{"id":105120,"date":"2025-05-06T10:22:09","date_gmt":"2025-05-06T03:22:09","guid":{"rendered":"https:\/\/wiki.tino.org\/?p=105120"},"modified":"2026-10-22T16:34:29","modified_gmt":"2026-10-22T09:34:29","slug":"cach-su-dung-node-ai-agent-tren-n8n","status":"publish","type":"post","link":"https:\/\/tino.vn\/blog\/cach-su-dung-node-ai-agent-tren-n8n\/","title":{"rendered":"C\u00e1ch d\u00f9ng node AI Agent tr\u00ean n8n: Chat Model, Memory, Tool"},"content":{"rendered":"\n

Node AI Agent trong n8n l\u00e0 root node nh\u1eadn c\u00e2u h\u1ecfi, d\u00f9ng m\u1ed9t Chat Model \u0111\u1ec3 suy lu\u1eadn r\u1ed3i t\u1ef1 ch\u1ecdn Tool c\u1ea7n g\u1ecdi, nh\u01b0 Google Sheets hay HTTP Request.<\/strong> T\u1eeb n8n 1.82.0, m\u1ecdi node AI Agent ch\u1ea1y theo ki\u1ec3u Tools Agent v\u00e0 ph\u1ea3i n\u1ed1i \u00edt nh\u1ea5t m\u1ed9t Tool. B\u00e0i n\u00e0y l\u00e0 trang t\u1ed5ng c\u1ee7a c\u1ee5m “T\u00edch h\u1ee3p v\u00e0 chatbot” tr\u00ean blog Tino: c\u1ea5u h\u00ecnh t\u1eebng th\u00e0nh ph\u1ea7n, ch\u1ecdn model, MCP, r\u1ed3i d\u1eabn t\u1edbi b\u00e0i chi ti\u1ebft cho Telegram, Zalo, Messenger. N\u1ebfu m\u1edbi l\u00e0m quen, \u0111\u1ecdc tr\u01b0\u1edbc n8n l\u00e0 g\u00ec<\/a>.<\/p>\n\n\n\n

Node AI Agent trong n8n l\u00e0 g\u00ec?<\/h2>\n\n\n\n

Node AI Agent l\u00e0 node g\u1ed1c (root node) c\u1ee7a nh\u00f3m Advanced AI trong n8n. Node nh\u1eadn \u0111\u1ea7u v\u00e0o t\u1eeb trigger, g\u1eedi c\u00e2u h\u1ecfi c\u00f9ng System Message v\u00e0 danh s\u00e1ch Tool cho Chat Model, ch\u1ea1y Tool m\u00e0 model y\u00eau c\u1ea7u, r\u1ed3i tr\u1ea3 c\u00e2u tr\u1ea3 l\u1eddi \u1edf tr\u01b0\u1eddng output<\/code>. C\u00e1c sub-node g\u1eafn v\u00e0o ba c\u1ed5ng b\u00ean d\u01b0\u1edbi node: Chat Model, Memory v\u00e0 Tool. T\u00e0i li\u1ec7u n8n ghi r\u00f5: “You must connect at least one tool sub-node to an AI Agent node” (docs.n8n.io, node AI Agent<\/a>, \u0111\u1ecdc 22\/10\/2026).<\/p>\n\n\n\n

AI Agent n\u00f3i chung l\u00e0 h\u1ec7 th\u1ed1ng t\u1ef1 ra quy\u1ebft \u0111\u1ecbnh v\u00e0 h\u00e0nh \u0111\u1ed9ng \u0111\u1ec3 \u0111\u1ea1t m\u1ee5c ti\u00eau; ph\u1ea7n kh\u00e1i ni\u1ec7m c\u00f3 \u1edf b\u00e0i AI Agent l\u00e0 g\u00ec<\/a>. Trong n8n, kh\u00e1i ni\u1ec7m \u0111\u00f3 g\u00f3i g\u1ecdn trong m\u1ed9t node k\u00e9o th\u1ea3, n\u00ean b\u1ea1n kh\u00f4ng c\u1ea7n vi\u1ebft v\u00f2ng l\u1eb7p g\u1ecdi model b\u1eb1ng code.<\/p>\n\n\n\n

Node AI Agent kh\u00e1c node OpenAI \u1edf \u0111\u00e2u?<\/h3>\n\n\n\n

Node OpenAI g\u1eedi m\u1ed9t y\u00eau c\u1ea7u v\u00e0 nh\u1eadn m\u1ed9t k\u1ebft qu\u1ea3; node AI Agent \u0111i\u1ec1u ph\u1ed1i nhi\u1ec1u b\u01b0\u1edbc, model c\u00f3 th\u1ec3 g\u1ecdi Tool, \u0111\u1ecdc k\u1ebft qu\u1ea3 r\u1ed3i m\u1edbi tr\u1ea3 l\u1eddi.<\/p>\n\n\n\n

Ti\u00eau ch\u00ed<\/th>Node OpenAI<\/th>Node AI Agent<\/th><\/tr><\/thead>
M\u1ee5c \u0111\u00edch<\/td>M\u1ed9t t\u00e1c v\u1ee5: t\u1ea1o v\u0103n b\u1ea3n, ph\u00e2n t\u00edch \u1ea3nh, sinh \u1ea3nh, \u00e2m thanh<\/td>Chu\u1ed7i suy lu\u1eadn nhi\u1ec1u b\u01b0\u1edbc, t\u1ef1 ch\u1ecdn Tool<\/td><\/tr>
Nh\u00e0 cung c\u1ea5p model<\/td>Ch\u1ec9 OpenAI<\/td>OpenAI, Anthropic, Google Gemini, Mistral, Groq, Ollama\u2026 qua sub-node Chat Model<\/td><\/tr>
Nh\u1edb h\u1ed9i tho\u1ea1i<\/td>Kh\u00f4ng c\u00f3 s\u1eb5n<\/td>G\u1eafn Memory (Simple Memory, Postgres Chat Memory\u2026)<\/td><\/tr>
Chi ph\u00ed<\/td>Token c\u1ee7a m\u1ed9t l\u1ea7n g\u1ecdi<\/td>Token c\u1ee7a m\u1ecdi v\u00f2ng g\u1ecdi model trong m\u1ed9t l\u1ea7n ch\u1ea1y, c\u1ed9ng ph\u00ed API c\u1ee7a Tool<\/td><\/tr><\/tbody><\/table>
So s\u00e1nh theo t\u00e0i li\u1ec7u n8n, 22\/10\/2026<\/figcaption><\/figure>\n\n\n\n

C\u00e1ch l\u1ea5y API key v\u00e0 c\u1ea5u h\u00ecnh node OpenAI ri\u00eang c\u00f3 \u1edf b\u00e0i k\u1ebft n\u1ed1i API OpenAI v\u00e0o n8n<\/a>.<\/p>\n\n\n\n

M\u1ed9t AI Agent trong n8n c\u1ea7n nh\u1eefng th\u00e0nh ph\u1ea7n n\u00e0o?<\/h2>\n\n\n\n

M\u1ed9t AI Agent trong n8n c\u1ea7n t\u1ed1i thi\u1ec3u ba th\u1ee9: trigger cung c\u1ea5p c\u00e2u h\u1ecfi, m\u1ed9t Chat Model l\u00e0m “b\u1ed9 n\u00e3o” v\u00e0 \u00edt nh\u1ea5t m\u1ed9t Tool. Memory v\u00e0 Output Parser l\u00e0 tu\u1ef3 ch\u1ecdn, nh\u01b0ng chatbot nhi\u1ec1u l\u01b0\u1ee3t g\u1ea7n nh\u01b0 lu\u00f4n c\u1ea7n Memory \u0111\u1ec3 hi\u1ec3u c\u00e2u h\u1ecfi n\u1ed1i ti\u1ebfp.<\/p>\n\n\n\n

Th\u00e0nh ph\u1ea7n<\/th>B\u1eaft bu\u1ed9c?<\/th>Node v\u00ed d\u1ee5<\/th>Vai tr\u00f2<\/th><\/tr><\/thead>
Trigger<\/td>C\u00f3<\/td>Chat Trigger, Webhook, Telegram Trigger<\/td>\u0110\u01b0a c\u00e2u h\u1ecfi v\u00e0o agent<\/td><\/tr>
Chat Model<\/td>C\u00f3<\/td>OpenAI Chat Model, Anthropic Chat Model, Google Gemini Chat Model, Ollama Chat Model<\/td>Suy lu\u1eadn, quy\u1ebft \u0111\u1ecbnh g\u1ecdi Tool, so\u1ea1n c\u00e2u tr\u1ea3 l\u1eddi<\/td><\/tr>
Tool<\/td>C\u00f3, \u00edt nh\u1ea5t 1<\/td>Google Sheets, HTTP Request, Call n8n Workflow, MCP Client Tool, Calculator<\/td>L\u1ea5y d\u1eef li\u1ec7u ho\u1eb7c th\u1ef1c hi\u1ec7n h\u00e0nh \u0111\u1ed9ng<\/td><\/tr>
Memory<\/td>Kh\u00f4ng<\/td>Simple Memory, Postgres Chat Memory, Redis Chat Memory<\/td>Gi\u1eef c\u00e1c l\u01b0\u1ee3t chat tr\u01b0\u1edbc theo Session Key<\/td><\/tr>
Output Parser<\/td>Kh\u00f4ng<\/td>Structured Output Parser, Auto-fixing Output Parser<\/td>\u00c9p c\u00e2u tr\u1ea3 l\u1eddi theo khu\u00f4n JSON cho node sau<\/td><\/tr><\/tbody><\/table>
Theo docs.n8n.io (AI Agent, Tools Agent), \u0111\u1ecdc 22\/10\/2026<\/figcaption><\/figure>\n\n\n\n
\"S\u01a1<\/figure>\n\n\n\n

Simple Memory l\u01b0u l\u1ecbch s\u1eed trong b\u1ed9 nh\u1edb c\u1ee7a n8n v\u00e0 kh\u00f4ng d\u00f9ng \u0111\u01b0\u1ee3c trong workflow ch\u1ea1y th\u1eadt khi n8n b\u1eadt queue mode, v\u00ec c\u00e1c l\u01b0\u1ee3t g\u1ecdi c\u00f3 th\u1ec3 r\u01a1i v\u00e0o worker kh\u00e1c nhau (docs.n8n.io, Simple Memory<\/a>). Khi ch\u1ea1y nhi\u1ec1u worker, chuy\u1ec3n sang Postgres Chat Memory ho\u1eb7c Redis Chat Memory.<\/p>\n\n\n\n

C\u00e1ch t\u1ea1o AI Agent \u0111\u1ea7u ti\u00ean tr\u00ean n8n<\/h2>\n\n\n\n

C\u00e1ch nhanh nh\u1ea5t \u0111\u1ec3 th\u1eed node AI Agent l\u00e0 d\u1ef1ng workflow 5 node: Chat Trigger, AI Agent, m\u1ed9t Chat Model, Simple Memory v\u00e0 m\u1ed9t Tool Google Sheets ch\u1ee9a b\u1ea3ng c\u00e2u h\u1ecfi th\u01b0\u1eddng g\u1eb7p. B\u1ea1n chat th\u1eed ngay trong editor, kh\u00f4ng c\u1ea7n webhook c\u00f4ng khai. C\u00e1c b\u01b0\u1edbc d\u01b0\u1edbi \u0111\u00e2y \u00e1p d\u1ee5ng cho n8n 2.x (b\u1ea3n stable 2.44.5 ng\u00e0y 21\/10\/2026 theo GitHub n8n-io\/n8n).<\/p>\n\n\n\n

    \n
  1. B\u01b0\u1edbc 1: T\u1ea1o workflow v\u00e0 th\u00eam Chat Trigger.<\/strong> B\u1ea5m Create Workflow, nh\u1ea5n d\u1ea5u +, ch\u1ecdn On chat message<\/em>. \u0110\u1ec3 t\u1eaft Make Chat Publicly Available<\/em> trong l\u00fac d\u1ef1ng.<\/li>\n\n\n
  2. B\u01b0\u1edbc 2: Th\u00eam node AI Agent.<\/strong> Nh\u1ea5n + sau Chat Trigger, t\u00ecm “AI Agent”. M\u1ee5c Source for Prompt<\/em> \u0111\u1ec3 Take from previous node automatically<\/em> \u0111\u1ec3 agent \u0111\u1ecdc tr\u01b0\u1eddng chatInput<\/code> c\u1ee7a Chat Trigger.<\/li>\n\n\n
  3. B\u01b0\u1edbc 3: G\u1eafn Chat Model.<\/strong> Nh\u1ea5n + \u1edf c\u1ed5ng Chat Model, ch\u1ecdn nh\u00e0 cung c\u1ea5p, t\u1ea1o credential b\u1eb1ng API key r\u1ed3i ch\u1ecdn model trong danh s\u00e1ch. H\u01b0\u1edbng d\u1eabn l\u1ea5y key: OpenAI<\/a>, Google Gemini<\/a>.<\/li>\n\n\n
  4. B\u01b0\u1edbc 4: G\u1eafn Memory.<\/strong> Nh\u1ea5n + \u1edf c\u1ed5ng Memory, ch\u1ecdn Simple Memory. Khi d\u00f9ng Chat Trigger, \u0111\u1ec3 Session ID m\u1eb7c \u0111\u1ecbnh theo phi\u00ean chat; Context Window Length<\/em> l\u00e0 s\u1ed1 l\u01b0\u1ee3t tr\u01b0\u1edbc model \u0111\u01b0\u1ee3c xem, b\u1eaft \u0111\u1ea7u v\u1edbi 5\u201310.<\/li>\n\n\n
  5. B\u01b0\u1edbc 5: G\u1eafn Tool v\u00e0 ch\u1ea1y th\u1eed.<\/strong> Nh\u1ea5n + \u1edf c\u1ed5ng Tool, ch\u1ecdn Google Sheets, operation Get Row(s)<\/em>, tr\u1ecf t\u1edbi sheet c\u00e2u h\u1ecfi th\u01b0\u1eddng g\u1eb7p (credential: x\u00e1c th\u1ef1c Google tr\u00ean n8n<\/a>). B\u1ea5m Open chat<\/em>, g\u00f5 c\u00e2u h\u1ecfi v\u00e0 xem tab Logs \u0111\u1ec3 bi\u1ebft agent \u0111\u00e3 g\u1ecdi Tool n\u00e0o.<\/li>\n<\/ol>\n\n\n
    \n
    \"B\u01b0\u1edbc
    \u1ea2nh ch\u1ee5p \u1edf b\u1ea3n n8n c\u0169 (c\u00f4ng t\u1eafc Inactive); \u1edf b\u00e0i n\u00e0y ch\u1ecdn On chat message trong c\u00f9ng danh s\u00e1ch thay v\u00ec Trigger manually<\/figcaption><\/figure>\n<\/div>\n\n
    \n
    \"B\u01b0\u1edbc
    \u1ea2nh ch\u1ee5p \u1edf b\u1ea3n n8n c\u0169 v\u1edbi Manual Trigger v\u00e0 Edit Fields; lu\u1ed3ng trong b\u00e0i n\u1ed1i AI Agent ngay sau Chat Trigger<\/figcaption><\/figure>\n<\/div>\n\n
    \n
    \"B\u01b0\u1edbc
    \u1ea2nh ch\u1ee5p \u1edf b\u1ea3n n8n c\u0169; model gpt-3.5-turbo trong \u1ea3nh b\u1ecb OpenAI t\u1eaft ng\u00e0y 23\/10\/2026, h\u00e3y ch\u1ecdn model hi\u1ec7n h\u00e0nh trong danh s\u00e1ch<\/figcaption><\/figure>\n<\/div>\n\n
    \n
    \"C\u1ea5u
    Simple Memory v\u1edbi kho\u00e1 phi\u00ean t\u1ef1 \u0111\u1eb7t, d\u00f9ng khi trigger kh\u00f4ng ph\u1ea3i Chat Trigger (\u1ea3nh ch\u1ee5p n8n 1.x, c\u00e1c tr\u01b0\u1eddng v\u1eabn gi\u1eef t\u00ean \u1edf 2.x)<\/figcaption><\/figure>\n<\/div>\n\n\n

    Workflow ch\u1ea1y th\u1eed trong editor b\u1eb1ng Execute workflow<\/em> ho\u1eb7c khung chat. Mu\u1ed1n chatbot nh\u1eadn tin khi b\u1ea1n \u0111\u00f3ng tr\u00ecnh duy\u1ec7t, b\u1ea5m Publish<\/strong>; \u1edf n8n 2.x n\u00fat n\u00e0y thay cho c\u00f4ng t\u1eafc Active\/Inactive c\u0169.<\/p>\n\n\n\n

    System Message l\u00e0 g\u00ec v\u00e0 vi\u1ebft th\u1ebf n\u00e0o?<\/h3>\n\n\n\n

    System Message l\u00e0 \u0111o\u1ea1n h\u01b0\u1edbng d\u1eabn g\u1eedi cho model tr\u01b0\u1edbc m\u1ecdi c\u00e2u h\u1ecfi, quy \u0111\u1ecbnh vai tr\u00f2, gi\u1ecdng v\u0103n v\u00e0 khi n\u00e0o ph\u1ea3i d\u00f9ng Tool. Th\u00eam b\u1eb1ng Add Option \u2192 System Message<\/em> trong node AI Agent. M\u1ed9t System Message t\u1ed1t n\u00eau r\u00f5 ph\u1ea1m vi tr\u1ea3 l\u1eddi v\u00e0 vi\u1ec7c c\u1ea7n l\u00e0m khi thi\u1ebfu d\u1eef li\u1ec7u.<\/p>\n\n\n\n

    B\u1ea1n l\u00e0 tr\u1ee3 l\u00fd ch\u0103m s\u00f3c kh\u00e1ch h\u00e0ng c\u1ee7a c\u1eeda h\u00e0ng ABC.\n- Lu\u00f4n tra Tool \"FAQ\" (Google Sheets) tr\u01b0\u1edbc khi tr\u1ea3 l\u1eddi v\u1ec1 gi\u00e1, ph\u00ed ship, \u0111\u1ed5i tr\u1ea3.\n- Kh\u00f4ng t\u00ecm th\u1ea5y trong FAQ th\u00ec n\u00f3i ch\u01b0a c\u00f3 th\u00f4ng tin v\u00e0 xin s\u1ed1 \u0111\u01a1n h\u00e0ng, kh\u00f4ng t\u1ef1 \u0111o\u00e1n.\n- Tr\u1ea3 l\u1eddi ti\u1ebfng Vi\u1ec7t, t\u1ed1i \u0111a 4 c\u00e2u.<\/code><\/pre>\n\n\n
    \n
    \"Panel
    \u1ea2nh ch\u1ee5p \u1edf b\u1ea3n n8n c\u0169 (n\u00fat Test step, nay l\u00e0 Execute step); Prompt l\u1ea5y t\u1eeb tr\u01b0\u1eddng Question c\u1ee7a Edit Fields, c\u00f2n v\u1edbi Chat Trigger \u0111\u1ec3 Source for Prompt l\u00e0 Take from previous node automatically<\/figcaption><\/figure>\n<\/div>\n\n\n
    \"S\u01a1<\/figure>\n\n\n\n
    Model ch\u1ec9 bi\u1ebft Tool qua t\u00ean v\u00e0 m\u00f4 t\u1ea3. Khi agent b\u1ecf qua Tool, s\u1eeda m\u00f4 t\u1ea3 Tool cho c\u1ee5 th\u1ec3 v\u00e0 ghi trong System Message l\u00fac n\u00e0o ph\u1ea3i g\u1ecdi. Tham s\u1ed1 Tool c\u00f3 th\u1ec3 \u0111\u1ec3 model t\u1ef1 \u0111i\u1ec1n b\u1eb1ng $fromAI()<\/code>; s\u1ed1 v\u00f2ng g\u1ecdi t\u1ed1i \u0111a \u0111\u1eb7t \u1edf Max Iterations<\/em>, m\u1eb7c \u0111\u1ecbnh 10 (docs.n8n.io, Tools Agent<\/a>).<\/p>\n\n\n\n
    N\u00ean ch\u1ecdn Chat Model n\u00e0o cho AI Agent?<\/h2>\n\n\n\n
    Chat Model n\u00ean ch\u1ecdn theo vi\u1ec7c agent ph\u1ea3i l\u00e0m: tra c\u1ee9u v\u00e0 tr\u1ea3 l\u1eddi ng\u1eafn d\u00f9ng model nh\u1ecf, r\u1ebb; suy lu\u1eadn nhi\u1ec1u b\u01b0\u1edbc ho\u1eb7c g\u1ecdi nhi\u1ec1u Tool d\u00f9ng model l\u1edbn h\u01a1n. T\u00ean model \u0111\u1ed5i r\u1ea5t nhanh, n\u00ean ch\u1ecdn trong danh s\u00e1ch m\u00e0 sub-node Chat Model hi\u1ec3n th\u1ecb, \u0111\u1ed1i chi\u1ebfu trang model ch\u00ednh th\u1ee9c tr\u01b0\u1edbc khi \u0111\u01b0a v\u00e0o ch\u1ea1y th\u1eadt.<\/p>\n\n\n\n
    Nh\u00e0 cung c\u1ea5p<\/th>Sub-node trong n8n<\/th>Model hi\u1ec7n h\u00e0nh (trang ch\u00ednh th\u1ee9c, 22\/10\/2026)<\/th>\u0110\u00e3 ng\u1eebng ho\u1eb7c s\u1eafp ng\u1eebng<\/th><\/tr><\/thead>
    OpenAI<\/td>OpenAI Chat Model<\/td>gpt-6-astra (model ch\u1ee7 l\u1ef1c), gpt-6.1-sol (c\u00e2n b\u1eb1ng gi\u00e1 v\u00e0 ch\u1ea5t l\u01b0\u1ee3ng), gpt-6-luna (r\u1ebb, kh\u1ed1i l\u01b0\u1ee3ng l\u1edbn)<\/td>gpt-3.5-turbo t\u1eaft 23\/10\/2026; Assistants API g\u1ee1 26\/08\/2026<\/td><\/tr>
    Anthropic<\/td>Anthropic Chat Model<\/td>Claude Fable 5.1, Claude Opus 5.5, Claude Sonnet 5.5, Claude Haiku 5.5<\/td>Xem l\u1ecbch retirement tr\u00ean trang Models c\u1ee7a Anthropic<\/td><\/tr>
    Google<\/td>Google Gemini Chat Model<\/td>Gemini 4 Argon, Gemini 3.8 Flash, Gemini 3.5 Flash-Lite<\/td>gemini-2.0-flash v\u00e0 2.0-flash-lite t\u1eaft 01\/06\/2026<\/td><\/tr>
    T\u1ef1 host<\/td>Ollama Chat Model<\/td>Model m\u00e3 m\u1edf ch\u1ea1y tr\u00ean m\u00e1y ch\u1ee7 c\u1ee7a b\u1ea1n<\/td>C\u1ea7n RAM\/GPU \u0111\u1ee7 cho model; ch\u1ea5t l\u01b0\u1ee3ng g\u1ecdi Tool tu\u1ef3 model<\/td><\/tr><\/tbody><\/table>
    Ngu\u1ed3n: OpenAI Models v\u00e0 Deprecations, Anthropic Models overview, Gemini API Models v\u00e0 Deprecations, \u0111\u1ecdc 22\/10\/2026<\/figcaption><\/figure>\n\n\n\n
    Ngu\u1ed3n \u0111\u1ec3 ki\u1ec3m l\u1ea1i: OpenAI Models<\/a>, OpenAI Deprecations<\/a>, Anthropic Models overview<\/a>, Gemini API Models<\/a>, Gemini deprecations<\/a>. Workflow c\u0169 c\u00f2n ghi gpt-3.5-turbo<\/code> hay models\/gemini-2.0-flash<\/code> s\u1ebd b\u00e1o l\u1ed7i model kh\u00f4ng t\u1ed3n t\u1ea1i: m\u1edf sub-node v\u00e0 ch\u1ecdn l\u1ea1i model.<\/p>\n\n\n\n
    MCP Client Tool trong n8n d\u00f9ng \u0111\u1ec3 l\u00e0m g\u00ec?<\/h2>\n\n\n\n
    MCP Client Tool l\u00e0 sub-node Tool bi\u1ebfn node AI Agent th\u00e0nh MCP client: agent d\u00f9ng \u0111\u01b0\u1ee3c c\u00e1c tool m\u00e0 m\u1ed9t MCP server b\u00ean ngo\u00e0i cung c\u1ea5p, nh\u01b0 tra c\u1ee9u t\u00e0i li\u1ec7u, \u0111\u1ecdc ticket hay truy v\u1ea5n c\u01a1 s\u1edf d\u1eef li\u1ec7u, m\u00e0 kh\u00f4ng ph\u1ea3i d\u1ef1ng t\u1eebng HTTP Request. MCP (Model Context Protocol) l\u00e0 chu\u1ea9n m\u1edf \u0111\u1ec3 model g\u1ecdi c\u00f4ng c\u1ee5; kh\u00e1i ni\u1ec7m c\u00f3 \u1edf b\u00e0i MCP l\u00e0 g\u00ec<\/a>.<\/p>\n\n\n\n