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LangGraph

LangGraph orchestration

Stateful agents with checkpoints, branches and human approval — production-grade, not prototype chains.

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LangGraph is a framework for stateful multi-actor LLM applications. Bober AI Systems uses it as standard orchestration for sales agents, document approval bots and support copilots.

Graph nodes: classify → retrieve → propose action → human approve → execute tool → verify. Checkpoints allow resume after restart or overnight wait.

Integrations via MCP tools and custom APIs. Same graphs power text and voice channels.

Observability: LangSmith or OpenTelemetry traces per node — visible failure points.

First production graph: 3–6 weeks. Part of llm-development and ai-agent offerings.

We train client teams on graph extension — add node, not rewrite system.

Simple chain limits

  • —Linear LangChain chains fail on retry and resume
  • —Long workflows lose state on crash
  • —No explicit human approval nodes
  • —Multi-step LLM debugging is opaque

Deliverables

  • —LangGraph graph design and implementation
  • —PostgreSQL checkpoints for durable state
  • —Human-in-the-loop UI or Telegram approve
  • —Tracing, eval, production deployment

Approach

01

Graph design

State schema, nodes, edges, interrupt points.

02

Implementation

Python, tests per node, mock tools.

03

Persistence

Checkpointer, thread IDs, concurrency.

04

Production

API expose, scaling, monitoring.

LangGraph runtime

  • —Graph definition (Python) + compiled app
  • —PostgreSQL checkpointer
  • —Tool/MCP execution layer
  • —FastAPI endpoint / worker queue
  • —Eval harness per graph path

Impact

resume

long workflows after failure

−40%

debug time vs ad-hoc chains

3–6 wks

first production graph

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FAQ

LangGraph vs Temporal?
LangGraph LLM-native. Temporal broader — can combine.
JS or Python?
Python for LLM ecosystem.
Streaming?
Node-level streaming to UI.
Graph versioning?
Feature flags, parallel graph versions.
Cost?
Included in agent/LLM project quotes.
Training?
Workshop on graph patterns for client devs.

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Stateful agents with checkpoints, branches and human approval — production-grade, not prototype chains.