Building Self-Learning Pipelines and Multi-Turn Evals for Counselling Agents
Technical-Sort-8643 · reddit · 2026-07-28
A developer explores how to build a self-learning pipeline for multi-agent counselling systems. In architectures with multiple roles (safety, planner, judge), the main challenge is dynamically optimizing prompts based on ongoing user interactions.
The author raises two key engineering questions:
- Automated Optimization: Can an optimization agent automatically adjust system configurations based on conversation history?
- Multi-turn Evals: How can unstructured, prose-like outputs in long conversations be quantified into actionable evaluation metrics?
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