Ask the assistant (streaming)
Same as `createChatCompletion`, but the answer arrives as Server-Sent Events: `sources` first, then `delta` chunks of the answer, then `usage` and `done` with the `conversation_id`.
Search-key operation
Same as createChatCompletion, but the answer arrives as Server-Sent Events: sources first, then delta chunks of the answer, then usage and done with the conversation_id.
Authorization
api_key_header Every request carries an organization API key. A key has one of two scopes. A full key reaches every operation in this document and belongs on your server. A search key is the one to ship in a browser widget or a storefront page: it reaches only the operations marked x-nova-key-scope: search — searching, federated search, recommendations, event ingestion, and the visitor-facing AI operations (semantic and image search, voice transcription and voice search, assistant chat, and the visitor's own conversation). It cannot write documents or read or change configuration; any other operation answers 403. AI operations are paid in credits from the organization's wallet whichever key calls them (402 when the balance runs out), and a search key needs X-NOVA-SESSION-ID on them: the session is what a conversation belongs to, and what the per-session allowance (429) is counted against. A key of either scope may additionally carry restrictions set in the console: an allowlist of collections (403 elsewhere), a forced filter_by per collection that is ANDed into every search (document-level access control), an allowlist of fields (include_fields is limited to it and a request naming any other field in query_by, facet_by, sort_by, filter_by or highlight_fields answers 400), an IP/CIDR allowlist and an Origin/Referer allowlist (403), and a per-key rate limit (429 with Retry-After).
In: header
Path Parameters
The id of the assistant
Request Body
application/json
TypeScript Definitions
Use the request body type in TypeScript.
Response Body
text/event-stream
application/json
application/json
application/json
application/json
application/json
curl -X POST "https://example.com/assistants/string/chat/completions/stream" \ -H "Content-Type: application/json" \ -d '{ "messages": [ { "role": "system", "content": "string" } ] }'{ "type": "sources", "conversation_id": "string", "sources": [ { "collection": "string", "document": {}, "score": 0, "snippet": "string" } ], "delta": "string", "usage": { "input_tokens": 0, "output_tokens": 0 }, "message": "string"}Ask the assistant POST
Retrieves matching documents from the assistant's collections, answers with the model and returns the answer together with the documents it was based on. Pass the returned `conversation_id` in the next request to continue the conversation.
Retrieve a conversation GET
Returns the messages exchanged so far in a conversation.