MCP App StoreMCP App Store
from litellm-skills35
Guides adding and testing a new model on a LiteLLM proxy: pick provider, supply credentials, POST to /model/new and verify routing with a test call.
Walks an operator through registering a new model with a live LiteLLM proxy. The skill describes required inputs (proxy base URL and admin API key), maps provider options to litellm_params values (OpenAI, Azure, Anthropic, Bedrock, Vertex, Ollama, etc.), and provides example curl commands to create the model and verify it with a test chat request.
Use when you need to add or register a new backend model to a LiteLLM proxy instance, especially during deployment or operator tooling workflows. It's intended for admins who manage model routing and want a safe test step to confirm requests route correctly.
/model/new and test with /chat/completions.model_id and test result.Operator-facing automation agents and CLI-capable helpers that can perform authenticated HTTP requests (agents with curl/http tools).
This skill guides adding a new model to a live LiteLLM proxy instance. It walks through picking a provider, entering credentials, POSTing to /model/new, and verifying with a test call. No bundled scripts — all instructions are curl commands the agent runs directly. The SKILL.md is well-structured with a clear provider table and step-by-step flow. Security is reasonable: credentials are prompted from the user rather than hardcoded, but the skill doesn't warn about credential exposure in shell history or suggest masking API keys in output.
Clean, straightforward skill from BerriAI's official repo. Well-written provider table is genuinely useful. Minor security concern: no guidance on credential hygiene (shell history, log masking). Architecture is solid but lean — no scripts/ or references/ directories, just a single SKILL.md with inline commands.
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