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Agent setup

Connect your local AI agent to WaveSpeed LLM

Pick an agent, choose a WaveSpeed model, copy the right local config file, and route requests through the protocol that agent expects.

API keyTest model
Config file

~/.codex/config.toml

Protocol

OpenAI Responses API

Endpoint

/v1/responses

Quick start

1

Create a WaveSpeed access key

2

Export the required key locally

3

Paste config into~/.codex/config.toml

4

Run codex --profile wavespeed and check Logs

OpenAI-compatible chat completions

Usage appears in Dashboard and Logs

Switch models without rewriting agent code

Edit ~/.codex/config.toml
# File: ~/.codex/config.toml

model = "meta-llama/llama-4-scout"
model_provider = "wavespeed"

[model_providers.wavespeed]
name = "WaveSpeed AI"
base_url = "https://llm.wavespeed.ai/v1"
env_key = "WAVESPEED_API_KEY"
wire_api = "responses"

Use WaveSpeed AI as an LLM agent gateway

Configure Codex, Claude Code, OpenClaw, OpenCode, Hermes and other OpenAI-compatible developer agents with one base URL, one key, and the model you already selected from WaveSpeed AI.

Can I use WaveSpeed LLM models with Codex?

Yes. Use the OpenAI-compatible base URL, your WaveSpeed API key, and a supported model id in the Codex provider configuration.

Does this work with Claude Code, OpenClaw, OpenCode and Hermes?

Yes. The setup page provides copy-ready environment variables and configuration examples for Claude Code, OpenClaw, OpenCode, Hermes and OpenAI-compatible agents.

Where do I get my API key?

Create or copy an access key from the WaveSpeed AI Access Key page, then paste it into your local agent environment.

Agent setup guides

Set up CodexBest for repo editing, tests and pull requests.Set up Claude CodeUse WaveSpeed through Claude Code's Anthropic-compatible gateway mode.Set up OpenClawOpen-source agent runtime with OpenAI-compatible providers.Set up OpenCodeOpen-source coding agent with custom OpenAI-compatible providers.Set up HermesNous Research agent that can point at custom OpenAI-compatible endpoints.