SERVICE DETAIL
AI Engineering & Multi-Agent Systems
We engineer production-grade AI systems that run predictably within strict operational boundaries. Moving far beyond fragile single-prompt scripts, we build persistent state machines and verified retrieval networks.
Core Problem Addressed
Demos work easily, but production LLM applications break on non-deterministic outputs, API rate limits, hallucinated schemas, and missing state persistence.
Architecture & Approach
Using LangGraph and Pydantic, we wrap LLMs inside deterministic orchestration frameworks. Every LLM response is type-checked, schema-validated, and recorded in a persistent state graph.
Engineering Steps
01State Graph Design & Boundary Definition
02RAG Index & Vector Hybrid Search Setup
03Pydantic Guardrail Schema Implementation
04Human Verification Gate Integration
05State Persistence & Telemetry Logging
DELIVERABLES
- ✓Fully documented state graph architecture
- ✓Production FastAPI backend service
- ✓Custom verification UI for human operators
- ✓Complete OpenTelemetry / LangSmith observability setup