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feat(llm): mask API keys in UI responses and prevent masked-key leakage in fetch/test/save payloads

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- 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
This commit is contained in:
busya
2026-05-15 23:34:09 +03:00
parent b3572ce443
commit 30ba70933d
203 changed files with 158083 additions and 28396 deletions
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100
docs/openapi/litellm/chunks_paths/paths_model_group.json Normal file
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{
"/model_group/info": {
"get": {
"tags": [
"model management"
],
"summary": "Model Group Info",
"description": "Get information about all the deployments on litellm proxy, including config.yaml descriptions (except api key and api base)\n\n- /model_group/info returns all model groups. End users of proxy should use /model_group/info since those models will be used for /chat/completions, /embeddings, etc.\n- /model_group/info?model_group=rerank-english-v3.0 returns all model groups for a specific model group (`model_name` in config.yaml)\n\n\n\nExample Request (All Models):\n```shell\ncurl -X 'GET' 'http://localhost:4000/model_group/info' -H 'accept: application/json' -H 'x-api-key: sk-1234'\n```\n\nExample Request (Specific Model Group):\n```shell\ncurl -X 'GET' 'http://localhost:4000/model_group/info?model_group=rerank-english-v3.0' -H 'accept: application/json' -H 'Authorization: Bearer sk-1234'\n```\n\nExample Request (Specific Wildcard Model Group): (e.g. `model_name: openai/*` on config.yaml)\n```shell\ncurl -X 'GET' 'http://localhost:4000/model_group/info?model_group=openai/tts-1'\n-H 'accept: application/json' -H 'Authorization: Bearersk-1234'\n```\n\nLearn how to use and set wildcard models [here](https://docs.litellm.ai/docs/wildcard_routing)\n\nExample Response:\n```json\n {\n \"data\": [\n {\n \"model_group\": \"rerank-english-v3.0\",\n \"providers\": [\n \"cohere\"\n ],\n \"max_input_tokens\": null,\n \"max_output_tokens\": null,\n \"input_cost_per_token\": 0.0,\n \"output_cost_per_token\": 0.0,\n \"mode\": null,\n \"tpm\": null,\n \"rpm\": null,\n \"supports_parallel_function_calling\": false,\n \"supports_vision\": false,\n \"supports_function_calling\": false,\n \"supported_openai_params\": [\n \"stream\",\n \"temperature\",\n \"max_tokens\",\n \"logit_bias\",\n \"top_p\",\n \"frequency_penalty\",\n \"presence_penalty\",\n \"stop\",\n \"n\",\n \"extra_headers\"\n ]\n },\n {\n \"model_group\": \"gpt-3.5-turbo\",\n \"providers\": [\n \"openai\"\n ],\n \"max_input_tokens\": 16385.0,\n \"max_output_tokens\": 4096.0,\n \"input_cost_per_token\": 1.5e-06,\n \"output_cost_per_token\": 2e-06,\n \"mode\": \"chat\",\n \"tpm\": null,\n \"rpm\": null,\n \"supports_parallel_function_calling\": false,\n \"supports_vision\": false,\n \"supports_function_calling\": true,\n \"supported_openai_params\": [\n \"frequency_penalty\",\n \"logit_bias\",\n \"logprobs\",\n \"top_logprobs\",\n \"max_tokens\",\n \"max_completion_tokens\",\n \"n\",\n \"presence_penalty\",\n \"seed\",\n \"stop\",\n \"stream\",\n \"stream_options\",\n \"temperature\",\n \"top_p\",\n \"tools\",\n \"tool_choice\",\n \"function_call\",\n \"functions\",\n \"max_retries\",\n \"extra_headers\",\n \"parallel_tool_calls\",\n \"response_format\"\n ]\n },\n {\n \"model_group\": \"llava-hf\",\n \"providers\": [\n \"openai\"\n ],\n \"max_input_tokens\": null,\n \"max_output_tokens\": null,\n \"input_cost_per_token\": 0.0,\n \"output_cost_per_token\": 0.0,\n \"mode\": null,\n \"tpm\": null,\n \"rpm\": null,\n \"supports_parallel_function_calling\": false,\n \"supports_vision\": true,\n \"supports_function_calling\": false,\n \"supported_openai_params\": [\n \"frequency_penalty\",\n \"logit_bias\",\n \"logprobs\",\n \"top_logprobs\",\n \"max_tokens\",\n \"max_completion_tokens\",\n \"n\",\n \"presence_penalty\",\n \"seed\",\n \"stop\",\n \"stream\",\n \"stream_options\",\n \"temperature\",\n \"top_p\",\n \"tools\",\n \"tool_choice\",\n \"function_call\",\n \"functions\",\n \"max_retries\",\n \"extra_headers\",\n \"parallel_tool_calls\",\n \"response_format\"\n ]\n }\n ]\n }\n```",
"operationId": "model_group_info_model_group_info_get",
"security": [
{
"APIKeyHeader": []
}
],
"parameters": [
{
"name": "model_group",
"in": "query",
"required": false,
"schema": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"title": "Model Group"
}
}
],
"responses": {
"200": {
"description": "Successful Response",
"content": {
"application/json": {
"schema": {}
}
}
},
"422": {
"description": "Validation Error",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/HTTPValidationError"
}
}
}
}
}
}
},
"/model_group/make_public": {
"post": {
"tags": [
"model management"
],
"summary": "Update Public Model Groups",
"description": "Update which model groups are public",
"operationId": "update_public_model_groups_model_group_make_public_post",
"requestBody": {
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/UpdatePublicModelGroupsRequest"
}
}
},
"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": []
}
]
}
}
}