Web Search

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response = client.agents.messages.create(
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    agent_id=agent.id,
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    messages=[
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        {
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            "role": "user",
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            "content": "What are the latest developments in agent-based AI systems?"
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        }
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    ]
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)

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memory_blocks=[
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    {
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        "label": "persona",
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        "value": "I'm a helpful assistant. I use web_search for current events, recent news, and topics requiring up-to-date information. I cite my sources."
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    }
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]

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# Create agent with both web_search and archival memory tools
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agent = client.agents.create(
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    model="openai/gpt-4o",
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    embedding="openai/text-embedding-3-small",
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    tools=["web_search", "archival_memory_search", "archival_memory_insert"],
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    memory_blocks=[
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        {
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            "label": "persona",
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            "value": "I use web_search for current events and external research. I use archival_memory_search for company-specific information and internal documents."
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        }
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    ]
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)

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memory_blocks=[
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    {
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        "label": "search_strategy",
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        "value": "When searching, I craft clear, descriptive queries that focus on topics rather than keywords. I use the category and date filters when appropriate to narrow results."
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    }
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]

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memory_blocks=[
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    {
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        "label": "search_guidelines",
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        "value": "I avoid setting include_text=true unless specifically needed, as full text usually overflows the context window. Highlights and summaries are usually sufficient."
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    }
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]

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agent = client.agents.create(
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    model="openai/gpt-4o",
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    tools=["web_search"],
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    memory_blocks=[
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        {
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            "label": "persona",
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            "value": "I'm a research assistant. I search for relevant information, synthesize findings from multiple sources, and provide citations."
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        }
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    ]
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)

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agent = client.agents.create(
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    model="openai/gpt-4o-mini",
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    tools=["web_search"],
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    memory_blocks=[
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        {
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            "label": "persona",
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            "value": "I monitor news and provide briefings on AI industry developments."
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        },
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        {
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            "label": "topics",
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            "value": "Focus: AI/ML, agent systems, LLM advancements"
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        }
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    ]
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)

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agent = client.agents.create(
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    model="openai/gpt-4o",
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    tools=["web_search"],
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    memory_blocks=[
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        {
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            "label": "persona",
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            "value": "I help customers by checking documentation, service status pages, and community discussions for solutions."
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        }
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    ]
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)

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# Verify tools
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agent = client.agents.retrieve(agent_id=agent.id)
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print([tool.name for tool in agent.tools])

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agent = client.agents.create(
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    model="openai/gpt-4o",
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    tools=["fetch_webpage", "web_search"],
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    memory_blocks=[{
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        "label": "persona",
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        "value": "I search for documentation with web_search and read it with fetch_webpage."
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    }]
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)

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agent = client.agents.create(
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    model="openai/gpt-4o",
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    tools=["fetch_webpage", "archival_memory_insert"],
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    memory_blocks=[{
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        "label": "persona",
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        "value": "I fetch articles and store key insights in archival memory for later reference."
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    }]
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)

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agent = client.agents.create(
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    model="openai/gpt-4o",
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    tools=["fetch_webpage"],
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    memory_blocks=[{
5
        "label": "persona",
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        "value": "I fetch webpages and provide summaries of their content."
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    }]
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)