gemini-1.5-pro

This documentation is valid for the following list of our models:

• gemini-1.5-pro

Model Overview

A state-of-the-art multimodal AI model designed to process and understand various data types, including text, images, videos, audio, and code. It excels in tasks requiring long-context understanding and interleaving of different modalities.

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API Schema

Generate a conversational response using a language model.

Creates a chat completion using a language model, allowing interactive conversation by predicting the next response based on the given chat history. This is useful for AI-driven dialogue systems and virtual assistants.

post

/v1/chat/completions

Authorizations

Body

frequency_penaltynumber | nullable

max_tokensnumber · min: 1 · default: 512

presence_penaltynumber | nullable

streamboolean · default: false

top_pnumber · min: 0.1 · max: 1

temperaturenumber · max: 2

modelundefined · enumrequired

Options: gemini-1.5-pro

logit_biasobject | nullable

stopany of

tool_choiceany of

toolsobject[]

messagesone of[]required

Responses

cURL

JavaScript

Python

HTTP

cURL

curl -L \
  --request POST \
  --url 'https://api.aimlapi.com/v1/chat/completions' \
  --header 'Authorization: Bearer JWT' \
  --header 'Content-Type: application/json' \
  --data '{
    "frequency_penalty": 1,
    "max_tokens": 512,
    "presence_penalty": 1,
    "stream": false,
    "top_p": 1,
    "temperature": 1,
    "model": "gemini-1.5-pro",
    "logit_bias": {
      "ANY_ADDITIONAL_PROPERTY": 1
    },
    "stop": "text",
    "tool_choice": "none",
    "tools": [
      {
        "type": "function",
        "function": {
          "description": "text",
          "name": "text",
          "parameters": {
            "ANY_ADDITIONAL_PROPERTY": null
          }
        }
      }
    ],
    "messages": [
      {
        "name": "text",
        "role": "system",
        "content": "text"
      }
    ]
  }'

201

201

No body