AI Integration

AI Service Integration & Agentic Framework

AI Service Integration & Agentic Framework

The orchestrator integrates a layer of AI Service Integration that communicates via API with the main AI models (Google Gemini, OpenAI). Data extracted from scraping and code processing results are processed in real-time by AI for predictive analysis, classification, key information extraction, and decision automation.

LLM Integration

Direct connection to advanced models via API:

  • • Google Gemini Pro/Flash
  • • OpenAI GPT-4/GPT-3.5
  • • Specialized models for vision and audio

Agentic Workflows

Autonomous decision automation based on:

  • • Real-time context analysis
  • • Intelligent conditional triggers
  • • Dynamic workflow adaptation

Real-Time Processing

📊 Predictive Analysis

Extracted data is analyzed to identify trends, patterns and anomalies with advanced predictive models.

🏷️ Automatic Classification

Intelligent categorization of content, documents and extracted information.

🔑 Information Extraction

Named Entity Recognition (NER) to extract key entities from unstructured texts.

⚡ Decision Automation

Autonomous decisions based on business rules and operational context analysis.

AI Integration Flow

1. Data Input

Raw data from scraping or code execution

↓

2. Pre-Processing

Cleaning, normalization and structuring

↓

3. AI Analysis

Processing via LLM API

↓

4. Decision & Action

Trigger actions based on results