Disrekt Symphony is a Universal LLM interface that handles model curation for you, while you orchestrate your AI symphony through a single, seamless experience.
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Maker
📌
Hey PH! I’m Rithesh, founder of Disrekt Inc.
Disrekt Symphony started as an internal tool we built while working on our main product, Gnoxis – the AI Executive. We needed a simple way to plug in and manage different LLMs, swap providers, and route traffic. So we built Symphony for ourselves first.
Symphony is now the layer we wish we had from day one:
you pick the models, we handle the curation, keys, and routing.
Instead of juggling multiple dashboards and SDKs, you get one place to plug in models and orchestrate your own AI “symphony”.
We’re still early, and we’re learning from every team that tries it. If you’re building with AI and tired of wrestling with model sprawl, we’d love for you to give it a spin and tell us what feels rough, what feels magical, and what’s still missing.
To say thanks to early users, we’ve set up a limited-time, limited-seats offer of up to 20% off LLM usage credits here:
👉 https://symphony.disrekt.com/pri...
I’ll be here all day to chat, answer questions, or nerd out about your AI stack.
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@ritheshofficial What major LLM providers are currently supported by Symphony?
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Maker
@masump Currently we support OpenAI, Llama, DeepSeek, and Grok model families, we'll be adding Claude, Mistral, Gemini and more very soon. You can see the complete catalog at here.
Awesome. Does it also handle the output of each LLM and serve a unified output schema?
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Maker
@chilarai Yes. All providers are normalized to the OpenAI chat/completions schema (messages, usage tokens, finish_reason, etc.), so you get a consistent payload regardless of backend. We also normalize errors and usage metering, and you can stream or get JSON responses the same way across models.
@ritheshofficial What major LLM providers are currently supported by Symphony?
@masump Currently we support OpenAI, Llama, DeepSeek, and Grok model families, we'll be adding Claude, Mistral, Gemini and more very soon. You can see the complete catalog at here.
Swytchcode
Awesome. Does it also handle the output of each LLM and serve a unified output schema?
@chilarai Yes. All providers are normalized to the OpenAI chat/completions schema (messages, usage tokens, finish_reason, etc.), so you get a consistent payload regardless of backend. We also normalize errors and usage metering, and you can stream or get JSON responses the same way across models.
Swytchcode
@ritheshofficial nice.