AI Agent Integration

Paste this brief into a coding agent (Claude Code, Cursor, Codex, Aider, Hermes, …) when you want it to add AnyRouter to an existing codebase. AnyRouter is OpenAI-compatible, so the change is almost always the same: new base URL, new key, new model id.

Before you start

• An AnyRouter API key (prefix sk-ar-). Create one in the dashboard.
• Store the key in the project's normal secret manager. Do not commit it.

The contract

Set it up

Integrate AnyRouter as the LLM provider for this project.

API:    OpenAI-compatible
Base:   https://anyrouter.dev/api/v1
Key:    process.env.ANYROUTER_API_KEY  (prefix sk-ar-)
Model:  process.env.ANYROUTER_MODEL    (fallback z-ai/glm-4.7-flash)

Rules:
1. Reuse the project's existing LLM client if one exists.
   If not, add one small module that exports a configured OpenAI client.
2. Never hardcode the key.
3. Keep request/response shapes compatible with the current feature.
4. Preserve existing UI and behavior — only swap the LLM source.
5. If the project uses Anthropic Messages directly:
     - keep `anthropic/*` calls on /messages, OR
     - migrate them to /chat/completions for cross-provider routing.
6. Add a smoke test: one short prompt that prints the response.

Client module

Use whichever language matches your project. Streaming uses the same client — set stream: true and iterate.

npm install openai

import OpenAI from "openai"

export const anyrouter = new OpenAI({
  baseURL: "https://anyrouter.dev/api/v1",
  apiKey: process.env.ANYROUTER_API_KEY,
})

export const MODEL = process.env.ANYROUTER_MODEL ?? "z-ai/glm-4.7-flash"

export async function generate(prompt: string) {
  const r = await anyrouter.chat.completions.create({
    model: MODEL,
    messages: [{ role: "user", content: prompt }],
  })
  return r.choices[0]?.message.content ?? ""
}

pip install openai

import os
from openai import OpenAI

client = OpenAI(
    base_url="https://anyrouter.dev/api/v1",
    api_key=os.environ["ANYROUTER_API_KEY"],
)

r = client.chat.completions.create(
    model=os.getenv("ANYROUTER_MODEL", "z-ai/glm-4.7-flash"),
    messages=[{"role": "user", "content": "Reply with: anyrouter-ok"}],
)
print(r.choices[0].message.content)

Verify

Run the smoke test. A reply of anyrouter-ok confirms the integration is live.

curl https://anyrouter.dev/api/v1/chat/completions \
  -H "Authorization: Bearer $ANYROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "z-ai/glm-4.7-flash",
    "messages": [{"role":"user","content":"Reply with: anyrouter-ok"}],
    "max_tokens": 20
  }'

The integration is done when:

• Calls hit https://anyrouter.dev/api/v1
• The key comes from ANYROUTER_API_KEY (no inline literal)
• Model ids use the provider/model form
• Streaming still streams if it streamed before
• Errors flow through the project's existing error path

Optional extras

new OpenAI({
  baseURL: "https://anyrouter.dev/api/v1",
  apiKey: process.env.ANYROUTER_API_KEY,
  defaultHeaders: {
    "X-AnyRouter-Title": "My App",
    "X-AnyRouter-Source": "web-app",
    "X-AnyRouter-Version": process.env.APP_VERSION ?? "dev",
  },
})

{
  "provider": {
    "sort": "latency",
    "max_price": { "prompt": "2.00", "completion": "8.00" },
    "allow_fallbacks": true
  }
}

Related

• Quickstart — first request in 2 minutes
• Migrate from OpenAI — swap an existing OpenAI app
• Chat Completions API — the main endpoint
• Responses API — typed output items and tools
• App Attribution — how the attribution headers work