Cloudflare Workers AI
透過 Mastra 的模型路由器存取 22 個 Cloudflare Workers AI 模型。系統會自動使用 CLOUDFLARE_API_KEY 環境變數完成身分驗證。 Configure CLOUDFLARE_ACCOUNT_ID as well.
如需進一步了解，請參閱Cloudflare Workers AI 文件。
.env
CLOUDFLARE_ACCOUNT_ID=your-account-id
CLOUDFLARE_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: 'cloudflare-workers-ai/@cf/aisingapore/gemma-sea-lion-v4-27b-it',
})
// 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)
}
資訊
Mastra 使用與 OpenAI 相容的 /chat/completions endpoint。部分 Provider 特有功能可能無法使用，詳情請參閱Cloudflare Workers AI 文件。
模型「模型」的直接連結
| Model | Context | Tools | Reasoning | Image | Audio | Video | Input $/1M | Output $/1M |
|---|---|---|---|---|---|---|---|---|
cloudflare-workers-ai/@cf/aisingapore/gemma-sea-lion-v4-27b-it | 128K | $0.35 | $0.56 | |||||
cloudflare-workers-ai/@cf/deepseek-ai/deepseek-r1-distill-qwen-32b | 80K | $0.50 | $5 | |||||
cloudflare-workers-ai/@cf/google/gemma-4-26b-a4b-it | 256K | $0.10 | $0.30 | |||||
cloudflare-workers-ai/@cf/ibm-granite/granite-4.0-h-micro | 131K | $0.02 | $0.11 | |||||
cloudflare-workers-ai/@cf/meta/llama-3.1-8b-instruct-fp8 | 32K | $0.15 | $0.29 | |||||
cloudflare-workers-ai/@cf/meta/llama-3.2-11b-vision-instruct | 128K | $0.05 | $0.68 | |||||
cloudflare-workers-ai/@cf/meta/llama-3.2-1b-instruct | 60K | $0.03 | $0.20 | |||||
cloudflare-workers-ai/@cf/meta/llama-3.2-3b-instruct | 80K | $0.05 | $0.34 | |||||
cloudflare-workers-ai/@cf/meta/llama-3.3-70b-instruct-fp8-fast | 24K | $0.29 | $2 | |||||
cloudflare-workers-ai/@cf/meta/llama-4-scout-17b-16e-instruct | 131K | $0.27 | $0.85 | |||||
cloudflare-workers-ai/@cf/meta/llama-guard-3-8b | 131K | $0.48 | $0.03 | |||||
cloudflare-workers-ai/@cf/mistralai/mistral-small-3.1-24b-instruct | 128K | $0.35 | $0.56 | |||||
cloudflare-workers-ai/@cf/moonshotai/kimi-k2.6 | 262K | $0.95 | $4 | |||||
cloudflare-workers-ai/@cf/moonshotai/kimi-k2.7-code | 262K | $0.95 | $4 | |||||
cloudflare-workers-ai/@cf/nvidia/nemotron-3-120b-a12b | 256K | $0.50 | $2 | |||||
cloudflare-workers-ai/@cf/openai/gpt-oss-120b | 128K | $0.35 | $0.75 | |||||
cloudflare-workers-ai/@cf/openai/gpt-oss-20b | 128K | $0.20 | $0.30 | |||||
cloudflare-workers-ai/@cf/qwen/qwen2.5-coder-32b-instruct | 33K | $0.66 | $1 | |||||
cloudflare-workers-ai/@cf/qwen/qwen3-30b-a3b-fp8 | 33K | $0.05 | $0.34 | |||||
cloudflare-workers-ai/@cf/qwen/qwq-32b | 24K | $0.66 | $1 | |||||
cloudflare-workers-ai/@cf/zai-org/glm-4.7-flash | 131K | $0.06 | $0.40 | |||||
cloudflare-workers-ai/@cf/zai-org/glm-5.2 | 262K | $1 | $4 |
進階設定「進階設定」的直接連結
自訂標頭「自訂標頭」的直接連結
src/mastra/agents/my-agent.ts
const agent = new Agent({
id: 'custom-agent',
name: 'custom-agent',
model: {
url: 'https://api.cloudflare.com/client/v4/accounts/${CLOUDFLARE_ACCOUNT_ID}/ai/v1',
id: 'cloudflare-workers-ai/@cf/aisingapore/gemma-sea-lion-v4-27b-it',
apiKey: process.env.CLOUDFLARE_API_KEY,
headers: {
'X-Custom-Header': 'value',
},
},
})
動態選擇模型「動態選擇模型」的直接連結
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
? 'cloudflare-workers-ai/@cf/zai-org/glm-5.2'
: 'cloudflare-workers-ai/@cf/aisingapore/gemma-sea-lion-v4-27b-it'
},
})