BerriAI

Query spend and token activity on a live LiteLLM proxy. Shows daily usage broken down by user, team, org, tag, job, or model. Use when the user wants to see costs, token counts, request volume, or job-level attribution for a given date range.

Generate a new API key on a live LiteLLM proxy. Asks for alias, scope (user/team), budget, models, and expiry, then calls POST /key/generate. Use when the user wants to create, generate, or provision an API key on a LiteLLM proxy instance.

Add a new model to a live LiteLLM proxy. Walks the user through picking a provider, entering the deployment name and credentials, calls POST /model/new, then test-calls the model to confirm it routes correctly. Use when the user wants to add, register,…

Create a new team on a live LiteLLM proxy. Asks for team name, budget, and allowed models, then calls POST /team/new and shows the result. Use when the user wants to create a new team, set up team budgets, or configure model access for a team on the proxy.

Delete a model from a live LiteLLM proxy. Asks for the model name or model_id and confirms before calling POST /model/delete. Use when the user wants to remove, delete, or unregister a model from a LiteLLM proxy instance.

Delete an AI agent from a live LiteLLM proxy. Ask for the agent_id and confirm before calling DELETE /v1/agents/{agent_id}.

Delete one or more API keys from a live LiteLLM proxy. Ask for the key(s) and confirm before calling POST /key/delete.

Delete an MCP server from a live LiteLLM proxy. Ask for the server_id and confirm before calling DELETE /v1/mcp/server/{server_id}.

Knowledge and utilities for creating animated GIFs optimized for Slack. Provides constraints, validation tools, and animation concepts. Use when users request animated GIFs for Slack like "make me a GIF of X doing Y for Slack."

A minimal test skill for API testing

A test skill created specifically for deletion testing

A test skill created by LiteLLM automated tests

Triage a GitHub pull request for BerriAI/litellm and decide whether it is ready for human review. Classifies each failing check as PR-related vs infra/pre-existing, factors in Greptile score and CircleCI presence, and emits a thumbs-up/thumbs-down verdict…

Iteratively fix a BerriAI/litellm PR until the litellm-bot reviewer returns a 5/5 READY verdict. Posts the PR to the bot (via Slack @-mention or its /chat/api endpoint), parses the merge-confidence card, fixes every blocker the card and drilldown call out,…

Karpathy-style senior-engineer pre-merge review for a litellm PR as if it ships to an AI gateway at 10k+ RPS on a large codebase with many flows. Answers whether the change is safe to merge, what unintended consequences could appear under load, and whether…

Review a BerriAI/litellm PR for conformance with the repo's documented and de-facto code patterns. Pulls patterns from docs/my-website/docs/ first, then from sibling files in the diff's directories. On conflict, docs win and contradicting code is flagged as…

Standard procedures for a coding agent — memory hygiene and PR workflow.

Audits all Markdown files in a repository for internal inconsistencies, contradictions, stale CLI commands/flags, and broken cross-references. Returns a structured findings report. Use when asked to check, audit, or verify docs for correctness or consistency.

Scans a GitHub pull request for security vulnerabilities including OWASP Top 10 issues, hardcoded secrets, and dependency CVEs. Returns a structured JSON findings report. Use when asked to review, audit, or scan a PR for security issues.