Miller AI

Inspiration

When building AI applications, developers often face vendor lock-in, rate limits, and high inference costs. Different tasks require different models—some need complex reasoning, while others prioritize speed and low latency. We were inspired to build Miller AI to give developers complete flexibility: seamlessly switching between different foundation model providers without refactoring code or managing fragmented API keys, all while taking advantage of generous usage allowances.

What it does

Miller AI is an intelligent orchestration workspace that connects to multiple AI model providers in one unified interface.

• Provider Switching: Instantly switch between different models and providers based on performance, cost, and availability.
• Unified Interface: Standardized input/output formatting across all integrated APIs.
• Quota & Cost Management: Efficiently leverages usage limits and allowances across providers to maximize uptime and prevent development bottlenecks.

How we built it

• Integrated multiple LLM APIs into a unified backend proxy and orchestration layer.
• Designed an intuitive dashboard for switching models on the fly and monitoring prompt latency.
• Implemented automated fallback routing to guarantee high availability when one provider experiences rate limits.

Challenges we faced

• Standardizing disparate API parameter schemas, error codes, and token counting across different model providers.
• Managing latency overhead during dynamic model routing and streaming responses.

Accomplishments that we're proud of

• Achieving zero-friction model switching in under a second.
• Maintaining high reliability by orchestrating fallback models seamlessly.

What we learned

• How significantly token handling, reasoning speed, and latency differ across various model architectures.
• The importance of generous usage limits and multi-provider redundancy during rapid prototyping.

What's next for Miller AI

• Adding automated intelligent routing based on prompt complexity and cost optimization.
• Expanding support for multi-modal and fine-tuned open-source models.

Built With

• anthropic-api
• fastapi
• gemini-api
• kiro
• openai-api
• python
• react
• rest-api
• typescript