Search semantic model context
Search across published semantic models. Each search_targets entry picks an entity type (source, dimension, measure, view, or dimensional_value) with optional search_text; omitting search_text returns the most prominent items of that type. Results are sources with matched entities, ranked by relevance and prominence. Use scopes to narrow the search.
Documentation Index
Fetch the complete documentation index at: https://docs.credibledata.com/llms.txt
Use this file to discover all available pages before exploring further.
Authorizations
Auth0-issued user JWT. Provide as Authorization: Bearer <token>.
Body
Request body for the get_context endpoint
Typed search targets describing what to find. Each target specifies a target type and optional search text for semantic matching.
Optional list of scopes to narrow the search. Results will be scoped to the union of these.
Filter parameter values keyed by filter name. Used with sources that
declare #(filter) annotations. Each value is either a single string
or an array of strings (matches the dataplane API's filterParams
shape). When the new dimensional-index path is enabled and active
for a package whose target dimension declares #(filter, required),
the corresponding filter values MUST be supplied here — the request
will return 400 otherwise. Ignored on the legacy path.
Optional. The user's prompt that triggered this call, used for observability and downstream ranking. On the first turn this is the user's message verbatim. On follow-up turns where the user's message doesn't convey intent (e.g. "yes" to an agent suggestion), synthesize a short prompt that captures the intent of the turn. Use the same value for every get_context call within a single turn.