LangGraph Architecture Consultation

About this Gig

Title: LangGraph & Multi-Agent System Architecture Review Short tagline: One-on-one consulting to design or debug your agentic AI workflow before you ship. Description: Stuck designing your agent graph? Hitting infinite loops, state-management chaos, or unclear node boundaries? I'll review your existing setup or whiteboard a new one with you — covering state design, node decomposition, error isolation (circuit breakers, idempotency), and orchestration with Celery/SQS. Deliverables: Architecture diagram with state schema and node responsibilities Failure-mode analysis (where it'll break under load) Concrete refactor or build plan with tech choices justified 1–2 follow-up calls for implementation questions Best for: teams 1–2 weeks into a LangGraph build who want a second pair of eyes before scaling.

Requirements

1.Project context — a short summary of what you're building, the problem it solves, and where you are in the build (planning, mid-build, or debugging an existing system). 2.Current architecture (if any) — your existing LangGraph state schema, node structure, or a rough diagram. Even a whiteboard photo or bullet-point description works. If you have code, a GitHub repo link or relevant snippets help me give specific feedback. 3.The core problem or question — what's blocking you? Examples: infinite loops, unclear state management, deciding between single-agent vs multi-agent, error handling, scaling concerns, choosing between LangGraph and alternatives. 4.Tech stack & constraints — LLM providers you're using or considering (OpenAI, Anthropic, Gemini), deployment target (AWS, GCP, local), latency/cost requirements, and any non-negotiables. Sample inputs/outputs — 1–2 real examples of what flows through your system (a sample query, document, or workflow trigger and the expected outcome). This helps me design the right state and node boundaries. 5.Goals for the session — what does success look like for you? A reviewed architecture diagram, a refactor plan, a decision between two approaches, or a build roadmap? 6.Preferred call time & timezone — so we can schedule the consultation efficiently.

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