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Search Endpoints
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AI-powered Q&A grounded in your project’s content
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Answers a natural language question using content from your project as context. The endpoint first performs semantic retrieval to find relevant content, then sends the context to an LLM to generate a grounded answer. Responds via Server-Sent Events (SSE) for streaming output.
Requires a paid plan with semantic search enabled.
Each source object follows the same shape as the Search Content response —
Only returned when headers have not yet been sent (i.e., before streaming starts).
Body Parameters
The question to answer. Typos and ambiguous phrasing are handled gracefully.
Content types to use as context. Any combination of
entity, comment, message.Restrict the context lookup to a specific space.
Restrict message context lookup to a specific conversation.
Maximum number of content chunks to retrieve for context. Maximum
50.Query Parameters
Space-scoped reputation
This endpoint has a space in context, so it accepts the opt-in reputation params. They add aspaceReputation field to each source record’s populated user, alongside the always-present reputation total. Requires the reputation bundle. See the Reputation data model for the full contract.
Adds
spaceReputation to each returned user. One of: a space <uuid> (that space’s bucket), none (the project-general bucket), or context (the space derived from this request’s context — per-row on lists). The empty string and the legacy general / null aliases are rejected (400). Missing buckets read as 0.Only honored with an explicit space
<uuid>. When true, spaceReputation is the subtree sum — the space plus all of its descendants (the root space’s own bucket included). Ignored for none; not allowed with context.Response
The response is a Server-Sent Events stream withContent-Type: text/event-stream. Three event types are emitted:
token — streamed LLM answer tokens:
sources — the content records used as context, sent after the answer is complete:
sourceType, similarity, and a fully populated record. An empty array is sent when no relevant context was found.
done — signals the stream is finished:
If no relevant content is found above the similarity threshold, the LLM response is skipped and the answer event immediately says “I couldn’t find any relevant content to answer your question.”
Error Responses
Plan Required — 403
Plan Required — 403
Error Event (during stream)
Error Event (during stream)
If an error occurs after streaming starts:

