Lightspeed Core Service (LCS) service - OpenAPI

Lightspeed Core Service (LCS) service API specification.

🌍 Base URL

URL	Description
http://localhost:8080/	Locally running service

🛠️ APIs

List of REST API endpoints

Method	Path	Description
GET	`/`	Returns the static HTML index page
GET	`/v1/info`	Returns the service name, version and Llama-stack version
GET	`/v1/models`	List of available models
GET	`/v1/tools`	Consolidated list of available tools from all configured MCP servers
GET	`/v1/mcp-auth/client-options`	List of MCP servers configured to accept client-provided authorization tokens, along with the header names where clients should provide these tokens
GET	`/v1/mcp-servers`	List all registered MCP servers
POST	`/v1/mcp-servers`	Register an MCP server dynamically at runtime
DELETE	`/v1/mcp-servers/{name}`	Unregister a dynamically registered MCP server
GET	`/v1/shields`	List of available shields from the Llama Stack service
GET	`/v1/providers`	List all available providers grouped by API type
GET	`/v1/providers/{provider_id}`	Retrieve a single provider identified by its unique ID
GET	`/v1/rags`	List all available RAGs
GET	`/v1/rags/{rag_id}`	Retrieve a single RAG identified by its unique ID
POST	`/v1/query`	Processes a POST request to a query endpoint, forwarding the user's query to a selected Llama Stack LLM and returning the generated response
POST	`/v1/streaming_query`	Streaming response using Server-Sent Events (SSE) format with content type text/event-stream
GET	`/v1/config`	Returns the current service configuration
POST	`/v1/feedback`	Processes a user feedback submission, storing the feedback and returning a confirmation response
GET	`/v1/feedback/status`	Return the current enabled status of the feedback functionality
PUT	`/v1/feedback/status`	Change the feedback status: enables or disables it
GET	`/v1/conversations`	Retrieve all conversations for the authenticated user
GET	`/v1/conversations/{conversation_id}`	Retrieve a conversation by ID using Conversations API
DELETE	`/v1/conversations/{conversation_id}`	Delete a conversation by ID using Conversations API
PUT	`/v1/conversations/{conversation_id}`	Update a conversation metadata using Conversations API
GET	`/v2/conversations`	Retrieve all conversations for the authenticated user
GET	`/v2/conversations/{conversation_id}`	Retrieve a conversation identified by its ID
DELETE	`/v2/conversations/{conversation_id}`	Delete a conversation identified by its ID
PUT	`/v2/conversations/{conversation_id}`	Update a conversation topic summary by ID
POST	`/v1/infer`	Serves requests from the RHEL Lightspeed Command Line Assistant (CLA)
POST	`/v1/responses`	Handle request to the /responses endpoint using Responses API (LCORE specification)
GET	`/readiness`	Returns service readiness state
GET	`/liveness`	Returns liveness status of the service
POST	`/authorized`	Returns the authenticated user's ID and username
GET	`/metrics`	Returns the latest Prometheus metrics in a form of plain text
GET	`/.well-known/agent-card.json`	Serve the A2A Agent Card at the well-known location
GET	`/.well-known/agent.json`	Handle A2A JSON-RPC requests following the A2A protocol specification
GET	`/a2a`	Handle A2A JSON-RPC requests following the A2A protocol specification
POST	`/a2a`	Handle A2A JSON-RPC requests following the A2A protocol specification
GET	`/a2a/health`	Handle A2A JSON-RPC requests following the A2A protocol specification

GET `/`

Root Endpoint Handler

Handle GET requests to the root ("/") endpoint and returns the static HTML index page.

Returns: HTMLResponse: The HTML content of the index page, including a heading, embedded image with the service icon, and links to the API documentation via Swagger UI and ReDoc.

✅ Responses

Status Code	Description	Component
200	Successful Response	string
401	Unauthorized	UnauthorizedResponse
403	Permission denied	ForbiddenResponse

Examples

{
  "detail": {
    "cause": "No Authorization header found",
    "response": "Missing or invalid credentials provided by client"
  }
}

{
  "detail": {
    "cause": "No token found in Authorization header",
    "response": "Missing or invalid credentials provided by client"
  }
}

{
  "detail": {
    "cause": "User 6789 is not authorized to access this endpoint.",
    "response": "User does not have permission to access this endpoint"
  }
}

GET `/v1/info`

Info Endpoint Handler

Handle request to the /info endpoint.

Process GET requests to the /info endpoint, returning the service name, version and Llama-stack version.

Raises: HTTPException: with status 500 and a detail object containing response and cause when unable to connect to Llama Stack. It can also return status 401 or 403 for unauthorized access.

Returns: InfoResponse: An object containing the service's name and version.

✅ Responses

Status Code	Description	Component
200	Successful response	InfoResponse
401	Unauthorized	UnauthorizedResponse
403	Permission denied	ForbiddenResponse
503	Service unavailable	ServiceUnavailableResponse

Examples

{
  "detail": {
    "cause": "No Authorization header found",
    "response": "Missing or invalid credentials provided by client"
  }
}

{
  "detail": {
    "cause": "No token found in Authorization header",
    "response": "Missing or invalid credentials provided by client"
  }
}

{
  "detail": {
    "cause": "Token has expired",
    "response": "Missing or invalid credentials provided by client"
  }
}

{
  "detail": {
    "cause": "Invalid token signature",
    "response": "Missing or invalid credentials provided by client"
  }
}

{
  "detail": {
    "cause": "Token signed by unknown key",
    "response": "Missing or invalid credentials provided by client"
  }
}

{
  "detail": {
    "cause": "Token missing claim: user_id",
    "response": "Missing or invalid credentials provided by client"
  }
}

{
  "detail": {
    "cause": "Invalid or expired Kubernetes token",
    "response": "Missing or invalid credentials provided by client"
  }
}

{
  "detail": {
    "cause": "Authentication key server returned invalid data",
    "response": "Missing or invalid credentials provided by client"
  }
}

{
  "detail": {
    "cause": "User 6789 is not authorized to access this endpoint.",
    "response": "User does not have permission to access this endpoint"
  }
}

{
  "detail": {
    "cause": "Connection error while trying to reach backend service.",
    "response": "Unable to connect to Llama Stack"
  }
}

GET `/v1/models`

Models Endpoint Handler

Handle requests to the /models endpoint.

Process GET requests to the /models endpoint, returning a list of available models from the Llama Stack service. It is possible to specify "model_type" query parameter that is used as a filter. For example, if model type is set to "llm", only LLM models will be returned:

curl http://localhost:8080/v1/models?model_type=llm

The "model_type" query parameter is optional. When not specified, all models will be returned.

Parameters:

request: The incoming HTTP request.
auth: Authentication tuple from the auth dependency.
model_type: Optional filter to return only models matching this type.

Raises:

HTTPException: If unable to connect to the Llama Stack server or if
model retrieval fails for any reason.

Returns:

ModelsResponse: An object containing the list of available models.

🔗 Parameters

Name	Type	Required	Description
model_type		False	Optional filter to return only models matching this type

✅ Responses

Status Code	Description	Component
200	Successful response	ModelsResponse
401	Unauthorized	UnauthorizedResponse
403	Permission denied	ForbiddenResponse
500	Internal server error	InternalServerErrorResponse
503	Service unavailable	ServiceUnavailableResponse
422	Validation Error	HTTPValidationError

Examples

{
  "detail": {
    "cause": "No Authorization header found",
    "response": "Missing or invalid credentials provided by client"
  }
}

{
  "detail": {
    "cause": "No token found in Authorization header",
    "response": "Missing or invalid credentials provided by client"
  }
}

{
  "detail": {
    "cause": "User 6789 is not authorized to access this endpoint.",
    "response": "User does not have permission to access this endpoint"
  }
}

{
  "detail": {
    "cause": "Lightspeed Stack configuration has not been initialized.",
    "response": "Configuration is not loaded"
  }
}

{
  "detail": {
    "cause": "Connection error while trying to reach backend service.",
    "response": "Unable to connect to Llama Stack"
  }
}

GET `/v1/tools`

Tools Endpoint Handler

Handle requests to the /tools endpoint.

Process GET requests to the /tools endpoint, returning a consolidated list of available tools from all configured MCP servers.

Raises: HTTPException: If unable to connect to the Llama Stack server or if tool retrieval fails for any reason.

Returns: ToolsResponse: An object containing the consolidated list of available tools with metadata including tool name, description, parameters, and server source.

✅ Responses

Status Code	Description	Component
200	Successful response	ToolsResponse
401	Unauthorized	UnauthorizedResponse
403	Permission denied	ForbiddenResponse
500	Internal server error	InternalServerErrorResponse
503	Service unavailable	ServiceUnavailableResponse

Examples

{
  "detail": {
    "cause": "No Authorization header found",
    "response": "Missing or invalid credentials provided by client"
  }
}

{
  "detail": {
    "cause": "No token found in Authorization header",
    "response": "Missing or invalid credentials provided by client"
  }
}

{
  "detail": {
    "cause": "User 6789 is not authorized to access this endpoint.",
    "response": "User does not have permission to access this endpoint"
  }
}

{
  "detail": {
    "cause": "Lightspeed Stack configuration has not been initialized.",
    "response": "Configuration is not loaded"
  }
}

{
  "detail": {
    "cause": "Connection error while trying to reach backend service.",
    "response": "Unable to connect to Llama Stack"
  }
}

GET `/v1/mcp-auth/client-options`

Get Mcp Client Auth Options

Get MCP servers that accept client-provided authorization.

Returns a list of MCP servers configured to accept client-provided authorization tokens, along with the header names where clients should provide these tokens.

This endpoint helps clients discover which MCP servers they can authenticate with using their own tokens.

Args: request: The incoming HTTP request (used by middleware). auth: Authentication tuple from the auth dependency (used by middleware).

Returns: MCPClientAuthOptionsResponse: List of MCP servers and their accepted client authentication headers.

✅ Responses

Status Code	Description	Component
200	Successful response	MCPClientAuthOptionsResponse
401	Unauthorized	UnauthorizedResponse
403	Permission denied	ForbiddenResponse
500	Internal server error	InternalServerErrorResponse

Examples

{
  "detail": {
    "cause": "No Authorization header found",
    "response": "Missing or invalid credentials provided by client"
  }
}

{
  "detail": {
    "cause": "No token found in Authorization header",
    "response": "Missing or invalid credentials provided by client"
  }
}

{
  "detail": {
    "cause": "User 6789 is not authorized to access this endpoint.",
    "response": "User does not have permission to access this endpoint"
  }
}

{
  "detail": {
    "cause": "Lightspeed Stack configuration has not been initialized.",
    "response": "Configuration is not loaded"
  }
}

GET `/v1/mcp-servers`

List Mcp Servers Handler

List all registered MCP servers.

Returns both statically configured (from YAML) and dynamically registered (via API) MCP servers.

Raises: HTTPException: If configuration is not loaded.

Returns: MCPServerListResponse: List of all registered MCP servers with source info.

✅ Responses

Status Code	Description	Component
200	Successful response	MCPServerListResponse
401	Unauthorized	UnauthorizedResponse
403	Permission denied	ForbiddenResponse
500	Internal server error	InternalServerErrorResponse

Examples

{
  "detail": {
    "cause": "No Authorization header found",
    "response": "Missing or invalid credentials provided by client"
  }
}

{
  "detail": {
    "cause": "No token found in Authorization header",
    "response": "Missing or invalid credentials provided by client"
  }
}

{
  "detail": {
    "cause": "User 6789 is not authorized to access this endpoint.",
    "response": "User does not have permission to access this endpoint"
  }
}

{
  "detail": {
    "cause": "Lightspeed Stack configuration has not been initialized.",
    "response": "Configuration is not loaded"
  }
}

POST `/v1/mcp-servers`

Register Mcp Server Handler

Adds the MCP server to the runtime configuration and registers it as a toolgroup with Llama Stack so it becomes available for queries.

Raises: HTTPException: On duplicate name, Llama Stack connection error, or registration failure.

Returns: MCPServerRegistrationResponse: Details of the newly registered server.

📦 Request Body

MCPServerRegistrationRequest

✅ Responses

Status Code	Description	Component
201	Successful response	MCPServerRegistrationResponse
401	Unauthorized	UnauthorizedResponse
403	Permission denied	ForbiddenResponse
409	Resource already exists	ConflictResponse
500	Internal server error	InternalServerErrorResponse
503	Service unavailable	ServiceUnavailableResponse
422	Validation Error	HTTPValidationError

Examples

{
  "detail": {
    "cause": "No Authorization header found",
    "response": "Missing or invalid credentials provided by client"
  }
}

{
  "detail": {
    "cause": "No token found in Authorization header",
    "response": "Missing or invalid credentials provided by client"
  }
}

{
  "detail": {
    "cause": "User 6789 is not authorized to access this endpoint.",
    "response": "User does not have permission to access this endpoint"
  }
}

{
  "detail": {
    "cause": "Mcp Server with name 'test-mcp-server' is already registered",
    "response": "Mcp Server already exists"
  }
}

{
  "detail": {
    "cause": "Lightspeed Stack configuration has not been initialized.",
    "response": "Configuration is not loaded"
  }
}

{
  "detail": {
    "cause": "Connection error while trying to reach backend service.",
    "response": "Unable to connect to Llama Stack"
  }
}

DELETE `/v1/mcp-servers/{name}`

Delete Mcp Server Handler

Unregister a dynamically registered MCP server.

Removes the MCP server from the runtime configuration and unregisters its toolgroup from Llama Stack. Only servers registered via the API can be deleted; statically configured servers cannot be removed.

Raises: HTTPException: If the server is not found, is statically configured, or Llama Stack unregistration fails.

Returns: MCPServerDeleteResponse: Confirmation of the deletion.

🔗 Parameters

Name	Type	Required	Description
name	string	True

✅ Responses

Status Code	Description	Component
200	Successful response	MCPServerDeleteResponse
401	Unauthorized	UnauthorizedResponse
403	Permission denied	ForbiddenResponse
404	Resource not found	NotFoundResponse
500	Internal server error	InternalServerErrorResponse
503	Service unavailable	ServiceUnavailableResponse
422	Validation Error	HTTPValidationError

Examples

{
  "detail": {
    "cause": "No Authorization header found",
    "response": "Missing or invalid credentials provided by client"
  }
}

{
  "detail": {
    "cause": "No token found in Authorization header",
    "response": "Missing or invalid credentials provided by client"
  }
}

{
  "detail": {
    "cause": "User 6789 is not authorized to access this endpoint.",
    "response": "User does not have permission to access this endpoint"
  }
}

{
  "detail": {
    "cause": "Mcp Server with ID test-mcp-server does not exist",
    "response": "Mcp Server not found"
  }
}

{
  "detail": {
    "cause": "Lightspeed Stack configuration has not been initialized.",
    "response": "Configuration is not loaded"
  }
}

{
  "detail": {
    "cause": "Connection error while trying to reach backend service.",
    "response": "Unable to connect to Llama Stack"
  }
}

GET `/v1/shields`

Shields Endpoint Handler

Handle requests to the /shields endpoint.

Process GET requests to the /shields endpoint, returning a list of available shields from the Llama Stack service.

Raises: HTTPException: If unable to connect to the Llama Stack server or if shield retrieval fails for any reason.

Returns: ShieldsResponse: An object containing the list of available shields.

✅ Responses

Status Code	Description	Component
200	Successful response	ShieldsResponse
401	Unauthorized	UnauthorizedResponse
403	Permission denied	ForbiddenResponse
500	Internal server error	InternalServerErrorResponse
503	Service unavailable	ServiceUnavailableResponse

Examples

{
  "detail": {
    "cause": "No Authorization header found",
    "response": "Missing or invalid credentials provided by client"
  }
}

{
  "detail": {
    "cause": "No token found in Authorization header",
    "response": "Missing or invalid credentials provided by client"
  }
}

{
  "detail": {
    "cause": "User 6789 is not authorized to access this endpoint.",
    "response": "User does not have permission to access this endpoint"
  }
}

{
  "detail": {
    "cause": "Lightspeed Stack configuration has not been initialized.",
    "response": "Configuration is not loaded"
  }
}

{
  "detail": {
    "cause": "Connection error while trying to reach backend service.",
    "response": "Unable to connect to Llama Stack"
  }
}

GET `/v1/providers`

Providers Endpoint Handler

List all available providers grouped by API type.

Returns: ProvidersListResponse: Mapping from API type to list of providers.

Raises: HTTPException: - 401: Authentication failed - 403: Authorization failed - 500: Lightspeed Stack configuration not loaded - 503: Unable to connect to Llama Stack

✅ Responses

Status Code	Description	Component
200	Successful response	ProvidersListResponse
401	Unauthorized	UnauthorizedResponse
403	Permission denied	ForbiddenResponse
500	Internal server error	InternalServerErrorResponse
503	Service unavailable	ServiceUnavailableResponse

Examples

{
  "detail": {
    "cause": "No Authorization header found",
    "response": "Missing or invalid credentials provided by client"
  }
}

{
  "detail": {
    "cause": "No token found in Authorization header",
    "response": "Missing or invalid credentials provided by client"
  }
}

{
  "detail": {
    "cause": "User 6789 is not authorized to access this endpoint.",
    "response": "User does not have permission to access this endpoint"
  }
}

{
  "detail": {
    "cause": "Lightspeed Stack configuration has not been initialized.",
    "response": "Configuration is not loaded"
  }
}

{
  "detail": {
    "cause": "Connection error while trying to reach backend service.",
    "response": "Unable to connect to Llama Stack"
  }
}

GET `/v1/providers/{provider_id}`

Get Provider Endpoint Handler

Retrieve a single provider identified by its unique ID.

Returns: ProviderResponse: Provider details.

Raises: HTTPException: - 401: Authentication failed - 403: Authorization failed - 404: Provider not found - 500: Lightspeed Stack configuration not loaded - 503: Unable to connect to Llama Stack

🔗 Parameters

Name	Type	Required	Description
provider_id	string	True

✅ Responses

Status Code	Description	Component
200	Successful response	ProviderResponse
401	Unauthorized	UnauthorizedResponse
403	Permission denied	ForbiddenResponse
404	Resource not found	NotFoundResponse
500	Internal server error	InternalServerErrorResponse
503	Service unavailable	ServiceUnavailableResponse
422	Validation Error	HTTPValidationError

Examples

{
  "detail": {
    "cause": "No Authorization header found",
    "response": "Missing or invalid credentials provided by client"
  }
}

{
  "detail": {
    "cause": "No token found in Authorization header",
    "response": "Missing or invalid credentials provided by client"
  }
}

{
  "detail": {
    "cause": "User 6789 is not authorized to access this endpoint.",
    "response": "User does not have permission to access this endpoint"
  }
}

{
  "detail": {
    "cause": "Provider with ID openai does not exist",
    "response": "Provider not found"
  }
}

{
  "detail": {
    "cause": "Lightspeed Stack configuration has not been initialized.",
    "response": "Configuration is not loaded"
  }
}

{
  "detail": {
    "cause": "Connection error while trying to reach backend service.",
    "response": "Unable to connect to Llama Stack"
  }
}

GET `/v1/rags`

Rags Endpoint Handler

List all available RAGs.

Returns: RAGListResponse: List of RAG identifiers.

Raises: HTTPException: - 401: Authentication failed - 403: Authorization failed - 500: Lightspeed Stack configuration not loaded - 503: Unable to connect to Llama Stack

✅ Responses

Status Code	Description	Component
200	Successful response	RAGListResponse
401	Unauthorized	UnauthorizedResponse
403	Permission denied	ForbiddenResponse
500	Internal server error	InternalServerErrorResponse
503	Service unavailable	ServiceUnavailableResponse

Examples

{
  "detail": {
    "cause": "No Authorization header found",
    "response": "Missing or invalid credentials provided by client"
  }
}

{
  "detail": {
    "cause": "No token found in Authorization header",
    "response": "Missing or invalid credentials provided by client"
  }
}

{
  "detail": {
    "cause": "User 6789 is not authorized to access this endpoint.",
    "response": "User does not have permission to access this endpoint"
  }
}

{
  "detail": {
    "cause": "Lightspeed Stack configuration has not been initialized.",
    "response": "Configuration is not loaded"
  }
}

{
  "detail": {
    "cause": "Connection error while trying to reach backend service.",
    "response": "Unable to connect to Llama Stack"
  }
}

GET `/v1/rags/{rag_id}`

Get Rag Endpoint Handler

Retrieve a single RAG identified by its unique ID.

Accepts both user-facing rag_id (from LCORE config) and llama-stack vector_store_id. If a rag_id from config is provided, it is resolved to the underlying vector_store_id for the llama-stack lookup.

Returns: RAGInfoResponse: A single RAG's details.

Raises: HTTPException: - 401: Authentication failed - 403: Authorization failed - 404: RAG with the given ID not found - 500: Lightspeed Stack configuration not loaded - 503: Unable to connect to Llama Stack

🔗 Parameters

Name	Type	Required	Description
rag_id	string	True

✅ Responses

Status Code	Description	Component
200	Successful response	RAGInfoResponse
401	Unauthorized	UnauthorizedResponse
403	Permission denied	ForbiddenResponse
404	Resource not found	NotFoundResponse
500	Internal server error	InternalServerErrorResponse
503	Service unavailable	ServiceUnavailableResponse
422	Validation Error	HTTPValidationError

Examples

{
  "detail": {
    "cause": "No Authorization header found",
    "response": "Missing or invalid credentials provided by client"
  }
}

{
  "detail": {
    "cause": "No token found in Authorization header",
    "response": "Missing or invalid credentials provided by client"
  }
}

{
  "detail": {
    "cause": "User 6789 is not authorized to access this endpoint.",
    "response": "User does not have permission to access this endpoint"
  }
}

{
  "detail": {
    "cause": "Rag with ID vs_7b52a8cf-0fa3-489c-beab-27e061d102f3 does not exist",
    "response": "Rag not found"
  }
}

{
  "detail": {
    "cause": "Lightspeed Stack configuration has not been initialized.",
    "response": "Configuration is not loaded"
  }
}

{
  "detail": {
    "cause": "Connection error while trying to reach backend service.",
    "response": "Unable to connect to Llama Stack"
  }
}

POST `/v1/query`

Query Endpoint Handler

Handle request to the /query endpoint using Responses API.

Processes a POST request to a query endpoint, forwarding the user's query to a selected Llama Stack LLM and returning the generated response.

Returns: QueryResponse: Contains the conversation ID and the LLM-generated response.

Raises: HTTPException: - 401: Unauthorized - Missing or invalid credentials - 403: Forbidden - Insufficient permissions or model override not allowed - 404: Not Found - Conversation, model, or provider not found - 413: Prompt too long - Prompt exceeded model's context window size - 422: Unprocessable Entity - Request validation failed - 429: Quota limit exceeded - The token quota for model or user has been exceeded - 500: Internal Server Error - Configuration not loaded or other server errors - 503: Service Unavailable - Unable to connect to Llama Stack backend

📦 Request Body

QueryRequest

✅ Responses

Status Code	Description	Component
200	Successful response	QueryResponse
401	Unauthorized	UnauthorizedResponse
403	Permission denied	ForbiddenResponse
404	Resource not found	NotFoundResponse
422	Request validation failed	UnprocessableEntityResponse
429	Quota limit exceeded	QuotaExceededResponse
500	Internal server error	InternalServerErrorResponse
503	Service unavailable	ServiceUnavailableResponse

Examples

{
  "detail": {
    "cause": "No Authorization header found",
    "response": "Missing or invalid credentials provided by client"
  }
}

{
  "detail": {
    "cause": "No token found in Authorization header",
    "response": "Missing or invalid credentials provided by client"
  }
}

{
  "detail": {
    "cause": "User 6789 does not have permission to read conversation with ID 123e4567-e89b-12d3-a456-426614174000",
    "response": "User does not have permission to perform this action"
  }
}

{
  "detail": {
    "cause": "User 6789 is not authorized to access this endpoint.",
    "response": "User does not have permission to access this endpoint"
  }
}

{
  "detail": {
    "cause": "User lacks model_override permission required to override model/provider.",
    "response": "This instance does not permit overriding model/provider in the query request (missing permission: MODEL_OVERRIDE). Please remove the model and provider fields from your request."
  }
}

{
  "detail": {
    "cause": "Conversation with ID 123e4567-e89b-12d3-a456-426614174000 does not exist",
    "response": "Conversation not found"
  }
}

{
  "detail": {
    "cause": "Provider with ID openai does not exist",
    "response": "Provider not found"
  }
}

{
  "detail": {
    "cause": "Model with ID gpt-4-turbo is not configured",
    "response": "Model not found"
  }
}

{
  "detail": {
    "cause": "Invalid request format. The request body could not be parsed.",
    "response": "Invalid request format"
  }
}

{
  "detail": {
    "cause": "Missing required attributes: ['query', 'model', 'provider']",
    "response": "Missing required attributes"
  }
}

{
  "detail": {
    "cause": "Invalid attachment type: must be one of ['text/plain', 'application/json', 'application/yaml', 'application/xml']",
    "response": "Invalid attribute value"
  }
}

{
  "detail": {
    "cause": "The token quota for model gpt-4-turbo has been exceeded.",
    "response": "The model quota has been exceeded"
  }
}

{
  "detail": {
    "cause": "User 123 has no available tokens.",
    "response": "The quota has been exceeded"
  }
}

{
  "detail": {
    "cause": "Cluster has no available tokens.",
    "response": "The quota has been exceeded"
  }
}

{
  "detail": {
    "cause": "Unknown subject 999 has no available tokens.",
    "response": "The quota has been exceeded"
  }
}

{
  "detail": {
    "cause": "User 123 has 5 tokens, but 10 tokens are needed.",
    "response": "The quota has been exceeded"
  }
}

{
  "detail": {
    "cause": "Cluster has 500 tokens, but 900 tokens are needed.",
    "response": "The quota has been exceeded"
  }
}

{
  "detail": {
    "cause": "Unknown subject 999 has 3 tokens, but 6 tokens are needed.",
    "response": "The quota has been exceeded"
  }
}

{
  "detail": {
    "cause": "Lightspeed Stack configuration has not been initialized.",
    "response": "Configuration is not loaded"
  }
}

{
  "detail": {
    "cause": "Connection error while trying to reach backend service.",
    "response": "Unable to connect to Llama Stack"
  }
}

POST `/v1/streaming_query`

Streaming Query Endpoint Handler

Handle request to the /streaming_query endpoint using Responses API.

Returns a streaming response using Server-Sent Events (SSE) format with content type text/event-stream.

Returns: SSE-formatted events for the query lifecycle.

📦 Request Body

QueryRequest

✅ Responses

Status Code	Description	Component
200	Successful response	string
401	Unauthorized	UnauthorizedResponse
403	Permission denied	ForbiddenResponse
404	Resource not found	NotFoundResponse
422	Request validation failed	UnprocessableEntityResponse
429	Quota limit exceeded	QuotaExceededResponse
500	Internal server error	InternalServerErrorResponse
503	Service unavailable	ServiceUnavailableResponse

Examples

{
  "detail": {
    "cause": "No Authorization header found",
    "response": "Missing or invalid credentials provided by client"
  }
}

{
  "detail": {
    "cause": "No token found in Authorization header",
    "response": "Missing or invalid credentials provided by client"
  }
}

{
  "detail": {
    "cause": "User 6789 does not have permission to read conversation with ID 123e4567-e89b-12d3-a456-426614174000",
    "response": "User does not have permission to perform this action"
  }
}

{
  "detail": {
    "cause": "User 6789 is not authorized to access this endpoint.",
    "response": "User does not have permission to access this endpoint"
  }
}

{
  "detail": {
    "cause": "User lacks model_override permission required to override model/provider.",
    "response": "This instance does not permit overriding model/provider in the query request (missing permission: MODEL_OVERRIDE). Please remove the model and provider fields from your request."
  }
}

{
  "detail": {
    "cause": "Conversation with ID 123e4567-e89b-12d3-a456-426614174000 does not exist",
    "response": "Conversation not found"
  }
}

{
  "detail": {
    "cause": "Provider with ID openai does not exist",
    "response": "Provider not found"
  }
}

{
  "detail": {
    "cause": "Model with ID gpt-4-turbo is not configured",
    "response": "Model not found"
  }
}

{
  "detail": {
    "cause": "Invalid request format. The request body could not be parsed.",
    "response": "Invalid request format"
  }
}

{
  "detail": {
    "cause": "Missing required attributes: ['query', 'model', 'provider']",
    "response": "Missing required attributes"
  }
}

{
  "detail": {
    "cause": "Invalid attachment type: must be one of ['text/plain', 'application/json', 'application/yaml', 'application/xml']",
    "response": "Invalid attribute value"
  }
}

{
  "detail": {
    "cause": "The token quota for model gpt-4-turbo has been exceeded.",
    "response": "The model quota has been exceeded"
  }
}

{
  "detail": {
    "cause": "User 123 has no available tokens.",
    "response": "The quota has been exceeded"
  }
}

{
  "detail": {
    "cause": "Cluster has no available tokens.",
    "response": "The quota has been exceeded"
  }
}

{
  "detail": {
    "cause": "Unknown subject 999 has no available tokens.",
    "response": "The quota has been exceeded"
  }
}

{
  "detail": {
    "cause": "User 123 has 5 tokens, but 10 tokens are needed.",
    "response": "The quota has been exceeded"
  }
}

{
  "detail": {
    "cause": "Cluster has 500 tokens, but 900 tokens are needed.",
    "response": "The quota has been exceeded"
  }
}

{
  "detail": {
    "cause": "Unknown subject 999 has 3 tokens, but 6 tokens are needed.",
    "response": "The quota has been exceeded"
  }
}

{
  "detail": {
    "cause": "Lightspeed Stack configuration has not been initialized.",
    "response": "Configuration is not loaded"
  }
}

{
  "detail": {
    "cause": "Connection error while trying to reach backend service.",
    "response": "Unable to connect to Llama Stack"
  }
}

POST `/v1/streaming_query/interrupt`

Streaming Query Interrupt Endpoint Handler

Interrupt an in-progress streaming query by request identifier.

Parameters: interrupt_request: Request payload containing the stream request ID. auth: Auth context tuple resolved from the authentication dependency. registry: Stream interrupt registry dependency used to cancel streams.

Returns: StreamingInterruptResponse: Confirmation payload when interruption succeeds.

Raises: HTTPException: If no active stream for the given request ID can be interrupted.

📦 Request Body

StreamingInterruptRequest

✅ Responses

Status Code	Description	Component
200	Successful response	StreamingInterruptResponse
401	Unauthorized	UnauthorizedResponse
403	Permission denied	ForbiddenResponse
404	Resource not found	NotFoundResponse
422	Validation Error	HTTPValidationError

{
  "detail": {
    "cause": "No Authorization header found",
    "response": "Missing or invalid credentials provided by client"
  }
}

{
  "detail": {
    "cause": "No token found in Authorization header",
    "response": "Missing or invalid credentials provided by client"
  }
}

{
  "detail": {
    "cause": "User 6789 is not authorized to access this endpoint.",
    "response": "User does not have permission to access this endpoint"
  }
}

{
  "detail": {
    "cause": "Streaming Request with ID 123e4567-e89b-12d3-a456-426614174000 does not exist",
    "response": "Streaming Request not found"
  }
}

GET `/v1/config`

Config Endpoint Handler

Handle requests to the /config endpoint.

Process GET requests to the /config endpoint and returns the current service configuration.

Ensures the application configuration is loaded before returning it.

Returns: ConfigurationResponse: The loaded service configuration response.

✅ Responses

Status Code	Description	Component
200	Successful response	ConfigurationResponse
401	Unauthorized	UnauthorizedResponse
403	Permission denied	ForbiddenResponse
500	Internal server error	InternalServerErrorResponse

Examples

{
  "detail": {
    "cause": "No Authorization header found",
    "response": "Missing or invalid credentials provided by client"
  }
}

{
  "detail": {
    "cause": "No token found in Authorization header",
    "response": "Missing or invalid credentials provided by client"
  }
}

{
  "detail": {
    "cause": "User 6789 is not authorized to access this endpoint.",
    "response": "User does not have permission to access this endpoint"
  }
}

{
  "detail": {
    "cause": "Lightspeed Stack configuration has not been initialized.",
    "response": "Configuration is not loaded"
  }
}

POST `/v1/feedback`

Feedback Endpoint Handler

Handle feedback requests.

Processes a user feedback submission, storing the feedback and returning a confirmation response.

Args: feedback_request: The request containing feedback information. ensure_feedback_enabled: The feedback handler (FastAPI Depends) that will handle feedback status checks. auth: The Authentication handler (FastAPI Depends) that will handle authentication Logic.

Returns: Response indicating the status of the feedback storage request.

Raises: HTTPException: Returns HTTP 404 if conversation does not exist. HTTPException: Returns HTTP 403 if conversation belongs to a different user. HTTPException: Returns HTTP 500 if feedback storage fails.

📦 Request Body

FeedbackRequest

✅ Responses

Status Code	Description	Component
200	Successful response	FeedbackResponse
401	Unauthorized	UnauthorizedResponse
403	Permission denied	ForbiddenResponse
404	Resource not found	NotFoundResponse
500	Internal server error	InternalServerErrorResponse
422	Validation Error	HTTPValidationError

Examples

{
  "detail": {
    "cause": "No Authorization header found",
    "response": "Missing or invalid credentials provided by client"
  }
}

{
  "detail": {
    "cause": "No token found in Authorization header",
    "response": "Missing or invalid credentials provided by client"
  }
}

{
  "detail": {
    "cause": "User 6789 is not authorized to access this endpoint.",
    "response": "User does not have permission to access this endpoint"
  }
}

{
  "detail": {
    "cause": "Storing feedback is disabled.",
    "response": "Storing feedback is disabled"
  }
}

{
  "detail": {
    "cause": "Conversation with ID 123e4567-e89b-12d3-a456-426614174000 does not exist",
    "response": "Conversation not found"
  }
}

{
  "detail": {
    "cause": "Lightspeed Stack configuration has not been initialized.",
    "response": "Configuration is not loaded"
  }
}

{
  "detail": {
    "cause": "Failed to store feedback at directory: /path/example",
    "response": "Failed to store feedback"
  }
}

GET `/v1/feedback/status`

Feedback Status

Handle feedback status requests.

Return the current enabled status of the feedback functionality.

Returns: StatusResponse: Indicates whether feedback collection is enabled.

✅ Responses

Status Code	Description	Component
200	Successful response	StatusResponse

PUT `/v1/feedback/status`

Update Feedback Status

Handle feedback status update requests.

Takes a request with the desired state of the feedback status. Returns the updated state of the feedback status based on the request's value. These changes are for the life of the service and are on a per-worker basis.

Returns: FeedbackStatusUpdateResponse: Indicates whether feedback is enabled.

📦 Request Body

FeedbackStatusUpdateRequest

✅ Responses

Status Code	Description	Component
200	Successful response	FeedbackStatusUpdateResponse
401	Unauthorized	UnauthorizedResponse
403	Permission denied	ForbiddenResponse
500	Internal server error	InternalServerErrorResponse
422	Validation Error	HTTPValidationError

Examples

{
  "detail": {
    "cause": "No Authorization header found",
    "response": "Missing or invalid credentials provided by client"
  }
}

{
  "detail": {
    "cause": "No token found in Authorization header",
    "response": "Missing or invalid credentials provided by client"
  }
}

{
  "detail": {
    "cause": "User 6789 is not authorized to access this endpoint.",
    "response": "User does not have permission to access this endpoint"
  }
}

{
  "detail": {
    "cause": "Lightspeed Stack configuration has not been initialized.",
    "response": "Configuration is not loaded"
  }
}

GET `/v1/conversations`

Conversations List Endpoint Handler V1

Handle request to retrieve all conversations for the authenticated user.

✅ Responses

Status Code	Description	Component
200	Successful response	ConversationsListResponse
401	Unauthorized	UnauthorizedResponse
403	Permission denied	ForbiddenResponse
500	Internal server error	InternalServerErrorResponse

Examples

{
  "detail": {
    "cause": "No Authorization header found",
    "response": "Missing or invalid credentials provided by client"
  }
}

{
  "detail": {
    "cause": "No token found in Authorization header",
    "response": "Missing or invalid credentials provided by client"
  }
}

{
  "detail": {
    "cause": "User 6789 is not authorized to access this endpoint.",
    "response": "User does not have permission to access this endpoint"
  }
}

{
  "detail": {
    "cause": "Lightspeed Stack configuration has not been initialized.",
    "response": "Configuration is not loaded"
  }
}

{
  "detail": {
    "cause": "Failed to query the database",
    "response": "Database query failed"
  }
}

GET `/v1/conversations/{conversation_id}`

Conversation Get Endpoint Handler V1

Handle request to retrieve a conversation identified by ID using Conversations API.

Retrieve a conversation's chat history by its ID using the LlamaStack Conversations API. This endpoint fetches the conversation items from the backend, simplifies them to essential chat history, and returns them in a structured response. Raises HTTP 400 for invalid IDs, 404 if not found, 503 if the backend is unavailable, and 500 for unexpected errors.

Args: request: The FastAPI request object conversation_id: Unique identifier of the conversation to retrieve auth: Authentication tuple from dependency

Returns: ConversationResponse: Structured response containing the conversation ID and simplified chat history

🔗 Parameters

Name	Type	Required	Description
conversation_id	string	True

✅ Responses

Status Code	Description	Component
200	Successful response	ConversationResponse
400	Invalid request format	BadRequestResponse
401	Unauthorized	UnauthorizedResponse
403	Permission denied	ForbiddenResponse
404	Resource not found	NotFoundResponse
500	Internal server error	InternalServerErrorResponse
503	Service unavailable	ServiceUnavailableResponse
422	Validation Error	HTTPValidationError

Examples

{
  "detail": {
    "cause": "The conversation ID 123e4567-e89b-12d3-a456-426614174000 has invalid format.",
    "response": "Invalid conversation ID format"
  }
}

{
  "detail": {
    "cause": "No Authorization header found",
    "response": "Missing or invalid credentials provided by client"
  }
}

{
  "detail": {
    "cause": "No token found in Authorization header",
    "response": "Missing or invalid credentials provided by client"
  }
}

{
  "detail": {
    "cause": "User 6789 does not have permission to read conversation with ID 123e4567-e89b-12d3-a456-426614174000",
    "response": "User does not have permission to perform this action"
  }
}

{
  "detail": {
    "cause": "User 6789 is not authorized to access this endpoint.",
    "response": "User does not have permission to access this endpoint"
  }
}

{
  "detail": {
    "cause": "Conversation with ID 123e4567-e89b-12d3-a456-426614174000 does not exist",
    "response": "Conversation not found"
  }
}

{
  "detail": {
    "cause": "Lightspeed Stack configuration has not been initialized.",
    "response": "Configuration is not loaded"
  }
}

{
  "detail": {
    "cause": "Failed to query the database",
    "response": "Database query failed"
  }
}

{
  "detail": {
    "cause": "Connection error while trying to reach backend service.",
    "response": "Unable to connect to Llama Stack"
  }
}

DELETE `/v1/conversations/{conversation_id}`

Conversation Delete Endpoint Handler V1

Handle request to delete a conversation by ID using Conversations API.

Validates the conversation ID format and attempts to delete the conversation from the Llama Stack backend using the Conversations API. Raises HTTP errors for invalid IDs, not found conversations, connection issues, or unexpected failures.

Args: request: The FastAPI request object conversation_id: Unique identifier of the conversation to delete auth: Authentication tuple from dependency

Returns: ConversationDeleteResponse: Response indicating the result of the deletion operation

🔗 Parameters

Name	Type	Required	Description
conversation_id	string	True

✅ Responses

Status Code	Description	Component
200	Successful response	ConversationDeleteResponse
400	Invalid request format	BadRequestResponse
401	Unauthorized	UnauthorizedResponse
403	Permission denied	ForbiddenResponse
500	Internal server error	InternalServerErrorResponse
503	Service unavailable	ServiceUnavailableResponse
422	Validation Error	HTTPValidationError

Examples

{
  "conversation_id": "123e4567-e89b-12d3-a456-426614174000",
  "response": "Conversation deleted successfully",
  "success": true
}

{
  "conversation_id": "123e4567-e89b-12d3-a456-426614174000",
  "response": "Conversation can not be deleted",
  "success": true
}

{
  "detail": {
    "cause": "The conversation ID 123e4567-e89b-12d3-a456-426614174000 has invalid format.",
    "response": "Invalid conversation ID format"
  }
}

{
  "detail": {
    "cause": "No Authorization header found",
    "response": "Missing or invalid credentials provided by client"
  }
}

{
  "detail": {
    "cause": "No token found in Authorization header",
    "response": "Missing or invalid credentials provided by client"
  }
}

{
  "detail": {
    "cause": "User 6789 does not have permission to delete conversation with ID 123e4567-e89b-12d3-a456-426614174000",
    "response": "User does not have permission to perform this action"
  }
}

{
  "detail": {
    "cause": "User 6789 is not authorized to access this endpoint.",
    "response": "User does not have permission to access this endpoint"
  }
}

{
  "detail": {
    "cause": "Lightspeed Stack configuration has not been initialized.",
    "response": "Configuration is not loaded"
  }
}

{
  "detail": {
    "cause": "Failed to query the database",
    "response": "Database query failed"
  }
}

{
  "detail": {
    "cause": "Connection error while trying to reach backend service.",
    "response": "Unable to connect to Llama Stack"
  }
}

PUT `/v1/conversations/{conversation_id}`

Conversation Update Endpoint Handler V1

Handle request to update a conversation metadata using Conversations API.

Updates the conversation metadata (including topic summary) in both the LlamaStack backend using the Conversations API and the local database.

Args: request: The FastAPI request object conversation_id: Unique identifier of the conversation to update update_request: Request containing the topic summary to update auth: Authentication tuple from dependency

Returns: ConversationUpdateResponse: Response indicating the result of the update operation

🔗 Parameters

Name	Type	Required	Description
conversation_id	string	True

📦 Request Body

ConversationUpdateRequest

✅ Responses

Status Code	Description	Component
200	Successful response	ConversationUpdateResponse
400	Invalid request format	BadRequestResponse
401	Unauthorized	UnauthorizedResponse
403	Permission denied	ForbiddenResponse
404	Resource not found	NotFoundResponse
500	Internal server error	InternalServerErrorResponse
503	Service unavailable	ServiceUnavailableResponse
422	Validation Error	HTTPValidationError

Examples

{
  "detail": {
    "cause": "The conversation ID 123e4567-e89b-12d3-a456-426614174000 has invalid format.",
    "response": "Invalid conversation ID format"
  }
}

{
  "detail": {
    "cause": "No Authorization header found",
    "response": "Missing or invalid credentials provided by client"
  }
}

{
  "detail": {
    "cause": "No token found in Authorization header",
    "response": "Missing or invalid credentials provided by client"
  }
}

{
  "detail": {
    "cause": "User 6789 is not authorized to access this endpoint.",
    "response": "User does not have permission to access this endpoint"
  }
}

{
  "detail": {
    "cause": "Conversation with ID 123e4567-e89b-12d3-a456-426614174000 does not exist",
    "response": "Conversation not found"
  }
}

{
  "detail": {
    "cause": "Lightspeed Stack configuration has not been initialized.",
    "response": "Configuration is not loaded"
  }
}

{
  "detail": {
    "cause": "Failed to query the database",
    "response": "Database query failed"
  }
}

{
  "detail": {
    "cause": "Connection error while trying to reach backend service.",
    "response": "Unable to connect to Llama Stack"
  }
}

GET `/v2/conversations`

Get Conversations List Endpoint Handler

Handle request to retrieve all conversations for the authenticated user.

✅ Responses

Status Code	Description	Component
200	Successful response	ConversationsListResponseV2
401	Unauthorized	UnauthorizedResponse
403	Permission denied	ForbiddenResponse
500	Internal server error	InternalServerErrorResponse

Examples

{
  "detail": {
    "cause": "No Authorization header found",
    "response": "Missing or invalid credentials provided by client"
  }
}

{
  "detail": {
    "cause": "No token found in Authorization header",
    "response": "Missing or invalid credentials provided by client"
  }
}

{
  "detail": {
    "cause": "User 6789 is not authorized to access this endpoint.",
    "response": "User does not have permission to access this endpoint"
  }
}

{
  "detail": {
    "cause": "Lightspeed Stack configuration has not been initialized.",
    "response": "Configuration is not loaded"
  }
}

{
  "detail": {
    "cause": "Conversation cache is not configured or unavailable.",
    "response": "Conversation cache not configured"
  }
}

GET `/v2/conversations/{conversation_id}`

Get Conversation Endpoint Handler

Handle request to retrieve a conversation identified by its ID.

🔗 Parameters

Name	Type	Required	Description
conversation_id	string	True

✅ Responses

Status Code	Description	Component
200	Successful response	ConversationResponse
400	Invalid request format	BadRequestResponse
401	Unauthorized	UnauthorizedResponse
403	Permission denied	ForbiddenResponse
404	Resource not found	NotFoundResponse
500	Internal server error	InternalServerErrorResponse
422	Validation Error	HTTPValidationError

Examples

{
  "detail": {
    "cause": "The conversation ID 123e4567-e89b-12d3-a456-426614174000 has invalid format.",
    "response": "Invalid conversation ID format"
  }
}

{
  "detail": {
    "cause": "No Authorization header found",
    "response": "Missing or invalid credentials provided by client"
  }
}

{
  "detail": {
    "cause": "No token found in Authorization header",
    "response": "Missing or invalid credentials provided by client"
  }
}

{
  "detail": {
    "cause": "User 6789 is not authorized to access this endpoint.",
    "response": "User does not have permission to access this endpoint"
  }
}

{
  "detail": {
    "cause": "Conversation with ID 123e4567-e89b-12d3-a456-426614174000 does not exist",
    "response": "Conversation not found"
  }
}

{
  "detail": {
    "cause": "Lightspeed Stack configuration has not been initialized.",
    "response": "Configuration is not loaded"
  }
}

{
  "detail": {
    "cause": "Conversation cache is not configured or unavailable.",
    "response": "Conversation cache not configured"
  }
}

DELETE `/v2/conversations/{conversation_id}`

Delete Conversation Endpoint Handler

Handle request to delete a conversation by ID.

🔗 Parameters

Name	Type	Required	Description
conversation_id	string	True

✅ Responses

Status Code	Description	Component
200	Successful response	ConversationDeleteResponse
400	Invalid request format	BadRequestResponse
401	Unauthorized	UnauthorizedResponse
403	Permission denied	ForbiddenResponse
500	Internal server error	InternalServerErrorResponse
422	Validation Error	HTTPValidationError

Examples

{
  "conversation_id": "123e4567-e89b-12d3-a456-426614174000",
  "response": "Conversation deleted successfully",
  "success": true
}

{
  "conversation_id": "123e4567-e89b-12d3-a456-426614174000",
  "response": "Conversation can not be deleted",
  "success": true
}

{
  "detail": {
    "cause": "The conversation ID 123e4567-e89b-12d3-a456-426614174000 has invalid format.",
    "response": "Invalid conversation ID format"
  }
}

{
  "detail": {
    "cause": "No Authorization header found",
    "response": "Missing or invalid credentials provided by client"
  }
}

{
  "detail": {
    "cause": "No token found in Authorization header",
    "response": "Missing or invalid credentials provided by client"
  }
}

{
  "detail": {
    "cause": "User 6789 is not authorized to access this endpoint.",
    "response": "User does not have permission to access this endpoint"
  }
}

{
  "detail": {
    "cause": "Lightspeed Stack configuration has not been initialized.",
    "response": "Configuration is not loaded"
  }
}

{
  "detail": {
    "cause": "Conversation cache is not configured or unavailable.",
    "response": "Conversation cache not configured"
  }
}

PUT `/v2/conversations/{conversation_id}`

Update Conversation Endpoint Handler

Handle request to update a conversation topic summary by ID.

🔗 Parameters

Name	Type	Required	Description
conversation_id	string	True

📦 Request Body

ConversationUpdateRequest

✅ Responses

Status Code	Description	Component
200	Successful response	ConversationUpdateResponse
400	Invalid request format	BadRequestResponse
401	Unauthorized	UnauthorizedResponse
403	Permission denied	ForbiddenResponse
404	Resource not found	NotFoundResponse
500	Internal server error	InternalServerErrorResponse
422	Validation Error	HTTPValidationError

Examples

{
  "detail": {
    "cause": "The conversation ID 123e4567-e89b-12d3-a456-426614174000 has invalid format.",
    "response": "Invalid conversation ID format"
  }
}

{
  "detail": {
    "cause": "No Authorization header found",
    "response": "Missing or invalid credentials provided by client"
  }
}

{
  "detail": {
    "cause": "No token found in Authorization header",
    "response": "Missing or invalid credentials provided by client"
  }
}

{
  "detail": {
    "cause": "User 6789 is not authorized to access this endpoint.",
    "response": "User does not have permission to access this endpoint"
  }
}

{
  "detail": {
    "cause": "Conversation with ID 123e4567-e89b-12d3-a456-426614174000 does not exist",
    "response": "Conversation not found"
  }
}

{
  "detail": {
    "cause": "Lightspeed Stack configuration has not been initialized.",
    "response": "Configuration is not loaded"
  }
}

{
  "detail": {
    "cause": "Conversation cache is not configured or unavailable.",
    "response": "Conversation cache not configured"
  }
}

POST `/v1/responses`

Responses Endpoint Handler

Handle request to the /responses endpoint using Responses API (LCORE specification).

Processes a POST request to the responses endpoint, forwarding the user's request to a selected Llama Stack LLM and returning the generated response following the LCORE OpenAPI specification.

Returns: ResponsesResponse: Contains the response following LCORE specification (non-streaming). StreamingResponse: SSE-formatted streaming response with enriched events (streaming). - response.created event includes conversation attribute - response.completed event includes available_quotas attribute

📦 Request Body

ResponsesRequest

✅ Responses

Status Code	Description	Component
200	Successful response	ResponsesResponse
401	Unauthorized	UnauthorizedResponse
403	Permission denied	ForbiddenResponse
404	Resource not found	NotFoundResponse
413	Prompt is too long	PromptTooLongResponse
422	Request validation failed	UnprocessableEntityResponse
429	Quota limit exceeded	QuotaExceededResponse
503	Service unavailable	ServiceUnavailableResponse
500	Internal server error	InternalServerErrorResponse

"event: response.created\ndata: {\"type\":\"response.created\",\"sequence_number\":0,\"response\":{\"id\":\"resp_abc\",\"created_at\":1704067200,\"status\":\"in_progress\",\"output\":[],\"conversation\":\"0d21ba731f21f798dc9680125d5d6f49\",\"available_quotas\":{},\"output_text\":\"\"}}\n\nevent: response.output_item.added\ndata: {\"response_id\":\"resp_abc\",\"item\":{\"type\":\"message\",\"role\":\"assistant\",\"content\":[{\"type\":\"output_text\",\"text\":\"Hello! How can I help?\"}]},\"output_index\":0,\"sequence_number\":1}\n\nevent: response.output_item.done\ndata: {\"response_id\":\"resp_abc\",\"item\":{\"type\":\"message\",\"role\":\"assistant\",\"content\":[{\"type\":\"output_text\",\"text\":\"Hello! How can I help?\"}]},\"output_index\":0,\"sequence_number\":2}\n\nevent: response.completed\ndata: {\"type\":\"response.completed\",\"sequence_number\":3,\"response\":{\"id\":\"resp_abc\",\"created_at\":1704067200,\"completed_at\":1704067250,\"status\":\"completed\",\"output\":[{\"type\":\"message\",\"role\":\"assistant\",\"content\":[{\"type\":\"output_text\",\"text\":\"Hello! How can I help?\"}]}],\"usage\":{\"input_tokens\":10,\"output_tokens\":6,\"total_tokens\":16},\"conversation\":\"0d21ba731f21f798dc9680125d5d6f49\",\"available_quotas\":{\"daily\":1000,\"monthly\":50000},\"output_text\":\"Hello! How can I help?\"}}\n\ndata: [DONE]\n\n"

{
  "detail": {
    "cause": "No Authorization header found",
    "response": "Missing or invalid credentials provided by client"
  }
}

{
  "detail": {
    "cause": "No token found in Authorization header",
    "response": "Missing or invalid credentials provided by client"
  }
}

{
  "detail": {
    "cause": "User 6789 does not have permission to read conversation with ID 123e4567-e89b-12d3-a456-426614174000",
    "response": "User does not have permission to perform this action"
  }
}

{
  "detail": {
    "cause": "User 6789 is not authorized to access this endpoint.",
    "response": "User does not have permission to access this endpoint"
  }
}

{
  "detail": {
    "cause": "User lacks model_override permission required to override model/provider.",
    "response": "This instance does not permit overriding model/provider in the query request (missing permission: MODEL_OVERRIDE). Please remove the model and provider fields from your request."
  }
}

{
  "detail": {
    "cause": "Conversation with ID 123e4567-e89b-12d3-a456-426614174000 does not exist",
    "response": "Conversation not found"
  }
}

{
  "detail": {
    "cause": "Provider with ID openai does not exist",
    "response": "Provider not found"
  }
}

{
  "detail": {
    "cause": "Model with ID gpt-4-turbo is not configured",
    "response": "Model not found"
  }
}

{
  "detail": {
    "cause": "The prompt exceeds the maximum allowed length.",
    "response": "Prompt is too long"
  }
}

{
  "detail": {
    "cause": "Invalid request format. The request body could not be parsed.",
    "response": "Invalid request format"
  }
}

{
  "detail": {
    "cause": "Missing required attributes: ['query', 'model', 'provider']",
    "response": "Missing required attributes"
  }
}

{
  "detail": {
    "cause": "Invalid attachment type: must be one of ['text/plain', 'application/json', 'application/yaml', 'application/xml']",
    "response": "Invalid attribute value"
  }
}

{
  "detail": {
    "cause": "The token quota for model gpt-4-turbo has been exceeded.",
    "response": "The model quota has been exceeded"
  }
}

{
  "detail": {
    "cause": "User 123 has no available tokens.",
    "response": "The quota has been exceeded"
  }
}

{
  "detail": {
    "cause": "Cluster has no available tokens.",
    "response": "The quota has been exceeded"
  }
}

{
  "detail": {
    "cause": "Unknown subject 999 has no available tokens.",
    "response": "The quota has been exceeded"
  }
}

{
  "detail": {
    "cause": "User 123 has 5 tokens, but 10 tokens are needed.",
    "response": "The quota has been exceeded"
  }
}

{
  "detail": {
    "cause": "Cluster has 500 tokens, but 900 tokens are needed.",
    "response": "The quota has been exceeded"
  }
}

{
  "detail": {
    "cause": "Unknown subject 999 has 3 tokens, but 6 tokens are needed.",
    "response": "The quota has been exceeded"
  }
}

{
  "detail": {
    "cause": "Lightspeed Stack configuration has not been initialized.",
    "response": "Configuration is not loaded"
  }
}

{
  "detail": {
    "cause": "Connection error while trying to reach backend service.",
    "response": "Unable to connect to Llama Stack"
  }
}

POST `/v1/infer`

Infer Endpoint

Handle rlsapi v1 /infer requests for stateless inference.

This endpoint serves requests from the RHEL Lightspeed Command Line Assistant (CLA).

Accepts a question with optional context (stdin, attachments, terminal output, system info) and returns an LLM-generated response.

Args: infer_request: The inference request containing question and context. request: The FastAPI request object for accessing headers and state. background_tasks: FastAPI background tasks for async Splunk event sending. auth: Authentication tuple from the configured auth provider.

Returns: RlsapiV1InferResponse containing the generated response text and request ID.

Raises: HTTPException: 503 if the LLM service is unavailable.

📦 Request Body

RlsapiV1InferRequest

✅ Responses

Status Code	Description	Component
200	Successful response	RlsapiV1InferResponse
401	Unauthorized	UnauthorizedResponse
403	Permission denied	ForbiddenResponse
413	Prompt is too long	PromptTooLongResponse
422	Request validation failed	UnprocessableEntityResponse
429	Quota limit exceeded	QuotaExceededResponse
500	Internal server error	InternalServerErrorResponse
503	Service unavailable	ServiceUnavailableResponse

Examples

{
  "detail": {
    "cause": "No Authorization header found",
    "response": "Missing or invalid credentials provided by client"
  }
}

{
  "detail": {
    "cause": "No token found in Authorization header",
    "response": "Missing or invalid credentials provided by client"
  }
}

{
  "detail": {
    "cause": "User 6789 is not authorized to access this endpoint.",
    "response": "User does not have permission to access this endpoint"
  }
}

{
  "detail": {
    "cause": "The prompt exceeds the maximum allowed length.",
    "response": "Prompt is too long"
  }
}

{
  "detail": {
    "cause": "Invalid request format. The request body could not be parsed.",
    "response": "Invalid request format"
  }
}

{
  "detail": {
    "cause": "Missing required attributes: ['query', 'model', 'provider']",
    "response": "Missing required attributes"
  }
}

{
  "detail": {
    "cause": "Invalid attachment type: must be one of ['text/plain', 'application/json', 'application/yaml', 'application/xml']",
    "response": "Invalid attribute value"
  }
}

{
  "detail": {
    "cause": "The token quota for model gpt-4-turbo has been exceeded.",
    "response": "The model quota has been exceeded"
  }
}

{
  "detail": {
    "cause": "User 123 has no available tokens.",
    "response": "The quota has been exceeded"
  }
}

{
  "detail": {
    "cause": "Cluster has no available tokens.",
    "response": "The quota has been exceeded"
  }
}

{
  "detail": {
    "cause": "Unknown subject 999 has no available tokens.",
    "response": "The quota has been exceeded"
  }
}

{
  "detail": {
    "cause": "User 123 has 5 tokens, but 10 tokens are needed.",
    "response": "The quota has been exceeded"
  }
}

{
  "detail": {
    "cause": "Cluster has 500 tokens, but 900 tokens are needed.",
    "response": "The quota has been exceeded"
  }
}

{
  "detail": {
    "cause": "Unknown subject 999 has 3 tokens, but 6 tokens are needed.",
    "response": "The quota has been exceeded"
  }
}

{
  "detail": {
    "cause": "Connection error while trying to reach backend service.",
    "response": "Unable to connect to Llama Stack"
  }
}

GET `/readiness`

Readiness Probe Get Method

Handle the readiness probe endpoint, returning service readiness.

If any provider reports an error status, responds with HTTP 503 and details of unhealthy providers; otherwise, indicates the service is ready.

Returns: ReadinessResponse: Object with ready indicating overall readiness, reason explaining the outcome, and providers containing the list of unhealthy ProviderHealthStatus entries (empty when ready).

✅ Responses

Status Code	Description	Component
200	Successful response	ReadinessResponse
401	Unauthorized	UnauthorizedResponse
403	Permission denied	ForbiddenResponse
503	Service unavailable	ServiceUnavailableResponse

Examples

{
  "detail": {
    "cause": "No Authorization header found",
    "response": "Missing or invalid credentials provided by client"
  }
}

{
  "detail": {
    "cause": "No token found in Authorization header",
    "response": "Missing or invalid credentials provided by client"
  }
}

{
  "detail": {
    "cause": "User 6789 is not authorized to access this endpoint.",
    "response": "User does not have permission to access this endpoint"
  }
}

{
  "detail": {
    "cause": "Connection error while trying to reach backend service.",
    "response": "Unable to connect to Llama Stack"
  }
}

GET `/liveness`

Liveness Probe Get Method

Return the liveness status of the service.

Returns: LivenessResponse: Indicates that the service is alive.

✅ Responses

Status Code	Description	Component
200	Successful response	LivenessResponse
401	Unauthorized	UnauthorizedResponse

Examples

{
  "detail": {
    "cause": "No Authorization header found",
    "response": "Missing or invalid credentials provided by client"
  }
}

{
  "detail": {
    "cause": "No token found in Authorization header",
    "response": "Missing or invalid credentials provided by client"
  }
}

| | 403 | Permission denied | ForbiddenResponse

Examples

{
  "detail": {
    "cause": "User 6789 is not authorized to access this endpoint.",
    "response": "User does not have permission to access this endpoint"
  }
}

POST `/authorized`

Authorized Endpoint Handler

Handle request to the /authorized endpoint.

Process POST requests to the /authorized endpoint, returning the authenticated user's ID and username.

The response intentionally omits any authentication token.

Returns: AuthorizedResponse: Contains the user ID and username of the authenticated user.

✅ Responses

Status Code	Description	Component
200	Successful response	AuthorizedResponse
401	Unauthorized	UnauthorizedResponse
403	Permission denied	ForbiddenResponse

{
  "detail": {
    "cause": "No Authorization header found",
    "response": "Missing or invalid credentials provided by client"
  }
}

{
  "detail": {
    "cause": "No token found in Authorization header",
    "response": "Missing or invalid credentials provided by client"
  }
}

{
  "detail": {
    "cause": "User 6789 is not authorized to access this endpoint.",
    "response": "User does not have permission to access this endpoint"
  }
}

GET `/metrics`

Metrics Endpoint Handler

Handle request to the /metrics endpoint.

Process GET requests to the /metrics endpoint, returning the latest Prometheus metrics in form of a plain text.

Initializes model metrics on the first request if not already set up, then responds with the current metrics snapshot in Prometheus format.

Returns: PlainTextResponse: Response body containing the Prometheus metrics text and the Prometheus content type.

✅ Responses

Status Code	Description	Component
200	Successful Response	string
401	Unauthorized	...
Examples

{
  "detail": {
    "cause": "No Authorization header found",
    "response": "Missing or invalid credentials provided by client"
  }
}

{
  "detail": {
    "cause": "No token found in Authorization header",
    "response": "Missing or invalid credentials provided by client"
  }
}

UnauthorizedResponse | | 403 | Permission denied | ... Examples

{
  "detail": {
    "cause": "User 6789 is not authorized to access this endpoint.",
    "response": "User does not have permission to access this endpoint"
  }
}

ForbiddenResponse | | 500 | Internal server error | ... Examples

{
  "detail": {
    "cause": "Lightspeed Stack configuration has not been initialized.",
    "response": "Configuration is not loaded"
  }
}

InternalServerErrorResponse | | 503 | Service unavailable | ... Examples

{
  "detail": {
    "cause": "Connection error while trying to reach backend service.",
    "response": "Unable to connect to Llama Stack"
  }
}

ServiceUnavailableResponse |

GET `/.well-known/agent-card.json`

Get Agent Card

Serve the A2A Agent Card at the well-known location.

This endpoint provides the agent card that describes Lightspeed's capabilities according to the A2A protocol specification.

Returns: AgentCard: The agent card describing this agent's capabilities.

✅ Responses

Status Code	Description	Component
200	Successful Response	AgentCard

GET `/.well-known/agent.json`

Get Agent Card

Serve the A2A Agent Card at the well-known location.

This endpoint provides the agent card that describes Lightspeed's capabilities according to the A2A protocol specification.

Returns: AgentCard: The agent card describing this agent's capabilities.

✅ Responses

Status Code	Description	Component
200	Successful Response	AgentCard

GET `/a2a`

Handle A2A Jsonrpc

Handle A2A JSON-RPC requests following the A2A protocol specification.

This endpoint uses the DefaultRequestHandler from the A2A SDK to handle all JSON-RPC requests including message/send, message/stream, etc.

The A2A SDK application is created per-request to include authentication context while still leveraging FastAPI's authorization middleware.

Automatically detects streaming requests (message/stream JSON-RPC method) and returns a StreamingResponse to enable real-time chunk delivery.

Args: request: FastAPI request object auth: Authentication tuple mcp_headers: MCP headers for context propagation

Returns: JSON-RPC response or streaming response

✅ Responses

Status Code	Description	Component
200	Successful Response	...

POST `/a2a`

Handle A2A Jsonrpc

Handle A2A JSON-RPC requests following the A2A protocol specification.

This endpoint uses the DefaultRequestHandler from the A2A SDK to handle all JSON-RPC requests including message/send, message/stream, etc.

The A2A SDK application is created per-request to include authentication context while still leveraging FastAPI's authorization middleware.

Automatically detects streaming requests (message/stream JSON-RPC method) and returns a StreamingResponse to enable real-time chunk delivery.

Args: request: FastAPI request object auth: Authentication tuple mcp_headers: MCP headers for context propagation

Returns: JSON-RPC response or streaming response

✅ Responses

Status Code	Description	Component
200	Successful Response	...

GET `/a2a/health`

A2A Health Check

Health check endpoint for A2A service.

Returns: Dict with health status information.

✅ Responses

Status Code	Description	Component
200	Successful Response	object

📋 Components

A2AStateConfiguration

A2A protocol persistent state configuration.

Configures how A2A task state and context-to-conversation mappings are stored. For multi-worker deployments, use SQLite or PostgreSQL to ensure state is shared across all workers.

If no configuration is provided, in-memory storage is used (default). This is suitable for single-worker deployments but state will be lost on restarts and not shared across workers.

Attributes: sqlite: SQLite database configuration for A2A state storage. postgres: PostgreSQL database configuration for A2A state storage.

Field	Type	Description
sqlite		SQLite database configuration for A2A state storage.
postgres		PostgreSQL database configuration for A2A state storage.

APIKeySecurityScheme

Defines a security scheme using an API key.

Field	Type	Description
description
in
name	string
type	string

APIKeyTokenConfiguration

API Key Token configuration.

Field	Type	Description
api_key	string

AccessRule

Rule defining what actions a role can perform.

Field	Type	Description
role	string	Name of the role
actions	array	Allowed actions for this role

Action

Available actions in the system.

Note: this is not a real model, just an enumeration of all action names.

AgentCapabilities

Defines optional capabilities supported by an agent.

Field	Type	Description
extensions
pushNotifications
stateTransitionHistory
streaming

AgentCard

The AgentCard is a self-describing manifest for an agent. It provides essential metadata including the agent's identity, capabilities, skills, supported communication methods, and security requirements.

Field	Type	Description
additionalInterfaces
capabilities
defaultInputModes	array
defaultOutputModes	array
description	string
documentationUrl
iconUrl
name	string
preferredTransport
protocolVersion
provider
security
securitySchemes
signatures
skills	array
supportsAuthenticatedExtendedCard
url	string
version	string

AgentCardSignature

AgentCardSignature represents a JWS signature of an AgentCard. This follows the JSON format of an RFC 7515 JSON Web Signature (JWS).

Field	Type	Description
header
protected	string
signature	string

AgentExtension

A declaration of a protocol extension supported by an Agent.

Field	Type	Description
description
params
required
uri	string

AgentInterface

Declares a combination of a target URL and a transport protocol for interacting with the agent. This allows agents to expose the same functionality over multiple transport mechanisms.

Field	Type	Description
transport	string
url	string

AgentProvider

Represents the service provider of an agent.

Field	Type	Description
organization	string
url	string

AgentSkill

Represents a distinct capability or function that an agent can perform.

Field	Type	Description
description	string
examples
id	string
inputModes
name	string
outputModes
security
tags	array

AllowedToolsFilter

Filter configuration for restricting which MCP tools can be used.

:param tool_names: (Optional) List of specific tool names that are allowed

Field	Type	Description
tool_names

ApprovalFilter

Filter configuration for MCP tool approval requirements.

:param always: (Optional) List of tool names that always require approval :param never: (Optional) List of tool names that never require approval

Field	Type	Description
always
never

Attachment

Model representing an attachment that can be send from the UI as part of query.

A list of attachments can be an optional part of 'query' request.

Attributes: attachment_type: The attachment type, like "log", "configuration" etc. content_type: The content type as defined in MIME standard content: The actual attachment content

YAML attachments with kind and metadata/name attributes will be handled as resources with the specified name:

kind: Pod
metadata:
    name: private-reg

Field	Type	Description
attachment_type	string	The attachment type, like 'log', 'configuration' etc.
content_type	string	The content type as defined in MIME standard
content	string	The actual attachment content

AuthenticationConfiguration

Authentication configuration.

Field	Type	Description
module	string
skip_tls_verification	boolean
skip_for_health_probes	boolean	Skip authorization for readiness and liveness probes
k8s_cluster_api
k8s_ca_cert_path
jwk_config
api_key_config
rh_identity_config

AuthorizationCodeOAuthFlow

Defines configuration details for the OAuth 2.0 Authorization Code flow.

Field	Type	Description
authorizationUrl	string
refreshUrl
scopes	object
tokenUrl	string

AuthorizationConfiguration

Authorization configuration.

Field	Type	Description
access_rules	array	Rules for role-based access control

AuthorizedResponse

Model representing a response to an authorization request.

Attributes: user_id: The ID of the logged in user. username: The name of the logged in user. skip_userid_check: Whether to skip the user ID check.

Field	Type	Description
user_id	string	User ID, for example UUID
username	string	User name
skip_userid_check	boolean	Whether to skip the user ID check

AzureEntraIdConfiguration

Microsoft Entra ID authentication attributes for Azure.

Field	Type	Description
tenant_id	string
client_id	string
client_secret	string
scope	string	Azure Cognitive Services scope for token requests. Override only if using a different Azure service.

BadRequestResponse

400 Bad Request. Invalid resource identifier.

Field	Type	Description
status_code	integer
detail

ByokRag

BYOK (Bring Your Own Knowledge) RAG configuration.

Field	Type	Description
rag_id	string	Unique RAG ID
rag_type	string	Type of RAG database.
embedding_model	string	Embedding model identification
embedding_dimension	integer	Dimensionality of embedding vectors.
vector_db_id	string	Vector database identification.
db_path	string	Path to RAG database.
score_multiplier	number	Multiplier applied to relevance scores from this vector store. Used to weight results when querying multiple knowledge sources. Values > 1 boost this store's results; values < 1 reduce them.

CORSConfiguration

CORS configuration.

CORS or 'Cross-Origin Resource Sharing' refers to the situations when a frontend running in a browser has JavaScript code that communicates with a backend, and the backend is in a different 'origin' than the frontend.

Useful resources:

Field	Type	Description
allow_origins	array	A list of origins allowed for cross-origin requests. An origin is the combination of protocol (http, https), domain (myapp.com, localhost, localhost.tiangolo.com), and port (80, 443, 8080). Use ['*'] to allow all origins.
allow_credentials	boolean	Indicate that cookies should be supported for cross-origin requests
allow_methods	array	A list of HTTP methods that should be allowed for cross-origin requests. You can use ['*'] to allow all standard methods.
allow_headers	array	A list of HTTP request headers that should be supported for cross-origin requests. You can use ['*'] to allow all headers. The Accept, Accept-Language, Content-Language and Content-Type headers are always allowed for simple CORS requests.

ClientCredentialsOAuthFlow

Defines configuration details for the OAuth 2.0 Client Credentials flow.

Field	Type	Description
refreshUrl
scopes	object
tokenUrl	string

Configuration

Global service configuration.

Field	Type	Description
name	string	Name of the service. That value will be used in REST API endpoints.
service		This section contains Lightspeed Core Stack service configuration.
llama_stack		This section contains Llama Stack configuration. Lightspeed Core Stack service can call Llama Stack in library mode or in server mode.
user_data_collection		This section contains configuration for subsystem that collects user data(transcription history and feedbacks).
database		Configuration for database to store conversation IDs and other runtime data
mcp_servers	array	MCP (Model Context Protocol) servers provide tools and capabilities to the AI agents. These are configured in this section. Only MCP servers defined in the lightspeed-stack.yaml configuration are available to the agents. Tools configured in the llama-stack run.yaml are not accessible to lightspeed-core agents.
authentication		Authentication configuration
authorization		Lightspeed Core Stack implements a modular authentication and authorization system with multiple authentication methods. Authorization is configurable through role-based access control. Authentication is handled through selectable modules configured via the module field in the authentication configuration.
customization		It is possible to customize Lightspeed Core Stack via this section. System prompt can be customized and also different parts of the service can be replaced by custom Python modules.
inference		One LLM provider and one its model might be selected as default ones. When no provider+model pair is specified in REST API calls (query endpoints), the default provider and model are used.
conversation_cache
byok_rag	array	BYOK RAG configuration. This configuration can be used to reconfigure Llama Stack through its run.yaml configuration file
a2a_state		Configuration for A2A protocol persistent state storage.
quota_handlers		Quota handlers configuration
azure_entra_id
splunk		Splunk HEC configuration for sending telemetry events.
deployment_environment	string	Deployment environment name (e.g., 'development', 'staging', 'production'). Used in telemetry events.
rag		Configuration for all RAG strategies (inline and tool-based).
okp		OKP provider settings. Only used when 'okp' is listed in rag.inline or rag.tool.

ConfigurationResponse

Success response model for the config endpoint.

Field	Type	Description
configuration

ConflictResponse

409 Conflict - Resource already exists.

Field	Type	Description
status_code	integer
detail

ConversationData

Model representing conversation data returned by cache list operations.

Attributes: conversation_id: The conversation ID topic_summary: The topic summary for the conversation (can be None) last_message_timestamp: The timestamp of the last message in the conversation

Field	Type	Description
conversation_id	string
topic_summary
last_message_timestamp	number

ConversationDeleteResponse

Model representing a response for deleting a conversation.

Attributes: conversation_id: The conversation ID (UUID) that was deleted. success: Whether the deletion was successful. response: A message about the deletion result.

Field	Type	Description
conversation_id	string	The conversation ID (UUID) that was deleted.
success	boolean	Whether the deletion was successful.
response	string	A message about the deletion result.

ConversationDetails

Model representing the details of a user conversation.

Attributes: conversation_id: The conversation ID (UUID). created_at: When the conversation was created. last_message_at: When the last message was sent. message_count: Number of user messages in the conversation. last_used_model: The last model used for the conversation. last_used_provider: The provider of the last used model. topic_summary: The topic summary for the conversation.

Example: python conversation = ConversationDetails( conversation_id="123e4567-e89b-12d3-a456-426614174000", created_at="2024-01-01T00:00:00Z", last_message_at="2024-01-01T00:05:00Z", message_count=5, last_used_model="gemini/gemini-2.0-flash", last_used_provider="gemini", topic_summary="Openshift Microservices Deployment Strategies", )

Field	Type	Description
conversation_id	string	Conversation ID (UUID)
created_at		When the conversation was created
last_message_at		When the last message was sent
message_count		Number of user messages in the conversation
last_used_model		Identification of the last model used for the conversation
last_used_provider		Identification of the last provider used for the conversation
topic_summary		Topic summary for the conversation

ConversationHistoryConfiguration

Conversation history configuration.

Field	Type	Description
type		Type of database where the conversation history is to be stored.
memory		In-memory cache configuration
sqlite		SQLite database configuration
postgres		PostgreSQL database configuration

ConversationResponse

Model representing a response for retrieving a conversation.

Attributes: conversation_id: The conversation ID (UUID). chat_history: The chat history as a list of conversation turns.

Field	Type	Description
conversation_id	string	Conversation ID (UUID)
chat_history	array	The simplified chat history as a list of conversation turns

ConversationTurn

Model representing a single conversation turn.

Attributes: messages: List of messages in this turn. tool_calls: List of tool calls made in this turn. tool_results: List of tool results from this turn. provider: Provider identifier used for this turn. model: Model identifier used for this turn. started_at: ISO 8601 timestamp when the turn started. completed_at: ISO 8601 timestamp when the turn completed.

Field	Type	Description
messages	array	List of messages in this turn
tool_calls	array	List of tool calls made in this turn
tool_results	array	List of tool results from this turn
provider	string	Provider identifier used for this turn
model	string	Model identifier used for this turn
started_at	string	ISO 8601 timestamp when the turn started
completed_at	string	ISO 8601 timestamp when the turn completed

ConversationUpdateRequest

Model representing a request to update a conversation topic summary.

Attributes: topic_summary: The new topic summary for the conversation.

Example: python update_request = ConversationUpdateRequest( topic_summary="Discussion about machine learning algorithms" )

Field	Type	Description
topic_summary	string	The new topic summary for the conversation

ConversationUpdateResponse

Model representing a response for updating a conversation topic summary.

Attributes: conversation_id: The conversation ID (UUID) that was updated. success: Whether the update was successful. message: A message about the update result.

Example: python update_response = ConversationUpdateResponse( conversation_id="123e4567-e89b-12d3-a456-426614174000", success=True, message="Topic summary updated successfully", )

Field	Type	Description
conversation_id	string	The conversation ID (UUID) that was updated
success	boolean	Whether the update was successful
message	string	A message about the update result

ConversationsListResponse

Model representing a response for listing conversations of a user.

Attributes: conversations: List of conversation details associated with the user.

Field	Type	Description
conversations	array

ConversationsListResponseV2

Model representing a response for listing conversations of a user.

Attributes: conversations: List of conversation data associated with the user.

Field	Type	Description
conversations	array

CustomProfile

Custom profile customization for prompts and validation.

Field	Type	Description
path	string	Path to Python modules containing custom profile.
prompts	object	Dictionary containing map of system prompts

Customization

Service customization.

Field	Type	Description
profile_path
disable_query_system_prompt	boolean
disable_shield_ids_override	boolean
system_prompt_path
system_prompt
agent_card_path
agent_card_config
custom_profile
allow_verbose_infer	boolean

DatabaseConfiguration

Database configuration.

Field	Type	Description
sqlite		SQLite database configuration
postgres		PostgreSQL database configuration

DetailModel

Nested detail model for error responses.

Field	Type	Description
response	string	Short summary of the error
cause	string	Detailed explanation of what caused the error

FeedbackCategory

Enum representing predefined feedback categories for AI responses.

These categories help provide structured feedback about AI inference quality when users provide negative feedback (thumbs down). Multiple categories can be selected to provide comprehensive feedback about response issues.

FeedbackRequest

Model representing a feedback request.

Attributes: conversation_id: The required conversation ID (UUID). user_question: The required user question. llm_response: The required LLM response. sentiment: The optional sentiment. user_feedback: The optional user feedback. categories: The optional list of feedback categories (multi-select for negative feedback).

Example: python feedback_request = FeedbackRequest( conversation_id="12345678-abcd-0000-0123-456789abcdef", user_question="what are you doing?", user_feedback="This response is not helpful", llm_response="I don't know", sentiment=-1, categories=[FeedbackCategory.INCORRECT, FeedbackCategory.INCOMPLETE] )

Field	Type	Description
conversation_id	string	The required conversation ID (UUID)
user_question	string	User question (the query string)
llm_response	string	Response from LLM
sentiment		User sentiment, if provided must be -1 or 1
user_feedback		Feedback on the LLM response.
categories		List of feedback categories that describe issues with the LLM response (for negative feedback).

FeedbackResponse

Model representing a response to a feedback request.

Attributes: response: The response of the feedback request.

Example: python feedback_response = FeedbackResponse(response="feedback received")

Field	Type	Description
response	string	The response of the feedback request.

FeedbackStatusUpdateRequest

Model representing a feedback status update request.

Attributes: status: Value of the desired feedback enabled state.

Example: python feedback_request = FeedbackRequest( status=false )

Field	Type	Description
status	boolean	Desired state of feedback enablement, must be False or True

FeedbackStatusUpdateResponse

Model representing a response to a feedback status update request.

Attributes: status: The previous and current status of the service and who updated it.

Example: python status_response = StatusResponse( status={ "previous_status": true, "updated_status": false, "updated_by": "user/test", "timestamp": "2023-03-15 12:34:56" }, )

Field	Type	Description
status	object

ForbiddenResponse

403 Forbidden. Access denied.

Field	Type	Description
status_code	integer
detail

HTTPAuthSecurityScheme

Defines a security scheme using HTTP authentication.

Field	Type	Description
bearerFormat
description
scheme	string
type	string

HTTPValidationError

Field	Type	Description
detail	array

ImplicitOAuthFlow

Defines configuration details for the OAuth 2.0 Implicit flow.

Field	Type	Description
authorizationUrl	string
refreshUrl
scopes	object

In

The location of the API key.

InMemoryCacheConfig

In-memory cache configuration.

Field	Type	Description
max_entries	integer	Maximum number of entries stored in the in-memory cache

IncludeParameter

InferenceConfiguration

Inference configuration.

Field	Type	Description
default_model		Identification of default model used when no other model is specified.
default_provider		Identification of default provider used when no other model is specified.

InfoResponse

Model representing a response to an info request.

Attributes: name: Service name. service_version: Service version. llama_stack_version: Llama Stack version.

Example: python info_response = InfoResponse( name="Lightspeed Stack", service_version="1.0.0", llama_stack_version="0.2.22", )

Field	Type	Description
name	string	Service name
service_version	string	Service version
llama_stack_version	string	Llama Stack version

InternalServerErrorResponse

500 Internal Server Error.

Field	Type	Description
status_code	integer
detail

JsonPathOperator

Supported operators for JSONPath evaluation.

Note: this is not a real model, just an enumeration of all supported JSONPath operators.

JwkConfiguration

JWK (JSON Web Key) configuration.

A JSON Web Key (JWK) is a JavaScript Object Notation (JSON) data structure that represents a cryptographic key.

Useful resources:

Field	Type	Description
url	string	HTTPS URL of the JWK (JSON Web Key) set used to validate JWTs.
jwt_configuration		JWT (JSON Web Token) configuration

JwtConfiguration

JWT (JSON Web Token) configuration.

JSON Web Token (JWT) is a compact, URL-safe means of representing claims to be transferred between two parties. The claims in a JWT are encoded as a JSON object that is used as the payload of a JSON Web Signature (JWS) structure or as the plaintext of a JSON Web Encryption (JWE) structure, enabling the claims to be digitally signed or integrity protected with a Message Authentication Code (MAC) and/or encrypted.

Useful resources:

Field	Type	Description
user_id_claim	string	JWT claim name that uniquely identifies the user (subject ID).
username_claim	string	JWT claim name that provides the human-readable username.
role_rules	array	Rules for extracting roles from JWT claims

JwtRoleRule

Rule for extracting roles from JWT claims.

Field	Type	Description
jsonpath	string	JSONPath expression to evaluate against the JWT payload
operator		JSON path comparison operator
negate	boolean	If set to true, the meaning of the rule is negated
value		Value to compare against
roles	array	Roles to be assigned if the rule matches

LivenessResponse

Model representing a response to a liveness request.

Attributes: alive: If app is alive.

Example: python liveness_response = LivenessResponse(alive=True)

Field	Type	Description
alive	boolean	Flag indicating that the app is alive

LlamaStackConfiguration

Llama stack configuration.

Llama Stack is a comprehensive system that provides a uniform set of tools for building, scaling, and deploying generative AI applications, enabling developers to create, integrate, and orchestrate multiple AI services and capabilities into an adaptable setup.

Useful resources:

Field	Type	Description
url		URL to Llama Stack service; used when library mode is disabled. Must be a valid HTTP or HTTPS URL.
api_key		API key to access Llama Stack service
use_as_library_client		When set to true Llama Stack will be used in library mode, not in server mode (default)
library_client_config_path		Path to configuration file used when Llama Stack is run in library mode
timeout	integer	Timeout in seconds for requests to Llama Stack service. Default is 180 seconds (3 minutes) to accommodate long-running RAG queries.

MCPClientAuthOptionsResponse

Response containing MCP servers that accept client-provided authorization.

Field	Type	Description
servers	array	List of MCP servers that accept client-provided authorization

MCPListToolsTool

Tool definition returned by MCP list tools operation.

:param input_schema: JSON schema defining the tool's input parameters :param name: Name of the tool :param description: (Optional) Description of what the tool does

Field	Type	Description
input_schema	object
name	string
description

MCPServerAuthInfo

Information about MCP server client authentication options.

Field	Type	Description
name	string	MCP server name
client_auth_headers	array	List of authentication header names for client-provided tokens

MCPServerDeleteResponse

Response for a successful MCP server deletion.

Field	Type	Description
name	string	Deleted MCP server name
message	string	Status message

MCPServerInfo

Information about a registered MCP server.

Attributes: name: Unique name of the MCP server. url: URL of the MCP server endpoint. provider_id: MCP provider identification. source: Whether the server was registered statically (config) or dynamically (api).

Field	Type	Description
name	string	MCP server name
url	string	MCP server URL
provider_id	string	MCP provider identification
source	string	How the server was registered: 'config' (static) or 'api' (dynamic)

MCPServerListResponse

Response listing all registered MCP servers.

Field	Type	Description
servers	array	List of all registered MCP servers (static and dynamic)

MCPServerRegistrationRequest

Request model for dynamically registering an MCP server.

Attributes: name: Unique name for the MCP server. url: URL of the MCP server endpoint. provider_id: MCP provider identification (defaults to "model-context-protocol"). authorization_headers: Optional headers to send to the MCP server. headers: Optional list of HTTP header names to forward from incoming requests. timeout: Optional request timeout in seconds.

Example: python request = MCPServerRegistrationRequest( name="my-tools", url="http://localhost:8888/mcp", )

Field	Type	Description
name	string	Unique name for the MCP server
url	string	URL of the MCP server endpoint
provider_id	string	MCP provider identification
authorization_headers		Headers to send to the MCP server. Values must be one of the supported token resolution keywords: 'client' - forward the caller's token provided via MCP-HEADERS, 'kubernetes' - use the authenticated user's Kubernetes token, 'oauth' - use an OAuth token provided via MCP-HEADERS. File-path based secrets (used in static YAML config) are not supported for dynamically registered servers.
headers		List of HTTP header names to forward from incoming requests
timeout		Request timeout in seconds for the MCP server

MCPServerRegistrationResponse

Response for a successful MCP server registration.

Field	Type	Description
name	string	Registered MCP server name
url	string	Registered MCP server URL
provider_id	string	MCP provider identification
message	string	Status message

Message

Model representing a message in a conversation turn.

Attributes: content: The message content. type: The type of message. referenced_documents: Optional list of documents referenced in an assistant response.

Field	Type	Description
content	string	The message content
type	string	The type of message
referenced_documents		List of documents referenced in the response (assistant messages only)

ModelContextProtocolServer

Model context protocol server configuration.

MCP (Model Context Protocol) servers provide tools and capabilities to the AI agents. These are configured by this structure. Only MCP servers defined in the lightspeed-stack.yaml configuration are available to the agents. Tools configured in the llama-stack run.yaml are not accessible to lightspeed-core agents.

Useful resources:

Field	Type	Description
name	string	MCP server name that must be unique
provider_id	string	MCP provider identification
url	string	URL of the MCP server
authorization_headers	object	Headers to send to the MCP server. The map contains the header name and the path to a file containing the header value (secret). There are 3 special cases: 1. Usage of the kubernetes token in the header. To specify this use a string 'kubernetes' instead of the file path. 2. Usage of the client-provided token in the header. To specify this use a string 'client' instead of the file path. 3. Usage of the oauth token in the header. To specify this use a string 'oauth' instead of the file path.
headers	array	List of HTTP header names to automatically forward from the incoming request to this MCP server. Headers listed here are extracted from the original client request and included when calling the MCP server. This is useful when infrastructure components (e.g. API gateways) inject headers that MCP servers need, such as x-rh-identity in HCC. Header matching is case-insensitive. These headers are additive with authorization_headers and MCP-HEADERS.
timeout		Timeout in seconds for requests to the MCP server. If not specified, the default timeout from Llama Stack will be used. Note: This field is reserved for future use when Llama Stack adds timeout support.

ModelsResponse

Model representing a response to models request.

Field	Type	Description
models	array	List of models available

MutualTLSSecurityScheme

Defines a security scheme using mTLS authentication.

Field	Type	Description
description
type	string

NotFoundResponse

404 Not Found - Resource does not exist.

Field	Type	Description
status_code	integer
detail

OAuth2SecurityScheme

Defines a security scheme using OAuth 2.0.

Field	Type	Description
description
flows
oauth2MetadataUrl
type	string

OAuthFlows

Defines the configuration for the supported OAuth 2.0 flows.

Field	Type	Description
authorizationCode
clientCredentials
implicit
password

OkpConfiguration

OKP (Offline Knowledge Portal) provider configuration.

Controls provider-specific behaviour for the OKP vector store. Only relevant when "okp" is listed in rag.inline or rag.tool.

Field	Type	Description
offline	boolean	When True, use parent_id for OKP chunk source URLs. When False, use reference_url for chunk source URLs.
chunk_filter_query	string	OKP filter query applied to every OKP search request. Defaults to 'is_chunk:true' to restrict results to chunk documents. To add extra constraints, extend the expression using boolean syntax, e.g. 'is_chunk:true AND product:openshift'.

OpenAIResponseAnnotationCitation

URL citation annotation for referencing external web resources.

:param type: Annotation type identifier, always "url_citation" :param end_index: End position of the citation span in the content :param start_index: Start position of the citation span in the content :param title: Title of the referenced web resource :param url: URL of the referenced web resource

Field	Type	Description
type	string
end_index	integer
start_index	integer
title	string
url	string

OpenAIResponseAnnotationContainerFileCitation

Field	Type	Description
type	string
container_id	string
end_index	integer
file_id	string
filename	string
start_index	integer

OpenAIResponseAnnotationFileCitation

File citation annotation for referencing specific files in response content.

:param type: Annotation type identifier, always "file_citation" :param file_id: Unique identifier of the referenced file :param filename: Name of the referenced file :param index: Position index of the citation within the content

Field	Type	Description
type	string
file_id	string
filename	string
index	integer

OpenAIResponseAnnotationFilePath

Field	Type	Description
type	string
file_id	string
index	integer

OpenAIResponseContentPartRefusal

Refusal content within a streamed response part.

:param type: Content part type identifier, always "refusal" :param refusal: Refusal text supplied by the model

Field	Type	Description
type	string
refusal	string

OpenAIResponseError

Error details for failed OpenAI response requests.

:param code: Error code identifying the type of failure :param message: Human-readable error message describing the failure

Field	Type	Description
code	string
message	string

OpenAIResponseInputFunctionToolCallOutput

This represents the output of a function call that gets passed back to the model.

Field	Type	Description
call_id	string
output	string
type	string
id
status

OpenAIResponseInputMessageContentFile

File content for input messages in OpenAI response format.

:param type: The type of the input item. Always input_file. :param file_data: The data of the file to be sent to the model. :param file_id: (Optional) The ID of the file to be sent to the model. :param file_url: The URL of the file to be sent to the model. :param filename: The name of the file to be sent to the model.

Field	Type	Description
type	string
file_data
file_id
file_url
filename

OpenAIResponseInputMessageContentImage

Image content for input messages in OpenAI response format.

:param detail: Level of detail for image processing, can be "low", "high", or "auto" :param type: Content type identifier, always "input_image" :param file_id: (Optional) The ID of the file to be sent to the model. :param image_url: (Optional) URL of the image content

Field	Type	Description
detail
type	string
file_id
image_url

OpenAIResponseInputMessageContentText

Text content for input messages in OpenAI response format.

:param text: The text content of the input message :param type: Content type identifier, always "input_text"

Field	Type	Description
text	string
type	string

OpenAIResponseInputToolChoiceAllowedTools

Constrains the tools available to the model to a pre-defined set.

:param mode: Constrains the tools available to the model to a pre-defined set :param tools: A list of tool definitions that the model should be allowed to call :param type: Tool choice type identifier, always "allowed_tools"

Field	Type	Description
mode	string
tools	array
type	string

OpenAIResponseInputToolChoiceCustomTool

Forces the model to call a custom tool.

:param type: Tool choice type identifier, always "custom" :param name: The name of the custom tool to call.

Field	Type	Description
type	string
name	string

OpenAIResponseInputToolChoiceFileSearch

Indicates that the model should use file search to generate a response.

:param type: Tool choice type identifier, always "file_search"

Field	Type	Description
type	string

OpenAIResponseInputToolChoiceFunctionTool

Forces the model to call a specific function.

:param name: The name of the function to call :param type: Tool choice type identifier, always "function"

Field	Type	Description
name	string
type	string

OpenAIResponseInputToolChoiceMCPTool

Forces the model to call a specific tool on a remote MCP server

:param server_label: The label of the MCP server to use. :param type: Tool choice type identifier, always "mcp" :param name: (Optional) The name of the tool to call on the server.

Field	Type	Description
server_label	string
type	string
name

OpenAIResponseInputToolChoiceMode

OpenAIResponseInputToolChoiceWebSearch

Indicates that the model should use web search to generate a response

:param type: Web search tool type variant to use

Field	Type	Description
type

OpenAIResponseInputToolFileSearch

File search tool configuration for OpenAI response inputs.

:param type: Tool type identifier, always "file_search" :param vector_store_ids: List of vector store identifiers to search within :param filters: (Optional) Additional filters to apply to the search :param max_num_results: (Optional) Maximum number of search results to return (1-50) :param ranking_options: (Optional) Options for ranking and scoring search results

Field	Type	Description
type	string
vector_store_ids	array
filters
max_num_results
ranking_options

OpenAIResponseInputToolFunction

Function tool configuration for OpenAI response inputs.

:param type: Tool type identifier, always "function" :param name: Name of the function that can be called :param description: (Optional) Description of what the function does :param parameters: (Optional) JSON schema defining the function's parameters :param strict: (Optional) Whether to enforce strict parameter validation

Field	Type	Description
type	string
name	string
description
parameters
strict

OpenAIResponseInputToolMCP

Model Context Protocol (MCP) tool configuration for OpenAI response inputs.

:param type: Tool type identifier, always "mcp" :param server_label: Label to identify this MCP server :param connector_id: (Optional) ID of the connector to use for this MCP server :param server_url: (Optional) URL endpoint of the MCP server :param headers: (Optional) HTTP headers to include when connecting to the server :param authorization: (Optional) OAuth access token for authenticating with the MCP server :param require_approval: Approval requirement for tool calls ("always", "never", or filter) :param allowed_tools: (Optional) Restriction on which tools can be used from this server

Field	Type	Description
type	string
server_label	string
connector_id
server_url
headers
authorization
require_approval
allowed_tools

OpenAIResponseInputToolWebSearch

Web search tool configuration for OpenAI response inputs.

:param type: Web search tool type variant to use :param search_context_size: (Optional) Size of search context, must be "low", "medium", or "high"

Field	Type	Description
type
search_context_size

OpenAIResponseMCPApprovalRequest

A request for human approval of a tool invocation.

Field	Type	Description
arguments	string
id	string
name	string
server_label	string
type	string

OpenAIResponseMCPApprovalResponse

A response to an MCP approval request.

Field	Type	Description
approval_request_id	string
approve	boolean
type	string
id
reason

OpenAIResponseMessage-Input

Corresponds to the various Message types in the Responses API. They are all under one type because the Responses API gives them all the same "type" value, and there is no way to tell them apart in certain scenarios.

Field	Type	Description
content
role
type	string
id
status

OpenAIResponseMessage-Output

Field	Type	Description
content
role
type	string
id
status

OpenAIResponseOutputMessageContentOutputText-Input

Field	Type	Description
text	string
type	string
annotations	array
logprobs

OpenAIResponseOutputMessageContentOutputText-Output

Field	Type	Description
text	string
type	string
annotations	array
logprobs

OpenAIResponseOutputMessageFileSearchToolCall

File search tool call output message for OpenAI responses.

:param id: Unique identifier for this tool call :param queries: List of search queries executed :param status: Current status of the file search operation :param type: Tool call type identifier, always "file_search_call" :param results: (Optional) Search results returned by the file search operation

Field	Type	Description
id	string
queries	array
status	string
type	string
results

OpenAIResponseOutputMessageFileSearchToolCallResults

Search results returned by the file search operation.

:param attributes: (Optional) Key-value attributes associated with the file :param file_id: Unique identifier of the file containing the result :param filename: Name of the file containing the result :param score: Relevance score for this search result (between 0 and 1) :param text: Text content of the search result

Field	Type	Description
attributes	object
file_id	string
filename	string
score	number
text	string

OpenAIResponseOutputMessageFunctionToolCall

Function tool call output message for OpenAI responses.

:param call_id: Unique identifier for the function call :param name: Name of the function being called :param arguments: JSON string containing the function arguments :param type: Tool call type identifier, always "function_call" :param id: (Optional) Additional identifier for the tool call :param status: (Optional) Current status of the function call execution

Field	Type	Description
call_id	string
name	string
arguments	string
type	string
id
status

OpenAIResponseOutputMessageMCPCall

Model Context Protocol (MCP) call output message for OpenAI responses.

:param id: Unique identifier for this MCP call :param type: Tool call type identifier, always "mcp_call" :param arguments: JSON string containing the MCP call arguments :param name: Name of the MCP method being called :param server_label: Label identifying the MCP server handling the call :param error: (Optional) Error message if the MCP call failed :param output: (Optional) Output result from the successful MCP call

Field	Type	Description
id	string
type	string
arguments	string
name	string
server_label	string
error
output

OpenAIResponseOutputMessageMCPListTools

MCP list tools output message containing available tools from an MCP server.

:param id: Unique identifier for this MCP list tools operation :param type: Tool call type identifier, always "mcp_list_tools" :param server_label: Label identifying the MCP server providing the tools :param tools: List of available tools provided by the MCP server

Field	Type	Description
id	string
type	string
server_label	string
tools	array

OpenAIResponseOutputMessageWebSearchToolCall

Web search tool call output message for OpenAI responses.

:param id: Unique identifier for this tool call :param status: Current status of the web search operation :param type: Tool call type identifier, always "web_search_call"

Field	Type	Description
id	string
status	string
type	string

OpenAIResponsePrompt

OpenAI compatible Prompt object that is used in OpenAI responses.

:param id: Unique identifier of the prompt template :param variables: Dictionary of variable names to OpenAIResponseInputMessageContent structure for template substitution. The substitution values can either be strings, or other Response input types like images or files. :param version: Version number of the prompt to use (defaults to latest if not specified)

Field	Type	Description
id	string
variables
version

OpenAIResponseReasoning

Configuration for reasoning effort in OpenAI responses.

Controls how much reasoning the model performs before generating a response.

:param effort: The effort level for reasoning. "low" favors speed and economical token usage, "high" favors more complete reasoning, "medium" is a balance between the two.

Field	Type	Description
effort

OpenAIResponseText

Text response configuration for OpenAI responses.

:param format: (Optional) Text format configuration specifying output format requirements

Field	Type	Description
format

OpenAIResponseTextFormat

Configuration for Responses API text format.

:param type: Must be "text", "json_schema", or "json_object" to identify the format type :param name: The name of the response format. Only used for json_schema. :param schema: The JSON schema the response should conform to. In a Python SDK, this is often a pydantic model. Only used for json_schema. :param description: (Optional) A description of the response format. Only used for json_schema. :param strict: (Optional) Whether to strictly enforce the JSON schema. If true, the response must match the schema exactly. Only used for json_schema.

Field	Type	Description
type
name
schema
description
strict

OpenAIResponseToolMCP

Model Context Protocol (MCP) tool configuration for OpenAI response object.

:param type: Tool type identifier, always "mcp" :param server_label: Label to identify this MCP server :param allowed_tools: (Optional) Restriction on which tools can be used from this server

Field	Type	Description
type	string
server_label	string
allowed_tools

OpenAIResponseUsage

Usage information for OpenAI response.

:param input_tokens: Number of tokens in the input :param output_tokens: Number of tokens in the output :param total_tokens: Total tokens used (input + output) :param input_tokens_details: Detailed breakdown of input token usage :param output_tokens_details: Detailed breakdown of output token usage

Field	Type	Description
input_tokens	integer
output_tokens	integer
total_tokens	integer
input_tokens_details
output_tokens_details

OpenAIResponseUsageInputTokensDetails

Token details for input tokens in OpenAI response usage.

:param cached_tokens: Number of tokens retrieved from cache

Field	Type	Description
cached_tokens	integer

OpenAIResponseUsageOutputTokensDetails

Token details for output tokens in OpenAI response usage.

:param reasoning_tokens: Number of tokens used for reasoning (o1/o3 models)

Field	Type	Description
reasoning_tokens	integer

OpenAITokenLogProb

The log probability for a token from an OpenAI-compatible chat completion response.

Field	Type	Description
token	string	The token.
bytes		The bytes for the token.
logprob	number	The log probability of the token.
top_logprobs		The top log probabilities for the token.

OpenAITopLogProb

The top log probability for a token from an OpenAI-compatible chat completion response.

Field	Type	Description
token	string	The token.
bytes		The bytes for the token.
logprob	number	The log probability of the token.

OpenIdConnectSecurityScheme

Defines a security scheme using OpenID Connect.

Field	Type	Description
description
openIdConnectUrl	string
type	string

PasswordOAuthFlow

Defines configuration details for the OAuth 2.0 Resource Owner Password flow.

Field	Type	Description
refreshUrl
scopes	object
tokenUrl	string

PostgreSQLDatabaseConfiguration

PostgreSQL database configuration.

PostgreSQL database is used by Lightspeed Core Stack service for storing information about conversation IDs. It can also be leveraged to store conversation history and information about quota usage.

Useful resources:

Field	Type	Description
host	string	Database server host or socket directory
port	integer	Database server port
db	string	Database name to connect to
user	string	Database user name used to authenticate
password	string	Password used to authenticate
namespace		Database namespace
ssl_mode	string	SSL mode
gss_encmode	string	This option determines whether or with what priority a secure GSS TCP/IP connection will be negotiated with the server.
ca_cert_path		Path to CA certificate

PromptTooLongResponse

413 Payload Too Large - Prompt is too long.

Field	Type	Description
status_code	integer
detail

ProviderHealthStatus

Model representing the health status of a provider.

Attributes: provider_id: The ID of the provider. status: The health status ('ok', 'unhealthy', 'not_implemented'). message: Optional message about the health status.

Field	Type	Description
provider_id	string	The ID of the provider
status	string	The health status
message		Optional message about the health status

ProviderResponse

Model representing a response to get specific provider request.

Field	Type	Description
api	string	The API this provider implements
config	object	Provider configuration parameters
health	object	Current health status of the provider
provider_id	string	Unique provider identifier
provider_type	string	Provider implementation type

ProvidersListResponse

Model representing a response to providers request.

Field	Type	Description
providers	object	List of available API types and their corresponding providers

QueryRequest

Model representing a request for the LLM (Language Model).

Attributes: query: The query string. conversation_id: The optional conversation ID (UUID). provider: The optional provider. model: The optional model. system_prompt: The optional system prompt. attachments: The optional attachments. no_tools: Whether to bypass all tools and MCP servers (default: False). generate_topic_summary: Whether to generate topic summary for new conversations. media_type: The optional media type for response format (application/json or text/plain). vector_store_ids: The optional list of specific vector store IDs to query for RAG. shield_ids: The optional list of safety shield IDs to apply.

Example: python query_request = QueryRequest(query="Tell me about Kubernetes")

Field	Type	Description
query	string	The query string
conversation_id		The optional conversation ID (UUID)
provider		The optional provider
model		The optional model
system_prompt		The optional system prompt.
attachments		The optional list of attachments.
no_tools		Whether to bypass all tools and MCP servers
generate_topic_summary		Whether to generate topic summary for new conversations
media_type		Media type for the response format
vector_store_ids		Optional list of specific vector store IDs to query for RAG. If not provided, all available vector stores will be queried.
shield_ids		Optional list of safety shield IDs to apply. If None, all configured shields are used.
solr		Solr-specific query parameters including filter queries

QueryResponse

Model representing LLM response to a query.

Attributes: conversation_id: The optional conversation ID (UUID). response: The response. rag_chunks: Deprecated. List of RAG chunks used to generate the response. This information is now available in tool_results under file_search_call type. referenced_documents: The URLs and titles for the documents used to generate the response. tool_calls: List of tool calls made during response generation. tool_results: List of tool results. truncated: Whether conversation history was truncated. input_tokens: Number of tokens sent to LLM. output_tokens: Number of tokens received from LLM. available_quotas: Quota available as measured by all configured quota limiters.

Field	Type	Description
conversation_id		The optional conversation ID (UUID)
response	string	Response from LLM
rag_chunks	array	Deprecated: List of RAG chunks used to generate the response.
referenced_documents	array	List of documents referenced in generating the response
truncated	boolean	Deprecated:Whether conversation history was truncated
input_tokens	integer	Number of tokens sent to LLM
output_tokens	integer	Number of tokens received from LLM
available_quotas	object	Quota available as measured by all configured quota limiters
tool_calls	array	List of tool calls made during response generation
tool_results	array	List of tool results

QuotaExceededResponse

429 Too Many Requests - Quota limit exceeded.

Field	Type	Description
status_code	integer
detail

QuotaHandlersConfiguration

Quota limiter configuration.

It is possible to limit quota usage per user or per service or services (that typically run in one cluster). Each limit is configured as a separate quota limiter. It can be of type user_limiter or cluster_limiter (which is name that makes sense in OpenShift deployment).

Field	Type	Description
sqlite		SQLite database configuration
postgres		PostgreSQL database configuration
limiters	array	Quota limiters configuration
scheduler		Quota scheduler configuration
enable_token_history	boolean	Enables storing information about token usage history

QuotaLimiterConfiguration

Configuration for one quota limiter.

There are three configuration options for each limiter:

period is specified in a human-readable form, see https://www.postgresql.org/docs/current/datatype-datetime.html#DATATYPE-INTERVAL-INPUT for all possible options. When the end of the period is reached, the quota is reset or increased.
initial_quota is the value set at the beginning of the period.
quota_increase is the value (if specified) used to increase the quota when the period is reached.

There are two basic use cases:

When the quota needs to be reset to a specific value periodically (for example on a weekly or monthly basis), set initial_quota to the required value.
When the quota needs to be increased by a specific value periodically (for example on a daily basis), set quota_increase.

Field	Type	Description
type	string	Quota limiter type, either user_limiter or cluster_limiter
name	string	Human readable quota limiter name
initial_quota	integer	Quota set at beginning of the period
quota_increase	integer	Delta value used to increase quota when period is reached
period	string	Period specified in human readable form

QuotaSchedulerConfiguration

Quota scheduler configuration.

Field	Type	Description
period	integer	Quota scheduler period specified in seconds
database_reconnection_count	integer	Database reconnection count on startup. When database for quota is not available on startup, the service tries to reconnect N times with specified delay.
database_reconnection_delay	integer	Database reconnection delay specified in seconds. When database for quota is not available on startup, the service tries to reconnect N times with specified delay.

RAGChunk

Model representing a RAG chunk used in the response.

Field	Type	Description
content	string	The content of the chunk
source		Index name identifying the knowledge source from configuration
score		Relevance score
attributes		Document metadata from the RAG provider (e.g., url, title, author)

RAGInfoResponse

Model representing a response with information about RAG DB.

Field	Type	Description
id	string	Vector DB unique ID
name		Human readable vector DB name
created_at	integer	When the vector store was created, represented as Unix time
last_active_at		When the vector store was last active, represented as Unix time
usage_bytes	integer	Storage byte(s) used by this vector DB
expires_at		When the vector store expires, represented as Unix time
object	string	Object type
status	string	Vector DB status

RAGListResponse

Model representing a response to list RAGs request.

Field	Type	Description
rags	array	List of RAG identifiers

RHIdentityConfiguration

Red Hat Identity authentication configuration.

Field	Type	Description
required_entitlements		List of all required entitlements.
max_header_size	integer	Maximum allowed size in bytes for the base64-encoded x-rh-identity header. Headers exceeding this size are rejected before decoding.

RagConfiguration

RAG strategy configuration.

Controls which RAG sources are used for inline and tool-based retrieval.

Each strategy lists RAG IDs to include. The special ID "okp" defined in constants, activates the OKP provider; all other IDs refer to entries in byok_rag.

Backward compatibility: - inline defaults to [] (no inline RAG). - tool defaults to [] (no tool RAG).

If no RAG strategy is defined (inline and tool are empty), the RAG tool will register all stores available to llama-stack.

Field	Type	Description
inline	array	RAG IDs whose sources are injected as context before the LLM call. Use 'okp' to enable OKP inline RAG. Empty by default (no inline RAG).
tool	array	RAG IDs made available to the LLM as a file_search tool. Use 'okp' to include the OKP vector store. When omitted, all registered BYOK vector stores are used (backward compatibility).

ReadinessResponse

Model representing response to a readiness request.

Attributes: ready: If service is ready. reason: The reason for the readiness. providers: List of unhealthy providers in case of readiness failure.

Example: python readiness_response = ReadinessResponse( ready=False, reason="Service is not ready", providers=[ ProviderHealthStatus( provider_id="ollama", status="unhealthy", message="Server is unavailable" ) ] )

Field	Type	Description
ready	boolean	Flag indicating if service is ready
reason	string	The reason for the readiness
providers	array	List of unhealthy providers in case of readiness failure.

ReferencedDocument

Model representing a document referenced in generating a response.

Attributes: doc_url: Url to the referenced doc. doc_title: Title of the referenced doc.

Field	Type	Description
doc_url		URL of the referenced document
doc_title		Title of the referenced document
source		Index name identifying the knowledge source from configuration

ResponseInput

ResponseItem

ResponsesRequest

Model representing a request for the Responses API following LCORE specification.

Attributes: input: Input text or structured input items containing the query. model: Model identifier in format "provider/model". Auto-selected if not provided. conversation: Conversation ID linking to an existing conversation. Accepts both OpenAI and LCORE formats. Mutually exclusive with previous_response_id. include: Explicitly specify output item types that are excluded by default but should be included in the response. instructions: System instructions or guidelines provided to the model (acts as the system prompt). max_infer_iters: Maximum number of inference iterations the model can perform. max_output_tokens: Maximum number of tokens allowed in the response. max_tool_calls: Maximum number of tool calls allowed in a single response. metadata: Custom metadata dictionary with key-value pairs for tracking or logging. parallel_tool_calls: Whether the model can make multiple tool calls in parallel. previous_response_id: Identifier of the previous response in a multi-turn conversation. Mutually exclusive with conversation. prompt: Prompt object containing a template with variables for dynamic substitution. reasoning: Reasoning configuration for the response. safety_identifier: Safety identifier for the response. store: Whether to store the response in conversation history. Defaults to True. stream: Whether to stream the response as it is generated. Defaults to False. temperature: Sampling temperature controlling randomness (typically 0.0–2.0). text: Text response configuration specifying output format constraints (JSON schema, JSON object, or plain text). tool_choice: Tool selection strategy ("auto", "required", "none", or specific tool configuration). tools: List of tools available to the model (file search, web search, function calls, MCP tools). Defaults to all tools available to the model. generate_topic_summary: LCORE-specific flag indicating whether to generate a topic summary for new conversations. Defaults to True. shield_ids: LCORE-specific list of safety shield IDs to apply. If None, all configured shields are used. solr: LCORE-specific Solr vector_io provider query parameters (e.g. filter queries). Optional.

Field	Type	Description
input
model
conversation
include
instructions
max_infer_iters
max_output_tokens
max_tool_calls
metadata
parallel_tool_calls
previous_response_id
prompt
reasoning
safety_identifier
store	boolean
stream	boolean
temperature
text
tool_choice
tools
generate_topic_summary
shield_ids
solr

ResponsesResponse

Model representing a response from the Responses API following LCORE specification.

Attributes: created_at: Unix timestamp when the response was created. completed_at: Unix timestamp when the response was completed, if applicable. error: Error details if the response failed or was blocked. id: Unique identifier for this response. model: Model identifier in "provider/model" format used for generation. object: Object type identifier, always "response". output: List of structured output items containing messages, tool calls, and other content. This is the primary response content. parallel_tool_calls: Whether the model can make multiple tool calls in parallel. previous_response_id: Identifier of the previous response in a multi-turn conversation. prompt: The input prompt object that was sent to the model. status: Current status of the response (e.g., "completed", "blocked", "in_progress"). temperature: Temperature parameter used for generation (controls randomness). text: Text response configuration object used for OpenAI responses. top_p: Top-p sampling parameter used for generation. tools: List of tools available to the model during generation. tool_choice: Tool selection strategy used (e.g., "auto", "required", "none"). truncation: Strategy used for handling content that exceeds context limits. usage: Token usage statistics including input_tokens, output_tokens, and total_tokens. instructions: System instructions or guidelines provided to the model. max_tool_calls: Maximum number of tool calls allowed in a single response. reasoning: Reasoning configuration (effort level) used for the response. max_output_tokens: Upper bound for tokens generated in the response. safety_identifier: Safety/guardrail identifier applied to the request. metadata: Additional metadata dictionary with custom key-value pairs. store: Whether the response was stored. conversation: Conversation ID linking this response to a conversation thread (LCORE-specific). available_quotas: Remaining token quotas for the user (LCORE-specific). output_text: Aggregated text output from all output_text items in the output array.

Field	Type	Description
created_at	integer
completed_at
error
id	string
model	string
object	string
output	array
parallel_tool_calls	boolean
previous_response_id
prompt
status	string
temperature
text
top_p
tools
tool_choice
truncation
usage
instructions
max_tool_calls
reasoning
max_output_tokens
safety_identifier
metadata
store
conversation
available_quotas	object
output_text	string

RlsapiV1Attachment

Attachment data from rlsapi v1 context.

Attributes: contents: The textual contents of the file read on the client machine. mimetype: The MIME type of the file.

Field	Type	Description
contents	string	File contents read on client
mimetype	string	MIME type of the file

RlsapiV1CLA

Command Line Assistant information from rlsapi v1 context.

Attributes: nevra: The NEVRA (Name-Epoch-Version-Release-Architecture) of the CLA. version: The version of the command line assistant.

Field	Type	Description
nevra	string	CLA NEVRA identifier
version	string	Command line assistant version

RlsapiV1Context

Context data for rlsapi v1 /infer request.

Attributes: stdin: Redirect input read by command-line-assistant. attachments: Attachment object received by the client. terminal: Terminal object received by the client. systeminfo: System information object received by the client. cla: Command Line Assistant information.

Field	Type	Description
stdin	string	Redirect input from stdin
attachments		File attachment data
terminal		Terminal output context
systeminfo		Client system information
cla		Command line assistant metadata

RlsapiV1InferData

Response data for rlsapi v1 /infer endpoint.

Attributes: text: The generated response text. request_id: Unique identifier for the request. tool_calls: MCP tool calls made during inference (verbose mode only). tool_results: Results from MCP tool calls (verbose mode only). rag_chunks: RAG chunks retrieved from documentation (verbose mode only). referenced_documents: Source documents referenced (verbose mode only). input_tokens: Number of input tokens consumed (verbose mode only). output_tokens: Number of output tokens generated (verbose mode only).

Field	Type	Description
text	string	Generated response text
request_id		Unique request identifier
tool_calls		Tool calls made during inference (requires include_metadata=true)
tool_results		Results from tool calls (requires include_metadata=true)
rag_chunks		Retrieved RAG documentation chunks (requires include_metadata=true)
referenced_documents		Source documents referenced in answer (requires include_metadata=true)
input_tokens		Number of input tokens consumed (requires include_metadata=true)
output_tokens		Number of output tokens generated (requires include_metadata=true)

RlsapiV1InferRequest

RHEL Lightspeed rlsapi v1 /infer request.

Attributes: question: User question string. context: Context with system info, terminal output, etc. (defaults provided). skip_rag: Reserved for future use. RAG retrieval is not yet implemented. include_metadata: Request extended response with debugging metadata (dev/testing only).

Example: python request = RlsapiV1InferRequest( question="How do I list files?", context=RlsapiV1Context( systeminfo=RlsapiV1SystemInfo(os="RHEL", version="9.3"), terminal=RlsapiV1Terminal(output="bash: command not found"), ), )

Field	Type	Description
question	string	User question
context		Optional context (system info, terminal output, stdin, attachments)
skip_rag	boolean	Reserved for future use. RAG retrieval is not yet implemented.
include_metadata	boolean	[Development/Testing Only] Return extended response with debugging metadata (tool_calls, rag_chunks, tokens). Only honored when allow_verbose_infer is enabled. Not available in production.

RlsapiV1InferResponse

RHEL Lightspeed rlsapi v1 /infer response.

Attributes: data: Response data containing text and request_id.

Field	Type	Description
data		Response data containing text and request_id

RlsapiV1SystemInfo

System information from rlsapi v1 context.

Attributes: os: The operating system of the client machine. version: The version of the operating system. arch: The architecture of the client machine. system_id: The id of the client machine.

Field	Type	Description
os	string	Operating system name
version	string	Operating system version
arch	string	System architecture
id	string	Client machine ID

RlsapiV1Terminal

Terminal output from rlsapi v1 context.

Attributes: output: The textual contents of the terminal read on the client machine.

Field	Type	Description
output	string	Terminal output from client

SQLiteDatabaseConfiguration

SQLite database configuration.

Field	Type	Description
db_path	string	Path to file where SQLite database is stored

SearchRankingOptions

Options for ranking and filtering search results.

This class configures how search results are ranked and filtered. You can use algorithm-based rerankers (weighted, RRF) or neural rerankers. Defaults from VectorStoresConfig are used when parameters are not provided.

Examples: # Weighted ranker with custom alpha SearchRankingOptions(ranker="weighted", alpha=0.7)

# RRF ranker with custom impact factor
SearchRankingOptions(ranker="rrf", impact_factor=50.0)

# Use config defaults (just specify ranker type)
SearchRankingOptions(ranker="weighted")  # Uses alpha from VectorStoresConfig

# Score threshold filtering
SearchRankingOptions(ranker="weighted", score_threshold=0.5)

:param ranker: (Optional) Name of the ranking algorithm to use. Supported values: - "weighted": Weighted combination of vector and keyword scores - "rrf": Reciprocal Rank Fusion algorithm - "neural": Neural reranking model (requires model parameter, Part II) Note: For OpenAI API compatibility, any string value is accepted, but only the above values are supported. :param score_threshold: (Optional) Minimum relevance score threshold for results. Default: 0.0 :param alpha: (Optional) Weight factor for weighted ranker (0-1). - 0.0 = keyword only - 0.5 = equal weight (default) - 1.0 = vector only Only used when ranker="weighted" and weights is not provided. Falls back to VectorStoresConfig.chunk_retrieval_params.weighted_search_alpha if not provided. :param impact_factor: (Optional) Impact factor (k) for RRF algorithm. Lower values emphasize higher-ranked results. Default: 60.0 (optimal from research). Only used when ranker="rrf". Falls back to VectorStoresConfig.chunk_retrieval_params.rrf_impact_factor if not provided. :param weights: (Optional) Dictionary of weights for combining different signal types. Keys can be "vector", "keyword", "neural". Values should sum to 1.0. Used when combining algorithm-based reranking with neural reranking (Part II). Example: {"vector": 0.3, "keyword": 0.3, "neural": 0.4} :param model: (Optional) Model identifier for neural reranker (e.g., "vllm/Qwen3-Reranker-0.6B"). Required when ranker="neural" or when weights contains "neural" (Part II).

Field	Type	Description
ranker
score_threshold
alpha		Weight factor for weighted ranker
impact_factor		Impact factor for RRF algorithm
weights		Weights for combining vector, keyword, and neural scores. Keys: 'vector', 'keyword', 'neural'
model		Model identifier for neural reranker

SecurityScheme

ServiceConfiguration

Service configuration.

Lightspeed Core Stack is a REST API service that accepts requests on a specified hostname and port. It is also possible to enable authentication and specify the number of Uvicorn workers. When more workers are specified, the service can handle requests concurrently.

Field	Type	Description
host	string	Service hostname
port	integer	Service port
base_url		Externally reachable base URL for the service; needed for A2A support.
auth_enabled	boolean	Enables the authentication subsystem
workers	integer	Number of Uvicorn worker processes to start
color_log	boolean	Enables colorized logging
access_log	boolean	Enables logging of all access information
tls_config		Transport Layer Security configuration for HTTPS support
root_path	string	ASGI root path for serving behind a reverse proxy on a subpath
cors		Cross-Origin Resource Sharing configuration for cross-domain requests

ServiceUnavailableResponse

503 Backend Unavailable.

Field	Type	Description
status_code	integer
detail

ShieldsResponse

Model representing a response to shields request.

Field	Type	Description
shields	array	List of shields available

SplunkConfiguration

Splunk HEC (HTTP Event Collector) configuration.

Splunk HEC allows sending events directly to Splunk over HTTP/HTTPS. This configuration is used to send telemetry events for inference requests to the corporate Splunk deployment.

Useful resources:

Field	Type	Description
enabled	boolean	Enable or disable Splunk HEC integration.
url		Splunk HEC endpoint URL.
token_path		Path to file containing the Splunk HEC authentication token.
index		Target Splunk index for events.
source	string	Event source identifier.
timeout	integer	HTTP timeout in seconds for HEC requests.
verify_ssl	boolean	Whether to verify SSL certificates for HEC endpoint.

StatusResponse

Model representing a response to a status request.

Attributes: functionality: The functionality of the service. status: The status of the service.

Example: python status_response = StatusResponse( functionality="feedback", status={"enabled": True}, )

Field	Type	Description
functionality	string	The functionality of the service
status	object	The status of the service

StreamingInterruptRequest

Model representing a request to interrupt an active streaming query.

Attributes: request_id: Unique ID of the active streaming request to interrupt.

Field	Type	Description
request_id	string	The active streaming request ID to interrupt

StreamingInterruptResponse

Model representing a response to a streaming interrupt request.

Attributes: request_id: The streaming request ID targeted by the interrupt call. interrupted: Whether an in-progress stream was interrupted. message: Human-readable interruption status message.

Example: python response = StreamingInterruptResponse( request_id="123e4567-e89b-12d3-a456-426614174000", interrupted=True, message="Streaming request interrupted", )

Field	Type	Description
request_id	string	The streaming request ID targeted by the interrupt call
interrupted	boolean	Whether an in-progress stream was interrupted
message	string	Human-readable interruption status message

TLSConfiguration

TLS configuration.

Transport Layer Security (TLS) is a cryptographic protocol designed to provide communications security over a computer network, such as the Internet. The protocol is widely used in applications such as email, instant messaging, and voice over IP, but its use in securing HTTPS remains the most publicly visible.

Useful resources:

Field	Type	Description
tls_certificate_path		SSL/TLS certificate file path for HTTPS support.
tls_key_path		SSL/TLS private key file path for HTTPS support.
tls_key_password		Path to file containing the password to decrypt the SSL/TLS private key.

ToolCallSummary

Model representing a tool call made during response generation (for tool_calls list).

Field	Type	Description
id	string	ID of the tool call
name	string	Name of the tool called
args	object	Arguments passed to the tool
type	string	Type indicator for tool call

ToolResultSummary

Model representing a result from a tool call (for tool_results list).

Field	Type	Description
id	string	ID of the tool call/result, matches the corresponding tool call 'id'
status	string	Status of the tool execution (e.g., 'success')
content	string	Content/result returned from the tool
type	string	Type indicator for tool result
round	integer	Round number or step of tool execution

ToolsResponse

Model representing a response to tools request.

Field	Type	Description
tools	array	List of tools available from all configured MCP servers and built-in toolgroups

UnauthorizedResponse

401 Unauthorized - Missing or invalid credentials.

Field	Type	Description
status_code	integer
detail

UnprocessableEntityResponse

422 Unprocessable Entity - Request validation failed.

Field	Type	Description
status_code	integer
detail

UserDataCollection

User data collection configuration.

Field	Type	Description
feedback_enabled	boolean	When set to true the user feedback is stored and later sent for analysis.
feedback_storage		Path to directory where feedback will be saved for further processing.
transcripts_enabled	boolean	When set to true the conversation history is stored and later sent for analysis.
transcripts_storage		Path to directory where conversation history will be saved for further processing.

ValidationError

Field	Type	Description
loc	array
msg	string
type	string
input
ctx	object

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Lightspeed Core Service (LCS) service - OpenAPI

🌍 Base URL

🛠️ APIs

List of REST API endpoints

GET /

✅ Responses

GET /v1/info

✅ Responses

GET /v1/models

Parameters:

Raises:

Returns:

🔗 Parameters

✅ Responses

GET /v1/tools

✅ Responses

GET /v1/mcp-auth/client-options

✅ Responses

GET /v1/mcp-servers

✅ Responses

POST /v1/mcp-servers

📦 Request Body

✅ Responses

DELETE /v1/mcp-servers/{name}

🔗 Parameters

✅ Responses

GET /v1/shields

✅ Responses

GET /v1/providers

✅ Responses

GET /v1/providers/{provider_id}

🔗 Parameters

✅ Responses

GET /v1/rags

✅ Responses

GET /v1/rags/{rag_id}

🔗 Parameters

✅ Responses

POST /v1/query

📦 Request Body

✅ Responses

POST /v1/streaming_query

📦 Request Body

✅ Responses

POST /v1/streaming_query/interrupt

📦 Request Body

✅ Responses

GET /v1/config

✅ Responses

POST /v1/feedback

📦 Request Body

✅ Responses

GET /v1/feedback/status

✅ Responses

PUT /v1/feedback/status

📦 Request Body

✅ Responses

GET /v1/conversations

✅ Responses

GET /v1/conversations/{conversation_id}

🔗 Parameters

✅ Responses

DELETE /v1/conversations/{conversation_id}

🔗 Parameters

✅ Responses

PUT /v1/conversations/{conversation_id}

🔗 Parameters

📦 Request Body

✅ Responses

GET /v2/conversations

✅ Responses

GET /v2/conversations/{conversation_id}

🔗 Parameters

✅ Responses

GET `/`

GET `/v1/info`

GET `/v1/models`

GET `/v1/tools`

GET `/v1/mcp-auth/client-options`

GET `/v1/mcp-servers`

POST `/v1/mcp-servers`

DELETE `/v1/mcp-servers/{name}`

GET `/v1/shields`

GET `/v1/providers`

GET `/v1/providers/{provider_id}`

GET `/v1/rags`

GET `/v1/rags/{rag_id}`

POST `/v1/query`

POST `/v1/streaming_query`

POST `/v1/streaming_query/interrupt`

GET `/v1/config`

POST `/v1/feedback`

GET `/v1/feedback/status`

PUT `/v1/feedback/status`

GET `/v1/conversations`

GET `/v1/conversations/{conversation_id}`

DELETE `/v1/conversations/{conversation_id}`

PUT `/v1/conversations/{conversation_id}`

GET `/v2/conversations`

GET `/v2/conversations/{conversation_id}`

DELETE `/v2/conversations/{conversation_id}`

PUT `/v2/conversations/{conversation_id}`

POST `/v1/responses`

POST `/v1/infer`

GET `/readiness`

GET `/liveness`

POST `/authorized`

GET `/metrics`

GET `/.well-known/agent-card.json`

GET `/.well-known/agent.json`

GET `/a2a`

POST `/a2a`

GET `/a2a/health`