Openrouter Model Availability

What it does

When your agent uses it

• Building systems that depend on specific models being online
• Tasks that involve Model routing and gateways

Example prompts

• “openrouter model status”
• “is model available”
• “openrouter health check”
• “/openrouter-model-availability”

Requirements

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

Workflow steps

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

1. 1Confirm your models exist in the catalog with curl -s https://openrouter.ai/api/v1/models | jq ... per Query Model Status — pull…
2. 2For a zero-cost existence check inside code, use check_model_exists() from Catalog-Based Availability Check; on a miss it calls…
3. 3Probe live health with probe_model() from Health Check Service — a max_tokens: 1 request that returns a HealthStatus with available…
4. 4Sweep your critical set with check_critical_models(), which logs OK/FAIL plus latency per model.
5. 5Automate via the Availability Monitoring Script as a */5 * * * * cron job appending timestamped status lines to…
6. 6Tune alerting per Error Handling — require 2-3 consecutive failures before marking a model down to avoid false positives.

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(curl:*)
  • Bash(jq:*)

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  Shell commands in SKILL.md call:

  • curl
  • jq
  • pip

  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

  Also links to:

  • status.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 Model Availability loads about 2.2k tokens when it runs, and up to ~5.6k if it reads all its reference files. Until then it costs about 69 tokens; SKILL.md has 509 words of instructions outside code blocks.

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

~69

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

~2.2k

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

~5.6k

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). 509 words, ~2,244 tokens.

name

openrouter-model-availability

description

Monitor OpenRouter model availability and implement health checks. Use when building systems that depend on specific models being online. Triggers: 'openrouter model status', 'is model available', 'openrouter health check', 'model availability'.

allowed-tools

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

compatibility

Designed for Claude Code

version

1.20.0

license

MIT

author

Jeremy Longshore <jeremy@intentsolutions.io>

tags

saas, openrouter, monitoring, availability

# Check if specific models exist and their status
curl -s https://openrouter.ai/api/v1/models | jq '[.data[] | select(
  .id == "anthropic/claude-3.5-sonnet" or
  .id == "openai/gpt-4o" or
  .id == "openai/gpt-4o-mini"
) | {
  id,
  context_length,
  prompt_per_M: ((.pricing.prompt | tonumber) * 1000000),
  completion_per_M: ((.pricing.completion | tonumber) * 1000000)
}]'

# List all available models (just IDs)
curl -s https://openrouter.ai/api/v1/models | jq '[.data[].id] | sort'

# Count models by provider
curl -s https://openrouter.ai/api/v1/models | jq '[.data[].id | split("/")[0]] | group_by(.) | map({provider: .[0], count: length}) | sort_by(-.count)'

import os, time, logging
from datetime import datetime, timezone
from dataclasses import dataclass
import requests
from openai import OpenAI, APIError, APITimeoutError

log = logging.getLogger("openrouter.health")

@dataclass
class HealthStatus:
    model: str
    available: bool
    latency_ms: float
    checked_at: str
    error: str = ""

client = OpenAI(
    base_url="https://openrouter.ai/api/v1",
    api_key=os.environ["OPENROUTER_API_KEY"],
    timeout=15.0,
    default_headers={"HTTP-Referer": "https://my-app.com", "X-Title": "health-check"},
)

def probe_model(model_id: str) -> HealthStatus:
    """Send a minimal request to test model availability."""
    start = time.monotonic()
    try:
        response = client.chat.completions.create(
            model=model_id,
            messages=[{"role": "user", "content": "hi"}],
            max_tokens=1,  # Minimal cost
        )
        latency = (time.monotonic() - start) * 1000
        return HealthStatus(
            model=model_id, available=True, latency_ms=round(latency, 1),
            checked_at=datetime.now(timezone.utc).isoformat(),
        )
    except (APIError, APITimeoutError) as e:
        latency = (time.monotonic() - start) * 1000
        return HealthStatus(
            model=model_id, available=False, latency_ms=round(latency, 1),
            checked_at=datetime.now(timezone.utc).isoformat(),
            error=str(e),
        )

def check_critical_models() -> list[HealthStatus]:
    """Probe all critical models."""
    CRITICAL_MODELS = [
        "anthropic/claude-3.5-sonnet",
        "openai/gpt-4o",
        "openai/gpt-4o-mini",
        "google/gemini-2.0-flash-001",
    ]
    results = []
    for model in CRITICAL_MODELS:
        status = probe_model(model)
        log.info(f"{'OK' if status.available else 'FAIL'} {model} ({status.latency_ms}ms)")
        results.append(status)
    return results

def check_model_exists(model_id: str) -> dict:
    """Check if a model exists in the catalog (no API call cost)."""
    resp = requests.get("https://openrouter.ai/api/v1/models")
    models = {m["id"]: m for m in resp.json()["data"]}

    if model_id in models:
        m = models[model_id]
        return {
            "exists": True,
            "context_length": m["context_length"],
            "pricing": m["pricing"],
        }
    return {"exists": False, "suggestion": find_similar(model_id, models)}

def find_similar(model_id: str, models: dict) -> list[str]:
    """Find models with similar names (for migration when model is removed)."""
    prefix = model_id.split("/")[0]
    return [m for m in models if m.startswith(prefix)][:5]

#!/bin/bash
# Run as cron job: */5 * * * * /path/to/check_models.sh

MODELS=("anthropic/claude-3.5-sonnet" "openai/gpt-4o" "openai/gpt-4o-mini")
LOG_FILE="/var/log/openrouter-health.log"

for MODEL in "${MODELS[@]}"; do
  START=$(date +%s%N)
  HTTP_CODE=$(curl -s -o /dev/null -w "%{http_code}" \
    https://openrouter.ai/api/v1/chat/completions \
    -H "Authorization: Bearer $OPENROUTER_API_KEY" \
    -H "Content-Type: application/json" \
    -d "{\"model\":\"$MODEL\",\"messages\":[{\"role\":\"user\",\"content\":\"ping\"}],\"max_tokens\":1}" \
    --max-time 15)
  END=$(date +%s%N)
  LATENCY=$(( (END - START) / 1000000 ))

  STATUS="OK"
  [ "$HTTP_CODE" != "200" ] && STATUS="FAIL"

  echo "$(date -u +%Y-%m-%dT%H:%M:%SZ) $STATUS $MODEL $HTTP_CODE ${LATENCY}ms" >> "$LOG_FILE"
done

curl -s https://openrouter.ai/api/v1/models | jq '[.data[] | select(
  .id == "anthropic/claude-3.5-sonnet") | {id, context_length}]'
# [{"id": "anthropic/claude-3.5-sonnet", "context_length": 200000}]

© 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-model-availability of jeremylongshore/tons-of-skills-marketplace.

• SKILL.md
• references/checking-model-status.md
• references/errors.md
• references/examples.md
• references/handling-model-unavailability.md
• references/model-health-monitoring.md
• references/status-dashboard.md

Open the folder on GitHubat commit cfae287