文本生成
通过 OpenAI SDK 或者其他 OpenAI 兼容接口的客户端，您只需要更改 model 参数即可调用所有文本模型。
请求体
您可以将参数 stream 设置为 true 来使用流式输出。
提示
不同模型支持的参数不尽相同，您可以访问 模型页面 来查看调用模型所支持的参数。
python
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="http://server.opendatasky.com/v1/api/open-ai/ds"
)
completion = client.chat.completions.create(
model="claude-3.5-sonnet",
messages=[
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "Hello!"}
],
top_p=0.7,
temperature=0.9
stream=True
)
print(completion.choices[0].message)curl
curl http://server.opendatasky.com/v1/api/open-ai/ds/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $YOUR_API_KEY" \
-d '{
"model": "glm-4-flash",
"messages": [
{
"role": "system",
"content": "You are a helpful assistant."
},
{
"role": "user",
"content": "Hello!"
}
]
}'node.js
import OpenAI from "openai";
const openai = new OpenAI(
api_key="YOUR_API_KEY",
base_url="http://server.opendatasky.com/v1/api/open-ai/ds"
);
async function main() {
const completion = await openai.chat.completions.create({
messages: [{ role: "system", content: "You are a helpful assistant." }],
model: "gpt-4o",
});
console.log(completion.choices[0]);
}
main();响应（非流式输出）
{
"id": "chatcmpl-123",
"object": "chat.completion",
"created": 1677652288,
"model": "gpt-4o-mini",
"system_fingerprint": "fp_44709d6fcb",
"choices": [{
"index": 0,
"message": {
"role": "assistant",
"content": "\n\nHello there, how may I assist you today?",
},
"logprobs": null,
"finish_reason": "stop"
}],
"usage": {
"prompt_tokens": 9,
"completion_tokens": 12,
"total_tokens": 21,
"completion_tokens_details": {
"reasoning_tokens": 0
}
}
}响应（流式输出）
{"id":"chatcmpl-123","object":"chat.completion.chunk","created":1694268190,"model":"gpt-4o-mini", "system_fingerprint": "fp_44709d6fcb", "choices":[{"index":0,"delta":{"role":"assistant","content":""},"logprobs":null,"finish_reason":null}]}
{"id":"chatcmpl-123","object":"chat.completion.chunk","created":1694268190,"model":"gpt-4o-mini", "system_fingerprint": "fp_44709d6fcb", "choices":[{"index":0,"delta":{"content":"Hello"},"logprobs":null,"finish_reason":null}]}
....
{"id":"chatcmpl-123","object":"chat.completion.chunk","created":1694268190,"model":"gpt-4o-mini", "system_fingerprint": "fp_44709d6fcb", "choices":[{"index":0,"delta":{},"logprobs":null,"finish_reason":"stop"}]}图片输入
当前许多文本模型都拥有视觉识别（Vision）的能力，这些模型允许输入图片并根据输入的图像处理和理解图像信息。您可以使用 URL 或 Base64 来输入图片。
URL
python
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="http://server.opendatasky.com/v1/api/open-ai/ds"
)
response = client.chat.completions.create(
model="gpt-4o",
messages=[
{
"role": "user",
"content": [
{"type": "text", "text": "What's in this image?"},
{
"type": "image_url",
"image_url": {
"url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg",
}
},
],
}
],
max_tokens=300,
)
print(response.choices[0])curl
curl http://server.opendatasky.com/v1/api/open-ai/ds/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $YOUR_API_KEY" \
-d '{
"model": "gpt-4o",
"messages": [
{
"role": "user",
"content": [
{
"type": "text",
"text": "What'\''s in this image?"
},
{
"type": "image_url",
"image_url": {
"url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg"
}
}
]
}
],
"max_tokens": 300
}'node.js
import OpenAI from "openai";
const openai = new OpenAI(
api_key="YOUR_API_KEY",
base_url="http://server.opendatasky.com/v1/api/open-ai/ds"
);
async function main() {
const response = await openai.chat.completions.create({
model: "gpt-4o",
messages: [
{
role: "user",
content: [
{ type: "text", text: "What's in this image?" },
{
type: "image_url",
image_url: {
"url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg",
},
}
],
},
],
});
console.log(response.choices[0]);
}
main();Base64
python
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="http://server.opendatasky.com/v1/api/open-ai/ds"
)
response = client.chat.completions.create(
model="gpt-4o",
messages=[
{
"role": "user",
"content": [
{"type": "text", "text": "What's in this image?"},
{
"type": "image_url",
"image_url": {
"url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg",
}
},
],
}
],
max_tokens=300,
)
print(response.choices[0])curl
curl http://server.opendatasky.com/v1/api/open-ai/ds/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $OPENAI_API_KEY" \
-d '{
"model": "gpt-4o",
"messages": [
{
"role": "user",
"content": [
{
"type": "text",
"text": "What'\''s in this image?"
},
{
"type": "image_url",
"image_url": {
"url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg"
}
}
]
}
],
"max_tokens": 300
}'node.js
import OpenAI from "openai";
const openai = new OpenAI(
api_key="YOUR_API_KEY",
base_url="http://server.opendatasky.com/v1/api/open-ai/ds"
);
async function main() {
const response = await openai.chat.completions.create({
model: "gpt-4o",
messages: [
{
role: "user",
content: [
{ type: "text", text: "What's in this image?" },
{
type: "image_url",
image_url: {
"url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg",
},
}
],
},
],
});
console.log(response.choices[0]);
}
main();Tools
python
待补充curl
待补充