资产生成 Disallow Prompt Training

import { generateText } from 'ai';
 
const { text } = await generateText({
  model: 'anthropic/claude-sonnet-5',
  prompt: 'Explain quantum computing in two sentences.',
  providerOptions: {
    gateway: {
      disallowPromptTraining: true,
    },
  },
});
 
console.log(text);

import asyncio
import ai
 
async def main():
    model = ai.get_model("anthropic/claude-sonnet-5")
    messages = [ai.user_message("Explain quantum computing in two sentences.")]
    params = ai.InferenceRequestParams(
        extra_body={"providerOptions": {"gateway": {"disallowPromptTraining": True}}}
    )
    async with ai.stream(model, messages, params=params) as stream:
        async for event in stream:
            if isinstance(event, ai.events.TextDelta):
                print(event.chunk, end="", flush=True)
    print()
 
asyncio.run(main())

import OpenAI from 'openai';
 
const client = new OpenAI({
  apiKey: process.env.AI_GATEWAY_API_KEY,
  baseURL: 'https://ai-gateway.vercel.sh/v1',
});
 
const response = await client.chat.completions.create({
  model: 'anthropic/claude-sonnet-5',
  messages: [
    {
      role: 'user',
      content: 'Explain quantum computing in two sentences.',
    },
  ],
  // 资产生成 extension fields are not included in the upstream SDK types.
  ...{
    providerOptions: {
      gateway: {
        disallowPromptTraining: true,
      },
    },
  },
});
 
console.log(response.choices[0]?.message.content);

import os
from openai import OpenAI
 
client = OpenAI(
    api_key=os.environ["AI_GATEWAY_API_KEY"],
    base_url="https://ai-gateway.vercel.sh/v1",
)
 
response = client.chat.completions.create(
    model="anthropic/claude-sonnet-5",
    messages=[{"role": "user", "content": "Explain quantum computing in two sentences."}],
    extra_body={"providerOptions": {"gateway": {"disallowPromptTraining": True}}},
)
 
print(response.choices[0].message.content)

curl --fail-with-body https://ai-gateway.vercel.sh/v1/chat/completions -H "Authorization: Bearer $AI_GATEWAY_API_KEY" -H "Content-Type: application/json" -d '{
  "model": "anthropic/claude-sonnet-5",
  "messages": [
    {
      "role": "user",
      "content": "Explain quantum computing in two sentences."
    }
  ],
  "providerOptions": {
    "gateway": {
      "disallowPromptTraining": true
    }
  }
}'

import Anthropic from '@anthropic-ai/sdk';
 
const client = new Anthropic({
  apiKey: process.env.AI_GATEWAY_API_KEY,
  baseURL: 'https://ai-gateway.vercel.sh',
});
 
const response = await client.messages.create({
  model: 'anthropic/claude-sonnet-5',
  messages: [
    {
      role: 'user',
      content: 'Explain quantum computing in two sentences.',
    },
  ],
  max_tokens: 1024,
  ...{
    providerOptions: {
      gateway: {
        disallowPromptTraining: true,
      },
    },
  },
});
 
for (const block of response.content) {
  if (block.type === 'text') console.log(block.text);
}

import os
from anthropic import Anthropic
 
client = Anthropic(
    api_key=os.environ["AI_GATEWAY_API_KEY"],
    base_url="https://ai-gateway.vercel.sh",
)
 
response = client.messages.create(
    model="anthropic/claude-sonnet-5",
    messages=[{"role": "user", "content": "Explain quantum computing in two sentences."}],
    max_tokens=1024,
    extra_body={"providerOptions": {"gateway": {"disallowPromptTraining": True}}},
)
 
for block in response.content:
    if block.type == "text":
        print(block.text)

curl --fail-with-body https://ai-gateway.vercel.sh/v1/messages -H "Authorization: Bearer $AI_GATEWAY_API_KEY" -H "Content-Type: application/json" -H "anthropic-version: 2023-06-01" -d '{
  "model": "anthropic/claude-sonnet-5",
  "messages": [
    {
      "role": "user",
      "content": "Explain quantum computing in two sentences."
    }
  ],
  "max_tokens": 1024,
  "providerOptions": {
    "gateway": {
      "disallowPromptTraining": true
    }
  }
}'

import OpenAI from 'openai';
 
const client = new OpenAI({
  apiKey: process.env.AI_GATEWAY_API_KEY,
  baseURL: 'https://ai-gateway.vercel.sh/v1',
});
 
const response = await client.responses.create({
  model: 'anthropic/claude-sonnet-5',
  input: 'Explain quantum computing in two sentences.',
  ...{
    providerOptions: {
      gateway: {
        disallowPromptTraining: true,
      },
    },
  },
});
 
console.log(response.output_text);

import os
from openai import OpenAI
 
client = OpenAI(
    api_key=os.environ["AI_GATEWAY_API_KEY"],
    base_url="https://ai-gateway.vercel.sh/v1",
)
 
response = client.responses.create(
    model="anthropic/claude-sonnet-5",
    input="Explain quantum computing in two sentences.",
    extra_body={"providerOptions": {"gateway": {"disallowPromptTraining": True}}},
)
 
print(response.output_text)

curl --fail-with-body https://ai-gateway.vercel.sh/v1/responses -H "Authorization: Bearer $AI_GATEWAY_API_KEY" -H "Content-Type: application/json" -d '{
  "model": "anthropic/claude-sonnet-5",
  "input": "Explain quantum computing in two sentences.",
  "providerOptions": {
    "gateway": {
      "disallowPromptTraining": true
    }
  }
}'