google/gemini-3.5-flash

LLM

Gemini 3.5 Flash API by Google

google/gemini-3.5-flash

Gemini-3.5-flash

Fast and cost-efficient multimodal model designed for high-throughput applications, real-time interactions, and everyday AI tasks.

Gemini 3.5 Flash is ontwikkeld door Google. Atlas Cloud (geëxploiteerd door Atlas Cloud AI LLC) biedt toegang tot het model maar is niet de eigenaar ervan. Alle handelsmerken zijn eigendom van hun respectieve eigenaren.

Parameters

Codevoorbeeld
import os
import requests

# Multimodal Understanding Example
# Image: inline_data with base64 bytes, or file_data with a public URL
# Video: file_data with a public URL (recommended for large files)

url = "https://api.atlascloud.ai/v1/models/google/gemini-3.5-flash:generateContent"
headers = {
    "Content-Type": "application/json",
    "Authorization": f"Bearer {os.environ['ATLASCLOUD_API_KEY']}"
}
payload = {
    "contents": [
        {
            "role": "user",
            "parts": [
                {
                    "inline_data": {
                        "mime_type": "image/png",
                        "data": "<BASE64_IMAGE_DATA>"
                    }
                },
                {
                    "file_data": {
                        "mime_type": "video/mp4",
                        "file_uri": "https://example.com/your-video.mp4"
                    }
                },
                {
                    "text": "Please describe the content of this image/video"
                }
            ]
        }
    ],
    "generationConfig": {
        "maxOutputTokens": 32768,
        "temperature": 0.7
    }
}

response = requests.post(url, headers=headers, json=payload)
print(response.json()["candidates"][0]["content"]["parts"][0]["text"])

Installeren

Installeer het vereiste pakket voor uw programmeertaal.

pip install requests

Authenticatie

Alle API-verzoeken vereisen authenticatie via een API-sleutel. U kunt uw API-sleutel ophalen via het Atlas Cloud dashboard.

export ATLASCLOUD_API_KEY="your-api-key-here"

HTTP-headers

import os

API_KEY = os.environ.get("ATLASCLOUD_API_KEY")
headers = {
    "Content-Type": "application/json",
    "Authorization": f"Bearer {API_KEY}"
}

Bescherm uw API-sleutel

Stel uw API-sleutel nooit bloot in client-side code of openbare repositories. Gebruik in plaats daarvan omgevingsvariabelen of een backend-proxy.

Een verzoek indienen

import requests

url = "https://api.atlascloud.ai/v1/models/google/gemini-3.5-flash:generateContent"
headers = {
    "Content-Type": "application/json",
    "Authorization": "Bearer $ATLASCLOUD_API_KEY"
}
data = {
    "contents": [
        {
            "role": "user",
            "parts": [
                {
                    "text": "what is difference between http and https"
                }
            ]
        }
    ],
    "generationConfig": {
        "maxOutputTokens": 32768,
        "temperature": 0.7
    }
}

response = requests.post(url, headers=headers, json=data)
print(response.json())

Invoer-Schema

De volgende parameters worden geaccepteerd in de verzoekinhoud.

Totaal: 3Vereist: 1Optioneel: 2

contentsarray[object]required

The conversation so far. Note: the model ID goes in the URL path, not in the body.

rolestringrequired

Who produced this turn. Use "user" for input and "model" for previous replies.

usermodel

partsarray[object]required

Ordered content parts. Combine a media part with a text part to ask a question about the media. Accepts image (png, jpeg, webp, gif), video (mp4, mpeg, mov, avi, flv, mpg, webm, wmv, 3gp).

systemInstructionobject

System-level instruction. Gemini keeps this outside contents, unlike the OpenAI system role.

partsarray[object]required

Instruction text, wrapped in the same part shape.

generationConfigobject

Sampling options. Gemini nests these instead of putting them at the top level.

maxOutputTokensinteger

The maximum number of tokens to generate in the completion. The maximum value is the model's context length minus the prompt length.

Min: 1

temperaturenumber

Controls the variety of the model's responses. Lower values make output more predictable and deterministic, higher values more diverse and random.

Default: 1Min: 0Max: 2

Voorbeeld verzoekinhoud

{
  "contents": [
    {
      "role": "user",
      "parts": [
        {
          "inline_data": {
            "mime_type": "image/png",
            "data": "<BASE64_IMAGE_DATA>"
          }
        },
        {
          "file_data": {
            "mime_type": "video/mp4",
            "file_uri": "https://example.com/your-video.mp4"
          }
        },
        {
          "text": "Please describe the content of this image/video"
        }
      ]
    }
  ],
  "generationConfig": {
    "maxOutputTokens": 32768,
    "temperature": 0.7
  }
}

Uitvoer-Schema

De API retourneert een ChatCompletion-compatibel antwoord.

idstringrequired

Unique identifier for the completion.

objectstringrequired

Object type, always "chat.completion".

Default: "chat.completion"

createdintegerrequired

Unix timestamp of when the completion was created.

modelstringrequired

The model used for the completion.

choicesarray[object]required

List of completion choices.

indexintegerrequired

Index of the choice.

messageobjectrequired

The generated message.

finish_reasonstringrequired

The reason generation stopped.

stoplengthcontent_filter

usageobjectrequired

Token usage statistics.

prompt_tokensintegerrequired

Number of tokens in the prompt.

completion_tokensintegerrequired

Number of tokens in the completion.

total_tokensintegerrequired

Total tokens used.

Voorbeeldantwoord

{
  "id": "chatcmpl-abc123",
  "object": "chat.completion",
  "created": 1700000000,
  "model": "model-name",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "Hello! How can I assist you today?"
      },
      "finish_reason": "stop"
    }
  ],
  "usage": {
    "prompt_tokens": 10,
    "completion_tokens": 20,
    "total_tokens": 30
  }
}

Atlas Cloud Skills

Atlas Cloud Skills integreert meer dan 400 AI-modellen rechtstreeks in uw AI-codeerassistent. Eén commando om te installeren, gebruik daarna natuurlijke taal om afbeeldingen, video's te genereren en te chatten met LLMs.

Ondersteunde clients

Claude Code

OpenAI Codex

Gemini CLI

Cursor

Windsurf

VS Code

Trae

GitHub Copilot

Cline

Roo Code

Amp

Goose

Replit

40+ ondersteunde clients

Installeren

npx skills add AtlasCloudAI/atlas-cloud-skills

API-sleutel instellen

Haal uw API-sleutel op via het Atlas Cloud dashboard en stel deze in als omgevingsvariabele.

export ATLASCLOUD_API_KEY="your-api-key-here"

Mogelijkheden

Eenmaal geïnstalleerd kunt u natuurlijke taal gebruiken in uw AI-assistent om toegang te krijgen tot alle Atlas Cloud modellen.

BeeldgeneratieGenereer afbeeldingen met modellen zoals Nano Banana 2, Z-Image en meer.

VideocreatieMaak video's van tekst of afbeeldingen met Kling, Vidu, Veo, enz.

LLM-chatChat met Qwen, DeepSeek en andere grote taalmodellen.

Media uploadenUpload lokale bestanden voor beeldbewerking en afbeelding-naar-video workflows.

Meer informatie

github.com/AtlasCloudAI/atlas-cloud-skills

MCP-server

De Atlas Cloud MCP-server verbindt uw IDE met meer dan 400 AI-modellen via het Model Context Protocol. Werkt met elke MCP-compatibele client.

Ondersteunde clients

Cursor

VS Code

Windsurf

Claude Code

OpenAI Codex

Gemini CLI

Cline

Roo Code

100+ ondersteunde clients

Installeren

npx -y atlascloud-mcp

Configuratie

Voeg de volgende configuratie toe aan het MCP-instellingenbestand van uw IDE.

{
  "mcpServers": {
    "atlascloud": {
      "command": "npx",
      "args": [
        "-y",
        "atlascloud-mcp"
      ],
      "env": {
        "ATLASCLOUD_API_KEY": "your-api-key-here"
      }
    }
  }
}

Beschikbare tools

atlas_generate_imageGenereer afbeeldingen op basis van tekstprompts.

atlas_generate_videoMaak video's van tekst of afbeeldingen.

atlas_chatChat met grote taalmodellen.

atlas_list_modelsBlader door meer dan 300 beschikbare AI-modellen.

atlas_quick_generateContentcreatie in één stap met automatische modelselectie.

atlas_upload_mediaUpload lokale bestanden voor API-workflows.

Meer informatie

github.com/AtlasCloudAI/mcp-server

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