We are building an autonomous research agent that turns a vague question into a structured plan, gathers evidence across multiple calls, and synthesizes a markdown report. This is the practical future of LLMs: not monolithic chat, but small, orchestrated reasoning loops that leverage long context and tool use. Because Oxlo.ai charges a flat rate per request instead of per token (see pricing), running multi-step agent workflows like this stays predictable even when prompts grow.
What you'll need
Python 3.10 or newer
An Oxlo.ai API key from https://portal.oxlo.ai
The OpenAI SDK: pip install openai
