اتصال فریم ورک ها و SDK ها به API گیلاس

 1import os
 2from langchain.chat_models import ChatOpenAI
 3from langchain.schema import (HumanMessage, SystemMessage)
 4
 5chat = ChatOpenAI(
 6    api_key="YOUR_GILAS_API_KEY",
 7    base_url="https://api.gilas.io/v1",
 8    temperature=0)
 9human_message = "Translate from English to Farsi: I love playing Tennis"
10chat([HumanMessage(content = human_message)])

1import os
2
3os.environ["OPENAI_API_KEY"] = "YOUR_GILAS_API_KEY"
4os.environ["OPENAI_API_BASE"] = "https://api.gilas.io/v1"
5
6chat = ChatOpenAI(temperature=0)
7human_message = "Translate from English to Farsi: I love playing Tennis"
8chat([HumanMessage(content = human_message)])

1from haystack.components.generators import OpenAIGenerator
2
3client = OpenAIGenerator(
4    api_key="YOUR_GILAS_API_KEY",
5    api_base_url="https://api.gilas.io/v1"
6    model="gpt-4o")
7response = client.run("What's Natural Language Processing? Be brief.")
8print(response)

 1from llama_index.llms.openai import OpenAI
 2
 3llm = OpenAI(
 4    model="gpt-4o-mini",
 5    api_key="YOUR_GILAS_API_KEY",
 6    api_base="https://api.gilas.io/v1"
 7)
 8
 9resp = llm.complete("Iran is ")
10print(resp)

1import os
2import autogen
3
4llm_config = {
5    "config_list": [{"model": "gpt-4o", "api_key": "YOUR_GILAS_API_KEY", "base_url": "https://api.gilas.io/v1"}],
6}
7
8assistant = autogen.AssistantAgent(name="assistant", llm_config=llm_config)

 1from openai import OpenAI
 2
 3client = OpenAI(
 4    api_key="YOUR_GILAS_API_KEY",
 5    api_base = "https://api.gilas.io/v1"
 6)
 7
 8chat_completion = client.chat.completions.create(
 9    messages=[
10        {
11            "role": "user",
12            "content": "Say this is a test",
13        }
14    ],
15    model="gpt-4o",
16)

 1import OpenAI from 'openai';
 2
 3const client = new OpenAI({
 4  apiKey: 'YOUR_GILAS_API_KEY',
 5  baseURL: 'https://api.gilas.io/v1'
 6});
 7
 8async function main() {
 9  const chatCompletion = await client.chat.completions.create({
10    messages: [{ role: 'user', content: 'Say this is a test' }],
11    model: 'gpt-4o',
12  });
13}
14
15main();

 1package main
 2
 3import (
 4	"context"
 5
 6	"github.com/openai/openai-go"
 7	"github.com/openai/openai-go/option"
 8)
 9
10func main() {
11	client := openai.NewClient(
12		option.WithAPIKey("YOUR_GILAS_API_KEY"), 
13        option.WithBaseURL("https://api.gilas.io/v1")
14	)
15	chatCompletion, err := client.Chat.Completions.New(context.TODO(), openai.ChatCompletionNewParams{
16		Messages: openai.F([]openai.ChatCompletionMessageParamUnion{
17			 openai.UserMessage("Say this is a test"),
18		}),
19		Model: openai.F(openai.ChatModelGPT4o),
20	})
21	if err != nil {
22		panic(err.Error())
23	}
24	println(chatCompletion.Choices[0].Message.Content)
25}

1import com.openai.client.OpenAIClient;
2import com.openai.client.okhttp.OpenAIOkHttpClient;
3
4OpenAIClient client = OpenAIOkHttpClient.builder()
5    .apiKey("My API Key")
6    .baseUrl("https://api.gilas.io/v1")
7    .build();

 1import anthropic
 2
 3client = anthropic.Anthropic(
 4    api_key='YOUR_GILAS_API_KEY',
 5    base_url="https://api.gilas.io/v1"
 6)
 7message = client.messages.create(
 8    model="claude-3-5-sonnet-latest",
 9    max_tokens=1024,
10    messages=[
11        {"role": "user", "content": "Hello, Claude"}
12    ]
13)
14print(message.content)