Web Search

1from openai import OpenAI
2
3client = OpenAI(
4    api_key="your-api-key",
5    base_url="https://api.selamgpt.com/v1"
6)
7
8# Enable web search with tools parameter
9response = client.chat.completions.create(
10    model="selam-turbo",
11    messages=[{
12        "role": "user",
13        "content": "What are the latest AI developments from last week?"
14    }],
15    tools=[{"type": "web_search"}]  # Enable web search
16)
17
18print(response.choices[0].message.content)

1response = client.chat.completions.create(
2    model="selam-turbo",
3    messages=[{
4        "role": "user",
5        "content": "What's happening in quantum computing?"
6    }],
7    tools=[{"type": "web_search"}],
8    stream=True  # Streaming enabled
9)
10
11for chunk in response:
12    if chunk.choices[0].delta.content:
13        print(chunk.choices[0].delta.content, end="")

1# No tools parameter needed for built-in search models
2response = client.chat.completions.create(
3    model="selam-search",  # Has built-in search
4    messages=[{
5        "role": "user",
6        "content": "Latest AI news"
7    }]
8    # No tools parameter!
9)

1messages = [
2    {"role": "user", "content": "What are the latest AI models released?"}
3]
4
5# First turn with search
6response = client.chat.completions.create(
7    model="selam-turbo",
8    messages=messages,
9    tools=[{"type": "web_search"}]
10)
11
12# Add assistant response to conversation
13messages.append({
14    "role": "assistant",
15    "content": response.choices[0].message.content
16})
17
18# Follow-up question (search context is maintained)
19messages.append({
20    "role": "user",
21    "content": "Which one would you recommend for coding tasks?"
22})
23
24response = client.chat.completions.create(
25    model="selam-turbo",
26    messages=messages
27)

1{
2  "id": "chatcmpl-xxx",
3  "object": "chat.completion",
4  "created": 1234567890,
5  "model": "selam-turbo",
6  "choices": [{
7    "index": 0,
8    "message": {
9      "role": "assistant",
10      "content": "Based on recent web search results, the latest AI developments include...\n\nSources:\n- https://example.com/article1\n- https://example.com/article2"
11    },
12    "finish_reason": "stop"
13  }],
14  "usage": {
15    "prompt_tokens": 150,
16    "completion_tokens": 200,
17    "total_tokens": 350
18  }
19}

1# Even if search fails, you'll still get a response
2try:
3    response = client.chat.completions.create(
4        model="selam-turbo",
5        messages=[{"role": "user", "content": "What is AI?"}],
6        tools=[{"type": "web_search"}]
7    )
8    # Response generated, possibly without web search context
9    print(response.choices[0].message.content)
10except Exception as e:
11    print(f"Request failed: {e}")

1# For general queries with search
2model="selam-turbo"
3tools=[{"type": "web_search"}]
4
5# For search-optimized queries
6model="selam-search"  # No tools needed

1response_text = response.choices[0].message.content
2
3# The response will include citations like:
4# "According to recent reports [1], quantum computing has advanced...
5# Sources:
6# [1] https://example.com/quantum-news"
7
8# You can parse and display these citations in your UI