Local HTTP API exposed by Anaconda AI Navigator for managing curated local models, model files, inference servers, and an embedded vector database — list and download models, start and stop model servers, and create, list and drop vector-database tables. OpenAPI 3.0.0 with a bearer (UUID API key) scheme; the server runs on the developer's own machine, so the specification publishes no servers[] entry.
{
"openapi": "3.0.0",
"info": {
"title": "AI Navigator API",
"version": "1.0.0",
"description": "API documentation for AI Navigator"
},
"components": {
"securitySchemes": {
"bearerAuth": {
"type": "http",
"scheme": "bearer",
"bearerFormat": "UUID",
"description": "Enter your API key here"
}
},
"schemas": {
"TrainedFor": {
"type": "string",
"enum": [
"text-generation",
"sentence-similarity"
],
"description": "The primary task the model was trained for"
},
"ModelFile": {
"type": "object",
"required": [
"id",
"name",
"downloadUrl",
"sizeBytes",
"sha256checksum",
"quantization",
"format",
"maxRamUsage"
],
"properties": {
"id": {
"type": "string",
"description": "Unique identifier for the model file"
},
"name": {
"type": "string",
"description": "Name of the model file"
},
"downloadUrl": {
"type": "string",
"description": "URL to download the model file"
},
"sizeBytes": {
"type": "number",
"description": "Size of the model file in bytes"
},
"sha256checksum": {
"type": "string",
"description": "SHA-256 hash of the model file for integrity verification"
},
"quantization": {
"type": "string",
"description": "Quantization method used for the model"
},
"format": {
"type": "string",
"description": "File format of the model"
},
"isDownloaded": {
"type": "boolean",
"description": "Whether the model file has been downloaded locally"
},
"maxRamUsage": {
"type": "number",
"description": "Maximum RAM required to run the model in bytes"
},
"downloadStatus": {
"type": "object",
"description": "Information about the download status of the file",
"properties": {
"status": {
"type": "string",
"enum": [
"not_started",
"in_progress",
"paused",
"completed"
],
"description": "Current status of the download"
},
"progress": {
"$ref": "#/components/schemas/Download"
},
"localPath": {
"type": "string",
"description": "Local path where the file is stored (only when status is completed)"
}
}
}
}
},
"LocalModelFile": {
"allOf": [
{
"$ref": "#/components/schemas/ModelFile"
},
{
"type": "object",
"required": [
"localPath",
"isDownloaded"
],
"properties": {
"localPath": {
"type": "string",
"description": "Local file system path where the model is stored"
},
"isDownloaded": {
"type": "boolean",
"description": "Whether the model file has been downloaded"
}
}
}
]
},
"ModelSummary": {
"type": "object",
"required": [
"id",
"name",
"metadata"
],
"properties": {
"id": {
"type": "string",
"description": "Unique identifier for the model"
},
"name": {
"type": "string",
"description": "Name of the model"
},
"metadata": {
"type": "object",
"required": [
"numParameters",
"trainedFor",
"description",
"quantizations"
],
"properties": {
"numParameters": {
"oneOf": [
{
"type": "number"
},
{
"type": "string"
}
],
"description": "Number of parameters in the model (string for legacy models)"
},
"contextWindowSize": {
"type": "number",
"description": "Maximum context window size for the model"
},
"trainedFor": {
"type": "string",
"description": "Primary task the model was trained for"
},
"description": {
"type": "string",
"description": "Description of the model"
},
"quantizations": {
"type": "array",
"items": {
"type": "object",
"required": [
"modelFileName",
"method",
"sizeBytes",
"maxRamUsage"
],
"properties": {
"modelFileName": {
"type": "string",
"description": "Name of the model file"
},
"method": {
"type": "string",
"description": "Quantization method used"
},
"sizeBytes": {
"type": "number",
"description": "Size of the quantized model in bytes"
},
"maxRamUsage": {
"type": "number",
"description": "Maximum RAM usage of the quantized model"
}
}
}
}
}
}
}
},
"Model": {
"type": "object",
"required": [
"datePublished",
"publisher",
"name",
"id",
"resources",
"license",
"languages",
"library_name",
"trainedFor",
"numParameters",
"model_type",
"description",
"contextWindowSize",
"files"
],
"properties": {
"datePublished": {
"type": "string",
"format": "date-time",
"description": "Date when the model was published"
},
"publisher": {
"type": "string",
"description": "Publisher or organization that released the model"
},
"name": {
"type": "string",
"description": "Name of the model"
},
"id": {
"type": "string",
"description": "Unique identifier for the model"
},
"resources": {
"type": "object",
"required": [
"canonicalUrl"
],
"properties": {
"canonicalUrl": {
"type": "string",
"description": "Official URL for the model"
},
"paperUrl": {
"type": "string",
"description": "URL to the research paper associated with the model"
}
}
},
"license": {
"type": "string",
"description": "License under which the model is distributed"
},
"languages": {
"type": "array",
"items": {
"type": "string"
},
"description": "Languages supported by the model"
},
"library_name": {
"type": "string",
"description": "Library or framework the model is designed for"
},
"trainedFor": {
"$ref": "#/components/schemas/TrainedFor"
},
"numParameters": {
"type": "number",
"description": "Number of parameters in the model"
},
"model_type": {
"type": "string",
"description": "Type or architecture of the model"
},
"description": {
"type": "string",
"description": "Detailed description of the model"
},
"contextWindowSize": {
"type": "number",
"description": "Maximum context window size in tokens"
},
"files": {
"type": "array",
"items": {
"$ref": "#/components/schemas/ModelFile"
},
"description": "Files associated with the model"
}
}
},
"LocalModel": {
"allOf": [
{
"type": "object",
"required": [
"datePublished",
"publisher",
"name",
"id",
"resources",
"license",
"languages",
"library_name",
"trainedFor",
"numParameters",
"model_type",
"description",
"files"
],
"properties": {
"datePublished": {
"type": "string",
"format": "date-time",
"description": "Date when the model was published"
},
"publisher": {
"type": "string",
"description": "Publisher or organization that released the model"
},
"name": {
"type": "string",
"description": "Name of the model"
},
"id": {
"type": "string",
"description": "Unique identifier for the model"
},
"resources": {
"type": "object",
"required": [
"canonicalUrl"
],
"properties": {
"canonicalUrl": {
"type": "string",
"description": "Official URL for the model"
},
"paperUrl": {
"type": "string",
"description": "URL to the research paper associated with the model"
}
}
},
"license": {
"type": "string",
"description": "License under which the model is distributed"
},
"languages": {
"type": "array",
"items": {
"type": "string"
},
"description": "Languages supported by the model"
},
"library_name": {
"type": "string",
"description": "Library or framework the model is designed for"
},
"trainedFor": {
"$ref": "#/components/schemas/TrainedFor"
},
"model_type": {
"type": "string",
"description": "Type or architecture of the model"
},
"description": {
"type": "string",
"description": "Detailed description of the model"
},
"numParameters": {
"oneOf": [
{
"type": "number"
},
{
"type": "string"
}
],
"description": "Number of parameters in the model (string for legacy models)"
},
"contextWindowSize": {
"type": "number",
"description": "Maximum context window size (optional for legacy models)"
},
"files": {
"type": "array",
"items": {
"$ref": "#/components/schemas/LocalModelFile"
},
"description": "Files associated with the model"
}
}
}
]
},
"Download": {
"type": "object",
"required": [
"fileId",
"modelId",
"filename",
"downloadedRatio",
"transferredBytes",
"totalBytes",
"paused",
"downloadTimeTaken",
"averageMbps"
],
"properties": {
"fileId": {
"type": "string",
"description": "ID of the file being downloaded"
},
"modelId": {
"type": "string",
"description": "ID of the model being downloaded"
},
"filename": {
"type": "string",
"description": "Name of the file being downloaded"
},
"downloadedRatio": {
"type": "number",
"description": "Percentage of download completion (0-1)"
},
"transferredBytes": {
"type": "number",
"description": "Number of bytes transferred"
},
"totalBytes": {
"type": "number",
"description": "Total size of the file in bytes"
},
"paused": {
"type": "boolean",
"description": "Whether the download is paused"
},
"downloadTimeTaken": {
"type": "number",
"description": "Time taken for download in milliseconds"
},
"averageMbps": {
"type": "number",
"description": "Average download speed in Mbps"
}
}
},
"DownloadAction": {
"type": "object",
"required": [
"action"
],
"properties": {
"action": {
"type": "string",
"enum": [
"start",
"pause",
"resume"
],
"description": "Action to perform on the download"
}
}
},
"DownloadStatus": {
"type": "object",
"required": [
"data"
],
"properties": {
"data": {
"type": "object",
"required": [
"status"
],
"properties": {
"status": {
"type": "string",
"enum": [
"in_progress",
"paused",
"completed"
],
"description": "Current status of the download"
},
"progress": {
"$ref": "#/components/schemas/Download",
"description": "Download progress information (only when status is in_progress or paused)"
},
"localPath": {
"type": "string",
"description": "Local path where the file is stored (only when status is completed)"
}
}
}
}
},
"Error": {
"type": "object",
"properties": {
"error": {
"type": "object",
"properties": {
"code": {
"type": "string",
"enum": [
"INVALID_REQUEST",
"DATABASE_NOT_RUNNING",
"INTERNAL_SERVER_ERROR",
"INVALID_SERVER_ID",
"SERVER_NOT_RUNNING",
"SERVER_RUNNING",
"INTERNAL_SERVER_ERROR"
]
},
"message": {
"type": "string"
}
}
}
}
},
"Server": {
"type": "object",
"required": [
"serverConfig"
],
"properties": {
"serverConfig": {
"type": "object",
"required": [
"modelFileName"
],
"properties": {
"modelFileName": {
"type": "string"
},
"apiParams": {
"type": "object"
},
"loadParams": {
"type": "object"
},
"inferParams": {
"type": "object"
},
"logsDir": {
"type": "string"
}
}
},
"startServerOnCreate": {
"type": "boolean"
}
}
},
"ServerAction": {
"type": "object",
"required": [
"action"
],
"properties": {
"action": {
"type": "string",
"enum": [
"start",
"stop"
]
}
}
},
"ServerDetails": {
"type": "object",
"properties": {
"modelFile": {
"type": "object",
"description": "Details about the model file used by the server",
"properties": {
"id": {
"type": "string"
},
"name": {
"type": "string"
},
"localPath": {
"type": "string"
},
"isDownloaded": {
"type": "boolean"
},
"quantization": {
"type": "string"
}
}
},
"serverConfig": {
"type": "object",
"description": "Original server configuration",
"properties": {
"modelFileName": {
"type": "string"
},
"apiParams": {
"type": "object"
},
"loadParams": {
"type": "object"
},
"inferParams": {
"type": "object"
},
"logsDir": {
"type": "string"
}
}
},
"server": {
"type": "object",
"properties": {
"host": {
"type": "string"
},
"port": {
"type": "integer"
}
}
},
"tag": {
"type": "string",
"description": "Server tag (e.g., 'inference', 'embedding')"
},
"status": {
"type": "string",
"enum": [
"STARTING",
"RUNNING",
"STOPPING",
"STOPPED",
"ERROR"
]
},
"serverProcessId": {
"type": "integer",
"nullable": true
},
"id": {
"type": "string",
"description": "Unique server identifier"
}
}
},
"VectorDB": {
"type": "object",
"required": [
"running",
"host",
"port",
"database",
"user",
"password"
],
"properties": {
"running": {
"type": "boolean",
"description": "Whether the vector database is running"
},
"host": {
"type": "string",
"description": "Database host address"
},
"port": {
"type": "integer",
"description": "Database port number"
},
"database": {
"type": "string",
"description": "Database name"
},
"user": {
"type": "string",
"description": "Database username"
},
"password": {
"type": "string",
"description": "Database password"
}
}
},
"VectorDBAction": {
"type": "object",
"required": [
"running"
],
"properties": {
"running": {
"type": "boolean",
"description": "Whether to start (true) or stop (false) the vector database"
}
}
},
"CreateTableRequest": {
"type": "object",
"required": [
"name"
],
"properties": {
"name": {
"type": "string",
"description": "Name of the table to create"
},
"schema": {
"type": "object",
"description": "Schema definition for the table",
"properties": {
"columns": {
"type": "array",
"items": {
"type": "object",
"properties": {
"name": {
"type": "string",
"description": "Column name"
},
"type": {
"type": "string",
"description": "Column data type"
},
"constraints": {
"type": "array",
"items": {
"type": "string"
},
"description": "Column constraints"
}
}
}
}
}
},
"data": {
"type": "array",
"items": {
"type": "object"
},
"description": "Initial data to insert into the table"
}
}
},
"CreateTableResponse": {
"type": "object",
"required": [
"name",
"schema",
"numRows"
],
"properties": {
"name": {
"type": "string",
"description": "Name of the created table"
},
"schema": {
"type": "object",
"description": "Schema of the created table",
"properties": {
"columns": {
"type": "array",
"items": {
"type": "object",
"properties": {
"name": {
"type": "string",
"description": "Column name"
},
"type": {
"type": "string",
"description": "Column data type"
},
"constraints": {
"type": "array",
"items": {
"type": "string"
},
"description": "Column constraints"
}
}
}
}
}
},
"numRows": {
"type": "integer",
"description": "Number of rows inserted"
}
}
}
}
},
"security": [
{
"bearerAuth": []
}
],
"paths": {
"/api": {
"get": {
"description": "Returns application information",
"responses": {
"200": {
"description": "Returns version details for AI Navigator, Mamba, and LlamaCPP"
}
}
}
},
"/api/models/health": {
"get": {
"summary": "Check the health of the models API",
"tags": [
"Models"
],
"responses": {
"200": {
"description": "Models API is healthy",
"content": {
"application/json": {
"schema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"message": {
"type": "string",
"example": "/api/models/health ok"
}
}
}
}
}
}
}
}
}
}
},
"/api/models": {
"get": {
"summary": "Get all models",
"description": "Retrieves a list of models, either from the entire catalog or only those downloaded locally",
"tags": [
"Models"
],
"parameters": [
{
"in": "query",
"name": "downloaded",
"schema": {
"type": "boolean"
},
"description": "When true, returns only models that have at least one file downloaded locally"
}
],
"responses": {
"200": {
"description": "List of models retrieved successfully",
"content": {
"application/json": {
"schema": {
"type": "object",
"properties": {
"data": {
"type": "array",
"items": {
"$ref": "#/components/schemas/ModelSummary"
}
}
}
}
}
}
},
"500": {
"description": "Internal server error",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/Error"
}
}
}
}
}
}
},
"/api/models/{id}": {
"get": {
"summary": "Get model details by ID",
"description": "Retrieves detailed information about a specific model, including its metadata and files",
"tags": [
"Models"
],
"parameters": [
{
"in": "path",
"name": "id",
"required": true,
"schema": {
"type": "string"
},
"description": "ID of the model to retrieve"
}
],
"responses": {
"200": {
"description": "Model details retrieved successfully",
"content": {
"application/json": {
"schema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string",
"description": "Unique identifier for the model"
},
"name": {
"type": "string",
"description": "Name of the model"
},
"metadata": {
"type": "object",
"properties": {
"numParameters": {
"type": "number",
"description": "Number of parameters in the model"
},
"contextWindowSize": {
"type": "number",
"description": "Maximum context window size in tokens"
},
"trainedFor": {
"$ref": "#/components/schemas/TrainedFor"
},
"description": {
"type": "string",
"description": "Detailed description of the model"
},
"license": {
"type": "string",
"description": "License under which the model is distributed"
},
"languages": {
"type": "array",
"items": {
"type": "string"
},
"description": "Languages supported by the model"
},
"last_updated": {
"type": "string",
"format": "date-time",
"description": "Date when the model was last updated"
},
"library_name": {
"type": "string",
"description": "Library or framework the model is designed for"
},
"model_type": {
"type": "string",
"description": "Type or architecture of the model"
},
"resources": {
"type": "object",
"properties": {
"canonicalUrl": {
"type": "string",
"description": "Official URL for the model"
},
"paperUrl": {
"type": "string",
"description": "URL to the research paper associated with the model"
}
}
},
"publisher": {
"type": "string",
"description": "Publisher or organization that released the model"
},
"files": {
"type": "array",
"items": {
"type": "object",
"properties": {
"id": {
"type": "string",
"description": "Unique identifier for the model file"
},
"name": {
"type": "string",
"description": "Name of the model file"
},
"downloadUrl": {
"type": "string",
"description": "URL to download the model file"
},
"sizeBytes": {
"type": "number",
"description": "Size of the model file in bytes"
},
"sha256checksum": {
"type": "string",
"description": "SHA-256 hash of the model file for integrity verification"
},
"quantization": {
"type": "string",
"description": "Quantization method used for the model"
},
"format": {
"type": "string",
"description": "File format of the model"
},
"maxRamUsage": {
"type": "number",
"description": "Maximum RAM required to run the model in bytes"
},
"isDownloaded": {
"type": "boolean",
"description": "Whether the model file has been downloaded locally"
},
"localPath": {
"type": "string",
"description": "Local file system path where the model is stored"
}
}
}
}
}
}
}
}
}
}
}
}
},
"404": {
"description": "Model not found",
# --- truncated at 32 KB (59 KB total) ---
# Full source: https://raw.githubusercontent.com/api-evangelist/anaconda/refs/heads/main/openapi/anaconda-ai-navigator-openapi-original.json
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