Prism is an autonomous multi-agent system that thinks like a team.
Give it a question. It assembles the right agents. They debate. They disagree. They reach consensus. They deliver one answer.
SQL generation isn't a prompt engineering problem.
It's a reasoning problem.
Real-world queries demand:
- Understanding business context, not just table names
- Navigating complex schemas with 100+ tables
- Reasoning through temporal logic, aggregations, and edge cases
- Making decisions when the path forward isn't clear
Specialized agents with distinct expertise:
When agents disagree, they negotiate.
When the path is uncertain, they explore.
When mistakes happen, they learn.
The system decides. Not the engineer.
The agents reach consensus on a single solution—or they iterate until they do.
Most "agentic" systems are still just LLMs with function calls.
Prism is different:
- Agents have goals, not just instructions
- Conflicts are resolved through reasoning, not heuristics
- The system adapts, without retraining
We submitted Prism to SPIDER 2.0 (SNOW Track):
- Claude Sonnet 4.5 as the reasoning substrate
- Zero manual intervention – agents decide, humans observe
- Complete decision traces – every negotiation, every conflict, every resolution
Every query answered through agent consensus, not engineering hacks.
Evaluated against the Spider 2.0 benchmark: https://spider2-sql.github.io/
Prism treats query generation as a multi-player game where agents cooperate toward a shared objective, not a state machine where transitions are hardcoded.
Coming soon.
The code stays proprietary. The ideas don't.
- Claude Sonnet 4.5 (Anthropic)
- Temperature: 0.0 (deterministic)
- Context: 200K tokens
Most research optimizes individual agent capability.
We optimized multi-agent coordination.
It's not about building a better player. It's about building a better game—where cooperation yields better outcomes than competition, and consensus emerges through incentive alignment, not voting.
Anshul Chauhan · [email protected]
Soham Acharya · [email protected]
Paytm
Paper coming soon.
Agent Swarm for Automated SQL Generation
