Release 12.4 | Clarifai Docs
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Release Date: May 7th, 2026
| New Feature | Improvement | Bug Fix | Enterprise Only |
|---|---|---|---|
Published Models
| Status | Change | Details |
|---|---|---|
| Published new models | - Published Nemotron Nano V3 Omni (30B total / 3B active — MoE). It’s NVIDIA's multimodal LLM that unifies video, audio, image, and text understanding in a single model, with integrated reasoning support. - Published Qwen3.6-35B-A3B, an efficient MoE LLM with 35B total but only 3B active parameters, delivering near-large-model performance at much lower compute cost. |
Cached Prompt Tokens
| Status | Change | Details |
|---|---|---|
| Introduced cached prompt tokens in model responses | - Model responses now include cached prompt token counts, providing accurate token usage reporting when prompt caching is active. - Learn more here. |
Pipelines
| Status | Change | Details |
|---|---|---|
| Introduced code-first Pipeline DSL with CLI support | - Introduced a code-first Pipeline DSL that lets you define pipelines programmatically in Python and generate configs via CLI. - Use clarifai pipeline init to scaffold the pipeline config and clarifai pipeline upload to deploy it to the platform.- Learn more here. |
|
clarifai pipeline run --dev for local pipeline development |
- New --dev flag on clarifai pipeline run enables a local development loop, letting you iterate on pipeline steps without deploying to the cloud.- See PR #1012 for details. |
|
clarifai pipeline local-run for Docker-based step testing |
- New clarifai pipeline local-run command runs individual pipeline steps locally inside Docker containers, matching the production runtime environment before you deploy. |
|
Auto-create compute resources via --instance flag |
- clarifai pipeline run now accepts an --instance flag that automatically creates the required compute cluster and nodepool if they don't already exist. |
|
Improved clarifai pipeline init UX and help text |
- Clearer help text, improved prompts, and a post-init next-steps message now guide users through the full pipeline setup flow after running clarifai pipeline init. |
Model Deployment
| Status | Change | Details |
|---|---|---|
Disabled deploy_latest_version for clarifai model serve |
- clarifai model serve no longer automatically promotes a newly uploaded version as the live deployed version, giving you explicit control over which version is active. |
Local Runners
| Status | Change | Details |
|---|---|---|
Local runner defaults to PRIVATE; --public flag patches all visibilities |
- Models and resources created via the local runner are now private by default. - Pass the --public flag to make all associated resources public in a single command. |
Bug Fixes (Python SDK)
| Status | Change | Details |
|---|---|---|
Fixed deployment worker pinning on clarifai model serve |
- Re-pins the deployment's desired_worker to the current model version when running clarifai model serve, preventing stale version references after serving. |
|
| Fixed Hugging Face private repo access validation | - Corrected access validation for private Hugging Face repos that return a not_found response to anonymous requests, eliminating false access errors on valid private repos. |
|
| Loosened pinned requirements and fixed Clarifai package detection | - Relaxed overly strict version pins in the SDK's dependencies and fixed a bug in detecting the installed Clarifai package version. | |
Fixed User.app() returning empty values |
- User.app() now correctly returns actual server-side app data instead of empty placeholder values. |