Release 12.3

Release Date: April 8th, 2026

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New Feature	Improvement	Bug Fix	Enterprise Only

Agent Skills

Status	Change	Details
	Released Clarifai Skills	Clarifai Skills are specialized prompt templates that transform AI coding assistants — Claude Code, Cursor, Codex, and more — into Clarifai platform experts. Learn more about them here.

Model Training

Status	Change	Details
	Added model pipeline training from templates	You can now train models using pipeline templates, enabling a streamlined, configuration-driven training workflow.
Deprecation	Deprecated legacy model training (Triton + Kubeflow)	Legacy model training methods using Triton and Kubeflow have been deprecated. Note: Transfer Learn training remains available.

Request Routing

Status	Change	Details
	Improved how Clarifai routes prediction requests for optimal performance	Added KV cache affinity to route requests to replicas with relevant cache state. Added session-aware routing to keep user requests on the same replica. Reduced cold starts with automatic pre-warming of popular instances. Added prediction caching for identical input + model + version combinations. Learn more about them here.

UI Updates

Status	Change	Details
	Updated Compute List and View pages	Refreshed the List and View pages for deployments, nodepools, and clusters with improved layouts and information display.
	Updated the log viewer component	Improved the log viewer UI for better readability and navigation of model and runner logs.
	Updated the Home experience	Refreshed the Clarifai platform Home page with an improved experience for navigating resources and getting started.
	Updated the model page UI	Redesigned model page with an improved layout and user experience.

Python SDK

Model Serving & Deployment

Status	Change	Details
	Added clarifai model deploy command and simplified clarifai model init	New clarifai model deploy command with multi-cloud GPU discovery and a zero-prompt deployment flow. Simplified config.yaml structure for model initialization.
	Smart resource reuse and private-by-default for clarifai model serve	Model serve now reuses existing resources when available instead of creating new ones. Served models are private by default.
	Added --keep flag to clarifai model serve	Use --keep to preserve the build directory after serving, useful for debugging and inspecting build artifacts.
	Local Runner is now public by default	Models launched via the local runner are now publicly accessible by default, removing the need to manually set visibility.

Model Runner

Status	Change	Details
	Added VLLMOpenAIModelClass	New VLLMOpenAIModelClass parent class with built-in cancellation support and health probes for vLLM-backed models.
	Optimized model runner memory and latency	Reduced memory footprint and improved response latency in the model runner. Streamlined overhead in SSE (Server-Sent Events) streaming.
	Auto-detect and clamp max_tokens	The runner now automatically detects the backend's max_seq_len and clamps max_tokens to that value, preventing out-of-range errors.

Bug Fixes

Status	Change	Details
	Fixed reasoning model token tracking and streaming in agentic class	Fixed token tracking for reasoning models to correctly account for reasoning tokens. Fixed event-loop safety, streaming, and tool call passthrough in the agentic class.
	Fixed user/app context conflicts in CLI	Resolved conflicts between user_id and app_id when using named contexts in CLI commands.
	Fixed clarifai model init directory handling	clarifai model init now correctly updates an existing model directory instead of creating a subdirectory.