- Smarter & Cheaper: via Ensemble LLM topologies, similar to OpenRouter's Fusion API. On some tasks like deep-research, code review, and Legal you can get Fable-level performance for 1-6% the price by fusing the responses of multiple cheaper models
- Reliable: Durable DAG execution improves the success rates of long/complex workflows by an order of magnitude. With result parsing, automatic retries, retry policies.
- Auditable: Full audit trails of every request, response, attempt, prompt, etc.
- Optimizable: Built-in wiring for industry-standard and custom benchmarks, with autoresearch/GEPA/MIPROv2-style optimization techniques.
This is not a replacement for n8n or similar. Consortium focuses on Ensemble LLM topologies, changing the way your LLM does its reasoning and forms an answer to support multiple topologies that fit different use cases.
Some use cases may need LLM-as-Judge, some may need Adverserial debate, some may need simple fusion (informed capitan), and some may need self-consistency. With consortium, thats a 1 click change. Your application code remains unchanged.