Safe Rollout Strategies

Goal

Minimize business risk during deployment by releasing agent changes incrementally and maintaining the ability to revert instantly to a known-good state.

Release Patterns

1. Canary Deployment

• Workflow: Start by routing 1% of user traffic to the new agent version.
• Focus: Monitor closely for prompt injections, unexpected tool usage, or high error rates.
• Action: Gradually scale up to 100% or roll back instantly if issues are detected.

2. Blue-Green Deployment

• Workflow: Maintain two identical production environments ("Blue" for current live, "Green" for new).
• Action: Switch traffic instantly to "Green" once validated. If production-only bugs emerge, switch back to "Blue" for zero-downtime recovery.

3. A/B Testing

• Workflow: Run two agent versions simultaneously for different user segments.
• Focus: Compare versions based on real-world business metrics—like goal completion or conversion—to make data-driven release decisions.

4. Feature Flags

• Workflow: Deploy the code to production but keep it hidden behind a toggle.
• Action: Enable the new capability dynamically for specific users or teams to test in the "wild" before a general release.

The Production "Undo" Button

Rigorous versioning is the foundation of safe rollouts. You must version every component:

• Code and Prompts: Core logic and instruction sets.
• Model Endpoints: Specific foundation model versions.
• Tool Schemas: API definitions and parameter requirements.
• Memory Structures: How the agent stores state.

GitOps Workflow

Treat your repository as the single source of truth for your deployment history:

• Deploy: Every deployment should be triggered by a git commit.
• Rollback: Every rollback should be a simple git revert.