- `pip shigar langchain dspy stackgen': Sanya LangChain, DSPy, da StackGen.
daga langchain shigo da LLAMA: Shigo da wakilin LLAMA daga LangChain.agent = LLAMA(...): Ƙirƙiri wakili na LLAMA.def analyze_logs(logs): ...: Ƙayyade aiki don nazarin rajistan ayyukan ta amfani da wakilin AI.- 'daga stackgen shigo da StackGen': Shigo da misalin StackGen daga StackGen.
stackgen = StackGen(): Ƙirƙiri misali na StackGen.def deploy_and_scale(): ...: Ƙayyade aiki don turawa da sikelin ta amfani da StackGen.daga dspy shigo da Pipeline: Shigo da Pipeline aji daga DSPy.bututu = Pipeline(): Ƙirƙirar bututun mai.bututun.add_task(analyze_logs): Ƙara wakilin AI zuwa bututun.
Kallon gani
Anan ga hangen nesa na tsarin ZeroOps ta amfani da Chart.js: Json { "type": "bar", "data": { "labels": ["Agent AI", "Kayan Aikin Orchestration", "Bututun Kimiyyar Bayanai"], "datasets": [ { "label": "Tsarin ZeroOps", "bayanai": [10, 20, 30], "Bayan launi": ["#4CAF50", "#FF9800", "#2196F3"] } ] }, "zaɓi": { "take": { "nuna": gaskiya, "rubutu": "Kayan aikin tsarin ZeroOps" }, "ma'auni": { "yAxes": [ { "zama": { "beginAtZero": gaskiya } } ] } } }
Wannan hangen nesa yana nuna manyan sassa uku na tsarin ZeroOps: wakilin AI, kayan aikin ƙungiyar, da bututun kimiyyar bayanai.
## Kammalawa
ZeroOps wata hanya ce ta juyin juya hali ga gudanar da ababen more rayuwa wanda ke ba da damar wakilan AI da kayan aikin kade-kade don ƙirƙirar hanyoyin warkarwa da kai, haɓaka kayan aikin kai. Ta amfani da LangChain, DSPy, da StackGen, za mu iya gina tsarin ZeroOps wanda ke sarrafa ayyuka kamar saka idanu, scaling, da matsala.
A cikin wannan labarin, mun ba da misali mai amfani na aiwatar da ZeroOps ta amfani da LangChain, DSPy, da StackGen. Mun kuma bayar da hangen nesa na tsarin ZeroOps ta amfani da Chart.js.
Muna fatan wannan labarin ya ba da cikakken bayyani na ZeroOps da yuwuwar sa don canza yadda muke sarrafa abubuwan more rayuwa.