AI Gateway
Access models and published workflows through one gateway, with conversion between three supported AI API protocols.
- ✓OpenAI Chat Completions
- ✓OpenAI Responses
- ✓Anthropic Messages
Distribute AI capabilities, retain complete conversations, and build with workflows, APIs, business data, and React. Self-host the foundation on infrastructure you control.
Access models and published workflows through one gateway, with conversion between three supported AI API protocols.
Combine models, tools, APIs, and business logic, then publish the workflow as a virtual model. A worker model can also become a tool for your primary model.
Store the complete AI conversations that pass through your gateway in PostgreSQL. Use that history to analyze usage and improve prompts, routing, and model composition.
Runtime operations are built on APIs. Create business tables in PostgreSQL and manage application data alongside the AI conversations that inform it.
Expose APIs and MCP tools to Agents through progressive discovery. Find available tools, load the definition you need, then call the tool for the task.
Build application interfaces with React code blocks. Use the React ecosystem to connect your UI with the APIs, workflows, and data behind it.
The workflow editor, API publishing, execution logs, and token dashboard provide a view into your AI runtime.




Open source under Apache 2.0. Application templates and improved Agent building without source-code context are in progress. For complex applications today, keep your coding Agent in the 1flowbase project context.
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