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**Release Date:** May 7th, 2026

* * *

| New Feature | Improvement | Bug Fix | Enterprise Only |
| --- | --- | --- | --- |
|  |  |  |  |

## Published Models [​](https://docs.clarifai.com/product-updates/changelog/release124/\#published-models "Direct link to Published Models")

| Status | Change | Details |
| --- | --- | --- |
|  | Published new models | - Published [Nemotron Nano V3 Omni](/content/nvidia/chat-completion/models/nemotron-nano-v3-omni/index.html) (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. <br>- Published [Qwen3.6-35B-A3B](/content/qwen/qwen-VL/models/Qwen3_6-35B-A3B-FP8/index.html), 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 [​](https://docs.clarifai.com/product-updates/changelog/release124/\#cached-prompt-tokens "Direct link to 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.<br>- Learn more [here](https://docs.clarifai.com/compute/inference/routing/#prediction-caching). |

## Pipelines [​](https://docs.clarifai.com/product-updates/changelog/release124/\#pipelines "Direct link to 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.<br>- Use `clarifai pipeline init` to scaffold the pipeline config and `clarifai pipeline upload` to deploy it to the platform.<br>- Learn more [here](https://docs.clarifai.com/create/models/). |
|  | `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.<br>- See [PR #1012](https://github.com/Clarifai/clarifai-python/pull/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 [​](https://docs.clarifai.com/product-updates/changelog/release124/\#model-deployment "Direct link to 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 [​](https://docs.clarifai.com/product-updates/changelog/release124/\#local-runners "Direct link to 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.<br>- Pass the `--public` flag to make all associated resources public in a single command. |

## Bug Fixes (Python SDK) [​](https://docs.clarifai.com/product-updates/changelog/release124/\#bug-fixes-python-sdk "Direct link to 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. |

- [Published Models](https://docs.clarifai.com/product-updates/changelog/release124/#published-models)
- [Cached Prompt Tokens](https://docs.clarifai.com/product-updates/changelog/release124/#cached-prompt-tokens)
- [Pipelines](https://docs.clarifai.com/product-updates/changelog/release124/#pipelines)
- [Model Deployment](https://docs.clarifai.com/product-updates/changelog/release124/#model-deployment)
- [Local Runners](https://docs.clarifai.com/product-updates/changelog/release124/#local-runners)
- [Bug Fixes (Python SDK)](https://docs.clarifai.com/product-updates/changelog/release124/#bug-fixes-python-sdk)