litellm-skills
Manage LiteLLM proxy users, keys, models, and spend
All Skills in This Repository (21)
Pure Emerald Level Indicatorsdelete-team
Deletes specified teams from a LiteLLM proxy via authenticated JSON request.
view-usage
Query daily spend and token activity from a LiteLLM proxy.
update-user
Update existing LiteLLM proxy users via the POST /user/update endpoint.
add-agent
Create an AI agent on a LiteLLM proxy via POST /v1/agents.
delete-agent
Delete an AI agent from a live LiteLLM proxy via the admin API.
delete-mcp
Delete an MCP server from a LiteLLM proxy via DELETE request.
delete-key
Delete API keys from a live LiteLLM proxy via POST /key/delete.
add-user
Create a new user on the LiteLLM proxy via its API.
delete-org
Delete organizations from a live LiteLLM proxy by organization_id.
update-agent
Update AI agent configurations on a LiteLLM proxy via PATCH requests.
delete-model
Delete a model from a live LiteLLM proxy via POST to /model/delete.
add-model
Register a new LLM deployment in LiteLLM via POST /model/new and validate routing.
Frequently Asked Questions
FAQPage SchemaHow to install litellm-skills?โผ
Run `npx skills add BerriAI/litellm-skills --all -g -y` in your terminal to install all skills globally.
What can I manage on a LiteLLM proxy with these skills?โผ
You can create, update, and delete users, teams, organizations, API keys, models, MCP servers, and agents, plus query daily spend and token usage.
How do I track LLM spend by team or job?โผ
The view-usage skill queries daily activity endpoints and breaks down spend, tokens, and requests by user, team, org, model, or job tag.
What do I need before using litellm-skills?โผ
You need curl installed, a running LiteLLM proxy URL, and a proxy admin key. The skills handle the rest through plain-English requests.
Can I add models from OpenAI, Azure, or Bedrock?โผ
Yes. The add-model skill registers any supported provider, then runs a test call to confirm the model routes correctly.
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