perplexity-cli
🧠 A simple command-line client for the Perplexity API. Ask questions and receive answers directly from the terminal! 🚀🚀🚀
AI inference, packed simply. A blazing-fast, zero-dependency WebGPU runtime to run GGUF models directly in the browser.…
Serious AI infrastructure. Packaged simply.
Warning
Sipp is under active development. Breaking changes are expected as we optimize the runtime layers. It might not be suitable for mission-critical production environments yet. If you find issues, bugs, or missing features, please open a GitHub issue.
Sipp is an all-in-one, high-performance AI framework for building web, desktop, and edge applications. It ships as a cohesive SDK with a unified, symmetric API for local, provider, and cloud gateway inference.
At its core is Sipp Engine, a blazing-fast runtime built to run anywhere: in the browser, on the desktop, or on bare-metal cloud infrastructure, that delivers low startup times and a minimal memory footprint.
import { EndpointDescriptor, SippClient } from '@sipphq/sipp';
const blender = new SippClient();
// 1. Register a model and load it into a local WebGPU endpoint.
const edgeModel = await blender.models.add(['/models/llama3.gguf']);
const juice = await blender.add(
'edge',
EndpointDescriptor.local(edgeModel.id, { backend: 'webgpu' })
);
// 2. Or connect to a secure cloud gateway through the same client.
const ice = await blender.add(
'cloud',
EndpointDescriptor.gateway({
target: 'production',
baseUrl: 'https://gateway.example.com',
authentication: { kind: 'bearer', value: '<short-lived-token>' },
})
);
// Route the same operation to either endpoint.
const [smoothie, snowcone] = await Promise.all([
blender.chat([{ role: 'user', content: 'Explain Sipp.' }], { endpoint: juice }).response,
blender.chat([{ role: 'user', content: 'Create a Sipp app.' }], { endpoint: ice }).response,
]);
console.log(smoothie.text, snowcone.text);
await blender.close();
The unified SDK lets you dynamically partition and optimize complex application logic between local and cloud compute. Instead of wrestling with fragmented web runtimes, disconnected native wrappers for desktop, or custom middleware to protect API keys, you only need Sipp.
It packages a high-performance WebGPU engine, with a secure container gateway proxy into a single, neat toolkit. Future releases will focus on embedded vector memory, on-device PII masking, and automated smart routing. See Roadmap.
From a source checkout, use the repo launcher installed by the setup scripts, or call the underlying xtask directly:
sipp build wasm # Compile high-performance WebGPU assets sipp run demos serve chat # Launch a hardware-accelerated demo # Equivalent commands without the repo launcher: cargo xtask build wasm cargo xtask run demos serve chat
Run them yourself here: benchmark.sipp.sh/benchmark
| Runtime / Framework | TTFT (ms) ↓ | Decode (tok/s) ↑ | E2E Latency (ms) ↓ |
|---|---|---|---|
| Sipp | 24.3 (Best) | 77.07 (Best) | 6,655 (Best) |
| WebLLM | 160.0 (6.55x) | 25.80 (2.99x) | 19,930 (2.99x) |
| Transformers.js | 301.0 (12.38x) | 33.25 (2.32x) | 15,670 (2.35x) |
Disclaimer & Metric Notes:
- TTFT (Time to First Token): Measured in milliseconds (ms). Lower is better.
- Decode: Measured in tokens per second (tok/s). Higher is better.
- E2E Latency (End-to-End Latency): Measured in milliseconds (ms). Lower is better.
- Performed on a Nvidia GTX 3080, 1 warm up, 3 measured runs. Results avg. of all measured runs.
Sipp supports web browsers, desktop application wrappers, server environments, and native runtimes. Install the specific implementation layer for your surface environment:
# For Web Browsers, Next.js, and TanStack applications npm install @sipphq/sipp # For Node.js backend deployments (with native CUDA/Metal compilation) npm install @sipphq/sipp-server # For native systems development and application embedding cargo add sipp-rs # For native macOS and iOS apps (source checkout on macOS) sipp build swift # For Python automation and data engineering pipelines # (sippy wheels ship from GitHub Releases today; full PyPI build matrix in progress) # pip install sipppy # Deploy the secure cloud gateway server instance via Docker # (cloud gateway will be available in the future, currently building from source) # docker pull noumena/sipp-gateway
Most developers should start with our pre-built packages when available. Swift support currently builds from a source checkout on macOS.
| Surface | Module | Install | Docs |
|---|---|---|---|
| Browser | Sipp Edge | npm install @sipphq/sipp |
Browser package |
| Node.js | Sipp Core | npm install @sipphq/sipp-server |
Node.js package |
| Rust | Sipp Core | cargo add sipp-rs |
Rust package |
| Python | Sipp Core | Wheels available on release page | Python package |
| Swift | Sipp Core | Source-built on macOS | Swift package |
| Gateway Server | Sipp Cloud | Source-built | Gateway Server |
| Gateway Toolkit | Sipp Cloud | Source-built | Gateway toolkit |
Initialize the local engine client to execute model weights directly on the client machine's shader cores using WebGPU.
npm install @sipphq/sipp
import { EndpointDescriptor, SippClient } from '@sipphq/sipp';
const messages = [
{ role: 'system', content: 'Answer concisely.' },
{ role: 'user', content: 'Explain Sipp in one sentence.' },
];
const client = new SippClient();
const model = await client.models.add(['/models/model.gguf']);
const endpoint = await client.add(
'default',
EndpointDescriptor.local(model.id, {
backend: 'webgpu',
runtime: { context: { n_ctx: 2048 } },
})
);
const run = client.chat(messages, {
endpoint,
maxTokens: 64,
});
console.log((await run.response).text);
await client.close();
Cloud gateway clients use the same SippClient API layout. The gateway owns
model paths, provider credentials, access policies, and centralized metrics;
your client only needs its public target, URL, and authentication.
import { EndpointDescriptor, SippClient } from '@sipphq/sipp';
const client = new SippClient();
const endpoint = await client.add(
'gateway',
EndpointDescriptor.gateway({
target: 'upstream-cluster',
baseUrl: 'https://gateway.example.com',
authentication: { kind: 'bearer', value: await getGatewayToken() },
})
);
const run = client.query('Explain gateway inference.', {
endpoint,
maxTokens: 64,
});
console.log((await run.response).text);
await client.close();
Swift support requires macOS and Xcode. The build stages a local Swift package
at .build/artifacts/swift/package and builds the macOS and iOS examples.
sipp toolchain install rust-apple sipp doctor --target swift sipp build swift
import Foundation
import Sipp
let modelURL = URL(fileURLWithPath: "/path/to/model.gguf")
let client = try SippClient()
let model = try await client.models.add([modelURL])
try await client.add("local", model: model)
let run = client.chat(
messages: [
ChatMessage(role: .system, content: "Answer concisely."),
ChatMessage(role: .user, content: "Explain Sipp in one sentence."),
],
endpoint: "local",
options: TextOptions(maxTokens: 64)
)
for await batch in run.tokens {
print(batch.text, terminator: "")
}
let response = try await run.response
print(response.text)
Run the staged command-line example, open the sandboxed macOS app, or launch the iOS example in a simulator:
.build/artifacts/swift/examples/SippCLI chat \ /path/to/model.gguf "Explain on-device inference" open .build/artifacts/swift/examples/SippSandbox.app xcrun simctl list devices available sipp run examples ios --simulator <simulator-udid> \ --model /path/to/model.gguf
See the Swift package guide and Swift examples for sandbox entitlements, supported operations, and device builds.
Sipp includes native integration blueprints to handle Server-Sent Events (SSE) streaming, serverless route orchestration, and client hydration patterns out of the box.
The full documentation lives in docs/en. From a source checkout, use the repo launcher to build or serve the book:
sipp docs build sipp docs serve
sipp docs installs required mdBook tooling when missing and configures the
Mermaid assets used by the technical book. Without the launcher, use
cargo xtask docs build or cargo xtask docs serve.
Our core development trajectory is oriented around expanding the edge-cloud infrastructure for running hybrid systems, where local and cloud resources are orchestrated seamlessly.
For a detailed structural breakdown of milestones, memory architectures, and long-term research initiatives, see the full Sipp Technical Roadmap.
To bootstrap the workspace, initialize a cross-platform profile, and inspect the available test suites:
source ./setup.sh sipp doctor sipp test list
(On Windows platforms, execute .\setup.ps1 inside PowerShell or setup.cmd via classic CMD if not using Git Bash or WSL).
The setup scripts install sipp as a repo-local alias for cargo xtask. If
the launcher is not active, replace sipp with cargo xtask in any command
below.
sipp build wasm sipp run examples serve browser sipp build node --backend cpu node examples/node/query.mjs <model.gguf> "Explain Sipp." sipp build python --backend cpu python examples/python/query.py <model.gguf> "Explain Sipp." sipp build swift # macOS with Xcode only sipp run demos serve chat
For thorough verification steps, consult the Source Builds Documentation and the Testing Framework Suite.
sipp-rs and low-level backend sipp-sys Rust crates.xtask/: Internal cargo automation engine driving build, test, and package deployment pipelines.Sipp is licensed under the Apache-2.0 License. Vendored third-party dependencies preserve their respective upstream open-source licensing constraints and documentation requirements; see the third-party notices.
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