Assistant Builder

🎯 OpenAI Assistants API

Complete implementation of OpenAI's Assistants API in Kotlin with Spring Boot. Creates intelligent AI assistants with file search capabilities.

🔧 Architecture

• RAG Pipeline: File → Vector Store → Assistant → Chat
• Async Operations: Coroutines with SSE progress tracking
• Session Management: Smart resource detection
• Bootstrap UI: Real-time updates via Server-Sent Events

💻 Core Implementation

// Upload & Index
val file = openAIAssistant.uploadFile(
    fileBytes = movieFile.toByteArray(),
    filename = "movies.txt", 
    purpose = "assistants"
)

// Create Vector Store
val vectorStore = openAIAssistant.createVectorStore(
    name = "Movie Database",
    fileIds = listOf(file.id)
)

🤖 Assistant Creation

// Create Assistant with File Search
val assistant = openAIAssistant.createAssistant(
    name = "Movie Expert",
    instructions = MOVIE_ASSISTANT_PROMPT,
    model = Models.Chat.GPT_4O,
    tools = listOf(AssistantTool("file_search")),
    vectorStoreIds = listOf(vectorStore.id)
)

💬 Async Chat Flow

// Multi-step async conversation
val thread = assistant.createThread()
assistant.addMessageToThread(thread.id, userMessage)
val run = assistant.runAssistant(thread.id, assistant.id)

// Poll for completion
while (run.status == "in_progress") {
    delay(2000)
    runStatus = assistant.getRunStatus(thread.id, run.id)
}

val response = assistant.getMessages(thread.id)
    .data.filter { it.role == "assistant" }
    .maxByOrNull { it.createdAt }

✨ Features

• 🔄 Smart fallback (DB → general knowledge)
• 🎨 Bootstrap-formatted responses
• 📡 Real-time SSE progress updates
• 🧹 Granular resource cleanup