Align with the latest public-api collections.proto: paginated
ListCollections (limit/offset_token/next_offset_token) plus keyword
prefix and text analysis fields (stopwords, stemmer, ascii_folding).
Drop the qdrant_client.models.serverless alias module and the model
re-exports in qdrant_client.serverless: both were manually maintained
re-export lists. qdrant_client.serverless.models is the single public
import path; the serverless package itself exports only the clients.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01R25zh9xS78xMHgPcoFaUdw
Thin alias module re-exporting qdrant_client.serverless.models, matching
the qdrant_client.models convention of the regular client; the old
import path keeps working. Examples and tests use the new path. Also
replace an API key that slipped into the committed example with the
placeholder, and exclude examples/ from mypy so examples can use the
dynamic qdrant_client.models namespace.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01R25zh9xS78xMHgPcoFaUdw
Same approach as the regular client: the sync client is the source of
truth and tools/async_client_generator produces the async version.
The serverless generator delegates to AsyncQdrantRemote, awaits the
CollectionsService stub RPCs (awaitable on the aio channel the async
remote already builds), and drops the sync context manager. The file is
covered by the async-client-consistency-check like the other generated
clients.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01R25zh9xS78xMHgPcoFaUdw
Serverless exposes the same point-level API as a regular cluster (minus
read consistency, shard selection, write ordering and filtered updates),
but a simplified tenant-facing collection management API.
- qdrant_client/serverless: dedicated module, nothing added to the
top-level package
- gRPC stubs generated from qdrant-cloud-public-api's
serverless/collections.proto (renamed to serverless_collections.proto
to avoid a descriptor-pool filename clash with the regular client's
collections.proto), kept internal
- hand-written pydantic models for the serverless collection config,
reusing the existing Distance/TokenizerType enums
- point operations delegate to an internal QdrantRemote(prefer_grpc=True)
with trimmed signatures; collection operations talk to the serverless
CollectionsService on the same channel
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01R25zh9xS78xMHgPcoFaUdw
qdrant-cloud-bot