Documentacion renderizada
Esta pagina renderiza Markdown y Mermaid del modulo directamente desde la fuente publica de documentacion.
Overview#
The Chat domain provides a conversational AI interface for investigation workflows, enabling interactive analysis, question-and-answer sessions, and investigation assistance through natural language dialogue. It maintains conversation history across sessions, supports real-time streaming responses, and can incorporate investigation-specific context for more relevant and informed assistance.
Key Features#
- Multi-Turn Dialogue -- Maintains full conversation history across exchanges, enabling follow-up questions and contextual continuity throughout an analysis session
- Session Management -- Unique session tracking with token usage monitoring and investigation linking for organized, traceable AI interactions
- Investigation Context -- Conversations can be scoped to specific investigations, automatically incorporating case-specific data for more relevant AI responses
- Streaming Responses -- Real-time progressive output delivery provides better responsiveness for longer analytical responses
- Token Usage Tracking -- Accurate counting of tokens used per session and conversation for cost management and usage monitoring
- Customizable System Prompts -- Configurable AI behavior and context through system prompts tailored to specific analysis domains
- History Windowing -- Intelligent context management limits conversation history to stay within processing limits while preserving the most relevant exchanges
- Message Role Structure -- Clear separation of system instructions, user queries, and AI responses for well-organized conversation flows
- Graceful Error Handling -- Streaming interruptions and processing errors are handled gracefully without losing conversation state
Use Cases#
- Investigators engage in multi-turn dialogue with the AI about case details, asking follow-up questions and receiving contextually aware analysis that builds on previous exchanges.
- Analysts use investigation-scoped chat sessions to explore case data through natural language, asking questions like "What patterns do you see in the financial transactions?" with the AI having full case context.
- Teams use streaming chat responses during live briefings to get real-time analytical input on investigation developments.
- Data analysts leverage the chat interface to explore complex datasets through conversational queries, receiving structured analysis and recommendations.
Integration#
The Chat domain connects to the platform's AI orchestration layer for model routing, the investigation domain for case context, the RAG (retrieval-augmented generation) system for document-aware responses, and the analysis tools for deeper analytical capabilities.
Last Reviewed: 2026-02-05