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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.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
| name | add-key |
| description | 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. |
| license | MIT |
| compatibility | Requires curl. |
| metadata | {"author":"BerriAI","version":"1.0"} |
| allowed-tools | Bash(curl:*) |
Generate a new API key on a live LiteLLM proxy.
Ask for these if not already known:
LITELLM_BASE_URL — e.g. https://my-proxy.example.com
LITELLM_API_KEY — proxy admin key
API reference: https://litellm.vercel.app/docs/proxy/virtual_keys
my-app-prod)team_id or user_id? (optional)gpt-4o, claude-3-5-sonnet)5.00)7d, 30d, 90d) — omit for no expiryBASE="$LITELLM_BASE_URL"
KEY="$LITELLM_API_KEY"
curl -s -X POST "$BASE/key/generate" \
-H "Authorization: Bearer $KEY" \
-H "Content-Type: application/json" \
-d '{
"key_alias": "<alias>",
"team_id": "<team_id_or_omit>",
"user_id": "<user_id_or_omit>",
"models": [<models_or_empty>],
"max_budget": <budget_or_null>,
"duration": "<duration_or_omit>"
}'
Confirm the key was created:
curl -s "$BASE/key/info" \
-H "Authorization: Bearer <new_key>" | python3 -c "
import sys, json
d = json.load(sys.stdin)
info = d.get('info', {})
print(f'Alias: {info.get(\"key_alias\")}')
print(f'Expires: {info.get(\"expires\")}')
print(f'Budget: {info.get(\"max_budget\")}')
print(f'Models: {info.get(\"models\")}')
"
Show the user:
key — the actual key value (only shown once, tell them to save it)key_alias, expires, max_budget, modelsOn error:
LITELLM_API_KEY is a valid admin keyteam_id/user_id existsdetail and the likely fixQuery 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.
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, deploy, or configure a new model on a LiteLLM proxy instance.
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.