# Harness AI Configs for Runtime Controls of AI Behavior

DevFeed: [Harness AI Configs for Runtime Controls of AI Behavior](<https://devfeed.tech/articles/harness-ai-configs-for-runtime-controls-of-ai-behavior-13364.md>)

Original publisher: [Read original article](<https://www.harness.io/blog/announcing-ai-config-management>)

Author: Nico Zelaya

Published: 2026-07-21T00:00:00Z

Content type: article

Language: en

Sources: [Harness Blog](<https://devfeed.tech/sources/harness-blog.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [configuration](<https://devfeed.tech/topics/configuration.md>), [feature flags](<https://devfeed.tech/topics/feature-flags.md>), [experiments](<https://devfeed.tech/topics/experiments.md>), [Model Routing](<https://devfeed.tech/topics/model-routing.md>), [Inference](<https://devfeed.tech/topics/inference.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [blog](<https://devfeed.tech/tags/blog.md>), [config](<https://devfeed.tech/tags/config.md>), [experimentation](<https://devfeed.tech/tags/experimentation.md>), [inference](<https://devfeed.tech/tags/inference.md>), [policy](<https://devfeed.tech/tags/policy.md>), [routing](<https://devfeed.tech/tags/routing.md>)

## AI overview

Harness AI Config Management provides a governed runtime configuration layer for changing prompts, models, routing, inference parameters, and other AI behavior without redeploying code. It supports targeting, experimentation, approvals, policy controls, versioning, and audit trails.

## Source excerpt

Harness AI Config Management helps teams change prompts, models, and AI behavior at runtime with targeting, experimentation, approvals, policy, and audit trails | Blog