truss 0.18.35
UpdateyesterdayUnverifiedAdded Oct 15, 2026
- feat: set the sampler replica count in truss loops push feat: Label model server startup logs until readiness (DI-2301) Widen fastapi constraint to <0.137.0 :boom: fix(server): register model module in sys.modules before exec_module Release 0.18.35
Topics: Observability
More truss releases
Every truss releasetruss 0.18.34
- Add include and exclude filters to BDN mount configuration feat: Forward egress_restrictions for BIS and warn about missing hosts Release 0.18.34
truss 0.18.33
- feat(performance-client): NET-1589 Explicit trace context and opt-in OTLP export fix(performance-client): stop hedge and retry budgets from wrapping past zero Add --spot to truss train workstation fix(chains): consolidate push logging and stop duplicate status header Add an SSH opt-out for loops exec Keep inference working when performance client tracing...
truss 0.18.32
- Bump control server truss pin to fix dev deployments on newer GPUs Set control server websocket limit to 100MiB (NET-1566) Fix two integration test failures on main Allow data-parallel BEI encoder deployments Release 0.18.32
truss 0.18.31
- Truss: support updated training auth config (OIDC, AssumeRole) Remove transfer command from BEI startup trt config: Honor configured BEI max token limit Add fp8_mlp_only quantization type fix(config): preserve YAML merge keys during duplicate checks Honor global --non-interactive in child commands Update the base_image examples in the config schema Add...
truss 0.18.30
- fix(trt-llm): Add LoRA cache runtime settings Use relative references for BDN volume mounts fix(performance-client): allow opting out of global tracing initialization Add BDN access and hotload configuration under BND section Release 0.18.30
truss 0.18.29
- feat(cli): use CUDA 12.9 as the workstation default feat(cli): add JSON output to truss train workstation Release 0.18.29
truss 0.18.28
- Tolerate an empty teams list during team resolution Keep external_data Dockerfile dest as a POSIX container path Add bnd section to Truss config Align README quickstart with the TRT-LLM push path Release 0.18.28
truss 0.18.27
- Isolate docker server dependencies from base image uv config feat(cli): default B300/GB300 workstations to CUDA 13 image Speed up ignored path traversal in watch mode Fix shell injection in external_data Dockerfile curl RUN lines Add AWS_ASSUME_ROLE auth method for base images and weights Release 0.18.27
Also shipped on Oct 14, 2026
Baseten in October 2026Workspace-level package repositories for Databricks Apps are generally available
Workspace admins can now configure default Python and npm package repositories for Databricks Apps. Apps inherit the workspace configuration while still allowing app-level overrides. See Configure default package repositories .
The Apache Hive catalog endpoint in the Lakehouse runtime catalog is now generally available (GA)
The Apache Hive catalog endpoint in the Lakehouse runtime catalog is now generally available (GA). This integration lets you use the metastore as a serverless, central metadata layer, enabling seamless data sharing and unified querying across Apache Spark, Apache Hive, and BigQuery.
Metadata migration from Dataproc Metastore to Lakehouse is now generally available (GA)
Metadata migration from Dataproc Metastore to Lakehouse is now generally available (GA). You can perform a one-time backfill migration or dry run to migrate metadata from a Dataproc Metastore service to an Apache Iceberg REST catalog endpoint or a Hive catalog endpoint using the Google Cloud console, the gcloud CLI, or the REST API.
Conversational analytics now lets you create a conversation with all of the data sources in multiple...
Conversational analytics now lets you create a conversation with all of the data sources in multiple projects, or create a conversation with a dataset . These features are generally available (GA).
You can publish a BigQuery Conversational Analytics agent in Gemini Enterprise
You can publish a BigQuery Conversational Analytics agent in Gemini Enterprise . This feature is now generally available (GA).
The AI.AGG function now supports the output_schema argument, which lets you specify the schema of the...
The AI.AGG function now supports the output_schema argument, which lets you specify the schema of the function output as a comma-separated list of fields. This feature is generally available (GA).