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Labs, Inc."},"license":"MIT","homepage":"https://omp.sh","keywords":["ai","catalog","discovery","llm","models"],"repository":{"url":"git+https://github.com/can1357/oh-my-pi.git","type":"git","directory":"packages/catalog"},"description":"Model catalog for omp: bundled model database, provider discovery descriptors, model identity, classification, and equivalence","maintainers":[{"name":"can1357","email":"can.boluk89@gmail.com"}],"readme":"# @oh-my-pi/pi-catalog\n\nModel catalog for [omp](https://github.com/can1357/oh-my-pi): bundled model database, provider discovery, model identity, classification, and equivalence.\n\n## What's inside\n\n| Module                          | Purpose                                                                                                                                                                                                                                      |\n| ------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |\n| `models.json` + `models`        | Bundled model database (pricing, context windows, modalities, thinking support)                                                                                                                                                              |\n| `provider-models`               | Provider catalog descriptors (`CATALOG_PROVIDERS`), per-provider model resolution rules                                                                                                                                                      |\n| `discovery`                     | Runtime model discovery for OpenAI-compatible endpoints, Gemini, Codex, Cursor, Antigravity, Ollama                                                                                                                                          |\n| `compat/rules`                  | Checked-in KDL policy tree: taxonomy (classes/families/revisions), class/provider cascade rules, runtime behavior vocabulary; compiled by `bun run gen:compat` into the committed `rules.json`                                               |\n| `compat`                        | The rule engine: `classifyModel` (taxonomy), `resolveModelPolicy` (cascade), behavior accessors (`api-routes`, `model-limits`, `exclude-models`, `pricing-peer`), collapse, and OpenAI/Anthropic wire builders that consume resolved records |\n| `identity`                      | Mechanical id utilities: reference resolution against the bundled index, dialects, selection priority, tokenizer families                                                                                                                    |\n| `model-thinking`                | Runtime thinking helpers (`getSupportedEfforts`, effort clamping/mapping, wire-id routing) over resolved model records                                                                                                                       |\n| `model-manager` / `model-cache` | Runtime model registry with discovery refresh and on-disk caching                                                                                                                                                                            |\n| `wire`                          | Wire-level helpers: Codex, Gemini headers, GitHub Copilot                                                                                                                                                                                    |\n| `effort`                        | Reasoning-effort level definitions                                                                                                                                                                                                           |\n\nImport from subpaths (`@oh-my-pi/pi-catalog/<module>`) or the root barrel.\n\n## models.json and rules.json are generated\n\nNever edit `src/models.json` or `src/compat/rules.json` by hand. `models.json` is produced from upstream sources (stencil.so, provider catalog discovery, OpenCode docs) by `scripts/generate-models.ts`; `rules.json` is compiled from the KDL tree in `src/compat/rules/`. Regenerate with:\n\n```sh\nbun run gen:compat   # src/compat/rules/**/*.kdl -> src/compat/rules.json\nbun run gen:models   # upstream sources + rules -> src/models.json\n```\n\nModel- or provider-conditional policy (identity, effort ladders, wire quirks, modality/limit/pricing corrections, API routing, roster exclusions) lives in the KDL tree — see `src/compat/rules/README.md` for the grammar and axis vocabulary. TypeScript changes are only for transport mechanics: provider entries in `provider-models/descriptors.ts`, discovery/request plumbing in `provider-models/openai-compat.ts`, and generator wiring in `scripts/generate-models.ts`. Commit `rules.json` (and a rebaked `models.json` when values change) alongside the `.kdl` edit.\n\n## Install\n\n```sh\nbun add @oh-my-pi/pi-catalog\n```\n\nShips TypeScript source directly (no build step); requires Bun ≥ 1.3.14.\n\n## Cost calculation\n\nThe `models` subpath (also exported from the root) provides timestamp-aware pricing helpers:\n\n| API                                                               | Result                                                                                                    |\n| ----------------------------------------------------------------- | --------------------------------------------------------------------------------------------------------- |\n| `calculateCost(model, usage, timestamp?)`                         | Updates and returns `usage.cost` using `model.cost`.                                                      |\n| `calculateUsageCost(cost, usage, timestamp?)`                     | Updates and returns `usage.cost` using a `ModelCost`.                                                     |\n| `calculateUncachedInputCost(cost, promptInputTokens, timestamp?)` | Returns the cost of a fully uncached prompt.                                                              |\n| `getTimeBasedPricingPeriod(cost, timestamp?)`                     | Returns `\"peak\"`, `\"off-peak\"`, or `undefined` without a schedule.                                        |\n| `getNextTimeBasedPricingTransition(cost, timestamp?)`             | Returns the next actual peak/off-peak change strictly after the timestamp, or `undefined` if none exists. |\n\nTimestamps are Unix milliseconds; omitted timestamps use the current time for scheduled pricing. Flat token prices are unaffected. Pricing selects the latest applicable effective rate card, then its long-context tier, then the peak/off-peak multiplier. A transition query concerns the recurring tariff, not dated rate-card changes.\n\n`ModelCost.timeBased` is optional typed metadata (`TimeBasedCost`): `offPeakMultiplier`, `peakWindows` (UTC `weekdays`, Sunday = 0, and start-inclusive/end-exclusive `startMinute`/`endMinute`), and optional `effectiveRates`. Each effective rate is a complete `TokenCost` with an `effectiveFrom` Unix-millisecond timestamp and optional `longContext` tier, replacing the base card from that instant.\n\nPass the request-start timestamp when estimating request usage, then preserve the resulting monetary amounts rather than repricing history at display time. OMP does this using the assistant message timestamp; it is an estimation convention, not a claim about server billing across boundaries. Prefer monetary costs reported by a provider when available.\n\nSchedules are materialized from the [`time-based-cost` KDL axis](src/compat/rules/README.md#time-based-pricing); this does not add a `timeBased` input field to the coding agent's `models.yml`. See [user-facing pricing behavior](../../docs/models.md#usage-costs-and-time-based-pricing) for DeepSeek rates, dates, and footer indicators.\n\n## References\n\n- [Monorepo README](https://github.com/can1357/oh-my-pi#readme)\n- [CHANGELOG](./CHANGELOG.md)\n","readmeFilename":"README.md"}