Agno user struggles with deep agent grounding

The "hallucination leak" in Agno agents isn't a framework bug, but a fundamental RAG architecture hurdle where models prioritize their weights over provided context for familiar-sounding topics like legal clauses. A multi-agent "Society of Agents" approach could solve this by delegating legal lookup to a specialized researcher agent rather than relying on a single generalist. The user's "deep reference" problem (contract mentions law -> model hallucinates law) requires recursive RAG or tool-calling that forces a new search for every citation found in the primary text. Agno's built-in reasoning=True and grounding=True flags for models like Gemini 2.0 are designed for this, but might require lower temperature settings and stricter "negative constraints" in the system prompt. This highlights why legal tech startups often build custom "pre-retrieval" and "post-generation" validation layers rather than relying on raw prompt engineering.