Ask a question for one customer | Context Link
Concise grounded answer
One short paragraph plus citations, cheap enough to render directly and small enough to keep an agent's context window intact:
The call from a partner's backend, and the answer rendered in their own product with the citations as footnotes.
Response fields
result·string
The outcome: ok, no_context, or llm_unavailable.
answer·string
The grounded answer, null on no_context and on llm_unavailable.
citations·array
The sources the model actually cited, empty unless result is ok.
citations[].n·integer
The marker number used for that source in the answer text.
citations[].title·string
The source document's title, or Untitled when it has none.
citations[].url·string
The source document's URL, null for content with no address such as pushed or memory posts.
format·string
Always markdown.
Reading result
| Value | Meaning |
|---|---|
ok |
An answer was grounded in that customer's content. |
no_context |
Nothing in that customer's index was relevant. answer is null. |
llm_unavailable |
The model call failed. Served with a 503. |
Rate limit: 2 requests per 10 seconds, per token. Each request costs an LLM call of its own, which is why it is tighter than /context.
Health check for a stored token: GET /api/v1/ping with the same header.
/question and /context accept the token in either Authorization: Bearer <token> or the bare Authorization: <token> form. Everything else in this guide requires the Bearer prefix.