// Copyright 2026 Google LLC
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
//     http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
//
// SPDX-License-Identifier: Apache-2.0

// This file was generated by jsonschemagen. DO NOT EDIT.

package ai

type ActionMetadata struct {
	ActionType  string `json:"actionType,omitempty"`
	Description string `json:"description,omitempty"`
	// A JSON Schema Draft 7 (http://json-schema.org/draft-07/schema) object.
	InputJsonSchema any            `json:"inputJsonSchema,omitempty"`
	InputSchema     any            `json:"inputSchema,omitempty"`
	Key             string         `json:"key,omitempty"`
	Metadata        map[string]any `json:"metadata,omitempty"`
	Name            string         `json:"name,omitempty"`
	// A JSON Schema Draft 7 (http://json-schema.org/draft-07/schema) object.
	OutputJsonSchema any `json:"outputJsonSchema,omitempty"`
	OutputSchema     any `json:"outputSchema,omitempty"`
	StreamSchema     any `json:"streamSchema,omitempty"`
}

type customPart struct {
	// Custom contains custom key-value data specific to this part.
	Custom map[string]any `json:"custom,omitempty"`
	// Data contains additional arbitrary data.
	Data any `json:"data,omitempty"`
	// Metadata contains arbitrary key-value data for this part.
	Metadata map[string]any `json:"metadata,omitempty"`
}

type dataPart struct {
	// Data contains arbitrary structured data.
	Data any `json:"data,omitempty"`
	// Metadata contains arbitrary key-value data for this part.
	Metadata map[string]any `json:"metadata,omitempty"`
}

// EmbedRequest represents a request to generate embeddings for documents.
type EmbedRequest struct {
	// Input is the array of documents to generate embeddings for.
	Input []*Document `json:"input,omitempty"`
	// Options contains embedder-specific configuration parameters.
	Options any `json:"options,omitempty"`
}

// EmbedResponse contains the generated embeddings from an embed request.
type EmbedResponse struct {
	// Embeddings is the array of generated embedding vectors with metadata.
	Embeddings []*Embedding `json:"embeddings,omitempty"`
}

// Embedding represents a vector embedding with associated metadata.
type Embedding struct {
	// Embedding is the vector representation of the input.
	Embedding []float32 `json:"embedding,omitempty"`
	// Metadata identifies which part of a document this embedding corresponds to.
	Metadata map[string]any `json:"metadata,omitempty"`
}

// FinishReason indicates why generation stopped.
type FinishReason string

const (
	FinishReasonStop        FinishReason = "stop"
	FinishReasonLength      FinishReason = "length"
	FinishReasonBlocked     FinishReason = "blocked"
	FinishReasonInterrupted FinishReason = "interrupted"
	FinishReasonOther       FinishReason = "other"
	FinishReasonUnknown     FinishReason = "unknown"
)

// GenerateActionOptions holds configuration for a generate action request.
type GenerateActionOptions struct {
	// Config contains configuration parameters for the generation request.
	Config any `json:"config,omitempty"`
	// Docs provides retrieved documents to be used as context for this generation.
	Docs []*Document `json:"docs,omitempty"`
	// MaxTurns is the maximum number of tool call iterations that can be performed
	// in a single generate call. Defaults to 5.
	MaxTurns int `json:"maxTurns,omitempty"`
	// Messages contains the conversation history for multi-turn prompting when supported.
	Messages []*Message `json:"messages,omitempty"`
	// Model is a model name (e.g., "vertexai/gemini-1.0-pro").
	Model string `json:"model,omitempty"`
	// Output specifies the desired output format. Defaults to the model's default if unspecified.
	Output    *GenerateActionOutputConfig `json:"output,omitempty"`
	Resources []string                    `json:"resources,omitempty"`
	// Resume provides options for resuming an interrupted generation.
	Resume *GenerateActionResume `json:"resume,omitempty"`
	// ReturnToolRequests, when true, returns tool calls for manual processing instead of
	// automatically resolving them.
	ReturnToolRequests bool `json:"returnToolRequests,omitempty"`
	// StepName is a custom step name for this generate call to display in trace views.
	// Defaults to "generate".
	StepName string `json:"stepName,omitempty"`
	// ToolChoice controls tool calling mode. Auto lets the model decide, required forces
	// the model to choose a tool, and none forces the model not to use any tools. Defaults to auto.
	ToolChoice ToolChoice `json:"toolChoice,omitempty"`
	// Tools is a list of registered tool names for this generation if supported.
	Tools []string `json:"tools,omitempty"`
	// Use is middleware to apply to this generation, referenced by name with optional config.
	Use []*MiddlewareRef `json:"use,omitempty"`
}

// GenerateActionResume holds options for resuming an interrupted generation.
type GenerateActionResume struct {
	// Metadata contains additional context for resuming the generation.
	Metadata map[string]any `json:"metadata,omitempty"`
	// Respond contains tool response parts to send to the model when resuming.
	Respond []*Part `json:"respond,omitempty"`
	// Restart contains tool request parts to restart when resuming.
	Restart []*Part `json:"restart,omitempty"`
}

// ToolChoice controls how the model uses tools.
type ToolChoice string

const (
	ToolChoiceAuto     ToolChoice = "auto"
	ToolChoiceRequired ToolChoice = "required"
	ToolChoiceNone     ToolChoice = "none"
)

// GenerateActionOutputConfig specifies the desired output format for a generate action.
type GenerateActionOutputConfig struct {
	// Constrained indicates whether to enforce strict adherence to the schema.
	Constrained bool `json:"constrained,omitempty"`
	// ContentType specifies the MIME type of the output content.
	ContentType string `json:"contentType,omitempty"`
	// Format specifies the desired output format (e.g., "json", "text").
	Format string `json:"format,omitempty"`
	// Instructions provides additional guidance for the output format.
	Instructions *string `json:"instructions,omitempty"`
	// JsonSchema is a JSON Schema describing the desired structure of JSON output.
	JsonSchema map[string]any `json:"jsonSchema,omitempty"`
}

// GenerationCommonConfig holds configuration parameters for model generation requests.
type GenerationCommonConfig struct {
	// API Key to use for the model call, overrides API key provided in plugin config.
	APIKey string `json:"apiKey,omitempty"`
	// MaxOutputTokens limits the maximum number of tokens generated in the response.
	MaxOutputTokens int `json:"maxOutputTokens,omitempty"`
	// StopSequences specifies sequences that will cause generation to stop when encountered.
	StopSequences []string `json:"stopSequences,omitempty"`
	// Temperature controls randomness in generation. Higher values (e.g., 0.9) make output more random,
	// while lower values (e.g., 0.1) make it more deterministic. Typical range is 0.0 to 1.0.
	Temperature float64 `json:"temperature,omitempty"`
	// TopK limits sampling to the K most likely tokens at each step.
	TopK int `json:"topK,omitempty"`
	// TopP (nucleus sampling) limits sampling to tokens whose cumulative probability exceeds P.
	TopP float64 `json:"topP,omitempty"`
	// Version specifies a particular version of a model family,
	// e.g., "gemini-1.0-pro-001" for the "gemini-1.0-pro" family.
	Version string `json:"version,omitempty"`
}

// GenerationUsage provides information about resource consumption during generation.
type GenerationUsage struct {
	// CachedContentTokens counts tokens that were served from cache.
	CachedContentTokens int `json:"cachedContentTokens,omitempty"`
	// Custom contains additional usage metrics specific to the model provider.
	Custom map[string]float64 `json:"custom,omitempty"`
	// InputAudioFiles is the number of audio files in the input.
	InputAudioFiles int `json:"inputAudioFiles,omitempty"`
	// InputCharacters is the number of characters in the input.
	InputCharacters int `json:"inputCharacters,omitempty"`
	// InputImages is the number of images in the input.
	InputImages int `json:"inputImages,omitempty"`
	// InputTokens is the number of tokens in the input prompt.
	InputTokens int `json:"inputTokens,omitempty"`
	// InputVideos is the number of videos in the input.
	InputVideos int `json:"inputVideos,omitempty"`
	// OutputAudioFiles is the number of audio files generated in the output.
	OutputAudioFiles int `json:"outputAudioFiles,omitempty"`
	// OutputCharacters is the number of characters generated in the output.
	OutputCharacters int `json:"outputCharacters,omitempty"`
	// OutputImages is the number of images generated in the output.
	OutputImages int `json:"outputImages,omitempty"`
	// OutputTokens is the number of tokens generated in the response.
	OutputTokens int `json:"outputTokens,omitempty"`
	// OutputVideos is the number of videos generated in the output.
	OutputVideos int `json:"outputVideos,omitempty"`
	// ThoughtsTokens counts tokens used in reasoning or thinking processes.
	ThoughtsTokens int `json:"thoughtsTokens,omitempty"`
	// TotalTokens is the sum of input and output tokens.
	TotalTokens int `json:"totalTokens,omitempty"`
}

// Media represents media content with a URL and content type.
type Media struct {
	// ContentType specifies the MIME type of the media. Inferred from the data URI if not provided.
	ContentType string `json:"contentType,omitempty"`
	// Url is a "data:" or "https:" URI containing the media content.
	Url string `json:"url,omitempty"`
}

type mediaPart struct {
	// Media contains the media content and metadata.
	Media *Media `json:"media,omitempty"`
	// Metadata contains arbitrary key-value data for this part.
	Metadata map[string]any `json:"metadata,omitempty"`
}

// Message represents the contents of a model message in a conversation.
type Message struct {
	// Content holds the message parts (text, media, tool calls, etc.).
	Content []*Part `json:"content,omitempty"`
	// Metadata contains arbitrary key-value data associated with this message.
	Metadata map[string]any `json:"metadata,omitempty"`
	// Role indicates which entity (system, user, model, or tool) generated this message.
	Role Role `json:"role,omitempty"`
}

// MiddlewareDesc is the registered descriptor for a middleware.
type MiddlewareDesc struct {
	// ConfigSchema is a JSON Schema describing the middleware's configuration.
	ConfigSchema map[string]any `json:"configSchema,omitempty"`
	// Description explains what the middleware does.
	Description string `json:"description,omitempty"`
	// Metadata contains additional context for the middleware.
	Metadata map[string]any `json:"metadata,omitempty"`
	// Name is the middleware's unique identifier.
	Name          string `json:"name,omitempty"`
	buildFromJSON middlewareFactoryFunc
}

// MiddlewareRef is a serializable reference to a registered middleware with config.
type MiddlewareRef struct {
	// Config contains the middleware configuration.
	Config any `json:"config,omitempty"`
	// Name is the name of the registered middleware.
	Name string `json:"name,omitempty"`
}

// ModelInfo contains metadata about a model's capabilities and characteristics.
type ModelInfo struct {
	// ConfigSchema defines the model-specific configuration schema.
	ConfigSchema map[string]any `json:"configSchema,omitempty"`
	// Label is a friendly display name for this model (e.g., "Google AI - Gemini Pro").
	Label string `json:"label,omitempty"`
	// Stage indicates the development stage of this model.
	// Featured models are recommended for general use, stable models are well-tested,
	// unstable models are experimental, legacy models are not recommended for new projects,
	// and deprecated models may be removed in future versions.
	Stage ModelStage `json:"stage,omitempty"`
	// Supports describes the capabilities that this model supports.
	Supports *ModelSupports `json:"supports,omitempty"`
	// Versions lists acceptable names for this model (e.g., different versions).
	Versions []string `json:"versions,omitempty"`
}

// ModelStage indicates the development stage of a model.
type ModelStage string

const (
	ModelStageFeatured   ModelStage = "featured"
	ModelStageStable     ModelStage = "stable"
	ModelStageUnstable   ModelStage = "unstable"
	ModelStageLegacy     ModelStage = "legacy"
	ModelStageDeprecated ModelStage = "deprecated"
)

// ModelSupports describes the capabilities that a model supports.
type ModelSupports struct {
	// Constrained indicates the level of constrained generation support (none, all, or no-tools).
	Constrained ConstrainedSupport `json:"constrained,omitempty"`
	// ContentType lists the content types the model supports for output.
	ContentType []string `json:"contentType,omitempty"`
	// Context indicates whether the model can natively support document-based context grounding.
	Context bool `json:"context,omitempty"`
	// LongRunning indicates whether the model supports long-running operations.
	LongRunning bool `json:"longRunning,omitempty"`
	// Media indicates whether the model can process media as part of the prompt (multimodal input).
	Media bool `json:"media,omitempty"`
	// Multiturn indicates whether the model can process historical messages passed with a prompt.
	Multiturn bool `json:"multiturn,omitempty"`
	// Output lists the types of data the model can generate.
	Output []string `json:"output,omitempty"`
	// SystemRole indicates whether the model can accept messages with role "system".
	SystemRole bool `json:"systemRole,omitempty"`
	// ToolChoice indicates whether the model supports controlling tool choice (e.g., forced tool calling).
	ToolChoice bool `json:"toolChoice,omitempty"`
	// Tools indicates whether the model can perform tool calls.
	Tools bool `json:"tools,omitempty"`
}

// ConstrainedSupport indicates the level of constrained generation support.
type ConstrainedSupport string

const (
	ConstrainedSupportNone    ConstrainedSupport = "none"
	ConstrainedSupportAll     ConstrainedSupport = "all"
	ConstrainedSupportNoTools ConstrainedSupport = "no-tools"
)

type ModelReference struct {
	Config any    `json:"config,omitempty"`
	Name   string `json:"name,omitempty"`
}

// A ModelRequest is a request to generate completions from a model.
type ModelRequest struct {
	// Config holds model-specific configuration parameters.
	Config any `json:"config,omitempty"`
	// Docs provides retrieved documents to be used as context for this generation.
	Docs []*Document `json:"docs,omitempty"`
	// Messages contains the conversation history for the model.
	Messages []*Message `json:"messages,omitempty"`
	// Output describes the desired response format.
	Output *ModelOutputConfig `json:"output,omitempty"`
	// ToolChoice controls how the model uses tools (auto, required, or none).
	ToolChoice ToolChoice `json:"toolChoice,omitempty"`
	// Tools lists the available tools that the model can ask the client to run.
	Tools []*ToolDefinition `json:"tools,omitempty"`
}

// A ModelResponse is a model's response to a ModelRequest.
type ModelResponse struct {
	// Custom contains model-specific extra information. Deprecated: use Raw instead.
	Custom any `json:"custom,omitempty"`
	// FinishMessage provides additional details about why generation finished.
	FinishMessage string `json:"finishMessage,omitempty"`
	// FinishReason indicates why generation stopped (e.g., stop, length, blocked).
	FinishReason FinishReason `json:"finishReason,omitempty"`
	// LatencyMs is the time the request took in milliseconds.
	LatencyMs float64 `json:"latencyMs,omitempty"`
	// Message contains the generated response content.
	Message *Message `json:"message,omitempty"`
	// Operation provides information about a long-running background task if applicable.
	Operation *Operation `json:"operation,omitempty"`
	// Raw contains the unprocessed model-specific response data.
	Raw any `json:"raw,omitempty"`
	// Request is the ModelRequest struct used to trigger this response.
	Request *ModelRequest `json:"request,omitempty"`
	// Usage describes how many resources were used by this generation request.
	Usage         *GenerationUsage `json:"usage,omitempty"`
	formatHandler StreamingFormatHandler
}

// A ModelResponseChunk is the portion of the ModelResponse
// that is passed to a streaming callback.
type ModelResponseChunk struct {
	// Aggregated indicates whether the chunk includes all data from previous chunks.
	// If false, the chunk is considered incremental.
	Aggregated bool `json:"aggregated,omitempty"`
	// Content is the chunk of message parts to stream right now.
	Content []*Part `json:"content,omitempty"`
	// Custom contains model-specific extra information attached to this chunk.
	Custom any `json:"custom,omitempty"`
	// Index of the message this chunk belongs to.
	Index int `json:"index"`
	// Role indicates the entity that generated this chunk.
	Role          Role `json:"role,omitempty"`
	formatHandler StreamingFormatHandler
}

// MultipartToolResponse represents a tool response with both structured output and content parts.
type MultipartToolResponse struct {
	// Content holds additional message parts providing context or details.
	Content  []*Part        `json:"content,omitempty"`
	Metadata map[string]any `json:"metadata,omitempty"`
	// Output contains the structured output data from the tool.
	Output any `json:"output,omitempty"`
}

// Operation represents a long-running background task.
type Operation struct {
	// Action is the name of the action being performed by this operation.
	Action string `json:"action"`
	// Done indicates whether the operation has completed.
	Done bool `json:"done"`
	// Error contains error information if the operation failed.
	Error *OperationError `json:"error,omitempty"`
	// Id is the unique identifier for this operation.
	Id string `json:"id"`
	// Metadata contains additional information about the operation.
	Metadata map[string]any `json:"metadata,omitempty"`
	// Output contains the result of the operation if it has completed successfully.
	Output any `json:"output,omitempty"`
}

// OperationError contains error information for a failed operation.
type OperationError struct {
	// Message describes the error that occurred.
	Message string `json:"message,omitempty"`
}

// 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.
type ModelOutputConfig struct {
	// Constrained indicates whether to enforce strict adherence to the schema.
	Constrained bool `json:"constrained,omitempty"`
	// ContentType specifies the MIME type of the output content.
	ContentType string `json:"contentType,omitempty"`
	// Format specifies the desired output format (e.g., "json", "text").
	Format string `json:"format,omitempty"`
	// Schema is a JSON Schema describing the desired structure of the output.
	Schema map[string]any `json:"schema,omitempty"`
}

// PathMetadata contains metadata about a single execution path in a trace.
type PathMetadata struct {
	// Error contains error information if the path failed.
	Error string `json:"error,omitempty"`
	// Latency is the execution time for this path in milliseconds.
	Latency float64 `json:"latency,omitempty"`
	// Path is the identifier for this execution path.
	Path string `json:"path,omitempty"`
	// Status indicates the outcome of this path.
	Status string `json:"status,omitempty"`
}

// RankedDocumentData represents a document with a relevance score from reranking.
type RankedDocumentData struct {
	// Content holds the document's parts (text and media).
	Content []*Part `json:"content,omitempty"`
	// Metadata contains the reranking score and other arbitrary key-value data.
	Metadata *RankedDocumentMetadata `json:"metadata,omitempty"`
}

// RankedDocumentMetadata contains the relevance score and other metadata for a reranked document.
type RankedDocumentMetadata struct {
	// Score is the relevance score assigned by the reranker.
	Score float64 `json:"score,omitempty"`
}

type reasoningPart struct {
	// Metadata contains arbitrary key-value data for this part.
	Metadata map[string]any `json:"metadata,omitempty"`
	// Reasoning contains the reasoning text of the message.
	Reasoning string `json:"reasoning,omitempty"`
}

// RerankerRequest represents a request to rerank documents based on relevance.
type RerankerRequest struct {
	// Documents is the array of documents to rerank.
	Documents []*Document `json:"documents,omitempty"`
	// Options contains reranker-specific configuration parameters.
	Options any `json:"options,omitempty"`
	// Query is the document to use for reranking.
	Query *Document `json:"query,omitempty"`
}

// RerankerResponse contains the reranked documents with relevance scores.
type RerankerResponse struct {
	// Documents is the array of reranked documents with scores.
	Documents []*RankedDocumentData `json:"documents,omitempty"`
}

type resourcePart struct {
	// Metadata contains arbitrary key-value data for this part.
	Metadata map[string]any `json:"metadata,omitempty"`
	// Resource contains a reference to an external resource by URI.
	Resource *ResourcePart `json:"resource,omitempty"`
}

type ResourcePart struct {
	// Uri is the URI of the external resource.
	Uri string `json:"uri,omitempty"`
}

// RetrieverRequest represents a request to retrieve relevant documents.
type RetrieverRequest struct {
	// Options contains retriever-specific configuration parameters.
	Options any `json:"options,omitempty"`
	// Query is the document to use for retrieval.
	Query *Document `json:"query,omitempty"`
}

// RetrieverResponse contains the retrieved documents from a retriever request.
type RetrieverResponse struct {
	// Documents is the array of retrieved documents.
	Documents []*Document `json:"documents,omitempty"`
}

// Role indicates which entity is responsible for the content of a message.
type Role string

const (
	// RoleSystem indicates this message is user-independent context.
	RoleSystem Role = "system"
	// RoleUser indicates this message was generated by the client.
	RoleUser Role = "user"
	// RoleModel indicates this message was generated by the model during a previous interaction.
	RoleModel Role = "model"
	// RoleTool indicates this message was generated by a local tool, likely triggered by a request
	// from the model in one of its previous responses.
	RoleTool Role = "tool"
)

// ScoreDetails provides additional context and explanation for an evaluation score.
type ScoreDetails struct {
	// Reasoning explains the rationale behind the score.
	Reasoning string `json:"reasoning,omitempty"`
}

type textPart struct {
	// Metadata contains arbitrary key-value data for this part.
	Metadata map[string]any `json:"metadata,omitempty"`
	// Text contains the textual content.
	Text string `json:"text,omitempty"`
}

// A ToolDefinition describes a tool.
type ToolDefinition struct {
	// Description explains what the tool does and when to use it.
	Description string `json:"description,omitempty"`
	// InputSchema is a valid JSON Schema representing the input parameters of the tool.
	InputSchema map[string]any `json:"inputSchema,omitempty"`
	Key         string         `json:"key,omitempty"`
	// Metadata contains additional information about this tool definition.
	Metadata map[string]any `json:"metadata,omitempty"`
	// Name is the unique identifier for this tool.
	Name string `json:"name,omitempty"`
	// OutputSchema is a valid JSON Schema describing the output of the tool.
	OutputSchema map[string]any `json:"outputSchema,omitempty"`
}

// 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.
type ToolRequest struct {
	// Input is a JSON object containing the input parameters for the tool.
	// For example: map[string]any{"country":"USA", "president":3}.
	Input any `json:"input,omitempty"`
	// Name is the name of the tool to call.
	Name string `json:"name,omitempty"`
	// Partial indicates whether this is a partial streaming chunk.
	Partial bool `json:"partial,omitempty"`
	// Ref is the call ID or reference for this specific request.
	Ref string `json:"ref,omitempty"`
}

type toolRequestPart struct {
	// Metadata contains arbitrary key-value data for this part.
	Metadata map[string]any `json:"metadata,omitempty"`
	// ToolRequest is a request for a tool to be executed, usually provided by a model.
	ToolRequest *ToolRequest `json:"toolRequest,omitempty"`
}

// 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.
type ToolResponse struct {
	// Content holds additional message parts that provide context or details about the tool response.
	Content []*Part `json:"content,omitempty"`
	// Name is the name of the tool that was executed.
	Name string `json:"name,omitempty"`
	// Output is a JSON object describing the results of running the tool.
	// For example: map[string]any{"name":"Thomas Jefferson", "born":1743}.
	Output any `json:"output,omitempty"`
	// Ref is the call ID or reference matching the original request.
	Ref string `json:"ref,omitempty"`
}

type toolResponsePart struct {
	// Metadata contains arbitrary key-value data for this part.
	Metadata map[string]any `json:"metadata,omitempty"`
	// ToolResponse is a provided response to a tool call.
	ToolResponse *ToolResponse `json:"toolResponse,omitempty"`
}

// TraceMetadata contains metadata about a trace execution.
type TraceMetadata struct {
	// FeatureName identifies the feature being traced.
	FeatureName string `json:"featureName,omitempty"`
	// Paths contains metadata for each path executed during the trace.
	Paths []*PathMetadata `json:"paths,omitempty"`
	// Timestamp is when the trace was created.
	Timestamp float64 `json:"timestamp,omitempty"`
}
