programasweights 0.3.0

Compile natural language specifications into neural programs that run locally via llama.cpp.

ProgramAsWeights

Compile natural language specs into tiny neural functions that run locally.

Define what a function should do in plain English. PAW compiles it into a small neural program that runs on your machine — no API keys at runtime, no internet needed after setup, fully deterministic.

Install

pip install programasweights --extra-index-url https://pypi.programasweights.com/simple/

Quick Start

import programasweights as paw

# Use a pre-compiled function (downloads once, runs locally forever)
fn = paw.function("email-triage")
fn("Urgent: the server is down!")        # "immediate"
fn("Newsletter: spring picnic")          # "can wait"

# Compile your own from a description
program = paw.compile(
    "Fix malformed JSON: repair missing quotes and trailing commas",
    compiler="paw-4b-qwen3-0.6b",  # or "paw-4b-gpt2" for smaller/faster
    slug="json-fixer"              # optional: creates username/json-fixer handle
)
fn = paw.function(program.slug)    # or paw.function(program.id)
fn("{name: 'Alice',}")  # '{"name": "Alice"}'

# Or compile and load in one step
fn = paw.compile_and_load("Classify sentiment as positive or negative")
fn("I love this!")  # "positive"

Two Compilers

	Standard (Qwen3 0.6B)	Compact (GPT-2 124M)
Compiler name	paw-4b-qwen3-0.6b	paw-4b-gpt2
Accuracy	Higher	Lower
Base model size	594 MB	105 MB
Program size	~22 MB	~5 MB
Inference speed	~90ms (server)	~50ms (server)
Runs in browser	No	Yes

Default is Standard (Qwen3 0.6B). Use Compact (GPT-2) when you need smaller files or browser deployment.

Browser SDK

Programs compiled with GPT-2 also run entirely in the browser via WebAssembly — no server needed, data never leaves the user's device.

npm install @programasweights/web

import paw from '@programasweights/web';

const fn = await paw.function('programasweights/email-triage');
const result = await fn('Urgent: the server is down!');
// result: "immediate"

See the browser SDK repo for full documentation.

Use with AI Agents

PAW works with Cursor, Claude, Codex, and other AI coding assistants. Paste this into your agent's chat:

I want to use ProgramAsWeights (PAW) to create fuzzy text functions that run locally. Read the instructions at https://programasweights.com/agents and help me integrate it.

Or save AGENTS.md to your project root — agents read it automatically.

When to Use PAW

• Fuzzy search — typo-tolerant matching, semantic search, near-duplicate detection
• Format repair — fix broken JSON, normalize dates, repair malformed inputs
• Classification — sentiment, urgency, categories defined in your own words
• Extraction — emails, names, dates from messy unstructured text
• Log triage — extract errors from verbose output, filter noise
• Intent routing — map user descriptions to the closest URL, menu item, or setting
• Agent preprocessing — parse tool calls, validate outputs, route tasks

Authentication

# Option 1: environment variable (recommended)
export PAW_API_KEY=paw_sk_...

# Option 2: CLI login (opens browser to generate key)
paw login

Generate API keys at programasweights.com/settings. Authenticated users get higher rate limits.

CLI

paw compile --spec "Extract error lines from logs" --json
paw run --program <program_id> --input "[ERROR] timeout" --json
paw login

--json gives structured output for programmatic use.

Links

• Website: programasweights.com
• Documentation: programasweights.readthedocs.io
• Python SDK: github.com/programasweights/programasweights-python
• Browser SDK: github.com/programasweights/programasweights-js
• Program Hub: programasweights.com/hub

License

MIT