gemini-2.5-flash Lite API

curl 'https://astralgames.ai/v1beta/models/gemini-2.5-flash-lite:generateContent' \
  -H "Content-Type: application/json" \
  -H "x-goog-api-key: $MODEL_API_KEY" \
  --data '{
  "contents": [
    {
      "role": "user",
      "parts": [
        {
          "text": "用三个简明步骤解释 HTTP 请求的工作过程。"
        }
      ]
    }
  ],
  "generationConfig": {
    "maxOutputTokens": 1024
  }
}'

const apiKey = process.env.MODEL_API_KEY;

const response = await fetch("https://astralgames.ai/v1beta/models/gemini-2.5-flash-lite:generateContent", {
  method: "POST",
  headers: {
    "Content-Type": "application/json",
    "x-goog-api-key": apiKey
  },
  body: JSON.stringify({
    "contents": [
      {
        "role": "user",
        "parts": [
          {
            "text": "用三个简明步骤解释 HTTP 请求的工作过程。"
          }
        ]
      }
    ],
    "generationConfig": {
      "maxOutputTokens": 1024
    }
  })
});

if (!response.ok) throw new Error(await response.text());
console.log(await response.text());

import os
import json
import requests

response = requests.post(
    "https://astralgames.ai/v1beta/models/gemini-2.5-flash-lite:generateContent",
    headers={
        "Content-Type": "application/json",
        "x-goog-api-key": os.environ["MODEL_API_KEY"]
    },
    json=json.loads("{\"contents\":[{\"role\":\"user\",\"parts\":[{\"text\":\"用三个简明步骤解释 HTTP 请求的工作过程。\"}]}],\"generationConfig\":{\"maxOutputTokens\":1024}}"),
    timeout=300,
)
response.raise_for_status()
print(response.text)

curl 'https://astralgames.ai/v1beta/models/gemini-2.5-flash-lite:streamGenerateContent?alt=sse' \
  -H "Content-Type: application/json" \
  -H "x-goog-api-key: $MODEL_API_KEY" \
  --data '{
  "contents": [
    {
      "role": "user",
      "parts": [
        {
          "text": "用三个简明步骤解释 HTTP 请求的工作过程。"
        }
      ]
    }
  ],
  "generationConfig": {
    "maxOutputTokens": 1024
  }
}'

const apiKey = process.env.MODEL_API_KEY;

const response = await fetch("https://astralgames.ai/v1beta/models/gemini-2.5-flash-lite:streamGenerateContent?alt=sse", {
  method: "POST",
  headers: {
    "Content-Type": "application/json",
    "x-goog-api-key": apiKey
  },
  body: JSON.stringify({
    "contents": [
      {
        "role": "user",
        "parts": [
          {
            "text": "用三个简明步骤解释 HTTP 请求的工作过程。"
          }
        ]
      }
    ],
    "generationConfig": {
      "maxOutputTokens": 1024
    }
  })
});

if (!response.ok) throw new Error(await response.text());
console.log(await response.text());

import os
import json
import requests

response = requests.post(
    "https://astralgames.ai/v1beta/models/gemini-2.5-flash-lite:streamGenerateContent?alt=sse",
    headers={
        "Content-Type": "application/json",
        "x-goog-api-key": os.environ["MODEL_API_KEY"]
    },
    json=json.loads("{\"contents\":[{\"role\":\"user\",\"parts\":[{\"text\":\"用三个简明步骤解释 HTTP 请求的工作过程。\"}]}],\"generationConfig\":{\"maxOutputTokens\":1024}}"),
    timeout=300,
)
response.raise_for_status()
print(response.text)

curl 'https://astralgames.ai/v1/interactions' \
  -H "Content-Type: application/json" \
  -H "x-goog-api-key: $MODEL_API_KEY" \
  --data '{
  "model": "gemini-2.5-flash-lite",
  "input": "用三个简明步骤解释 HTTP 请求的工作过程。",
  "stream": false
}'

const apiKey = process.env.MODEL_API_KEY;

const response = await fetch("https://astralgames.ai/v1/interactions", {
  method: "POST",
  headers: {
    "Content-Type": "application/json",
    "x-goog-api-key": apiKey
  },
  body: JSON.stringify({
    "model": "gemini-2.5-flash-lite",
    "input": "用三个简明步骤解释 HTTP 请求的工作过程。",
    "stream": false
  })
});

if (!response.ok) throw new Error(await response.text());
console.log(await response.text());

import os
import json
import requests

response = requests.post(
    "https://astralgames.ai/v1/interactions",
    headers={
        "Content-Type": "application/json",
        "x-goog-api-key": os.environ["MODEL_API_KEY"]
    },
    json=json.loads("{\"model\":\"gemini-2.5-flash-lite\",\"input\":\"用三个简明步骤解释 HTTP 请求的工作过程。\",\"stream\":false}"),
    timeout=300,
)
response.raise_for_status()
print(response.text)

curl 'https://astralgames.ai/v1beta/interactions' \
  -H "Content-Type: application/json" \
  -H "x-goog-api-key: $MODEL_API_KEY" \
  --data '{
  "model": "gemini-2.5-flash-lite",
  "input": "用三个简明步骤解释 HTTP 请求的工作过程。",
  "stream": false
}'

const apiKey = process.env.MODEL_API_KEY;

const response = await fetch("https://astralgames.ai/v1beta/interactions", {
  method: "POST",
  headers: {
    "Content-Type": "application/json",
    "x-goog-api-key": apiKey
  },
  body: JSON.stringify({
    "model": "gemini-2.5-flash-lite",
    "input": "用三个简明步骤解释 HTTP 请求的工作过程。",
    "stream": false
  })
});

if (!response.ok) throw new Error(await response.text());
console.log(await response.text());

import os
import json
import requests

response = requests.post(
    "https://astralgames.ai/v1beta/interactions",
    headers={
        "Content-Type": "application/json",
        "x-goog-api-key": os.environ["MODEL_API_KEY"]
    },
    json=json.loads("{\"model\":\"gemini-2.5-flash-lite\",\"input\":\"用三个简明步骤解释 HTTP 请求的工作过程。\",\"stream\":false}"),
    timeout=300,
)
response.raise_for_status()
print(response.text)