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OpenAI 호환 함수 호출과 채팅 완성 API로 Venice 채팅 모델이 애플리케이션 도구를 호출하도록 하세요.
tools 배열로 도구를 정의합니다:
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["VENICE_API_KEY"],
base_url="https://api.venice.ai/api/v1",
)
tools = [
{
"type": "function",
"function": {
"name": "get_weather",
"description": "Get the current weather in a location",
"parameters": {
"type": "object",
"properties": {
"location": {
"type": "string",
"description": "City and state, such as San Francisco, CA",
}
},
"required": ["location"],
},
},
}
]
response = client.chat.completions.create(
model="zai-org-glm-5",
messages=[{"role": "user", "content": "What is the weather in San Francisco?"}],
tools=tools,
)
print(response.choices[0].message.tool_calls)
import OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.VENICE_API_KEY,
baseURL: "https://api.venice.ai/api/v1",
});
const tools = [
{
type: "function",
function: {
name: "get_weather",
description: "Get the current weather in a location",
parameters: {
type: "object",
properties: {
location: {
type: "string",
description: "City and state, such as San Francisco, CA",
},
},
required: ["location"],
},
},
},
];
const response = await client.chat.completions.create({
model: "zai-org-glm-5",
messages: [{ role: "user", content: "What is the weather in San Francisco?" }],
tools,
});
console.log(response.choices[0].message.tool_calls);
curl https://api.venice.ai/api/v1/chat/completions \
-H "Authorization: Bearer $VENICE_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "zai-org-glm-5",
"messages": [
{"role": "user", "content": "What is the weather in San Francisco?"}
],
"tools": [
{
"type": "function",
"function": {
"name": "get_weather",
"description": "Get the current weather in a location",
"parameters": {
"type": "object",
"properties": {
"location": {
"type": "string",
"description": "City and state, such as San Francisco, CA"
}
},
"required": ["location"]
}
}
}
]
}'
message.tool_calls를 확인하고 인수를 파싱한 뒤 애플리케이션 함수를 실행하고, 그 결과를 tool 메시지로 다시 전송합니다.
import json
message = response.choices[0].message
tool_call = message.tool_calls[0]
arguments = json.loads(tool_call.function.arguments)
weather = get_weather(arguments["location"])
follow_up = client.chat.completions.create(
model="zai-org-glm-5",
messages=[
{"role": "user", "content": "What is the weather in San Francisco?"},
message.model_dump(),
{
"role": "tool",
"tool_call_id": tool_call.id,
"content": json.dumps(weather),
},
],
tools=tools,
)
print(follow_up.choices[0].message.content)
supportsFunctionCalling이 지원되는 모델을 찾으려면 텍스트 모델 페이지나 Models API를 이용하세요.