Ecosystem Setup
CI/CD for Agents
How to implement continuous integration and delivery for your autonomous agent workers.
CI/CD for Agents
Deploying an agent is easy. Keeping it reliable is hard. This guide covers the “Ops” in “AgentOps.”
The Agentic CI Pipeline
1. The Prompt Regression Test
Every time you update an agent’s system prompt, you must ensure it hasn’t “forgotten” how to handle previous edge cases.
- Tool: Use Ragas to run a suite of benchmark questions against the new prompt.
2. The Tool-Call Sandbox
Agents should never be tested against production data.
- Workflow: Use GitHub Actions to spin up an ephemeral Supabase instance with anonymized data for the agent to “practice” on.
3. Continuous Monitoring (Agent Evaluation)
Once deployed, the agent’s work must be continuously audited.
- Action: Pipe 5% of all agent tool calls to a human-in-the-loop (HITL) dashboard for manual review.
- Alerting: Use LangSmith to trigger alerts if an agent’s “Latency” or “Token Usage” spikes unexpectedly.
Automated Redeployment
If an agent’s performance score falls below a certain threshold, the pipeline should automatically rollback to the last known-stable prompt version.
Repository Stack