Kwenzekeni
I-Amazon ibuyekeze insizakalo yayo ye-Bedrock ukuze isekele amamodeli esisindo avulekile kuma-ejenti wokubhala amakhodi we-AI, igqamisa ngokukhethekile ithuluzi le-OpenCode le-terminal-native. Lokhu kuhlanganiswa kuvumela onjiniyela ukuthi benze umzila wemisebenzi yokubhala amakhodi—njengokuhlela, ukukhiqiza ikhodi, nokulungisa iphutha—kumamodeli ahlukene ngokusekelwe ezidingweni ezithile njengokujula kokucabanga noma umphumela. Izakhiwo zigcina idatha ngaphakathi kwe-akhawunti yomsebenzisi ye-AWS, kusetshenziswa i-Bedrock Converse API ukuze ithole incazelo ngaphandle kokudinga ukuphathwa kwe-GPU yendawo noma ukubhaliswa kwesihlalo ngasinye.
I-Amazon Bedrock manje isekela amamodeli esisindo avulekile ama-ejenti wokubhala amakhodi we-AI, okuvumela abathuthukisi ukuthi basebenzise ithuluzi le-OpenCode CLI ukuze baphathe imisebenzi yokuthuthukisa isofthiwe. Uhlelo luklanyelwe ukugcina yonke ikhodi, ukwaziswa, kanye nezimpendulo ku-akhawunti yomsebenzisi AWS, ukuqinisekisa ukuhlala kwedatha nokuhambisana.
Izakhiwo zisekela ukuhamba komsebenzi kwamamodeli amaningi, lapho abasebenzisi banganikeza khona amamodeli athile ezindimeni ezahlukene. Isibonelo, imodeli enzima yokucabanga efana ne-Kimi K3 ingasetshenziselwa ukuhlela, kuyilapho imodeli yokuphumelela okuphezulu efana ne-NVIDIA Nemotron 3 Super 120B iphatha ukukhiqizwa kwekhodi. Lokhu kulungiselelwa kulawulwa ngefayela lendawo le-opencode.json.
Amanani asekelwe ekusetshenzisweni ngezigaba ze-Amazon Bedrock: Okubalulekile kwemisebenzi ezwelayo ukubambezeleka, Izinga lokunquma lapho kudingeka khona, kanye ne-Flex yokucubungula inqwaba ngenani eliphansi elingu-50%. Isevisi ayisebenzisi okokufaka kwekhasimende noma okuphumayo ukuze iqeqeshe amamodeli ayo ayisisekelo.
Ukuhlanganiswa kusekela ingqalasizinda yezokuphepha ye-AWS ekhona, ehlanganisa izinqubomgomo ze-IAM, AWS CloudTrail yokugawulwa kwemithi, kanye ne-Amazon Bedrock yokuhlunga okuqukethwe kanye nokuphinda kwenziwe kabusha kwe-PII.
Imininingwane yomthombo: aws.amazon.com ↗
Kungani kubalulekile
Lokhu kuthuthukiswa kubhekana nokukhathazeka okubalulekile kwebhizinisi mayelana nokuhlala kwedatha, izindleko, nokukhiya komthengisi ekuthuthukisweni okusizwa yi-AI. Ngokuvumela ukusetshenziswa kwamamodeli esisindo esivulekile ngesevisi ephethwe, i-AWS ivumela izinhlangano ukuthi zigcine ukuphepha okuqinile nokuhambisana namazinga (afana ne-HIPAA ne-SOC 2) kuyilapho zisebenzisa izinzuzo zokusebenza nokwenza ngendlela oyifisayo amamodeli omthombo ovulekile. Ikhono lokuhambisa imisebenzi kumamodeli ahlukene—njengokusebenzisa amamodeli anengqondo kakhulu ukuhlela namamodeli asheshayo okusetshenziswa—linikeza indlela engokoqobo yamathimba ukuze athuthukise izindleko nokusebenza ezindaweni zokukhiqiza.
Ukushintshela kumamodeli esisindo esivulekile kuvumela izinhlangano ukuthi zigweme imikhawulo yama-API wobunikazi, wezinkampani zangaphandle, njengokulayisensa kwesihlalo ngasinye kanye nokuntuleka kwemodeli yokuguquguquka.
Ngokusebenzisa ingqalasizinda ephethwe yi-Bedrock, izinkampani zingasebenzisa ama-ejenti wokufaka amakhodi we-AI ngaphandle kokunikeza noma ukugcina amaqoqo azo e-GPU.
Indlela yomzila wamamodeli amaningi yenza amaqembu akwazi ukulinganisa izindleko nokusebenza ngokuqhathanisa imodeli efanele nobunkimbinkimbi obuthile bomsebenzi, okungenzeka kunciphise izindleko eziphelele zobunikazi bokugeleza komsebenzi wobunjiniyela osizwa yi-AI.
Ukufakwa kwezilawuli zokuphepha zezinga lebhizinisi kuqinisekisa ukuthi ikhodi yobunikazi ebucayi ihlala ivikelekile, okuwumgoqo oyinhloko wokwamukelwa kwabasizi bekhodi be-AI emikhakheni elawulwayo.
I-Interactive Mechanism: Indlela Esebenza Ngayo Ngempela
Hlola ubuchwepheshe obuyisisekelo ngemuva kwalokhu kuthuthukiswa ngokuhlanganyela.
What most distinguishes an AI agent from a basic chatbot?
Ongakubuka ngokulandelayo
Umthelela wesikhathi eside waleli su lamamodeli amaningi omzila ezindlekweni zokuthuthukiswa kwe-AI yebhizinisi kanye nokwamukelwa kwamamodeli anesisindo esivulekile ezimbonini ezilawulwayo. Ukwengeza, ukuvela kwezinhlelo zama-ejenti azithuthukisayo, njenge-'SkillClaw' esekwe ocwaningweni okukhulunywe ngayo ikhasimende le-AWS Ethara.AI, iphakamisa ukushintshela kuma-ejenti ajwayela ukuziphatha kwawo ngokusekelwe emlandweni wokubulawa. Ukuqapha ukuthi lezi zendlalelo ze-orchestration zifinyelela kanjani emaqenjini amakhulu onjiniyela kuzobaluleka ekuhloleni ukuvuthwa kokugeleza kokusebenza kwekhodi ye-ejenti.
Ukusebenza kahle kwesakhiwo 'somzila wamamodeli amaningi' ezindaweni zokukhiqiza zomhlaba wangempela njengoba amaqembu edlula ukusetha konjiniyela oyedwa.
Ukuthuthukiswa kwezinhlaka ze-ejenti ezithuthukisayo eziguqukayo ngokusekelwe kumzila ophumelelayo wokubulala, njengoba kuboniswa abamukeli bokuqala njenge-Ethara.AI.
Ukunwetshwa okuqhubekayo kwekhathalogi yemodeli ye-Amazon ye-Bedrock nokuthi iqhathaniswa kanjani nezinye izindlela zobunikazi kumabhentshimakhi afana ne-Artificial Analysis Coding Index.