llm-obscurify

LLM plugin for Obscurify.ai, a private AI service with an OpenAI-compatible API and 200+ models.

Obscurify.ai doesn't store prompts or responses, scrambles identities before requests reach model providers, and sends text requests only over zero-data-retention routes. Accounts are a random account number: no email, username or phone.

Installation

llm install llm-obscurify

Configuration

1. Create an account at obscurify.ai and add a balance. The API works on every plan with a positive balance. New accounts get $1 of starter credit (limits apply; see https://obscurify.ai/pricing).
2. Open https://obscurify.ai/account and click Show API Key. Keys look like sk-obs1_....
3. Give the key to LLM:

llm keys set obscurify
# Paste key here

Or set the OBSCURIFY_API_KEY environment variable.

Models show up in llm models once a key is set.

Usage

llm -m obscurify/deepseek/deepseek-v4-flash "Five names for a privacy-minded pet hedgehog"

Chat:

llm chat -m obscurify/meta-llama/llama-3.3-70b-instruct

Set a default:

llm models default obscurify/deepseek/deepseek-v4-flash

Reasoning

Every model accepts the reasoning_effort option (none, minimal, low, medium, high, xhigh, max; which levels a model honours depends on the model). Reasoning text is shown as it streams; hide it with -R.

llm -m obscurify/z-ai/glm-5.3-flash -o reasoning_effort low "Is 221 prime?"

Tools and schemas

Models that support tool calling work with --tool/--functions and --schema:

llm -m obscurify/deepseek/deepseek-v4-flash --functions '
def multiply(x: int, y: int) -> int:
    """Multiply two numbers."""
    return x * y
' "What is 34234 * 213345?" --td

llm -m obscurify/deepseek/deepseek-v4-flash --schema 'name, age int, bio' "Invent a dog"

Python

import llm

model = llm.get_model("obscurify/deepseek/deepseek-v4-flash")
print(model.prompt("Write a haiku about privacy.").text())

Models

List the models, with context length, tool support and price per million tokens:

llm obscurify models
llm obscurify models -q qwen          # filter
llm obscurify models --json

The list is cached for an hour. Refresh it with llm obscurify refresh. Frontier models need the Casual plan and uncensored models need Pro; per-model prices are at https://obscurify.ai/model_cards.

Development

git clone https://github.com/Obscurify-ai/llm-obscurify
cd llm-obscurify
uv run --group test pytest   # live tests, needs OBSCURIFY_API_KEY

Links

• API docs: https://obscurify.ai/api-docs
• Privacy policy: https://obscurify.ai/privacy
• Contact: https://obscurify.ai/contact

MIT licensed.