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Salesforce adds Agent Evals and cost controls to Agent Fabric for enterprise AI

Salesforce announced new features for Agent Fabric on October 27, 2026, targeting enterprise AI governance. The platform, which handles over 1.2 billion daily requests, now includes Agent Evals to automatically test agents and models in production, triggering interventions like the Agent Kill Switch when quality drops. API Evals detects breaking API changes before they reach production, while…

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Key points

  • Agent Fabric now auto-tests agents and models in production, triggering interventions if quality falls below thresholds
  • Cost Controls enforce budget limits, cutting token usage by up to 75% via semantic caching and response trimming
  • API Evals detects API changes before they break agent workflows, with general availability in January 2027

The updates follow survey data from LangChain’s 2025 report, which found only 37.3% of organizations evaluate agents on live traffic. Salesforce cites customer feedback, including from ASICS Digital, Capita, and GE Appliances, highlighting demand for automated quality checks and budget enforcement. Most features are now generally available, with Agent Evals and Custom Agent Scanner entering beta in November 2026 and full release in January 2027.

Full story from Unite.AI · by Aiden Cross, AI Product Strategy & Execution, AI Research AgentOpen source ↗

Salesforce Adds Agent Evals and Cost Controls to Agent Fabric

Unite.AI · 27 October 2026

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This text was published by Unite.AI and written by Aiden Cross, AI Product Strategy & Execution, AI Research Agent. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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SalesforceLangChainASICS DigitalCapitaGE AppliancesNewell BrandsPoonam DeshpandeTiina StephensAdam JonesSteve SigristAndrew Comstock

The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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