synth-ai 0.2.9.dev6

Python SDK and CLI for Synth — RL-as-a-service

Synth-AI SDK

Synth-AI — Reinforcement Learning-as-a-Service for agents.
Docs: Get Started →

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🚀 Install

pip install synth-ai
# or
uv add synth-ai

Import:

import synth_ai

CLI (with uvx):

uvx synth-ai setup
uvx synth-ai demo
uvx synth-ai deploy
uvx synth-ai run

Full quickstart: https://docs.usesynth.ai/sdk/get-started

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🧩 About

Fast and effective reinforcement learning for agents, via an API.
Easily scale GPU topologies, train multi-node, and integrate with existing agent software.

Highlights

• Scale GPU topologies (A10Gs, H100s, multi-node available on request)
• Thin FastAPI wrapper integration
• Supports OSS models like Qwen3 (GPT-OSS GA soon)
• Own your trained models

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⚙️ Getting Started

Synth-AI ships with a built-in RL example: training Qwen3-0.6B on math reasoning.

1. Create accounts at Synth and Modal

2. Then run:

   uvx synth-ai demo
   uvx synth-ai setup
   uvx synth-ai deploy
   uvx synth-ai run
   

3. To walk through your first RL run, see
   👉 Synth-AI SDK Docs

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🔐 SDK → Dashboard Pairing

When you run uvx synth-ai setup (or legacy uvx synth-ai rl_demo setup):

• The SDK opens your browser to the Synth dashboard to pair your SDK with your signed-in session.

• Automatically detects your user + organization

• Ensures both API keys exist

• Writes them to your project’s .env as:

  SYNTH_API_KEY=
  ENVIRONMENT_API_KEY=
  

✅ No keys printed or requested interactively — all handled via browser pairing.

Environment overrides

• SYNTH_CANONICAL_ORIGIN → override dashboard base URL (default: https://www.usesynth.ai/dashboard)
• SYNTH_CANONICAL_DEV → 1|true|on to use local dashboard (http://localhost:3000)

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📚 Documentation

• SDK Docs: https://docs.usesynth.ai/sdk/get-started
• CLI Reference: https://docs.usesynth.ai/cli
• API Reference: https://docs.usesynth.ai/api
• Changelog: https://docs.usesynth.ai/changelog

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🧠 Meta

• Package: synth-ai
• Import: synth_ai
• Source: github.com/synth-laboratories/synth-ai
• License: MIT