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.
npx skills add rhtevan/agentfs --skill litellm-vertex-ai-proxygit clone --depth 1 https://github.com/rhtevan/agentfsWrote 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.
[](https://agentmods.dev/skills/rhtevan/agentfs/litellm-vertex-ai-proxy)<a href="https://agentmods.dev/skills/rhtevan/agentfs/litellm-vertex-ai-proxy"><img src="https://agentmods.dev/badge/skills/rhtevan/agentfs/litellm-vertex-ai-proxy/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.
<a href="https://agentmods.dev/skills/rhtevan/agentfs/litellm-vertex-ai-proxy"><img src="https://agentmods.dev/badge/skills/rhtevan/agentfs/litellm-vertex-ai-proxy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00024 | $0.02282 |
| Opus 5 | $0.00012 | $0.01141 |
| Sonnet 5 | $0.00005 | $0.00456 |
| Haiku 4.5 | $0.00002 | $0.00228 |
Grade A, and why
litellm-vertex-ai-proxy 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 8d ago.
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.
How it starts
The opening of the file, as written. The whole thing — 198 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LiteLLM Proxy for GCP Vertex AI
Set up a local LiteLLM proxy that fronts GCP Vertex AI as an OpenAI-compatible endpoint, managed by systemd, with proper service account credentials.
Overview
This skill deploys LiteLLM locally as a proxy that:
- Exposes
http://127.0.0.1:4000/v1(OpenAI-compatible) - Routes requests to GCP Vertex AI (Anthropic Claude models)
- Uses a GCP service account key (no expiring refresh tokens)
- Auto-starts at boot via a systemd user service
Any AI agent or application that supports OpenAI-compatible endpoints
can use this proxy. See agent-specific skills (goose-litellm-provider,
hermes-litellm-provider) for integration guidance.
Prerequisites
- Linux with systemd (Fedora, RHEL, Ubuntu, etc.)
uvpackage manager (which uvor install from https://docs.astral.sh/uv/)gcloudCLI authenticated (gcloud auth login)- A GCP project with Vertex AI API enabled
- A GCP service account key (JSON) with
roles/aiplatform.userpermission python3withgoogle-authpackage
Known Available Models (as of 2026-08-10)
| Model | Region | Context Window |
|---|---|---|
claude-opus-4-6 |
us-east5 |
1M tokens |
claude-sonnet-4-6 |
us-east5 |
1M tokens |
claude-haiku-4-5 |
us-east5 |
200k tokens |
Workflow
Step 1 — Detect GCP Configuration
bash ~/.agents/skills/litellm-vertex-ai-proxy/scripts/detect-sa.sh
Identifies GCP project, active account, and all service account key files. Prints metadata (type, email, truncated key ID) — never exposes private keys.
Step 2 — Test Service Account Permissions
bash ~/.agents/skills/litellm-vertex-ai-proxy/scripts/test-sa.sh \
--sa-key <path_to_key.json> \
--project <project_id> \
--region us-east5
Sends a minimal Vertex AI request using the SA key. If 403, the
account needs roles/aiplatform.user — contact GCP admin.
Step 3 — Discover Available Models
bash ~/.agents/skills/litellm-vertex-ai-proxy/scripts/probe-models.sh \
--project <project_id> --region us-east5
What ships with it
6 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.
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.
- 8d ago First seen · 198 lines · 24 tokens per session scan A 909192c7f683
litellm-vertex-ai-proxy is a skill published in the GitHub repository rhtevan/agentfs (2 stars, last pushed 4d ago), licensed Apache-2.0. It adds 24 tokens to every session and 2,282 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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