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Clarifai 標誌Clarifai

透過 Mastra 的模型路由器存取 12 個 Clarifai 模型。系統會自動使用 CLARIFAI_PAT 環境變數完成身分驗證。

如需進一步了解,請參閱Clarifai 文件

.env
CLARIFAI_PAT=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: 'clarifai/arcee_ai/AFM/models/trinity-mini',
})

// 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Clarifai 文件

模型
「模型」的直接連結

ModelContextToolsReasoningImageAudioVideoInput $/1MOutput $/1M
clarifai/arcee_ai/AFM/models/trinity-mini131K$0.04$0.15
clarifai/clarifai/main/models/mm-poly-8b33K$0.66$1
clarifai/deepseek-ai/deepseek-ocr/models/DeepSeek-OCR8K$0.20$0.70
clarifai/minimaxai/chat-completion/models/MiniMax-M2_5-high-throughput205K$0.30$1
clarifai/mistralai/completion/models/Ministral-3-14B-Reasoning-2512262K$3$2
clarifai/mistralai/completion/models/Ministral-3-3B-Reasoning-2512262K$1$0.55
clarifai/moonshotai/chat-completion/models/Kimi-K2_6262K$0.95$4
clarifai/openai/chat-completion/models/gpt-oss-120b-high-throughput131K$0.09$0.36
clarifai/openai/chat-completion/models/gpt-oss-20b131K$0.04$0.18
clarifai/qwen/qwenCoder/models/Qwen3-Coder-30B-A3B-Instruct262K$0.11$0.75
clarifai/qwen/qwenLM/models/Qwen3-30B-A3B-Instruct-2507262K$0.30$0.50
clarifai/qwen/qwenLM/models/Qwen3-30B-A3B-Thinking-2507262K$0.36$1
12 available models

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.clarifai.com/v2/ext/openai/v1',
id: 'clarifai/arcee_ai/AFM/models/trinity-mini',
apiKey: process.env.CLARIFAI_PAT,
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
? 'clarifai/qwen/qwenLM/models/Qwen3-30B-A3B-Thinking-2507'
: 'clarifai/arcee_ai/AFM/models/trinity-mini'
},
})