Robotics Physical AI with OpenSmartRoute
OpenSmartRoute provides an open-source decision layer that optimizes model selection for robotics physical AI applications, reducing inference latency and operational costs while ensuring reliable fallbacks for industrial automation tasks.
Model Compatibility for Physical Robotics
The platform supports a wide range of model providers through verified presets, ensuring that robotics teams can deploy solutions without managing complex authentication or connection logic. The compatibility matrix confirms that OpenAI, Azure OpenAI, Amazon Bedrock, Google Gemini, and Vertex AI are all verified for use with the hosted platform and osr serve image. These providers support OpenAI-compatible endpoints, which simplifies integration for existing robotics stacks that rely on standard chat or embeddings APIs.
For instance, the openai preset is verified with CI and live as of 2026-09-10, featuring token calibration against billed gpt-4.1 usage. Similarly, the azure preset supports multi-cloud benchmarks with 150 prompts, while bedrock and vertex are also live for multi-cloud benchmarking. This verified status ensures that robotics engineers can rely on the router to handle authentication and endpoint routing without custom code.
| Preset | Vendor API | Wire format | Verified |
|---|---|---|---|
openai | OpenAI | OpenAI chat / embeddings / responses | CI; live 2026-09-10 |
azure | Azure OpenAI / Azure AI Foundry | OpenAI v1 with api-key header | CI; live 2026-09-10 |
azure-identity | Azure OpenAI / Azure AI Foundry, keyless | OpenAI v1 with managed-identity bearer token | CI |
huggingface | Hugging Face Inference Providers | OpenAI-compatible router | protocol |
bedrock | Amazon Bedrock |


