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cuelo.

01Start

Quickstart

From zero to talking with an agent in five minutes, then into your own project.

Install

curl -fsSL https://setup.cuelo.dev/install | bash

On Windows: powershell -c "irm setup.cuelo.dev/install.ps1 | iex". Homebrew, uv, pip and Docker are covered in Installation. Running endpoints needs uv.

Add your keys

Cuelo reads credentials from a .env file in the current directory, or from the environment. The defaults need a Smallest key for speech and one LLM key:

.env
SMALLEST_API_KEY=...
CEREBRAS_API_KEY=...      # or ANTHROPIC_API_KEY, OPENAI_API_KEY, OPENROUTER_API_KEY

Every provider and its variable is listed in Providers.

Start the default agent

cuelo start

This serves the default agent and the dashboard on http://127.0.0.1:4141 and opens the Talk page. Pick a preset or write a prompt, press Connect and speak. The first start downloads the turn-taking model weights.

Look at the call

Open Calls in the dashboard. Each call has both audio channels, the transcript, every turn-taking decision and a latency breakdown per turn. See Dashboard.

Own the code

When you want a fixed persona, your own tools or a different stack, create a project:

cuelo init support-agent
cd support-agent
cuelo dev

cuelo init writes config.cuelo and generates the Python project. cuelo dev serves it on :4141, regenerates when you save config.cuelo, reloads when you change Python, and serves the dashboard on :4142. Continue with Projects.

Connect your own client

The server speaks the OpenAI Realtime API. With the OpenAI SDK, point the base URL at Cuelo:

from openai import AsyncOpenAI

client = AsyncOpenAI(base_url="http://127.0.0.1:4141/v1", api_key="unused")
async with client.realtime.connect(model="cuelo") as conn:
    await conn.session.update(session={"instructions": "You are a concise barista."})
    ...

Audio is PCM16 mono at 24 kHz in both directions.

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