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Introduction ​

Converra automates AI agent improvement — the fix, test, deploy loop that eats engineering time. Your agents improve while your engineers build.

What is Converra? ​

Converra generates targeted fixes for your agents, simulation-tests them, and ships what works. Each cycle builds on the last — your agents get measurably better without engineering effort.

Converra helps you:

  • Fix agents automatically - Generate targeted prompt, config, and model variants addressing diagnosed issues
  • Diagnose failures - Identify why agents underperform, down to the specific step in multi-agent flows
  • Prove changes before production - Every fix survives 36+ simulated conversations and regression testing
  • Ship proven improvements - Deploy automatically via API, webhooks, or GitHub PR. Instant rollback if any metric regresses

How It Works ​

  1. Diagnose - Import conversations and traces to identify failure patterns
  2. Fix - Generate targeted variants addressing diagnosed issues
  3. Prove - Simulate against diverse personas and regression-test against known-good scenarios
  4. Deploy - Ship the proven winner back to production — automatically

Key Concepts ​

Agents ​

Your AI agents with their system prompts, objectives, constraints, and LLM settings.

Agent Systems ​

When you import multi-step traces (e.g., a router handing off to specialists), Converra auto-discovers agent systems: agents 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 improvement cycles that generate prompt variants and evaluate them through simulation.

Insights ​

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

SDK ​

Wrap your LLM clients (OpenAI, Anthropic) with one line to automatically capture conversations and enable A/B testing. Available for Node.js and Python.

Next Steps ​

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