Hubris

Current balance of the Hubris account the API key belongs to, in rubles. Worth checking before a long or expensive run: requests are refused once the balance is spent. The balance can go slightly negative — one operation is allowed to overdraw it, and the next one is refused. Two representations of the same number come back. Use `balanceKopecks` for arithmetic and comparisons — it is an exact integer string. Use `balanceRub` for display.

Run a chat completion on any model in the Hubris catalogue and get the answer back. Full parity with POST /v1/chat/completions — same request shape, same response shape, including tool calls, structured output and reasoning. Streaming is not available here: MCP tool calls are synchronous, and `stream` is ignored if you pass it. This is how you reach a model you cannot reach otherwise — pick an id with models_search, then call it here. Useful for delegating a subtask to a cheaper or a stronger model than the one you are running on. The call spends real money from the account balance: it is billed per token at the catalogue price, in rubles. balance_get shows what is left.

The full price of one model in rubles — the authoritative answer to "what does this cost". Prefer this over the pricing embedded in models_list and models_search whenever the model is not billed per token. Those two return "0.00" token rates for such models; only this tool returns `perUnit`, where the real price per image, per second or per thousand characters lives. Errors with InvalidParams if the model id is unknown or the model is no longer active.

Walk the whole Hubris catalogue page by page, ordered by model id. Returns every active model with its capabilities, context window and ruble price. Use this when you need the complete catalogue — to cache it, to count models, or to scan for something no filter covers. When you are looking for a model that fits a task, use models_search instead: it filters by capability, price and context server-side and saves you a few hundred rows. Paging: read `nextCursor` from the response and pass it back as `cursor`. When `nextCursor` is absent you have reached the end. The catalogue holds roughly 550 models, so a full walk is about 11 calls at the default page size.

Find models that fit a task. Filters by name, capability, price ceiling and context window, and can sort the result. This is the tool to reach for when choosing a model — it does the filtering server-side and returns at most 50 rows. All filters combine with AND, and every one of them is optional: calling with no arguments returns the first 50 active models. Two things worth knowing about prices. `maxInputPer1MRub` keeps only models billed per token, because a ruble-per-million ceiling is meaningless for a model billed per image. The `cheap_input` and `cheap_output` sorts push non-token models to the end of the list for the same reason — their token rate reads as zero, which would otherwise put video models at the top of "cheapest".