Gemini Llm Responses Live

{
  "$defs": {
    "AiOptimizationGeminiLlmResponsesLiveRequestInfo": {
      "properties": {
        "max_output_tokens": {
          "anyOf": [
            {
              "description": "maximum number of tokens in the AI responseoptional fieldminimum value: 1maximum value: 4096;default value: 2048;Note: if web_search is set to true or the reasoning model is specified in the request, the output token count may exceed the specified max_output_tokens limitNote #2: if use_reasoning is set to true, the minimum value for max_output_tokens is 1024",
              "type": "integer"
            },
            {
              "type": "null"
            }
          ]
        },
        "message_chain": {
          "anyOf": [
            {
              "description": "conversation history optional field array of message objects representing previous conversation turns; each object must contain: role string with either user or ai role; message string with message content (max 500 characters); you can specify maximum of 10 message objects in the array; Note: for Perplexity models, messages must strictly alternate between user and AI roles (user → ai); example: \"message_chain\": [{\"role\":\"user\",\"message\":\"Hello, what’s up?\"},{\"role\":\"ai\",\"message\":\"Hello! I’m doi",
              "items": {
                "anyOf": [
                  {
                    "oneOf": [
                      {
                        "$ref": "#/$defs/LlmMessageChainItem"
                      }
                    ],
                    "type": "object"
                  },
                  {
                    "type": "null"
                  }
                ]
              },
              "type": "array"
            },
            {
              "type": "null"
            }
          ]
        },
        "model_name": {
          "description": "name of the AI modelrequired fieldmodel_nameconsists of the actual model name and version name;if the basic model name is specified, its latest version will be set by default;for example, if gemini-1.5-pro is specified, the gemini-1.5-pro-002 will be set as model_name automatically;you can receive the list of available LLM models by making a separate request to the",
          "type": "string"
        },
        "system_message": {
          "anyOf": [
            {
              "description": "instructions for the AI behavioroptional fielddefines the AI's role, tone, or specific behavior you can specify up to 500 characters in the system_message field",
              "type": "string"
            },
            {
              "type": "null"
            }
          ]
        },
        "tag": {
          "anyOf": [
            {
              "description": "user-defined task identifieroptional fieldthe character limit is 255you can use this parameter to identify the task and match it with the resultyou will find the specified tag value in the data object of the response",
              "type": "string"
            },
            {
              "type": "null"
            }
          ]
        },
        "temperature": {
          "anyOf": [
            {
              "description": "randomness of the AI responseoptional fieldhigher values make output more diverse lower values make output more focusedminimum value: 0maximum value: 2default value: 1.3",
              "type": "number"
            },
            {
              "type": "null"
            }
          ]
        },
        "top_p": {
          "anyOf": [
            {
              "description": "diversity of the AI responseoptional field controls diversity of the response by limiting token selectionminimum value: 0maximum value: 1 default value: 0.9",
              "type": "number"
            },
            {
              "type": "null"
            }
          ]
        },
        "use_reasoning": {
          "anyOf": [
            {
              "description": "enable reasoning for the AI modeloptional fieldwhen enabled, the model will perform reasoning before generating a responserefer to the Models endpoint for a list of models that support reasoningdefault value: falseNote: if set to true, the minimum value for max_output_tokens is 1024Note #2: for Gemini Pro models, the use_reasoning will automatically be set to true",
              "type": "boolean"
            },
            {
              "type": "null"
            }
          ]
        },
        "user_prompt": {
          "description": "prompt for the AI modelrequired fieldthe question or task you want to send to the AI model;you can specify up to 500 characters in the user_prompt field",
          "type": "string"
        },
        "web_search": {
          "anyOf": [
            {
              "description": "enable web search for current informationoptional fieldwhen enabled, the AI model can access and cite current web information;Note: refer to the Models endpoint for a list of models that support web_search; default value: false;The cost of the parameter can be calculated on the Pricing page",
              "type": "boolean"
            },
            {
              "type": "null"
            }
          ]
        }
      },
      "type": "object"
    },
    "LlmMessageChainItem": {
      "properties": {
        "message": {
          "anyOf": [
            {
              "description": "message text",
              "type": "string"
            },
            {
              "type": "null"
            }
          ]
        },
        "role": {
          "anyOf": [
            {
              "description": "role of the user from whom the message originates",
              "type": "string"
            },
            {
              "type": "null"
            }
          ]
        }
      },
      "type": "object"
    }
  },
  "additionalProperties": false,
  "properties": {
    "body": {
      "items": {
        "anyOf": [
          {
            "oneOf": [
              {
                "$ref": "#/$defs/AiOptimizationGeminiLlmResponsesLiveRequestInfo"
              }
            ],
            "type": "object"
          },
          {
            "type": "null"
          }
        ]
      },
      "type": "array"
    }
  },
  "required": [],
  "type": "object"
}