**Kuita Agentic AI muDevOps otomatiki ine StackGen uye DSPy **
Introduction
Iyo DevOps mamiriro ari kukurumidza kushanduka, nekuwedzera kutorwa kweArtificial Intelligence (AI) uye Machine Kudzidza (ML) matekiniki ekuita otomatiki uye nekugonesa mafambiro ebasa. Chimwe chezviitiko zvinonyanya kufadza munzvimbo ino kubuda kweAgentic AI, iyo inogonesa masisitimu kudzidza, kugadzirisa, uye kuita sarudzo vakazvimirira. Muchinyorwa chino, tichaongorora maitiro ekuita Agentic AI muDevOps otomatiki uchishandisa StackGen uye DSPy, tichitarisa kusimudzira nzira yakarongeka uye kubatanidza neLangChain yekuvandudza vamiririri.
Chii chinonzi Agent AI?
Agentic AI inoreva mhando yeAI inoratidza hungwaru maitiro, akafanana neaya emumiririri wevanhu. Inogona kudzidza kubva pane zvakaitika, kujairana nemamiriro matsva, uye kuita sarudzo yakazvimirira, kazhinji ine chinangwa-yakanangana nemaitiro. Muchirevo cheDevOps otomatiki, Agentic AI inogona kushandiswa kugadzirisa mafambiro ebasa, kufanotaura nekudzivirira kukanganisa, uye kugadzirisa kuvimbika kwese kwehurongwa.
StackGen: Yakarongeka Nzira yeDevOps otomatiki
StackGen ndeye yakavhurika-sosi sisitimu yekuvaka uye kutonga yakaoma software masisitimu. Inopa nzira yakarongeka yeDevOps otomatiki, ichibvumira vanogadzira kutsanangura uye kuita mafambiro ebasa sekodhi. StackGen yakavakirwa pamusoro peiyo modular architecture, iyo inogonesa kusanganisa nyore neakasiyana maturusi uye matekinoroji.
DSPy: Dhata Pipelining yeDevOps otomatiki
DSPy iraibhurari yePython yekuvaka mapaipi edatha muDevOps otomatiki. Inopa nzira iri nyore uye inoshanda yekugadzirisa nekushandura data, zvichiita kuti ive sarudzo yakanaka yekubatanidza neStackGen. DSPy inotsigira kwakasiyana data masosi, kusanganisira mafaera, dhatabhesi, uye APIs, uye inogona kushandiswa kuita mabasa akadai sekuchenesa data, kusefa, uye kuunganidza.
LangChain: Kuvandudzwa kweAgent yeAgentic AI
LangChain iraibhurari yePython yekuvaka yekukurukurirana AI vamiririri. Inopa iri nyore uye intuitive API yekutsanangura uye kudzidzisa vamiririri, zvichiita kuti ive sarudzo yakanaka yekubatanidza neStackGen uye DSPy. LangChain inotsigira akasiyana maejenti ekuvaka, kusanganisira kutonga-kwakavakirwa uye muchina kudzidza-kwakavakirwa vamiririri.
**Kuita Agentic AI neStackGen uye DSPy **
Kushandisa Agentic AI muDevOps otomatiki uchishandisa StackGen uye DSPy, isu tichatevera yakarongeka maitiro:
- ** Tsanangura iyo Workflow **: Tsanangura mafambiro ebasa sekodhi uchishandisa StackGen. Izvi zvinosanganisira kugadzira iyo StackGen yekumisikidza faira inotsanangura mabasa uye kutsamira kunodiwa pakufambiswa kwebasa.
- ** Batanidza neDSPy **: Batanidza DSPy neStackGen kugadzirisa uye kushandura data. Izvi zvinosanganisira kugadzira pombi yeDSPy inogona kuitwa sechikamu chekufamba kwebasa.
- ** Gadzira Mumiririri **: Gadzira Agentic AI agent uchishandisa LangChain. Izvi zvinosanganisira kutsanangura dhizaini yekuvaka uye kuidzidzisa pane yakakodzera data.
- ** Batanidza neStackGen **: Batanidza mumiririri weLangChain neStackGen, uchibvumira mumiririri kuti aite zvisarudzo achizvimiririra sechikamu chekufamba kwebasa.
**Muenzaniso Code: Agentic AI Mumiririri ane LangChain **
Heino muenzaniso kodhi block inoratidza maitiro ekugadzira Agentic AI mumiriri uchishandisa LangChain:
import langchain
kubva ku langchain.agents import ChainAgent
mumiririri = ChainAgent (
zita = "mumiririri_wangu",
cheni=[
langchain.Tasks(
mabasa=[
langchain.Tasks(
mabasa=[
langchain.Tasks(
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