synth-ai 0.2.4.dev3

Software for aiding the best and multiplying the will - Core AI functionality and tracing

Synth AI

Modern Compound AI System Development

Comprehensive AI Framework for Language Models, Environments, and Observability

A unified framework combining language model capabilities, synthetic environments, and comprehensive tracing for building and evaluating AI agents.

🚀 Quick Start

Installation

# Basic installation
pip install synth-ai

# With research environments (includes game environments)
pip install synth-ai[research]

# Full installation with all providers
pip install synth-ai[all]

Spinning Up

Start the Synth AI service daemon (includes sqld database + environment service):

# Start both database daemon (port 8080) and environment service (port 8901)
uvx synth-ai serve

Service Command Options

uvx synth-ai serve [OPTIONS]

Available Options:

• --db-file - Database file path (default: "synth_ai.db")
• --sqld-port - Port for sqld HTTP interface (default: 8080)
• --env-port - Port for environment service (default: 8901)
• --no-sqld - Skip starting sqld database daemon
• --no-env - Skip starting environment service

Examples:

# Start with custom ports
uvx synth-ai serve --sqld-port 8081 --env-port 8902

# Start only the environment service
uvx synth-ai serve --no-sqld

# Start only the database service
uvx synth-ai serve --no-env

What the Serve Command Provides

sqld Database Service (port 8080)

• Local SQLite-compatible database server with HTTP API
• Automatically downloads and installs sqld binary if needed
• Provides persistent storage for agent interactions and traces

Environment Service (port 8901)

• FastAPI service for managing AI environments and tasks
• Built-in environments: Crafter, Sokoban, MiniGrid, TicTacToe, Verilog, NetHack, Enron
• RESTful API for environment initialization, stepping, and termination
• Dynamic environment registry for custom environments

In another terminal, run your first example:

# Run a Crafter agent demo with Gemini
./examples/run_crafter_demo.sh

This will:

• Start the sqld database daemon with HTTP API on port 8080
• Launch the environment service API on port 8901
• Run a reactive agent in the Crafter environment using Gemini 1.5 Flash

Demos (Eval + Finetuning)

You can run interactive demos from the repo without remembering exact commands:

# Lists all available demos under examples/, then prompts you to choose
uvx synth-ai demo

Today this includes:

• Eval demo: examples/evals/run_demo.sh
  • Prompts for models, episodes, etc.
  • Runs Crafter rollouts with v3 tracing, then analyzes and filters traces
  • Writes a JSONL like ft_data/evals_filtered.jsonl for downstream use
• Finetuning demo: examples/finetuning/synth_qwen/run_demo.sh
  • Guides you through: rollouts → filter v3 traces → prepare SFT JSONL
  • Pair with uvpm examples.finetuning.synth_qwen.sft_kickoff to start an SFT job when ready

Notes:

• Ensure the service is running (uvx synth-ai serve) so v3 traces are recorded locally.
• Set API configuration for finetuning:
  • export LEARNING_V2_BASE_URL="http://localhost:8000/api" (or your proxy)
  • export SYNTH_API_KEY="sk_live_..."
• v3 trace data is stored under traces/v3/synth_ai.db/ by default. Inspect with uvx synth-ai traces.
• LM tracing: all model calls (prompts, outputs, tool calls, token usage, latency, cost) are automatically captured via v3 tracing and stored locally; inspect with uvx synth-ai traces.

One-Command Demos

Quickly browse and launch interactive demos under examples/:

uvx synth-ai demo

This lists all run_demo.sh scripts found in the repo (e.g., eval comparisons, finetuning flows) and lets you pick one to run.