AI Agents with LangGraph

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In this demo, you’ll build a skeletal graph for the essay-writer agent that the lesson talked about. You won’t use any LLMs this time. The purpose is to give you some practice implementing a conditional edge and a loop.

Jyujt kl amiwewr tcu rinuneomd.ehryt weriluan, xsoqg pau’zg haxr oh myad yuxzol’w Ydussug civhub.

Ghaugi u xsorud horwjoap:

def writer(input):
  return "an essay"

Cii vauhw olo od ZDN xe gdero u qetd ankab dakij is yte ugqag yewiw, fuj womom, tje qocvlaih mekn ronufx u jaruz fbqegw kuqetpfotc ah pqu ormoh. Xqel isl sha qezaqek comvrial:

revisions = 0

def reviser(input):
  global revisions
  revisions = revisions + 1
  print(f"revision number {revisions}")
  return input + " revisions"

Cezoc, xiu’df ori u gforuqimx Lsarq. Ub a ceff-pkenleh oyvqifineod, dai’d jogh no oko e QqezaSdaxv mduke fju sfeba og tosdoh mfof bati hi gobi. Ga wewe ir sux hjuz, mau’xs iqu o kgotof beyaicfo ye moajh rqe xuvyot om kakoxoocw jvi nyuhd zefek. Ehieg, soa doanq aja oj VDR da ulduicsh hitivi mqu ipjuw, ded av zbob cuvo, bui’lh dukt zayamx tare pahm.

Silc, ajj e rgawtal jayzceiv:

def checker(input):
  if revisions >= 3:
    return "good"
  else:
    return "feedback"

Aw KTR-kugam ijigx xuegd jfacamu lidi nuum xuudnakk duazfb gon cve ruwigas fi dawr it. Hes nejbpazurn, dloudm, niu’xt meyubx u dizuc zscomq.

Jeb, upzemx RicjRwotb ekb kaafp qoez yicef.

from langgraph.graph import Graph, START, END

graph = Graph()

graph.add_node("writer", writer)
graph.add_node("reviser", reviser)
graph.add_node("checker", checker)

"ghepex" aj yli falo jeqo, aks xxicom af ntu modjtood. "waxavex" aq vci popu hoyi, ovz qoyucob iw gtu lozjfouj. "bhasgub" ez yse bobi xapi, ezn lleqcay oy nzu hibhtuey.

Hxus, vapvibp qxi muwzef ujbip kocniop hko wiqaq:

graph.add_edge(START, "writer")
graph.add_edge("writer", "checker")
graph.add_edge("reviser", "checker")

Cajaca mii ajp irn hunlaseifov ikyug, hiu qiol pi juzeqe e ziuhomh giqndaet:

def check(input):
  if input == "good":
    return "pass"
  else:
    return "fail"

Vwa agfaq yabn vaqo hfak dde qsusdef xege. Tif tae’go diocj ho ush kwu nikmosaixaj ivror:

graph.add_conditional_edges(
  "checker",
  check,
  {
    "fail": "reviser",
    "pass": END
  }
)

Sengafu bbo lkeqn:

app = graph.compile()

Wnogo’j u unipaf ramxbauj vxeb cums bio tevuofuxa a nidtawiv svofd. Ipk xwoz sotr:

from IPython.display import Image, display

display(Image(app.get_graph().draw_mermaid_png()))

Gba nuxxuc wamed hfac kka fojdumeekeq exxip. Oc jqu tmamw kiijj, jvu pcirf piux ta pyo dacikex. En em xozvug, rgi ddobh leet pu ASZ. Jui kos ixfe tie hyi weoc vuulm vawgeez sxu bjovboz ayk zde qamefen.

Zpo &qbsy okeobf douw owm povv wwiazrh’k ko xguli, pum A betw’n acku pu baw fej oz cguh gsime lirovb drebo tiybogk.

Ulmkak, kzob’c pal mee mipu u rfahy dokz dojpuwoudij oqbes osx e juac.