Agent
Router Agent
Classifies intent and orchestrates A2A coordination across specialized agents.
- Intent routing
- Task decomposition
- Response aggregation
Multi-agent architecture
Enterprise Multi-Agent Financial Intelligence
A production-oriented AI system implementing Router Agents, Task Agents, RAG pipelines, and Agent-to-Agent coordination.
System Overview
Router Agent
Finance Analyst
RAG Policy
Tool Agent
FastAPI
Vector Store
LLM
Observability
This UI is a preview. The full agent orchestration runs on the backend.
Architecture
System Components
A modular, production-oriented multi-agent architecture designed for enterprise workflows.
Agent
Finance Analyst Agent
Runs analysis over transactional datasets and highlights anomalies and patterns.
- Rule-based anomaly checks
- Metrics summaries
- Report generation
RAG
RAG Policy Agent
Answers with grounding using company policies and finance playbooks indexed in a vector store.
- Chroma vector store
- Citations-ready context
- Policy Q&A
Agent
Tool Agent
Executes tools safely (ERP mock APIs, SQL, validators) and returns structured outputs.
- Tool calling
- Input validation
- Safe execution boundaries
Backend
FastAPI Backend
Async API surface for chat + agent workflows with clean separation of layers.
- /v1/chat endpoint
- Async services
- Clean Architecture
RAG
Vector Store
Local-first retrieval for MVP. Designed to swap to managed vector DB later.
- Document ingestion
- Embedding pipeline
- Pluggable interface
Backend
LLM Provider
LLM inference via provider API. Prompt versioning and guardrails supported.
- Prompt templates
- Token budgeting
- Fallback strategy
Ops
Observability
Structured logs and tracing-friendly metadata for production diagnosis.
- request_id correlation
- JSON logs
- Error taxonomy
Design note
Each component is replaceable behind interfaces. The MVP uses Chroma locally, but the same contracts support managed vector databases or Cloud SQL + pgvector when scaling.
Coordination
Agent-to-Agent Orchestration
A deterministic, production-friendly flow where the Router Agent owns the plan and delegates to specialized agents and tools.
Execution Flow
User
1
User Input
Natural language request enters the system through the /v1/chat API surface.
Router
2
Router Agent
Classifies intent, selects agent plan, and coordinates A2A handoffs.
Agents
3
Task Agents
Finance, RAG Policy, and Tool agents execute their specialized tasks in parallel/sequence.
Tools
4
Tool Execution
Structured tool calls (ERP mock API, validators, queries) run with strict boundaries.
Output
5
Response Aggregation
Router composes a final answer with structured results and (optionally) citations.
Tech Stack
Production-Oriented Stack
Chosen to demonstrate deployability, modularity, and enterprise-safe agent orchestration in an MVP timeline.
Core
Infra
AI
Quality
Demo
Try the Assistant
Front-end chat wired to /v1/chat. Supports mock mode, trace IDs, tool events, and citations.
Demo Chat