omni-inference

omni-inference is a skill for Claude Code, Codex from alrcatraz/astra-aigate. It costs 47 tokens per session (4,645 once invoked), scanned A, original, MIT.

A set of OpenAI-compatible web endpoints for generating text, embeddings, images, audio, safety checks, ranked results, and Responses API output.

In plain words
What is it for?
Use it when an agent or application needs chat completions, vector embeddings, image generation, text-to-speech, speech-to-text, moderation, reranking, or Responses API calls.
Why use it?
It gives AI agents one integration surface for several common model operations, using authenticated HTTP or WebSocket requests.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it when an agent or application needs chat completions, vector embeddings, image generation, text-to-speech, speech-to-text, moderation, reranking, or Responses API calls.

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Install with agentmods
npx agentmods add skills/alrcatraz/astra-aigate/omni-inference
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 alrcatraz/astra-aigate --skill omni-inference
Clone the repo
git clone --depth 1 https://github.com/alrcatraz/astra-aigate

Made for: Claude Code, Codex.

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 omni-inference

README.md
[![agentmods](https://agentmods.dev/badge/skills/alrcatraz/astra-aigate/omni-inference/github.svg)](https://agentmods.dev/skills/alrcatraz/astra-aigate/omni-inference)
Your own site
<a href="https://agentmods.dev/skills/alrcatraz/astra-aigate/omni-inference"><img src="https://agentmods.dev/badge/skills/alrcatraz/astra-aigate/omni-inference/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.

agentmods 80×15 button for omni-inference

Your own site · 80×15
<a href="https://agentmods.dev/skills/alrcatraz/astra-aigate/omni-inference"><img src="https://agentmods.dev/badge/skills/alrcatraz/astra-aigate/omni-inference.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,645 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 $0.00047 $0.04645
Opus 5 $0.00023 $0.02322
Sonnet 5 $0.00009 $0.00929
Haiku 4.5 $0.00005 $0.00464

Measured 10d ago against content hash e2d73cb207ce, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

omni-inference scanned grade A with 1 finding 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 10d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -X POST https://localhost:20128/api/v1/chat/completions \
skills/omni-inference/SKILL.md · 590 lines

How it starts

The opening of the file, as written. The whole thing — 590 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Overview

The core OpenAI-compatible inference endpoints: chat completions, embeddings, images, audio (TTS/STT), moderations, rerank, and the Responses API. The primary integration surface for AI agents.

Authentication

All requests require a valid Bearer token or session cookie. Obtain a token via POST /api/auth/login or configure REQUIRE_API_KEY=false for local development.

Endpoints

POST /api/v1/chat/completions

Create chat completion

OpenAI-compatible chat completions endpoint. Routes to configured providers.

curl -X POST https://localhost:20128/api/v1/chat/completions \
  -H "Authorization: Bearer $OMNIROUTE_TOKEN"
  -H "Content-Type: application/json" \
  -d '{}'

GET /api/v1/ws

Chat completion over WebSocket (handshake + upgrade)

OpenAI-compatible chat over a WebSocket connection. GET with ?handshake=1 returns the connection descriptor (auth path, message protocol and live-event channels) as JSON; a plain GET without an Upgrade returns 426 Upgrade Required. After upgrading, the client exchanges JSON frames — {type:"request", id, payload:{model, messages}} to start a completion and {type:"cancel", id} to abort it. A separate live channel (default port LIVE_WS_PORT=20129, path /live) streams dashboard events on the requests, combo and credentials topics with a 15s heartbeat. Requires an API key.

curl https://localhost:20128/api/v1/ws \
  -H "Authorization: Bearer $OMNIROUTE_TOKEN"

POST /api/v1/providers/{provider}/chat/completions

Create chat completion (provider-specific)

Routes to a specific provider by name.

curl -X POST https://localhost:20128/api/v1/providers/{provider}/chat/completions \
  -H "Authorization: Bearer $OMNIROUTE_TOKEN"
  -H "Content-Type: application/json" \
  -d '{}'

POST /api/v1/api/chat

Ollama-compatible chat endpoint

Provides compatibility with Ollama's /api/chat format.

Read the full file on GitHub · 590 lines

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. 10d ago First seen · 590 lines · 47 tokens per session scan A e2d73cb207ce

Subscribe to this mod's changes

omni-inference is a skill published in the GitHub repository alrcatraz/astra-aigate (1 stars, last pushed 2d ago), licensed MIT. It adds 47 tokens to every session and 4,645 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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