Introducing Versioning for ElevenLabs Agents

Complete visibility into agent configuration changes and safe, staged rollouts of new versions.

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Today we are launching Versioning - the control layer for ElevenLabs Agents that gives teams a complete history of every agent configuration change and the ability to safely stage rollouts of new versions.

As conversational agents take on more operational and customer-facing responsibilities, configuration updates carry real business impact. Versioning ensures these updates are transparent, reviewable, and deployed with software-grade rigor.

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Visibility into every agent update

Versioning brings full visibility to how agents evolve. Each version captures the complete configuration - prompts, voices, workflows, tools, and LLM. Diffs and editor-level attribution show exactly what changed, who changed it, and when. This level of visibility makes it far easier to understand why an agent’s output shifts and whether that change was intentional, approved, or requires review.

Safely stage rollouts of new versions

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Businesses often need to validate new configurations before broad deployment. Versioning enables this with traffic control, allowing teams to route a defined share of traffic to test new versions while keeping a stable primary path.

Teams can A/B test how each version performs, compare outcomes, and measure impact - all before committing to a full migration. This mirrors best practices from modern software release engineering and brings the same rigor to conversational agents.

Audit-ready configuration history

Versioning also provides compliance, risk, and legal teams with a reproducible record of which configuration powered each conversation. This makes audits, investigations, and regulatory responses far simpler and fully evidence-based.

Rather than reconstructing system behavior retroactively, organizations can reference the exact configuration used at any point in time and understand how decisions were made.

Bring version control to your conversational agents

Versioning brings structured releases, controlled experimentation, and accountable configuration changes to ElevenLabs Agents. It offers the governance foundation required to operate AI systems reliably and transparently at enterprise scale.

Learn more about versioning in our docs.

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