", - choices=[e.value for e in EvaluationMode], - value=config_data.get( - "evaluation_mode", - EvaluationMode.POLICY.value, - ), - info="Policy mode tests agent policies. Red Team mode performs OWASP security testing.", # noqa: E501 - ) - - owasp_categories = gr.CheckboxGroup( - label="OWASP Categories (Red Team Mode)", - choices=[ - "LLM_01", - "LLM_06", - "LLM_07", - ], - value=config_data.get("owasp_categories", []), - visible=config_data.get("evaluation_mode", EvaluationMode.POLICY.value) - == EvaluationMode.RED_TEAM.value, - info="Select OWASP categories to test. Required for Red Team mode.", - ) - - attacks_per_category = gr.Slider( - label="Attacks per Category", - minimum=1, - maximum=10, - step=1, - value=config_data.get("attacks_per_category", 5), - visible=config_data.get("evaluation_mode", EvaluationMode.POLICY.value) - == EvaluationMode.RED_TEAM.value, - info="Number of attack scenarios to generate per OWASP category", - ) - - gr.Markdown("### Parallel Runs") - parallel_runs = gr.Slider( - label="Number of parallel evaluation runs", - minimum=1, - maximum=10, - step=1, - value=config_data.get("parallel_runs", 1), - ) - gr.Markdown("### Authentication") - - auth_type = gr.Dropdown( - label="Authentication Type", - choices=[e.value for e in AuthType], - value=config_data.get( - "evaluated_agent_auth_type", - AuthType.NO_AUTH.value, - ), - ) - auth_credentials = gr.Textbox( - label="Authentication Credentials", - type="password", - visible=( - config_data.get("evaluated_agent_auth_type", AuthType.NO_AUTH.value) - != AuthType.NO_AUTH.value - ), - ) - auth_credentials_error = gr.Markdown( - visible=False, - elem_classes=["error-label"], - ) - - gr.Markdown("## Evaluator Configuration") - gr.Markdown( - "Specify the models for the evaluation process. " - "The **Service LLM** will be used to interview, " - "generate scenarios and summaries. The **Judge LLM** is used by the " - "evaluator agent to score the agent's performance against those scenarios.", - ) - gr.Markdown( - "ℹ️ Under the hood we're using `litellm`. See the " - "[list of supported models](https://docs.litellm.ai/docs/providers). " - "You can use environment variables for API keys.", - ) - - service_llm = gr.Textbox( - label="Service LLM", - value=config_data.get( - "service_llm", - "openai/gpt-4.1", - ), - ) - judge_llm = gr.Textbox( - label="Judge LLM", - value=config_data.get( - "judge_llm", - "openai/o4-mini", - ), - ) - judge_llm_api_key = gr.Textbox( - label="Judge LLM API Key", - type="password", - value=config_data.get("judge_llm_api_key", ""), - ) - judge_llm_api_key_error = gr.Markdown( - visible=False, - elem_classes=["error-label"], - ) - - # huggingface_api_key = gr.Textbox( - # label="HuggingFace API Key", - # type="password", - # value=config_data.get( - # "huggingface_api_key", - # "", - # ), - # ) - # huggingface_api_key_error = gr.Markdown( - # visible=False, elem_classes=["error-label"] - # ) - - save_button = gr.Button("Save Configuration") - general_error_label = gr.Markdown(visible=False, elem_classes=["error-label"]) - - error_labels = { - "agent_url": agent_url_error, - "auth_credentials": auth_credentials_error, - "judge_llm_api_key": judge_llm_api_key_error, - # "huggingface_api_key": huggingface_api_key_error, - } - - def update_state(state, key, value): - logger.info(f"Updating state: {key} = {value}") - state["config"][key] = value - return state - - def toggle_owasp_fields(mode_val): - """Show/hide OWASP fields based on evaluation mode.""" - is_visible = mode_val == EvaluationMode.RED_TEAM.value - return ( - gr.update(visible=is_visible), - gr.update(visible=is_visible), - ) - - evaluation_mode.change( - fn=toggle_owasp_fields, - inputs=[evaluation_mode], - outputs=[owasp_categories, attacks_per_category], - ) - - for component, key in [ - (agent_url, "agent_url"), - (protocol, "protocol"), - (transport, "transport"), - (interview_mode, "interview_mode"), - (auth_type, "auth_type"), - (auth_credentials, "auth_credentials"), - (service_llm, "service_llm"), - (judge_llm, "judge_llm"), - (judge_llm_api_key, "judge_llm_api_key"), - # (huggingface_api_key, "huggingface_api_key"), - (deep_test_mode, "deep_test_mode"), - (parallel_runs, "parallel_runs"), - (evaluation_mode, "evaluation_mode"), - (owasp_categories, "owasp_categories"), - (attacks_per_category, "attacks_per_category"), - ]: - component.change( # type: ignore - fn=update_state, - inputs=[shared_state, gr.State(key), component], - outputs=[shared_state], - ) - - def toggle_auth_credentials(auth_t): - is_visible = auth_t != AuthType.NO_AUTH.value - return gr.update(visible=is_visible) - - auth_type.change( - fn=toggle_auth_credentials, - inputs=[auth_type], - outputs=[auth_credentials], - ) - - def update_transport_choices(protocol_val): - """Update transport choices based on selected protocol.""" - selected_protocol = Protocol(protocol_val) - transport_choices = [t.value for t in PROTOCOL_TO_TRANSPORTS[selected_protocol]] - default_transport = selected_protocol.get_default_transport().value - return gr.update(choices=transport_choices, value=default_transport) - - protocol.change( - fn=update_transport_choices, - inputs=[protocol], - outputs=[transport], - ) - - def save_config( - state, - url, - protocol_val, - transport_val, - interview_mode_val, - deep_test_mode_val, - parallel_runs_val, - auth_t, - creds, - service_llm_val, - llm, - llm_key, - eval_mode_val, - owasp_cats, - attacks_per_cat, - # hf_key, - ): - # Start by creating updates to clear all error labels - label_updates = { - label: gr.update(value="", visible=False) for label in error_labels.values() - } - label_updates[general_error_label] = gr.update(value="", visible=False) - - try: - config = AgentConfig( - evaluated_agent_url=url, - evaluated_agent_auth_type=auth_t, - evaluated_agent_credentials=creds, - service_llm=service_llm_val, - judge_llm=llm, - judge_llm_api_key=llm_key, - deep_test_mode=deep_test_mode_val, - protocol=protocol_val, - transport=transport_val, - interview_mode=interview_mode_val, - parallel_runs=parallel_runs_val, - business_context="", - evaluation_mode=eval_mode_val, - owasp_categories=owasp_cats if owasp_cats else None, - attacks_per_category=attacks_per_cat if attacks_per_cat else 5, - ) - - config_dict = config.model_dump(mode="json") - dump_config(state, config) - state["config"] = config_dict - - next_tab = "interview" if interview_mode_val else "scenarios" - return { - **label_updates, - tabs_component: gr.update(selected=next_tab), - shared_state: state, - } - except ValidationError as e: - error_updates = { - label: gr.update(value="", visible=False) - for label in error_labels.values() - } - error_updates[general_error_label] = gr.update(value="", visible=False) - - for error in e.errors(): - loc = error["loc"][0] - msg = error["msg"] - if loc in error_labels: - error_updates[error_labels[loc]] = gr.update( - value=f"**Error:** {msg}", - visible=True, - ) - else: - logger.exception("Unhandled validation error") - error_updates[general_error_label] = gr.update( - value=f"**An unexpected error occurred:** {msg}", - visible=True, - ) - - # Important: return the state even on failure to not lose user input - return {**error_updates, shared_state: state} - - save_button.click( - fn=save_config, - inputs=[ - shared_state, - agent_url, - protocol, - transport, - interview_mode, - deep_test_mode, - parallel_runs, - auth_type, - auth_credentials, - service_llm, - judge_llm, - judge_llm_api_key, - evaluation_mode, - owasp_categories, - attacks_per_category, - # huggingface_api_key, - ], - outputs=[ - shared_state, - tabs_component, - general_error_label, - *error_labels.values(), - ], - ) - - return ( - agent_url, - protocol, - transport, - interview_mode, - auth_type, - auth_credentials, - service_llm, - judge_llm, - judge_llm_api_key, - # huggingface_api_key, - deep_test_mode, - parallel_runs, - ) diff --git a/rogue/ui/components/interviewer.py b/rogue/ui/components/interviewer.py deleted file mode 100644 index 174f9b3a..00000000 --- a/rogue/ui/components/interviewer.py +++ /dev/null @@ -1,109 +0,0 @@ -import asyncio -from typing import TYPE_CHECKING, List - -from loguru import logger -from rogue_sdk import RogueClientConfig, RogueSDK - -from ...common.workdir_utils import dump_business_context - -if TYPE_CHECKING: - from gradio import State, Tabs - - -def create_interviewer_screen( - shared_state: "State", - tabs_component: "Tabs", -): - # gradio import takes a while, importing here to reduce startup time. - import gradio as gr - - with gr.Column(): - gr.Markdown("## AI-Powered Interviewer") - gr.Markdown( - "Answer up to 5 questions to help us understand your agent's " - "business use case.", - ) - - chatbot = gr.Chatbot(height=400, label="Interviewer", type="tuples") - user_input = gr.Textbox( - show_label=False, - placeholder="Enter your response here...", - ) - finalize_button = gr.Button("Finalize Business Context") - - def respond(message, history, state): - # Append user message to history for display - history.append([message, None]) - config = state.get("config", {}) - service_llm = config.get("service_llm", "openai/gpt-4.1") - api_key = config.get("judge_llm_api_key") - - async def handle_interview_message(): - # Try SDK first (server-based) - sdk_config = RogueClientConfig( - base_url=state.get("rogue_server_url", "http://localhost:8000"), - timeout=600.0, - ) - sdk = RogueSDK(sdk_config) - - try: - # Get or create interview session - if "interview_session_id" not in state: - # Start new interview session - session = await sdk.start_interview( - model=service_llm, - api_key=api_key, - ) - state["interview_session_id"] = session.session_id - - # Send message and get response - response = await sdk.send_interview_message( - session_id=state["interview_session_id"], - message=message, - ) - - return response.response - except Exception: - logger.exception("Failed to send interview message") - finally: - await sdk.close() - - # Run async function in sync context - bot_message = asyncio.run(handle_interview_message()) - - # Add bot response to the last entry in history - history[-1][1] = bot_message - return "", history - - def finalize_context(state, history: List[List[str]]): - if history and len(history) > 1 and history[-1][1] is not None: - context = history[-1][1] - state["business_context"] = context - dump_business_context(state, context) - return state, gr.Tabs(selected="scenarios") - - gr.Warning("Could not determine business context from conversation.") - return state, gr.update() - - chatbot.value = [ - [ - None, - "Hi! We'll conduct a short interview to understand " - "your agent's business context. Please start be describing" - " the Business workflow and the user flow.", - ], - ] - - user_input.submit( - fn=respond, - inputs=[user_input, chatbot, shared_state], - outputs=[user_input, chatbot], - ) - - finalize_button.click( - fn=finalize_context, - inputs=[shared_state, chatbot], - outputs=[shared_state, tabs_component], - ) - - return [chatbot, user_input, finalize_button] diff --git a/rogue/ui/components/report_generator.py b/rogue/ui/components/report_generator.py deleted file mode 100644 index 3f502372..00000000 --- a/rogue/ui/components/report_generator.py +++ /dev/null @@ -1,121 +0,0 @@ -from pathlib import Path -from typing import TYPE_CHECKING, Tuple - -from loguru import logger -from rogue_sdk.types import EvaluationResults - -from ...server.services.api_format_service import convert_with_structured_summary - -if TYPE_CHECKING: - from gradio import JSON, Markdown, State - - -def _load_report_data_from_files( - evaluation_results_output_path: Path | None, - results: EvaluationResults | None, -) -> tuple[EvaluationResults, str]: - if ( - not evaluation_results_output_path - or not evaluation_results_output_path.exists() - ): - return EvaluationResults(), "Evaluation results file not found." - - summary_text = "No summary available." - - if not results: - results = EvaluationResults.model_validate_json( - evaluation_results_output_path.read_text(), - ) - - return results, summary_text - - -def create_report_generator_screen( - shared_state: "State", -) -> Tuple["JSON", "Markdown"]: - # gradio import takes a while, importing here to reduce startup time. - import gradio as gr - - with gr.Column(): - gr.Markdown("## Summary") - summary_display = gr.Markdown( - shared_state.value.get("summary_text", "No summary generated yet."), - ) - gr.Markdown("## Evaluation Results") - results_display = gr.JSON(label="Evaluation Results") - - return results_display, summary_display - - -def setup_report_generator_logic( - tabs_component, - evaluation_results_display, - summary_display, - shared_state, -): - # gradio import takes a while, importing here to reduce startup time. - import gradio as gr - - def on_report_tab_select(state): - results = state.get("results", EvaluationResults()) - summary = state.get("summary", "No summary available.") - - # Ensure results is not a list before calling model_dump_json - if isinstance(results, list): - logger.warning( - "Results is a list, setting to empty EvaluationResults", - extra={ - "results": results, - }, - ) - results = EvaluationResults() - - # Convert to new API format for display using server service - try: - # Extract configuration and additional metadata from state - config = state.get("config", {}) - - # For now, pass None for structured_summary since UI still uses - # string summaries. This will be updated when the UI summary generation - # is converted to structured format - api_format_results = convert_with_structured_summary( - evaluation_results=results, - structured_summary=state.get("structured_summary"), - deep_test=config.get("deep_test_mode", False), - start_time=state.get("start_time"), - judge_model=config.get("judge_llm"), - ) - results_json = api_format_results.model_dump_json( - indent=2, - exclude_none=True, - ) - except Exception as e: - logger.warning( - f"Failed to convert results to API format: {e}", - extra={ - "results": results, - }, - ) - results_json = str(results) - - return { - evaluation_results_display: gr.update(value=results_json), - summary_display: gr.update(value=summary), - } - - # Find the report tab by its id - report_tab = None - # HACK: tabs_component is a list of TabItem objects, - # and we need to find the one with id 'report' - # This is not ideal, but it's a workaround for how Gradio handles tabs - for t in tabs_component.children: - if t.id == "report": - report_tab = t - break - - if report_tab: - report_tab.select( - fn=on_report_tab_select, - inputs=[shared_state], - outputs=[evaluation_results_display, summary_display], - ) diff --git a/rogue/ui/components/scenario_generator.py b/rogue/ui/components/scenario_generator.py deleted file mode 100644 index 2191080b..00000000 --- a/rogue/ui/components/scenario_generator.py +++ /dev/null @@ -1,88 +0,0 @@ -import asyncio -from typing import TYPE_CHECKING - -from loguru import logger -from rogue_sdk import RogueClientConfig, RogueSDK - -from ...common.workdir_utils import dump_business_context, dump_scenarios - -if TYPE_CHECKING: - from gradio import State, Tabs - - -def create_scenario_generator_screen(shared_state: "State", tabs_component: "Tabs"): - # gradio import takes a while, importing here to reduce startup time. - import gradio as gr - - with gr.Column(): - gr.Markdown("## Scenario Generation") - business_context_display = gr.Textbox( - label="Finalized Business Context", - lines=5, - interactive=True, - placeholder="Please provide a brief summary of your agent's business " - "context, including its main goals, user interactions, " - "and key functionalities.", - ) - scenarios_output = gr.JSON(label="Generated Scenarios") - generate_button = gr.Button("Generate Scenarios") - - def generate_and_display_scenarios(state, current_context): - if not current_context: - gr.Warning("Business context is empty. Please finalize it first.") - return state, None, gr.update() - logger.info("Generating scenarios") - - # Update the shared state with the potentially edited context - state["business_context"] = current_context - dump_business_context(state, current_context) - - config = state.get("config", {}) - service_llm = config.get("service_llm") - api_key = config.get("judge_llm_api_key") - - async def generate_scenarios_async(): - # Try SDK first (server-based) - sdk_config = RogueClientConfig( - base_url=state.get("rogue_server_url", "http://localhost:8000"), - timeout=600.0, - ) - sdk = RogueSDK(sdk_config) - try: - return await sdk.generate_scenarios( - business_context=current_context, - model=service_llm, - api_key=api_key, - ) - except Exception: - logger.exception("Failed to generate scenarios from LLM response.") - finally: - await sdk.close() - - try: - scenarios = asyncio.run(generate_scenarios_async()) - dump_scenarios(state, scenarios) - state["scenarios"] = scenarios - - return { - shared_state: state, - scenarios_output: scenarios.model_dump_json( - indent=2, - exclude_none=True, - ), - tabs_component: gr.update(selected="run"), - } - except Exception: - gr.Error("Failed to generate scenarios from LLM response.") - return { - shared_state: state, - scenarios_output: {"error": "Failed to generate scenarios."}, - } - - generate_button.click( - fn=generate_and_display_scenarios, - inputs=[shared_state, business_context_display], - outputs=[shared_state, scenarios_output, tabs_component], - ) - - return [business_context_display, generate_button, scenarios_output] diff --git a/rogue/ui/components/scenario_runner.py b/rogue/ui/components/scenario_runner.py deleted file mode 100644 index 0d8d5591..00000000 --- a/rogue/ui/components/scenario_runner.py +++ /dev/null @@ -1,535 +0,0 @@ -import asyncio -import json -from typing import TYPE_CHECKING - -from loguru import logger -from pydantic import HttpUrl -from rogue_sdk import RogueClientConfig, RogueSDK -from rogue_sdk.types import ( - AgentConfig, - AuthType, - EvaluationRequest, - EvaluationResults, - Scenario, - Scenarios, -) - -from ...common.workdir_utils import dump_scenarios - -if TYPE_CHECKING: - from gradio import State, Tabs - -MAX_PARALLEL_RUNS = 10 - - -def split_into_batches(scenarios: list, n: int) -> list[list]: - if not scenarios: - return [] - if n <= 0: - raise ValueError("Number of batches must be positive.") - - # Calculate size of each batch - total = len(scenarios) - batch_size, remainder = divmod(total, n) - - batches = [] - start = 0 - for i in range(n): - # Add one extra item to early batches if there's remainder - end = start + batch_size + (1 if i < remainder else 0) - if start < total: # Only add non-empty batches - batches.append(scenarios[start:end]) - start = end - - return batches - - -def create_scenario_runner_screen(shared_state: "State", tabs_component: "Tabs"): - # gradio import takes a while, importing here to reduce startup time. - import gradio as gr - - with gr.Column(): - gr.Markdown("## Scenario Runner & Evaluator") - with gr.Accordion("scenarios to Run"): - scenarios_display = gr.Code( - language="json", - interactive=True, - ) - - output_components = [] - status_boxes = [] - chat_displays = [] - - for i in range(MAX_PARALLEL_RUNS): - with gr.Group(visible=False) as output_group: - with gr.Accordion(f"Run {i + 1}"): - status_box = gr.Textbox( - label=f"Execution Status (Run {i + 1})", - lines=2, - interactive=False, - ) - live_chat_display = gr.Chatbot( - label=f"Live Evaluation Chat (Run {i + 1})", - height=300, - type="messages", - ) - status_boxes.append(status_box) - chat_displays.append(live_chat_display) - output_components.append(output_group) - output_components.append(status_box) - output_components.append(live_chat_display) - - run_button = gr.Button("Run Scenarios") - - def update_scenarios_in_state( - scenarios_string, - state, - ): - try: - scenarios_json = json.loads( - scenarios_string, - ) - state["scenarios"] = Scenarios.model_validate(scenarios_json) - logger.info("Updated scenarios in state from editable code block.") - except json.JSONDecodeError: - logger.exception("Invalid JSON in scenarios input.") - gr.Warning("Could not save, invalid JSON format.") - return state - - scenarios_display.blur( - fn=update_scenarios_in_state, - inputs=[scenarios_display, shared_state], - outputs=[shared_state], - ) - - async def run_and_evaluate_scenarios(state): - logger.info("🚀 Starting to evaluate scenarios") - - # --- Create a list of "no-op" updates for all components --- - def get_blank_updates(): - return [gr.update() for _ in range(len(output_components) + 1)] - - # 1. --- Configuration and Validation --- - config = state.get("config", {}) - scenarios = state.get("scenarios") - - if scenarios is None: - logger.warning("No scenarios found in state") - gr.Warning("No scenarios found. Please generate scenarios first.") - return - - dump_scenarios(state, scenarios) - - scenarios = scenarios.scenarios - logger.info(f"Number of scenarios to run: {len(scenarios)}") - - # Hide all runners and clear values - initial_updates = get_blank_updates() - for i in range(MAX_PARALLEL_RUNS): - initial_updates[i * 3] = gr.update(visible=False) # Group - initial_updates[i * 3 + 1] = gr.update(value="", visible=True) # Status - initial_updates[i * 3 + 2] = gr.update(value=None, visible=True) # Chat - yield tuple(initial_updates) - - if not config or not scenarios: - logger.error("Missing config or scenarios") - gr.Warning("Config or scenarios not found. Please complete previous steps.") - return - - # 2. --- Setup Parallel Execution --- - parallel_runs = config.get("parallel_runs", 1) - logger.info(f"Setting up {parallel_runs} parallel runs") - scenario_batches = split_into_batches(scenarios, parallel_runs) - num_runners = len(scenario_batches) - logger.info(f"Created {num_runners} scenario batches") - logger.debug(f"Batch sizes: {[len(batch) for batch in scenario_batches]}") - - update_queue = asyncio.Queue() - - # Make the required number of runners visible - visibility_updates = get_blank_updates() - for i in range(num_runners): - visibility_updates[i * 3] = gr.update(visible=True) - # Add a test status message to see if updates work - visibility_updates[i * 3 + 1] = gr.update( - value=f"🔧 Initializing worker {i + 1}...", - ) - yield tuple(visibility_updates) - - # Add a small delay and test update to verify the UI update mechanism works - await asyncio.sleep(1) - test_updates = get_blank_updates() - for i in range(num_runners): - test_updates[i * 3 + 1] = gr.update( - value=f"✅ Worker {i + 1} ready, starting evaluation...", - ) - yield tuple(test_updates) - - # 3. --- Define and Run Worker Tasks --- - async def worker(batch: list[Scenario], worker_id: int): - logger.info(f"🔧 Starting worker {worker_id} with {len(batch)} scenarios") - worker_state = state.copy() - worker_config = worker_state.get("config", {}) - auth_type_val = worker_config.get("auth_type") - if isinstance(auth_type_val, str): - auth_type_val = AuthType(auth_type_val) - - try: - logger.info(f"Worker {worker_id}: Starting evaluation") - await _worker_with_sdk( - batch, - worker_id, - worker_config, - worker_state, - update_queue, - ) - logger.info( - f"Worker {worker_id}: evaluation completed successfully", - ) - - except Exception as e: - logger.exception(f"Error in worker {worker_id}") - await update_queue.put((worker_id, "status", f"Error: {e}")) - await update_queue.put((worker_id, "done", None)) - - async def _worker_with_sdk( - batch: list[Scenario], - worker_id: int, - worker_config: dict, - worker_state: dict, - update_queue: asyncio.Queue, - ): - """Worker with real-time WebSocket updates.""" - logger.info(f"🔌 Worker {worker_id}: Initializing connection") - sdk_config = RogueClientConfig( - base_url=HttpUrl( - worker_state.get("rogue_server_url", "http://localhost:8000"), - ), - timeout=600.0, - ) - sdk = RogueSDK(sdk_config) - - try: - # Check server health - logger.debug(f"Worker {worker_id}: Checking server health") - await sdk.health() - - await update_queue.put( - ( - worker_id, - "status", - f"Starting evaluation (batch size: {len(batch)})", - ), - ) - - agent_config = AgentConfig.model_validate(worker_config) - - # Create evaluation request - request = EvaluationRequest( - agent_config=agent_config, - scenarios=batch, - ) - - logger.info(f"Worker {worker_id}: Starting evaluation") - await update_queue.put( - ( - worker_id, - "status", - f"Starting evaluation (batch size: {len(batch)})", - ), - ) - - # Define chat callback - def on_chat_update(chat_data): - """Handle real-time chat updates from SDK""" - logger.info( - f"Worker {worker_id}: Received chat update: {chat_data}", - ) - # Use asyncio.create_task to schedule the async operation - asyncio.create_task( - update_queue.put( - ( - worker_id, - "chat", - { - "role": chat_data.get("role", "assistant"), - "content": chat_data.get("content", ""), - }, - ), - ), - ) - - # Define status callback - def on_status_update(status_data): - """Handle real-time status updates from SDK""" - # status_data is now a dict, not an EvaluationJob object - status = status_data.get("status", "unknown") - progress = status_data.get("progress", 0.0) - error_msg = status_data.get("error_message") - - logger.debug(f"Worker {worker_id}: Job status update: {status}") - - if error_msg: - status_msg = f"Status: {status} - {error_msg}" - else: - status_msg = f"Status: {status} (progress: {progress:.1%})" - - # Use asyncio.create_task to schedule the async operation - asyncio.create_task( - update_queue.put((worker_id, "status", status_msg)), - ) - - # Run evaluation with real-time updates - try: - final_job = await sdk.run_evaluation_with_updates( - request=request, - on_update=on_status_update, - on_chat=on_chat_update, - timeout=3600.0, - ) - - if final_job is None: - # Handle case where final job retrieval failed - logger.error( - f"Worker {worker_id}: Failed to get final job results", - ) - await update_queue.put( - ( - worker_id, - "chat", - { - "role": "assistant", - "content": ( - "❌ Evaluation failed for worker " - f"{worker_id + 1}: Could not retrieve " - "final results" - ), - }, - ), - ) - await update_queue.put( - (worker_id, "status", "Failed: Could not retrieve results"), - ) - await update_queue.put((worker_id, "done", None)) - return - - logger.info( - ( - f"Worker {worker_id}: Evaluation completed with " - f"status: {final_job.status}", - ), - ) - - if final_job.status == "completed" and final_job.results: - await update_queue.put( - ( - worker_id, - "chat", - { - "role": "assistant", - "content": ( - "✅ Evaluation completed for worker " - f"{worker_id + 1}!" - ), - }, - ), - ) - # Wrap the list of results in EvaluationResults - results = EvaluationResults(results=final_job.results or []) - await update_queue.put((worker_id, "done", results)) - elif final_job.status == "failed": - error_msg = final_job.error_message or "Unknown error" - await update_queue.put( - ( - worker_id, - "chat", - { - "role": "assistant", - "content": ( - "❌ Evaluation failed for worker " - f"{worker_id + 1}: {error_msg}" - ), - }, - ), - ) - await update_queue.put( - (worker_id, "status", f"Failed: {error_msg}"), - ) - await update_queue.put((worker_id, "done", None)) - else: - await update_queue.put( - (worker_id, "status", f"Evaluation {final_job.status}"), - ) - await update_queue.put((worker_id, "done", None)) - - except Exception as eval_error: - logger.exception(f"evaluation failed for worker {worker_id}") - error_msg = str(eval_error) - - # Provide user-friendly error messages - if "validation error" in error_msg.lower(): - user_error = ( - "Configuration error: Please check your evaluation settings" - ) - elif "connection" in error_msg.lower(): - user_error = ( - "Connection error: Cannot reach the evaluation " - "server or agent" - ) - elif "timeout" in error_msg.lower(): - user_error = "Timeout error: Evaluation took too long" - else: - user_error = f"Evaluation error: {error_msg}" - - await update_queue.put( - ( - worker_id, - "chat", - { - "role": "assistant", - "content": ( - "❌ Worker " f"{worker_id + 1} failed: {user_error}" - ), - }, - ), - ) - await update_queue.put( - (worker_id, "status", f"Error: {user_error}"), - ) - await update_queue.put((worker_id, "done", None)) - - finally: - await sdk.close() - - # Create and start worker tasks - logger.info(f"🚀 Creating {len(scenario_batches)} worker tasks") - worker_tasks = [] - for i, batch in enumerate(scenario_batches): - logger.debug(f"Creating task for worker {i} with batch size {len(batch)}") - task = asyncio.create_task(worker(batch, i)) - worker_tasks.append(task) - logger.info(f"All {len(worker_tasks)} worker tasks created and started") - - # 4. --- Process Updates from Queue --- - logger.info(f"📥 Starting update processing loop for {num_runners} workers") - finished_workers = 0 - all_results = EvaluationResults() - worker_histories = [[] for _ in range(num_runners)] - - while finished_workers < num_runners: - logger.debug( - ( - "Waiting for update from queue... " - f"({finished_workers}/{num_runners} finished)" - ), - ) - worker_id, update_type, data = await update_queue.get() - logger.info( - ( - f"📨 Received update: worker_id={worker_id}, " - f"type={update_type}, data_preview={str(data)[:100]}" - ), - ) - - updates = get_blank_updates() - if update_type == "status": - logger.info(f"📊 Status update for worker {worker_id}: {data}") - updates[worker_id * 3 + 1] = gr.update(value=data) - logger.debug( - f"Status update prepared for component index {worker_id * 3 + 1}", - ) - elif update_type == "chat": - logger.info(f"📨 Received chat update: {data['role']}") - role = "user" if data["role"] == "Rogue" else "assistant" - chat_message = {"role": role, "content": data["content"]} - worker_histories[worker_id].append(chat_message) - logger.info( - ( - f"💬 Adding chat message for worker {worker_id}: " - f"role={role}, content={data['content'][:50]}..." - ), - ) - logger.debug( - ( - f"Worker {worker_id} chat history now has " - f"{len(worker_histories[worker_id])} messages" - ), - ) - updates[worker_id * 3 + 2] = gr.update( - value=worker_histories[worker_id], - ) - logger.debug( - f"Chat update prepared for component index {worker_id * 3 + 2}", - ) - elif update_type == "done": - finished_workers += 1 - logger.info( - f"✅ Worker {worker_id} finished ({finished_workers}/{num_runners})", - ) - if data: - all_results.combine(data) - logger.debug(f"Combined results from worker {worker_id}") - updates[worker_id * 3 + 1] = gr.update( - value="Finished.", - interactive=False, - ) - - logger.debug(f"Yielding {len(updates)} updates to UI") - yield tuple(updates) - - # 5. --- Finalize and Summarize --- - logger.info("All evaluation runs completed.") - # workdir = state.get("workdir") - - # final_output_path = ( - # workdir / f"evaluation_results_{datetime.now().isoformat()}.json" - # ) - # final_output_path.write_text(all_results.model_dump_json(indent=2)) - - # Generate summary using SDK (server-based) - summary = "Summary generation failed." - try: - sdk_config = RogueClientConfig( - base_url=state.get("rogue_server_url", "http://localhost:8000"), - timeout=600.0, - ) - sdk = RogueSDK(sdk_config) - - summary, structured_summary = await sdk.generate_summary( - results=all_results, - model=config.get("service_llm"), - api_key=config.get("judge_llm_api_key"), - qualifire_api_key=config.get("qualifire_api_key"), - deep_test=config.get("deep_test_mode", False), - judge_model=config.get("judge_llm"), - ) - - state["structured_summary"] = structured_summary - - await sdk.close() - except Exception: - logger.exception("Summary generation failed") - - state["results"] = all_results - state["summary"] = summary - # state["evaluation_results_output_path"] = final_output_path - - final_ui_update = get_blank_updates() - final_ui_update[-1] = gr.update(selected="report") - yield tuple(final_ui_update) - - async def logged_run_and_evaluate_scenarios(state): - logger.info("🔴 Run button clicked!") - logger.debug( - f"Button click state keys: {list(state.keys()) if state else 'None'}", - ) - async for update in run_and_evaluate_scenarios(state): - yield update - - run_button.click( - fn=logged_run_and_evaluate_scenarios, - inputs=[shared_state], - outputs=output_components + [tabs_component], - ) - - return scenarios_display, run_button diff --git a/rogue/ui/config/__init__.py b/rogue/ui/config/__init__.py deleted file mode 100644 index 3d10a7ee..00000000 --- a/rogue/ui/config/__init__.py +++ /dev/null @@ -1,2 +0,0 @@ -from . import settings -from . import theme diff --git a/rogue/ui/config/settings.py b/rogue/ui/config/settings.py deleted file mode 100644 index e69de29b..00000000 diff --git a/rogue/ui/config/theme.py b/rogue/ui/config/theme.py deleted file mode 100644 index 230a4c53..00000000 --- a/rogue/ui/config/theme.py +++ /dev/null @@ -1,56 +0,0 @@ -from typing import TYPE_CHECKING - -if TYPE_CHECKING: - from gradio.themes import ThemeClass - - -def get_theme() -> "ThemeClass": - # gradio import takes a while, importing here to reduce startup time. - from gradio.themes import Color, GoogleFont, Soft - - return Soft( - primary_hue=Color( - c50="#ECE9FB", - c100="#ECE9FB", - c200="#ECE9FB", - c300="#6B63BF", - c400="#494199", - c500="#A5183A", - c600="#332E68", - c700="#272350", - c800="#201E44", - c900="#1C1A3D", - c950="#100F24", - ), - secondary_hue=Color( - c50="#ECE9FB", - c100="#ECE9FB", - c200="#ECE9FB", - c300="#6B63BF", - c400="#494199", - c500="#494199", - c600="#332E68", - c700="#272350", - c800="#201E44", - c900="#1C1A3D", - c950="#100F24", - ), - neutral_hue=Color( - c50="#ECE9FB", - c100="#ECE9FB", - c200="#ECE9FB", - c300="#6B63BF", - c400="#494199", - c500="#494199", - c600="#332E68", - c700="#272350", - c800="#201E44", - c900="#1C1A3D", - c950="#100F24", - ), - font=[ - GoogleFont("Mulish"), - "Arial", - "sans-serif", - ], - ) diff --git a/rogue/ui/models/__init__.py b/rogue/ui/models/__init__.py deleted file mode 100644 index f801705f..00000000 --- a/rogue/ui/models/__init__.py +++ /dev/null @@ -1,2 +0,0 @@ -from . import interview -from . import results diff --git a/rogue/ui/models/interview.py b/rogue/ui/models/interview.py deleted file mode 100644 index f60c4646..00000000 --- a/rogue/ui/models/interview.py +++ /dev/null @@ -1,25 +0,0 @@ -from typing import List, Dict, Any -from pydantic import BaseModel - - -class InterviewResponse(BaseModel): - question_id: str - question_text: str - user_response: str - extracted_entities: Dict[str, Any] - confidence_score: float - - -class BusinessContext(BaseModel): - domain: str - use_cases: List[str] - user_types: List[str] - data_formats: List[str] - success_criteria: List[str] - edge_cases: List[str] - integration_points: List[str] - - -class Conversation(BaseModel): - history: List[InterviewResponse] - business_context: BusinessContext diff --git a/rogue/ui/models/results.py b/rogue/ui/models/results.py deleted file mode 100644 index 3756f483..00000000 --- a/rogue/ui/models/results.py +++ /dev/null @@ -1,41 +0,0 @@ -from enum import Enum -from typing import List, Optional -from datetime import datetime -from pydantic import BaseModel - - -class ExecutionStatus(Enum): - PENDING = "pending" - RUNNING = "running" - COMPLETED = "completed" - FAILED = "failed" - CANCELLED = "cancelled" - - -class A2AMessage(BaseModel): - # Placeholder for A2A message structure - content: str - - -class AgentResponse(BaseModel): - # Placeholder for Agent response structure - content: str - - -class EvaluationResult(BaseModel): - criterion: str - score: float - max_score: float - reasoning: str - evidence: List[str] - - -class TestExecution(BaseModel): - execution_id: str - scenario_id: str - start_time: datetime - end_time: Optional[datetime] = None - status: ExecutionStatus - a2a_messages: List[A2AMessage] - agent_responses: List[AgentResponse] - evaluation_results: List[EvaluationResult] diff --git a/uv.lock b/uv.lock index e29b661a..36be71a3 100644 --- a/uv.lock +++ b/uv.lock @@ -46,15 +46,6 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/66/2b/cbabfb3d34e5b43b5f54d75fa0dfec6f6c8eab1bdd8ae04788c0626b941c/add_trailing_comma-3.2.0-py2.py3-none-any.whl", hash = "sha256:e88c66d0172754cc31998440a040d8c67a47d9ec488a0b83681b28a257fa88ab", size = 15361, upload-time = "2025-05-23T23:52:25.356Z" }, ] -[[package]] -name = "aiofiles" -version = "24.1.0" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/0b/03/a88171e277e8caa88a4c77808c20ebb04ba74cc4681bf1e9416c862de237/aiofiles-24.1.0.tar.gz", hash = "sha256:22a075c9e5a3810f0c2e48f3008c94d68c65d763b9b03857924c99e57355166c", size = 30247, upload-time = "2024-06-24T11:02:03.584Z" } -wheels = [ - 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