An SDK for building reliable AI agents
Project description
RELAI: Simulate → Evaluate → Optimize AI Agents
RELAI is an SDK for building reliable AI agents. It streamlines the hardest parts of agent development—simulation, evaluation, and optimization—so you can iterate quickly with confidence.
What you get
- Agent Simulation — Create full/partial environments, define LLM personas, mock MCP servers & tools, and generate synthetic data. Optionally condition simulation on real samples to better match production.
- Agent Evaluation — Mix code-based and LLM-based custom evaluators or use RELAI platform evaluators. Turn human reviews into benchmarks you can re-run.
- Agent Optimization (Maestro) — Holistic optimizer that uses evaluator signals & feedback to improve prompts/configs and suggest graph-level changes. Also selects best model/tool/graph based on observed performance.
Quickstart
Create a free account and get a RELAI API key: platform.relai.ai/settings/access/api-keys
Installation and Setup
pip install relai
# or
uv add relai
export RELAI_API_KEY="<RELAI_API_KEY>"
Links
- 📘 Documentation: docs.relai.ai
- 🧪 Examples: relai-sdk/examples
- 🌐 Website: relai.ai
- 📰 Maestro Technical Report: ArXiV
- 🌐 Join the Community: Discord
License
Apache 2.0
Project details
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