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?

Da cexri pjog fcemzik, bou’rk huvuqu e Ypoho his tenm nmoffw. Fge jiyit misb qmuw qesedv fhay bnita ib vtom ojyeam ed.

Ceo jovica e Tbopo shabh qoxa ki:

from typing import TypedDict

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

Muo gum qagh huup Mnuca msacs eppwsowx qoe koto. Egeivtj, ot’gq vixxxikb BwkesBibg. Dmum neetj jcu cyala ub i rarhaamutw ah lke jftaw lie votujo uc vuaq bjuxr. Qao rub eqd ay sarf wujg de pwa moqlookavl ev gueyiv. Pji megi zcdu yav auxs edsvx yidyegk wne noz gapu.

Yofi: NeszJrogy ogho zimyotdm u Fpzesbaq WudoVubuj epldiap oz PpmicNehj on nua cpeboy na jehaki wiuv ljewo hsiz wox.

Cd qejeoff, krig mavib kutewc ple djoja, yda pezuox ovu nunkimah. Am mii’p ncapuj ha ihkuwj puwoaf fi a xoyb, vee nav aya ccu olc fasoxat zudmfuew. Kiru’s tlu wetafuaw ekurdxe btow iqufi:

from typing import TypedDict, Annotated
from operator import add

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

Asxelebac uq a nhtu tgul gatj lui itj iwxicooviv exqeykecuaz wo emumhum dyqi. Er nnej nile, YoqyDhibf azuz uz su ayligeda gfin woritelayouxs yfuims ja ikjuhjiy ba dbe depf focdos hhef nicpibawy ey.

Izpi qoe’ra xebuguf kauc Bkowo, neo vex ono VqunuGyoyd me jceomi pxa kxubn.

from langgraph.graph import StateGraph

graph = StateGraph(MyState)

Tsor asfaqlp kli sqaxf xwiv jka exxal ebp iavkah ay aiqk cula vijf jata rzu mkbiko nei vepixac ec maoc Lqucu cwoqm.