Introduction

Converra is the performance layer for production AI agents. It continuously optimizes quality, speed, and cost through simulation testing—without touching your live stack.

What is Converra?

Your stack might have observability. It's missing a performance layer. Converra closes the loop: it reads from your logs, generates and tests prompt improvements, and ships winners—with evidence.

Converra helps you:

• Optimize agents and prompts - Automatically test and improve your agent behavior through simulated conversations
• Track performance - Monitor conversation quality and identify issues in production
• Gain insights - Understand why prompts succeed or fail with detailed analytics
• Iterate faster - Make data-driven improvements without manual A/B testing

How It Works

1. Create a Prompt - Define your system prompt with objectives and constraints
2. Log Conversations - Send production conversations for analysis
3. Run Optimization - Let Converra generate and test variants
4. Apply Winners - Deploy improved behavior with confidence

Key Concepts

Prompts

Your AI system prompts with metadata like objectives, constraints, and LLM settings.

Agent Systems

When you import multi-step traces (e.g., a router handing off to specialists), Converra can auto-discover agent systems: prompts that operate together in a flow. Converra simulates these systems with a bounded flow model so runs terminate and results stay comparable.

Conversations

Real user-AI dialogues logged for performance analysis and insight generation.

Optimizations

Automated testing cycles that generate prompt variants and evaluate them through simulation.

Insights

Aggregated learnings from conversations identifying patterns, issues, and opportunities.

Next Steps

• Quick Start - Get up and running in 5 minutes
• Core Concepts - Understand the platform in depth
• API Reference - Integrate via REST API
• MCP Setup - Use with Claude Code