Enable on-demand expertise with Agent Skills in Genkit Go

To prevent context window bloat and reduce token consumption, Genkit Go introduces Agent Skills based on a progressive disclosure architecture. Developers can package specialized instructions, scripts, and references into modular SKILL.md bundles where only the frontmatter metadata is initially exposed to the agent's system prompt. When a task matches the skill's description, Genkit's middleware dynamically loads the full instruction body and associated assets, ensuring the model accesses precise workflows exactly when needed.

Agent and Model Evaluations in Gemini Enterprise Agent Platform are now GA

Agent Platform's evaluation service is now generally available, providing developers with a unified engine to measure agent quality consistently across local development experiments and live production traffic. You can evaluate agents using over 20 pre-built metrics, DeepMind-backed adaptive rubrics, or custom code-based and LLM-as-a-judge metrics stored in a centralized, versioned registry. The service integrates directly into existing workflows via the Agent Platform SDK, agents-cli, and ADK, offering built-in user and environment simulators to automate complex multi-turn testing and streamline CI pipelines.

Chrome Dev for Desktop Update

The Dev channel has been updated to 153.0.7979.3 for Windows, Mac and Linux.

A partial list of changes is available in the Git log. Interested in switching release channels? Find out how. If you find a new issue, please let us know by filing a bug. The community help forum is also a great place to reach out for help or learn about common issues.

Chrome Release Team
Google Chrome

Long Term Support Channel Update for ChromeOS

A new LTS  version 150.0.7871.213 (Platform Version: 16700.60.0), is being rolled out for most ChromeOS devices. 

If you have devices in the LTC channel, they will be updated to this version. The LTS channel remains on LTS-144 until October 6th, 2026. 


Release notes for LTC-150 can be found here 

Want to know more about Long-term Support? Click here


Andy Wu

Google Chrome OS

How to use Google microbenchmarks for evaluating TPU performance

Google's open-source TPU microbenchmark suite provides developers with granular performance metrics across Network, Compute, HBM, Host Transfer, and Attention components to validate real-world hardware capabilities. By leveraging these benchmarks to establish a Roofline model, engineers can accurately diagnose whether their machine learning workloads are compute-, memory-, or network-bound. This empirical baseline directly guides targeted software optimizations—such as kernel tuning, mesh sharding, and rematerialization—to maximize hardware utilization for large-scale model deployments.

Data Manager API updates: RemoveAllAudienceMembers method, ingestion field warnings, expanded address data

The latest release of the Data Manager API introduces features that simplify audience management, enhance ingestion workflows with field-level warnings, and enable more granular user-provided data for Google Analytics.

Remove all audience members

Use the new RemoveAllAudienceMembers method to clear all members from specified user lists in a single operation. The optional removeAsOfTime parameter lets you target only those members added before a specific timestamp.

This is particularly useful when you need to perform a full refresh (or "replace all") of your audience data, allowing you to clear the existing list and populate it with a new set of users.

Ingestion field warnings

Data Manager API ingestion responses now include detailed field-level warnings for validation issues on optional fields. If the API detects validation issues with optional fields, your ingestion request will succeed and the rest of your ingestion data will still be processed. Validation failures for required fields will continue to fail the entire request following the fast-fail model.

If any optional field you provide is invalid, the response from IngestEventsRequest or IngestAudienceMembersRequest includes a field_warnings field with a list of FieldWarning objects. Each warning provides a specific reason (WarningReason), a descriptive message, and the location of the field in the request where the issue occurred.

Additional address data for Google Analytics events

You can now provide additional user address information when ingesting events to Google Analytics destinations. Along with the given_name, family_name, region_code, and postal_code fields, AddressInfo resource now supports:

  • address_line (street address)
  • city
  • administrative_area (state or province)

Also, you can now use the existing user-provided data (user_data) field to meet the Identifiers requirement for multi-source events sent to web data streams. This gives you another option when you don't have the ad_identifiers.gclid, user_id, or client_id for a multi-source event.

Get started

Build faster with AI agent skills: We recently introduced new Data Manager API agent skills to help you speed up your integrations. Explore the new skills in the Google Skills GitHub repository to get more accurate, efficient guidance directly within your AI-assisted coding environment.

If you have any questions or want to discuss this post, please reach out to us on our "Google Advertising and Measurement Community" Discord server. You can also contact us through the support page if you have an issue or need help with the API.

If you're interested in becoming a data partner, please fill out the Partner Interest Form.

- Lindsey Volta, on behalf of the Data Manager API Team