Web Search

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from openai import OpenAI
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client = OpenAI(
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    base_url="https://api.neura-ai.app/v1"
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)
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response = client.responses.create(
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    model="gpt-4o",
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    tools=[{"type": "web_search_preview"}],
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    input="What was a positive news story from today?"
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)
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print(response.output_text)

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response = client.chat.completions.create(
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    model="deepseek-v3-0324-search",
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    messages=[
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        {"role": "user", "content": "What are the latest developments in quantum computing?"}
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    ]
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)
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print(response.choices[0].message.content)

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response = client.responses.create(
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    model="gpt-4o",
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    tools=[{"type": "web_search_preview"}],
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    input="Summarize the top technology news from this week"
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)

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response = client.responses.create(
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    model="gpt-5",
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    tools=[{"type": "web_search_preview"}],
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    input="What is the current price of Bitcoin and what factors are influencing it?"
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)

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response = client.responses.create(
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    model="gemini-2.5-pro",
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    tools=[{"type": "web_search_preview"}],
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    input="""
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    What are the recent FDA approvals for Alzheimer's treatments?
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    Include drug names, approval dates, and mechanism of action.
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    """
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)

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response = client.responses.create(
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    model="gpt-4o",
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    tools=[{"type": "web_search_preview"}],
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    input="Is it true that SpaceX launched a mission to Mars last month?"
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)

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response = client.responses.create(
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    model="gpt-5",
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    tools=[{"type": "web_search_preview"}],
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    input="Compare the specs and pricing of the latest flagship smartphones from Apple and Samsung"
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)

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tools = [
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    {"type": "web_search_preview"},
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    {
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        "type": "function",
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        "function": {
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            "name": "save_to_database",
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            "description": "Save information to database",
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            "parameters": {
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                "type": "object",
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                "properties": {
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                    "data": {"type": "string"}
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                }
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            }
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        }
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    }
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]
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response = client.responses.create(
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    model="gpt-4o",
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    tools=tools,
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    input="Find the latest Tesla stock price and save it to the database"
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)

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response = client.responses.create(
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    model="gpt-4o",
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    tools=[
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        {"type": "web_search_preview"},
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        {"type": "code_interpreter", "container": {"type": "auto"}}
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    ],
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    input="""
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    Find the GDP growth rates for G7 countries in 2024,
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    then create a bar chart visualization comparing them.
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    """
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)

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# Without search
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model="gpt-5"
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# With search enabled
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model="gpt-5-search"

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messages = [
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    {"role": "system", "content": "You are a helpful assistant with access to current information."},
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    {"role": "user", "content": "Who won the latest Formula 1 race?"}
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]
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response = client.chat.completions.create(
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    model="gpt-5-search",
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    messages=messages
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)
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# Add assistant response to conversation
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messages.append(response.choices[0].message)
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# Continue conversation
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messages.append({"role": "user", "content": "What were the lap times?"})
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response = client.chat.completions.create(
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    model="gpt-5-search",
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    messages=messages
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)

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# Less effective
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"Tell me about climate change"
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# More effective
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"What are the latest IPCC findings on global temperature rise published in 2024?"

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input="Find recent peer-reviewed studies on ketogenic diets for epilepsy treatment, focusing on pediatric applications"

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input="What were the major AI breakthroughs in the last 6 months?"