{"id":45801,"date":"2026-09-02T13:48:00","date_gmt":"2026-09-02T11:48:00","guid":{"rendered":"https:\/\/www.chinasmartbuy.com\/blog\/kimi-api-supporto-codex-claude-code\/"},"modified":"2026-09-02T13:49:11","modified_gmt":"2026-09-02T11:49:11","slug":"kimi-api-supporto-codex-claude-code","status":"publish","type":"post","link":"https:\/\/www.chinasmartbuy.com\/blog\/kimi-api-supporto-codex-claude-code\/","title":{"rendered":"Kimi API supporta ora Codex e Claude Code in modo nativo"},"content":{"rendered":"\n\n<style>\n  :root {\n    --red: #CC1B1B;\n    --red-light: rgba(204,27,27,0.08);\n    --red-mid: #e84040;\n    --accent-soft-bg: rgba(204,27,27,0.07);\n    --accent-soft-border: rgba(204,27,27,0.18);\n    --text: #1a1a1a;\n    --text-muted: #666;\n    --card: #ffffff;\n    --border: #ebebeb;\n    --page-bg: #ffffff;\n    --surface-soft: #fafafa;\n    --surface-contrast: #f0f0f0;\n    --line-soft: #f5f5f5;\n    --soft-label: #bbb;\n    --muted-label: #999;\n    --copy: #333;\n    --font-head: 'Bebas Neue', sans-serif;\n    --font-body: 'DM Sans', sans-serif;\n    --heading-spacing: 0.04em;\n    --heading-weight: 400;\n    --spec-header-spacing: 0.08em;\n    --quickfacts-shadow: 0 10px 24px rgba(15,23,42,0.06);\n  }\n  .fbp5-wrap,.fbp5-wrap * { box-sizing:border-box; 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}\n  .rh-offerbox-links { display:grid; grid-template-columns:repeat(auto-fit,minmax(220px,1fr)); gap:10px; }\n  .rh-offerbox-link { display:flex; align-items:center; justify-content:center; gap:8px; background:var(--red); color:#fff !important; text-decoration:none !important; border-radius:999px; padding:11px 16px; font-size:14px; font-weight:800; text-align:center; }\n  .rh-offerbox-link small { opacity:.82; font-size:11px; font-weight:700; }\n  .rh-offerbox-link svg { width:13px; height:13px; flex-shrink:0; }\n  .rh-offerbox-note { margin:14px 0 0; font-size:12px; line-height:1.55; color:var(--text-muted); }\n  .rh-offer-inline { margin:0; }\n  .rh-offer-inline-wrap { display:flex; align-items:center; justify-content:space-between; gap:16px; background:var(--surface-soft); border:1px solid var(--accent-soft-border); border-left:4px solid var(--red); border-radius:16px; padding:16px 18px; box-shadow:var(--quickfacts-shadow); }\n  .rh-offer-inline-kicker { font-size:10px; font-weight:800; letter-spacing:0.12em; text-transform:uppercase; color:var(--red); margin-bottom:4px; }\n  .rh-offer-inline-title { font-size:15px; line-height:1.35; color:var(--text); font-weight:800; }\n  .rh-offer-inline-store { margin-top:3px; font-size:12px; color:var(--text-muted); font-weight:700; }\n  .rh-offer-inline-cta { display:inline-flex; align-items:center; justify-content:center; gap:8px; flex-shrink:0; background:var(--red); color:#fff !important; text-decoration:none !important; border-radius:999px; padding:11px 16px; font-size:13px; font-weight:800; white-space:nowrap; }\n  .rh-offer-inline-cta svg { width:13px; height:13px; flex-shrink:0; }\n  .rh-offer-inline-note { margin:9px 0 0; font-size:12px; line-height:1.55; color:var(--text-muted); }\n  .rh-external-embed { margin:4px 0 0; }\n  .rh-external-embed-wrap { width:100%; background:#fff; border:1px solid var(--border); border-radius:16px; overflow:hidden; box-shadow:var(--quickfacts-shadow); }\n  .rh-external-embed-head { display:flex; align-items:center; justify-content:space-between; gap:12px; padding:14px 18px; background:var(--surface-soft); border-bottom:1px solid var(--border); }\n  .rh-external-embed-kicker { font-size:11px; font-weight:700; letter-spacing:0.08em; text-transform:uppercase; color:var(--red); }\n  .rh-external-embed-source { font-size:12px; color:var(--soft-label); }\n  .rh-external-embed-frame { position:relative; aspect-ratio:16 \/ 9; overflow:hidden; background:#000; min-height:0; }\n  .rh-external-embed-frame iframe, .rh-external-embed-frame > iframe { position:absolute !important; inset:0; width:100% !important; height:100% !important; min-height:0 !important; max-height:none !important; max-width:none !important; border:0; display:block; }\n  .rh-external-embed-body { padding:18px 20px; display:grid; gap:12px; }\n  .rh-external-embed-title { font-family:var(--font-head); font-size:24px; line-height:1; color:var(--text); letter-spacing:0.02em; }\n  .rh-external-embed-copy { font-size:14px; 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border:1px solid var(--border); border-radius:10px; padding:15px 19px; margin:18px 0 0; font-size:15px; color:var(--text-muted); line-height:1.65; }\n  .fbp5-scheda { background:var(--card); border:1px solid var(--border); border-radius:14px; overflow:hidden; margin:20px 0 0; }\n  .fbp5-scheda-header { background:var(--red); color:#fff; padding:14px 20px; font-family:var(--font-head); font-size:20px; font-weight:var(--heading-weight); letter-spacing:var(--spec-header-spacing); }\n  .fbp5-scheda-row { display:flex; border-bottom:1px solid var(--border); }\n  .fbp5-scheda-row:last-child { border-bottom:none; }\n  .fbp5-scheda-key { width:42%; padding:11px 16px; font-size:13px; font-weight:700; color:var(--text-muted); text-transform:uppercase; letter-spacing:0.06em; background:var(--surface-soft); flex-shrink:0; }\n  .fbp5-scheda-val { padding:11px 16px; font-size:14px; color:var(--text); font-weight:500; line-height:1.5; }\n  @media(max-width:600px) {\n    .fbp5-wrap { padding:0 14px 60px; gap:40px; }\n    .fbp5-section h2 { font-size:32px; }\n    .fbp5-scheda-row { flex-direction:column; }\n    .fbp5-scheda-key { width:100%; }\n    .rh-phonebox-header { padding:18px 16px; flex-direction:column; align-items:center; }\n    .rh-phonebox-hero { width:150px; height:200px; }\n    .rh-phonebox-highlights { grid-template-columns:repeat(2,minmax(0,1fr)); }\n    .rh-phonebox-colors { padding:16px; }\n    .rh-phonebox-section { grid-template-columns:1fr; }\n    .rh-phonebox-section-label { padding:14px 20px; border-right:none; border-bottom:1px solid var(--border); }\n    .rh-phonebox-section-values { padding:14px 20px; }\n    .rh-affbox-grid { grid-template-columns:1fr; }\n    .rh-affbox-col:not(:last-child) { border-right:none; border-bottom:1px solid var(--line-soft); }\n    .rh-affbox-cta { width:100%; }\n    .rh-downloadjump { align-items:flex-start; flex-direction:column; margin:-22px 0 0; }\n    .rh-downloadjump a { width:100%; }\n    .rh-downloadbox-head { flex-direction:column; }\n    .rh-downloadbox-link { width:100%; }\n    .rh-offerbox-head { flex-direction:column; }\n    .rh-offerbox-links { grid-template-columns:1fr; }\n    .rh-offer-inline-wrap { flex-direction:column; align-items:flex-start; }\n    .rh-offer-inline-cta { width:100%; }\n  }\n\n  \/* RH_FBP5_CARDS_CSS_V1 *\/\n  .fbp5-related-grid { display:grid; grid-template-columns:repeat(3,1fr); gap:14px; }\n  .fbp5-telegram-grid { grid-template-columns:repeat(2,1fr); }\n  .fbp5-related-card { display:block; overflow:hidden; border:1px solid var(--border,#ebebeb); border-radius:8px; background:var(--card,#fff); color:inherit !important; text-decoration:none !important; transition:transform .18s ease, box-shadow .18s ease, border-color .18s ease; }\n  .fbp5-related-card:hover { transform:translateY(-2px); border-color:rgba(204,27,27,.35); box-shadow:0 16px 36px rgba(18,18,18,.10); }\n  .fbp5-related-card img { display:block; width:100%; aspect-ratio:16\/9; object-fit:cover; background:var(--surface-soft,#fafafa); }\n  .fbp5-related-thumb-placeholder { width:100%; aspect-ratio:16\/9; display:flex; align-items:center; justify-content:center; background:linear-gradient(135deg,rgba(204,27,27,.10),rgba(204,27,27,.03)); color:var(--red,#CC1B1B); font-family:var(--font-head,'Bebas Neue',sans-serif); font-size:28px; letter-spacing:.04em; }\n  .fbp5-related-body { padding:12px; }\n  .fbp5-related-body span { display:block; margin:0 0 6px; color:var(--red,#CC1B1B); font-size:11px; font-weight:900; letter-spacing:.08em; text-transform:uppercase; }\n  .fbp5-related-body strong { display:block; font-size:15px; line-height:1.25; color:var(--text,#1a1a1a); }\n  .fbp5-related-body small { display:block; margin:7px 0 0; color:var(--text-muted,#666); font-size:13px; line-height:1.35; }\n  @media(max-width:720px) {\n    .fbp5-telegram-grid { grid-template-columns:1fr; }\n    .fbp5-related-grid:not(.fbp5-telegram-grid) { grid-template-columns:1fr; }\n    .fbp5-related-grid:not(.fbp5-telegram-grid) .fbp5-related-card { display:grid; grid-template-columns:112px minmax(0,1fr); align-items:stretch; }\n    .fbp5-related-grid:not(.fbp5-telegram-grid) .fbp5-related-card img,\n    .fbp5-related-grid:not(.fbp5-telegram-grid) .fbp5-related-thumb-placeholder { height:100%; min-height:92px; aspect-ratio:auto; }\n  }\n<\/style>\n<div class=\"fbp5-wrap rh-json-article\" id=\"rh-article-mtk195pn-mygar\" data-rh-article-type=\"news\" data-rh-site-profile=\"china-smart-buy\">\n  <div class=\"fbp5-intro\">\n    \n    <p>Moonshot AI ha aggiornato la <strong>Kimi API<\/strong> con un cambio molto pratico per chi lavora con strumenti di coding assistito: ora supporta in modo nativo i formati OpenAI Responses API e Anthropic Messages API.<\/p><p>La novit\u00e0 rende pi\u00f9 semplice usare la famiglia Kimi anche dentro flussi gi\u00e0 costruiti attorno agli ecosistemi OpenAI e Anthropic. Il vantaggio reale \u00e8 soprattutto operativo: meno configurazioni manuali, integrazione pi\u00f9 pulita e accesso diretto ai modelli tramite provider personalizzato.<\/p>\n  <\/div><figure class=\"wp-block-image size-large\" style=\"margin:18px 0;display:block;clear:both;width:100%;position:relative;z-index:1\"><a href=\"https:\/\/www.chinasmartbuy.com\/blog\/wp-content\/uploads\/2026\/09\/kimi-api-supporta-ora-codex-e-claude-code-in-modo-nativo-b97b5d7a-99bb-4738-8be2-5b3b-1acuki31fi.webp\" target=\"_blank\" rel=\"noopener\" style=\"display:block;width:100%;position:relative;z-index:2;pointer-events:auto;cursor:zoom-in\"><img decoding=\"async\" src=\"https:\/\/www.chinasmartbuy.com\/blog\/wp-content\/uploads\/2026\/09\/kimi-api-supporta-ora-codex-e-claude-code-in-modo-nativo-b97b5d7a-99bb-4738-8be2-5b3b-1acuki31fi.webp\" alt=\"\u56fe\u7247\" loading=\"lazy\" style=\"display:block;max-width:100%;height:auto;margin:0 auto;pointer-events:auto\"><\/a><\/figure>\n  \n\n      <section class=\"fbp5-section\">\n        \n        <h2>Kimi API ora si collega direttamente a Codex e <span>Claude Code<\/span><\/h2>\n        <p>Con l\u2019aggiornamento, il formato compatibile con OpenAI usa come endpoint base l\u2019indirizzo api. moonshot. cn\/v1, mentre la compatibilit\u00e0 con Anthropic passa da api. moonshot. cn\/anthropic. Questo significa che chi utilizza Codex o Claude Code pu\u00f2 puntare all\u2019infrastruttura Kimi mantenendo un\u2019impostazione molto vicina a quella gi\u00e0 prevista da questi strumenti.<\/p><p>Moonshot AI indica che non \u00e8 pi\u00f9 necessario ricorrere a conversioni di richieste o a soluzioni di inoltro installate in locale. Per gli sviluppatori e per chi usa assistenti AI nel coding quotidiano, \u00e8 un dettaglio importante perch\u00e9 riduce attriti tecnici e rende pi\u00f9 rapido il passaggio da un provider all\u2019altro.<\/p>\n        \n        \n        \n        \n        \n      <\/section>\n    \n\n      <section class=\"fbp5-section\">\n        \n        <h2>Quali modelli Kimi sono supportati e cosa <span>cambia nell\u2019uso pratico<\/span><\/h2>\n        <p>Tra i modelli collegabili in questo modo rientrano <strong>kimi-k3<\/strong>, kimi-k2.7-code-highspeed, kimi-k2.7-code e kimi-k2.6. La compatibilit\u00e0 interessa quindi sia modelli pi\u00f9 generali sia varianti pi\u00f9 orientate al codice, con un posizionamento che punta chiaramente agli scenari di programmazione assistita.<\/p><p>Per chi usa il client Codex CLI o l\u2019app desktop di Codex, poi evoluta nell\u2019esperienza ChatGPT desktop, c\u2019\u00e8 un dettaglio da tenere presente: il selettore del modello pu\u00f2 mostrare la voce \u201cpersonalizzato\u201d, anche se in realt\u00e0 il motore attivo \u00e8 Kimi K3 oppure un altro modello Kimi impostato manualmente. \u00c8 un comportamento dell\u2019interfaccia, non una limitazione del collegamento.<\/p>\n        \n        \n        \n        \n        \n      <\/section>\n    \n\n      <section class=\"fbp5-section\">\n        \n        <h2>Supporto multimodale e <span>limiti attuali dell\u2019integrazione<\/span><\/h2>\n        <p>Sul fronte delle capacit\u00e0 in ingresso, il formato OpenAI Responses API supportato da Kimi gestisce testo e immagini, ma non ancora i video. Per le attivit\u00e0 di analisi video il percorso suggerito resta quindi indiretto: estrarre prima i fotogrammi chiave con strumenti come ffmpeg e poi passarli al modello per l\u2019elaborazione.<\/p><p>\u00c8 un limite da considerare, per\u00f2 non riduce il valore dell\u2019aggiornamento nei casi d\u2019uso principali. La novit\u00e0 interessa soprattutto chi cerca un\u2019alternativa pi\u00f9 flessibile per integrare modelli AI nei tool di sviluppo gi\u00e0 usati ogni giorno, con una configurazione pi\u00f9 lineare e senza cambiare ambiente di lavoro.<\/p>\n        \n        \n        \n        \n        \n      <\/section>\n    \n<section class=\"fbp5-section\" data-rh-related-section=\"1\">\n      <div class=\"fbp5-section-label\">Articoli correlati<\/div>\n      <h2>Altre notizie <span>da leggere<\/span><\/h2>\n      <div class=\"fbp5-related-grid\"><a class=\"fbp5-related-card\" href=\"https:\/\/www.chinasmartbuy.com\/blog\/lenovo-lecoo-gt-16-ai-rtx-3050\" target=\"_blank\" rel=\"noopener\">\n      <img decoding=\"async\" src=\"https:\/\/www.chinasmartbuy.com\/blog\/wp-content\/uploads\/2026\/09\/lenovo-lecoo-gt-16-ai-in-arrivo-con-rtx-3050-52b4301c-59b2-480b-898a-ac54-1cl8km61xh.webp\" alt=\"Lenovo Lecoo GT 16 AI in arrivo con RTX 3050\" loading=\"lazy\">\n      <div 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style=\"display:flex;gap:10px;flex-wrap:wrap;justify-content:flex-start;margin:16px 0 0\"><a href=\"https:\/\/www.ithome.com\/0\/997\/642.htm\" target=\"_blank\" rel=\"noopener\" title=\"Via: VIA\" aria-label=\"Via: VIA\" style=\"display:inline-flex;align-items:center;gap:8px;padding:10px 16px;border-radius:16px;background:linear-gradient(135deg,#fff7ed,#ffedd5);color:#c2410c;text-decoration:none;font-size:11px;font-weight:900;letter-spacing:.08em;text-transform:uppercase;border:1px solid rgba(249,115,22,.20);box-shadow:0 8px 22px rgba(249,115,22,.08)\">Via<\/a><\/div><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Kimi API ora supporta in modo nativo Codex e Claude Code, con compatibilit\u00e0 diretta ai formati OpenAI e Anthropic.<\/p>\n","protected":false},"author":10,"featured_media":45800,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_exactmetrics_skip_tracking":false,"_yoast_wpseo_focuskw_text_input":"Kimi API Codex Claude Code","footnotes":""},"categories":[480],"tags":[],"class_list":["post-45801","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"blocksy_meta":{"styles_descriptor":{"styles":{"desktop":"","tablet":"","mobile":""},"google_fonts":[],"version":8}},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Kimi API supporta ora Codex e Claude Code in modo nativo<\/title>\n<meta name=\"description\" content=\"Kimi API aggiunge il supporto nativo ai formati OpenAI Responses API e Anthropic Messages API, con accesso diretto ai modelli Kimi da Codex e Claude Code.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.chinasmartbuy.com\/blog\/kimi-api-supporto-codex-claude-code\/\" \/>\n<meta property=\"og:locale\" content=\"it_IT\" \/>\n<meta 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