BerriAI/litellm vs Kong/kong
Compare BerriAI/litellm and Kong/kong using the current verified snapshot: positioning, license, deployment, use cases, limitations, and original sources.
BerriAI/litellm
LiteLLM is an open-source AI gateway and Python SDK that provides a single OpenAI-format interface to over 100 LLM providers. It centralizes routing, cost tracking, virtual keys, and guardrails, making it useful for enterprise teams and developers managing multiple external or self-hosted models.
- License
- License pending
- Deployment
- Python environment
- Use cases
- Enterprise teams, developers, and AI engineers who need to standardize API calls, manage costs, and apply consistent routing rules across multiple external LLM providers. · Teams requiring an admin dashboard and virtual keys to manage multi-tenant LLM usage.
- Updated
- 2026-07-17T06:30:35Z
Kong/kong
Kong is a cloud-native gateway that proxies and governs conventional API traffic, microservices, and agentic LLM and MCP traffic. It provides a platform-agnostic proxy layer with plugin extensibility, declarative deployment modes, and traffic governance for AI and MCP integrations.
- License
- Apache-2.0
- Deployment
- Refer to project documentation
- Use cases
- Developers and operations teams who need a platform-agnostic proxy layer to centralize functionality and governance across microservices, conventional APIs, and agentic LLM and MCP traffic. · Teams seeking deployment flexibility for their API infrastructure using declarative databaseless or hybrid control-plane and data-plane models.
- Updated
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