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The orq:search_models tool searches the Orq.ai model catalog during a response. It is useful when a model needs to choose another model based on context length, tool support, vision support, or input cost. Results come from the public model registry plus the private models enabled in the current workspace; public results are not filtered to models enabled in the workspace.

Quick start

The examples use the client configuration from the Server tools overview.

Configuration

Model-supplied filters

The model can combine these filters in a tool call: Each result includes an id field (provider/model, e.g. openai/gpt-5.4-mini) — this is the canonical routable identifier to pass as model in subsequent requests, since the bare model name is not unique across providers. Private workspace models carry the workspaceKey@ prefix (e.g. my-workspace@openai/my-finetune). Results are sorted by id and include model costs, context length, and capability flags.

Cost and usage

Catalog searches have no additional charge. The number of searches appears at usage.server_tool_use.search_models_requests. Pair this tool with Subagent when the calling model should select a worker model before delegating a task.