LazySusan
A managed AI model aggregation service that provides unified access to multiple mainstream large language models through a single API key and a prepaid credit system. It offers a zero-dependency Python SDK, supports chat, image, and video models, and includes enterprise-grade usage governance capabilities.
Timeline (last 90 days)
LazySusan is a hosted API aggregation service that unifies chat, image, and video models under a single interface with one API key and one prepaid balance.
LazySusan uses a prepaid credit system and provides granular enterprise-level control at the key governance layer.
LazySusan and OpenRouter are both hosted aggregation services, with the difference being that LazySusan uses a prepaid credit system and more granular key governance.
LazySusan's Python SDK features zero dependencies, full type annotations, and support for Python 3.9 and above.
LazySusan's model names use the naming format 'provider/model', such as anthropic/claude-sonnet-5-5.
LazySusan can be installed via pip install lazysusan
LazySusan supports features including streaming output, tool calling, JSON output, image input, and asynchronous video generation
LazySusan returns token usage and credit cost (via reply.usage.cost_credits) with every response
LazySusan provides key governance capabilities including per-key monthly budget settings, model whitelists, expiration dates, and metadata tags
LazySusan's author discloses in the original article that this is a product they built themselves
1 more timeline events
All Facts (11)
LazySusan is a hosted API aggregation service that unifies chat, image, and video models under a single interface with one API key and one prepaid balance.
50%UnverifiedLazySusan uses a prepaid credit system and provides granular enterprise-level control at the key governance layer.
50%UnverifiedLazySusan and OpenRouter are both hosted aggregation services, with the difference being that LazySusan uses a prepaid credit system and more granular key governance.
50%UnverifiedLazySusan's Python SDK features zero dependencies, full type annotations, and support for Python 3.9 and above.
50%UnverifiedLazySusan's model names use the naming format 'provider/model', such as anthropic/claude-sonnet-5-5.
50%UnverifiedLazySusan can be installed via pip install lazysusan
50%UnverifiedLazySusan supports features including streaming output, tool calling, JSON output, image input, and asynchronous video generation
50%UnverifiedLazySusan returns token usage and credit cost (via reply.usage.cost_credits) with every response
50%UnverifiedLazySusan provides key governance capabilities including per-key monthly budget settings, model whitelists, expiration dates, and metadata tags
50%UnverifiedLazySusan's author discloses in the original article that this is a product they built themselves
50%UnverifiedAggregation layers typically make trade-offs between convenience and control, potentially introducing additional network hops or lag in supporting new models
50%