Bounded State Graphs Beat Open-Ended Agent Loops
Unconstrained autonomous loops look impressive in three-minute demos and fail catastrophically in enterprise software: agents retry failed API calls infinitely, hallucinate destructive tool arguments, or consume fifty thousand tokens on a two-step support ticket. Production agentic engineering requires deterministic state machines where language models reason within strict graph transitions, typed tool schemas, and explicit budget ceilings.
At Eternitech, our agent engineers architect workflow orchestrators in Python (FastAPI), TypeScript, and LangGraph / custom state graphs—supervised by veteran operators in Miami and Tel Aviv who understand transactional idempotency, security scopes, and enterprise SLA accountability.
Core Agentic Capabilities We Engineer
- Typed Tool-Calling & Idempotent Execution: Every external CRM, ERP, billing, or database action is wrapped behind JSON Schema contracts, Redis idempotency keys, and dry-run validation.
- Human-in-the-Loop Approval UX: Streaming Server-Sent Events (SSE) action previews in Next.js and Slack that pause high-impact mutations (refunds, outbound emails, record deletions) until an authorized operator approves.
- Model Context Protocol (MCP) Ecosystems: Standardized OAuth 2.1-scoped MCP servers exposing your product safely to Claude, Cursor, and enterprise agent hosts.
- Trajectory Tracing & Loop Circuit Breakers: Full OpenTelemetry span logging across every planner step, tool latency, and token cost—paired with hard step and dollar caps per run.
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Built on Twenty Years of Distributed Systems Discipline
An AI agent is only as reliable as the queues, retries, permissions, and APIs underneath it. Because our retained bench has spent two decades building mission-critical Fintech, Healthtech, and B2B SaaS systems, your agents ship with real distributed-systems resilience rather than brittle notebook glue code.
Frequently Asked Questions
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