Wenxin (ERNIE)

Query Baidu's Wenxin / ERNIE via Wire — China's leading AI assistant, with citations

POSThttps://api.anakin.io/v1/wire/task

Wenxin (文心一言 / ERNIE) is Baidu's AI assistant. Send a prompt in any language and get the answer with its citations and web sources. Run it with the wenxin_prompt action on POST /v1/wire/task.

Catalog: wenxin · action_id: wenxin_prompt · Credits: 2 / call · Auth: none

Request Body

{
  "action_id": "wenxin_prompt",
  "params": { "prompt": "What are the best running shoes in 2026?" }
}

Parameter	Type	Description
`action_id` required	string	Set to `wenxin_prompt`
`params.prompt` required	string	Your question for ERNIE (up to 8192 chars, any language)
`params.additional_prompt`	string	Optional follow-up, asked as a second turn
`params.include_html`	boolean	Also return the answer as HTML under `answer_html`. Default `false`

Code Examples

curl -X POST https://api.anakin.io/v1/wire/task \
  -H "X-API-Key: your_api_key" \
  -H "Content-Type: application/json" \
  -d '{
    "action_id": "wenxin_prompt",
    "params": { "prompt": "What are the best running shoes in 2026?" }
  }'

import requests

res = requests.post(
    'https://api.anakin.io/v1/wire/task',
    headers={'X-API-Key': 'your_api_key'},
    json={'action_id': 'wenxin_prompt', 'params': {'prompt': 'What are the best running shoes in 2026?'}},
)
job_id = res.json()['job_id']

const res = await fetch('https://api.anakin.io/v1/wire/task', {
  method: 'POST',
  headers: { 'X-API-Key': 'your_api_key', 'Content-Type': 'application/json' },
  body: JSON.stringify({
    action_id: 'wenxin_prompt',
    params: { prompt: 'What are the best running shoes in 2026?' },
  }),
});
const { job_id } = await res.json();

Response

202 Accepted

{ "status": "processing", "job_id": "…", "poll_url": "/v1/wire/jobs/…" }

Poll GET /v1/wire/jobs/{id} until status: "completed":

200 OK

{
  "status": "completed",
  "credits_used": 2,
  "data": {
    "status": "ok",
    "data": {
      "prompt": "…", "title": "…",
      "answer_text": "…", "answer_text_markdown": "…", "answer_html": "…",
      "citations": [], "search_sources": [], "references": [],
      "related_media": [], "recommendations": [],
      "conversation_id": "…", "response_id": "…", "language": "zh", "detected_location": "…", "model": "…"
    },
    "meta": { "action_id": "wenxin_prompt", "catalog_slug": "wenxin", "envelope_version": "v1" }
  }
}

Field	Type	Description
`data.data.answer_text`	string	The answer (also `answer_text_markdown`, and `answer_html` when `include_html`)
`data.data.citations`	array	Sources cited in the answer
`data.data.search_sources`	array	Sources considered during search
`data.data.language`	string	Detected answer language

Handles any language, strongest on Chinese-language queries. additional_prompt runs a second conversational turn. Billed only on success.