Genkit MCP

# This file holds configuration for the genkit-schema.json file # generated by the npm export:schemas script. # DocumentData type was hand-written. DocumentData omit # Map DocumentData to Document DocumentData name Document # Code generator cannot handle "allOf" schemas. Part omit # Map DocumentPart to Part DocumentPart name Part # Tracing types were written manually. InstrumentationLibrary omit Link omit SpanContext omit SpanData omit SpanDataSameProcessAsParentSpan omit SpanDataTimeEvents omit SpanMetadata omit SpanMetadataState omit SpanStatus omit TimeEvent omit TimeEventAnnotation omit TraceData omit GenerationCommonConfig.maxOutputTokens type int GenerationCommonConfig.topK type int Role doc Role indicates which entity is responsible for the content of a message. . RoleSystem doc RoleSystem indicates this message is user-independent context. . RoleUser doc RoleUser indicates this message was generated by the client. . RoleModel doc RoleModel indicates this message was generated by the model during a previous interaction. . RoleTool doc RoleTool indicates this message was generated by a local tool, likely triggered by a request from the model in one of its previous responses. . ToolRequest.input doc Input is a JSON object describing the input values to the tool. An example might be map[string]any{"country":"USA", "president":3}. . ToolResponse.output doc Output is a JSON object describing the results of running the tool. An example might be map[string]any{"name":"Thomas Jefferson", "born":1743}. . ToolRequest doc A ToolRequest is a message from the model to the client that it should run a specific tool and pass a [ToolResponse] to the model on the next chat request it makes. Any ToolRequest will correspond to some [ToolDefinition] previously sent by the client. . ToolResponse doc A ToolResponse is a message from the client to the model containing the results of running a specific tool on the arguments passed to the client by the model in a [ToolRequest]. . Candidate omit DocumentData pkg ai GenerateResponse omit GenerateResponseChunk omit GenerateRequest omit GenerateRequestToolChoice omit GenerationUsage pkg ai GenerationUsage.inputCharacters type int GenerationUsage.inputImages type int GenerationUsage.inputAudioFiles type int GenerationUsage.inputVideos type int GenerationUsage.inputTokens type int GenerationUsage.outputCharacters type int GenerationUsage.outputImages type int GenerationUsage.outputAudioFiles type int GenerationUsage.outputVideos type int GenerationUsage.outputTokens type int GenerationUsage.totalTokens type int GenerationUsage.thoughtsTokens type int GenerationUsage.cachedContentTokens type int GenerationUsage doc GenerationUsage provides information about the generation process. . GenerationCommonConfig pkg ai Message pkg ai ToolDefinition pkg ai ToolDefinition.inputSchema type map[string]any ToolDefinition.outputSchema type map[string]any Part pkg ai TextPart pkg ai TextPart name textPart TextPart.data omit TextPart.media omit TextPart.toolRequest omit TextPart.toolResponse omit TextPart.custom omit TextPart.metadata type map[string]any TextPart.reasoning omit TextPart.resource omit MediaPart pkg ai MediaPart name mediaPart MediaPart.text omit MediaPart.toolRequest omit MediaPart.toolResponse omit MediaPart.custom omit MediaPart.data omit MediaPart.metadata type map[string]any MediaPart.reasoning omit MediaPart.resource omit ToolRequestPart pkg ai ToolRequestPart name toolRequestPart ToolRequestPart.text omit ToolRequestPart.media omit ToolRequestPart.data omit ToolRequestPart.toolResponse omit ToolRequestPart.custom omit ToolRequestPart.metadata type map[string]any ToolRequestPart.reasoning omit ToolRequestPart.resource omit ToolResponsePart pkg ai ToolResponsePart name toolResponsePart ToolResponsePart.text omit ToolResponsePart.media omit ToolResponsePart.data omit ToolResponsePart.toolRequest omit ToolResponsePart.custom omit ToolResponsePart.metadata type map[string]any ToolResponsePart.reasoning omit ToolResponsePart.resource omit DataPart pkg ai DataPart name dataPart DataPart.media omit DataPart.text omit DataPart.toolRequest omit DataPart.toolResponse omit DataPart.custom omit DataPart.metadata type map[string]any DataPart.reasoning omit DataPart.resource omit ReasoningPart pkg ai ReasoningPart name reasoningPart ReasoningPart.media omit ReasoningPart.data omit ReasoningPart.text omit ReasoningPart.toolRequest omit ReasoningPart.toolResponse omit ReasoningPart.custom omit ReasoningPart.metadata type map[string]any ReasoningPart.resource omit CustomPart pkg ai CustomPart name customPart ResourcePart pkg ai ResourcePart name resourcePart ResourcePart.text omit ResourcePart.media omit ResourcePart.toolRequest omit ResourcePart.toolResponse omit ResourcePart.custom omit ResourcePart.data omit ResourcePart.metadata type map[string]any ResourcePart.reasoning omit ResourcePart.resource type *ResourcePart # Use the auto-generated ResourcePartResource type for consistency with schema ResourcePartResource pkg ai ResourcePartResource name ResourcePart ModelInfo pkg ai ModelInfoSupports pkg ai ModelInfoSupports.output type []string ModelInfoSupports name ModelSupports ModelInfoSupportsConstrained name ConstrainedSupport ModelInfoStage name ModelStage Role pkg ai RoleUser pkg ai RoleModel pkg ai RoleTool pkg ai EvalResponse type []any # GenerateActionOptions GenerateActionOptions pkg ai GenerateActionOptions.model type string GenerateActionOptions.docs type []*Document GenerateActionOptions.messages type []*Message GenerateActionOptions.tools type []string GenerateActionOptionsToolChoice name ToolChoice GenerateActionOptions.config type any GenerateActionOptions.output type *GenerateActionOutputConfig GenerateActionOptions.returnToolRequests type bool GenerateActionOptions.maxTurns type int GenerateActionOptionsResume name GenerateActionResume # GenerateActionOutputConfig GenerateActionOutputConfig.instructions type *string GenerateActionOutputConfig.format name OutputConfigFormat GenerateActionOutputConfig.jsonSchema name Schema GenerateActionOutputConfig.jsonSchema type map[string]any GenerateActionOutputConfig.constrained type bool BaseDataPoint.context type map[string]any BaseDataPoint.input type map[string]any BaseDataPoint.output type map[string]any BaseDataPoint.reference type map[string]any BaseDataPoint.traceIds type []string BaseEvalDataPoint.context type map[string]any BaseEvalDataPoint.input type map[string]any BaseEvalDataPoint.output type map[string]any BaseEvalDataPoint.reference type map[string]any BaseEvalDataPoint.traceIds type []string # ModelRequest ModelRequest pkg ai ModelRequest.config type any ModelRequest.messages type []*Message ModelRequest.output type *ModelOutputConfig ModelRequest.tools type []*ToolDefinition ModelRequest.toolChoice type ToolChoice ModelRequest.docs type []*Document OutputConfig name ModelOutputConfig # ModelResponse ModelResponse pkg ai ModelResponse.custom type any ModelResponse.finishMessage type string ModelResponse.latencyMs type float64 ModelResponse.message type *Message ModelResponse.request type *ModelRequest ModelResponse.usage type *GenerationUsage ModelResponse.raw omit ModelResponse.operation omit # ModelResponseChunk ModelResponseChunk pkg ai ModelResponseChunk.aggregated type bool ModelResponseChunk.content type []*Part ModelResponseChunk.custom type any ModelResponseChunk.index type int ModelResponseChunk.role type Role GenerationCommonConfig doc GenerationCommonConfig holds configuration for generation. . Message doc Message is the contents of a model response. . ToolDefinition doc A ToolDefinition describes a tool. . ModelRequest doc A ModelRequest is a request to generate completions from a model. . ModelRequest.output doc Output describes the desired response format. . ModelRequest.tools doc Tools lists the available tools that the model can ask the client to run. . OutputConfig doc OutputConfig describes the structure that the model's output should conform to. If Format is [OutputFormatJSON], then Schema can describe the desired form of the generated JSON. . ModelResponse doc A ModelResponse is a model's response to a [ModelRequest]. . ModelResponse.latencyMs doc LatencyMs is the time the request took in milliseconds. . ModelResponse.request doc Request is the [ModelRequest] struct used to trigger this response. . ModelResponse.usage doc Usage describes how many resources were used by this generation request. . ModelResponseChunk doc A ModelResponseChunk is the portion of the [ModelResponse] that is passed to a streaming callback. . Score omit Operation omit OperationError omit Embedding.embedding type []float32 GenkitError omit GenkitErrorData omit GenkitErrorDataGenkitErrorDetails omit