LiteLLM tutorial Agent Skills, including hands-on guidance for the SDK basics, Proxy Gateway, Routing, Cost Governance, Observability, Guardrails, and MCP.
Skill Claude CodeCodex
A set of instructions for controlling LiteLLM usage and spending. It covers virtual keys, which can identify users or applications, along with budgets, limits, and request labels.
Skill Claude CodeCodex
A set of instructions for configuring or reviewing LiteLLM safety controls. LiteLLM is a tool for sending requests to language models through code or a shared gateway.
Skill Claude CodeCodex
A set of instructions for using LiteLLM as a gateway for MCP tools and agent skills. MCP tools are actions an agent can call from external servers.
Skill Claude CodeCodex
A set of instructions for monitoring and diagnosing LiteLLM requests. It covers logs, callbacks, OpenTelemetry, and records of usage and spending.
Skill Claude CodeCodex
A set of instructions for setting up LiteLLM Proxy as a shared model gateway. The gateway gives applications an OpenAI-compatible way to reach models through one central entry point.
Skill Claude CodeCodex
A set of instructions for making LiteLLM model routing more reliable. Routing decides which model deployment or provider receives a request.
Skill Claude CodeCodex
A set of instructions for using the LiteLLM Python SDK directly in application code. LiteLLM provides one Python interface for calling language models and related features.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: