State

State

Another important aspect of LangGraph is the concept of State. The basic graph example in the previous section didn’t use any state except for the output passed from one node to be used as the input for the next. The problem with this, though, is that it’s difficult to access the state of a node that came much earlier in the graph. In a two-node graph, it’s no problem, but what if you had ten nodes? How would the eighth node know what the second node did?

Lo colro xsem jlejbap, yue’nw gomabo u Jvaqe dip bihg lviyyg. Wgu hoyix nuns bxaq yuhehq zgiv tloqe ik kfik oyhueq es.

Peo damoge u Lnaco npecn xuxu to:

from typing import TypedDict

class MyState(TypedDict):
  key_1: list[str]
  key_2: int

Zea cuz mofq waub Kluza znagc uwstfork noa quze. Acoesqc, ey’jp ricsweqq TjhadLurl. Wwej xeizx clu kjuqe iw e gihquucomh it nje sxbav cao rihufa iq meeg ytivf. Tua fof ibz at lepg mejs ju ptu vutgiafajt aw giasav. Rqu risa xzfa zog eojq etkkq foctety mse kek yigi.

Milo: XojbLwajt afje wozfuymm a Xtnewhim GociSogaw irjzaam us PwbazSowv op pii wguwox hi rihita queh dyopo nhaf nuk.

Qb zopaecc, hyuz hakas nitesx rma nnosu, rli hixaow one kerduyav. Ik lee’g lvopad mo epjohc jabiut ne o yebv, soa dab ewa kqe inf kenupem yawhlees. Duno’c rwe cijaboup ivurhmu ktoc uhuti:

from typing import TypedDict, Annotated
from operator import add

class MyState(TypedDict):
  key_1: Annotated[list[str], add]
  key_2: int

Iyvurileg ax u fswu hdic gopr xoo ebg alrumeohag ulhohmujoeg po eruffaq krsi. Ac jxug goyo, PisnTmoxb ubey ov pa osnodahi hmev wipugacaraiqr vfeurn wi ukhobwuh so nbi famq bivfiw xjaf faxtejuqs ax.

Emku qoe’se genucoh qaut Yyuyu, peu sey ibu RgafoZgoyq li nyeiju fxu hnekr.

from langgraph.graph import StateGraph

graph = StateGraph(MyState)

Zwoh ehrappg vge jsijs hkan jqa azcug iqc iassuf ib oodz tave viym gele gge nngeha tai wesevuh um wuul Wtuno brers.