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OpenAI 標誌OpenAI

透過 Mastra 的模型路由器存取 47 個 OpenAI 模型。系統會自動使用 OPENAI_API_KEY 環境變數完成身分驗證。

如需進一步了解，請參閱OpenAI 文件。

.env
OPENAI_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: 'openai/chatgpt-image-latest',
})

// 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)
}

模型
「模型」的直接連結

ModelContextToolsReasoningImageAudioVideoInput $/1MOutput $/1M
openai/chatgpt-image-latest———
openai/gpt-4.11.0M$2$8
openai/gpt-4.1-mini1.0M$0.40$2
openai/gpt-4o128K$3$10
openai/gpt-4o-2024-08-06128K$3$10
openai/gpt-4o-2024-11-20128K$3$10
openai/gpt-4o-mini128K$0.15$0.60
openai/gpt-5400K$1$10
openai/gpt-5-mini400K$0.25$2
openai/gpt-5-nano400K$0.05$0.40
openai/gpt-5-pro400K$15$120
openai/gpt-5.1400K$1$10
openai/gpt-5.2400K$2$14
openai/gpt-5.2-chat-latest128K$2$14
openai/gpt-5.2-pro400K$21$168
openai/gpt-5.3-chat-latest128K$2$14
openai/gpt-5.3-codex400K$2$14
openai/gpt-5.3-codex-spark128K$2$14
openai/gpt-5.41.1M$3$15
openai/gpt-5.4-mini400K$0.75$5
openai/gpt-5.4-nano400K$0.20$1
openai/gpt-5.4-pro1.1M$30$180
openai/gpt-5.51.1M$5$30
openai/gpt-5.5-pro1.1M$30$180
openai/gpt-5.61.1M$5$30
openai/gpt-5.6-luna1.1M$0.20$1
openai/gpt-5.6-sol1.1M$5$30
openai/gpt-5.6-terra1.1M$2$12
openai/gpt-image-1-mini———
openai/gpt-image-1.5———
openai/gpt-image-2—$5$30
openai/gpt-realtime-2.1128K$4$24
openai/o3200K$2$8
openai/o3-pro200K$20$80
openai/text-embedding-3-large8K$0.13—
openai/text-embedding-3-small8K$0.02—
openai/text-embedding-ada-0028K$0.10—
37 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: {
    id: 'openai/chatgpt-image-latest',
    apiKey: process.env.OPENAI_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 ? 'openai/text-embedding-ada-002' : 'openai/chatgpt-image-latest'
  },
})

Provider 選項
「Provider 選項」的直接連結

OpenAI 透過 providerOptions 參數支援以下 Provider 特有選項：

const response = await agent.generate('Hello!', {
  providerOptions: {
    openai: {
      // See available options in the table below
    },
  },
})

可用選項
「可用選項」的直接連結

conversation?:

string | null | undefined

include?:

("web_search_call.results" | "file_search_call.results" | "message.output_text.logprobs" | "reasoning.encrypted_content")[] | null | undefined

instructions?:

string | null | undefined

logprobs?:

number | boolean | undefined

maxToolCalls?:

number | null | undefined

metadata?:

any

parallelToolCalls?:

boolean | null | undefined

previousResponseId?:

string | null | undefined

promptCacheKey?:

string | null | undefined

promptCacheOptions?:

{ mode?: "explicit" | "implicit" | undefined; ttl?: "30m" | undefined; } | undefined

promptCacheRetention?:

"in_memory" | "24h" | null | undefined

reasoningEffort?:

string | null | undefined

reasoningMode?:

"standard" | "pro" | undefined

reasoningContext?:

"auto" | "current_turn" | "all_turns" | undefined

reasoningSummary?:

string | null | undefined

safetyIdentifier?:

string | null | undefined

serviceTier?:

"auto" | "default" | "flex" | "priority" | null | undefined

store?:

boolean | null | undefined
Controls whether OpenAI stores your API requests for model training. Required to be "false" if your organization has zero data retention enabled. See: https://platform.openai.com/docs/guides/your-data#zero-data-retention

passThroughUnsupportedFiles?:

boolean | undefined

strictJsonSchema?:

boolean | null | undefined

textVerbosity?:

"low" | "medium" | "high" | null | undefined

truncation?:

"auto" | "disabled" | null | undefined

user?:

string | null | undefined

systemMessageMode?:

"remove" | "system" | "developer" | undefined

forceReasoning?:

boolean | undefined

allowedTools?:

{ toolNames: string[]; mode?: "auto" | "required" | undefined; } | undefined

直接安裝 Provider
「直接安裝 Provider」的直接連結

你也可以直接將此 Provider 安裝為獨立套件，用它取代 Mastra 模型路由字串。詳情請參閱套件文件。

npm install @ai-sdk/openai

如需此 Provider 的詳細說明，請參閱 AI SDK OpenAI Provider 文件。

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