Answer a question with citations
exa.web.answerGet an LLM answer to a question informed by Exa search results. Fully compatible with OpenAI's chat completions endpoint.
- 价格
- $0.005/call按供应商原价
- 成功率
- 99.8%近 30 天 · 269,669 次
- 延迟 p50
- 1.9 秒p95 4.4 秒
- 最后验证
- 2026年8月27日实测可用
POSThttps://toolswitch.dev/v1/tools/exa.web.answer预览在线试用即将上线供应商文档 ↗
- 可用平台额度调用
- 同步返回
- 读取公开数据
参数
response is {answer, citations: [{url, title, publishedDate, author, text?}], costDollars}. This is the one Exa route that runs a model over the results; for raw results use exa.web.search.
这个工具没有参数，详见供应商文档 ↗ 供应商文档
代码示例
将 $TOOLSWITCH_KEY 替换为你在控制台创建的密钥。
预览
curl -X POST 'https://toolswitch.dev/v1/tools/exa.web.answer' \
-H "X-Toolswitch-Key: $TOOLSWITCH_KEY" \
-H "Content-Type: application/json" \
--data-raw '{"query":"What year was the HNSW algorithm paper published and by whom?"}'import os
import json
import requests
response = requests.request(
"POST",
"https://toolswitch.dev/v1/tools/exa.web.answer",
headers={"X-Toolswitch-Key": os.environ["TOOLSWITCH_KEY"]},
json=json.loads("{\"query\":\"What year was the HNSW algorithm paper published and by whom?\"}"),
)
response.raise_for_status()
print(response.text)const response = await fetch("https://toolswitch.dev/v1/tools/exa.web.answer", {
method: "POST",
headers: {
"X-Toolswitch-Key": process.env.TOOLSWITCH_KEY ?? "",
"Content-Type": "application/json",
},
body: JSON.stringify(JSON.parse("{\"query\":\"What year was the HNSW algorithm paper published and by whom?\"}")),
});
if (!response.ok) throw new Error(`Request failed: ${response.status}`);
console.log(await response.text());网关接口为预览版，地址与鉴权方式可能调整。 示例参数仅为样例数据。 调用按 $0.005/call 计费，已含服务费。