keiro 0.1.0

Keiro client — call the EB1 multi-model ensemble API.

Keiro

EB1 multi-model ensemble inference. Run multiple frontier models in parallel and synthesize the best response.

Quick start

pip install keiro
keiro setup

from keiro import complete

print(complete("What is machine learning?"))

How it works

EB1 sends your prompt to multiple frontier models (Claude, GPT, Gemini) in parallel, then a judge synthesizes the strongest elements into a single response. The result is more accurate and more complete than any individual model.

Models

Model	Description
eb1 (default)	3-model ensemble with synthesis
eb1-pro	4-model ensemble for harder tasks
claude-opus-4-6	Direct passthrough (no ensemble)
gpt-5.2	Direct passthrough

from keiro import complete

# Default ensemble
answer = complete("Solve this step by step: what is 23 * 47?")

# Specific model
answer = complete("Write a haiku", model="claude-opus-4-6")

Configuration

Interactive setup (recommended):

keiro setup

This validates your API key against the gateway and saves credentials to ~/.keiro/credentials.

Environment variables:

export KEIRO_API_KEY="your-api-key"
export KEIRO_BASE_URL="https://api.keiro.ai"  # optional

Explicit arguments:

complete("Hello", api_key="your-key", base_url="https://api.keiro.ai")

Precedence: explicit arguments > environment variables > credentials file.

Requirements

• Python 3.11+
• No GPU required (inference runs on Keiro's hosted infrastructure)