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Consortium
LLM apps Smarter & Cheaper, Reliable, Auditable in 1 min
Cosortium acts as a proxy for LLM calls. With 1 LOC change (API URL), make any LLM powered app - Smarter & Cheaper: via Ensemble topologies, like OpenRouter's Fusion. On some tasks you can get Fable performance for 1-6% the cost by fusing responses of mutli cheaper llms - Reliable: Durable DAG execution improves success rates of LLMs by an order of magnitude. Via result parsing, automatic retries - Optimizable: Built-in wiring for benchmarks, with autoresearch/GEPA/MIPROv2-style optimization
Cosortium acts as a proxy for LLM calls. With 1 line of code change (API URL), Consortium lets you make any LLM powered app
- 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.
Consortium was submitted on Product Hunt and earned 0 upvotes and 2 comments, placing #132 on the daily leaderboard. Cosortium acts as a proxy for LLM calls. With 1 LOC change (API URL), make any LLM powered app - Smarter & Cheaper: via Ensemble topologies, like OpenRouter's Fusion. On some tasks you can get Fable performance for 1-6% the cost by fusing responses of mutli cheaper llms - Reliable: Durable DAG execution improves success rates of LLMs by an order of magnitude. Via result parsing, automatic retries - Optimizable: Built-in wiring for benchmarks, with autoresearch/GEPA/MIPROv2-style optimization
On the analytics side, Consortium competes within Artificial Intelligence, GitHub and Development — topics that collectively have 521k followers on Product Hunt. The dashboard above tracks how Consortium performed against the three products that launched closest to it on the same day.
Who hunted Consortium?
Consortium was hunted by Alhasan Al-Nasiry. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Consortium including community comment highlights and product details, visit the product overview.
Alhasan Al-Nasiry