llama-stack/docs/_static/llama-stack-spec.html
2025-02-11 10:36:33 -08:00

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<!DOCTYPE html>
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<title>OpenAPI specification</title>
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const spec = {
"openapi": "3.1.0",
"info": {
"title": "Llama Stack Specification",
"version": "v1",
"description": "This is the specification of the Llama Stack that provides\n a set of endpoints and their corresponding interfaces that are tailored to\n best leverage Llama Models."
},
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"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/ToolGroup"
}
}
}
}
},
"tags": [
"ToolGroups"
],
"description": "",
"parameters": [
{
"name": "toolgroup_id",
"in": "path",
"required": true,
"schema": {
"type": "string"
}
}
]
},
"delete": {
"responses": {
"200": {
"description": "OK"
}
},
"tags": [
"ToolGroups"
],
"description": "Unregister a tool group",
"parameters": [
{
"name": "toolgroup_id",
"in": "path",
"required": true,
"schema": {
"type": "string"
}
}
]
}
},
"/v1/telemetry/traces/{trace_id}": {
"get": {
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/Trace"
}
}
}
}
},
"tags": [
"Telemetry"
],
"description": "",
"parameters": [
{
"name": "trace_id",
"in": "path",
"required": true,
"schema": {
"type": "string"
}
}
]
}
},
"/v1/post-training/job/artifacts": {
"get": {
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"oneOf": [
{
"type": "object",
"properties": {
"job_uuid": {
"type": "string"
},
"checkpoints": {
"type": "array",
"items": {
"$ref": "#/components/schemas/Checkpoint"
}
},
"metrics": {
"type": "array",
"items": {
"$ref": "#/components/schemas/MetricEvent"
}
}
},
"additionalProperties": false,
"required": [
"job_uuid",
"checkpoints"
]
},
{
"type": "null"
}
]
}
}
}
}
},
"tags": [
"PostTraining (Coming Soon)"
],
"description": "",
"parameters": [
{
"name": "job_uuid",
"in": "query",
"required": true,
"schema": {
"type": "string"
}
}
]
}
},
"/v1/post-training/job/status": {
"get": {
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"oneOf": [
{
"type": "object",
"properties": {
"job_uuid": {
"type": "string"
},
"status": {
"$ref": "#/components/schemas/JobStatus"
},
"scheduled_at": {
"type": "string",
"format": "date-time"
},
"started_at": {
"type": "string",
"format": "date-time"
},
"completed_at": {
"type": "string",
"format": "date-time"
},
"resources_allocated": {
"type": "object",
"additionalProperties": {
"oneOf": [
{
"type": "null"
},
{
"type": "boolean"
},
{
"type": "number"
},
{
"type": "string"
},
{
"type": "array"
},
{
"type": "object"
}
]
}
},
"checkpoints": {
"type": "array",
"items": {
"$ref": "#/components/schemas/Checkpoint"
}
},
"metrics": {
"type": "array",
"items": {
"$ref": "#/components/schemas/MetricEvent"
}
}
},
"additionalProperties": false,
"required": [
"job_uuid",
"status",
"checkpoints"
]
},
{
"type": "null"
}
]
}
}
}
}
},
"tags": [
"PostTraining (Coming Soon)"
],
"description": "",
"parameters": [
{
"name": "job_uuid",
"in": "query",
"required": true,
"schema": {
"type": "string"
}
}
]
}
},
"/v1/post-training/jobs": {
"get": {
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/ListPostTrainingJobsResponse"
}
}
}
}
},
"tags": [
"PostTraining (Coming Soon)"
],
"description": "",
"parameters": []
}
},
"/v1/vector-dbs/{vector_db_id}": {
"get": {
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"oneOf": [
{
"type": "object",
"properties": {
"identifier": {
"type": "string"
},
"provider_resource_id": {
"type": "string"
},
"provider_id": {
"type": "string"
},
"type": {
"type": "string",
"const": "vector_db",
"default": "vector_db"
},
"embedding_model": {
"type": "string"
},
"embedding_dimension": {
"type": "integer"
},
"metrics": {
"type": "array",
"items": {
"$ref": "#/components/schemas/MetricEvent"
}
}
},
"additionalProperties": false,
"required": [
"identifier",
"provider_resource_id",
"provider_id",
"type",
"embedding_model",
"embedding_dimension"
]
},
{
"type": "null"
}
]
}
}
}
}
},
"tags": [
"VectorDBs"
],
"description": "",
"parameters": [
{
"name": "vector_db_id",
"in": "path",
"required": true,
"schema": {
"type": "string"
}
}
]
},
"delete": {
"responses": {
"200": {
"description": "OK"
}
},
"tags": [
"VectorDBs"
],
"description": "",
"parameters": [
{
"name": "vector_db_id",
"in": "path",
"required": true,
"schema": {
"type": "string"
}
}
]
}
},
"/v1/health": {
"get": {
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/HealthInfo"
}
}
}
}
},
"tags": [
"Inspect"
],
"description": "",
"parameters": []
}
},
"/v1/tool-runtime/rag-tool/insert": {
"post": {
"responses": {
"200": {
"description": "OK"
}
},
"tags": [
"ToolRuntime"
],
"description": "Index documents so they can be used by the RAG system",
"parameters": [],
"requestBody": {
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/InsertRequest"
}
}
},
"required": true
}
}
},
"/v1/vector-io/insert": {
"post": {
"responses": {
"200": {
"description": "OK"
}
},
"tags": [
"VectorIO"
],
"description": "",
"parameters": [],
"requestBody": {
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/InsertChunksRequest"
}
}
},
"required": true
}
}
},
"/v1/tool-runtime/invoke": {
"post": {
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/ToolInvocationResult"
}
}
}
}
},
"tags": [
"ToolRuntime"
],
"description": "Run a tool with the given arguments",
"parameters": [],
"requestBody": {
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/InvokeToolRequest"
}
}
},
"required": true
}
}
},
"/v1/eval/tasks/{task_id}/jobs/{job_id}": {
"get": {
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"oneOf": [
{
"$ref": "#/components/schemas/JobStatus"
},
{
"type": "null"
}
]
}
}
}
}
},
"tags": [
"Eval"
],
"description": "",
"parameters": [
{
"name": "task_id",
"in": "path",
"required": true,
"schema": {
"type": "string"
}
},
{
"name": "job_id",
"in": "path",
"required": true,
"schema": {
"type": "string"
}
}
]
},
"delete": {
"responses": {
"200": {
"description": "OK"
}
},
"tags": [
"Eval"
],
"description": "",
"parameters": [
{
"name": "task_id",
"in": "path",
"required": true,
"schema": {
"type": "string"
}
},
{
"name": "job_id",
"in": "path",
"required": true,
"schema": {
"type": "string"
}
}
]
}
},
"/v1/eval/tasks/{task_id}/jobs/{job_id}/result": {
"get": {
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/EvaluateResponse"
}
}
}
}
},
"tags": [
"Eval"
],
"description": "",
"parameters": [
{
"name": "job_id",
"in": "path",
"required": true,
"schema": {
"type": "string"
}
},
{
"name": "task_id",
"in": "path",
"required": true,
"schema": {
"type": "string"
}
}
]
}
},
"/v1/datasets": {
"get": {
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/ListDatasetsResponse"
}
}
}
}
},
"tags": [
"Datasets"
],
"description": "",
"parameters": []
},
"post": {
"responses": {
"200": {
"description": "OK"
}
},
"tags": [
"Datasets"
],
"description": "",
"parameters": [],
"requestBody": {
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/RegisterDatasetRequest"
}
}
},
"required": true
}
}
},
"/v1/eval-tasks": {
"get": {
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/ListEvalTasksResponse"
}
}
}
}
},
"tags": [
"EvalTasks"
],
"description": "",
"parameters": []
},
"post": {
"responses": {
"200": {
"description": "OK"
}
},
"tags": [
"EvalTasks"
],
"description": "",
"parameters": [],
"requestBody": {
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/RegisterEvalTaskRequest"
}
}
},
"required": true
}
}
},
"/v1/models": {
"get": {
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/ListModelsResponse"
}
}
}
}
},
"tags": [
"Models"
],
"description": "",
"parameters": []
},
"post": {
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/Model"
}
}
}
}
},
"tags": [
"Models"
],
"description": "",
"parameters": [],
"requestBody": {
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/RegisterModelRequest"
}
}
},
"required": true
}
}
},
"/v1/inspect/providers": {
"get": {
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/ListProvidersResponse"
}
}
}
}
},
"tags": [
"Inspect"
],
"description": "",
"parameters": []
}
},
"/v1/inspect/routes": {
"get": {
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/ListRoutesResponse"
}
}
}
}
},
"tags": [
"Inspect"
],
"description": "",
"parameters": []
}
},
"/v1/tool-runtime/list-tools": {
"get": {
"responses": {
"200": {
"description": "OK",
"content": {
"application/jsonl": {
"schema": {
"$ref": "#/components/schemas/ToolDef"
}
}
}
}
},
"tags": [
"ToolRuntime"
],
"description": "",
"parameters": [
{
"name": "tool_group_id",
"in": "query",
"required": false,
"schema": {
"type": "string"
}
},
{
"name": "mcp_endpoint",
"in": "query",
"required": false,
"schema": {
"$ref": "#/components/schemas/URL"
}
}
]
}
},
"/v1/scoring-functions": {
"get": {
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/ListScoringFunctionsResponse"
}
}
}
}
},
"tags": [
"ScoringFunctions"
],
"description": "",
"parameters": []
},
"post": {
"responses": {
"200": {
"description": "OK"
}
},
"tags": [
"ScoringFunctions"
],
"description": "",
"parameters": [],
"requestBody": {
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/RegisterScoringFunctionRequest"
}
}
},
"required": true
}
}
},
"/v1/shields": {
"get": {
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/ListShieldsResponse"
}
}
}
}
},
"tags": [
"Shields"
],
"description": "",
"parameters": []
},
"post": {
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/Shield"
}
}
}
}
},
"tags": [
"Shields"
],
"description": "",
"parameters": [],
"requestBody": {
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/RegisterShieldRequest"
}
}
},
"required": true
}
}
},
"/v1/toolgroups": {
"get": {
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/ListToolGroupsResponse"
}
}
}
}
},
"tags": [
"ToolGroups"
],
"description": "List tool groups with optional provider",
"parameters": []
},
"post": {
"responses": {
"200": {
"description": "OK"
}
},
"tags": [
"ToolGroups"
],
"description": "Register a tool group",
"parameters": [],
"requestBody": {
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/RegisterToolGroupRequest"
}
}
},
"required": true
}
}
},
"/v1/tools": {
"get": {
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/ListToolsResponse"
}
}
}
}
},
"tags": [
"ToolGroups"
],
"description": "List tools with optional tool group",
"parameters": [
{
"name": "toolgroup_id",
"in": "query",
"required": false,
"schema": {
"type": "string"
}
}
]
}
},
"/v1/vector-dbs": {
"get": {
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/ListVectorDBsResponse"
}
}
}
}
},
"tags": [
"VectorDBs"
],
"description": "",
"parameters": []
},
"post": {
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/VectorDB"
}
}
}
}
},
"tags": [
"VectorDBs"
],
"description": "",
"parameters": [],
"requestBody": {
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/RegisterVectorDbRequest"
}
}
},
"required": true
}
}
},
"/v1/telemetry/events": {
"post": {
"responses": {
"200": {
"description": "OK"
}
},
"tags": [
"Telemetry"
],
"description": "",
"parameters": [],
"requestBody": {
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/LogEventRequest"
}
}
},
"required": true
}
}
},
"/v1/post-training/preference-optimize": {
"post": {
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/PostTrainingJob"
}
}
}
}
},
"tags": [
"PostTraining (Coming Soon)"
],
"description": "",
"parameters": [],
"requestBody": {
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/PreferenceOptimizeRequest"
}
}
},
"required": true
}
}
},
"/v1/tool-runtime/rag-tool/query": {
"post": {
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/RAGQueryResult"
}
}
}
}
},
"tags": [
"ToolRuntime"
],
"description": "Query the RAG system for context; typically invoked by the agent",
"parameters": [],
"requestBody": {
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/QueryRequest"
}
}
},
"required": true
}
}
},
"/v1/vector-io/query": {
"post": {
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/QueryChunksResponse"
}
}
}
}
},
"tags": [
"VectorIO"
],
"description": "",
"parameters": [],
"requestBody": {
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/QueryChunksRequest"
}
}
},
"required": true
}
}
},
"/v1/telemetry/spans": {
"get": {
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/QuerySpansResponse"
}
}
}
}
},
"tags": [
"Telemetry"
],
"description": "",
"parameters": [
{
"name": "attribute_filters",
"in": "query",
"required": true,
"schema": {
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"items": {
"$ref": "#/components/schemas/QueryCondition"
}
}
},
{
"name": "attributes_to_return",
"in": "query",
"required": true,
"schema": {
"type": "array",
"items": {
"type": "string"
}
}
},
{
"name": "max_depth",
"in": "query",
"required": false,
"schema": {
"type": "integer"
}
}
]
}
},
"/v1/telemetry/traces": {
"get": {
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/QueryTracesResponse"
}
}
}
}
},
"tags": [
"Telemetry"
],
"description": "",
"parameters": [
{
"name": "attribute_filters",
"in": "query",
"required": false,
"schema": {
"type": "array",
"items": {
"$ref": "#/components/schemas/QueryCondition"
}
}
},
{
"name": "limit",
"in": "query",
"required": false,
"schema": {
"type": "integer"
}
},
{
"name": "offset",
"in": "query",
"required": false,
"schema": {
"type": "integer"
}
},
{
"name": "order_by",
"in": "query",
"required": false,
"schema": {
"type": "array",
"items": {
"type": "string"
}
}
}
]
}
},
"/v1/eval/tasks/{task_id}/jobs": {
"post": {
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/Job"
}
}
}
}
},
"tags": [
"Eval"
],
"description": "",
"parameters": [
{
"name": "task_id",
"in": "path",
"required": true,
"schema": {
"type": "string"
}
}
],
"requestBody": {
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/RunEvalRequest"
}
}
},
"required": true
}
}
},
"/v1/safety/run-shield": {
"post": {
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/RunShieldResponse"
}
}
}
}
},
"tags": [
"Safety"
],
"description": "",
"parameters": [],
"requestBody": {
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/RunShieldRequest"
}
}
},
"required": true
}
}
},
"/v1/telemetry/spans/export": {
"post": {
"responses": {
"200": {
"description": "OK"
}
},
"tags": [
"Telemetry"
],
"description": "",
"parameters": [],
"requestBody": {
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/SaveSpansToDatasetRequest"
}
}
},
"required": true
}
}
},
"/v1/scoring/score": {
"post": {
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/ScoreResponse"
}
}
}
}
},
"tags": [
"Scoring"
],
"description": "",
"parameters": [],
"requestBody": {
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/ScoreRequest"
}
}
},
"required": true
}
}
},
"/v1/scoring/score-batch": {
"post": {
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/ScoreBatchResponse"
}
}
}
}
},
"tags": [
"Scoring"
],
"description": "",
"parameters": [],
"requestBody": {
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/ScoreBatchRequest"
}
}
},
"required": true
}
}
},
"/v1/post-training/supervised-fine-tune": {
"post": {
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/PostTrainingJob"
}
}
}
}
},
"tags": [
"PostTraining (Coming Soon)"
],
"description": "",
"parameters": [],
"requestBody": {
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/SupervisedFineTuneRequest"
}
}
},
"required": true
}
}
},
"/v1/synthetic-data-generation/generate": {
"post": {
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/SyntheticDataGenerationResponse"
}
}
}
}
},
"tags": [
"SyntheticDataGeneration (Coming Soon)"
],
"description": "",
"parameters": [],
"requestBody": {
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/SyntheticDataGenerateRequest"
}
}
},
"required": true
}
}
},
"/v1/version": {
"get": {
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/VersionInfo"
}
}
}
}
},
"tags": [
"Inspect"
],
"description": "",
"parameters": []
}
}
},
"jsonSchemaDialect": "https://json-schema.org/draft/2020-12/schema",
"components": {
"schemas": {
"AppendRowsRequest": {
"type": "object",
"properties": {
"dataset_id": {
"type": "string"
},
"rows": {
"type": "array",
"items": {
"type": "object",
"additionalProperties": {
"oneOf": [
{
"type": "null"
},
{
"type": "boolean"
},
{
"type": "number"
},
{
"type": "string"
},
{
"type": "array"
},
{
"type": "object"
}
]
}
}
}
},
"additionalProperties": false,
"required": [
"dataset_id",
"rows"
]
},
"CompletionMessage": {
"type": "object",
"properties": {
"role": {
"type": "string",
"const": "assistant",
"default": "assistant",
"description": "Must be \"assistant\" to identify this as the model's response"
},
"content": {
"$ref": "#/components/schemas/InterleavedContent",
"description": "The content of the model's response"
},
"stop_reason": {
"type": "string",
"enum": [
"end_of_turn",
"end_of_message",
"out_of_tokens"
],
"description": "Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."
},
"tool_calls": {
"type": "array",
"items": {
"$ref": "#/components/schemas/ToolCall"
},
"description": "List of tool calls. Each tool call is a ToolCall object."
}
},
"additionalProperties": false,
"required": [
"role",
"content",
"stop_reason"
],
"description": "A message containing the model's (assistant) response in a chat conversation."
},
"GrammarResponseFormat": {
"type": "object",
"properties": {
"type": {
"type": "string",
"const": "grammar",
"default": "grammar",
"description": "Must be \"grammar\" to identify this format type"
},
"bnf": {
"type": "object",
"additionalProperties": {
"oneOf": [
{
"type": "null"
},
{
"type": "boolean"
},
{
"type": "number"
},
{
"type": "string"
},
{
"type": "array"
},
{
"type": "object"
}
]
},
"description": "The BNF grammar specification the response should conform to"
}
},
"additionalProperties": false,
"required": [
"type",
"bnf"
],
"description": "Configuration for grammar-guided response generation."
},
"GreedySamplingStrategy": {
"type": "object",
"properties": {
"type": {
"type": "string",
"const": "greedy",
"default": "greedy"
}
},
"additionalProperties": false,
"required": [
"type"
]
},
"ImageContentItem": {
"type": "object",
"properties": {
"type": {
"type": "string",
"const": "image",
"default": "image",
"description": "Discriminator type of the content item. Always \"image\""
},
"image": {
"type": "object",
"properties": {
"url": {
"$ref": "#/components/schemas/URL",
"description": "A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits."
},
"data": {
"type": "string",
"contentEncoding": "base64",
"description": "base64 encoded image data as string"
}
},
"additionalProperties": false,
"description": "Image as a base64 encoded string or an URL"
}
},
"additionalProperties": false,
"required": [
"type",
"image"
],
"description": "A image content item"
},
"InterleavedContent": {
"oneOf": [
{
"type": "string"
},
{
"$ref": "#/components/schemas/InterleavedContentItem"
},
{
"type": "array",
"items": {
"$ref": "#/components/schemas/InterleavedContentItem"
}
}
]
},
"InterleavedContentItem": {
"oneOf": [
{
"$ref": "#/components/schemas/ImageContentItem"
},
{
"$ref": "#/components/schemas/TextContentItem"
}
],
"discriminator": {
"propertyName": "type",
"mapping": {
"image": "#/components/schemas/ImageContentItem",
"text": "#/components/schemas/TextContentItem"
}
}
},
"JsonSchemaResponseFormat": {
"type": "object",
"properties": {
"type": {
"type": "string",
"const": "json_schema",
"default": "json_schema",
"description": "Must be \"json_schema\" to identify this format type"
},
"json_schema": {
"type": "object",
"additionalProperties": {
"oneOf": [
{
"type": "null"
},
{
"type": "boolean"
},
{
"type": "number"
},
{
"type": "string"
},
{
"type": "array"
},
{
"type": "object"
}
]
},
"description": "The JSON schema the response should conform to. In a Python SDK, this is often a `pydantic` model."
}
},
"additionalProperties": false,
"required": [
"type",
"json_schema"
],
"description": "Configuration for JSON schema-guided response generation."
},
"Message": {
"oneOf": [
{
"$ref": "#/components/schemas/UserMessage"
},
{
"$ref": "#/components/schemas/SystemMessage"
},
{
"$ref": "#/components/schemas/ToolResponseMessage"
},
{
"$ref": "#/components/schemas/CompletionMessage"
}
],
"discriminator": {
"propertyName": "role",
"mapping": {
"user": "#/components/schemas/UserMessage",
"system": "#/components/schemas/SystemMessage",
"tool": "#/components/schemas/ToolResponseMessage",
"assistant": "#/components/schemas/CompletionMessage"
}
}
},
"ResponseFormat": {
"oneOf": [
{
"$ref": "#/components/schemas/JsonSchemaResponseFormat"
},
{
"$ref": "#/components/schemas/GrammarResponseFormat"
}
],
"discriminator": {
"propertyName": "type",
"mapping": {
"json_schema": "#/components/schemas/JsonSchemaResponseFormat",
"grammar": "#/components/schemas/GrammarResponseFormat"
}
}
},
"SamplingParams": {
"type": "object",
"properties": {
"strategy": {
"$ref": "#/components/schemas/SamplingStrategy"
},
"max_tokens": {
"type": "integer",
"default": 0
},
"repetition_penalty": {
"type": "number",
"default": 1.0
}
},
"additionalProperties": false,
"required": [
"strategy"
]
},
"SamplingStrategy": {
"oneOf": [
{
"$ref": "#/components/schemas/GreedySamplingStrategy"
},
{
"$ref": "#/components/schemas/TopPSamplingStrategy"
},
{
"$ref": "#/components/schemas/TopKSamplingStrategy"
}
],
"discriminator": {
"propertyName": "type",
"mapping": {
"greedy": "#/components/schemas/GreedySamplingStrategy",
"top_p": "#/components/schemas/TopPSamplingStrategy",
"top_k": "#/components/schemas/TopKSamplingStrategy"
}
}
},
"SystemMessage": {
"type": "object",
"properties": {
"role": {
"type": "string",
"const": "system",
"default": "system",
"description": "Must be \"system\" to identify this as a system message"
},
"content": {
"$ref": "#/components/schemas/InterleavedContent",
"description": "The content of the \"system prompt\". If multiple system messages are provided, they are concatenated. The underlying Llama Stack code may also add other system messages (for example, for formatting tool definitions)."
}
},
"additionalProperties": false,
"required": [
"role",
"content"
],
"description": "A system message providing instructions or context to the model."
},
"TextContentItem": {
"type": "object",
"properties": {
"type": {
"type": "string",
"const": "text",
"default": "text",
"description": "Discriminator type of the content item. Always \"text\""
},
"text": {
"type": "string",
"description": "Text content"
}
},
"additionalProperties": false,
"required": [
"type",
"text"
],
"description": "A text content item"
},
"ToolCall": {
"type": "object",
"properties": {
"call_id": {
"type": "string"
},
"tool_name": {
"oneOf": [
{
"type": "string",
"enum": [
"brave_search",
"wolfram_alpha",
"photogen",
"code_interpreter"
]
},
{
"type": "string"
}
]
},
"arguments": {
"type": "object",
"additionalProperties": {
"oneOf": [
{
"type": "string"
},
{
"type": "integer"
},
{
"type": "number"
},
{
"type": "boolean"
},
{
"type": "null"
},
{
"type": "array",
"items": {
"oneOf": [
{
"type": "string"
},
{
"type": "integer"
},
{
"type": "number"
},
{
"type": "boolean"
},
{
"type": "null"
}
]
}
},
{
"type": "object",
"additionalProperties": {
"oneOf": [
{
"type": "string"
},
{
"type": "integer"
},
{
"type": "number"
},
{
"type": "boolean"
},
{
"type": "null"
}
]
}
}
]
}
}
},
"additionalProperties": false,
"required": [
"call_id",
"tool_name",
"arguments"
]
},
"ToolDefinition": {
"type": "object",
"properties": {
"tool_name": {
"oneOf": [
{
"type": "string",
"enum": [
"brave_search",
"wolfram_alpha",
"photogen",
"code_interpreter"
]
},
{
"type": "string"
}
]
},
"description": {
"type": "string"
},
"parameters": {
"type": "object",
"additionalProperties": {
"$ref": "#/components/schemas/ToolParamDefinition"
}
}
},
"additionalProperties": false,
"required": [
"tool_name"
]
},
"ToolParamDefinition": {
"type": "object",
"properties": {
"param_type": {
"type": "string"
},
"description": {
"type": "string"
},
"required": {
"type": "boolean",
"default": true
},
"default": {
"oneOf": [
{
"type": "null"
},
{
"type": "boolean"
},
{
"type": "number"
},
{
"type": "string"
},
{
"type": "array"
},
{
"type": "object"
}
]
}
},
"additionalProperties": false,
"required": [
"param_type"
]
},
"ToolResponseMessage": {
"type": "object",
"properties": {
"role": {
"type": "string",
"const": "tool",
"default": "tool",
"description": "Must be \"tool\" to identify this as a tool response"
},
"call_id": {
"type": "string",
"description": "Unique identifier for the tool call this response is for"
},
"tool_name": {
"oneOf": [
{
"type": "string",
"enum": [
"brave_search",
"wolfram_alpha",
"photogen",
"code_interpreter"
]
},
{
"type": "string"
}
],
"description": "Name of the tool that was called"
},
"content": {
"$ref": "#/components/schemas/InterleavedContent",
"description": "The response content from the tool"
}
},
"additionalProperties": false,
"required": [
"role",
"call_id",
"tool_name",
"content"
],
"description": "A message representing the result of a tool invocation."
},
"TopKSamplingStrategy": {
"type": "object",
"properties": {
"type": {
"type": "string",
"const": "top_k",
"default": "top_k"
},
"top_k": {
"type": "integer"
}
},
"additionalProperties": false,
"required": [
"type",
"top_k"
]
},
"TopPSamplingStrategy": {
"type": "object",
"properties": {
"type": {
"type": "string",
"const": "top_p",
"default": "top_p"
},
"temperature": {
"type": "number"
},
"top_p": {
"type": "number",
"default": 0.95
}
},
"additionalProperties": false,
"required": [
"type"
]
},
"URL": {
"type": "object",
"properties": {
"uri": {
"type": "string"
}
},
"additionalProperties": false,
"required": [
"uri"
]
},
"UserMessage": {
"type": "object",
"properties": {
"role": {
"type": "string",
"const": "user",
"default": "user",
"description": "Must be \"user\" to identify this as a user message"
},
"content": {
"$ref": "#/components/schemas/InterleavedContent",
"description": "The content of the message, which can include text and other media"
},
"context": {
"$ref": "#/components/schemas/InterleavedContent",
"description": "(Optional) This field is used internally by Llama Stack to pass RAG context. This field may be removed in the API in the future."
}
},
"additionalProperties": false,
"required": [
"role",
"content"
],
"description": "A message from the user in a chat conversation."
},
"BatchChatCompletionRequest": {
"type": "object",
"properties": {
"model": {
"type": "string"
},
"messages_batch": {
"type": "array",
"items": {
"type": "array",
"items": {
"$ref": "#/components/schemas/Message"
}
}
},
"sampling_params": {
"$ref": "#/components/schemas/SamplingParams"
},
"tools": {
"type": "array",
"items": {
"$ref": "#/components/schemas/ToolDefinition"
}
},
"tool_choice": {
"type": "string",
"enum": [
"auto",
"required"
],
"description": "Whether tool use is required or automatic. This is a hint to the model which may not be followed. It depends on the Instruction Following capabilities of the model."
},
"tool_prompt_format": {
"type": "string",
"enum": [
"json",
"function_tag",
"python_list"
],
"description": "Prompt format for calling custom / zero shot tools."
},
"response_format": {
"$ref": "#/components/schemas/ResponseFormat"
},
"logprobs": {
"type": "object",
"properties": {
"top_k": {
"type": "integer",
"default": 0,
"description": "How many tokens (for each position) to return log probabilities for."
}
},
"additionalProperties": false
}
},
"additionalProperties": false,
"required": [
"model",
"messages_batch"
]
},
"ChatCompletionResponse": {
"type": "object",
"properties": {
"completion_message": {
"$ref": "#/components/schemas/CompletionMessage",
"description": "The complete response message"
},
"logprobs": {
"type": "array",
"items": {
"$ref": "#/components/schemas/TokenLogProbs"
},
"description": "Optional log probabilities for generated tokens"
}
},
"additionalProperties": false,
"required": [
"completion_message"
],
"description": "Response from a chat completion request."
},
"MetricEvent": {
"type": "object",
"properties": {
"trace_id": {
"type": "string"
},
"span_id": {
"type": "string"
},
"timestamp": {
"type": "string",
"format": "date-time"
},
"attributes": {
"type": "object",
"additionalProperties": {
"oneOf": [
{
"type": "null"
},
{
"type": "boolean"
},
{
"type": "number"
},
{
"type": "string"
},
{
"type": "array"
},
{
"type": "object"
}
]
}
},
"type": {
"type": "string",
"const": "metric",
"default": "metric"
},
"metric": {
"type": "string"
},
"value": {
"oneOf": [
{
"type": "integer"
},
{
"type": "number"
}
]
},
"unit": {
"type": "string"
}
},
"additionalProperties": false,
"required": [
"trace_id",
"span_id",
"timestamp",
"type",
"metric",
"value",
"unit"
]
},
"TokenLogProbs": {
"type": "object",
"properties": {
"logprobs_by_token": {
"type": "object",
"additionalProperties": {
"type": "number"
},
"description": "Dictionary mapping tokens to their log probabilities"
}
},
"additionalProperties": false,
"required": [
"logprobs_by_token"
],
"description": "Log probabilities for generated tokens."
},
"BatchChatCompletionResponse": {
"type": "object",
"properties": {
"batch": {
"type": "array",
"items": {
"$ref": "#/components/schemas/ChatCompletionResponse"
}
},
"metrics": {
"type": "array",
"items": {
"$ref": "#/components/schemas/MetricEvent"
}
}
},
"additionalProperties": false,
"required": [
"batch"
]
},
"BatchCompletionRequest": {
"type": "object",
"properties": {
"model": {
"type": "string"
},
"content_batch": {
"type": "array",
"items": {
"$ref": "#/components/schemas/InterleavedContent"
}
},
"sampling_params": {
"$ref": "#/components/schemas/SamplingParams"
},
"response_format": {
"$ref": "#/components/schemas/ResponseFormat"
},
"logprobs": {
"type": "object",
"properties": {
"top_k": {
"type": "integer",
"default": 0,
"description": "How many tokens (for each position) to return log probabilities for."
}
},
"additionalProperties": false
}
},
"additionalProperties": false,
"required": [
"model",
"content_batch"
]
},
"CompletionResponse": {
"type": "object",
"properties": {
"content": {
"type": "string",
"description": "The generated completion text"
},
"stop_reason": {
"type": "string",
"enum": [
"end_of_turn",
"end_of_message",
"out_of_tokens"
],
"description": "Reason why generation stopped"
},
"logprobs": {
"type": "array",
"items": {
"$ref": "#/components/schemas/TokenLogProbs"
},
"description": "Optional log probabilities for generated tokens"
}
},
"additionalProperties": false,
"required": [
"content",
"stop_reason"
],
"description": "Response from a completion request."
},
"BatchCompletionResponse": {
"type": "object",
"properties": {
"batch": {
"type": "array",
"items": {
"$ref": "#/components/schemas/CompletionResponse"
}
},
"metrics": {
"type": "array",
"items": {
"$ref": "#/components/schemas/MetricEvent"
}
}
},
"additionalProperties": false,
"required": [
"batch"
]
},
"CancelTrainingJobRequest": {
"type": "object",
"properties": {
"job_uuid": {
"type": "string"
}
},
"additionalProperties": false,
"required": [
"job_uuid"
]
},
"ToolConfig": {
"type": "object",
"properties": {
"tool_choice": {
"type": "string",
"enum": [
"auto",
"required"
],
"description": "(Optional) Whether tool use is required or automatic. Defaults to ToolChoice.auto.",
"default": "auto"
},
"tool_prompt_format": {
"type": "string",
"enum": [
"json",
"function_tag",
"python_list"
],
"description": "(Optional) Instructs the model how to format tool calls. By default, Llama Stack will attempt to use a format that is best adapted to the model. - `ToolPromptFormat.json`: The tool calls are formatted as a JSON object. - `ToolPromptFormat.function_tag`: The tool calls are enclosed in a <function=function_name> tag. - `ToolPromptFormat.python_list`: The tool calls are output as Python syntax -- a list of function calls."
},
"system_message_behavior": {
"type": "string",
"enum": [
"append",
"replace"
],
"description": "(Optional) Config for how to override the default system prompt. - `SystemMessageBehavior.append`: Appends the provided system message to the default system prompt. - `SystemMessageBehavior.replace`: Replaces the default system prompt with the provided system message. The system message can include the string '{{function_definitions}}' to indicate where the function definitions should be inserted.",
"default": "append"
}
},
"additionalProperties": false,
"required": [
"system_message_behavior"
],
"description": "Configuration for tool use."
},
"ChatCompletionRequest": {
"type": "object",
"properties": {
"model_id": {
"type": "string",
"description": "The identifier of the model to use. The model must be registered with Llama Stack and available via the /models endpoint."
},
"messages": {
"type": "array",
"items": {
"$ref": "#/components/schemas/Message"
},
"description": "List of messages in the conversation"
},
"sampling_params": {
"$ref": "#/components/schemas/SamplingParams",
"description": "Parameters to control the sampling strategy"
},
"tools": {
"type": "array",
"items": {
"$ref": "#/components/schemas/ToolDefinition"
},
"description": "(Optional) List of tool definitions available to the model"
},
"tool_choice": {
"type": "string",
"enum": [
"auto",
"required"
],
"description": "(Optional) Whether tool use is required or automatic. Defaults to ToolChoice.auto. .. deprecated:: Use tool_config instead."
},
"tool_prompt_format": {
"type": "string",
"enum": [
"json",
"function_tag",
"python_list"
],
"description": "(Optional) Instructs the model how to format tool calls. By default, Llama Stack will attempt to use a format that is best adapted to the model. - `ToolPromptFormat.json`: The tool calls are formatted as a JSON object. - `ToolPromptFormat.function_tag`: The tool calls are enclosed in a <function=function_name> tag. - `ToolPromptFormat.python_list`: The tool calls are output as Python syntax -- a list of function calls. .. deprecated:: Use tool_config instead."
},
"response_format": {
"$ref": "#/components/schemas/ResponseFormat",
"description": "(Optional) Grammar specification for guided (structured) decoding. There are two options: - `ResponseFormat.json_schema`: The grammar is a JSON schema. Most providers support this format. - `ResponseFormat.grammar`: The grammar is a BNF grammar. This format is more flexible, but not all providers support it."
},
"stream": {
"type": "boolean",
"description": "(Optional) If True, generate an SSE event stream of the response. Defaults to False."
},
"logprobs": {
"type": "object",
"properties": {
"top_k": {
"type": "integer",
"default": 0,
"description": "How many tokens (for each position) to return log probabilities for."
}
},
"additionalProperties": false,
"description": "(Optional) If specified, log probabilities for each token position will be returned."
},
"tool_config": {
"$ref": "#/components/schemas/ToolConfig",
"description": "(Optional) Configuration for tool use."
}
},
"additionalProperties": false,
"required": [
"model_id",
"messages"
]
},
"ChatCompletionResponseEvent": {
"type": "object",
"properties": {
"event_type": {
"type": "string",
"enum": [
"start",
"complete",
"progress"
],
"description": "Type of the event"
},
"delta": {
"$ref": "#/components/schemas/ContentDelta",
"description": "Content generated since last event. This can be one or more tokens, or a tool call."
},
"logprobs": {
"type": "array",
"items": {
"$ref": "#/components/schemas/TokenLogProbs"
},
"description": "Optional log probabilities for generated tokens"
},
"stop_reason": {
"type": "string",
"enum": [
"end_of_turn",
"end_of_message",
"out_of_tokens"
],
"description": "Optional reason why generation stopped, if complete"
}
},
"additionalProperties": false,
"required": [
"event_type",
"delta"
],
"description": "An event during chat completion generation."
},
"ContentDelta": {
"oneOf": [
{
"$ref": "#/components/schemas/TextDelta"
},
{
"$ref": "#/components/schemas/ImageDelta"
},
{
"$ref": "#/components/schemas/ToolCallDelta"
}
],
"discriminator": {
"propertyName": "type",
"mapping": {
"text": "#/components/schemas/TextDelta",
"image": "#/components/schemas/ImageDelta",
"tool_call": "#/components/schemas/ToolCallDelta"
}
}
},
"ImageDelta": {
"type": "object",
"properties": {
"type": {
"type": "string",
"const": "image",
"default": "image"
},
"image": {
"type": "string",
"contentEncoding": "base64"
}
},
"additionalProperties": false,
"required": [
"type",
"image"
]
},
"TextDelta": {
"type": "object",
"properties": {
"type": {
"type": "string",
"const": "text",
"default": "text"
},
"text": {
"type": "string"
}
},
"additionalProperties": false,
"required": [
"type",
"text"
]
},
"ToolCallDelta": {
"type": "object",
"properties": {
"type": {
"type": "string",
"const": "tool_call",
"default": "tool_call"
},
"tool_call": {
"oneOf": [
{
"type": "string"
},
{
"$ref": "#/components/schemas/ToolCall"
}
]
},
"parse_status": {
"type": "string",
"enum": [
"started",
"in_progress",
"failed",
"succeeded"
]
}
},
"additionalProperties": false,
"required": [
"type",
"tool_call",
"parse_status"
]
},
"ChatCompletionResponseStreamChunk": {
"type": "object",
"properties": {
"event": {
"$ref": "#/components/schemas/ChatCompletionResponseEvent",
"description": "The event containing the new content"
},
"metrics": {
"type": "array",
"items": {
"$ref": "#/components/schemas/MetricEvent"
}
}
},
"additionalProperties": false,
"required": [
"event"
]
},
"CompletionRequest": {
"type": "object",
"properties": {
"model_id": {
"type": "string",
"description": "The identifier of the model to use. The model must be registered with Llama Stack and available via the /models endpoint."
},
"content": {
"$ref": "#/components/schemas/InterleavedContent",
"description": "The content to generate a completion for"
},
"sampling_params": {
"$ref": "#/components/schemas/SamplingParams",
"description": "(Optional) Parameters to control the sampling strategy"
},
"response_format": {
"$ref": "#/components/schemas/ResponseFormat",
"description": "(Optional) Grammar specification for guided (structured) decoding"
},
"stream": {
"type": "boolean",
"description": "(Optional) If True, generate an SSE event stream of the response. Defaults to False."
},
"logprobs": {
"type": "object",
"properties": {
"top_k": {
"type": "integer",
"default": 0,
"description": "How many tokens (for each position) to return log probabilities for."
}
},
"additionalProperties": false,
"description": "(Optional) If specified, log probabilities for each token position will be returned."
}
},
"additionalProperties": false,
"required": [
"model_id",
"content"
]
},
"CompletionResponseStreamChunk": {
"type": "object",
"properties": {
"delta": {
"type": "string",
"description": "New content generated since last chunk. This can be one or more tokens."
},
"stop_reason": {
"type": "string",
"enum": [
"end_of_turn",
"end_of_message",
"out_of_tokens"
],
"description": "Optional reason why generation stopped, if complete"
},
"logprobs": {
"type": "array",
"items": {
"$ref": "#/components/schemas/TokenLogProbs"
},
"description": "Optional log probabilities for generated tokens"
},
"metrics": {
"type": "array",
"items": {
"$ref": "#/components/schemas/MetricEvent"
}
}
},
"additionalProperties": false,
"required": [
"delta"
]
},
"AgentConfig": {
"type": "object",
"properties": {
"sampling_params": {
"$ref": "#/components/schemas/SamplingParams"
},
"input_shields": {
"type": "array",
"items": {
"type": "string"
}
},
"output_shields": {
"type": "array",
"items": {
"type": "string"
}
},
"toolgroups": {
"type": "array",
"items": {
"$ref": "#/components/schemas/AgentTool"
}
},
"client_tools": {
"type": "array",
"items": {
"$ref": "#/components/schemas/ToolDef"
}
},
"tool_choice": {
"type": "string",
"enum": [
"auto",
"required"
],
"description": "Whether tool use is required or automatic. This is a hint to the model which may not be followed. It depends on the Instruction Following capabilities of the model.",
"default": "auto"
},
"tool_prompt_format": {
"type": "string",
"enum": [
"json",
"function_tag",
"python_list"
],
"description": "Prompt format for calling custom / zero shot tools."
},
"tool_config": {
"$ref": "#/components/schemas/ToolConfig"
},
"max_infer_iters": {
"type": "integer",
"default": 10
},
"model": {
"type": "string"
},
"instructions": {
"type": "string"
},
"enable_session_persistence": {
"type": "boolean"
},
"response_format": {
"$ref": "#/components/schemas/ResponseFormat"
}
},
"additionalProperties": false,
"required": [
"model",
"instructions",
"enable_session_persistence"
]
},
"AgentTool": {
"oneOf": [
{
"type": "string"
},
{
"type": "object",
"properties": {
"name": {
"type": "string"
},
"args": {
"type": "object",
"additionalProperties": {
"oneOf": [
{
"type": "null"
},
{
"type": "boolean"
},
{
"type": "number"
},
{
"type": "string"
},
{
"type": "array"
},
{
"type": "object"
}
]
}
}
},
"additionalProperties": false,
"required": [
"name",
"args"
]
}
]
},
"ToolDef": {
"type": "object",
"properties": {
"name": {
"type": "string"
},
"description": {
"type": "string"
},
"parameters": {
"type": "array",
"items": {
"$ref": "#/components/schemas/ToolParameter"
}
},
"metadata": {
"type": "object",
"additionalProperties": {
"oneOf": [
{
"type": "null"
},
{
"type": "boolean"
},
{
"type": "number"
},
{
"type": "string"
},
{
"type": "array"
},
{
"type": "object"
}
]
}
}
},
"additionalProperties": false,
"required": [
"name"
]
},
"ToolParameter": {
"type": "object",
"properties": {
"name": {
"type": "string"
},
"parameter_type": {
"type": "string"
},
"description": {
"type": "string"
},
"required": {
"type": "boolean",
"default": true
},
"default": {
"oneOf": [
{
"type": "null"
},
{
"type": "boolean"
},
{
"type": "number"
},
{
"type": "string"
},
{
"type": "array"
},
{
"type": "object"
}
]
}
},
"additionalProperties": false,
"required": [
"name",
"parameter_type",
"description",
"required"
]
},
"CreateAgentRequest": {
"type": "object",
"properties": {
"agent_config": {
"$ref": "#/components/schemas/AgentConfig"
}
},
"additionalProperties": false,
"required": [
"agent_config"
]
},
"AgentCreateResponse": {
"type": "object",
"properties": {
"agent_id": {
"type": "string"
},
"metrics": {
"type": "array",
"items": {
"$ref": "#/components/schemas/MetricEvent"
}
}
},
"additionalProperties": false,
"required": [
"agent_id"
]
},
"CreateAgentSessionRequest": {
"type": "object",
"properties": {
"session_name": {
"type": "string"
}
},
"additionalProperties": false,
"required": [
"session_name"
]
},
"AgentSessionCreateResponse": {
"type": "object",
"properties": {
"session_id": {
"type": "string"
},
"metrics": {
"type": "array",
"items": {
"$ref": "#/components/schemas/MetricEvent"
}
}
},
"additionalProperties": false,
"required": [
"session_id"
]
},
"CreateAgentTurnRequest": {
"type": "object",
"properties": {
"messages": {
"type": "array",
"items": {
"oneOf": [
{
"$ref": "#/components/schemas/UserMessage"
},
{
"$ref": "#/components/schemas/ToolResponseMessage"
}
]
}
},
"stream": {
"type": "boolean"
},
"documents": {
"type": "array",
"items": {
"type": "object",
"properties": {
"content": {
"oneOf": [
{
"type": "string"
},
{
"$ref": "#/components/schemas/InterleavedContentItem"
},
{
"type": "array",
"items": {
"$ref": "#/components/schemas/InterleavedContentItem"
}
},
{
"$ref": "#/components/schemas/URL"
}
]
},
"mime_type": {
"type": "string"
}
},
"additionalProperties": false,
"required": [
"content",
"mime_type"
]
}
},
"toolgroups": {
"type": "array",
"items": {
"$ref": "#/components/schemas/AgentTool"
}
},
"tool_config": {
"$ref": "#/components/schemas/ToolConfig"
}
},
"additionalProperties": false,
"required": [
"messages"
]
},
"InferenceStep": {
"type": "object",
"properties": {
"turn_id": {
"type": "string"
},
"step_id": {
"type": "string"
},
"started_at": {
"type": "string",
"format": "date-time"
},
"completed_at": {
"type": "string",
"format": "date-time"
},
"step_type": {
"type": "string",
"const": "inference",
"default": "inference"
},
"model_response": {
"$ref": "#/components/schemas/CompletionMessage"
}
},
"additionalProperties": false,
"required": [
"turn_id",
"step_id",
"step_type",
"model_response"
]
},
"MemoryRetrievalStep": {
"type": "object",
"properties": {
"turn_id": {
"type": "string"
},
"step_id": {
"type": "string"
},
"started_at": {
"type": "string",
"format": "date-time"
},
"completed_at": {
"type": "string",
"format": "date-time"
},
"step_type": {
"type": "string",
"const": "memory_retrieval",
"default": "memory_retrieval"
},
"vector_db_ids": {
"type": "string"
},
"inserted_context": {
"$ref": "#/components/schemas/InterleavedContent"
}
},
"additionalProperties": false,
"required": [
"turn_id",
"step_id",
"step_type",
"vector_db_ids",
"inserted_context"
]
},
"SafetyViolation": {
"type": "object",
"properties": {
"violation_level": {
"$ref": "#/components/schemas/ViolationLevel"
},
"user_message": {
"type": "string"
},
"metadata": {
"type": "object",
"additionalProperties": {
"oneOf": [
{
"type": "null"
},
{
"type": "boolean"
},
{
"type": "number"
},
{
"type": "string"
},
{
"type": "array"
},
{
"type": "object"
}
]
}
}
},
"additionalProperties": false,
"required": [
"violation_level",
"metadata"
]
},
"ShieldCallStep": {
"type": "object",
"properties": {
"turn_id": {
"type": "string"
},
"step_id": {
"type": "string"
},
"started_at": {
"type": "string",
"format": "date-time"
},
"completed_at": {
"type": "string",
"format": "date-time"
},
"step_type": {
"type": "string",
"const": "shield_call",
"default": "shield_call"
},
"violation": {
"$ref": "#/components/schemas/SafetyViolation"
}
},
"additionalProperties": false,
"required": [
"turn_id",
"step_id",
"step_type"
]
},
"ToolExecutionStep": {
"type": "object",
"properties": {
"turn_id": {
"type": "string"
},
"step_id": {
"type": "string"
},
"started_at": {
"type": "string",
"format": "date-time"
},
"completed_at": {
"type": "string",
"format": "date-time"
},
"step_type": {
"type": "string",
"const": "tool_execution",
"default": "tool_execution"
},
"tool_calls": {
"type": "array",
"items": {
"$ref": "#/components/schemas/ToolCall"
}
},
"tool_responses": {
"type": "array",
"items": {
"$ref": "#/components/schemas/ToolResponse"
}
}
},
"additionalProperties": false,
"required": [
"turn_id",
"step_id",
"step_type",
"tool_calls",
"tool_responses"
]
},
"ToolResponse": {
"type": "object",
"properties": {
"call_id": {
"type": "string"
},
"tool_name": {
"oneOf": [
{
"type": "string",
"enum": [
"brave_search",
"wolfram_alpha",
"photogen",
"code_interpreter"
]
},
{
"type": "string"
}
]
},
"content": {
"$ref": "#/components/schemas/InterleavedContent"
}
},
"additionalProperties": false,
"required": [
"call_id",
"tool_name",
"content"
]
},
"ViolationLevel": {
"type": "string",
"enum": [
"info",
"warn",
"error"
]
},
"Turn": {
"type": "object",
"properties": {
"turn_id": {
"type": "string"
},
"session_id": {
"type": "string"
},
"input_messages": {
"type": "array",
"items": {
"oneOf": [
{
"$ref": "#/components/schemas/UserMessage"
},
{
"$ref": "#/components/schemas/ToolResponseMessage"
}
]
}
},
"steps": {
"type": "array",
"items": {
"oneOf": [
{
"$ref": "#/components/schemas/InferenceStep"
},
{
"$ref": "#/components/schemas/ToolExecutionStep"
},
{
"$ref": "#/components/schemas/ShieldCallStep"
},
{
"$ref": "#/components/schemas/MemoryRetrievalStep"
}
],
"discriminator": {
"propertyName": "step_type",
"mapping": {
"inference": "#/components/schemas/InferenceStep",
"tool_execution": "#/components/schemas/ToolExecutionStep",
"shield_call": "#/components/schemas/ShieldCallStep",
"memory_retrieval": "#/components/schemas/MemoryRetrievalStep"
}
}
}
},
"output_message": {
"$ref": "#/components/schemas/CompletionMessage"
},
"output_attachments": {
"type": "array",
"items": {
"type": "object",
"properties": {
"content": {
"oneOf": [
{
"type": "string"
},
{
"$ref": "#/components/schemas/InterleavedContentItem"
},
{
"type": "array",
"items": {
"$ref": "#/components/schemas/InterleavedContentItem"
}
},
{
"$ref": "#/components/schemas/URL"
}
]
},
"mime_type": {
"type": "string"
}
},
"additionalProperties": false,
"required": [
"content",
"mime_type"
]
}
},
"started_at": {
"type": "string",
"format": "date-time"
},
"completed_at": {
"type": "string",
"format": "date-time"
},
"metrics": {
"type": "array",
"items": {
"$ref": "#/components/schemas/MetricEvent"
}
}
},
"additionalProperties": false,
"required": [
"turn_id",
"session_id",
"input_messages",
"steps",
"output_message",
"started_at"
]
},
"AgentTurnResponseEvent": {
"type": "object",
"properties": {
"payload": {
"$ref": "#/components/schemas/AgentTurnResponseEventPayload"
}
},
"additionalProperties": false,
"required": [
"payload"
]
},
"AgentTurnResponseEventPayload": {
"oneOf": [
{
"$ref": "#/components/schemas/AgentTurnResponseStepStartPayload"
},
{
"$ref": "#/components/schemas/AgentTurnResponseStepProgressPayload"
},
{
"$ref": "#/components/schemas/AgentTurnResponseStepCompletePayload"
},
{
"$ref": "#/components/schemas/AgentTurnResponseTurnStartPayload"
},
{
"$ref": "#/components/schemas/AgentTurnResponseTurnCompletePayload"
}
],
"discriminator": {
"propertyName": "event_type",
"mapping": {
"step_start": "#/components/schemas/AgentTurnResponseStepStartPayload",
"step_progress": "#/components/schemas/AgentTurnResponseStepProgressPayload",
"step_complete": "#/components/schemas/AgentTurnResponseStepCompletePayload",
"turn_start": "#/components/schemas/AgentTurnResponseTurnStartPayload",
"turn_complete": "#/components/schemas/AgentTurnResponseTurnCompletePayload"
}
}
},
"AgentTurnResponseStepCompletePayload": {
"type": "object",
"properties": {
"event_type": {
"type": "string",
"const": "step_complete",
"default": "step_complete"
},
"step_type": {
"type": "string",
"enum": [
"inference",
"tool_execution",
"shield_call",
"memory_retrieval"
]
},
"step_id": {
"type": "string"
},
"step_details": {
"oneOf": [
{
"$ref": "#/components/schemas/InferenceStep"
},
{
"$ref": "#/components/schemas/ToolExecutionStep"
},
{
"$ref": "#/components/schemas/ShieldCallStep"
},
{
"$ref": "#/components/schemas/MemoryRetrievalStep"
}
],
"discriminator": {
"propertyName": "step_type",
"mapping": {
"inference": "#/components/schemas/InferenceStep",
"tool_execution": "#/components/schemas/ToolExecutionStep",
"shield_call": "#/components/schemas/ShieldCallStep",
"memory_retrieval": "#/components/schemas/MemoryRetrievalStep"
}
}
}
},
"additionalProperties": false,
"required": [
"event_type",
"step_type",
"step_id",
"step_details"
]
},
"AgentTurnResponseStepProgressPayload": {
"type": "object",
"properties": {
"event_type": {
"type": "string",
"const": "step_progress",
"default": "step_progress"
},
"step_type": {
"type": "string",
"enum": [
"inference",
"tool_execution",
"shield_call",
"memory_retrieval"
]
},
"step_id": {
"type": "string"
},
"delta": {
"$ref": "#/components/schemas/ContentDelta"
}
},
"additionalProperties": false,
"required": [
"event_type",
"step_type",
"step_id",
"delta"
]
},
"AgentTurnResponseStepStartPayload": {
"type": "object",
"properties": {
"event_type": {
"type": "string",
"const": "step_start",
"default": "step_start"
},
"step_type": {
"type": "string",
"enum": [
"inference",
"tool_execution",
"shield_call",
"memory_retrieval"
]
},
"step_id": {
"type": "string"
},
"metadata": {
"type": "object",
"additionalProperties": {
"oneOf": [
{
"type": "null"
},
{
"type": "boolean"
},
{
"type": "number"
},
{
"type": "string"
},
{
"type": "array"
},
{
"type": "object"
}
]
}
}
},
"additionalProperties": false,
"required": [
"event_type",
"step_type",
"step_id"
]
},
"AgentTurnResponseTurnCompletePayload": {
"type": "object",
"properties": {
"event_type": {
"type": "string",
"const": "turn_complete",
"default": "turn_complete"
},
"turn": {
"$ref": "#/components/schemas/Turn"
}
},
"additionalProperties": false,
"required": [
"event_type",
"turn"
]
},
"AgentTurnResponseTurnStartPayload": {
"type": "object",
"properties": {
"event_type": {
"type": "string",
"const": "turn_start",
"default": "turn_start"
},
"turn_id": {
"type": "string"
}
},
"additionalProperties": false,
"required": [
"event_type",
"turn_id"
]
},
"AgentTurnResponseStreamChunk": {
"type": "object",
"properties": {
"event": {
"$ref": "#/components/schemas/AgentTurnResponseEvent"
},
"metrics": {
"type": "array",
"items": {
"$ref": "#/components/schemas/MetricEvent"
}
}
},
"additionalProperties": false,
"required": [
"event"
]
},
"EmbeddingsRequest": {
"type": "object",
"properties": {
"model_id": {
"type": "string",
"description": "The identifier of the model to use. The model must be an embedding model registered with Llama Stack and available via the /models endpoint."
},
"contents": {
"type": "array",
"items": {
"$ref": "#/components/schemas/InterleavedContent"
},
"description": "List of contents to generate embeddings for. Note that content can be multimodal. The behavior depends on the model and provider. Some models may only support text."
}
},
"additionalProperties": false,
"required": [
"model_id",
"contents"
]
},
"EmbeddingsResponse": {
"type": "object",
"properties": {
"embeddings": {
"type": "array",
"items": {
"type": "array",
"items": {
"type": "number"
}
},
"description": "List of embedding vectors, one per input content. Each embedding is a list of floats. The dimensionality of the embedding is model-specific; you can check model metadata using /models/{model_id}"
},
"metrics": {
"type": "array",
"items": {
"$ref": "#/components/schemas/MetricEvent"
}
}
},
"additionalProperties": false,
"required": [
"embeddings"
]
},
"AgentCandidate": {
"type": "object",
"properties": {
"type": {
"type": "string",
"const": "agent",
"default": "agent"
},
"config": {
"$ref": "#/components/schemas/AgentConfig"
}
},
"additionalProperties": false,
"required": [
"type",
"config"
]
},
"AggregationFunctionType": {
"type": "string",
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