Parallel

uv pip install -U parallel-web openai

export PARALLEL_API_KEY=***

from agno.agent import Agent
from agno.tools.parallel import ParallelTools

agent = Agent(
    tools=[ParallelTools(
        max_results=10,
        include_domains=["techcrunch.com", "wired.com"],
    )],
    markdown=True,
)

agent.print_response("What are the latest developments in AI agents?")

from agno.agent import Agent
from agno.tools.parallel import ParallelTools

agent = Agent(
    tools=[ParallelTools(
        enable_search=False,
        enable_extract=True,
    )],
    markdown=True,
)

agent.print_response(
    "Extract the product features from https://parallel.ai and https://docs.parallel.ai"
)

from agno.agent import Agent
from agno.tools.parallel import ParallelTools

# Define the schema for structured output
enrichment_tools = ParallelTools(
    enable_search=False,
    enable_extract=False,
    enable_task=True,
    default_processor="base",
    default_output_schema={
        "type": "json",
        "json_schema": {
            "type": "object",
            "properties": {
                "company_name": {"type": "string"},
                "headquarters": {"type": "string"},
                "employee_count": {"type": "string"},
                "total_funding": {"type": "string"},
                "key_investors": {
                    "type": "array",
                    "items": {"type": "string"},
                },
            },
            "required": ["company_name"],
        },
    },
)

agent = Agent(
    tools=[enrichment_tools],
    markdown=True,
    instructions="Use create_task() to research, then get_task_result() to retrieve data.",
)

agent.print_response("Research Anthropic and return structured company data")

from agno.agent import Agent
from agno.tools.parallel import ParallelTools

monitor_tools = ParallelTools(
    enable_search=False,
    enable_extract=False,
    enable_monitor=True,
    default_monitor_frequency="1d",
    default_monitor_processor="lite",
)

agent = Agent(
    tools=[monitor_tools],
    markdown=True,
    instructions="""Track competitors using:
    - create_monitor(query): Start tracking
    - list_monitors(): See active monitors
    - get_monitor_events(monitor_id): Get detected changes
    - cancel_monitor(monitor_id): Stop tracking
    """,
)

# Create monitors
agent.print_response("Create monitors to track OpenAI and Anthropic product launches")

# Later: check for events
agent.print_response("List my monitors and fetch recent events")