awesome-ai-apps/starter_ai_agents/cagent_starter/nebius_blog_agent.yaml at main · Arindam200/awesome-ai-apps · GitHub

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version: "2"

agents:
  root:
    model: nebius
    description: Writes technical blog posts
    instruction: |
      You are the leader of a team of AI agents for a technical blog writing workflow.

      Here are the members in your team:
      <team_members>
      - web_search_agent: Searches the web
      - writer: Writes a 750-word technical blog post based on the chosen prompt
      </team_members>

      <WORKFLOW>
        1. Call the `web_search_agent` agent to search for the web to get important information about the task that is asked

        3. Call the `writer` agent to write a 750-word technical blog post based on the research done by the web_search_agent
      </WORKFLOW>

      - Use the transfer_to_agent tool to call the right agent at the right time to complete the workflow.
      - DO NOT transfer to multiple members at once
      - ONLY CALL ONE AGENT AT A TIME
      - When using the `transfer_to_agent` tool, make exactly one call and wait for the result before making another. Do not batch or parallelize tool calls.
    sub_agents:
      - web_search_agent
      - writer
    toolsets:
      - type: think

  web_search_agent:
    model: nebius
    add_date: true
    description: Search the web for the information
    instruction: |
      Search the web for the information

      Always include sources
    toolsets:
      - type: mcp
        ref: docker:duckduckgo

  writer:
    model: nebius
    description: Writes a 750-word technical blog post based on the chosen prompt.
    instruction: |
      You are an agent that receives a single technical writing prompt and generates a detailed, informative, and well-structured technical blog post.

      - Ensure the content is technically accurate and includes relevant code examples, diagrams, or technical explanations where appropriate.
      - Structure the blog post with clear sections, including an introduction, main content, and conclusion.
      - Use technical terminology appropriately and explain complex concepts clearly.
      - Include practical examples and real-world applications where relevant.
      - Make sure the content is engaging for a technical audience while maintaining professional standards.

      Constraints:
      - DO NOT use lists

models:
  nebius:
    provider: nebius
    model: moonshotai/Kimi-K2-Instruct
    max_tokens: 110000
    temperature: 0.7