cagent examples

agents:  root:  model: claude  description: Technical lead coordinating development  instruction: |  You are a technical lead managing a development team.  Coordinate tasks between developers and ensure quality.  sub_agents: [developer, reviewer, tester]   developer:  model: claude  description: Expert software developer  instruction: |  You are an expert developer. Write clean, efficient code  and follow best practices.  toolsets:  - type: filesystem  - type: shell  - type: think   reviewer:  model: gpt4  description: Code review specialist  instruction: |  You are a code review expert. Focus on code quality,  security, and maintainability.  toolsets:  - type: filesystem   tester:  model: gpt4  description: Quality assurance engineer  instruction: |  You are a QA engineer. Write tests and ensure  software quality.  toolsets:  - type: shell  - type: todo  models:  gpt4:  provider: openai  model: gpt-4o   claude:  provider: anthropic  model: claude-sonnet-4-0  max_tokens: 64000

agents:  root:  model: claude  description: Research assistant with web access  instruction: |  You are a research assistant. Help users find information,  analyze data, and provide insights.  toolsets:  - type: mcp  command: mcp-web-search  args: ["--provider", "duckduckgo"]  - type: todo  - type: memory  path: "./research_memory.db"  models:  claude:  provider: anthropic  model: claude-sonnet-4-0  max_tokens: 64000

#!/usr/bin/env cagent run version: "1"  agents:  root:  model: anthropic  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 the web to get  important information about the task that is asked   2. 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: anthropic  add_date: true  description: Search the web for information  instruction: |  Search the web for information   Always include sources  toolsets:  - type: mcp  command: uvx  args: ["duckduckgo-mcp-server"]   writer:  model: anthropic  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:  anthropic:  provider: anthropic  model: claude-3-5-sonnet-latest