langgraph
LangGraph Workflow Patterns
Comprehensive patterns for building production LangGraph workflows. LangGraph 1.x is LTS (Long Term Support) — the first stable major release, powering agents at Uber, LinkedIn, and Klarna. Each category has individual rule files in rules/ loaded on-demand.
LangGraph 1.2 (Q1 2026) — new in this bump:
- Deferred nodes (
defer=Trueonadd_node) — the node runs only after all other upstream nodes for the current super-step have completed, which makes "aggregate once everyone else is done" patterns a one-liner instead of a custom reducer.- Pre/post model hooks on
create_react_agent(...)andToolNode— inject compression, summarization, or PII redaction without subclassing.- Node-level caching via
CachePolicy(ttl=..., key_func=...)withSqliteCacheandRedisCachebackends (pluggable viagraph.compile(cache=...)). Idempotent nodes skip recomputation on replay.
Quick Reference
| Category | Rules | Impact | When to Use |
|---|---|---|---|
| State Management | 4 | CRITICAL | Designing workflow state schemas, accumulators, reducers |
| Routing & Branching | 4 | HIGH | Dynamic routing, retry loops, semantic routing, cross-graph |
| Parallel Execution | 3 | HIGH | Fan-out/fan-in, map-reduce, concurrent agents |
| Supervisor Patterns | 3 | HIGH | Central coordinators, round-robin, priority dispatch |
| Tool Calling | 4 | CRITICAL | Binding tools, ToolNode, dynamic selection, approvals |
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