Documentation IndexFetch the complete documentation index at: /llms.txtUse this file to discover all available pages before exploring further.
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
cURL
curl --request POST \ --url https://ai.alad.com/v1beta/models/gemini-3.5-flash:generateContent \ --header 'Content-Type: application/json' \ --data ' { "contents": [ { "role": "user", "parts": [ { "text": "解释并行智能体执行的工作原理。" } ] } ], "systemInstruction": { "parts": [ { "text": "你是一个有帮助的助手。" } ] }, "generationConfig": { "temperature": 1, "topP": 1 }, "thinkingConfig": { "thinkingLevel": "medium" } } '
{ "candidates": [ { "content": { "parts": [ { "text": "并行智能体执行允许多个 AI 智能体同时工作..." } ], "role": "model" }, "finishReason": "STOP" } ], "usageMetadata": { "promptTokenCount": 123, "candidatesTokenCount": 123, "totalTokenCount": 123 } }
根据对话内容生成模型响应。Gemini 3.5 Flash 是 Google 最智能的 Flash 模型,针对智能体和编码任务进行了优化。
API 密钥
包含用户和模型消息的对话内容数组。
Show child attributes
[ { "role": "user", "parts": [{ "text": "解释并行智能体执行的工作原理。" }] }]
系统指令
{ "parts": [{ "text": "你是一个有帮助的助手。" }] }
思考配置,用于控制推理深度
响应生成成功