AI for everyone.

One API for leading models, with clear provider availability and request-level billing.

import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.kineticrouter.com/v1",
    api_key=os.environ["KINETICROUTER_API_KEY"],
)

response = client.chat.completions.create(
    model="openai/gpt-6-astra",
    messages=[{"role": "user", "content": "Hello!"}],
)

print(response.choices[0].message.content)

38 modelsCurrent catalog
snapshot
57 docsStatus-marked
references

Connect Codex

  1. 1Set KINETICROUTER_API_KEY in your terminal environment
  2. 2Add the provider to ~/.codex/config.toml without replacing existing settings
  3. 3Start Codex with a model your key can access through Responses
# Add this provider alongside your existing configuration.
[model_providers.kineticrouter]
name = "kineticRouter"
base_url = "https://api.kineticrouter.com/v1"
env_key = "KINETICROUTER_API_KEY"
wire_api = "responses"
codex -c model_provider="kineticrouter" -m "YOUR_AVAILABLE_MODEL_ID"
Config~/.codex/config.tomlView setup guide