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Regolo AI 标志Regolo AI

通过 Mastra 的模型路由器访问 18 个 Regolo AI 模型。系统会自动使用 REGOLO_API_KEY 环境变量完成身份验证。

更多信息请参阅Regolo AI 文档

.env
REGOLO_API_KEY=your-api-key
src/mastra/agents/my-agent.ts
import { Agent } from '@mastra/core/agent'

const agent = new Agent({
id: 'my-agent',
name: 'My Agent',
instructions: 'You are a helpful assistant',
model: 'regolo-ai/apertus-70b',
})

// Generate a response
const response = await agent.generate('Hello!')

// Stream a response
const stream = await agent.stream('Tell me a story')
for await (const chunk of stream) {
console.log(chunk)
}
信息

Mastra 使用兼容 OpenAI 的 /chat/completions endpoint。部分 Provider 特有功能可能不可用,详情请参阅Regolo AI 文档

模型
模型的直接链接

ModelContextToolsReasoningImageAudioVideoInput $/1MOutput $/1M
regolo-ai/apertus-70b30K$0.46$2
regolo-ai/brick-complexity-pro100K$0.12$0.46
regolo-ai/brick-v1-beta100K
regolo-ai/deepseek-ocr-24K
regolo-ai/faster-whisper-large-v3448
regolo-ai/gemma4-31b100K$0.46$2
regolo-ai/glm5.296K$2$6
regolo-ai/gpt-oss-120b128K$1$4
regolo-ai/gpt-oss-20b128K$0.40$2
regolo-ai/llama-3.3-70b-instruct128K$0.60$3
regolo-ai/mistral-small-4-119b256K$0.75$3
regolo-ai/qwen-image8K$0.50$2
regolo-ai/qwen3-coder-next262K$0.30$1
regolo-ai/qwen3-embedding-8b33K$0.10$0.10
regolo-ai/qwen3-reranker-4b33K$0.12$0.12
regolo-ai/qwen3.5-122b262K$0.90$4
regolo-ai/qwen3.5-9b262K$0.15$0.60
regolo-ai/qwen3.6-27b120K$0.58$2
18 available models

高级配置
高级配置的直接链接

自定义请求头
自定义请求头的直接链接

src/mastra/agents/my-agent.ts
const agent = new Agent({
id: 'custom-agent',
name: 'custom-agent',
model: {
url: 'https://api.regolo.ai/v1',
id: 'regolo-ai/apertus-70b',
apiKey: process.env.REGOLO_API_KEY,
headers: {
'X-Custom-Header': 'value',
},
},
})

动态选择模型
动态选择模型的直接链接

src/mastra/agents/my-agent.ts
const agent = new Agent({
id: 'dynamic-agent',
name: 'Dynamic Agent',
model: ({ requestContext }) => {
const useAdvanced = requestContext.task === 'complex'
return useAdvanced ? 'regolo-ai/qwen3.6-27b' : 'regolo-ai/apertus-70b'
},
})