APIGOTO gives developers one entry point for managing LLM API credentials, model configuration, usage, quotas, and request records. It helps keep provider-specific configuration out of application logic, so prototypes, agents, knowledge bases, support tools, and automations can use a more consistent integration layer. Models, pricing, and availability are shown by the current website and account dashboard.
A unified LLM API gateway for AI application builders
APIGOTO gives developers one entry point for managing LLM API credentials, model configuration, usage, quotas, and request records. It helps keep provider-specific configuration out of application logic, so prototypes, agents, knowledge bases, support tools, and automations can use a more consistent integration layer. Models, pricing, and availability are shown by the current website and account dashboard.
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Maker
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I started using APIGOTO after repeatedly running into the same maintenance problem while building AI prototypes: API keys, base URLs, model IDs, usage dashboards, and request records were scattered across different places.
The goal is simple: keep model access and configuration in one layer, then let application code depend on a consistent interface. I validate it with one small request before adding frameworks or business logic.
I would especially like feedback from developers building agents, knowledge bases, customer-support tools, and automation workflows. Features, models, pricing, and availability should always be checked against the current APIGOTO website and dashboard.