v0.1.0 — Initial Public Release

AgentOpt v0.1.0

Find the right LLM models for your AI agents — automatic model selection with accuracy/cost/latency tradeoffs.

Highlights

• Duck-typed agent API: wrap your agent with __init__(self, models) + run(self, input_data) — no base class required
• 9 selection algorithms: brute force, arm elimination, epsilon-LUCB, hill climbing, Bayesian optimization, and more
• Framework-agnostic: works with OpenAI, LangChain, LangGraph, CrewAI, LlamaIndex, AG2, and any httpx-based SDK
• Automatic cost & latency tracking: intercepts at the httpx transport layer
• Response caching: in-memory + SQLite on disk, enabled by default
• Parallel evaluation: concurrent agent runs with configurable concurrency

Install

pip install agentopt

Links

• Documentation
• Quick Start
• Blog: Why Your Agent Needs a Model Optimizer