Files
ss-tools/docs/openapi/litellm/chunks_paths/paths_utils.json
busya 30ba70933d feat(llm): mask API keys in UI responses and prevent masked-key leakage in fetch/test/save payloads
- Add mask_api_key() and is_masked_or_placeholder() to llm_provider service
- Return masked keys in all provider CRUD endpoints
- Reject masked/placeholder keys in fetch_models and test_provider_config
- Show masked key with Change button in ProviderConfig.svelte edit form
- Exclude masked keys from fetch-models, test, and submit payloads on frontend
- Update semantics-core skill with clarified complexity tier rules
- Switch agent modes from subagent to all
2026-05-15 23:34:09 +03:00

248 lines
6.7 KiB
JSON

{
"/utils/dotprompt_json_converter": {
"post": {
"tags": [
"prompts",
"utils"
],
"summary": "Convert Prompt File To Json",
"description": "Convert a .prompt file to JSON format.\n\nThis endpoint accepts a .prompt file upload and returns the equivalent JSON representation\nthat can be stored in a database or used programmatically.\n\nReturns the JSON structure with 'content' and 'metadata' fields.",
"operationId": "convert_prompt_file_to_json_utils_dotprompt_json_converter_post",
"requestBody": {
"content": {
"multipart/form-data": {
"schema": {
"$ref": "#/components/schemas/Body_convert_prompt_file_to_json_utils_dotprompt_json_converter_post"
}
}
},
"required": true
},
"responses": {
"200": {
"description": "Successful Response",
"content": {
"application/json": {
"schema": {
"additionalProperties": true,
"type": "object",
"title": "Response Convert Prompt File To Json Utils Dotprompt Json Converter Post"
}
}
}
},
"422": {
"description": "Validation Error",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/HTTPValidationError"
}
}
}
}
},
"security": [
{
"APIKeyHeader": []
}
]
}
},
"/utils/supported_openai_params": {
"get": {
"tags": [
"llm utils"
],
"summary": "Supported Openai Params",
"description": "Returns supported openai params for a given litellm model name\n\ne.g. `gpt-4` vs `gpt-3.5-turbo`\n\nExample curl:\n```\ncurl -X GET --location 'http://localhost:4000/utils/supported_openai_params?model=gpt-3.5-turbo-16k' --header 'Authorization: Bearer sk-1234'\n```",
"operationId": "supported_openai_params_utils_supported_openai_params_get",
"security": [
{
"APIKeyHeader": []
}
],
"parameters": [
{
"name": "model",
"in": "query",
"required": true,
"schema": {
"type": "string",
"title": "Model"
}
}
],
"responses": {
"200": {
"description": "Successful Response",
"content": {
"application/json": {
"schema": {}
}
}
},
"422": {
"description": "Validation Error",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/HTTPValidationError"
}
}
}
}
}
}
},
"/utils/test_policies_and_guardrails": {
"post": {
"tags": [
"utils"
],
"summary": "Test Policies And Guardrails",
"description": "Apply policies and/or guardrails to inputs (for compliance UI testing).\n\nUse inputs_list for batch testing: each input is processed as a separate call so\nper-input block/allow and errors are returned.\n\nUse inputs for a single call (legacy).",
"operationId": "test_policies_and_guardrails_utils_test_policies_and_guardrails_post",
"requestBody": {
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/TestPoliciesAndGuardrailsRequest"
}
}
},
"required": true
},
"responses": {
"200": {
"description": "Successful Response",
"content": {
"application/json": {
"schema": {}
}
}
},
"422": {
"description": "Validation Error",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/HTTPValidationError"
}
}
}
}
},
"security": [
{
"APIKeyHeader": []
}
]
}
},
"/utils/token_counter": {
"post": {
"tags": [
"llm utils"
],
"summary": "Token Counter",
"description": "Args:\n request: TokenCountRequest\n call_endpoint: bool - When set to \"True\" it will call the token counting endpoint - e.g Anthropic or Google AI Studio Token Counting APIs.\n\nReturns:\n TokenCountResponse",
"operationId": "token_counter_utils_token_counter_post",
"security": [
{
"APIKeyHeader": []
}
],
"parameters": [
{
"name": "call_endpoint",
"in": "query",
"required": false,
"schema": {
"type": "boolean",
"default": false,
"title": "Call Endpoint"
}
}
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/TokenCountRequest"
}
}
}
},
"responses": {
"200": {
"description": "Successful Response",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/TokenCountResponse"
}
}
}
},
"422": {
"description": "Validation Error",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/HTTPValidationError"
}
}
}
}
}
}
},
"/utils/transform_request": {
"post": {
"tags": [
"llm utils"
],
"summary": "Transform Request",
"operationId": "transform_request_utils_transform_request_post",
"requestBody": {
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/TransformRequestBody"
}
}
},
"required": true
},
"responses": {
"200": {
"description": "Successful Response",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/RawRequestTypedDict"
}
}
}
},
"422": {
"description": "Validation Error",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/HTTPValidationError"
}
}
}
}
},
"security": [
{
"APIKeyHeader": []
}
]
}
}
}