Openrouter Hello World

What it does

When your agent uses it

• Learning OpenRouter
• Verifying connectivity

Example prompts

• “openrouter hello world”
• “openrouter first request”
• “test openrouter”
• “/openrouter-hello-world”

Requirements

• Python 3
• Node.js
• A credential in OPENROUTER_API_KEY
• Compatibility (from SKILL.md): Designed for Claude Code
• Pre-approved tools (allowed-tools): Read, Write, Edit, Grep, Bash(curl:*), Bash(python3:*), Bash(node:*), Bash(jq:*)

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

1. 1Export your key: export OPENROUTER_API_KEY="sk-or-v1-...".
2. 2Send the minimal cURL request below and confirm you get a choices[0].message.content back.
3. 3Read the Response Format section to identify the four key fields (id, model, usage, finish_reason).
4. 4Repeat the same request from your app language using the Python or TypeScript example.
5. 5Swap model IDs per Try Different Models to confirm multi-model access works with the same code.
6. 6Query GET /api/v1/generation?id=gen-... per Check Generation Cost to verify cost tracking on the request you just sent.

What it can do on your machine

Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves these tools, so the agent can use them without asking each time:

  • Read
  • Write
  • Edit
  • Grep
  • Bash(curl:*)
  • Bash(python3:*)
  • Bash(node:*)
  • Bash(jq:*)

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  Shell commands in SKILL.md call:

  • curl
  • jq
  • pip
  • npm

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  Hosts in commands or code, which the agent is likely to contact:

  • openrouter.ai

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names these keys or tokens, usually read from environment variables:

  • OPENROUTER_API_KEY

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

• Compatibility

  Designed for Claude Code

  From compatibility in the SKILL.md frontmatter.

Context cost

Openrouter Hello World loads about 1.8k tokens when it runs, and up to ~3.4k if it reads all its reference files. Until then it costs about 68 tokens; SKILL.md has 421 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~68

When it runs · the whole SKILL.md, loaded when a task matches

~1.8k

With references · SKILL.md plus every file in references/, read only if the agent opens them

~3.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 421 words, ~1,821 tokens.

name

openrouter-hello-world

description

Send your first OpenRouter API request and understand the response. Use when learning OpenRouter, testing setup, or verifying connectivity. Triggers: 'openrouter hello world', 'openrouter first request', 'test openrouter', 'openrouter quickstart'.

allowed-tools

Read, Write, Edit, Grep, Bash(curl:*), Bash(python3:*), Bash(node:*), Bash(jq:*)

compatibility

Designed for Claude Code

version

1.20.0

license

MIT

author

Jeremy Longshore <jeremy@intentsolutions.io>

tags

saas, openrouter, api, quickstart

curl -s https://openrouter.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "google/gemma-2-9b-it:free",
    "messages": [{"role": "user", "content": "Say hello in three languages"}],
    "max_tokens": 100
  }' | jq .

{
  "id": "gen-abc123xyz",
  "model": "google/gemma-2-9b-it:free",
  "object": "chat.completion",
  "created": 1711234567,
  "choices": [{
    "index": 0,
    "message": {
      "role": "assistant",
      "content": "Hello! Bonjour! Hola!"
    },
    "finish_reason": "stop"
  }],
  "usage": {
    "prompt_tokens": 12,
    "completion_tokens": 8,
    "total_tokens": 20
  }
}

from openai import OpenAI
import os

client = OpenAI(
    base_url="https://openrouter.ai/api/v1",
    api_key=os.environ["OPENROUTER_API_KEY"],
    default_headers={"HTTP-Referer": "https://your-app.com", "X-Title": "My App"},
)

# Basic completion
response = client.chat.completions.create(
    model="google/gemma-2-9b-it:free",
    messages=[
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": "What is OpenRouter in one sentence?"},
    ],
    max_tokens=100,
)

print(response.choices[0].message.content)
print(f"Model: {response.model}")
print(f"Tokens: {response.usage.prompt_tokens} prompt + {response.usage.completion_tokens} completion")

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://openrouter.ai/api/v1",
  apiKey: process.env.OPENROUTER_API_KEY,
  defaultHeaders: { "HTTP-Referer": "https://your-app.com", "X-Title": "My App" },
});

const res = await client.chat.completions.create({
  model: "google/gemma-2-9b-it:free",
  messages: [{ role: "user", content: "What is OpenRouter in one sentence?" }],
  max_tokens: 100,
});

console.log(res.choices[0].message.content);
console.log(`Model: ${res.model} | Tokens: ${res.usage?.total_tokens}`);

# Swap model ID to access any of 400+ models
models_to_try = [
    "google/gemma-2-9b-it:free",         # Free tier
    "meta-llama/llama-3.1-8b-instruct",  # Open-source
    "anthropic/claude-3.5-sonnet",        # Anthropic
    "openai/gpt-4o",                      # OpenAI
    "openrouter/auto",                    # Auto-router (picks best model)
]

for model_id in models_to_try:
    try:
        r = client.chat.completions.create(
            model=model_id,
            messages=[{"role": "user", "content": "Hi"}],
            max_tokens=10,
        )
        print(f"{model_id}: {r.choices[0].message.content}")
    except Exception as e:
        print(f"{model_id}: {e}")

# After a request, query the generation endpoint for cost details
curl -s "https://openrouter.ai/api/v1/generation?id=gen-abc123xyz" \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" | jq '{
    model: .data.model,
    tokens_prompt: .data.tokens_prompt,
    tokens_completion: .data.tokens_completion,
    total_cost: .data.total_cost
  }'

$ curl -s https://openrouter.ai/api/v1/chat/completions ... | jq .choices[0].message.content
"Hello! Bonjour! Hola!"

OpenRouter is a unified API gateway that routes requests to 400+ LLMs.
Model: google/gemma-2-9b-it:free
Tokens: 21 prompt + 17 completion

© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 6 other files (references) in skills/.curated/openrouter-hello-world of jeremylongshore/tons-of-skills-marketplace.

• SKILL.md
• references/errors.md
• references/examples.md
• references/python-example.md
• references/try-different-models.md
• references/typescript-example.md
• references/your-first-request.md

Open the folder on GitHubat commit cfae287