ML Junction gives developers a consistent API for working with multiple AI model providers. It supports OpenAI and Anthropic SDK compatibility, capability-aware routing, retries and fallback, and request-level cost and privacy controls.
Its per-request receipts explain which route was selected, the alternatives considered, the policies enforced and the final cost. ML Junction also supports model evaluations, agent observability, and a native LangChain integration.
Every AI model has its own rules: which settings it takes, how you turn thinking up or off, how tool calls must look. Change the model and your code breaks. We built ML Junction so you write the request once. It translates the request for the model it lands on, fixes what would have crashed, leaves out what that model cannot take, and lists every change in the response. It also routes each request, falls back to another provider when one fails, and returns a receipt showing what ran and what it cost.