News Aggregator Agent

Specifications

create_vertical_agent_network:
  agent-1:
    tools:
      tool_assigned:
      - name: Tavily
        config:
          API_key: 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
    LLM_config:
      params:
        model: gpt-4o-mini
        max_tokens: 1000
        temperature: 0.5
        request_timeout: 600
    agent_name: Agent_1
    incoming_edge:
    - Start
    outgoing_edge:
    - Agent_2
    agent_function:
    - 'You are a news searcher which can search for the news asked by user.

      You can grab the data from internet about the latest news asked by user. '
  agent-2:
    LLM_config:
      params:
        model: gpt-4o-mini
        max_tokens: 1000
        temperature: 0.5
        request_timeout: 600
    agent_name: Agent_2
    incoming_edge:
    - Agent_1
    outgoing_edge: []
    agent_function:
    - You are a news aggregator your task is to conclude the news and tell or show
      the final information of the news. In short you have to make and show concise
      of that news and provide it to the end user.

Developer Quick Start

pip install svahnar

export SVAHNAR_API_KEY="your_api_key_here"

from svahnar import Svahnar
from pathlib import Path

client = Svahnar()

# Deploy the agent configuration
agent = client.agents.create(
    name="News Aggregator Agent",
    description="This agent search about the latest news in world according to your query, aggregate the result and provide it to you.",
    deploy_to="Organization",
    yaml_content=Path("agent.yaml")
)
print(f"Created Agent ID: {agent.id}")

from svahnar import Svahnar

client = Svahnar()

# Run the agent using its ID
response = client.agents.run(
    agent_id="YOUR_DEPLOYED_AGENT_ID",  # Replace with your agent ID from Step 4
    message="Your input message here"
)
print(response)