diff --git a/.gitignore b/.gitignore index 71685b3..bb34145 100644 --- a/.gitignore +++ b/.gitignore @@ -9,4 +9,17 @@ python/agent/langgraph-fsi-agent/after/script.py python/chatbot/sample-project-chatbot/openai-ollama/script.py */dist *dist +application.properties +*.pdf +# Next.js +.next/ + +# Java / Maven +target/ + +# Node +node_modules/ + +# MacOS +.DS_Store diff --git a/java/README.md b/java/README.md new file mode 100644 index 0000000..6dea501 --- /dev/null +++ b/java/README.md @@ -0,0 +1,264 @@ +# Galileo Chatbot + +A full-stack chatbot application with a Java Spring Boot backend and Next.js frontend, supporting multiple AI providers including Azure OpenAI and Mistral AI, with integrated RAG (Retrieval Augmented Generation) capabilities and Galileo observability for monitoring and logging all interactions. + +## Architecture + +- **Backend**: Java Spring Boot (port 8080) +- **Frontend**: Next.js with React (port 3000) +- **AI Services**: + - Azure OpenAI (GPT-5-nano) + - Mistral AI (mistral-medium, mistral-small, mistral-tiny, mistral-large-latest) +- **RAG (Retrieval Augmented Generation)**: In-memory vector store with semantic search using Mistral embeddings (with automatic fallback to Azure OpenAI on rate limits) +- **Observability**: Galileo AI v2 API for session management, trace logging, and Protect security checks +- **Security**: Galileo Protect integration for input/output validation and content moderation + +## Prerequisites + +- Java 17 or higher +- Maven 3.6+ +- Node.js 18+ and npm +- Azure OpenAI account with GPT-5-nano deployment (for Azure provider) +- Mistral AI API key (for Mistral provider) - Get one at [https://console.mistral.ai/](https://console.mistral.ai/) +- Galileo AI account with API key, project ID, and log stream ID (for observability) - Get one at [https://console.galileo.ai/](https://console.galileo.ai/) + +## Setup Instructions + +### 1. Backend Setup + +1. Configure AI provider credentials in `src/main/resources/application.properties`: + + **Azure OpenAI Configuration:** + ```properties + azure.openai.endpoint=https://YOUR_RESOURCE_NAME.openai.azure.com + azure.openai.api-key=YOUR_API_KEY + azure.openai.deployment-name=gpt-5-nano + azure.openai.embedding-deployment-name=text-embedding-ada-002 + ``` + + Note: The embedding deployment is used as a fallback for RAG functionality when Mistral embeddings hit rate limits. + + **Mistral AI Configuration:** + ```properties + mistral.api-key=YOUR_MISTRAL_API_KEY + mistral.model=mistral-medium + ``` + + Available Mistral models: + - `mistral-tiny` (fastest, cheapest) + - `mistral-small` + - `mistral-medium` (default) + - `mistral-large-latest` (most capable) + + **Galileo AI Configuration (Optional but recommended):** + ```properties + galileo.api-key=YOUR_GALILEO_API_KEY + galileo.api-url=https://api.demo-v2.galileocloud.io/ + galileo.project-name=YOUR_PROJECT_NAME + galileo.project-id=YOUR_PROJECT_ID + galileo.log-stream-id=YOUR_LOG_STREAM_ID + galileo.stage-name=YOUR_STAGE_NAME + galileo.stage-id=YOUR_STAGE_ID + galileo.stage-version=0 + ``` + + Note: + - If Galileo logging is not configured, the application will run without observability logging + - If Galileo Protect is not configured (missing `stage-name`), Protect checks will be skipped + - To get your project ID and log stream ID: + 1. Log into your Galileo console + 2. Navigate to your project + 3. Create or select a log stream + 4. Copy the project ID and log stream ID from the URLs or project settings + - To configure Protect, create a stage in the Galileo console and copy the stage name and ID + +2. Build and run the backend: + ```bash + mvn clean install + mvn spring-boot:run + ``` + + The backend will start on `http://localhost:8080` + +### 2. Frontend Setup + +1. Navigate to the frontend directory: + ```bash + cd frontend + ``` + +2. Install dependencies: + ```bash + npm install + ``` + +3. Run the development server: + ```bash + npm run dev + ``` + + The frontend will start on `http://localhost:3000` + +## Usage + +1. Start the backend server (port 8080) + - A Galileo session will be automatically created when the app starts + - Check the console logs for "Galileo session created with ID: ..." +2. Start the frontend server (port 3000) +3. Open `http://localhost:3000` in your browser +4. Select your preferred AI provider (Azure OpenAI or Mistral AI) from the dropdown +5. Start chatting with the Galileo Chatbot! + - Every input/output pair is automatically logged to Galileo as a trace + - All traces are grouped under the same session + - Responses are limited to 30 words or less + - The chatbot uses RAG to retrieve relevant context from ingested documents +6. When you shut down the app, the session will be automatically closed + +### Request Flow + +For each chat message, the following steps occur: + +1. **Document Retrieval** (RAG) + - Query is embedded using Mistral embeddings (or Azure if rate limited) + - Top 3 most relevant document chunks are retrieved via cosine similarity + - Retriever span is created and logged + +2. **LLM Call** + - Retrieved context is added to the system prompt + - Chat completion is requested from the selected provider (Azure or Mistral) + - LLM span is created and logged + +3. **Protect Output Check** + - LLM response is validated by Galileo Protect + - Checks for prompt injection, PII, and context adherence + - If violations detected, response is overridden with safe message + - Original response is preserved in metadata + - Protect tool span is created and logged + +4. **Trace Logging** + - All spans (retriever, LLM, Protect) are logged together as a single trace + - Trace includes metadata: tokens, duration, probabilities, etc. + +### RAG Features + +- **Pre-loaded Document**: The knowledge base comes with the AI EU Act summary document loaded from `ai_eu_act_summary.pdf` in the resources folder +- **Semantic Search**: The chatbot automatically retrieves the top 3 most relevant document chunks for each query +- **Context-Aware Responses**: Retrieved context is included in the system prompt to provide accurate, relevant answers +- **30-Word Limit**: All responses are constrained to 30 words or less for concise answers +- **Embedding Service**: Uses Mistral `mistral-embed` model for generating embeddings +- **Automatic Fallback**: If Mistral embeddings hit rate limits (429), automatically falls back to Azure OpenAI embeddings + +### Observability Features + +- **Automatic Session Management**: A new session is created when the app starts and closed when it shuts down + - Sessions are protected against duplicate creation (e.g., from Spring DevTools auto-restart) + - One session per application lifecycle +- **Trace Logging**: Every chat interaction (input/output pair) is logged as a separate trace to Galileo +- **Session Grouping**: All traces within an app session are grouped together for easy analysis +- **Span Hierarchy**: Each trace includes child spans in the following order: + 1. **Retriever Span**: Document retrieval step (independent, created first) + 2. **LLM Span**: Chat completion call + 3. **Protect Tool Span**: Security/content moderation check (output validation) +- **Metadata Tracking**: Each trace includes: + - Input and output content + - Provider (Azure OpenAI or Mistral AI) + - Model name + - Token counts (estimated) + - Duration in nanoseconds + - Timestamp + - Original LLM response (if Protect overrides the output) + - Protect probability scores (context adherence, etc.) + +### Security Features (Galileo Protect) + +- **Output Validation**: All LLM responses are checked by Galileo Protect before being returned to the user +- **Content Moderation**: Protect checks for: + - Prompt injection attempts + - PII (Personally Identifiable Information) in inputs + - Context adherence (ensuring responses align with retrieved documents) +- **Automatic Override**: If Protect detects violations, the response is replaced with a safe override message +- **Original Response Preservation**: The original LLM response is preserved in metadata even when overridden +- **Tool Span Logging**: Each Protect invocation is logged as a tool span with: + - Request payload (input, output, context) + - Response status and metrics + - Probability scores + - Override actions taken + +## API Endpoints + +### POST `/api/chat` + +Send a chat message to the bot. + +**Request Body:** +```json +{ + "message": "Hello, how are you?", + "history": ["previous messages..."], + "provider": "azure" +} +``` + +**Parameters:** +- `message` (required): The user's message +- `history` (optional): Array of previous conversation messages for context +- `provider` (optional): AI provider to use - `"azure"` or `"mistral"` (defaults to `"azure"`) + +**Response:** +```json +{ + "response": "I'm doing well, thank you for asking!" +} +``` + +## Project Structure + +``` +. +├── src/ +│ └── main/ +│ ├── java/com/chatbot/ +│ │ ├── ChatbotApplication.java +│ │ ├── config/ +│ │ │ ├── WebConfig.java +│ │ │ ├── GalileoSessionManager.java +│ │ │ └── DocumentInitializer.java +│ │ ├── controller/ +│ │ │ └── ChatController.java +│ │ ├── service/ +│ │ │ ├── AzureOpenAIService.java +│ │ │ ├── MistralService.java +│ │ │ ├── GalileoService.java +│ │ │ ├── EmbeddingService.java +│ │ │ ├── VectorStoreService.java +│ │ │ └── DocumentService.java +│ │ └── dto/ +│ │ ├── ChatRequest.java +│ │ ├── ChatResponse.java +│ │ └── ChatCompletionResult.java +│ └── resources/ +│ └── application.properties +├── frontend/ +│ ├── app/ +│ │ ├── components/ +│ │ │ └── ChatInterface.tsx +│ │ ├── layout.tsx +│ │ ├── page.tsx +│ │ └── globals.css +│ ├── package.json +│ └── tsconfig.json +└── pom.xml +``` + +## Technologies Used + +- **Backend**: Spring Boot, Azure OpenAI SDK, RestTemplate (for Mistral AI and Galileo API) +- **Frontend**: Next.js 14, React 18, TypeScript +- **Build Tools**: Maven, npm +- **AI Providers**: Azure OpenAI, Mistral AI +- **RAG**: In-memory vector store with cosine similarity search, Mistral embeddings (with Azure OpenAI fallback) +- **Observability**: Galileo AI v2 API for session management, trace logging, and Protect security checks +- **Security**: Galileo Protect for content moderation and output validation +- **PDF Processing**: Apache PDFBox for document text extraction +- **JSON Processing**: Jackson (ObjectMapper) for API response parsing + diff --git a/java/frontend/app/components/ChatInterface.tsx b/java/frontend/app/components/ChatInterface.tsx new file mode 100644 index 0000000..d8d0977 --- /dev/null +++ b/java/frontend/app/components/ChatInterface.tsx @@ -0,0 +1,321 @@ +'use client' + +import { useState, useRef, useEffect } from 'react' + +interface Message { + role: 'user' | 'assistant' + content: string +} + +export default function ChatInterface() { + const [messages, setMessages] = useState([]) + const [input, setInput] = useState('') + const [isLoading, setIsLoading] = useState(false) + const [provider, setProvider] = useState<'azure' | 'mistral'>('azure') + const messagesEndRef = useRef(null) + + const scrollToBottom = () => { + messagesEndRef.current?.scrollIntoView({ behavior: 'smooth' }) + } + + useEffect(() => { + scrollToBottom() + }, [messages]) + + const sendMessage = async () => { + if (!input.trim() || isLoading) return + + const userMessage = input.trim() + setInput('') + setMessages((prev) => [...prev, { role: 'user', content: userMessage }]) + setIsLoading(true) + + try { + // Build conversation history + const history: string[] = [] + messages.forEach((msg) => { + history.push(msg.content) + }) + history.push(userMessage) + + const response = await fetch('http://localhost:8080/api/chat', { + method: 'POST', + headers: { + 'Content-Type': 'application/json', + }, + body: JSON.stringify({ + message: userMessage, + history: history, + provider: provider, + }), + }) + + if (!response.ok) { + throw new Error('Failed to get response') + } + + const data = await response.json() + setMessages((prev) => [ + ...prev, + { role: 'assistant', content: data.response }, + ]) + } catch (error) { + console.error('Error sending message:', error) + setMessages((prev) => [ + ...prev, + { + role: 'assistant', + content: 'Sorry, I encountered an error. Please try again.', + }, + ]) + } finally { + setIsLoading(false) + } + } + + const handleKeyPress = (e: React.KeyboardEvent) => { + if (e.key === 'Enter' && !e.shiftKey) { + e.preventDefault() + sendMessage() + } + } + + return ( +
+
+
+

Galileo Chatbot

+

+ Powered by {provider === 'azure' ? 'Azure OpenAI' : 'Mistral AI'} +

+
+ +
+ {messages.length === 0 && ( +
+

Hello! How can I help you today?

+
+ )} + {messages.map((message, index) => ( +
+
{message.content}
+
+ ))} + {isLoading && ( +
+
+ Thinking... +
+
+ )} +
+
+ +
+ setInput(e.target.value)} + onKeyPress={handleKeyPress} + placeholder="Type your message..." + style={styles.input} + disabled={isLoading} + /> + +
+
+ Azure + + Mistral +
+
+
+ ) +} + +const styles: { [key: string]: React.CSSProperties } = { + container: { + width: '100%', + maxWidth: '800px', + height: '90vh', + display: 'flex', + flexDirection: 'column', + }, + chatBox: { + backgroundColor: 'white', + borderRadius: '20px', + boxShadow: '0 20px 60px rgba(0, 0, 0, 0.3)', + display: 'flex', + flexDirection: 'column', + height: '100%', + overflow: 'hidden', + }, + header: { + padding: '24px', + borderBottom: '1px solid #e5e7eb', + backgroundColor: '#f9fafb', + }, + title: { + fontSize: '24px', + fontWeight: 'bold', + color: '#111827', + margin: 0, + marginBottom: '4px', + }, + toggleContainer: { + display: 'flex', + alignItems: 'center', + gap: '12px', + justifyContent: 'center', + padding: '12px 20px', + borderTop: '1px solid #e5e7eb', + backgroundColor: '#f9fafb', + }, + toggleLabel: { + fontSize: '14px', + fontWeight: '500', + color: '#6b7280', + }, + toggleSwitch: { + position: 'relative', + display: 'inline-block', + width: '50px', + height: '26px', + cursor: 'pointer', + }, + toggleInput: { + opacity: 0, + width: 0, + height: 0, + }, + toggleSlider: { + position: 'absolute', + top: 0, + left: 0, + right: 0, + bottom: 0, + backgroundColor: '#d1d5db', + transition: '0.3s', + borderRadius: '26px', + cursor: 'pointer', + }, + toggleSliderButton: { + position: 'absolute', + content: '""', + height: '20px', + width: '20px', + left: '3px', + bottom: '3px', + backgroundColor: 'white', + transition: '0.3s', + borderRadius: '50%', + boxShadow: '0 2px 4px rgba(0, 0, 0, 0.2)', + }, + subtitle: { + fontSize: '14px', + color: '#6b7280', + }, + messagesContainer: { + flex: 1, + overflowY: 'auto', + padding: '20px', + display: 'flex', + flexDirection: 'column', + gap: '16px', + }, + welcomeMessage: { + textAlign: 'center', + color: '#6b7280', + padding: '40px 20px', + fontSize: '16px', + }, + message: { + maxWidth: '75%', + padding: '12px 16px', + borderRadius: '18px', + wordWrap: 'break-word', + }, + userMessage: { + alignSelf: 'flex-end', + backgroundColor: '#667eea', + color: 'white', + }, + assistantMessage: { + alignSelf: 'flex-start', + backgroundColor: '#f3f4f6', + color: '#111827', + }, + messageContent: { + fontSize: '15px', + lineHeight: '1.5', + }, + loading: { + fontStyle: 'italic', + color: '#6b7280', + }, + inputContainer: { + display: 'flex', + padding: '20px', + borderTop: '1px solid #e5e7eb', + gap: '12px', + backgroundColor: '#f9fafb', + }, + input: { + flex: 1, + padding: '12px 16px', + border: '1px solid #d1d5db', + borderRadius: '12px', + fontSize: '15px', + outline: 'none', + transition: 'border-color 0.2s', + }, + sendButton: { + padding: '12px 24px', + backgroundColor: '#667eea', + color: 'white', + border: 'none', + borderRadius: '12px', + fontSize: '15px', + fontWeight: '600', + cursor: 'pointer', + transition: 'background-color 0.2s', + }, + sendButtonDisabled: { + backgroundColor: '#d1d5db', + cursor: 'not-allowed', + }, +} + diff --git a/java/frontend/app/globals.css b/java/frontend/app/globals.css new file mode 100644 index 0000000..13017b3 --- /dev/null +++ b/java/frontend/app/globals.css @@ -0,0 +1,26 @@ +* { + box-sizing: border-box; + padding: 0; + margin: 0; +} + +html, +body { + max-width: 100vw; + overflow-x: hidden; + font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', 'Roboto', 'Oxygen', + 'Ubuntu', 'Cantarell', 'Fira Sans', 'Droid Sans', 'Helvetica Neue', + sans-serif; + -webkit-font-smoothing: antialiased; + -moz-osx-font-smoothing: grayscale; +} + +body { + background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); + min-height: 100vh; + display: flex; + justify-content: center; + align-items: center; + padding: 20px; +} + diff --git a/java/frontend/app/layout.tsx b/java/frontend/app/layout.tsx new file mode 100644 index 0000000..931b5b5 --- /dev/null +++ b/java/frontend/app/layout.tsx @@ -0,0 +1,20 @@ +import type { Metadata } from 'next' +import './globals.css' + +export const metadata: Metadata = { + title: 'Galileo Chatbot', + description: 'Galileo Chatbot powered by Azure OpenAI', +} + +export default function RootLayout({ + children, +}: { + children: React.ReactNode +}) { + return ( + + {children} + + ) +} + diff --git a/java/frontend/app/page.tsx b/java/frontend/app/page.tsx new file mode 100644 index 0000000..b8b2d46 --- /dev/null +++ b/java/frontend/app/page.tsx @@ -0,0 +1,13 @@ +'use client' + +import { useState } from 'react' +import ChatInterface from './components/ChatInterface' + +export default function Home() { + return ( +
+ +
+ ) +} + diff --git a/java/frontend/next-env.d.ts b/java/frontend/next-env.d.ts new file mode 100644 index 0000000..40c3d68 --- /dev/null +++ b/java/frontend/next-env.d.ts @@ -0,0 +1,5 @@ +/// +/// + +// NOTE: This file should not be edited +// see https://nextjs.org/docs/app/building-your-application/configuring/typescript for more information. diff --git a/java/frontend/next.config.js b/java/frontend/next.config.js new file mode 100644 index 0000000..159d810 --- /dev/null +++ b/java/frontend/next.config.js @@ -0,0 +1,7 @@ +/** @type {import('next').NextConfig} */ +const nextConfig = { + reactStrictMode: true, +} + +module.exports = nextConfig + diff --git a/java/frontend/package-lock.json b/java/frontend/package-lock.json new file mode 100644 index 0000000..54b1f41 --- /dev/null +++ b/java/frontend/package-lock.json @@ -0,0 +1,5391 @@ +{ + "name": "chatbot-frontend", + "version": "0.1.0", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "name": 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"eslint-config-next": "^14.0.0" + } +} + diff --git a/java/frontend/tsconfig.json b/java/frontend/tsconfig.json new file mode 100644 index 0000000..addc7c3 --- /dev/null +++ b/java/frontend/tsconfig.json @@ -0,0 +1,28 @@ +{ + "compilerOptions": { + "target": "es5", + "lib": ["dom", "dom.iterable", "esnext"], + "allowJs": true, + "skipLibCheck": true, + "strict": true, + "noEmit": true, + "esModuleInterop": true, + "module": "esnext", + "moduleResolution": "bundler", + "resolveJsonModule": true, + "isolatedModules": true, + "jsx": "preserve", + "incremental": true, + "plugins": [ + { + "name": "next" + } + ], + "paths": { + "@/*": ["./*"] + } + }, + "include": ["next-env.d.ts", "**/*.ts", "**/*.tsx", ".next/types/**/*.ts"], + "exclude": ["node_modules"] +} + diff --git a/java/package-lock.json b/java/package-lock.json new file mode 100644 index 0000000..4645855 --- /dev/null +++ b/java/package-lock.json @@ -0,0 +1,6 @@ +{ + "name": "demo-galileo-with-java", + "lockfileVersion": 3, + "requires": true, + "packages": {} +} diff --git a/java/pom.xml b/java/pom.xml new file mode 100644 index 0000000..117c0e5 --- /dev/null +++ b/java/pom.xml @@ -0,0 +1,95 @@ + + + 4.0.0 + + + org.springframework.boot + spring-boot-starter-parent + 3.2.0 + + + + com + chatbot-app + 1.0.0 + Chatbot Application + Java chatbot application with Azure OpenAI integration + + + 17 + 17 + 17 + UTF-8 + + + + + + org.springframework.boot + spring-boot-starter-web + + + + + com.azure + azure-core + 1.47.0 + + + + + com.azure + azure-ai-openai + 1.0.0-beta.7 + + + + + org.springframework.boot + spring-boot-devtools + runtime + true + + + + + org.projectlombok + lombok + true + + + + + org.springframework.boot + spring-boot-starter-test + test + + + + + org.apache.pdfbox + pdfbox + 2.0.29 + + + + + + + org.springframework.boot + spring-boot-maven-plugin + + + + org.projectlombok + lombok + + + + + + + diff --git a/java/protect_stage_setup/create_stage b/java/protect_stage_setup/create_stage new file mode 100644 index 0000000..972d809 --- /dev/null +++ b/java/protect_stage_setup/create_stage @@ -0,0 +1,86 @@ +curl -X POST \ + 'https://api.{YOUR_APP_NAME}.galileocloud.io/projects/{PROJECT_ID}/stages' \ + -H 'accept: application/json' \ + -H 'Galileo-API-Key: API_KEY' \ + -H 'Content-Type: application/json' \ + -d '{ + "project_id": "PROJECT_ID", + "name": "STAGE_NAME", + "description": "stage for adding protect", + "type": "central", + "paused": false, + "prioritized_rulesets": [ + { + "description": "override on prompt injection: obfuscation", + "rules": [ + { + "metric": "prompt_injection", + "operator": "eq", + "target_value": "obfuscation" + } + ], + "action": { + "type": "OVERRIDE", + "subscriptions": [ + { + "statuses": ["triggered"], + "url": "https://example.com/", + "method": "POST" + } + ], + "choices": [ + "Galileo Protect has detected suspicious content.", + "Galileo Protect has blocked this request." + ] + } + }, + { + "description": "override on input PII: email", + "rules": [ + { + "metric": "input_pii", + "operator": "any", + "target_value": ["email"] + } + ], + "action": { + "type": "OVERRIDE", + "subscriptions": [ + { + "statuses": ["triggered"], + "url": "https://example.com/", + "method": "POST" + } + ], + "choices": [ + "Galileo Protect has detected suspicious content.", + "Galileo Protect has blocked this request." + ] + } + }, + { + "description": "override on low context adherence", + "rules": [ + { + "metric": "context_adherence_luna", + "operator": "lt", + "target_value": 0.9 + } + ], + "action": { + "type": "OVERRIDE", + "subscriptions": [ + { + "statuses": ["triggered"], + "url": "https://example.com/", + "method": "POST" + } + ], + "choices": [ + "Galileo Protect has detected suspicious content.", + "Galileo Protect has blocked this request." + ] + } + } + ] + }' diff --git a/java/src/main/java/com/chatbot/ChatbotApplication.java b/java/src/main/java/com/chatbot/ChatbotApplication.java new file mode 100644 index 0000000..154c65d --- /dev/null +++ b/java/src/main/java/com/chatbot/ChatbotApplication.java @@ -0,0 +1,12 @@ +package com.chatbot; + +import org.springframework.boot.SpringApplication; +import org.springframework.boot.autoconfigure.SpringBootApplication; + +@SpringBootApplication +public class ChatbotApplication { + public static void main(String[] args) { + SpringApplication.run(ChatbotApplication.class, args); + } +} + diff --git a/java/src/main/java/com/chatbot/config/DocumentInitializer.java b/java/src/main/java/com/chatbot/config/DocumentInitializer.java new file mode 100644 index 0000000..a2a0aed --- /dev/null +++ b/java/src/main/java/com/chatbot/config/DocumentInitializer.java @@ -0,0 +1,47 @@ +package com.chatbot.config; + +import com.chatbot.service.DocumentService; +import org.apache.pdfbox.pdmodel.PDDocument; +import org.apache.pdfbox.text.PDFTextStripper; +import org.springframework.beans.factory.annotation.Autowired; +import org.springframework.boot.CommandLineRunner; +import org.springframework.core.io.ClassPathResource; +import org.springframework.stereotype.Component; + +import java.io.ByteArrayInputStream; +import java.io.InputStream; + +@Component +public class DocumentInitializer implements CommandLineRunner { + + @Autowired + private DocumentService documentService; + + @Override + public void run(String... args) throws Exception { + // Load AI EU Act summary from PDF + try { + ClassPathResource resource = new ClassPathResource("ai_eu_act_summary.pdf"); + String aiEuActText = extractTextFromPdf(resource.getInputStream()); + if (aiEuActText != null && !aiEuActText.trim().isEmpty()) { + documentService.addDocument(aiEuActText); + System.out.println("Loaded AI EU Act summary from PDF into vector store"); + } else { + System.err.println("Warning: PDF file is empty or could not be read"); + } + } catch (Exception e) { + System.err.println("Error loading AI EU Act PDF: " + e.getMessage()); + e.printStackTrace(); + } + } + + private String extractTextFromPdf(InputStream inputStream) throws Exception { + byte[] pdfBytes = inputStream.readAllBytes(); + try (ByteArrayInputStream bis = new ByteArrayInputStream(pdfBytes); + PDDocument document = PDDocument.load(bis)) { + PDFTextStripper stripper = new PDFTextStripper(); + return stripper.getText(document); + } + } +} + diff --git a/java/src/main/java/com/chatbot/config/GalileoSessionManager.java b/java/src/main/java/com/chatbot/config/GalileoSessionManager.java new file mode 100644 index 0000000..a976efe --- /dev/null +++ b/java/src/main/java/com/chatbot/config/GalileoSessionManager.java @@ -0,0 +1,42 @@ +package com.chatbot.config; + +import com.chatbot.service.GalileoService; +import jakarta.annotation.PreDestroy; +import org.springframework.beans.factory.annotation.Autowired; +import org.springframework.boot.CommandLineRunner; +import org.springframework.stereotype.Component; + +@Component +public class GalileoSessionManager implements CommandLineRunner { + + @Autowired + private GalileoService galileoService; + + @Override + public void run(String... args) throws Exception { + // Start a new session when the application starts + // Note: This may be called multiple times by Spring DevTools auto-restart + // The startSession() method has guards to prevent duplicate sessions + System.out.println("GalileoSessionManager: Application starting, attempting to create session..."); + if (galileoService.isLoggingEnabled()) { + String sessionId = galileoService.startSession(); + if (sessionId != null) { + System.out.println("GalileoSessionManager: Session started successfully: " + sessionId); + } else { + System.out.println("GalileoSessionManager: Session creation returned null (may already exist)"); + } + } else { + System.out.println("GalileoSessionManager: Logging is disabled, skipping session creation"); + } + } + + @PreDestroy + public void onShutdown() { + // Silently close the session on shutdown (no trace logging) + // Sessions should be closed by user saying "im finished" + if (galileoService.isLoggingEnabled()) { + galileoService.closeSession(); + } + } +} + diff --git a/java/src/main/java/com/chatbot/config/WebConfig.java b/java/src/main/java/com/chatbot/config/WebConfig.java new file mode 100644 index 0000000..272d2f3 --- /dev/null +++ b/java/src/main/java/com/chatbot/config/WebConfig.java @@ -0,0 +1,18 @@ +package com.chatbot.config; + +import org.springframework.context.annotation.Configuration; +import org.springframework.web.servlet.config.annotation.CorsRegistry; +import org.springframework.web.servlet.config.annotation.WebMvcConfigurer; + +@Configuration +public class WebConfig implements WebMvcConfigurer { + @Override + public void addCorsMappings(CorsRegistry registry) { + registry.addMapping("/api/**") + .allowedOrigins("http://localhost:3000") + .allowedMethods("GET", "POST", "PUT", "DELETE", "OPTIONS") + .allowedHeaders("*") + .allowCredentials(true); + } +} + diff --git a/java/src/main/java/com/chatbot/controller/ChatController.java b/java/src/main/java/com/chatbot/controller/ChatController.java new file mode 100644 index 0000000..398cf9a --- /dev/null +++ b/java/src/main/java/com/chatbot/controller/ChatController.java @@ -0,0 +1,152 @@ +package com.chatbot.controller; + +import com.chatbot.dto.ChatRequest; +import com.chatbot.dto.ChatResponse; +import com.chatbot.service.AzureOpenAIService; +import com.chatbot.service.DocumentService; +import com.chatbot.service.GalileoService; +import com.chatbot.service.MistralService; +import org.springframework.beans.factory.annotation.Autowired; +import org.springframework.beans.factory.annotation.Value; +import org.springframework.http.ResponseEntity; +import org.springframework.web.bind.annotation.*; + +import java.util.List; +import java.util.Map; +import java.util.stream.Collectors; + +@RestController +@RequestMapping("/api/chat") +@CrossOrigin(origins = "http://localhost:3000") +public class ChatController { + + @Autowired + private AzureOpenAIService azureOpenAIService; + + @Autowired + private MistralService mistralService; + + @Autowired + private GalileoService galileoService; + + @Autowired + private DocumentService documentService; + + @Value("${azure.openai.deployment-name:gpt-5-nano}") + private String azureModelName; + + @Value("${mistral.model:mistral-medium}") + private String mistralModelName; + + @PostMapping + public ResponseEntity chat(@RequestBody ChatRequest request) { + long startTime = System.nanoTime(); + String userInput = request.getMessage(); + + // Check if user wants to end the session + if (userInput != null && userInput.trim().equalsIgnoreCase("im finished")) { + if (galileoService.isLoggingEnabled()) { + galileoService.closeSession(); + } + return ResponseEntity.ok(new ChatResponse("Session ended. Thank you!")); + } + + String provider = request.getProvider() != null ? request.getProvider().toLowerCase() : "azure"; + String modelName = "azure".equals(provider) ? azureModelName : mistralModelName; + String traceId = java.util.UUID.randomUUID().toString(); + + // Retrieve relevant context using RAG (happens first, independently) + List relevantContext = documentService.retrieveRelevantContext(userInput, 3); + String contextText = relevantContext != null && !relevantContext.isEmpty() + ? relevantContext.stream().collect(Collectors.joining("\n\n")) + : null; + + // Create retriever span NOW (before Protect) so it's independent + java.util.Map retrieverSpan = null; + if (galileoService.isLoggingEnabled()) { + retrieverSpan = galileoService.createRetrieverSpan(userInput, relevantContext); + } + + com.chatbot.dto.ChatCompletionResult completionResult = null; + + try { + // Now call the LLM (after document retrieval, no Protect input check) + // Pass the already-retrieved context to avoid duplicate retrieval + if ("mistral".equals(provider)) { + completionResult = mistralService.getChatCompletion( + request.getMessage(), + request.getHistory(), + traceId, + relevantContext + ); + } else { + // Default to Azure + completionResult = azureOpenAIService.getChatCompletion( + request.getMessage(), + request.getHistory(), + traceId, + relevantContext + ); + } + + long durationNs = System.nanoTime() - startTime; + String originalLlmResponse = completionResult != null ? completionResult.getResponse() : null; + String response = originalLlmResponse; + // Retriever span was already created above, before Protect + + // Invoke Protect on output after getting response (only one Protect check) + GalileoService.ProtectInvocationResult protectInvocation = null; + if (galileoService.isProtectEnabled() && response != null) { + System.out.println("=== PROTECT CHECK ==="); + protectInvocation = galileoService.invokeProtect(userInput, response, contextText, originalLlmResponse, "output", traceId); + if (protectInvocation != null && protectInvocation.getResult() != null) { + GalileoService.ProtectResult protectResult = protectInvocation.getResult(); + if (protectResult.wasOverridden()) { + // Output was blocked, use the override message but keep original in metadata + String overrideText = protectResult.getOverrideText(); + System.out.println("🚫 PROTECT BLOCKED OUTPUT - Using override, but original LLM response saved in metadata"); + System.out.println(" Original LLM response: " + originalLlmResponse); + System.out.println(" Override message: " + overrideText); + response = overrideText; + } else { + System.out.println("✅ PROTECT ALLOWED OUTPUT"); + } + } + System.out.println("=== END PROTECT CHECK ==="); + } + + // Log the interaction to Galileo (1 trace per input/output) + // Include original LLM response and protect probability in metadata if available + if (galileoService.isLoggingEnabled() && response != null) { + String originalForMetadata = (originalLlmResponse != null && !originalLlmResponse.equals(response)) + ? originalLlmResponse + : null; + // Extract protect probability from the Protect check result + Double protectProbability = (protectInvocation != null && protectInvocation.getResult() != null) + ? protectInvocation.getResult().getProtectProbability() + : null; + // Extract tool span from Protect invocation (only one Protect span) + Map protectSpan = (protectInvocation != null) ? protectInvocation.getToolSpan() : null; + galileoService.logChatInteraction(userInput, response, provider, modelName, durationNs, traceId, retrieverSpan, originalForMetadata, protectProbability, null, protectSpan); + } + + return ResponseEntity.ok(new ChatResponse(response)); + } catch (Exception e) { + long durationNs = System.nanoTime() - startTime; + e.printStackTrace(); // Log the full stack trace + String errorMessage = e.getMessage(); + if (e.getCause() != null) { + errorMessage += " (Cause: " + e.getCause().getMessage() + ")"; + } + + // Log error to Galileo if enabled + if (galileoService.isLoggingEnabled()) { + galileoService.logChatInteraction(userInput, "Error: " + errorMessage, provider, modelName, durationNs, traceId, null, null, null, null, null); + } + + return ResponseEntity.status(500) + .body(new ChatResponse("Error: " + errorMessage)); + } + } +} + diff --git a/java/src/main/java/com/chatbot/dto/ChatCompletionResult.java b/java/src/main/java/com/chatbot/dto/ChatCompletionResult.java new file mode 100644 index 0000000..8aa25a3 --- /dev/null +++ b/java/src/main/java/com/chatbot/dto/ChatCompletionResult.java @@ -0,0 +1,22 @@ +package com.chatbot.dto; + +import java.util.Map; + +public class ChatCompletionResult { + private String response; + private Map retrieverSpan; + + public ChatCompletionResult(String response, Map retrieverSpan) { + this.response = response; + this.retrieverSpan = retrieverSpan; + } + + public String getResponse() { + return response; + } + + public Map getRetrieverSpan() { + return retrieverSpan; + } +} + diff --git a/java/src/main/java/com/chatbot/dto/ChatRequest.java b/java/src/main/java/com/chatbot/dto/ChatRequest.java new file mode 100644 index 0000000..f67e470 --- /dev/null +++ b/java/src/main/java/com/chatbot/dto/ChatRequest.java @@ -0,0 +1,34 @@ +package com.chatbot.dto; + +import java.util.List; + +public class ChatRequest { + private String message; + private List history; + private String provider; // "azure" or "mistral" + + public String getMessage() { + return message; + } + + public void setMessage(String message) { + this.message = message; + } + + public List getHistory() { + return history; + } + + public void setHistory(List history) { + this.history = history; + } + + public String getProvider() { + return provider; + } + + public void setProvider(String provider) { + this.provider = provider; + } +} + diff --git a/java/src/main/java/com/chatbot/dto/ChatResponse.java b/java/src/main/java/com/chatbot/dto/ChatResponse.java new file mode 100644 index 0000000..2db5e44 --- /dev/null +++ b/java/src/main/java/com/chatbot/dto/ChatResponse.java @@ -0,0 +1,18 @@ +package com.chatbot.dto; + +public class ChatResponse { + private String response; + + public ChatResponse(String response) { + this.response = response; + } + + public String getResponse() { + return response; + } + + public void setResponse(String response) { + this.response = response; + } +} + diff --git a/java/src/main/java/com/chatbot/service/AzureOpenAIService.java b/java/src/main/java/com/chatbot/service/AzureOpenAIService.java new file mode 100644 index 0000000..9496c0b --- /dev/null +++ b/java/src/main/java/com/chatbot/service/AzureOpenAIService.java @@ -0,0 +1,109 @@ +package com.chatbot.service; + +import com.azure.ai.openai.OpenAIClient; +import com.azure.ai.openai.OpenAIClientBuilder; +import com.azure.ai.openai.models.ChatCompletions; +import com.azure.ai.openai.models.ChatCompletionsOptions; +import com.azure.core.credential.AzureKeyCredential; +import org.springframework.beans.factory.annotation.Autowired; +import org.springframework.beans.factory.annotation.Value; +import org.springframework.stereotype.Service; + +import java.util.ArrayList; +import java.util.List; +import java.util.Map; +import java.util.stream.Collectors; + +@Service +public class AzureOpenAIService { + + private final OpenAIClient client; + private final String deploymentName; + + @Autowired + private DocumentService documentService; + + @Autowired(required = false) + private GalileoService galileoService; + + public AzureOpenAIService( + @Value("${azure.openai.endpoint}") String endpoint, + @Value("${azure.openai.api-key}") String apiKey, + @Value("${azure.openai.deployment-name:gpt-5-nano}") String deploymentName) { + this.deploymentName = deploymentName; + // Ensure endpoint ends with a slash + String normalizedEndpoint = endpoint.endsWith("/") ? endpoint : endpoint + "/"; + this.client = new OpenAIClientBuilder() + .endpoint(normalizedEndpoint) + .credential(new AzureKeyCredential(apiKey)) + .buildClient(); + } + + public com.chatbot.dto.ChatCompletionResult getChatCompletion(String userMessage, List conversationHistory, String traceId, List relevantContext) { + try { + List messages = new ArrayList<>(); + + // Context is already retrieved in ChatController, so we just use it here + // Retriever span is created in ChatController, so we don't create it here + Map retrieverSpan = null; + + String contextText = ""; + if (relevantContext != null && !relevantContext.isEmpty()) { + contextText = "\n\nRelevant context from knowledge base:\n" + + relevantContext.stream() + .map(ctx -> "- " + ctx) + .collect(Collectors.joining("\n")); + } + + // Build system message with RAG context and 30-word limit + String systemPrompt = "You are a helpful assistant. " + + "Answer questions concisely using the provided context when available. " + + "IMPORTANT: Keep your responses to 30 words or less. " + + "Be direct and brief." + contextText; + + // Add system message + messages.add(new com.azure.ai.openai.models.ChatRequestSystemMessage(systemPrompt)); + + // Add conversation history (excluding the current message which is already in userMessage) + if (conversationHistory != null && !conversationHistory.isEmpty()) { + // The history should be in pairs: [user1, assistant1, user2, assistant2, ...] + // But we exclude the last item if it's the current user message + int historySize = conversationHistory.size(); + // If the last item matches the current message, exclude it + if (historySize > 0 && conversationHistory.get(historySize - 1).equals(userMessage)) { + historySize--; // Exclude the last item + } + + for (int i = 0; i < historySize; i += 2) { + if (i < historySize) { + messages.add(new com.azure.ai.openai.models.ChatRequestUserMessage( + conversationHistory.get(i) + )); + } + if (i + 1 < historySize) { + messages.add(new com.azure.ai.openai.models.ChatRequestAssistantMessage( + conversationHistory.get(i + 1) + )); + } + } + } + + // Add current user message + messages.add(new com.azure.ai.openai.models.ChatRequestUserMessage(userMessage)); + + ChatCompletionsOptions options = new ChatCompletionsOptions(messages); + + ChatCompletions chatCompletions = client.getChatCompletions(deploymentName, options); + + if (chatCompletions.getChoices() == null || chatCompletions.getChoices().isEmpty()) { + throw new RuntimeException("No response choices returned from Azure OpenAI"); + } + + String response = chatCompletions.getChoices().get(0).getMessage().getContent(); + return new com.chatbot.dto.ChatCompletionResult(response, retrieverSpan); + } catch (Exception e) { + throw new RuntimeException("Error calling Azure OpenAI: " + e.getMessage(), e); + } + } +} + diff --git a/java/src/main/java/com/chatbot/service/DocumentService.java b/java/src/main/java/com/chatbot/service/DocumentService.java new file mode 100644 index 0000000..f94cb74 --- /dev/null +++ b/java/src/main/java/com/chatbot/service/DocumentService.java @@ -0,0 +1,41 @@ +package com.chatbot.service; + +import org.springframework.beans.factory.annotation.Autowired; +import org.springframework.stereotype.Service; + +import java.util.List; +import java.util.UUID; + +@Service +public class DocumentService { + + @Autowired + private VectorStoreService vectorStoreService; + + public String addDocument(String text) { + String id = UUID.randomUUID().toString(); + vectorStoreService.addDocument(id, text); + return id; + } + + public List retrieveRelevantContext(String query, int topK) { + try { + return vectorStoreService.searchSimilar(query, topK); + } catch (Exception e) { + // If RAG retrieval fails (e.g., rate limiting on embeddings), return empty list + // This allows the chat to continue without RAG context + System.err.println("⚠️ Error retrieving RAG context: " + e.getMessage()); + System.err.println(" Chat will continue without RAG context"); + return java.util.Collections.emptyList(); + } + } + + public void clearDocuments() { + vectorStoreService.clear(); + } + + public int getDocumentCount() { + return vectorStoreService.size(); + } +} + diff --git a/java/src/main/java/com/chatbot/service/EmbeddingService.java b/java/src/main/java/com/chatbot/service/EmbeddingService.java new file mode 100644 index 0000000..a15b389 --- /dev/null +++ b/java/src/main/java/com/chatbot/service/EmbeddingService.java @@ -0,0 +1,180 @@ +package com.chatbot.service; + +import com.fasterxml.jackson.databind.JsonNode; +import com.fasterxml.jackson.databind.ObjectMapper; +import org.springframework.beans.factory.annotation.Value; +import org.springframework.http.*; +import org.springframework.stereotype.Service; +import org.springframework.web.client.RestTemplate; + +import java.util.ArrayList; +import java.util.HashMap; +import java.util.List; +import java.util.Map; + +@Service +public class EmbeddingService { + + private final String mistralApiKey; + private final String azureEndpoint; + private final String azureApiKey; + private final String azureEmbeddingDeployment; + private final RestTemplate restTemplate; + private final ObjectMapper objectMapper; + private static final String MISTRAL_EMBEDDINGS_API_URL = "https://api.mistral.ai/v1/embeddings"; + private static final String MISTRAL_EMBED_MODEL = "mistral-embed"; + private static final String AZURE_API_VERSION = "2024-02-15-preview"; + + public EmbeddingService( + @Value("${mistral.api-key}") String mistralApiKey, + @Value("${azure.openai.endpoint:}") String azureEndpoint, + @Value("${azure.openai.api-key:}") String azureApiKey, + @Value("${azure.openai.embedding-deployment-name:text-embedding-ada-002}") String azureEmbeddingDeployment) { + this.mistralApiKey = mistralApiKey; + this.azureEndpoint = azureEndpoint; + this.azureApiKey = azureApiKey; + this.azureEmbeddingDeployment = azureEmbeddingDeployment; + this.restTemplate = new RestTemplate(); + this.objectMapper = new ObjectMapper(); + } + + public List getEmbedding(String text) { + // Try Mistral first + try { + return getMistralEmbedding(text); + } catch (org.springframework.web.client.HttpClientErrorException e) { + // If rate limited, fallback to Azure + if (e.getStatusCode() == HttpStatus.TOO_MANY_REQUESTS) { + System.err.println("⚠️ Mistral embeddings API rate limit exceeded (429). Falling back to Azure OpenAI embeddings."); + return getAzureEmbedding(text); + } + throw new RuntimeException("Error generating embedding: " + e.getMessage() + " - " + e.getResponseBodyAsString(), e); + } catch (Exception e) { + // If any other error, try Azure as fallback + if (e.getMessage() != null && e.getMessage().contains("Rate limit")) { + System.err.println("⚠️ Mistral embeddings API rate limit exceeded. Falling back to Azure OpenAI embeddings."); + return getAzureEmbedding(text); + } + throw new RuntimeException("Error generating embedding: " + e.getMessage(), e); + } + } + + private List getMistralEmbedding(String text) { + // Build request body for Mistral embeddings API + Map requestBody = new HashMap<>(); + requestBody.put("model", MISTRAL_EMBED_MODEL); + requestBody.put("input", text); + + // Set up headers + HttpHeaders headers = new HttpHeaders(); + headers.setContentType(MediaType.APPLICATION_JSON); + headers.setBearerAuth(mistralApiKey); + + HttpEntity> request = new HttpEntity<>(requestBody, headers); + + // Make API call + ResponseEntity response = restTemplate.exchange( + MISTRAL_EMBEDDINGS_API_URL, + HttpMethod.POST, + request, + String.class + ); + + if (response.getStatusCode() == HttpStatus.OK && response.getBody() != null) { + JsonNode jsonNode; + try { + jsonNode = objectMapper.readTree(response.getBody()); + } catch (Exception parseException) { + throw new RuntimeException("Error parsing Mistral API response: " + parseException.getMessage(), parseException); + } + JsonNode data = jsonNode.get("data"); + + if (data != null && data.isArray() && data.size() > 0) { + JsonNode embeddingNode = data.get(0); + JsonNode embeddingArray = embeddingNode.get("embedding"); + + if (embeddingArray != null && embeddingArray.isArray()) { + // Convert JsonNode array to List + List floatEmbedding = new ArrayList<>(); + for (JsonNode value : embeddingArray) { + floatEmbedding.add((float) value.asDouble()); + } + return floatEmbedding; + } + } + throw new RuntimeException("No embedding data returned from Mistral API"); + } else { + // Handle rate limiting and other HTTP errors + if (response.getStatusCode() == HttpStatus.TOO_MANY_REQUESTS) { + throw new RuntimeException("Rate limit exceeded: " + response.getBody()); + } + throw new RuntimeException("Mistral embeddings API returned status: " + response.getStatusCode() + " - " + response.getBody()); + } + } + + private List getAzureEmbedding(String text) { + if (azureEndpoint == null || azureEndpoint.isEmpty() || + azureApiKey == null || azureApiKey.isEmpty()) { + throw new RuntimeException("Azure OpenAI embeddings not configured. Cannot fallback from Mistral rate limit."); + } + + try { + // Build Azure OpenAI embeddings endpoint + String normalizedEndpoint = azureEndpoint.endsWith("/") + ? azureEndpoint.substring(0, azureEndpoint.length() - 1) + : azureEndpoint; + String endpoint = normalizedEndpoint + "/openai/deployments/" + azureEmbeddingDeployment + + "/embeddings?api-version=" + AZURE_API_VERSION; + + // Build request body for Azure OpenAI embeddings API + Map requestBody = new HashMap<>(); + requestBody.put("input", text); + + // Set up headers + HttpHeaders headers = new HttpHeaders(); + headers.setContentType(MediaType.APPLICATION_JSON); + headers.set("api-key", azureApiKey); + + HttpEntity> request = new HttpEntity<>(requestBody, headers); + + // Make API call + ResponseEntity response = restTemplate.exchange( + endpoint, + HttpMethod.POST, + request, + String.class + ); + + if (response.getStatusCode() == HttpStatus.OK && response.getBody() != null) { + JsonNode jsonNode; + try { + jsonNode = objectMapper.readTree(response.getBody()); + } catch (Exception parseException) { + throw new RuntimeException("Error parsing Azure OpenAI API response: " + parseException.getMessage(), parseException); + } + JsonNode data = jsonNode.get("data"); + + if (data != null && data.isArray() && data.size() > 0) { + JsonNode embeddingNode = data.get(0); + JsonNode embeddingArray = embeddingNode.get("embedding"); + + if (embeddingArray != null && embeddingArray.isArray()) { + // Convert JsonNode array to List + List floatEmbedding = new ArrayList<>(); + for (JsonNode value : embeddingArray) { + floatEmbedding.add((float) value.asDouble()); + } + System.out.println("✅ Successfully used Azure OpenAI embeddings (fallback from Mistral rate limit)"); + return floatEmbedding; + } + } + throw new RuntimeException("No embedding data returned from Azure OpenAI API"); + } else { + throw new RuntimeException("Azure OpenAI embeddings API returned status: " + response.getStatusCode() + " - " + response.getBody()); + } + } catch (Exception e) { + throw new RuntimeException("Error generating Azure OpenAI embedding: " + e.getMessage(), e); + } + } +} + diff --git a/java/src/main/java/com/chatbot/service/GalileoService.java b/java/src/main/java/com/chatbot/service/GalileoService.java new file mode 100644 index 0000000..07333b2 --- /dev/null +++ b/java/src/main/java/com/chatbot/service/GalileoService.java @@ -0,0 +1,990 @@ +package com.chatbot.service; + +import com.fasterxml.jackson.databind.JsonNode; +import com.fasterxml.jackson.databind.ObjectMapper; +import org.springframework.beans.factory.annotation.Value; +import org.springframework.http.*; +import org.springframework.stereotype.Service; +import org.springframework.web.client.RestTemplate; + +import java.time.Instant; +import java.util.*; + +@Service +public class GalileoService { + + private final String apiKey; + private final String apiUrl; + private final String projectId; + private final String projectName; + private final String logStreamId; + private final String stageName; + private final String stageId; + private final Integer stageVersion; + private final RestTemplate restTemplate; + private final ObjectMapper objectMapper; + private String currentSessionId; + private volatile boolean sessionInitialized = false; + private final Object sessionLock = new Object(); + + public GalileoService( + @Value("${galileo.api-key:}") String apiKey, + @Value("${galileo.api-url:}") String apiUrl, + @Value("${galileo.project-id:}") String projectId, + @Value("${galileo.project-name:}") String projectName, + @Value("${galileo.log-stream-id:}") String logStreamId, + @Value("${galileo.stage-name:}") String stageName, + @Value("${galileo.stage-id:}") String stageId, + @Value("${galileo.stage-version:0}") Integer stageVersion) { + this.apiKey = apiKey; + this.apiUrl = apiUrl; + this.projectId = projectId; + this.projectName = projectName; + this.logStreamId = logStreamId; + this.stageName = stageName; + this.stageId = stageId; + this.stageVersion = stageVersion; + this.restTemplate = new RestTemplate(); + this.objectMapper = new ObjectMapper(); + } + + /** + * Check if logging to Galileo is enabled + * Requires: apiKey, projectId, logStreamId + */ + public boolean isLoggingEnabled() { + boolean enabled = apiKey != null && !apiKey.isEmpty() && !apiKey.equals("YOUR_GALILEO_API_KEY") + && projectId != null && !projectId.isEmpty() + && logStreamId != null && !logStreamId.isEmpty(); + + if (!enabled) { + System.out.println("Galileo Logging Status Check:"); + System.out.println(" apiKey: " + (apiKey != null && !apiKey.isEmpty() && !apiKey.equals("YOUR_GALILEO_API_KEY") ? "✓" : "✗")); + System.out.println(" projectId: " + (projectId != null && !projectId.isEmpty() ? "✓" : "✗")); + System.out.println(" logStreamId: " + (logStreamId != null && !logStreamId.isEmpty() ? "✓" : "✗")); + } + + return enabled; + } + + /** + * Check if Galileo Protect is enabled + * Requires: apiKey, stageName + */ + public boolean isProtectEnabled() { + boolean enabled = apiKey != null && !apiKey.isEmpty() && !apiKey.equals("YOUR_GALILEO_API_KEY") + && stageName != null && !stageName.isEmpty(); + + if (!enabled) { + System.out.println("Galileo Protect Status Check:"); + System.out.println(" apiKey: " + (apiKey != null && !apiKey.isEmpty() && !apiKey.equals("YOUR_GALILEO_API_KEY") ? "✓" : "✗")); + System.out.println(" stageName: " + (stageName != null && !stageName.isEmpty() ? "✓" : "✗")); + } + + return enabled; + } + + /** + * @deprecated Use isLoggingEnabled() or isProtectEnabled() instead + */ + @Deprecated + public boolean isEnabled() { + return isLoggingEnabled(); + } + + public String startSession() { + if (!isLoggingEnabled()) { + return null; + } + + // Use synchronized block to ensure only one session is created at a time + synchronized (sessionLock) { + // Check if session already exists + if (sessionInitialized && currentSessionId != null) { + System.out.println("⚠️ Session already exists (" + currentSessionId + "). Skipping duplicate session creation."); + return currentSessionId; + } + + // Set flag immediately to prevent concurrent creation attempts + sessionInitialized = true; + } + + try { + // Generate a unique external session ID + String externalSessionId = UUID.randomUUID().toString(); + + // Create session via Galileo v2 API + Map sessionPayload = new HashMap<>(); + sessionPayload.put("log_stream_id", logStreamId); + sessionPayload.put("name", "Chatbot Session " + externalSessionId.substring(0, 8)); + sessionPayload.put("external_id", externalSessionId); + + // Set up headers + HttpHeaders headers = new HttpHeaders(); + headers.setContentType(MediaType.APPLICATION_JSON); + headers.set("Galileo-API-Key", apiKey); + + HttpEntity> request = new HttpEntity<>(sessionPayload, headers); + + // Build the endpoint URL - format: /v2/projects/{project_id}/sessions + String baseUrl = apiUrl.endsWith("/") ? apiUrl.substring(0, apiUrl.length() - 1) : apiUrl; + String endpoint = baseUrl + "/v2/projects/" + projectId + "/sessions"; + + try { + ResponseEntity response = restTemplate.exchange( + endpoint, + HttpMethod.POST, + request, + String.class + ); + + if (response.getStatusCode() == HttpStatus.OK || + response.getStatusCode() == HttpStatus.CREATED) { + // Parse response to get the session ID generated by Galileo + if (response.getBody() != null) { + try { + JsonNode jsonNode = objectMapper.readTree(response.getBody()); + JsonNode idNode = jsonNode.get("id"); + if (idNode != null && !idNode.isNull()) { + this.currentSessionId = idNode.asText(); + System.out.println("Galileo session created with ID: " + currentSessionId); + return currentSessionId; + } + } catch (Exception parseException) { + System.err.println("Error parsing session response: " + parseException.getMessage()); + System.err.println("Response body: " + response.getBody()); + } + } + // Fallback: use external_id if we can't parse the response + System.err.println("Could not parse session ID from response, using external_id"); + this.currentSessionId = externalSessionId; + return currentSessionId; + } else { + System.err.println("Failed to create Galileo session. Status: " + + response.getStatusCode() + " Response: " + response.getBody()); + // Fallback: use external_id as session_id + this.currentSessionId = externalSessionId; + return currentSessionId; + } + } catch (Exception e) { + System.err.println("Error creating Galileo session: " + e.getMessage()); + if (e.getCause() != null) { + System.err.println("Cause: " + e.getCause().getMessage()); + } + // Fallback: use external_id as session_id even if API call fails + this.currentSessionId = externalSessionId; + return currentSessionId; + } + } catch (Exception e) { + System.err.println("Error starting Galileo session: " + e.getMessage()); + e.printStackTrace(); + // Reset flag on error so retry is possible + synchronized (sessionLock) { + this.sessionInitialized = false; + } + return null; + } + } + + public void closeSession() { + if (!isLoggingEnabled() || currentSessionId == null) { + return; + } + + try { + // Just close the session without logging a trace + String closedSessionId = this.currentSessionId; + this.currentSessionId = null; + this.sessionInitialized = false; + System.out.println("Galileo session closed: " + closedSessionId); + } catch (Exception e) { + System.err.println("Error closing Galileo session: " + e.getMessage()); + e.printStackTrace(); + } + } + + public void logChatInteraction(String userInput, String assistantOutput, String provider, String model, + long durationNs, String traceId, Map retrieverSpan, String originalLlmResponse, Double protectProbability, + Map protectInputSpan, Map protectOutputSpan) { + System.out.println("Galileo: logChatInteraction called"); + System.out.println("Galileo: isLoggingEnabled() = " + isLoggingEnabled()); + + if (!isLoggingEnabled()) { + System.out.println("⚠️ Galileo: Logging is disabled, skipping trace logging"); + return; + } + + try { + System.out.println("Galileo: Starting to log chat interaction"); + // Use provided traceId or generate a new one + if (traceId == null || traceId.isEmpty()) { + traceId = UUID.randomUUID().toString(); + } + + // Build input/output data + Map inputData = new HashMap<>(); + inputData.put("role", "user"); + inputData.put("content", userInput); + + Map outputData = new HashMap<>(); + outputData.put("role", "assistant"); + outputData.put("content", assistantOutput); + + // Estimate token counts (rough approximation: 1 token ≈ 4 characters) + int inputTokens = Math.max(1, userInput.length() / 4); + int outputTokens = Math.max(1, assistantOutput.length() / 4); + int totalTokens = inputTokens + outputTokens; + + // Create trace metadata + Map traceMetadata = new HashMap<>(); + traceMetadata.put("trace_id", traceId); + traceMetadata.put("session_id", currentSessionId); + traceMetadata.put("provider", provider); + traceMetadata.put("model", model); + traceMetadata.put("input_tokens", inputTokens); + traceMetadata.put("output_tokens", outputTokens); + traceMetadata.put("total_tokens", totalTokens); + traceMetadata.put("duration_ns", durationNs); + traceMetadata.put("timestamp", Instant.now().toString()); + // Add original LLM response to metadata if it was overridden + if (originalLlmResponse != null && !originalLlmResponse.isEmpty() && !originalLlmResponse.equals(assistantOutput)) { + traceMetadata.put("original_llm_response", originalLlmResponse); + } + // Add protect probability to metadata if available + if (protectProbability != null) { + traceMetadata.put("context_adherence_luna_protect_probability", protectProbability); + } + + // Log the trace with optional retriever span and Protect span as children + System.out.println("Galileo: Calling logTraceWithSpans with:"); + System.out.println(" - retrieverSpan: " + (retrieverSpan != null ? "present" : "null")); + System.out.println(" - protectOutputSpan: " + (protectOutputSpan != null ? "present" : "null")); + logTraceWithSpans("chat_interaction", traceMetadata, inputData, outputData, retrieverSpan, traceId, protectInputSpan, protectOutputSpan); + System.out.println("Galileo: logTraceWithSpans completed"); + + } catch (Exception e) { + System.err.println("❌ Error logging to Galileo: " + e.getMessage()); + e.printStackTrace(); + } + } + + private void logTrace(String eventType, Map metadata, + Map input, Map output) { + if (!isLoggingEnabled()) { + return; + } + + try { + // Build the trace according to Galileo v2 API format + Map trace = new HashMap<>(); + + if (input != null) { + // For chat interactions, format input as a message + if (input.containsKey("content")) { + trace.put("input", input.get("content")); + } else { + trace.put("input", input); + } + } + + if (output != null) { + // For chat interactions, format output as a message + if (output.containsKey("content")) { + trace.put("output", output.get("content")); + } else { + trace.put("output", output); + } + } + + // Add metadata fields + if (metadata != null) { + if (metadata.containsKey("timestamp")) { + trace.put("created_at", metadata.get("timestamp")); + } + if (metadata.containsKey("duration_ns")) { + Map metrics = new HashMap<>(); + metrics.put("duration_ns", metadata.get("duration_ns")); + trace.put("metrics", metrics); + } + } + + // Build the request payload according to Galileo v2 API + Map tracePayload = new HashMap<>(); + tracePayload.put("log_stream_id", logStreamId); + + if (currentSessionId != null) { + tracePayload.put("session_id", currentSessionId); + } + + // Extract trace_id from metadata if available + String traceIdValue = null; + if (metadata != null && metadata.containsKey("trace_id")) { + traceIdValue = metadata.get("trace_id").toString(); + tracePayload.put("trace_id", traceIdValue); + } + + List> tracesList = new ArrayList<>(); + tracesList.add(trace); + tracePayload.put("traces", tracesList); + + // Set up headers - Galileo v2 API uses Galileo-API-Key header + HttpHeaders headers = new HttpHeaders(); + headers.setContentType(MediaType.APPLICATION_JSON); + headers.set("Galileo-API-Key", apiKey); + + HttpEntity> request = new HttpEntity<>(tracePayload, headers); + + // Build the endpoint URL - format: /v2/projects/{project_id}/traces + String baseUrl = apiUrl.endsWith("/") ? apiUrl.substring(0, apiUrl.length() - 1) : apiUrl; + String endpoint = baseUrl + "/v2/projects/" + projectId + "/traces"; + + try { + ResponseEntity response = restTemplate.exchange( + endpoint, + HttpMethod.POST, + request, + String.class + ); + + if (response.getStatusCode() != HttpStatus.OK && + response.getStatusCode() != HttpStatus.CREATED) { + System.err.println("Galileo API returned status: " + response.getStatusCode() + + " Response: " + response.getBody()); + } + } catch (Exception e) { + System.err.println("Error calling Galileo API at " + endpoint + ": " + e.getMessage()); + if (e.getCause() != null) { + System.err.println("Cause: " + e.getCause().getMessage()); + } + // Don't throw - we don't want to break the app if logging fails + } + + } catch (Exception e) { + System.err.println("Error creating trace payload: " + e.getMessage()); + e.printStackTrace(); + } + } + + public String getCurrentSessionId() { + return currentSessionId; + } + + public Map createRetrieverSpan(String query, List retrievedDocuments) { + if (!isLoggingEnabled()) { + return null; + } + + try { + // Build the retriever span for document retrieval + Map span = new HashMap<>(); + span.put("created_at", Instant.now().toString()); + span.put("type", "retriever"); + span.put("name", "Documents Retrieval"); + + // Input: the query (string) + span.put("input", query); + + // Output: array of objects (each document as an object) + List> outputArray = new ArrayList<>(); + if (retrievedDocuments != null && !retrievedDocuments.isEmpty()) { + for (String doc : retrievedDocuments) { + Map docObj = new HashMap<>(); + docObj.put("content", doc); + outputArray.add(docObj); + } + } + span.put("output", outputArray); + + // Metrics: number of documents retrieved + Map metrics = new HashMap<>(); + metrics.put("documents_retrieved", retrievedDocuments != null ? retrievedDocuments.size() : 0); + span.put("metrics", metrics); + + // Status code + span.put("status_code", 200); + + return span; + } catch (Exception e) { + System.err.println("Error creating retriever span: " + e.getMessage()); + e.printStackTrace(); + return null; + } + } + + private void logTraceWithSpans(String eventType, Map metadata, + Map input, Map output, + Map retrieverSpan, String traceId, + Map protectInputSpan, Map protectOutputSpan) { + if (!isLoggingEnabled()) { + return; + } + + try { + // Build the trace that can contain child spans + Map trace = new HashMap<>(); + trace.put("type", "trace"); + trace.put("created_at", metadata != null && metadata.containsKey("timestamp") + ? metadata.get("timestamp").toString() + : Instant.now().toString()); + + if (input != null) { + if (input.containsKey("content")) { + trace.put("input", input.get("content")); + } else { + trace.put("input", input); + } + } + + if (output != null) { + if (output.containsKey("content")) { + trace.put("output", output.get("content")); + } else { + trace.put("output", output); + } + } + + // Add user_metadata if original_llm_response or context_adherence_luna_protect_probability is present + if (metadata != null && (metadata.containsKey("original_llm_response") || metadata.containsKey("context_adherence_luna_protect_probability"))) { + Map userMetadata = new HashMap<>(); + if (metadata.containsKey("original_llm_response")) { + userMetadata.put("original_llm_response", metadata.get("original_llm_response")); + } + if (metadata.containsKey("context_adherence_luna_protect_probability")) { + // Convert to string as user_metadata requires string values + Object probValue = metadata.get("context_adherence_luna_protect_probability"); + if (probValue != null) { + userMetadata.put("context_adherence_luna_protect_probability", String.valueOf(probValue)); + } + } + trace.put("user_metadata", userMetadata); + } + + // Add child spans (retriever span, Protect spans, and LLM span) + List> childSpans = new ArrayList<>(); + + // Add retriever span if provided + if (retrieverSpan != null) { + retrieverSpan.put("trace_id", traceId); + childSpans.add(retrieverSpan); + } + + // Add LLM span for the chat completion + Map llmSpan = new HashMap<>(); + llmSpan.put("type", "llm"); + llmSpan.put("created_at", Instant.now().toString()); + llmSpan.put("name", "Chat Completion"); + if (input != null && input.containsKey("content")) { + List> inputMessages = new ArrayList<>(); + Map userMsg = new HashMap<>(); + userMsg.put("role", "user"); + userMsg.put("content", input.get("content")); + inputMessages.add(userMsg); + llmSpan.put("input", inputMessages); + } + if (output != null && output.containsKey("content")) { + Map assistantMsg = new HashMap<>(); + assistantMsg.put("role", "assistant"); + assistantMsg.put("content", output.get("content")); + llmSpan.put("output", assistantMsg); + } + if (metadata != null) { + Map llmMetrics = new HashMap<>(); + if (metadata.containsKey("input_tokens")) { + llmMetrics.put("input_tokens", metadata.get("input_tokens")); + } + if (metadata.containsKey("output_tokens")) { + llmMetrics.put("output_tokens", metadata.get("output_tokens")); + } + if (metadata.containsKey("total_tokens")) { + llmMetrics.put("total_tokens", metadata.get("total_tokens")); + } + if (metadata.containsKey("duration_ns")) { + llmMetrics.put("duration_ns", metadata.get("duration_ns")); + } + if (!llmMetrics.isEmpty()) { + llmSpan.put("metrics", llmMetrics); + } + + // Add user_metadata to LLM span if original_llm_response or context_adherence_luna_protect_probability is present + if (metadata.containsKey("original_llm_response") || metadata.containsKey("context_adherence_luna_protect_probability")) { + Map llmUserMetadata = new HashMap<>(); + if (metadata.containsKey("original_llm_response")) { + llmUserMetadata.put("original_llm_response", metadata.get("original_llm_response")); + } + if (metadata.containsKey("context_adherence_luna_protect_probability")) { + // Convert to string as user_metadata requires string values + Object probValue = metadata.get("context_adherence_luna_protect_probability"); + if (probValue != null) { + llmUserMetadata.put("context_adherence_luna_protect_probability", String.valueOf(probValue)); + } + } + llmSpan.put("user_metadata", llmUserMetadata); + } + } + llmSpan.put("trace_id", traceId); + childSpans.add(llmSpan); + + // Add Protect tool span if provided (after LLM - only one Protect span) + if (protectOutputSpan != null) { + protectOutputSpan.put("trace_id", traceId); + protectOutputSpan.put("parent_id", traceId); + childSpans.add(protectOutputSpan); + } + + if (!childSpans.isEmpty()) { + trace.put("spans", childSpans); + } + + // Build the request payload + Map tracePayload = new HashMap<>(); + tracePayload.put("log_stream_id", logStreamId); + + if (currentSessionId != null) { + tracePayload.put("session_id", currentSessionId); + } + + tracePayload.put("trace_id", traceId); + + List> tracesList = new ArrayList<>(); + tracesList.add(trace); + tracePayload.put("traces", tracesList); + + // Set up headers + HttpHeaders headers = new HttpHeaders(); + headers.setContentType(MediaType.APPLICATION_JSON); + headers.set("Galileo-API-Key", apiKey); + + HttpEntity> request = new HttpEntity<>(tracePayload, headers); + + // Build the endpoint URL - format: /v2/projects/{project_id}/traces + String baseUrl = apiUrl.endsWith("/") ? apiUrl.substring(0, apiUrl.length() - 1) : apiUrl; + String endpoint = baseUrl + "/v2/projects/" + projectId + "/traces"; + + try { + System.out.println("Galileo: Sending trace to " + endpoint); + System.out.println("Galileo: Trace ID: " + traceId); + System.out.println("Galileo: Session ID: " + currentSessionId); + System.out.println("Galileo: Log Stream ID: " + logStreamId); + System.out.println("Galileo: Number of child spans: " + (childSpans != null ? childSpans.size() : 0)); + + ResponseEntity response = restTemplate.exchange( + endpoint, + HttpMethod.POST, + request, + String.class + ); + + System.out.println("Galileo: API response status: " + response.getStatusCode()); + if (response.getStatusCode() == HttpStatus.OK || + response.getStatusCode() == HttpStatus.CREATED) { + System.out.println("✅ Galileo: Trace logged successfully"); + if (response.getBody() != null) { + System.out.println("Galileo: Response body: " + response.getBody()); + } + } else { + System.err.println("❌ Galileo API returned status: " + response.getStatusCode() + + " Response: " + response.getBody()); + } + } catch (Exception e) { + System.err.println("❌ Error calling Galileo API at " + endpoint + ": " + e.getMessage()); + e.printStackTrace(); + if (e.getCause() != null) { + System.err.println("Cause: " + e.getCause().getMessage()); + e.getCause().printStackTrace(); + } + // Don't throw - we don't want to break the app if logging fails + } + + } catch (Exception e) { + System.err.println("❌ Error creating trace with spans payload: " + e.getMessage()); + e.printStackTrace(); + } + } + + /** + * Result wrapper for Protect invocation that includes both the result and tool span + */ + public static class ProtectInvocationResult { + private final ProtectResult result; + private final Map toolSpan; + + public ProtectInvocationResult(ProtectResult result, Map toolSpan) { + this.result = result; + this.toolSpan = toolSpan; + } + + public ProtectResult getResult() { + return result; + } + + public Map getToolSpan() { + return toolSpan; + } + } + + /** + * Invoke Galileo Protect to check input/output for security issues + * @param input The input text to check + * @param output The output text to check (can be null for input-only checks) + * @param context The context/documents retrieved from RAG (can be null) + * @param originalLlmResponse The original LLM response to include in metadata (can be null) + * @param checkType "input" or "output" to identify the type of check + * @param traceId The trace ID to link the tool span to + * @return ProtectInvocationResult containing both the result and tool span, or null if protect is disabled + */ + public ProtectInvocationResult invokeProtect(String input, String output, String context, String originalLlmResponse, String checkType, String traceId) { + System.out.println("Galileo Protect: Starting invocation check..."); + System.out.println(" stageName: " + (stageName != null ? stageName : "NULL")); + System.out.println(" stageId: " + (stageId != null ? stageId : "NULL")); + System.out.println(" stageVersion: " + stageVersion); + + if (!isProtectEnabled()) { + System.out.println("❌ Galileo Protect: Service not enabled - check configuration"); + return null; + } + + System.out.println("✅ Galileo Protect: All checks passed, proceeding with API call"); + + try { + // Build the protect request payload matching the example format + Map requestBody = new HashMap<>(); + + // Payload with input, output, and context + Map payload = new HashMap<>(); + payload.put("input", input); + if (output != null) { + payload.put("output", output); + } + if (context != null && !context.isEmpty()) { + payload.put("context", context); + System.out.println("Galileo Protect: Adding context to payload (length: " + context.length() + " chars)"); + } else { + System.out.println("Galileo Protect: No context available for payload"); + } + requestBody.put("payload", payload); + + // Project and stage information (matching the example format) + if (projectName != null && !projectName.isEmpty()) { + requestBody.put("project_name", projectName); + } + // Optionally add project_id, stage_id, stage_version for extra safety + if (projectId != null && !projectId.isEmpty()) { + requestBody.put("project_id", projectId); + } + requestBody.put("stage_name", stageName); + if (stageId != null && !stageId.isEmpty()) { + requestBody.put("stage_id", stageId); + } + if (stageVersion != null) { + requestBody.put("stage_version", stageVersion); + } + requestBody.put("timeout", 300); + + // Add metadata with source and original LLM response if available + Map metadata = new HashMap<>(); + metadata.put("source", "java-ragbot"); + if (originalLlmResponse != null && !originalLlmResponse.isEmpty()) { + metadata.put("original_llm_response", originalLlmResponse); + } + requestBody.put("metadata", metadata); + + // Set up headers + HttpHeaders headers = new HttpHeaders(); + headers.setContentType(MediaType.APPLICATION_JSON); + headers.set("Galileo-API-Key", apiKey); + + HttpEntity> request = new HttpEntity<>(requestBody, headers); + + // Build the endpoint URL - format: /v2/protect/invoke + String baseUrl = apiUrl.endsWith("/") ? apiUrl.substring(0, apiUrl.length() - 1) : apiUrl; + String endpoint = baseUrl + "/v2/protect/invoke"; + + System.out.println("Galileo Protect: Calling " + endpoint); + + try { + ResponseEntity response = restTemplate.exchange( + endpoint, + HttpMethod.POST, + request, + String.class + ); + + System.out.println("Galileo Protect: Response status: " + response.getStatusCode()); + System.out.println("Galileo Protect: Response body: " + response.getBody()); + + if (response.getStatusCode() == HttpStatus.OK && response.getBody() != null) { + JsonNode jsonNode = objectMapper.readTree(response.getBody()); + + String status = jsonNode.has("status") ? jsonNode.get("status").asText() : null; + String text = jsonNode.has("text") ? jsonNode.get("text").asText() : null; + + System.out.println("Galileo Protect: Status: " + status + ", Text: " + text); + + // Check if action was taken - use action_result only if present + String actionType = null; + String actionValue = null; + Double protectProbability = null; + + if (jsonNode.has("action_result")) { + JsonNode actionResult = jsonNode.get("action_result"); + if (actionResult.has("type")) { + actionType = actionResult.get("type").asText(); + } + if (actionResult.has("value")) { + JsonNode valueNode = actionResult.get("value"); + if (valueNode.isTextual()) { + actionValue = valueNode.asText(); + } else if (valueNode.isNumber()) { + // If value is a number, it might be a probability + double rawValue = valueNode.asDouble(); + protectProbability = Math.round(rawValue * 10000.0) / 10000.0; + } + } + System.out.println("Galileo Protect: Action type: " + actionType + ", Action value: " + actionValue); + } else { + System.out.println("Galileo Protect: No action_result in response"); + } + + // Use text from response if action_result.value is not available + if (actionValue == null && text != null) { + actionValue = text; + } + + // Extract probability from various possible locations in the response + // First, check if there's a "value" field directly at the top level + if (jsonNode.has("value") && jsonNode.get("value").isNumber()) { + double rawValue = jsonNode.get("value").asDouble(); + protectProbability = Math.round(rawValue * 10000.0) / 10000.0; + System.out.println("Galileo Protect: Found probability at top level: " + protectProbability); + } + + // Check metric_results (look for prompt_injection or other metric values) + if (protectProbability == null && jsonNode.has("metric_results")) { + JsonNode metricResults = jsonNode.get("metric_results"); + if (metricResults.isObject()) { + // Also check if metric_results has prompt_injection directly + if (metricResults.has("prompt_injection")) { + JsonNode promptInjection = metricResults.get("prompt_injection"); + if (promptInjection.has("value") && promptInjection.get("value").isNumber()) { + double rawValue = promptInjection.get("value").asDouble(); + protectProbability = Math.round(rawValue * 10000.0) / 10000.0; + System.out.println("Galileo Protect: Found prompt_injection probability: " + protectProbability); + } + } + // Look for any metric with a numeric value + if (protectProbability == null) { + java.util.Iterator> fields = metricResults.fields(); + while (fields.hasNext() && protectProbability == null) { + java.util.Map.Entry entry = fields.next(); + JsonNode metricResult = entry.getValue(); + if (metricResult.has("value") && metricResult.get("value").isNumber()) { + double rawValue = metricResult.get("value").asDouble(); + protectProbability = Math.round(rawValue * 10000.0) / 10000.0; + System.out.println("Galileo Protect: Found probability in metric " + entry.getKey() + ": " + protectProbability); + } + } + } + } + } + + // Also check action_result for value (could be a number) + if (protectProbability == null && jsonNode.has("action_result")) { + JsonNode actionResult = jsonNode.get("action_result"); + if (actionResult.has("value")) { + JsonNode valueNode = actionResult.get("value"); + if (valueNode.isNumber()) { + double rawValue = valueNode.asDouble(); + protectProbability = Math.round(rawValue * 10000.0) / 10000.0; + System.out.println("Galileo Protect: Found probability in action_result.value: " + protectProbability); + } + } + } + + ProtectResult result = new ProtectResult(status, text, actionType, actionValue, protectProbability); + System.out.println("Galileo Protect: Was overridden: " + result.wasOverridden()); + if (protectProbability != null) { + System.out.println("Galileo Protect: Probability: " + protectProbability); + } + + // Create tool span for this Protect invocation + Map toolSpan = createProtectToolSpan( + payload, response.getBody(), result, checkType, traceId, + response.getStatusCode().value(), protectProbability + ); + + return new ProtectInvocationResult(result, toolSpan); + } else { + System.err.println("Galileo Protect API returned status: " + response.getStatusCode() + + " Response: " + response.getBody()); + + // Create tool span even for failed requests + Map toolSpan = createProtectToolSpan( + payload, response.getBody(), null, checkType, traceId, + response.getStatusCode().value(), null + ); + + return new ProtectInvocationResult(null, toolSpan); + } + } catch (Exception e) { + System.err.println("Error calling Galileo Protect API at " + endpoint + ": " + e.getMessage()); + e.printStackTrace(); + if (e.getCause() != null) { + System.err.println("Cause: " + e.getCause().getMessage()); + } + // Don't throw - we don't want to break the app if protect fails + // Create tool span for error case + Map toolSpan = createProtectToolSpan( + payload, "Error: " + e.getMessage(), null, checkType, traceId, + 500, null + ); + return new ProtectInvocationResult(null, toolSpan); + } + + } catch (Exception e) { + System.err.println("Error creating protect request payload: " + e.getMessage()); + e.printStackTrace(); + return null; + } + } + + /** + * Create a tool span for a Protect invocation + */ + private Map createProtectToolSpan( + Map requestPayload, String responseBody, ProtectResult result, + String checkType, String traceId, int statusCode, Double protectProbability) { + + if (!isLoggingEnabled()) { + return null; + } + + try { + Map toolSpan = new HashMap<>(); + toolSpan.put("type", "tool"); + toolSpan.put("name", "GalileoProtect"); + toolSpan.put("created_at", Instant.now().toString()); + + // Input: the Protect request payload as JSON string + try { + String inputJson = objectMapper.writeValueAsString(requestPayload); + toolSpan.put("input", inputJson); + } catch (Exception e) { + toolSpan.put("input", requestPayload.toString()); + } + + // Output: the Protect response as JSON string (or error message) + if (responseBody != null) { + toolSpan.put("output", responseBody); + } else if (result != null) { + // Fallback: create a simple output from the result + Map outputMap = new HashMap<>(); + outputMap.put("status", result.getStatus()); + outputMap.put("text", result.getText()); + try { + toolSpan.put("output", objectMapper.writeValueAsString(outputMap)); + } catch (Exception e) { + toolSpan.put("output", outputMap.toString()); + } + } + + // Status code from the HTTP response + toolSpan.put("status_code", statusCode); + + // User metadata + Map userMetadata = new HashMap<>(); + userMetadata.put("check_type", checkType != null ? checkType : "unknown"); + if (result != null) { + userMetadata.put("protect_status", result.getStatus() != null ? result.getStatus() : "unknown"); + userMetadata.put("was_overridden", String.valueOf(result.wasOverridden())); + } + if (protectProbability != null) { + userMetadata.put("protect_probability", String.valueOf(protectProbability)); + } + toolSpan.put("user_metadata", userMetadata); + + // Link to trace + toolSpan.put("trace_id", traceId); + toolSpan.put("parent_id", traceId); // Parent is the trace itself + if (currentSessionId != null) { + toolSpan.put("session_id", currentSessionId); + } + + return toolSpan; + } catch (Exception e) { + System.err.println("Error creating Protect tool span: " + e.getMessage()); + e.printStackTrace(); + return null; + } + } + + /** + * Result from Galileo Protect invocation + */ + public static class ProtectResult { + private final String status; + private final String text; + private final String actionType; + private final String actionValue; + private final Double protectProbability; + + public ProtectResult(String status, String text, String actionType, String actionValue, Double protectProbability) { + this.status = status; + this.text = text; + this.actionType = actionType; + this.actionValue = actionValue; + this.protectProbability = protectProbability; + } + + public String getStatus() { + return status; + } + + public String getText() { + return text; + } + + public String getActionType() { + return actionType; + } + + public String getActionValue() { + return actionValue; + } + + public Double getProtectProbability() { + return protectProbability; + } + + /** + * Determine if the response was overridden. + * Canonical signal: status=="triggered" + text != null + * Falls back to action_result.type == "OVERRIDE" if present + */ + public boolean wasOverridden() { + // Canonical signal: status=="triggered" + text != null + if ("triggered".equals(status) && text != null && !text.isEmpty()) { + return true; + } + // Fallback: use action_result if present + if (actionType != null && "OVERRIDE".equals(actionType)) { + return true; + } + return false; + } + + /** + * Get the override text to use. + * Prefers action_result.value if available, otherwise uses text from response. + */ + public String getOverrideText() { + if (actionValue != null && !actionValue.isEmpty()) { + return actionValue; + } + if (text != null && !text.isEmpty()) { + return text; + } + return null; + } + } +} + diff --git a/java/src/main/java/com/chatbot/service/MistralService.java b/java/src/main/java/com/chatbot/service/MistralService.java new file mode 100644 index 0000000..f6638c2 --- /dev/null +++ b/java/src/main/java/com/chatbot/service/MistralService.java @@ -0,0 +1,141 @@ +package com.chatbot.service; + +import com.fasterxml.jackson.databind.JsonNode; +import com.fasterxml.jackson.databind.ObjectMapper; +import org.springframework.beans.factory.annotation.Autowired; +import org.springframework.beans.factory.annotation.Value; +import org.springframework.http.*; +import org.springframework.stereotype.Service; +import org.springframework.web.client.RestTemplate; + +import java.util.ArrayList; +import java.util.HashMap; +import java.util.List; +import java.util.Map; + +@Service +public class MistralService { + + private final String apiKey; + private final String model; + private final RestTemplate restTemplate; + private final ObjectMapper objectMapper; + private static final String MISTRAL_API_URL = "https://api.mistral.ai/v1/chat/completions"; + + @Autowired + private DocumentService documentService; + + @Autowired(required = false) + private com.chatbot.service.GalileoService galileoService; + + public MistralService( + @Value("${mistral.api-key}") String apiKey, + @Value("${mistral.model:mistral-medium}") String model) { + this.apiKey = apiKey; + this.model = model; + this.restTemplate = new RestTemplate(); + this.objectMapper = new ObjectMapper(); + } + + public com.chatbot.dto.ChatCompletionResult getChatCompletion(String userMessage, List conversationHistory, String traceId, List relevantContext) { + try { + // Build messages list + List> messages = new ArrayList<>(); + + // Context is already retrieved in ChatController, so we just use it here + // Retriever span is created in ChatController, so we don't create it here + Map retrieverSpan = null; + + String contextText = ""; + if (relevantContext != null && !relevantContext.isEmpty()) { + contextText = "\n\nRelevant context from knowledge base:\n" + + relevantContext.stream() + .map(ctx -> "- " + ctx) + .collect(java.util.stream.Collectors.joining("\n")); + } + + // Build system message with RAG context and 30-word limit + String systemPrompt = "You are a helpful assistant. " + + "Answer questions concisely using the provided context when available. " + + "IMPORTANT: Keep your responses to 30 words or less. " + + "Be direct and brief." + contextText; + + // Add system message + Map systemMessage = new HashMap<>(); + systemMessage.put("role", "system"); + systemMessage.put("content", systemPrompt); + messages.add(systemMessage); + + // Add conversation history + if (conversationHistory != null && !conversationHistory.isEmpty()) { + int historySize = conversationHistory.size(); + // If the last item matches the current message, exclude it + if (historySize > 0 && conversationHistory.get(historySize - 1).equals(userMessage)) { + historySize--; + } + + for (int i = 0; i < historySize; i += 2) { + if (i < historySize) { + Map userMsg = new HashMap<>(); + userMsg.put("role", "user"); + userMsg.put("content", conversationHistory.get(i)); + messages.add(userMsg); + } + if (i + 1 < historySize) { + Map assistantMsg = new HashMap<>(); + assistantMsg.put("role", "assistant"); + assistantMsg.put("content", conversationHistory.get(i + 1)); + messages.add(assistantMsg); + } + } + } + + // Add current user message + Map currentUserMessage = new HashMap<>(); + currentUserMessage.put("role", "user"); + currentUserMessage.put("content", userMessage); + messages.add(currentUserMessage); + + // Build request body + Map requestBody = new HashMap<>(); + requestBody.put("model", model); + requestBody.put("messages", messages); + + // Set up headers + HttpHeaders headers = new HttpHeaders(); + headers.setContentType(MediaType.APPLICATION_JSON); + headers.setBearerAuth(apiKey); + + HttpEntity> request = new HttpEntity<>(requestBody, headers); + + // Make API call + ResponseEntity response = restTemplate.exchange( + MISTRAL_API_URL, + HttpMethod.POST, + request, + String.class + ); + + if (response.getStatusCode() == HttpStatus.OK && response.getBody() != null) { + JsonNode jsonNode = objectMapper.readTree(response.getBody()); + JsonNode choices = jsonNode.get("choices"); + if (choices != null && choices.isArray() && choices.size() > 0) { + JsonNode message = choices.get(0).get("message"); + if (message != null) { + JsonNode content = message.get("content"); + if (content != null) { + String responseText = content.asText(); + return new com.chatbot.dto.ChatCompletionResult(responseText, retrieverSpan); + } + } + } + throw new RuntimeException("No response content in Mistral API response"); + } else { + throw new RuntimeException("Mistral API returned status: " + response.getStatusCode()); + } + } catch (Exception e) { + throw new RuntimeException("Error calling Mistral API: " + e.getMessage(), e); + } + } +} + diff --git a/java/src/main/java/com/chatbot/service/VectorStoreService.java b/java/src/main/java/com/chatbot/service/VectorStoreService.java new file mode 100644 index 0000000..f1bd49d --- /dev/null +++ b/java/src/main/java/com/chatbot/service/VectorStoreService.java @@ -0,0 +1,98 @@ +package com.chatbot.service; + +import org.springframework.beans.factory.annotation.Autowired; +import org.springframework.stereotype.Service; + +import java.util.*; +import java.util.stream.Collectors; + +@Service +public class VectorStoreService { + + @Autowired + private EmbeddingService embeddingService; + + // In-memory vector store: document ID -> (embedding, text) + private final Map vectors = new HashMap<>(); + + public static class DocumentVector { + private final String id; + private final String text; + private final List embedding; + + public DocumentVector(String id, String text, List embedding) { + this.id = id; + this.text = text; + this.embedding = embedding; + } + + public String getId() { return id; } + public String getText() { return text; } + public List getEmbedding() { return embedding; } + } + + public void addDocument(String id, String text) { + List embedding = embeddingService.getEmbedding(text); + vectors.put(id, new DocumentVector(id, text, embedding)); + } + + public List searchSimilar(String query, int topK) { + if (vectors.isEmpty()) { + return new ArrayList<>(); + } + + // Get embedding for query + List queryEmbedding = embeddingService.getEmbedding(query); + + // Calculate cosine similarity for all documents + List results = new ArrayList<>(); + for (DocumentVector doc : vectors.values()) { + double similarity = cosineSimilarity(queryEmbedding, doc.getEmbedding()); + results.add(new SimilarityResult(doc.getText(), similarity)); + } + + // Sort by similarity (descending) and return top K + return results.stream() + .sorted((a, b) -> Double.compare(b.similarity, a.similarity)) + .limit(topK) + .map(r -> r.text) + .collect(Collectors.toList()); + } + + private double cosineSimilarity(List vec1, List vec2) { + if (vec1.size() != vec2.size()) { + throw new IllegalArgumentException("Vectors must have the same dimension"); + } + + double dotProduct = 0.0; + double norm1 = 0.0; + double norm2 = 0.0; + + for (int i = 0; i < vec1.size(); i++) { + dotProduct += vec1.get(i) * vec2.get(i); + norm1 += vec1.get(i) * vec1.get(i); + norm2 += vec2.get(i) * vec2.get(i); + } + + return dotProduct / (Math.sqrt(norm1) * Math.sqrt(norm2)); + } + + private static class SimilarityResult { + final String text; + final double similarity; + + SimilarityResult(String text, double similarity) { + this.text = text; + this.similarity = similarity; + } + } + + public void clear() { + vectors.clear(); + } + + public int size() { + return vectors.size(); + } +} + diff --git a/java/src/main/resources/README.md b/java/src/main/resources/README.md new file mode 100644 index 0000000..d18355f --- /dev/null +++ b/java/src/main/resources/README.md @@ -0,0 +1 @@ +Put any document here that you'd like your RAGbot to read. \ No newline at end of file