Wei-Shaw/model-price-repo

model-price-repo

Filtered model pricing data for CRS and sub2api projects. Syncs from the upstream litellm pricing file on a schedule, applying configurable prefix filters to keep only the models you actually use.

How it works

A GitHub Actions workflow runs every 10 minutes (and on manual trigger):

1. Downloads the full model_prices_and_context_window.json from litellm
2. Filters models by the prefix rules in config.json
3. Merges new models into the existing output (additive — never removes)
4. Applies alias mappings and custom model definitions
5. Writes the output JSON + SHA-256 hash, commits only if content changed

Configuration

All settings live in config.json:

Adding new model prefixes

Edit the prefix_filters array in config.json:

{
  "prefix_filters": [
    "claude-",
    "gpt-",
    "your-new-prefix/"
  ]
}

Adding aliases

Aliases create copies of an existing model's pricing under a new key:

{
  "aliases": {
    "claude-opus-4-6-thinking": {
      "source": "claude-opus-4-6",
      "description": "Thinking variant, same pricing"
    }
  }
}

If the source model doesn't exist in the filtered data, the alias is skipped with a warning.

Running locally

python3 scripts/sync_prices.py --config config.json --repo-root .

No pip dependencies — uses Python standard library only.

CRS integration

Point CRS to the raw output file from this repo:

MODEL_PRICES_URL=https://raw.githubusercontent.com/<owner>/model-price-repo/main/model_prices_and_context_window.json

The output JSON structure is identical to what litellm produces (model key -> pricing object), so CRS pricingService.js works without changes.

License

MIT