# ZenML 0.94.5

- Product: ZenML (https://whatsnew.fyi/product/zenml)
- Vendor: ZenML
- Date: 2026-05-29
- Version: 0.94.5
- Original notes: https://github.com/zenml-io/zenml/releases/tag/0.94.5
- Permalink: https://whatsnew.fyi/product/zenml/releases/0.94.5

What's New is an index, not a publisher: every entry below links to the vendor's own release notes, which are the authoritative source. Entries are labelled where they are hand-curated sample data, pre-releases, or drawn from a secondary source such as a developer blog.

Reuse: the summaries, labels and curation here are © What's New. Quote freely with attribution and a link back; wholesale republication of the corpus is not permitted — terms: https://whatsnew.fyi/terms. The vendors' own release notes remain their publishers'.

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- **added** — Stream custom events in real-time from running pipelines via zenml.streaming.publish() with Server-Sent Events (SSE) support and Redis-based broker with automatic catch-up, gap signaling, and idle cleanup
- **added** — Add POST /api/v1/runs/statistics endpoint to query aggregated metrics across pipeline runs with grouping by status, pipeline, stack, user, time buckets, metadata values, and tags
- **added** — Weights & Biases experiment tracker automatically adds ZenML pipeline and step metadata to W&B runs and records W&B identifiers back to ZenML step metadata with configurable custom groups, job types, run configs, and run IDs
- **added** — Add example demonstrating agentic human-in-the-loop pipelines with dynamic planning, task fan-out via step.map(), result summarization, human approval gates with zenml.wait(), and conditional branching
- **added** — ZenML server supports structured logging with OpenTelemetry instrumentation and ZENML_CONSOLE_LOGGING_FORMAT environment variable with console, json, or text format options
- **added** — Step and pipeline definitions now support string type annotations, either explicitly quoted or via from __future__ import annotations
- **added** — Python package installations during Docker image building can now mount a build cache for faster builds
- **added** — Interactive wait condition input with string schemas now accepts raw strings without quotes with automatic detection and handling
- **changed** — Restored custom console log formatting for non-DEBUG output and added step-name prefixes in terminal output during execution
- **changed** — ZENML_LOGGING_FORMAT variable is now deprecated in favor of ZENML_CONSOLE_LOGGING_FORMAT
- **changed** — Improved scrolling behavior for the pipeline timeline view in dashboard
- **fixed** — Pipeline runs now properly fail when the user pipeline function cannot be imported instead of staying in running state indefinitely
- **fixed** — Keyboard interrupts during active wait conditions are now handled more gracefully without unclear error messages when server transitions to STOPPED status
- **fixed** — Fixed user update endpoint bug where admins couldn't activate or deactivate user accounts due to incorrect field assignment

<!-- ZENML_GITBOOK_RELEASE_NOTES_START tag=0.94.5 -->
###### 🚀 Live Event Streaming for Pipeline Runs

You can now stream custom events in real-time from your running pipelines! Call `zenml.streaming.publish()` from inside any step or dynamic pipeline to push events that can be consumed via Server-Sent Events (SSE). Enable this feature by setting `stream_broker_implementation_source` in your server configuration. The initial implementation includes a Redis-based broker with automatic catch-up, gap signaling, and idle cleanup. [PR #4804](https://github.com/zenml-io/zenml/pull/4804)

###### 📊 Pipeline Run Statistics Endpoint

A new `POST /api/v1/runs/statistics` endpoint lets you query aggregated metrics across your pipeline runs. Group by status, pipeline, stack, user, time buckets (hour/day/week/month), metadata values, tags, and more. Calculate averages, sums, min/max over duration, step counts, cached steps, output artifacts, or custom numeric metadata. Perfect for building dashboards and analytics. [PR #4860](https://github.com/zenml-io/zenml/pull/4860)

###### 🎯 Richer Weights & Biases Integration

The W&B experiment tracker now automatically adds ZenML pipeline and step metadata to your W&B runs, groups runs by pipeline execution, and records W&B identifiers back to ZenML step metadata. You can now configure custom groups, job types, run configs, explicit or deterministic run IDs, resume behavior, and pass through additional `wandb.init` kwargs for complete control over your experiment tracking. [PR #4838](https://github.com/zenml-io/zenml/pull/4838)

###### 🤖 Agentic Human-in-the-Loop Pipeline Example

A new example demonstrates building dynamic agentic pipelines with human approval gates. The example shows how to plan agent tasks, fan them out with `step.map()`, summarize results, pause execution with `zenml.wait()` for human review, and branch the final action based on the decision. Includes clean lineage tracking with `Annotated` step outputs. [PR #4849](https://github.com/zenml-io/zenml/pull/4849)

###### 📝 Structured Logging and OpenTelemetry Instrumentation

The ZenML server now supports structured logging with OpenTelemetry instrumentation. Configure console output with the new `ZENML_CONSOLE_LOGGING_FORMAT` environment variable, choosing between `console`, `json`, or `text` formats. Server logs use a clean structured layout with timestamps, levels, logger context, and optional JSON fields. [PR #4781](https://github.com/zenml-io/zenml/pull/4781)

###### 🛠️ Enhanced Developer Experience

- **String Type Annotations**: Step and pipeline definitions now support string annotations, either explicitly quoted or via `from __future__ import annotations`. [PR #4843](https://github.com/zenml-io/zenml/pull/4843)
- **Build Cache Mounting**: Python package installations during Docker image building can now mount a build cache for faster builds. [PR #4820](https://github.com/zenml-io/zenml/pull/4820)
- **Improved Wait Condition Input**: When resolving wait conditions interactively with string schemas, you can now input raw strings without quotes—ZenML detects and handles this automatically. [PR #4845](https://github.com/zenml-io/zenml/pull/4845)
- **Better Logging Control**: Restored custom console log formatting for non-DEBUG output, added step-name prefixes in terminal output during execution (disable with `ZENML_DISABLE_STEP_NAMES_IN_LOGS=true`), and kept stored logs clean and unformatted. The `ZENML_LOGGING_FORMAT` variable is now deprecated in favor of `ZENML_CONSOLE_LOGGING_FORMAT`. [PR #4851](https://github.com/zenml-io/zenml/pull/4851)

###### 🎨 Dashboard Improvements

- Improved scrolling behavior for the pipeline timeline view. [PR #1053](https://github.com/zenml-io/zenml-dashboard/pull/1053)

<details>
<summary>Fixed</summary>

- Pipeline runs now properly fail when the user pipeline function cannot be imported (e.g., due to missing packages), instead of staying in a `running` state indefinitely. [PR #4832](ht

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