goose-litellm-provider

goose-litellm-provider is a skill for Claude Code from rhtevan/agentfs. It costs 19 tokens per session (2,295 once invoked), scanned A, original, Apache-2.0.

A configuration guide for connecting Goose to a local LiteLLM proxy. LiteLLM is a local gateway that forwards model requests to services such as Vertex AI Claude.

In plain words
What is it for?
Use it to configure Goose CLI or Desktop with a local provider, including separate main and auxiliary model settings.
Why use it?
It gives Goose a defined local provider setup instead of requiring direct configuration for each upstream model service.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter.

Good fit Use it to configure Goose CLI or Desktop with a local provider, including separate main and auxiliary model settings.

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Install with agentmods
npx agentmods add skills/rhtevan/agentfs/goose-litellm-provider
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add rhtevan/agentfs --skill goose-litellm-provider
Clone the repo
git clone --depth 1 https://github.com/rhtevan/agentfs

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for goose-litellm-provider

README.md
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Your own site
<a href="https://agentmods.dev/skills/rhtevan/agentfs/goose-litellm-provider"><img src="https://agentmods.dev/badge/skills/rhtevan/agentfs/goose-litellm-provider/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

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Your own site · 80×15
<a href="https://agentmods.dev/skills/rhtevan/agentfs/goose-litellm-provider"><img src="https://agentmods.dev/badge/skills/rhtevan/agentfs/goose-litellm-provider.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 19 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,295 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00019 $0.02295
Opus 5 $0.00010 $0.01148
Sonnet 5 $0.00004 $0.00459
Haiku 4.5 $0.00002 $0.00230

Measured 9d ago against content hash 761d005994b5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

goose-litellm-provider scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/restore.sh, scripts/verify.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/goose-litellm-provider/SKILL.md · 274 lines

How it starts

The opening of the file, as written. The whole thing — 274 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Configure Goose with a Local LiteLLM Proxy Provider

Set up Goose (CLI and Desktop) to use a local LiteLLM proxy as a custom provider. This covers the RedHat provider pattern — a local LiteLLM proxy backed by Vertex AI Claude models (no auth, http://localhost:4000).

For remote MaaS (Model as a Service) setup, see the goose-maas-provider skill instead.

Prerequisites

  • Goose installed (goose CLI or Goose Desktop)
  • LiteLLM proxy running locally (see skill litellm-vertex-ai-proxy to set one up); must be accessible at http://localhost:4000 (default LiteLLM port)
  • Use skill litellm-proxy-status to verify the proxy is healthy before proceeding

Model Selection Architecture

Goose uses two separate model settings for this provider. They are independent — neither overwrites the other.

Setting Where Purpose
Default model config.yamlproviders.custom_redhat.model Main conversation model
Fast model custom_redhat.jsonfast_model Lightweight model for auxiliary calls (tool-selection, classification, session titles)

Reference Configuration

The custom provider is defined as a JSON file under ~/.config/goose/custom_providers/ with a matching entry in ~/.config/goose/config.yaml.

Custom Provider JSON

File: ~/.config/goose/custom_providers/custom_redhat.json

⚠️ Use this exact schema. Do NOT write from memory or improvise field names. Copy this template and substitute only the marked placeholders.

{
  "name": "custom_redhat",
  "engine": "openai",
  "display_name": "RedHat",
  "description": "Local LiteLLM proxy to Vertex AI (Claude models)",
  "api_key_env": "",
  "base_url": "http://localhost:4000",
  "models": [
    {
      "name": "claude-opus-4-6",
      "context_limit": 1000000,
      "input_token_cost": null,
      "output_token_cost": null,
      "currency": null,
      "supports_cache_control": null,
      "reasoning": false
    },
    {
      "name": "claude-sonnet-4-6",
      "context_limit": 1000000,
      "input_token_cost": null,
      "output_token_cost": null,
      "currency": null,
      "supports_cache_control": null,
      "reasoning": false
    },
    {
      "name": "claude-haiku-4-5",
      "context_limit": 200000,
      "input_token_cost": null,
      "output_token_cost": null,
      "currency": null,
      "supports_cache_control": null,
      "reasoning": false
    }
  ],
  "headers": null,
  "timeout_seconds": 600,
  "supports_streaming": true,
  "requires_auth": false,
  "catalog_provider_id": null,
  "base_path": null,
  "env_vars": null,
  "dynamic_models": null,
  "skip_canonical_filtering": false,
  "model_doc_link": null,
  "setup_steps": [],
  "fast_model": "claude-haiku-4-5",
  "preserves_thinking": true
}

Read the full file on GitHub · 274 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 274 lines · 19 tokens per session scan A 761d005994b5

Subscribe to this mod's changes

goose-litellm-provider is a skill published in the GitHub repository rhtevan/agentfs (2 stars, last pushed yesterday), licensed Apache-2.0. It adds 19 tokens to every session and 2,295 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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