Type Alias: ResolveRouteInput

ResolveRouteInput = z.infer<typeof ResolveRouteInputSchema>

ResolveRouteInput fields

Inputs required to select one deterministic gateway route.

• clientProtocol: Protocol the caller used.
• requestedModel: Model id or alias requested by the caller.
• originator (optional): Optional Originator header, such as codex.
• features: Request features that constrain routing.
• features.background: True when the client requested a background run.
• features.customTools: True when the request includes custom tools.
• features.parallelTools: True when the request asks for parallel tool calls.
• features.previousResponse: True when the request continues a stored response.
• features.reasoning: True when the request sets reasoning effort.
• features.storage: True when the request asks the provider to persist the response.
• features.structuredOutput: True when the request requires structured output.
• features.tools: True when the request includes tools.
• features.unsupportedOpenResponsesTools: True when tools cannot ride the Open Responses fast path.
• features.webSearch: True when the request includes web search.
• target: Discovered model selected for this request.
• target.id: Canonical model id advertised by the gateway.
• target.aliases: Additional names that resolve to this model.
• target.displayName: Human-readable label shown to clients.
• target.family (optional): Detected model family used for grouping.
• target.modelServiceName (optional): Canonical model-service name for metadata lookup.
• target.endpoint (optional): Normalized serving endpoint backing this target, when discovered.
• target.endpoint.name: Serving endpoint invoke id.
• target.endpoint.displayName (optional): Human-readable label when the workspace provides one.
• target.endpoint.family (optional): Detected model family used for grouping and sort order.
• target.endpoint.task (optional): Databricks serving task reported for the endpoint.
• target.endpoint.state (optional): Serving endpoint lifecycle state.
• target.endpoint.description (optional): Workspace-provided endpoint description.
• target.endpoint.supportsTools (optional): True when the endpoint accepts tool calls.
• target.endpoint.profile (optional): Relative quality, speed, and cost scores.
• target.endpoint.profile.quality (optional): Relative quality score for ranking.
• target.endpoint.profile.speed (optional): Relative speed score for ranking.
• target.endpoint.profile.cost (optional): Relative cost score for ranking.
• target.endpoint.class (optional): Intent-oriented class assigned to this endpoint.
• target.endpoint.serviceNames (optional): Provider-specific service name aliases keyed by protocol.
• target.endpoint.modelServiceName (optional): Canonical model-service name used for metadata lookup.
• target.endpoint.reasoningEfforts (optional): Reasoning effort values this endpoint accepts.
• target.endpoint.status (optional): Retirement status for this endpoint.
• target.endpoint.status.deprecated (optional): True when the model should no longer be selected by default.
• target.endpoint.dimension (optional): Embedding vector size when the endpoint is an embedding model.
• target.capabilities: Protocol and feature capabilities for this target.
• target.capabilities.responses: True when the model can serve the Databricks Responses API.
• target.capabilities.openResponses: True when the model can serve OpenAI Responses.
• target.capabilities.chat: True when the model can serve Chat Completions.
• target.capabilities.anthropic: True when the model can serve Anthropic Messages.
• target.capabilities.embeddings: True when the model can serve embeddings.
• target.capabilities.aiGatewayCodex: True when the model is reachable through AI Gateway Codex.
• target.capabilities.tools: True when the model accepts tools.
• target.capabilities.reasoning: True when the model accepts reasoning effort.
• target.capabilities.streaming: True when the model can stream tokens.
• target.capabilities.parallelTools: True when the model can run multiple tools in one turn.
• target.capabilities.customTools: True when the model accepts custom tool definitions.
• target.capabilities.structuredOutput: True when the model can return structured output.
• target.capabilities.webSearch: True when the model can use web search.
• target.reasoningEfforts: Reasoning effort values this target accepts.