Openrouter Openai Compat

What it does

When your agent uses it

• Switching to OpenRouter
• Maintaining dual compatibility

Example prompts

• “openrouter openai compatible”
• “openrouter drop-in”
• “openai to openrouter”
• “/openrouter-openai-compat”

Requirements

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

Workflow steps

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

1. 1Apply The Two-Line Migration: point base_url at https://openrouter.ai/api/v1 and swap api_key to OPENROUTER_API_KEY; optionally add the…
2. 2Prefix every model string per Model ID Mapping — gpt-4o becomes openai/gpt-4o, o1 becomes openai/o1 — and try a non-OpenAI model…
3. 3Confirm your feature usage against What Works Identically (streaming, tools, JSON mode, stop, n) and adjust per What Differs — remove the…
4. 4Layer in OpenRouter-Only Features through extra_body: ordered fallback model lists with "route": "fallback", provider preferences with…
5. 5Keep the migration reversible with the Dual-Provider Pattern — create_client() switches between direct OpenAI and OpenRouter off the…

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(python3:*)
  • Bash(node:*)

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  No scripts in the folder and no shell commands in SKILL.md (its code samples are python and typescript).

  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
  • OPENAI_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 Openai Compat loads about 2.4k tokens when it runs, and up to ~4.2k if it reads all its reference files. Until then it costs about 66 tokens; SKILL.md has 619 words of instructions outside code blocks.

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

~66

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

~2.4k

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

~4.2k

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). 619 words, ~2,403 tokens.

name

openrouter-openai-compat

description

Migrate from OpenAI to OpenRouter with minimal code changes. Use when switching to OpenRouter or maintaining dual compatibility. Triggers: 'openrouter openai compatible', 'openrouter drop-in', 'openai to openrouter', 'openrouter migration'.

allowed-tools

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

compatibility

Designed for Claude Code

version

1.20.0

license

MIT

author

Jeremy Longshore <jeremy@intentsolutions.io>

tags

saas, openrouter, api, migration, openai

from openai import OpenAI

client = OpenAI(api_key=os.environ["OPENAI_API_KEY"])  # OpenAI direct
response = client.chat.completions.create(
    model="gpt-4o",
    messages=[{"role": "user", "content": "Hello"}],
)

from openai import OpenAI

client = OpenAI(
    base_url="https://openrouter.ai/api/v1",              # Changed
    api_key=os.environ["OPENROUTER_API_KEY"],              # Changed
    default_headers={
        "HTTP-Referer": "https://your-app.com",            # Added (optional)
        "X-Title": "Your App",                             # Added (optional)
    },
)
response = client.chat.completions.create(
    model="openai/gpt-4o",  # Prefix with provider namespace
    messages=[{"role": "user", "content": "Hello"}],
)

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": "Your App" },
});

const res = await client.chat.completions.create({
  model: "openai/gpt-4o",
  messages: [{ role: "user", content: "Hello" }],
});

# Same client, any provider
response = client.chat.completions.create(
    model="anthropic/claude-3.5-sonnet",  # Anthropic
    messages=[{"role": "user", "content": "Hello"}],
)

response = client.chat.completions.create(
    model="google/gemini-2.0-flash",  # Google
    messages=[{"role": "user", "content": "Hello"}],
)

# Model fallbacks (try models in order)
response = client.chat.completions.create(
    model="anthropic/claude-3.5-sonnet",
    messages=[{"role": "user", "content": "Hello"}],
    extra_body={
        "models": [
            "anthropic/claude-3.5-sonnet",
            "openai/gpt-4o",
            "google/gemini-2.0-flash",
        ],
        "route": "fallback",
    },
)

# Provider preferences
response = client.chat.completions.create(
    model="anthropic/claude-3.5-sonnet",
    messages=[{"role": "user", "content": "Hello"}],
    extra_body={
        "provider": {
            "order": ["anthropic"],             # Prefer Anthropic direct
            "allow_fallbacks": True,
            "sort": "price",                    # Cheapest first
        },
    },
)

# Plugins (web search, response healing)
response = client.chat.completions.create(
    model="openai/gpt-4o",
    messages=[{"role": "user", "content": "What happened today?"}],
    extra_body={
        "plugins": [{"id": "web"}],  # Enable real-time web search
    },
)

import os
from openai import OpenAI

def create_client(provider: str = "openrouter") -> OpenAI:
    if provider == "openai":
        return OpenAI(api_key=os.environ["OPENAI_API_KEY"])
    return OpenAI(
        base_url="https://openrouter.ai/api/v1",
        api_key=os.environ["OPENROUTER_API_KEY"],
        default_headers={"HTTP-Referer": "https://your-app.com"},
    )

# Switch providers without changing application code
client = create_client(os.environ.get("LLM_PROVIDER", "openrouter"))

client = OpenAI(base_url="https://openrouter.ai/api/v1",
                api_key=os.environ["OPENROUTER_API_KEY"])
response = client.chat.completions.create(
    model="openai/gpt-3.5-turbo",
    messages=[{"role": "user", "content": "What is the capital of France?"}],
    max_tokens=100,
)
print(response.choices[0].message.content)  # The capital of France is Paris.
print(response.model)                        # openai/gpt-3.5-turbo

© 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 5 other files (references) in skills/.curated/openrouter-openai-compat of jeremylongshore/tons-of-skills-marketplace.

• SKILL.md
• references/drop-in-replacement.md
• references/errors.md
• references/examples.md
• references/feature-compatibility.md
• references/switching-between-providers.md

Open the folder on GitHubat commit cfae287