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{
"openapi": "3.0.0",
"info": {
"version": "1.0.0",
"title": "LiteLLM API",
"description": "API for LiteLLM"
},
"paths": {
"/chat/completions": {
"post": {
"summary": "Create chat completion for 100+ LLM APIs",
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"type": "object",
"properties": {
"model": {
"type": "string",
"description": "ID of the model to use"
},
"messages": {
"type": "array",
"items": {
"type": "object",
"properties": {
"role": {
"type": "string",
"description": "The role of the message's author"
},
"content": {
"type": "string",
"description": "The contents of the message"
},
"name": {
"type": "string",
"description": "The name of the author of the message"
},
"function_call": {
"type": "object",
"description": "The name and arguments of a function that should be called"
}
}
}
},
"functions": {
"type": "array",
"items": {
"type": "object",
"properties": {
"name": {
"type": "string",
"description": "The name of the function to be called"
},
"description": {
"type": "string",
"description": "A description explaining what the function does"
},
"parameters": {
"type": "object",
"description": "The parameters that the function accepts"
},
"function_call": {
"type": "string",
"description": "Controls how the model responds to function calls"
}
}
}
},
"temperature": {
"type": "number",
"description": "The sampling temperature to be used"
},
"top_p": {
"type": "number",
"description": "An alternative to sampling with temperature"
},
"n": {
"type": "integer",
"description": "The number of chat completion choices to generate for each input message"
},
"stream": {
"type": "boolean",
"description": "If set to true, it sends partial message deltas"
},
"stop": {
"type": "array",
"items": {
"type": "string"
},
"description": "Up to 4 sequences where the API will stop generating further tokens"
},
"max_tokens": {
"type": "integer",
"description": "The maximum number of tokens to generate in the chat completion"
},
"presence_penalty": {
"type": "number",
"description": "It is used to penalize new tokens based on their existence in the text so far"
},
"frequency_penalty": {
"type": "number",
"description": "It is used to penalize new tokens based on their frequency in the text so far"
},
"logit_bias": {
"type": "object",
"description": "Used to modify the probability of specific tokens appearing in the completion"
},
"user": {
"type": "string",
"description": "A unique identifier representing your end-user"
}
}
}
}
}
},
"responses": {
"200": {
"description": "Successful operation",
"content": {
"application/json": {
"schema": {
"type": "object",
"properties": {
"choices": {
"type": "array",
"items": {
"type": "object",
"properties": {
"finish_reason": {
"type": "string"
},
"index": {
"type": "integer"
},
"message": {
"type": "object",
"properties": {
"role": {
"type": "string"
},
"content": {
"type": "string"
}
}
}
}
}
},
"created": {
"type": "string"
},
"model": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"prompt_tokens": {
"type": "integer"
},
"completion_tokens": {
"type": "integer"
},
"total_tokens": {
"type": "integer"
}
}
}
}
}
}
}
},
"500": {
"description": "Server error"
}
}
}
},
"/completions": {
"post": {
"summary": "Create completion",
"responses": {
"200": {
"description": "Successful operation"
},
"500": {
"description": "Server error"
}
}
}
},
"/models": {
"get": {
"summary": "Get models",
"responses": {
"200": {
"description": "Successful operation"
}
}
}
},
"/ollama_logs": {
"get": {
"summary": "Retrieve server logs for ollama models",
"responses": {
"200": {
"description": "Successful operation",
"content": {
"application/octet-stream": {
"schema": {
"type": "string",
"format": "binary"
}
}
}
}
}
}
},
"/": {
"get": {
"summary": "Home",
"responses": {
"200": {
"description": "Successful operation"
}
}
}
}
}
}
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