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RL as a service SDK - Core AI functionality and tracing

Project description

Synth-AI SDK

Python License PyPI Coverage Tests Blacksmith CI

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


🚀 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


When you run uvx synth-ai setup, the SDK opens your browser to the Synth dashboard for a one‑time pairing (handshake) with your signed‑in session. The SDK will automatically:

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

⚙️ 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


🔐 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


📚 Documentation


🧠 Meta

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