Blazing Bullet Private Limited Settings API
The Settings API from Blazing Bullet Private Limited — 2 operation(s) for settings.
The Settings API from Blazing Bullet Private Limited — 2 operation(s) for settings.
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openapi: 3.2.0
info:
title: LiteLLM Settings API
description: 'Proxy Server to call 100+ LLMs in the OpenAI format. **Customize Swagger Docs**
👉 ```LiteLLM Admin Panel on /ui```. Create, Edit Keys with SSO. Having issues? Try ```Fallback Login```
💸 ```LiteLLM Model Cost Map```.
🔎 ```LiteLLM Model Hub```. See available models on the proxy. **Docs**'
version: 1.93.0
tags:
- name: Settings
paths:
/get/mcp_semantic_filter_settings:
get:
tags:
- Settings
summary: Get Mcp Semantic Filter Settings
description: 'Get MCP semantic filter configuration.
Returns current settings for semantic tool filtering.'
operationId: get_mcp_semantic_filter_settings_get_mcp_semantic_filter_settings_get
responses:
'200':
description: Successful Response
content:
application/json:
schema:
$ref: '#/components/schemas/MCPSemanticFilterSettingsResponse'
security:
- APIKeyHeader: []
/update/mcp_semantic_filter_settings:
patch:
tags:
- Settings
summary: Update Mcp Semantic Filter Settings
description: 'Update MCP semantic filter settings in database.
Settings will be picked up by all pods within approximately 10 seconds via background polling.'
operationId: update_mcp_semantic_filter_settings_update_mcp_semantic_filter_settings_patch
requestBody:
content:
application/json:
schema:
$ref: '#/components/schemas/MCPSemanticFilterSettings'
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: []
components:
schemas:
MCPSemanticFilterSettings:
properties:
enabled:
type: boolean
title: Enabled
description: Enable semantic filtering of MCP tools based on query relevance
default: false
embedding_model:
type: string
title: Embedding Model
description: Embedding model to use for semantic similarity (e.g., 'text-embedding-3-small', 'text-embedding-ada-002')
default: text-embedding-3-small
top_k:
type: integer
maximum: 100.0
minimum: 1.0
title: Top K
description: Number of most relevant tools to return
default: 10
similarity_threshold:
type: number
maximum: 1.0
minimum: 0.0
title: Similarity Threshold
description: Minimum similarity score for tool inclusion (0.0 to 1.0, where 1.0 = exact match)
default: 0.3
type: object
title: MCPSemanticFilterSettings
description: Configuration for MCP Semantic Tool Filter
HTTPValidationError:
properties:
detail:
items:
$ref: '#/components/schemas/ValidationError'
type: array
title: Detail
type: object
title: HTTPValidationError
MCPSemanticFilterSettingsResponse:
properties:
values:
additionalProperties: true
type: object
title: Values
field_schema:
additionalProperties: true
type: object
title: Field Schema
type: object
required:
- values
- field_schema
title: MCPSemanticFilterSettingsResponse
description: Response model for MCP semantic filter settings
ValidationError:
properties:
loc:
items:
anyOf:
- type: string
- type: integer
type: array
title: Location
msg:
type: string
title: Message
type:
type: string
title: Error Type
input:
title: Input
ctx:
type: object
title: Context
type: object
required:
- loc
- msg
- type
title: ValidationError
securitySchemes:
APIKeyHeader:
type: apiKey
description: Bearer token
in: header
name: x-litellm-api-key