Samfurin Samfurin sigina na OpenTelemetry<\/a> yana da amfani a matsayin tushe saboda debugging na zamani na samarwa yana dogara da alamomi, ma'auni, bayanai, da mahallin da ke motsawa tare.<\/p>\n\n\n\n SigNoz<\/a> shine kayan aiki na farko da za mu kimanta don \u0199ungiyoyin da ke son lura da LLM a cikin fa\u0257in tsarin lura da injiniya. Yana da OpenTelemetry-native kuma yana kawo alamomi, ma'auni, bayanai, kurakurai, dashboards, da fa\u0257akarwa cikin dandamali \u0257aya.<\/p>\n\n\n\n A ShareAI, muna amfani da SigNoz a matsayin muhimmin dandalin lura da komai da kuma tsarin bin diddigin. Wannan yana da mahimmanci saboda matsalolin AI ba su cika tsaya cikin kira \u0257aya na samfurin ba. Mummunan amsa na iya ha\u0257awa da jinkirin API, hanyar mai bayarwa, sake gwadawa, lokacin bayanai, halayen jerin aiki, abubuwan biyan ku\u0257i, da kurakurai na matakin app. SigNoz yana ba \u0199ungiyar wuri \u0257aya don ha\u0257a wa\u0257annan alamomin maimakon tsalle-tsalle tsakanin kayan aiki masu zaman kansu.<\/p>\n\n\n\n SigNoz yana da \u0199arfi musamman lokacin da kake son alamomin LLM su kasance kusa da na yau da kullum na aikace-aikace da na tsarin kayan aiki. Ga \u0199ungiyoyin da ke tunani a cikin OpenTelemetry, taswirar sabis, alamomin jinkiri, ha\u0257in bayanai, da fa\u0257akarwa, hakan yana sa SigNoz ya zama tushe mai amfani don tsarin AI na samarwa.<\/p>\n\n\n\n Mafi dacewa ga:<\/strong> \u0199ungiyoyin da ke son lura da LLM, lura da app, alamomin kayan aiki, da bin diddigin a wuri \u0257aya.<\/p>\n\n\n\n Langfuse<\/a> za\u0253i mai \u0199arfi na bu\u0257e-tushen don bin diddigin aikace-aikacen LLM. An gina shi a kusa da alamomi, zaman, lura, amfani da token, jinkiri, sarrafa tambaya, bayanai, gwaje-gwaje, da kimantawa.<\/p>\n\n\n\n Langfuse ya dace lokacin da aikin injiniyan AI kansa shine cibiyar nauyi. Idan \u0199ungiyar ku tana son maimaita tambaya, binciken alamomi, bin farashi, da ayyukan kimantawa a cikin ke\u0253a\u0253\u0253en ke\u0253a\u0253\u0253en LLM, Langfuse yana \u0257aya daga cikin za\u0253u\u0253\u0253uka mafi bayyanawa.<\/p>\n\n\n\n Mafi dacewa ga:<\/strong> \u0199ungiyoyin masu ha\u0253akawa da ke son bu\u0257e-tushen bin diddigin LLM, sarrafa tambaya, da ayyukan kimantawa.<\/p>\n\n\n\n LangSmith<\/a> za\u0253i ne na dabi'a ga \u0199ungiyoyin da ke gina tare da LangChain ko LangGraph. Yana mai da hankali kan bin sawu, sa ido, kimantawa, fa\u0257akarwa, da gyaran samarwa don aikace-aikacen LLM da wakilai.<\/p>\n\n\n\n Babban fa'ida ita ce dacewar yanayi. Idan \u0199ungiyar ku ta riga tana amfani da LangChain sosai, LangSmith na iya sa sawu, gudanar da kimantawa, da gyaran wakilai su yi kama da yanayin ci gaba.<\/p>\n\n\n\n Mafi dacewa ga:<\/strong> \u0198ungiyoyin LangChain da LangGraph wa\u0257anda ke son ganin abin da ke faruwa daidai da tsarin wakilansu.<\/p>\n\n\n\n Helicone yana da amfani ga \u0199ungiyoyin da ke son wani nau'in haske mai sau\u0199i a kusa da zirga-zirgar API mai dacewa da OpenAI. Sau da yawa yana da jan hankali lokacin da matsalar farko ta kasance mai sau\u0199i: ganin bu\u0199atun, jinkiri, amfani da samfurin, kurakurai, masu amfani, da farashi ba tare da gina wani nau'in nazari na musamman ba.<\/p>\n\n\n\n Helicone ba koyaushe shine mafi zurfin dandamali mai cikakken tsari ba, amma yana da amfani ga \u0199ungiyoyin da ke bu\u0199atar ganin API cikin sauri da kuma lura da farashi a duk kiran LLM.<\/p>\n\n\n\n Mafi dacewa ga:<\/strong> \u0199ananan kamfanoni da \u0199ungiyoyin samfur wa\u0257anda ke son ganin API na LLM cikin sauri da kuma ganin yadda ake amfani da shi.<\/p>\n\n\n\n Arize Phoenix<\/a> dandamali ne na bu\u0257a\u0257\u0257en tushe don ganin abin da ke faruwa da AI da kimantawa. Yana tallafawa bin sawu, tsara tambayoyi, bayanai, gwaje-gwaje, da hanyoyin kimantawa, tare da tallafi don kayan aikin OpenTelemetry da OpenInference.<\/p>\n\n\n\n Phoenix yana da amfani lokacin da gyaran kurakurai bai isa ba kuma kuna bu\u0199atar inganta ingancin sakamako tare da bayanan kimantawa. \u0198ungiyoyi na iya duba gudanarwa \u0257aya-\u0257aya, kimanta sakamako, kwatanta canje-canjen tambayoyi, da juya halayen samarwa zuwa hujja don maimaitawa.<\/p>\n\n\n\n Mafi dacewa ga:<\/strong> \u0199ungiyoyin da ke damuwa da kimantawa na LLM, gwaje-gwaje, da inganta inganci kamar yadda suke damuwa da bin sawu.<\/p>\n\n\n\n PromptLayer<\/a> yana ha\u0257a ganin abin da ke faruwa da sarrafa tambayoyi. Yana bin sawu na bu\u0199atun, tsawo, farashi, jinkiri, nau'ikan tambayoyi, da nazari don \u0199ungiyoyi su fahimci halayen samarwa da canje-canjen tambayoyi.<\/p>\n\n\n\n PromptLayer ya dace sosai lokacin da ayyukan tambaya sune babban tsarin aiki. Idan \u0199ungiyarku tana yawan tambayar wane sigar tambaya ya haifar da koma baya, wane bu\u0199ata ta karye, ko yadda tambaya ke aiki a cikin samfura, PromptLayer yana ri\u0199e da wannan tarihin kusa da madauki debugging.<\/p>\n\n\n\n Mafi dacewa ga:<\/strong> \u0199ungiyoyin da suke son sigar tambaya, nazarin tambaya, da lura da bu\u0199atun LLM tare.<\/p>\n\n\n\n1. SigNoz<\/h2>\n\n\n\n
![\"\"](\"https:\/\/shareai.now\/wp-content\/uploads\/2026\/06\/image-4-1024x485.jpg\")
<\/figure>\n\n\n\n2. Langfuse<\/h2>\n\n\n\n
![\"\"](\"https:\/\/shareai.now\/wp-content\/uploads\/2026\/06\/image-4-1-1024x472.jpg\")
<\/figure>\n\n\n\n3. LangSmith<\/h2>\n\n\n\n
![\"\"](\"https:\/\/shareai.now\/wp-content\/uploads\/2026\/06\/image-4-1024x484.png\")
<\/figure>\n\n\n\n4. Helicone<\/h2>\n\n\n\n
![\"\"](\"https:\/\/shareai.now\/wp-content\/uploads\/2026\/06\/image-6-1-1024x490.jpg\")
<\/figure>\n\n\n\n5. Arize Phoenix<\/h2>\n\n\n\n
![\"\"](\"https:\/\/shareai.now\/wp-content\/uploads\/2026\/06\/image-5-1024x489.png\")
<\/figure>\n\n\n\n6. PromptLayer<\/h2>\n\n\n\n
![\"\"](\"https:\/\/shareai.now\/wp-content\/uploads\/2026\/06\/image-6-1024x487.jpg\")
<\/figure>\n\n\n\nKayan aikin lura da LLM an kwatanta<\/h2>\n\n\n\n