# 2026\u591a\u6a21\u6001\u5927\u6a21\u578b\u9009\u578b\u4e0e\u5de5\u7a0b\u5b9e\u8df5：\u4eceVeo 3\u5230Gemini 3.5\u7684\u67b6\u6784\u6f14\u8fdb<\/p>\n<\/p>\n
\u591a\u6a21\u6001\u5927\u6a21\u578b\u6b63\u4ece\u5b9e\u9a8c\u6027API\u8d70\u5411\u4f01\u4e1a\u7ea7\u751f\u4ea7\u73af\u5883\u3002\u5f00\u53d1\u8005\u9762\u4e34\u7684\u6311\u6218\u4e0d\u518d\u662f\u7b80\u5355\u7684\u6587\u672c\u751f\u6210，\u800c\u662f\u5982\u4f55\u5904\u7406\u590d\u6742\u7684\u89c6\u9891\u3001\u97f3\u9891\u4e0e\u6587\u672c\u7684\u878d\u5408\u63a8\u7406\u3002\u4f20\u7edf\u7684\u591a\u6a21\u6001\u5e94\u7528\u5f80\u5f80\u91c7\u7528\u201c\u6d41\u6c34\u7ebf\u201d\u67b6\u6784：\u5148\u751f\u6210\u65e0\u58f0\u89c6\u9891，\u518d\u53e0\u52a0\u97f3\u9891\u8f68\u9053\u3002\u8fd9\u79cd\u5272\u88c2\u7684\u5de5\u7a0b\u5b9e\u73b0\u5bfc\u81f4\u97f3\u753b\u9519\u4f4d\u3001\u5ef6\u8fdf\u589e\u52a0\u3001\u4e0a\u4e0b\u6587\u4e22\u5931\u30022026\u5e74，\u591a\u6a21\u6001\u6280\u672f\u8fce\u6765\u4e86\u67b6\u6784\u7ea7\u8dc3\u8fc1，Google Veo 3\u3001Gemini 3.5 Flash\u3001OpenAI GPT-5\u3001Anthropic Claude 4.5 Sonnet\u3001Moonshot Kimi K2 \u4ee5\u53ca Meta Llama 4 Scout \u7b49\u6a21\u578b\u91cd\u5851\u4e86\u5f00\u53d1\u8005\u7684\u6280\u672f\u9009\u578b\u77e9\u9635\u3002\u672c\u6587\u5c06\u6df1\u5165\u5256\u6790\u8fd9\u4e9b\u524d\u6cbf\u6a21\u578b\u7684\u6838\u5fc3\u67b6\u6784，\u5e76\u63d0\u4f9b\u53ef\u590d\u73b0\u7684\u5de5\u7a0b\u5b9e\u8df5\u65b9\u6848\u3002<\/p>\n<\/p>\n
## \u6280\u672f\u6311\u6218\u4e0e\u67b6\u6784\u6f14\u8fdb<\/p>\n<\/p>\n
\u5728\u6784\u5efa\u591a\u6a21\u6001Agent\u7cfb\u7edf\u6216RAG\u5e94\u7528\u65f6，\u5f00\u53d1\u8005\u5e38\u9047\u5230\u4e09\u5927\u5de5\u7a0b\u74f6\u9888：\u6a21\u6001\u540c\u6b65\u3001\u4e0a\u4e0b\u6587\u957f\u5ea6\u9650\u5236\u4ee5\u53ca\u63a8\u7406\u6df1\u5ea6\u4e0d\u8db3\u3002<\/p>\n<\/p>\n
\u4ee5\u89c6\u9891\u5185\u5bb9\u751f\u6210\u4e3a\u4f8b，\u65e7\u6709\u5de5\u5177\u91c7\u7528\u5206\u5c42\u53e0\u52a0\u7b56\u7565\u3002\u7cfb\u7edf\u5148\u6e32\u67d3\u89c6\u9891\u6f5c\u7a7a\u95f4，\u518d\u901a\u8fc7TTS\u6a21\u578b\u751f\u6210\u97f3\u9891，\u6700\u540e\u8fdb\u884c\u97f3\u8f68\u5408\u6210\u3002\u8fd9\u79cd\u67b6\u6784\u5728\u5904\u7406\u590d\u6742\u573a\u666f\u65f6\u6781\u6613\u51fa\u73b0\u97f3\u753b\u4e0d\u540c\u6b65\u3002Google Veo 3 \u5f15\u5165\u4e86\u539f\u751f\u591a\u6a21\u6001\u751f\u6210\u67b6\u6784，\u5f7b\u5e95\u6539\u53d8\u4e86\u8fd9\u4e00\u73b0\u72b6\u3002\u5b83\u5728\u5355\u6b21\u63a8\u7406\u4e2d\u540c\u65f6\u5904\u7406\u97f3\u9891\u548c\u89c6\u9891\u6f5c\u7a7a\u95f4\u3002\u8fd9\u79cd\u5c06\u97f3\u9891\u548c\u89c6\u9891\u89c6\u4e3a\u5355\u4e00\u4e92\u8fde\u5b9e\u4f53\u7684\u65b9\u6cd5，\u786e\u4fdd\u4e86\u5b8c\u7f8e\u7684\u540c\u6b65\u6027，\u8fbe\u5230\u4e86\u4ee5\u5f80\u65e0\u6cd5\u5b9e\u73b0\u7684\u903c\u771f\u5ea6\u3002<\/p>\n<\/p>\n
\u5728\u63a8\u7406\u4fa7，\u5f00\u53d1\u8005\u9700\u8981\u5904\u7406\u6d77\u91cf\u591a\u6a21\u6001\u6570\u636e\u3002Meta Llama 4 Scout \u548c Google Gemini 2.5 Pro \u63d0\u4f9b\u4e86\u5de8\u5927\u7684\u4e0a\u4e0b\u6587\u7a97\u53e3\u3002\u8fd9\u4f7f\u5f97\u4f20\u7edf\u7684\u5206\u5757\u68c0\u7d22RAG\u67b6\u6784\u53d1\u751f\u6539\u53d8\u3002\u5f00\u53d1\u8005\u53ef\u4ee5\u76f4\u63a5\u5c06\u957f\u89c6\u9891\u6216\u5927\u89c4\u6a21\u6570\u636e\u96c6\u6ce8\u5165\u4e0a\u4e0b\u6587，\u51cf\u5c11\u5206\u5757\u5e26\u6765\u7684\u8bed\u4e49\u622a\u65ad\u3002\u7136\u800c，\u5927\u4e0a\u4e0b\u6587\u5e26\u6765\u4e86\u5b9e\u73b0\u590d\u6742\u5ea6\u7684\u63d0\u5347\u3002Gemini 2.5 Pro \u5728\u6df1\u5ea6\u591a\u6a21\u6001\u63a8\u7406\u65b9\u9762\u8868\u73b0\u4f18\u5f02，\u4f46\u5176\u5728\u5de5\u7a0b\u5b9e\u73b0\u4e0a\u7684\u590d\u6742\u6027\u8981\u6c42\u5f00\u53d1\u8005\u5177\u5907\u7cbe\u7ec6\u7684Token\u7ba1\u7406\u548c\u5e76\u53d1\u63a7\u5236\u80fd\u529b\u3002<\/p>\n<\/p>\n
## 2026\u591a\u6a21\u6001\u6a21\u578b\u9009\u578b\u77e9\u9635<\/p>\n<\/p>\n
\u9488\u5bf9\u4e0d\u540c\u7684\u4e1a\u52a1\u573a\u666f，\u6280\u672f\u9009\u578b\u5fc5\u987b\u57fa\u4e8e\u6a21\u578b\u7684\u6838\u5fc3\u80fd\u529b\u4e0e\u5c40\u9650\u6027\u3002\u4ee5\u4e0b\u662f\u57fa\u4e8e2026\u5e74\u524d\u6cbf\u6a21\u578b\u7684\u6280\u672f\u5bf9\u6bd4：<\/p>\n<\/p>\n
– **Google Gemini 2.5 Pro \/ 3.5 Flash**：\u652f\u6301\u6587\u672c\u3001\u56fe\u50cf\u3001\u97f3\u9891\u3001\u89c6\u9891\u3002\u5176\u6838\u5fc3\u4f18\u52bf\u5728\u4e8e\u5177\u6709\u5927\u4e0a\u4e0b\u6587\u7a97\u53e3\u7684\u6df1\u5ea6\u591a\u6a21\u6001\u63a8\u7406\u3002\u9002\u5408\u7814\u7a76\u3001\u6570\u636e\u5bc6\u96c6\u578b\u5de5\u4f5c\u6d41\u548c\u89c6\u9891\u7406\u89e3\u3002\u4f46\u5b9e\u73b0\u590d\u6742\u5ea6\u8f83\u9ad8\u30023.5 Flash \u7248\u672c\u5728\u4fdd\u6301\u590d\u6742\u4efb\u52a1\u5904\u7406\u80fd\u529b\u7684\u540c\u65f6，\u4f18\u5316\u4e86\u54cd\u5e94\u5ef6\u8fdf\u3002<\/p>\n
– **Anthropic Claude 4.5 Sonnet**：\u652f\u6301\u6587\u672c\u3001\u56fe\u50cf\u3002\u6838\u5fc3\u4f18\u52bf\u5728\u4e8e\u5f3a\u5927\u7684\u63a8\u7406\u80fd\u529b\u3001\u53ef\u89e3\u91ca\u6027\u4ee5\u53ca\u957f\u4efb\u52a1\u6267\u884c\u80fd\u529b\u3002\u975e\u5e38\u9002\u5408\u4f01\u4e1a\u5de5\u4f5c\u6d41\u3001\u6587\u6863\u5206\u6790\u548c\u7f16\u7a0b\u3002\u5c40\u9650\u6027\u5728\u4e8e\u7f3a\u4e4f\u539f\u751f\u97f3\u9891\/\u89c6\u9891\u652f\u6301\u3002<\/p>\n
– **OpenAI GPT-5**：\u652f\u6301\u6587\u672c\u3001\u56fe\u50cf（\u89c6\u89c9）\u3001\u97f3\u9891（\u901a\u8fc7\u7cfb\u7edf\u96c6\u6210）\u3002\u63d0\u4f9b\u5177\u6709\u81ea\u9002\u5e94\u63a8\u7406\u5c42\u7684\u5e73\u8861\u6027\u80fd\u3002\u9002\u7528\u4e8e\u5bf9\u8bdd\u5f0fAI\u3001\u7f16\u7a0b\u548c\u57fa\u4e8eAgent\u7684\u7cfb\u7edf\u3002\u5176\u591a\u6a21\u6001\u6df1\u5ea6\u56e0\u6a21\u5f0f\u800c\u5f02\u3002<\/p>\n
– **Moonshot Kimi K2**：\u652f\u6301\u6587\u672c\u3001\u56fe\u50cf（\u56e0\u90e8\u7f72\u800c\u5f02）\u3002\u4e3b\u6253\u6210\u672c\u6548\u76ca\u548c\u5f00\u6743\u7075\u6d3b\u6027\u3002\u9002\u5408\u521d\u521b\u4f01\u4e1a\u3001\u81ea\u6258\u7ba1AI\u548cAgent\u7cfb\u7edf\u3002\u751f\u6001\u7cfb\u7edf\u8f83\u524d\u6cbf\u6a21\u578b\u4e0d\u591f\u6210\u719f\u3002<\/p>\n
– **Meta Llama 4 Scout**：\u652f\u6301\u6587\u672c\u3001\u56fe\u50cf\u3001\u89c6\u9891（\u65b0\u5174）\u3002\u5177\u5907\u6d77\u91cf\u4e0a\u4e0b\u6587\u5904\u7406\u80fd\u529b\u548c\u5f00\u653e\u5b9a\u5236\u5316\u3002\u9002\u5408\u4f01\u4e1a\u5185\u90e8\u5de5\u5177\u548c\u5927\u89c4\u6a21\u6570\u636e\u5904\u7406\u3002\u751f\u4ea7\u73af\u5883\u9700\u8981\u5f3a\u5927\u7684\u57fa\u7840\u8bbe\u65bd\u548c\u5fae\u8c03\u3002<\/p>\n
– **Google Veo 3**：\u4e13\u6ce8\u4e8e\u89c6\u9891\u3001\u97f3\u9891\u3001\u6587\u672c\u751f\u6210\u3002\u5177\u5907\u9ad8\u7ea7\u89c6\u9891\u751f\u6210\u548c\u591a\u6a21\u6001\u521b\u9020\u529b\u3002\u9002\u7528\u4e8e\u5a92\u4f53\u3001\u5185\u5bb9\u5236\u4f5c\u548c\u6a21\u62df\u3002\u4e0e\u901a\u7528\u6a21\u578b\u76f8\u6bd4，\u805a\u7126\u8303\u56f4\u8f83\u7a84\u3002<\/p>\n<\/p>\n
## \u5de5\u7a0b\u5b9e\u8df5：\u6784\u5efa\u591a\u6a21\u6001\u5185\u5bb9\u751f\u6210Agent<\/p>\n<\/p>\n
\u5728\u5b9e\u9645\u5de5\u7a0b\u4e2d，\u5355\u4e00\u6a21\u578b\u5f88\u96be\u8986\u76d6\u4ece\u590d\u6742\u63a8\u7406\u5230\u9ad8\u8d28\u91cf\u5a92\u4f53\u751f\u6210\u7684\u5168\u94fe\u8def\u9700\u6c42\u3002\u6211\u4eec\u9700\u8981\u6784\u5efa\u57fa\u4e8eAgent\u6846\u67b6\u7684\u6df7\u5408\u7f16\u6392\u7cfb\u7edf\u3002\u4ee5\u4e0b\u5b9e\u8df5\u5c55\u793a\u5982\u4f55\u7ed3\u5408 Claude 4.5 Sonnet \u7684\u6df1\u5ea6\u63a8\u7406\u80fd\u529b\u4e0e Veo 3 \u7684\u539f\u751f\u591a\u6a21\u6001\u751f\u6210\u80fd\u529b，\u6784\u5efa\u4e00\u4e2a\u81ea\u52a8\u5316\u89c6\u9891\u5185\u5bb9\u751f\u4ea7\u6d41\u6c34\u7ebf\u3002<\/p>\n<\/p>\n
\u6211\u4eec\u4f7f\u7528 `langchain` (v0.3.x) \u548c `langchain-anthropic` \u8fdb\u884c\u5de5\u4f5c\u6d41\u7f16\u6392\u3002\u7cfb\u7edf\u63a5\u6536\u4e00\u4efd\u590d\u6742\u7684PDF\u7814\u7a76\u62a5\u544a，Claude 4.5 Sonnet \u8d1f\u8d23\u63d0\u53d6\u6838\u5fc3\u89c2\u70b9\u5e76\u751f\u6210\u5305\u542b\u955c\u5934\u8bed\u8a00\u548c\u97f3\u6548\u63d0\u793a\u7684\u5267\u672c，\u968f\u540e\u5c06\u8fd9\u4e9b\u7ed3\u6784\u5316\u6570\u636e\u4f20\u9012\u7ed9 Veo 3 API \u8fdb\u884c\u540c\u6b65\u97f3\u89c6\u9891\u751f\u6210\u3002<\/p>\n<\/p>\n
```python<\/p>\n
import os<\/p>\n
import json<\/p>\n
from langchain_anthropic import ChatAnthropic<\/p>\n
from langchain_core.prompts import ChatPromptTemplate<\/p>\n
from langchain_core.output_parsers import StrOutputParser<\/p>\n<\/p>\n
# \u8bbe\u7f6eAPI\u5bc6\u94a5<\/p>\n
os.environ["ANTHROPIC_API_KEY"] = "your_anthropic_key"<\/p>\n
os.environ["GOOGLE_API_KEY"] = "your_google_key"<\/p>\n<\/p>\n
# \u521d\u59cb\u5316 Claude 4.5 Sonnet \u7528\u4e8e\u957f\u6587\u6863\u63a8\u7406\u4e0e\u5267\u672c\u751f\u6210<\/p>\n
# \u5229\u7528\u5176\u957f\u4efb\u52a1\u6267\u884c\u80fd\u529b\u5904\u7406\u590d\u6742\u6307\u4ee4<\/p>\n
llm_reasoning = ChatAnthropic(<\/p>\n
\u00a0 \u00a0 model="claude-4-5-sonnet-20260101", # \u6307\u5b9a\u5177\u4f53\u7248\u672c\u53f7<\/p>\n
\u00a0 \u00a0 temperature=0.7,<\/p>\n
\u00a0 \u00a0 max_tokens=4096<\/p>\n
)<\/p>\n<\/p>\n
# \u5b9a\u4e49\u5267\u672c\u751f\u6210\u63d0\u793a\u8bcd<\/p>\n
# \u8981\u6c42\u6a21\u578b\u8f93\u51fa\u7b26\u5408 Veo 3 \u539f\u751f\u591a\u6a21\u6001\u8f93\u5165\u683c\u5f0f\u7684\u7ed3\u6784\u5316JSON<\/p>\n
prompt = ChatPromptTemplate.from_messages([<\/p>\n
\u00a0 \u00a0 ("system", "\u4f60\u662f\u4e00\u4e2a\u9ad8\u7ea7\u591a\u5a92\u4f53\u5bfc\u6f14\u3002\u5206\u6790\u8f93\u5165\u7684\u7814\u7a76\u62a5\u544a，\u63d0\u53d6\u6838\u5fc3\u6570\u636e，"<\/p>\n
\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0"\u5e76\u751f\u6210\u4e00\u4e2a\u9002\u5408 Veo 3 \u6a21\u578b\u7684\u89c6\u9891\u5267\u672c\u3002"<\/p>\n
\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0"\u5267\u672c\u5fc5\u987b\u5305\u542b\u5e76\u884c\u7684\u89c6\u89c9\u63cf\u8ff0\u548c\u97f3\u9891\u63cf\u8ff0，\u786e\u4fdd\u97f3\u753b\u540c\u6b65\u3002"<\/p>\n
\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0"\u8f93\u51fa\u683c\u5f0f\u4e3aJSON，\u5305\u542b 'visual_latent_prompt' \u548c 'audio_latent_prompt' \u5b57\u6bb5\u3002"),<\/p>\n
\u00a0 \u00a0 ("human", "\u7814\u7a76\u62a5\u544a\u5185\u5bb9：\\\\n{document_content}")<\/p>\n
])<\/p>\n<\/p>\n
# \u6784\u5efa\u63a8\u7406\u94fe<\/p>\n
chain = prompt | llm_reasoning | StrOutputParser()<\/p>\n<\/p>\n
def generate_multimodal_script(document_text: str) -> dict:<\/p>\n
\u00a0 \u00a0 """\u8c03\u7528 Claude 4.5 \u751f\u6210\u7ed3\u6784\u5316\u5267\u672c"""<\/p>\n
\u00a0 \u00a0 print("\u6b63\u5728\u8c03\u7528 Claude 4.5 Sonnet \u8fdb\u884c\u6df1\u5ea6\u63a8\u7406…")<\/p>\n
\u00a0 \u00a0 response = chain.invoke({"document_content": document_text})<\/p>\n
\u00a0 \u00a0\u00a0<\/p>\n
\u00a0 \u00a0 try:<\/p>\n
\u00a0 \u00a0 \u00a0 \u00a0 # \u89e3\u6790\u6a21\u578b\u8f93\u51fa\u7684JSON\u5267\u672c<\/p>\n
\u00a0 \u00a0 \u00a0 \u00a0 script_data = json.loads(response)<\/p>\n
\u00a0 \u00a0 \u00a0 \u00a0 print("\u5267\u672c\u751f\u6210\u5b8c\u6210，\u51c6\u5907\u8c03\u7528 Veo 3 \u751f\u6210\u97f3\u89c6\u9891\u3002")<\/p>\n
\u00a0 \u00a0 \u00a0 \u00a0 return script_data<\/p>\n
\u00a0 \u00a0 except json.JSONDecodeError:<\/p>\n
\u00a0 \u00a0 \u00a0 \u00a0 # \u5bb9\u9519\u5904\u7406：\u5982\u679c\u8f93\u51fa\u975e\u6807\u51c6JSON，\u8fdb\u884c\u6e05\u6d17<\/p>\n
\u00a0 \u00a0 \u00a0 \u00a0 return {"visual_latent_prompt": response, "audio_latent_prompt": "ambient_music"}<\/p>\n<\/p>\n
def call_veo3_generation_api(script: dict) -> str:<\/p>\n
\u00a0 \u00a0 """<\/p>\n
\u00a0 \u00a0 \u6a21\u62df\u8c03\u7528 Google Veo 3 API<\/p>\n
\u00a0 \u00a0 Veo 3 \u5728\u5355\u6b21\u63a8\u7406\u4e2d\u5904\u7406 audio \u548c video latents<\/p>\n
\u00a0 \u00a0 """<\/p>\n
\u00a0 \u00a0 print("\u6b63\u5728\u8c03\u7528 Veo 3 \u539f\u751f\u591a\u6a21\u6001\u751f\u6210\u63a5\u53e3…")<\/p>\n
\u00a0 \u00a0 # \u5b9e\u9645\u5de5\u7a0b\u4e2d，\u8fd9\u91cc\u4f7f\u7528 google-cloud-aiplatform \u7b49SDK<\/p>\n
\u00a0 \u00a0 # veo3_client.generate(video_prompt=script['visual_latent_prompt'],\u00a0<\/p>\n
\u00a0 \u00a0 # audio_prompt=script['audio_latent_prompt'],\u00a0<\/p>\n
\u00a0 \u00a0 # sync_mode=True)<\/p>\n
\u00a0 \u00a0\u00a0<\/p>\n
\u00a0 \u00a0 video_id = f"veo3_asset_{hash(script['visual_latent_prompt'])}"<\/p>\n
\u00a0 \u00a0 print(f"\u97f3\u89c6\u9891\u540c\u6b65\u751f\u6210\u5b8c\u6bd5，\u8d44\u4ea7ID: {video_id}")<\/p>\n
\u00a0 \u00a0 return video_id<\/p>\n<\/p>\n
# \u6a21\u62df\u8f93\u5165\u6587\u6863<\/p>\n
sample_report = """<\/p>\n
2026\u5e74\u5927\u6a21\u578b\u67b6\u6784\u8d8b\u52bf\u62a5\u544a：\u539f\u751f\u591a\u6a21\u6001\u5904\u7406\u6210\u4e3a\u4e3b\u6d41\u3002<\/p>\n
Veo 3 \u901a\u8fc7\u5728\u5355\u4e00\u6f5c\u7a7a\u95f4\u5185\u878d\u5408\u97f3\u89c6\u9891\u6570\u636e，\u964d\u4f4e\u4e8630%\u7684\u751f\u6210\u5ef6\u8fdf…<\/p>\n
"""<\/p>\n<\/p>\n
# \u6267\u884cAgent\u5de5\u4f5c\u6d41<\/p>\n
if __name__ == "__main__":<\/p>\n
\u00a0 \u00a0 # \u6b65\u9aa41：\u6df1\u5ea6\u63a8\u7406\u4e0e\u5267\u672c\u7ed3\u6784\u5316<\/p>\n
\u00a0 \u00a0 structured_script = generate_multimodal_script(sample_report)<\/p>\n
\u00a0 \u00a0\u00a0<\/p>\n
\u00a0 \u00a0 # \u6b65\u9aa42：\u539f\u751f\u591a\u6a21\u6001\u8d44\u4ea7\u751f\u6210<\/p>\n
\u00a0 \u00a0 # Veo 3 \u5c06\u97f3\u9891\u548c\u89c6\u9891\u89c6\u4e3a\u5355\u4e00\u4e92\u8fde\u5b9e\u4f53，\u786e\u4fdd\u4e86\u5b8c\u7f8e\u7684\u540c\u6b65\u6027<\/p>\n
\u00a0 \u00a0 asset_id = call_veo3_generation_api(structured_script)<\/p>\n
\u00a0 \u00a0 print(f"\u5de5\u4f5c\u6d41\u6267\u884c\u7ed3\u675f，\u6700\u7ec8\u8d44\u4ea7: {asset_id}")<\/p>\n
```<\/p>\n<\/p>\n
\u5728\u4e0a\u8ff0\u4ee3\u7801\u4e2d，\u5de5\u7a0b\u5b9e\u73b0\u7684\u6838\u5fc3\u5728\u4e8e\u89e3\u8026\u63a8\u7406\u4e0e\u751f\u6210\u3002Claude 4.5 Sonnet \u89e3\u51b3\u4e86\u957f\u6587\u672c\u7406\u89e3\u4e0e\u7ed3\u6784\u5316\u6307\u4ee4\u751f\u6210\u7684\u96be\u9898\u3002\u5b83\u5177\u5907\u7684\u957f\u4efb\u52a1\u6267\u884c\u80fd\u529b\u786e\u4fdd\u4e86\u5267\u672c\u903b\u8f91\u7684\u8fde\u8d2f\u6027\u3002\u968f\u540e，Veo 3 \u63a5\u7ba1\u4e86\u5a92\u4f53\u751f\u6210\u9636\u6bb5\u3002\u7531\u4e8e Veo 3 \u91c7\u7528\u7edf\u4e00\u97f3\u89c6\u9891\u5904\u7406\u67b6\u6784，\u5f00\u53d1\u8005\u65e0\u9700\u518d\u7f16\u5199\u590d\u6742\u7684\u97f3\u8f68\u5bf9\u9f50\u903b\u8f91\u3002\u8fd9\u5927\u5e45\u964d\u4f4e\u4e86\u7cfb\u7edf\u590d\u6742\u5ea6\u548c\u7ef4\u62a4\u6210\u672c\u3002<\/p>\n<\/p>\n
## \u6027\u80fd\u4f18\u5316\u4e0e\u90e8\u7f72\u67b6\u6784\u8003\u91cf<\/p>\n<\/p>\n
\u5728\u5c06\u591a\u6a21\u6001\u7cfb\u7edf\u63a8\u5411\u751f\u4ea7\u73af\u5883\u65f6，\u6027\u80fd\u4e0e\u90e8\u7f72\u67b6\u6784\u662f\u51b3\u5b9a\u6210\u8d25\u7684\u5173\u952e\u3002<\/p>\n<\/p>\n
**\u63a8\u7406\u5ef6\u8fdf\u4e0e\u6210\u672c\u5e73\u8861**：OpenAI GPT-5 \u63d0\u4f9b\u4e86\u81ea\u9002\u5e94\u63a8\u7406\u5c42，\u5728\u5bf9\u8bdd\u5f0fAI\u573a\u666f\u4e2d\u8868\u73b0\u5747\u8861\u3002\u4f46\u5728\u5904\u7406\u9ad8\u5e76\u53d1\u89c6\u9891\u7406\u89e3\u4efb\u52a1\u65f6，Gemini 3.5 Flash \u5c55\u73b0\u51fa\u66f4\u9ad8\u7684\u6027\u4ef7\u6bd4\u3002\u5bf9\u4e8e\u521d\u521b\u56e2\u961f，Moonshot Kimi K2 \u63d0\u4f9b\u4e86\u5f00\u6743\u7075\u6d3b\u6027，\u652f\u6301\u81ea\u6258\u7ba1\u3002\u8fd9\u8981\u6c42\u5f00\u53d1\u8005\u5728 Kubernetes \u96c6\u7fa4\u4e2d\u914d\u7f6e vLLM \u6216 TensorRT-LLM \u63a8\u7406\u540e\u7aef，\u5e76\u8fdb\u884c\u663e\u5b58\u5206\u9875\u4f18\u5316，\u4ee5\u5e94\u5bf9\u591a\u6a21\u6001\u8f93\u5165\u5e26\u6765\u7684\u663e\u5b58\u788e\u7247\u95ee\u9898\u3002<\/p>\n<\/p>\n
**\u4e0a\u4e0b\u6587\u5de5\u7a0b\u4f18\u5316**：Meta Llama 4 Scout \u62e5\u6709\u6d77\u91cf\u4e0a\u4e0b\u6587\u5904\u7406\u80fd\u529b\u3002\u5728\u6784\u5efa\u4f01\u4e1a\u5185\u90e8\u6570\u636e\u68c0\u7d22\u7cfb\u7edf\u65f6，\u5f00\u53d1\u8005\u53ef\u4ee5\u51cf\u5c11\u4f20\u7edf\u7684\u5411\u91cf\u6570\u636e\u5e93\u5206\u5757\u68c0\u7d22\u4f9d\u8d56\u3002\u76f4\u63a5\u5c06\u56fe\u50cf\u3001\u89c6\u9891\u5e27\u5e8f\u5217\u4e0e\u957f\u6587\u672c\u62fc\u63a5\u9001\u5165\u6a21\u578b\u3002\u4f46\u8fd9\u8981\u6c42\u5bf9 Prompt \u7ed3\u6784\u8fdb\u884c\u6781\u5ea6\u4f18\u5316\u3002\u5efa\u8bae\u91c7\u7528\u201c\u5206\u5c42\u6ce8\u610f\u529b\u5f15\u5bfc\u201d\u7b56\u7565，\u5728\u8f93\u5165\u5e8f\u5217\u524d\u90e8\u63d2\u5165\u5173\u952e\u6a21\u6001\u7684\u6458\u8981Token，\u5f15\u5bfc\u6a21\u578b\u6ce8\u610f\u529b\u805a\u7126\u4e8e\u6838\u5fc3\u6570\u636e，\u964d\u4f4e\u201c\u8ff7\u5931\u5728\u4e2d\u95f4\u201d\u7684\u98ce\u9669\u3002<\/p>\n<\/p>\n
**\u591a\u6a21\u6001RAG\u67b6\u6784**：\u5728\u9700\u8981\u7cbe\u786e\u5f15\u7528\u5916\u90e8\u77e5\u8bc6\u7684\u573a\u666f\u4e2d，\u4f20\u7edf\u6587\u672cRAG\u5df2\u65e0\u6cd5\u6ee1\u8db3\u9700\u6c42\u3002\u7ed3\u5408 Gemini 2.5 Pro \u7684\u6df1\u5ea6\u591a\u6a21\u6001\u63a8\u7406\u80fd\u529b，\u5f00\u53d1\u8005\u53ef\u4ee5\u6784\u5efa\u201c\u8de8\u6a21\u6001\u5bf9\u9f50\u68c0\u7d22\u5e93\u201d\u3002\u5c06\u89c6\u9891\u7247\u6bb5\u3001\u97f3\u9891\u5207\u7247\u4e0e\u6587\u672c\u6458\u8981\u6620\u5c04\u5230\u540c\u4e00\u5411\u91cf\u7a7a\u95f4\u3002\u5f53\u7528\u6237\u53d1\u8d77\u591a\u6a21\u6001\u67e5\u8be2\u65f6，\u7cfb\u7edf\u76f4\u63a5\u68c0\u7d22\u5bf9\u9f50\u7684\u6a21\u6001\u7247\u6bb5，\u4ea4\u7531 Gemini 2.5 Pro \u8fdb\u884c\u7efc\u5408\u7406\u89e3，\u907f\u514d\u4e86\u6a21\u6001\u8f6c\u6362\u5e26\u6765\u7684\u4fe1\u606f\u635f\u8017\u3002<\/p>\n<\/p>\n
## \u603b\u7ed3\u4e0e\u5c55\u671b<\/p>\n<\/p>\n
2026\u5e74\u7684\u591a\u6a21\u6001\u5927\u6a21\u578b\u751f\u6001\u5448\u73b0\u51fa\u201c\u4e13\u7cbe\u5316\u201d\u4e0e\u201c\u539f\u751f\u878d\u5408\u201d\u4e24\u5927\u8d8b\u52bf\u3002Google Veo 3 \u8bc1\u660e\u4e86\u5728\u751f\u6210\u4fa7，\u5c06\u97f3\u9891\u548c\u89c6\u9891\u4f5c\u4e3a\u5355\u4e00\u4e92\u8fde\u5b9e\u4f53\u5904\u7406\u80fd\u591f\u5e26\u6765\u524d\u6240\u672a\u6709\u7684\u903c\u771f\u5ea6\u4e0e\u540c\u6b65\u6027\u3002\u800c\u5728\u7406\u89e3\u4e0e\u63a8\u7406\u4fa7，Gemini 2.5 Pro\u3001Claude 4.5 Sonnet \u548c GPT-5 \u5404\u6709\u4fa7\u91cd，\u5206\u522b\u5728\u5927\u4e0a\u4e0b\u6587\u63a8\u7406\u3001\u957f\u4efb\u52a1\u6267\u884c\u548c\u81ea\u9002\u5e94Agent\u7cfb\u7edf\u4e0a\u5efa\u7acb\u58c1\u5792\u3002\u5bf9\u4e8e\u5f00\u6e90\u751f\u6001，Moonshot Kimi K2 \u548c Meta Llama 4 Scout \u4e3a\u4f01\u4e1a\u63d0\u4f9b\u4e86\u6570\u636e\u79c1\u6709\u5316\u4e0e\u6df1\u5ea6\u5b9a\u5236\u7684\u8def\u5f84\u3002<\/p>\n<\/p>\n
\u5f00\u53d1\u8005\u5728\u8fdb\u884c\u67b6\u6784\u8bbe\u8ba1\u65f6，\u5fc5\u987b\u6452\u5f03\u201c\u5355\u6a21\u578b\u6253\u5929\u4e0b\u201d\u7684\u5e7b\u60f3\u3002\u6784\u5efa\u9ad8\u6027\u80fd\u7684\u591a\u6a21\u6001\u5e94\u7528，\u9700\u8981\u50cf\u7f16\u6392\u5fae\u670d\u52a1\u4e00\u6837\u7f16\u6392\u5927\u6a21\u578b\u3002\u5229\u7528 Agent \u6846\u67b6\u5c06 Claude 4.5 \u7684\u903b\u8f91\u89c4\u5212\u80fd\u529b\u4e0e Veo 3 \u7684\u539f\u751f\u751f\u6210\u80fd\u529b\u7ed3\u5408，\u662f\u5f53\u524d\u6700\u5177\u843d\u5730\u4ef7\u503c\u7684\u6280\u672f\u8def\u5f84\u3002\u672a\u6765，\u968f\u7740\u539f\u751f\u591a\u6a21\u6001\u67b6\u6784\u7684\u8fdb\u4e00\u6b65\u6f14\u8fdb，\u5e94\u7528\u5c42\u7684\u5de5\u7a0b\u91cd\u5fc3\u5c06\u4ece\u5904\u7406\u6a21\u6001\u5bf9\u9f50，\u8f6c\u5411\u8bbe\u8ba1\u66f4\u9ad8\u6548\u7684\u8de8\u6a21\u6001\u4ea4\u4e92\u534f\u8bae\u4e0e\u4e0a\u4e0b\u6587\u7ba1\u7406\u7b56\u7565\u3002\u638c\u63e1\u8fd9\u4e9b\u5e95\u5c42\u67b6\u6784\u5dee\u5f02\u4e0e\u5de5\u7a0b\u7f16\u6392\u6280\u672f，\u5c06\u662f\u6784\u5efa\u4e0b\u4e00\u4ee3AI\u5e94\u7528\u7684\u6838\u5fc3\u7ade\u4e89\u529b\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"
# 2026\u591a\u6a21\u6001\u5927\u6a21\u578b\u9009\u578b\u4e0e\u5de5\u7a0b\u5b9e\u8df5：\u4eceVeo 3\u5230Gemini 3.5\u7684\u67b6\u6784\u6f14\u8fdb\u591a\u6a21\u6001\u5927\u6a21\u578b\u6b63\u4ece\u5b9e\u9a8c\u6027API\u8d70\u5411\u4f01\u4e1a\u7ea7\u751f\u4ea7\u73af\u5883\u3002\u5f00\u53d1\u8005\u9762\u4e34\u7684\u6311\u6218\u4e0d\u518d\u662f\u7b80\u5355\u7684\u6587\u672c\u751f\u6210，\u800c\u662f\u5982\u4f55\u5904\u7406\u590d\u6742\u7684\u89c6\u9891\u3001\u97f3\u9891\u4e0e\u6587\u672c\u7684\u878d\u5408\u63a8\u7406\u3002\u4f20\u7edf\u7684\u591a\u6a21\u6001\u5e94\u7528\u5f80\u5f80\u91c7\u7528\u201c\u6d41\u6c34\u7ebf\u201d\u67b6\u6784：\u5148\u751f\u6210\u65e0\u58f0\u89c6\u9891，\u518d\u53e0\u52a0\u97f3\u9891\u8f68\u9053\u3002\u8fd9\u79cd\u5272\u88c2\u7684\u5de5\u7a0b\u5b9e\u73b0\u5bfc\u81f4\u97f3\u753b\u9519\u4f4d\u3001\u5ef6\u8fdf\u589e\u52a0\u3001\u4e0a\u4e0b\u6587\u4e22\u5931\u30022026\u5e74，\u591a\u6a21\u6001\u6280\u672f\u8fce\u6765\u4e86\u67b6\u6784\u7ea7\u8dc3\u8fc1，Google <\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[188],"topic":[],"class_list":["post-121079","post","type-post","status-publish","format-standard","hentry","category-server","tag-188"],"yoast_head":"\n